diff --git a/app.py b/app.py
index ba1e857b438286dcc25522e3cfa34df8eaffeca4..27158502e9fa22ae0f6856298e4da1f936e8c014 100644
--- a/app.py
+++ b/app.py
@@ -27,7 +27,7 @@ To do that we added following text to the query:
{}
-All of the call were made from the same machine with the same internet connection with usage of the LiteLLM library which may adds some time overhead compared to pure curl calls.
+All of the call were made from the same machine with the same internet connection with usage of the LiteLLM library which may adds some time overhead compared to pure curl calls. Call were made from Poland, UTC +1.
Please take a look at the following project and let us know if you have any questions or suggestions.
"""
diff --git a/data/2024-01-17 12:38:58.304815_summary.csv b/data/2024-01-17 12:38:58.304815_summary.csv
deleted file mode 100644
index 674459a1343a72c921d8c84956e53ecbf1d57e27..0000000000000000000000000000000000000000
--- a/data/2024-01-17 12:38:58.304815_summary.csv
+++ /dev/null
@@ -1,28 +0,0 @@
-model,language,template_name,execution_time,characters_count,words_count,chunk_sizes,chunk_generation_times,chunk_generation_times_by_chunk_sizes
-Mistral-7B-Instruct-v0.2,english,call,,,,,,
-Mistral-7B-Instruct-v0.2,english,json,3.6487972736358643,303.5,51.0,3.570588235294118,0.03324383567361271,0.001449326305389626
-Mistral-7B-Instruct-v0.2,english,markdown,4.151226162910461,358.0,60.0,3.58,0.03327744722366333,0.0006092002057602237
-Mistral-7B-Instruct-v0.2,japanese,call,,,,,,
-Mistral-7B-Instruct-v0.2,japanese,json,0.9473649263381958,0.0,0.0,,,
-Mistral-7B-Instruct-v0.2,japanese,markdown,0.8581207990646362,0.0,0.0,,,
-Mixtral-8x7B-Instruct-v0.1,english,json,2.337923765182495,305.5,48.5,3.636904761904762,0.009715833834239416,0.00017000696402891426
-TinyLlama/TinyLlama-1.1B-Chat-v1.0,english,json,1.9294229745864868,334.0,55.5,3.5913978494623655,0.01203190895818895,0.0005004366755420837
-gemini-pro,english,json,,,,,,
-gpt-3.5-turbo,english,call,2.724249005317688,303.0,52.5,,,
-gpt-3.5-turbo,english,json,1.7111433148384094,282.25,48.5,4.342307692307692,0.017717334857353797,0.0006912943431051048
-gpt-3.5-turbo,english,markdown,2.6450350284576416,403.0,66.5,4.380434782608695,0.018466552962427555,0.0005482604451258303
-gpt-3.5-turbo,japanese,call,9.296517014503479,322.0,1.0,,,
-gpt-3.5-turbo,japanese,json,5.7430419921875,229.5,4.0,1.1167883211678833,0.02545691406639823,0.0004982973938963198
-gpt-3.5-turbo,japanese,markdown,8.998926281929016,369.5,1.0,1.098068350668648,0.024078829327451527,0.0006811250911499464
-llama-2-70b-chat,english,call,,,,,,
-llama-2-70b-chat,english,json,2.0344420671463013,292.0,43.5,3.4352941176470586,0.0120459423345678,0.0008612603182374274
-llama-2-70b-chat,english,markdown,3.0651516914367676,532.5,77.0,3.9444444444444446,0.013201815993697555,0.0003262027774235997
-llama-2-70b-chat,japanese,call,,,,,,
-llama-2-70b-chat,japanese,json,5.301165580749512,459.0,49.0,1.9827213822894167,0.015144962471453211,0.00037437952061093125
-llama-2-70b-chat,japanese,markdown,10.500205397605896,2586.5,395.5,4.664562669071235,0.016482780386027827,0.00010443909883635945
-zephyr-7b-beta,english,call,,,,,,
-zephyr-7b-beta,english,json,4.1515063643455505,357.5,60.0,3.8440860215053765,0.035762690087800385,0.0038104588643407896
-zephyr-7b-beta,english,markdown,4.133428335189819,348.0,62.0,3.625,0.0346326952179273,0.0010808045642794416
-zephyr-7b-beta,japanese,call,,,,,,
-zephyr-7b-beta,japanese,json,1.044502854347229,0.0,0.0,,,
-zephyr-7b-beta,japanese,markdown,0.8821841478347778,0.0,0.0,,,
diff --git a/data/2024-01-17 12:39:37.086623_time_of_day_comparison.csv b/data/2024-01-17 12:39:37.086623_time_of_day_comparison.csv
deleted file mode 100644
index 9ee6129232b30bd322cacec560ea5f763b1c39cd..0000000000000000000000000000000000000000
--- a/data/2024-01-17 12:39:37.086623_time_of_day_comparison.csv
+++ /dev/null
@@ -1,12 +0,0 @@
-model,time_of_day,execution_time,characters_count,words_count
-Mistral-7B-Instruct-v0.2,morning,2.4013772904872894,165.375,27.75
-Mistral-7B-Instruct-v0.2,noon,,,
-Mixtral-8x7B-Instruct-v0.1,noon,2.337923765182495,305.5,48.5
-TinyLlama/TinyLlama-1.1B-Chat-v1.0,noon,1.9294229745864868,334.0,55.5
-gemini-pro,noon,,,
-gpt-3.5-turbo,morning,5.1754879752794904,316.3333333333333,28.25
-gpt-3.5-turbo,noon,5.12265948454539,338.6666666666667,32.666666666666664
-llama-2-70b-chat,morning,5.2554163336753845,967.5,141.25
-llama-2-70b-chat,noon,1.9137414693832397,292.0,43.5
-zephyr-7b-beta,morning,2.5529667139053345,176.375,30.5
-zephyr-7b-beta,noon,4.151261210441589,357.5,60.0
diff --git a/data/2024-01-18 10:30:01.312286_time_of_day_comparison.csv b/data/2024-01-18 10:30:01.312286_time_of_day_comparison.csv
deleted file mode 100644
index c353b8fa2dfd2805072c64946b7686fc043f498c..0000000000000000000000000000000000000000
--- a/data/2024-01-18 10:30:01.312286_time_of_day_comparison.csv
+++ /dev/null
@@ -1,12 +0,0 @@
-model,time_of_day,execution_time,characters_count,words_count
-Mistral-7B-Instruct-v0.2,morning,2.4013772904872894,165.375,27.75
-Mistral-7B-Instruct-v0.2,noon,2.43726247549057,165.375,27.75
-Mixtral-8x7B-Instruct-v0.1,noon,8.433558851480484,507.75,44.75
-TinyLlama/TinyLlama-1.1B-Chat-v1.0,noon,1.4488664865493774,162.0,27.625
-gemini-pro,noon,,,
-gpt-3.5-turbo,morning,5.1754879752794904,316.3333333333333,28.25
-gpt-3.5-turbo,noon,5.076187094052632,323.5833333333333,26.083333333333332
-llama-2-70b-chat,morning,5.2554163336753845,967.5,141.25
-llama-2-70b-chat,noon,5.080266445875168,967.5,141.25
-zephyr-7b-beta,morning,2.5529667139053345,176.375,30.5
-zephyr-7b-beta,noon,2.5973838567733765,176.25,30.375
diff --git a/data/2024-01-22 12:13:19.498935_general_plot.csv b/data/2024-01-22 12:13:19.498935_general_plot.csv
deleted file mode 100644
index dd6be7e77876d07df56c0943b6d72ac40de2172c..0000000000000000000000000000000000000000
--- a/data/2024-01-22 12:13:19.498935_general_plot.csv
+++ /dev/null
@@ -1,327 +0,0 @@
-path,plot_object,description
-./html/plots/response_times.html,"Figure({
- 'data': [{'alignmentgroup': 'True',
- 'hovertemplate': 'model=%{x}
execution_time=%{y}',
- 'legendgroup': 'Mistral-7B-Instruct-v0.2',
- 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
- 'name': 'Mistral-7B-Instruct-v0.2',
- 'offsetgroup': 'Mistral-7B-Instruct-v0.2',
- 'orientation': 'v',
- 'showlegend': True,
- 'textposition': 'auto',
- 'type': 'bar',
- 'x': array(['Mistral-7B-Instruct-v0.2'], dtype=object),
- 'xaxis': 'x',
- 'y': array([2.41931988]),
- 'yaxis': 'y'},
- {'alignmentgroup': 'True',
- 'hovertemplate': 'model=%{x}
execution_time=%{y}',
- 'legendgroup': 'Mixtral-8x7B-Instruct-v0.1',
- 'marker': {'color': '#EF553B', 'pattern': {'shape': ''}},
- 'name': 'Mixtral-8x7B-Instruct-v0.1',
- 'offsetgroup': 'Mixtral-8x7B-Instruct-v0.1',
- 'orientation': 'v',
- 'showlegend': True,
- 'textposition': 'auto',
- 'type': 'bar',
- 'x': array(['Mixtral-8x7B-Instruct-v0.1'], dtype=object),
- 'xaxis': 'x',
- 'y': array([8.43355885]),
- 'yaxis': 'y'},
- {'alignmentgroup': 'True',
- 'hovertemplate': 'model=%{x}
execution_time=%{y}',
- 'legendgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
- 'marker': {'color': '#00cc96', 'pattern': {'shape': ''}},
- 'name': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
- 'offsetgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
- 'orientation': 'v',
- 'showlegend': True,
- 'textposition': 'auto',
- 'type': 'bar',
- 'x': array(['TinyLlama/TinyLlama-1.1B-Chat-v1.0'], dtype=object),
- 'xaxis': 'x',
- 'y': array([1.44886649]),
- 'yaxis': 'y'},
- {'alignmentgroup': 'True',
- 'hovertemplate': 'model=%{x}
execution_time=%{y}',
- 'legendgroup': 'gemini-pro',
- 'marker': {'color': '#ab63fa', 'pattern': {'shape': ''}},
- 'name': 'gemini-pro',
- 'offsetgroup': 'gemini-pro',
- 'orientation': 'v',
- 'showlegend': True,
- 'textposition': 'auto',
- 'type': 'bar',
- 'x': array(['gemini-pro'], dtype=object),
- 'xaxis': 'x',
- 'y': array([nan]),
- 'yaxis': 'y'},
- {'alignmentgroup': 'True',
- 'hovertemplate': 'model=%{x}
execution_time=%{y}',
- 'legendgroup': 'gpt-3.5-turbo',
- 'marker': {'color': '#FFA15A', 'pattern': {'shape': ''}},
- 'name': 'gpt-3.5-turbo',
- 'offsetgroup': 'gpt-3.5-turbo',
- 'orientation': 'v',
- 'showlegend': True,
- 'textposition': 'auto',
- 'type': 'bar',
- 'x': array(['gpt-3.5-turbo'], dtype=object),
- 'xaxis': 'x',
- 'y': array([5.12583753]),
- 'yaxis': 'y'},
- {'alignmentgroup': 'True',
- 'hovertemplate': 'model=%{x}
execution_time=%{y}',
- 'legendgroup': 'llama-2-70b-chat',
- 'marker': {'color': '#19d3f3', 'pattern': {'shape': ''}},
- 'name': 'llama-2-70b-chat',
- 'offsetgroup': 'llama-2-70b-chat',
- 'orientation': 'v',
- 'showlegend': True,
- 'textposition': 'auto',
- 'type': 'bar',
- 'x': array(['llama-2-70b-chat'], dtype=object),
- 'xaxis': 'x',
- 'y': array([5.16784139]),
- 'yaxis': 'y'},
- {'alignmentgroup': 'True',
- 'hovertemplate': 'model=%{x}
execution_time=%{y}',
- 'legendgroup': 'zephyr-7b-beta',
- 'marker': {'color': '#FF6692', 'pattern': {'shape': ''}},
- 'name': 'zephyr-7b-beta',
- 'offsetgroup': 'zephyr-7b-beta',
- 'orientation': 'v',
- 'showlegend': True,
- 'textposition': 'auto',
- 'type': 'bar',
- 'x': array(['zephyr-7b-beta'], dtype=object),
- 'xaxis': 'x',
- 'y': array([2.57517529]),
- 'yaxis': 'y'}],
- 'layout': {'barmode': 'relative',
- 'legend': {'title': {'text': 'model'}, 'tracegroupgap': 0},
- 'margin': {'t': 60},
- 'template': '...',
- 'xaxis': {'anchor': 'y',
- 'categoryarray': [Mistral-7B-Instruct-v0.2,
- Mixtral-8x7B-Instruct-v0.1,
- TinyLlama/TinyLlama-1.1B-Chat-v1.0,
- gemini-pro, gpt-3.5-turbo,
- llama-2-70b-chat, zephyr-7b-beta],
- 'categoryorder': 'array',
- 'domain': [0.0, 1.0],
- 'title': {'text': 'model'}},
- 'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'execution_time'}}}
-})",Model endpoints response times
-./html/plots/model_sizes.html,"Figure({
- 'data': [{'alignmentgroup': 'True',
- 'hovertemplate': 'color=gpt-3.5-turbo
x=%{x}
y=%{y}',
- 'legendgroup': 'gpt-3.5-turbo',
- 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
- 'name': 'gpt-3.5-turbo',
- 'offsetgroup': 'gpt-3.5-turbo',
- 'orientation': 'v',
- 'showlegend': True,
- 'textposition': 'auto',
- 'type': 'bar',
- 'x': array(['gpt-3.5-turbo'], dtype=object),
- 'xaxis': 'x',
- 'y': array([0.]),
- 'yaxis': 'y'},
- {'alignmentgroup': 'True',
- 'hovertemplate': 'color=llama-2-70b-chat
x=%{x}
y=%{y}',
- 'legendgroup': 'llama-2-70b-chat',
- 'marker': {'color': '#EF553B', 'pattern': {'shape': ''}},
- 'name': 'llama-2-70b-chat',
- 'offsetgroup': 'llama-2-70b-chat',
- 'orientation': 'v',
- 'showlegend': True,
- 'textposition': 'auto',
- 'type': 'bar',
- 'x': array(['llama-2-70b-chat'], dtype=object),
- 'xaxis': 'x',
- 'y': array([0.]),
- 'yaxis': 'y'},
- {'alignmentgroup': 'True',
- 'hovertemplate': 'color=Mixtral-8x7B-Instruct-v0.1
x=%{x}
y=%{y}',
- 'legendgroup': 'Mixtral-8x7B-Instruct-v0.1',
- 'marker': {'color': '#00cc96', 'pattern': {'shape': ''}},
- 'name': 'Mixtral-8x7B-Instruct-v0.1',
- 'offsetgroup': 'Mixtral-8x7B-Instruct-v0.1',
- 'orientation': 'v',
- 'showlegend': True,
- 'textposition': 'auto',
- 'type': 'bar',
- 'x': array(['Mixtral-8x7B-Instruct-v0.1'], dtype=object),
- 'xaxis': 'x',
- 'y': array([56.]),
- 'yaxis': 'y'},
- {'alignmentgroup': 'True',
- 'hovertemplate': 'color=zephyr-7b-beta
x=%{x}
y=%{y}',
- 'legendgroup': 'zephyr-7b-beta',
- 'marker': {'color': '#ab63fa', 'pattern': {'shape': ''}},
- 'name': 'zephyr-7b-beta',
- 'offsetgroup': 'zephyr-7b-beta',
- 'orientation': 'v',
- 'showlegend': True,
- 'textposition': 'auto',
- 'type': 'bar',
- 'x': array(['zephyr-7b-beta'], dtype=object),
- 'xaxis': 'x',
- 'y': array([7.]),
- 'yaxis': 'y'},
- {'alignmentgroup': 'True',
- 'hovertemplate': 'color=Mistral-7B-Instruct-v0.2
x=%{x}
y=%{y}',
- 'legendgroup': 'Mistral-7B-Instruct-v0.2',
- 'marker': {'color': '#FFA15A', 'pattern': {'shape': ''}},
- 'name': 'Mistral-7B-Instruct-v0.2',
- 'offsetgroup': 'Mistral-7B-Instruct-v0.2',
- 'orientation': 'v',
- 'showlegend': True,
- 'textposition': 'auto',
- 'type': 'bar',
- 'x': array(['Mistral-7B-Instruct-v0.2'], dtype=object),
- 'xaxis': 'x',
- 'y': array([7.]),
- 'yaxis': 'y'},
- {'alignmentgroup': 'True',
- 'hovertemplate': 'color=TinyLlama/TinyLlama-1.1B-Chat-v1.0
x=%{x}
y=%{y}',
- 'legendgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
- 'marker': {'color': '#19d3f3', 'pattern': {'shape': ''}},
- 'name': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
- 'offsetgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
- 'orientation': 'v',
- 'showlegend': True,
- 'textposition': 'auto',
- 'type': 'bar',
- 'x': array(['TinyLlama/TinyLlama-1.1B-Chat-v1.0'], dtype=object),
- 'xaxis': 'x',
- 'y': array([1.1]),
- 'yaxis': 'y'},
- {'alignmentgroup': 'True',
- 'hovertemplate': 'color=gemini-pro
x=%{x}
y=%{y}',
- 'legendgroup': 'gemini-pro',
- 'marker': {'color': '#FF6692', 'pattern': {'shape': ''}},
- 'name': 'gemini-pro',
- 'offsetgroup': 'gemini-pro',
- 'orientation': 'v',
- 'showlegend': True,
- 'textposition': 'auto',
- 'type': 'bar',
- 'x': array(['gemini-pro'], dtype=object),
- 'xaxis': 'x',
- 'y': array([0.]),
- 'yaxis': 'y'}],
- 'layout': {'barmode': 'relative',
- 'legend': {'title': {'text': 'color'}, 'tracegroupgap': 0},
- 'template': '...',
- 'title': {'text': 'Model sizes in billions of parameters'},
- 'xaxis': {'anchor': 'y', 'domain': [0.0, 1.0], 'title': {'text': 'x'}},
- 'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'y'}}}
-})",Model sizes in billions of parameters
-./html/plots/execution_costs.html,"Figure({
- 'data': [{'alignmentgroup': 'True',
- 'hovertemplate': 'color=gpt-3.5-turbo
x=%{x}
y=%{y}',
- 'legendgroup': 'gpt-3.5-turbo',
- 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
- 'name': 'gpt-3.5-turbo',
- 'offsetgroup': 'gpt-3.5-turbo',
- 'orientation': 'v',
- 'showlegend': True,
- 'textposition': 'auto',
- 'type': 'bar',
- 'x': array(['gpt-3.5-turbo'], dtype=object),
- 'xaxis': 'x',
- 'y': array([0.2]),
- 'yaxis': 'y'},
- {'alignmentgroup': 'True',
- 'hovertemplate': 'color=llama-2-70b-chat
x=%{x}
y=%{y}',
- 'legendgroup': 'llama-2-70b-chat',
- 'marker': {'color': '#EF553B', 'pattern': {'shape': ''}},
- 'name': 'llama-2-70b-chat',
- 'offsetgroup': 'llama-2-70b-chat',
- 'orientation': 'v',
- 'showlegend': True,
- 'textposition': 'auto',
- 'type': 'bar',
- 'x': array(['llama-2-70b-chat'], dtype=object),
- 'xaxis': 'x',
- 'y': array([0.03]),
- 'yaxis': 'y'},
- {'alignmentgroup': 'True',
- 'hovertemplate': 'color=Mixtral-8x7B-Instruct-v0.1
x=%{x}
y=%{y}',
- 'legendgroup': 'Mixtral-8x7B-Instruct-v0.1',
- 'marker': {'color': '#00cc96', 'pattern': {'shape': ''}},
- 'name': 'Mixtral-8x7B-Instruct-v0.1',
- 'offsetgroup': 'Mixtral-8x7B-Instruct-v0.1',
- 'orientation': 'v',
- 'showlegend': True,
- 'textposition': 'auto',
- 'type': 'bar',
- 'x': array(['Mixtral-8x7B-Instruct-v0.1'], dtype=object),
- 'xaxis': 'x',
- 'y': array([0.135]),
- 'yaxis': 'y'},
- {'alignmentgroup': 'True',
- 'hovertemplate': 'color=zephyr-7b-beta
x=%{x}
y=%{y}',
- 'legendgroup': 'zephyr-7b-beta',
- 'marker': {'color': '#ab63fa', 'pattern': {'shape': ''}},
- 'name': 'zephyr-7b-beta',
- 'offsetgroup': 'zephyr-7b-beta',
- 'orientation': 'v',
- 'showlegend': True,
- 'textposition': 'auto',
- 'type': 'bar',
- 'x': array(['zephyr-7b-beta'], dtype=object),
- 'xaxis': 'x',
- 'y': array([55.45703704]),
- 'yaxis': 'y'},
- {'alignmentgroup': 'True',
- 'hovertemplate': 'color=Mistral-7B-Instruct-v0.2
x=%{x}
y=%{y}',
- 'legendgroup': 'Mistral-7B-Instruct-v0.2',
- 'marker': {'color': '#FFA15A', 'pattern': {'shape': ''}},
- 'name': 'Mistral-7B-Instruct-v0.2',
- 'offsetgroup': 'Mistral-7B-Instruct-v0.2',
- 'orientation': 'v',
- 'showlegend': True,
- 'textposition': 'auto',
- 'type': 'bar',
- 'x': array(['Mistral-7B-Instruct-v0.2'], dtype=object),
- 'xaxis': 'x',
- 'y': array([55.45703704]),
- 'yaxis': 'y'},
- {'alignmentgroup': 'True',
- 'hovertemplate': 'color=TinyLlama/TinyLlama-1.1B-Chat-v1.0
x=%{x}
y=%{y}',
- 'legendgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
- 'marker': {'color': '#19d3f3', 'pattern': {'shape': ''}},
- 'name': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
- 'offsetgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
- 'orientation': 'v',
- 'showlegend': True,
- 'textposition': 'auto',
- 'type': 'bar',
- 'x': array(['TinyLlama/TinyLlama-1.1B-Chat-v1.0'], dtype=object),
- 'xaxis': 'x',
- 'y': array([25.59555556]),
- 'yaxis': 'y'},
- {'alignmentgroup': 'True',
- 'hovertemplate': 'color=gemini-pro
x=%{x}
y=%{y}',
- 'legendgroup': 'gemini-pro',
- 'marker': {'color': '#FF6692', 'pattern': {'shape': ''}},
- 'name': 'gemini-pro',
- 'offsetgroup': 'gemini-pro',
- 'orientation': 'v',
- 'showlegend': True,
- 'textposition': 'auto',
- 'type': 'bar',
- 'x': array(['gemini-pro'], dtype=object),
- 'xaxis': 'x',
- 'y': array([0.05]),
- 'yaxis': 'y'}],
- 'layout': {'barmode': 'relative',
- 'legend': {'title': {'text': 'color'}, 'tracegroupgap': 0},
- 'template': '...',
- 'title': {'text': 'Costs of execution of a sample query 1000 times'},
- 'xaxis': {'anchor': 'y', 'domain': [0.0, 1.0], 'title': {'text': 'x'}},
- 'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'y'}}}
-})",Costs of execution of a sample query 1000 times
diff --git a/data/2024-01-22 12:14:03.377435_general_plot.csv b/data/2024-01-22 12:14:03.377435_general_plot.csv
deleted file mode 100644
index a6294657717d810124b0d8d9a2b22ceea6bd6fef..0000000000000000000000000000000000000000
--- a/data/2024-01-22 12:14:03.377435_general_plot.csv
+++ /dev/null
@@ -1,6168 +0,0 @@
-model,language,template_name,column,path,plot_object,description
-gpt-3.5-turbo,english,json,chunk_sizes,./html/plots/english|json_chunk_sizes.html,"Figure({
- 'data': [{'type': 'scatter',
- 'x': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
- 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,
- 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
- 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65,
- 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81,
- 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93],
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- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_index'}},
- 'yaxis': {'title': {'text': 'chunk_sizes'}}}
-})",Plot of chunk_sizes for english|json
-gpt-3.5-turbo,english,json,chunk_sizes,./html/plots/english|json_chunk_sizes_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
- 'x': [2, 1, 7, ..., 1, 1, 1]}],
- 'layout': {'template': '...', 'xaxis': {'title': {'text': 'chunk_sizes'}}, 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_sizes for english|json
-gpt-3.5-turbo,japanese,markdown,chunk_sizes,./html/plots/japanese|markdown_chunk_sizes.html,"Figure({
- 'data': [{'type': 'scatter',
- 'x': [0, 1, 2, ..., 768, 769, 770],
- 'y': [1.3, 2.6, 1.6, ..., 1.0, 1.0, 4.0]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_index'}},
- 'yaxis': {'title': {'text': 'chunk_sizes'}}}
-})",Plot of chunk_sizes for japanese|markdown
-gpt-3.5-turbo,japanese,markdown,chunk_sizes,./html/plots/japanese|markdown_chunk_sizes_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
- 'x': [1, 1, 1, ..., 1, 1, 4]}],
- 'layout': {'template': '...', 'xaxis': {'title': {'text': 'chunk_sizes'}}, 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_sizes for japanese|markdown
-gpt-3.5-turbo,english,markdown,chunk_sizes,./html/plots/english|markdown_chunk_sizes.html,"Figure({
- 'data': [{'type': 'scatter',
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- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_index'}},
- 'yaxis': {'title': {'text': 'chunk_sizes'}}}
-})",Plot of chunk_sizes for english|markdown
-gpt-3.5-turbo,english,markdown,chunk_sizes,./html/plots/english|markdown_chunk_sizes_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
- 'x': [3, 4, 7, ..., 3, 4, 9]}],
- 'layout': {'template': '...', 'xaxis': {'title': {'text': 'chunk_sizes'}}, 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_sizes for english|markdown
-gpt-3.5-turbo,japanese,json,chunk_sizes,./html/plots/japanese|json_chunk_sizes.html,"Figure({
- 'data': [{'type': 'scatter',
- 'x': [0, 1, 2, ..., 341, 342, 343],
- 'y': [1.4, 1.6, 4.0, ..., 1.0, 2.0, 1.0]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_index'}},
- 'yaxis': {'title': {'text': 'chunk_sizes'}}}
-})",Plot of chunk_sizes for japanese|json
-gpt-3.5-turbo,japanese,json,chunk_sizes,./html/plots/japanese|json_chunk_sizes_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
- 'x': [2, 1, 7, ..., 2, 1, 4]}],
- 'layout': {'template': '...', 'xaxis': {'title': {'text': 'chunk_sizes'}}, 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_sizes for japanese|json
-gpt-3.5-turbo,english,json,chunk_generation_times,./html/plots/english|json_chunk_generation_times.html,"Figure({
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- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_index'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times'}}}
-})",Plot of chunk_generation_times for english|json
-gpt-3.5-turbo,english,json,chunk_generation_times,./html/plots/english|json_chunk_generation_times_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
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- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_generation_times'}},
- 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_generation_times for english|json
-gpt-3.5-turbo,japanese,markdown,chunk_generation_times,./html/plots/japanese|markdown_chunk_generation_times.html,"Figure({
- 'data': [{'type': 'scatter',
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- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_index'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times'}}}
-})",Plot of chunk_generation_times for japanese|markdown
-gpt-3.5-turbo,japanese,markdown,chunk_generation_times,./html/plots/japanese|markdown_chunk_generation_times_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
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- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_generation_times'}},
- 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_generation_times for japanese|markdown
-gpt-3.5-turbo,english,markdown,chunk_generation_times,./html/plots/english|markdown_chunk_generation_times.html,"Figure({
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- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_index'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times'}}}
-})",Plot of chunk_generation_times for english|markdown
-gpt-3.5-turbo,english,markdown,chunk_generation_times,./html/plots/english|markdown_chunk_generation_times_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
- 'x': [0.06274151802062988, 0.0009312629699707031,
- 0.0006353855133056641, ..., 0.011092424392700195,
- 0.011125326156616211, 0.014921903610229492]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_generation_times'}},
- 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_generation_times for english|markdown
-gpt-3.5-turbo,japanese,json,chunk_generation_times,./html/plots/japanese|json_chunk_generation_times.html,"Figure({
- 'data': [{'type': 'scatter',
- 'x': [0, 1, 2, ..., 341, 342, 343],
- 'y': [0.03325941562652588, 0.022845458984375, 0.008539342880249023,
- ..., 0.01340627670288086, 0.0009033679962158203,
- 0.0009148120880126953]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_index'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times'}}}
-})",Plot of chunk_generation_times for japanese|json
-gpt-3.5-turbo,japanese,json,chunk_generation_times,./html/plots/japanese|json_chunk_generation_times_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
- 'x': [0.055197715759277344, 0.0009396076202392578,
- 0.0006830692291259766, ..., 0.09629225730895996,
- 0.0002498626708984375, 0.02581787109375]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_generation_times'}},
- 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_generation_times for japanese|json
-gpt-3.5-turbo,english,json,chunk_generation_times_by_chunk_sizes,./html/plots/english|json_chunk_generation_times_by_chunk_sizes.html,"Figure({
- 'data': [{'type': 'scatter',
- 'x': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
- 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,
- 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
- 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65,
- 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81,
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- 7.01056800013593e-05, 6.539925829258799e-05,
- 9.312883553243395e-05, 6.794533329217034e-05,
- 8.297807489765248e-05, 9.471462087460092e-05,
- 6.133946290140733e-05, 7.026849327649994e-05,
- 5.961504138096624e-05, 6.563258693968294e-05,
- 6.383154896123252e-05, 9.528001542696267e-05,
- 6.246172585711863e-05, 6.181504461999184e-05,
- 7.949675912702044e-05, 6.619173043054431e-05,
- 6.797917138507241e-05, 7.434168847616238e-05,
- 7.122499242952558e-05, 5.27404402561244e-05]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_index'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times_by_chunk_sizes'}}}
-})",Plot of chunk_generation_times_by_chunk_sizes for english|json
-gpt-3.5-turbo,english,json,chunk_generation_times_by_chunk_sizes,./html/plots/english|json_chunk_generation_times_by_chunk_sizes_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
- 'x': [0.03265190124511719, 0.0003636678059895833,
- 9.443759918212891e-05, ..., 5.2354116549437074e-05,
- 3.553529865079076e-05, 4.5464379446847095e-05]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_generation_times_by_chunk_sizes'}},
- 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_generation_times_by_chunk_sizes for english|json
-gpt-3.5-turbo,japanese,markdown,chunk_generation_times_by_chunk_sizes,./html/plots/japanese|markdown_chunk_generation_times_by_chunk_sizes.html,"Figure({
- 'data': [{'type': 'scatter',
- 'x': [0, 1, 2, ..., 768, 769, 770],
- 'y': [0.10252033472061158, 0.005723926850727626,
- 0.00015428165594736734, ..., 3.4893702979039664e-05,
- 4.463809134830893e-05, 5.821362044311677e-07]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_index'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times_by_chunk_sizes'}}}
-})",Plot of chunk_generation_times_by_chunk_sizes for japanese|markdown
-gpt-3.5-turbo,japanese,markdown,chunk_generation_times_by_chunk_sizes,./html/plots/japanese|markdown_chunk_generation_times_by_chunk_sizes_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
- 'x': [0.09664440155029297, 0.00046384334564208984,
- 0.00023070971171061197, ..., 3.4893702979039664e-05,
- 4.463809134830893e-05, 5.821362044311677e-07]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_generation_times_by_chunk_sizes'}},
- 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_generation_times_by_chunk_sizes for japanese|markdown
-gpt-3.5-turbo,english,markdown,chunk_generation_times_by_chunk_sizes,./html/plots/english|markdown_chunk_generation_times_by_chunk_sizes.html,"Figure({
- 'data': [{'type': 'scatter',
- 'x': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
- 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,
- 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
- 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65,
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- 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134,
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- 6.16378090714557e-05, 5.856617861823866e-05,
- 5.3039432746347645e-05, 6.564544623331413e-05,
- 6.453609817836689e-05, 6.968950336014621e-05,
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- 5.342419830483167e-07, 6.827357765677925e-05,
- 6.551327912703805e-07, 6.061524255877961e-07,
- 6.440982196997616e-07, 5.630909786289463e-07,
- 6.669153601436292e-05, 1.6865610074596244e-06,
- 5.278135099744242e-07, 6.496060406020766e-05,
- 7.477584348675447e-05, 5.944804800750783e-07,
- 5.416120913141878e-07, 5.166379906949579e-07,
- 5.6736385479521825e-05, 6.084222293241225e-05,
- 4.990243761321347e-07, 4.276960247362669e-07,
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- 5.9307348437425566e-05, 6.209846698876584e-05,
- 8.543034543519255e-07, 7.860748856155961e-07,
- 5.405012206359057e-05, 5.855703214455766e-05,
- 6.251596186282861e-05, 7.391321987822025e-07]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_index'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times_by_chunk_sizes'}}}
-})",Plot of chunk_generation_times_by_chunk_sizes for english|markdown
-gpt-3.5-turbo,english,markdown,chunk_generation_times_by_chunk_sizes,./html/plots/english|markdown_chunk_generation_times_by_chunk_sizes_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
- 'x': [0.02091383934020996, 0.00013303756713867188,
- 4.538467952183315e-05, ..., 3.7348230278451834e-05,
- 3.696121646716349e-05, 4.813517293622417e-05]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_generation_times_by_chunk_sizes'}},
- 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_generation_times_by_chunk_sizes for english|markdown
-gpt-3.5-turbo,japanese,json,chunk_generation_times_by_chunk_sizes,./html/plots/japanese|json_chunk_generation_times_by_chunk_sizes.html,"Figure({
- 'data': [{'type': 'scatter',
- 'x': [0, 1, 2, ..., 341, 342, 343],
- 'y': [0.024574017524719237, 0.007615152994791666,
- 0.0016790103912353517, ..., 3.455225954350737e-05,
- 2.31632819542518e-06, 2.339672859367507e-06]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_index'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times_by_chunk_sizes'}}}
-})",Plot of chunk_generation_times_by_chunk_sizes for japanese|json
-gpt-3.5-turbo,japanese,json,chunk_generation_times_by_chunk_sizes,./html/plots/japanese|json_chunk_generation_times_by_chunk_sizes_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
- 'x': [0.027598857879638672, 0.0003132025400797526,
- 6.830692291259766e-05, ..., 0.00011829515639921371,
- 3.0657996429256133e-07, 3.152365212912088e-05]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_generation_times_by_chunk_sizes'}},
- 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_generation_times_by_chunk_sizes for japanese|json
-gpt-3.5-turbo,english,json,"chunk_sizes, chunk_generation_times",./html/plots/english|json_scatter.html,"Figure({
- 'data': [{'mode': 'markers',
- 'name': 'Sample 4',
- 'type': 'scatter',
- 'x': [2, 1, 7, 2, 2, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 3, 6, 4, 8, 9,
- 5, 10, 8, 6, 9, 10, 1, 7, 5, 1, 3, 3, 3, 1, 2, 3, 4, 6, 3, 3,
- 4, 4, 6, 1, 6, 5, 6, 8, 1, 8, 11, 3, 7, 4, 6, 3, 1],
- 'y': [0.06530380249023438, 0.00109100341796875,
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- 0.001065969467163086, 0.05280804634094238,
- 0.001394033432006836, 0.0009264945983886719,
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- 0.08706474304199219, 0.0008018016815185547,
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- 0.001010894775390625, 0.000728607177734375,
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- 0.05688977241516113, 0.0012898445129394531,
- 0.001096963882446289, 0.016451358795166016,
- 0.0012264251708984375, 0.0010192394256591797]},
- {'mode': 'markers',
- 'name': 'Sample 5',
- 'type': 'scatter',
- 'x': [2, 1, 7, 2, 2, 3, 5, 10, 4, 9, 2, 4, 7, 7, 7, 1, 6, 5, 8, 7,
- 3, 4, 9, 7, 7, 7, 5, 5, 1, 5, 7, 3, 1, 2, 1, 1, 1, 5, 1, 7, 1,
- 1, 1, 3, 7, 1, 4, 4, 4, 11, 3, 9, 12, 4, 1, 1, 1, 3, 6, 3, 1],
- 'y': [0.05827736854553223, 0.001672983169555664,
- 0.0011780261993408203, 0.06685996055603027,
- 0.0014088153839111328, 0.0011448860168457031,
- 0.06088089942932129, 0.0013549327850341797,
- 0.001104593276977539, 0.06842279434204102,
- 0.001180410385131836, 0.0012087821960449219,
- 0.05153369903564453, 0.001417398452758789,
- 0.0009801387786865234, 0.0599210262298584,
- 0.0018734931945800781, 0.0012083053588867188,
- 0.05765342712402344, 0.000926971435546875,
- 0.0008299350738525391, 0.06158757209777832,
- 0.0007574558258056641, 0.0005726814270019531,
- 0.057509660720825195, 0.0008001327514648438,
- 0.0004994869232177734, 0.06733345985412598,
- 0.0010828971862792969, 0.000865936279296875,
- 0.05955171585083008, 0.0012373924255371094,
- 0.0009446144104003906, 0.060976266860961914,
- 0.0011475086212158203, 0.0009129047393798828,
- 0.056299448013305664, 0.0013561248779296875,
- 0.0009326934814453125, 0.07009339332580566,
- 0.00115203857421875, 0.0009126663208007812,
- 0.05398678779602051, 0.001055002212524414,
- 0.0008478164672851562, 0.061942100524902344,
- 0.0010499954223632812, 0.0008378028869628906,
- 0.03917884826660156, 0.0013442039489746094,
- 0.0008962154388427734, 0.05585908889770508,
- 0.001119852066040039, 0.0653376579284668,
- 0.0011224746704101562, 0.0009381771087646484,
- 0.055399179458618164, 0.0007662773132324219,
- 0.0006082057952880859, 0.000736236572265625,
- 0.0005512237548828125]},
- {'mode': 'markers',
- 'name': 'Sample 4',
- 'type': 'scatter',
- 'x': [1, 1, 1, 2, 7, 2, 2, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 10, 6,
- 4, 8, 1, 9, 3, 1, 1, 1, 1, 1, 3, 2, 2, 3, 10, 8, 4, 8, 6, 1, 1,
- 1, 1, 1, 3, 3, 9, 1, 7, 6, 5, 2, 3, 1, 3, 3, 3, 1, 1, 1, 2, 2,
- 4, 9, 3, 6, 1, 4, 6, 1, 4, 6, 4, 3, 4, 2, 6, 3, 7, 4, 6, 1, 6,
- 4, 3, 3, 3, 5, 3, 4, 5, 9, 2],
- 'y': [0.2942681312561035, 0.03320145606994629, 0.032726287841796875,
- 0.03322887420654297, 0.03336977958679199, 0.033197641372680664,
- 0.032707929611206055, 0.03280067443847656, 0.03337597846984863,
- 0.03223991394042969, 0.03278517723083496, 0.0324862003326416,
- 0.03303956985473633, 0.032663583755493164, 0.03307008743286133,
- 0.03264498710632324, 0.03332328796386719, 0.03313755989074707,
- 0.0328679084777832, 0.03280234336853027, 0.03283858299255371,
- 0.03282523155212402, 0.03298592567443848, 0.03300333023071289,
- 0.03267788887023926, 0.03299117088317871, 0.03277873992919922,
- 0.035089731216430664, 0.033418893814086914,
- 0.03105640411376953, 0.033223628997802734, 0.03347158432006836,
- 0.033068180084228516, 0.03343820571899414, 0.03316760063171387,
- 0.03279757499694824, 0.03280472755432129, 0.032800912857055664,
- 0.03274941444396973, 0.03284478187561035, 0.032784461975097656,
- 0.03307366371154785, 0.032968997955322266,
- 0.032784223556518555, 0.03262805938720703, 0.03314328193664551,
- 0.03263068199157715, 0.03357434272766113, 0.03299379348754883,
- 0.03271913528442383, 0.03302359580993652, 0.032350778579711914,
- 0.03279829025268555, 0.032952308654785156,
- 0.033011674880981445, 0.03256034851074219, 0.0325469970703125,
- 0.0331571102142334, 0.03356218338012695, 0.03319382667541504,
- 0.03300046920776367, 0.03289222717285156, 0.032806396484375,
- 0.03296637535095215, 0.03306436538696289, 0.03331255912780762,
- 0.03282761573791504, 0.03297853469848633, 0.032933950424194336,
- 0.03287482261657715, 0.033034563064575195, 0.03267335891723633,
- 0.033046722412109375, 0.03302955627441406,
- 0.032752037048339844, 0.03271603584289551, 0.0329127311706543,
- 0.03333616256713867, 0.03296375274658203, 0.0332331657409668,
- 0.032714128494262695, 0.03284811973571777, 0.03283882141113281,
- 0.03286933898925781, 0.03277158737182617, 0.03294873237609863,
- 0.03281807899475098, 0.03280973434448242, 0.03279256820678711,
- 0.03337907791137695, 0.032883405685424805, 0.03297567367553711,
- 0.03550148010253906]},
- {'mode': 'markers',
- 'name': 'Sample 5',
- 'type': 'scatter',
- 'x': [1, 1, 1, 2, 7, 2, 2, 2, 1, 3, 2, 10, 9, 6, 7, 7, 7, 1, 10, 1,
- 1, 1, 1, 1, 7, 5, 4, 6, 3, 1, 1, 1, 1, 1, 1, 4, 3, 1, 5, 4, 5,
- 3, 3, 4, 3, 2, 7, 5, 1, 3, 3, 3, 1, 5, 7, 9, 3, 3, 5, 4, 1, 4,
- 7, 5, 6, 2, 7, 3, 4, 9, 7, 7, 7, 5, 5, 4, 2, 3, 1, 5, 4, 10, 3,
- 9, 7, 6, 4, 1, 1, 1, 1, 1, 1],
- 'y': [0.2841794490814209, 0.03318047523498535, 0.03252410888671875,
- 0.032773494720458984, 0.032950401306152344,
- 0.03237509727478027, 0.032845497131347656,
- 0.033661842346191406, 0.031883955001831055,
- 0.03284049034118652, 0.03288865089416504, 0.032657623291015625,
- 0.03294634819030762, 0.03262066841125488, 0.03363680839538574,
- 0.03292512893676758, 0.034000396728515625, 0.03158164024353027,
- 0.033063650131225586, 0.03302121162414551, 0.03246045112609863,
- 0.0331113338470459, 0.03267025947570801, 0.03298616409301758,
- 0.03292226791381836, 0.03269791603088379, 0.033277273178100586,
- 0.0330510139465332, 0.03381705284118652, 0.03185129165649414,
- 0.033119916915893555, 0.032876014709472656,
- 0.032798051834106445, 0.03272366523742676, 0.03300166130065918,
- 0.032763004302978516, 0.03278970718383789, 0.03354358673095703,
- 0.03227996826171875, 0.03261685371398926, 0.03284430503845215,
- 0.033138275146484375, 0.03265976905822754, 0.03275609016418457,
- 0.03300833702087402, 0.03419041633605957, 0.03184938430786133,
- 0.03274989128112793, 0.03289365768432617, 0.03278684616088867,
- 0.03276491165161133, 0.032720327377319336, 0.03290891647338867,
- 0.03302788734436035, 0.03277993202209473, 0.03285622596740723,
- 0.03306317329406738, 0.0330815315246582, 0.03304910659790039,
- 0.03283500671386719, 0.032708168029785156, 0.03329038619995117,
- 0.03413248062133789, 0.03178691864013672, 0.03290677070617676,
- 0.03295421600341797, 0.0327911376953125, 0.03278040885925293,
- 0.03307366371154785, 0.03285861015319824, 0.03297877311706543,
- 0.03274822235107422, 0.032964468002319336, 0.03297281265258789,
- 0.03268289566040039, 0.03406810760498047, 0.03209805488586426,
- 0.03290605545043945, 0.03278756141662598, 0.03313755989074707,
- 0.03275132179260254, 0.033141136169433594, 0.0327305793762207,
- 0.03309345245361328, 0.032764434814453125,
- 0.032620906829833984, 0.033154964447021484,
- 0.03334164619445801, 0.03311276435852051, 0.033093929290771484,
- 0.03340005874633789, 0.03298211097717285, 0.03441739082336426]},
- {'mode': 'markers',
- 'name': 'Sample 4',
- 'type': 'scatter',
- 'x': [1, 1, 1, 7, 2, 2, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 10, 6, 4,
- 8, 5, 1, 1, 1, 1, 1, 1, 2, 2, 3, 10, 3, 1, 1, 1, 1, 1, 1, 3, 9,
- 1, 4, 2, 6, 3, 7, 4, 6, 4, 9, 1, 5, 2, 3, 1, 9, 3, 3, 1, 1, 1,
- 1, 2, 3, 6, 1, 4, 6, 1, 4, 6, 1, 3, 3, 3, 5, 3, 2, 1, 1],
- 'y': [0.06033468246459961, 0.03255033493041992,
- 0.033391714096069336, 0.033294677734375, 0.03280353546142578,
- 0.03269243240356445, 0.03304123878479004, 0.03277873992919922,
- 0.032857418060302734, 0.032500267028808594,
- 0.03279447555541992, 0.03275132179260254, 0.032694339752197266,
- 0.032811641693115234, 0.032721757888793945,
- 0.03275036811828613, 0.03292441368103027, 0.032743215560913086,
- 0.03286314010620117, 0.03270697593688965, 0.032823801040649414,
- 0.0327761173248291, 0.03299379348754883, 0.03295016288757324,
- 0.03263521194458008, 0.0327143669128418, 0.03285670280456543,
- 0.032790184020996094, 0.0326390266418457, 0.03270745277404785,
- 0.03298830986022949, 0.03281426429748535, 0.03308987617492676,
- 0.03245854377746582, 0.032984018325805664,
- 0.032605648040771484, 0.033228158950805664,
- 0.03330349922180176, 0.033002376556396484, 0.03281879425048828,
- 0.03330540657043457, 0.032460689544677734, 0.03269529342651367,
- 0.03646278381347656, 0.033067941665649414,
- 0.029282808303833008, 0.03278827667236328, 0.03331494331359863,
- 0.03303718566894531, 0.03289794921875, 0.03265857696533203,
- 0.0331120491027832, 0.03316450119018555, 0.032842159271240234,
- 0.032830238342285156, 0.032860517501831055,
- 0.03291964530944824, 0.033174753189086914,
- 0.033357858657836914, 0.033212900161743164,
- 0.03300285339355469, 0.03316664695739746, 0.03301429748535156,
- 0.03291773796081543, 0.032790422439575195, 0.03273344039916992,
- 0.03299069404602051, 0.03344869613647461, 0.03330826759338379,
- 0.03283953666687012, 0.032941579818725586, 0.0330507755279541,
- 0.0325772762298584, 0.03269147872924805, 0.032750844955444336,
- 0.03283333778381348, 0.032738447189331055,
- 0.033026933670043945, 0.03251242637634277, 0.03325223922729492,
- 0.032497406005859375]},
- {'mode': 'markers',
- 'name': 'Sample 5',
- 'type': 'scatter',
- 'x': [1, 1, 1, 7, 2, 2, 2, 1, 3, 2, 10, 9, 2, 1, 1, 1, 1, 1, 1, 5,
- 1, 1, 1, 1, 1, 1, 1, 4, 2, 7, 7, 7, 3, 3, 3, 1, 5, 7, 9, 3, 3,
- 5, 4, 4, 7, 3, 4, 9, 7, 7, 7, 5, 5, 4, 2, 3, 1, 4, 7, 1, 5, 4,
- 5, 3, 3, 4, 3, 2, 7, 5, 1, 4, 4, 9, 3, 9, 6, 4, 14, 1, 1, 1, 1,
- 1, 1, 6, 2, 1, 1],
- 'y': [0.05948185920715332, 0.03695845603942871,
- 0.031099557876586914, 0.03120255470275879, 0.03287482261657715,
- 0.03280186653137207, 0.03328275680541992, 0.03304576873779297,
- 0.03307843208312988, 0.032563209533691406, 0.03278160095214844,
- 0.03271961212158203, 0.03270268440246582, 0.033188581466674805,
- 0.032707929611206055, 0.03281736373901367, 0.03281068801879883,
- 0.0328516960144043, 0.03278326988220215, 0.03271198272705078,
- 0.032724857330322266, 0.03273510932922363, 0.0328059196472168,
- 0.032903194427490234, 0.03341031074523926,
- 0.031944990158081055, 0.03381824493408203,
- 0.032653093338012695, 0.03337264060974121, 0.03264260292053223,
- 0.03273296356201172, 0.0322415828704834, 0.032692670822143555,
- 0.03282880783081055, 0.03279852867126465, 0.03264617919921875,
- 0.032649993896484375, 0.033190011978149414,
- 0.03315401077270508, 0.03268313407897949, 0.033409833908081055,
- 0.03222084045410156, 0.03352808952331543, 0.033272504806518555,
- 0.03400707244873047, 0.035341739654541016, 0.03473043441772461,
- 0.028969526290893555, 0.032972097396850586,
- 0.032877445220947266, 0.03284955024719238, 0.03296399116516113,
- 0.032759666442871094, 0.03328394889831543, 0.03304934501647949,
- 0.03315997123718262, 0.03285479545593262, 0.03286433219909668,
- 0.033128976821899414, 0.03247261047363281,
- 0.032787322998046875, 0.03343009948730469, 0.03373527526855469,
- 0.03331756591796875, 0.03303098678588867, 0.032538414001464844,
- 0.03347206115722656, 0.03288912773132324, 0.03327775001525879,
- 0.03294539451599121, 0.03243112564086914, 0.03465151786804199,
- 0.03194880485534668, 0.03228306770324707, 0.032750606536865234,
- 0.03286385536193848, 0.03277707099914551, 0.03328990936279297,
- 0.03328752517700195, 0.03357958793640137, 0.03311896324157715,
- 0.03277444839477539, 0.03243660926818848, 0.03304314613342285,
- 0.033922433853149414, 0.03299450874328613,
- 0.032975196838378906, 0.0327916145324707, 0.03257894515991211]},
- {'mode': 'markers',
- 'name': 'Sample 4',
- 'type': 'scatter',
- 'x': [1, 2, 2, 7, 3, 3, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 9, 6, 4, 8,
- 1, 9, 5, 1, 1, 1, 1, 1, 1, 2, 2, 3, 4, 3, 3, 8, 1, 5, 2, 3, 1,
- 3, 1, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 4, 6, 5, 3, 9, 1, 12, 4, 4,
- 3, 7, 4, 6, 6, 1, 1, 1, 1, 1, 1, 3, 3, 3, 3, 3, 2, 1, 4],
- 'y': [0.044580698013305664, 0.04812312126159668,
- 0.05114483833312988, 0.004778861999511719,
- 0.011965513229370117, 0.0025997161865234375,
- 0.01915884017944336, 0.0024368762969970703,
- 0.042346954345703125, 0.0011417865753173828,
- 0.00045943260192871094, 0.0003840923309326172,
- 0.0005993843078613281, 0.039794206619262695, 0.00042724609375,
- 0.0004787445068359375, 0.0004673004150390625,
- 0.0004177093505859375, 0.04233098030090332,
- 0.0009753704071044922, 0.0005500316619873047,
- 0.00034928321838378906, 0.0003056526184082031,
- 0.03934979438781738, 0.0003712177276611328,
- 0.0003046989440917969, 0.00023555755615234375,
- 0.00023245811462402344, 0.044139862060546875,
- 0.0006554126739501953, 0.0006070137023925781,
- 0.0004811286926269531, 0.00043964385986328125,
- 0.040007591247558594, 0.0007572174072265625,
- 0.0007014274597167969, 0.0005462169647216797,
- 0.000484466552734375, 0.042290687561035156,
- 0.0006864070892333984, 0.0005562305450439453,
- 0.0004591941833496094, 0.0004565715789794922,
- 0.04335331916809082, 0.0024950504302978516,
- 0.002475738525390625, 0.002390623092651367,
- 0.002371549606323242, 0.03076958656311035,
- 0.0024678707122802734, 0.006899356842041016,
- 0.006480693817138672, 0.006663799285888672,
- 0.013115406036376953, 0.0006022453308105469,
- 0.0005123615264892578, 0.00042247772216796875,
- 0.03937053680419922, 0.0007052421569824219, 0.0354914665222168,
- 0.04008746147155762, 0.037667036056518555, 0.03889751434326172,
- 0.0007460117340087891, 0.0006895065307617188,
- 0.00049591064453125, 0.0004482269287109375,
- 0.03560233116149902, 0.039055585861206055,
- 0.000621795654296875, 0.0005781650543212891,
- 0.0005023479461669922, 0.0004353523254394531,
- 0.03608846664428711, 0.0006020069122314453,
- 0.0008251667022705078, 0.0004341602325439453,
- 0.000392913818359375, 0.035665273666381836,
- 0.06166577339172363, 0.0007131099700927734,
- 0.0005435943603515625]},
- {'mode': 'markers',
- 'name': 'Sample 5',
- 'type': 'scatter',
- 'x': [1, 2, 2, 7, 3, 3, 2, 4, 2, 10, 4, 3, 2, 4, 2, 7, 7, 7, 3, 3,
- 3, 1, 5, 1, 9, 1, 6, 3, 4, 3, 3, 4, 9, 7, 7, 7, 5, 5, 4, 3, 2,
- 1, 4, 7, 7, 1, 1, 1, 1, 1, 1, 5, 1, 3, 3, 1, 1, 1, 1, 1, 1, 1,
- 2, 5, 1, 4, 4, 4, 5, 3, 3, 4, 8, 3, 11, 6, 4, 1, 1, 1, 1, 1, 1,
- 6, 3, 2, 1, 4],
- 'y': [0.04411935806274414, 0.042498111724853516,
- 0.042360544204711914, 0.0006504058837890625,
- 0.00054168701171875, 0.0005021095275878906,
- 0.043607234954833984, 0.0005960464477539062,
- 0.0005099773406982422, 0.0004298686981201172,
- 0.00035309791564941406, 0.04211235046386719,
- 0.0007839202880859375, 0.0006015300750732422,
- 0.0005962848663330078, 0.041135549545288086,
- 0.04714035987854004, 0.00025725364685058594,
- 0.00024580955505371094, 0.04346513748168945,
- 0.04325985908508301, 0.0004603862762451172,
- 0.0003962516784667969, 0.00038743019104003906,
- 0.0004324913024902344, 0.04158592224121094,
- 0.04243946075439453, 0.00032639503479003906,
- 0.0003154277801513672, 0.04255366325378418,
- 0.0004961490631103516, 0.04220747947692871,
- 0.0005002021789550781, 0.0004379749298095703,
- 0.00030112266540527344, 0.00028443336486816406,
- 0.041449546813964844, 0.0005028247833251953,
- 0.0006859302520751953, 0.0003132820129394531,
- 0.0003445148468017578, 0.041501760482788086,
- 0.0005369186401367188, 0.043322086334228516,
- 0.0005812644958496094, 0.0006499290466308594,
- 0.0005171298980712891, 0.00040435791015625,
- 0.03967165946960449, 0.0003871917724609375,
- 0.000339508056640625, 0.00031685829162597656,
- 0.043299198150634766, 0.0003142356872558594,
- 0.0004494190216064453, 0.0003173351287841797,
- 0.0002586841583251953, 0.04445457458496094,
- 0.00026702880859375, 0.0002384185791015625,
- 0.00021266937255859375, 0.00023436546325683594,
- 0.03985857963562012, 0.0005190372467041016,
- 0.0004825592041015625, 0.044085025787353516, 0.00042724609375,
- 0.00035762786865234375, 0.0003459453582763672,
- 0.0004661083221435547, 0.03966093063354492,
- 0.0004951953887939453, 0.0004363059997558594,
- 0.04251503944396973, 0.0006127357482910156,
- 0.0007796287536621094, 0.048806190490722656,
- 0.0004069805145263672, 0.00030684471130371094,
- 0.0002675056457519531, 0.0002605915069580078,
- 0.03645610809326172, 0.00045871734619140625,
- 0.0004115104675292969, 0.0003986358642578125,
- 0.04756641387939453, 0.0004849433898925781,
- 0.0004837512969970703]},
- {'mode': 'markers',
- 'name': 'Sample 4',
- 'type': 'scatter',
- 'x': [2, 1, 7, 2, 2, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 3, 6, 4, 8, 9,
- 5, 1, 2, 1, 2, 4, 3, 10, 8, 6, 1, 2, 1, 2, 3, 9, 1, 5, 1, 3, 1,
- 2, 3, 2, 2, 2, 1, 1, 4, 9, 1, 5, 9, 7, 3, 3, 3, 1, 2, 3, 3, 3,
- 4, 4, 6, 1, 12, 3, 6, 4, 3, 3, 3, 8, 1, 7, 4, 6, 4, 3, 10, 3,
- 1],
- 'y': [0.04870343208312988, 0.0008754730224609375,
- 0.0006856918334960938, 0.05052924156188965,
- 0.0007612705230712891, 0.0007138252258300781,
- 0.05945396423339844, 0.0007116794586181641,
- 0.0006721019744873047, 0.03676009178161621,
- 0.0006625652313232422, 0.00060272216796875,
- 0.041220903396606445, 0.0007605552673339844,
- 0.09726071357727051, 0.0006399154663085938,
- 0.0005872249603271484, 0.010589838027954102,
- 0.0005767345428466797, 0.0005838871002197266,
- 0.04316306114196777, 0.0007243156433105469,
- 0.0007395744323730469, 0.049043893814086914,
- 0.0007297992706298828, 0.0009777545928955078,
- 0.05614209175109863, 0.0035529136657714844,
- 0.0007302761077880859, 0.03273773193359375,
- 0.0005092620849609375, 0.0004992485046386719,
- 0.04534482955932617, 0.0006175041198730469, 0.0005035400390625,
- 0.056000471115112305, 0.0006108283996582031,
- 0.0006892681121826172, 0.05494189262390137,
- 0.0006136894226074219, 0.0005955696105957031,
- 0.047585487365722656, 0.0006284713745117188,
- 0.0006136894226074219, 0.05201530456542969,
- 0.0007119178771972656, 0.0006422996520996094,
- 0.049916744232177734, 0.0007357597351074219,
- 0.0007643699645996094, 0.032527923583984375,
- 0.0005996227264404297, 0.0005996227264404297,
- 0.04884958267211914, 0.0007956027984619141,
- 0.047966718673706055, 0.0006067752838134766,
- 0.0005893707275390625, 0.050232887268066406,
- 0.0006134510040283203, 0.0005927085876464844, 0.0411376953125,
- 0.0005886554718017578, 0.0005781650543212891,
- 0.04338359832763672, 0.0007481575012207031,
- 0.0007712841033935547, 0.055136680603027344,
- 0.0027420520782470703, 0.0027091503143310547,
- 0.032217979431152344, 0.004677534103393555,
- 0.004688739776611328, 0.05284762382507324,
- 0.0007617473602294922, 0.0007486343383789062,
- 0.02643418312072754, 0.0007987022399902344,
- 0.0007715225219726562, 0.04969930648803711,
- 0.0008134841918945312, 0.0008161067962646484,
- 0.0007889270782470703, 0.0007808208465576172]},
- {'mode': 'markers',
- 'name': 'Sample 5',
- 'type': 'scatter',
- 'x': [2, 1, 7, 2, 2, 3, 5, 10, 4, 9, 2, 7, 7, 7, 3, 3, 3, 1, 5, 1,
- 6, 5, 3, 7, 3, 4, 9, 7, 7, 7, 4, 2, 3, 1, 4, 7, 3, 1, 2, 1, 1,
- 1, 5, 1, 7, 1, 1, 1, 3, 7, 1, 4, 4, 4, 9, 3, 9, 6, 4, 1, 1, 1,
- 3, 6, 3, 1],
- 'y': [0.015603780746459961, 0.0005910396575927734,
- 0.0005669593811035156, 0.05751180648803711,
- 0.0006768703460693359, 0.0006248950958251953,
- 0.17932343482971191, 0.0006248950958251953,
- 0.0006041526794433594, 0.036344051361083984,
- 0.0007562637329101562, 0.0007996559143066406,
- 0.0007388591766357422, 0.000698089599609375,
- 0.0032875537872314453, 0.0007140636444091797,
- 0.0006976127624511719, 0.0006957054138183594,
- 0.0006902217864990234, 0.04928946495056152,
- 0.0006926059722900391, 0.0007088184356689453,
- 0.04145336151123047, 0.0008268356323242188,
- 0.0007395744323730469, 0.04828476905822754,
- 0.0007398128509521484, 0.0007483959197998047,
- 0.05336332321166992, 0.001009225845336914,
- 0.0009894371032714844, 0.05631303787231445,
- 0.0009996891021728516, 0.0009918212890625, 0.0393061637878418,
- 0.0012066364288330078, 0.0009784698486328125,
- 0.05166935920715332, 0.0010085105895996094,
- 0.0009777545928955078, 0.04931902885437012,
- 0.0010004043579101562, 0.0009801387786865234,
- 0.050997257232666016, 0.0009813308715820312,
- 0.0009334087371826172, 0.04729890823364258,
- 0.0010924339294433594, 0.0009469985961914062,
- 0.04869866371154785, 0.0009634494781494141,
- 0.0009560585021972656, 0.050952911376953125,
- 0.001001596450805664, 0.0009922981262207031,
- 0.04859519004821777, 0.0009877681732177734,
- 0.0009810924530029297, 0.04834723472595215,
- 0.0010945796966552734, 0.0009770393371582031,
- 0.048398733139038086, 0.0009751319885253906,
- 0.0009753704071044922, 0.0010814666748046875,
- 0.0009486675262451172]},
- {'mode': 'markers',
- 'name': 'Sample 4',
- 'type': 'scatter',
- 'x': [1, 2, 2, 7, 3, 3, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 9, 6, 4, 8,
- 1, 9, 5, 1, 1, 1, 1, 1, 1, 2, 2, 3, 4, 3, 3, 8, 1, 5, 2, 3, 1,
- 3, 1, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 4, 6, 5, 3, 9, 1, 12, 4, 4,
- 3, 7, 4, 6, 6, 1, 1, 1, 1, 1, 1, 3, 3, 3, 3, 3, 2, 1, 4],
- 'y': [0.040894508361816406, 0.17456650733947754,
- 0.047301530838012695, 0.0003261566162109375,
- 0.00032210350036621094, 0.0003070831298828125,
- 0.04634594917297363, 0.00029587745666503906,
- 0.04378390312194824, 0.0003039836883544922,
- 0.0002963542938232422, 0.0002579689025878906,
- 0.000255584716796875, 0.03963279724121094,
- 0.00030922889709472656, 0.0003070831298828125,
- 0.00029206275939941406, 0.0002868175506591797,
- 0.03844881057739258, 0.00032782554626464844,
- 0.0003237724304199219, 0.0003101825714111328,
- 0.0003046989440917969, 0.0403895378112793,
- 0.0004048347473144531, 0.000385284423828125,
- 0.0003724098205566406, 0.00037741661071777344,
- 0.04168558120727539, 0.0003974437713623047,
- 0.0003883838653564453, 0.0003688335418701172,
- 0.001092672348022461, 0.03908658027648926,
- 0.0004780292510986328, 0.00041174888610839844,
- 0.0003924369812011719, 0.00036978721618652344,
- 0.036594390869140625, 0.00039696693420410156,
- 0.00038504600524902344, 0.0005986690521240234,
- 0.00037932395935058594, 0.03723287582397461,
- 0.0003979206085205078, 0.0003876686096191406,
- 0.00036978721618652344, 0.0004088878631591797,
- 0.040205955505371094, 0.0004036426544189453,
- 0.0003998279571533203, 0.0003871917724609375,
- 0.0003490447998046875, 0.03879904747009277,
- 0.00038552284240722656, 0.000377655029296875,
- 0.0003769397735595703, 0.034783124923706055,
- 0.00041174888610839844, 0.03948378562927246,
- 0.04220890998840332, 0.03983759880065918, 0.03954482078552246,
- 0.00039076805114746094, 0.0003876686096191406,
- 0.0003757476806640625, 0.00035834312438964844,
- 0.03757929801940918, 0.04147195816040039,
- 0.0004000663757324219, 0.00039768218994140625,
- 0.0003752708435058594, 0.00044465065002441406,
- 0.04171347618103027, 0.00040340423583984375,
- 0.0003955364227294922, 0.0003895759582519531,
- 0.00038242340087890625, 0.03504776954650879,
- 0.04073190689086914, 0.0004036426544189453,
- 0.0004410743713378906]},
- {'mode': 'markers',
- 'name': 'Sample 5',
- 'type': 'scatter',
- 'x': [1, 2, 2, 7, 3, 3, 2, 4, 2, 10, 4, 3, 2, 4, 2, 7, 7, 7, 3, 3,
- 3, 1, 5, 1, 9, 1, 6, 3, 4, 3, 3, 4, 9, 7, 7, 7, 5, 5, 4, 3, 2,
- 1, 4, 7, 7, 1, 1, 1, 1, 1, 1, 5, 1, 3, 3, 1, 1, 1, 1, 1, 1, 1,
- 2, 5, 1, 4, 4, 4, 5, 3, 3, 4, 8, 3, 11, 6, 4, 1, 1, 1, 1, 1, 1,
- 6, 3, 2, 1, 4],
- 'y': [0.02389812469482422, 0.036725521087646484,
- 0.03748202323913574, 0.0003993511199951172,
- 0.00040149688720703125, 0.00037860870361328125,
- 0.03656482696533203, 0.00037789344787597656,
- 0.00035452842712402344, 0.0003368854522705078,
- 0.0003323554992675781, 0.03852534294128418,
- 0.00041961669921875, 0.0003974437713623047,
- 0.00035190582275390625, 0.03538036346435547,
- 0.0386195182800293, 0.0003879070281982422,
- 0.00038504600524902344, 0.03581666946411133,
- 0.03861117362976074, 0.0003764629364013672,
- 0.0003905296325683594, 0.0003390312194824219,
- 0.0003447532653808594, 0.03829693794250488,
- 0.03678441047668457, 0.0003509521484375, 0.000347137451171875,
- 0.03667020797729492, 0.0003821849822998047,
- 0.038771867752075195, 0.0003814697265625,
- 0.0004105567932128906, 0.00036406517028808594,
- 0.0003502368927001953, 0.03686046600341797,
- 0.00038504600524902344, 0.0004894733428955078,
- 0.00035858154296875, 0.0003566741943359375,
- 0.036455631256103516, 0.00041294097900390625,
- 0.03857111930847168, 0.00039124488830566406,
- 0.0003914833068847656, 0.00037932395935058594,
- 0.0003573894500732422, 0.04038119316101074,
- 0.000392913818359375, 0.0005247592926025391,
- 0.0004410743713378906, 0.1658310890197754,
- 0.0004050731658935547, 0.000396728515625,
- 0.0003733634948730469, 0.0003719329833984375,
- 0.039269447326660156, 0.0003829002380371094,
- 0.0003581047058105469, 0.0003204345703125,
- 0.000347137451171875, 0.04003787040710449,
- 0.0003342628479003906, 0.000331878662109375,
- 0.038649797439575195, 0.0004029273986816406,
- 0.00040411949157714844, 0.00037288665771484375,
- 0.0003476142883300781, 0.03940582275390625,
- 0.0004019737243652344, 0.00039839744567871094,
- 0.039518117904663086, 0.0003998279571533203,
- 0.00047516822814941406, 0.03865957260131836,
- 0.0003979206085205078, 0.00039958953857421875,
- 0.000392913818359375, 0.0003399848937988281,
- 0.038704872131347656, 0.0004055500030517578,
- 0.0004029273986816406, 0.00038886070251464844,
- 0.059705257415771484, 0.00041031837463378906,
- 0.0004134178161621094]},
- {'mode': 'markers',
- 'name': 'Sample 4',
- 'type': 'scatter',
- 'x': [1, 2, 2, 7, 3, 3, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 3, 6, 4, 8,
- 1, 9, 5, 1, 1, 1, 1, 1, 1, 2, 2, 3, 10, 4, 8, 6, 1, 1, 1, 1, 1,
- 1, 3, 9, 1, 5, 1, 3, 3, 3, 1, 1, 1, 1, 2, 4, 9, 1, 6, 4, 6, 4,
- 2, 6, 3, 7, 4, 6, 3, 2, 1, 4],
- 'y': [0.0005474090576171875, 0.027386903762817383,
- 0.00035643577575683594, 0.0003509521484375,
- 0.0003695487976074219, 0.00035881996154785156,
- 0.02797675132751465, 0.0003612041473388672,
- 0.029891014099121094, 0.00029969215393066406,
- 0.0002951622009277344, 0.0002720355987548828,
- 0.00026226043701171875, 0.03091716766357422,
- 0.00028896331787109375, 0.00028824806213378906,
- 0.0002532005310058594, 0.0002422332763671875,
- 0.15184831619262695, 0.028398752212524414,
- 0.00031685829162597656, 0.0003097057342529297,
- 0.00029349327087402344, 0.0002925395965576172,
- 0.04083847999572754, 0.00032711029052734375,
- 0.0003230571746826172, 0.00030541419982910156,
- 0.00029754638671875, 0.01632523536682129,
- 0.0002949237823486328, 0.00029349327087402344,
- 0.0003380775451660156, 0.00043201446533203125,
- 0.024099111557006836, 0.02512669563293457, 0.02952861785888672,
- 0.0003464221954345703, 0.0003380775451660156,
- 0.00032210350036621094, 0.00031113624572753906,
- 0.019763708114624023, 0.0004520416259765625,
- 0.0003960132598876953, 0.030102252960205078,
- 0.0004012584686279297, 0.0003902912139892578,
- 0.022861719131469727, 0.0005650520324707031,
- 0.0005576610565185547, 0.028072118759155273,
- 0.0002777576446533203, 0.00027298927307128906,
- 0.023687362670898438, 0.000286102294921875,
- 0.0002913475036621094, 0.0002593994140625,
- 0.00027823448181152344, 0.021100282669067383,
- 0.027158737182617188, 0.027317523956298828,
- 0.02446722984313965, 0.0005373954772949219,
- 0.028754472732543945, 0.027008056640625,
- 0.00027179718017578125, 0.0002655982971191406,
- 0.025178194046020508, 0.027467727661132812,
- 0.0002765655517578125, 0.02838897705078125,
- 0.00026726722717285156, 0.021776199340820312]},
- {'mode': 'markers',
- 'name': 'Sample 5',
- 'type': 'scatter',
- 'x': [1, 2, 2, 7, 3, 3, 2, 1, 3, 2, 10, 9, 2, 7, 7, 7, 3, 3, 3, 1,
- 5, 1, 6, 5, 3, 10, 2, 3, 5, 4, 4, 8, 3, 4, 9, 7, 7, 7, 5, 5, 5,
- 2, 3, 1, 4, 7, 3, 1, 1, 1, 1, 1, 1, 5, 1, 6, 1, 1, 1, 1, 1, 1,
- 1, 4, 3, 1, 4, 4, 4, 5, 3, 3, 4, 1, 3, 4, 4, 10, 3, 9, 7, 6, 4,
- 1, 1, 1, 1, 1, 1, 6, 3, 2, 1, 4],
- 'y': [0.0005931854248046875, 0.02092146873474121,
- 0.0004723072052001953, 0.0005333423614501953,
- 0.0005037784576416016, 0.0005061626434326172,
- 0.019067764282226562, 0.020663022994995117,
- 0.0005545616149902344, 0.0005629062652587891,
- 0.0005033016204833984, 0.0005269050598144531,
- 0.018299102783203125, 0.0005452632904052734,
- 0.02031874656677246, 0.0005550384521484375,
- 0.0005700588226318359, 0.02047872543334961,
- 0.01972365379333496, 0.00037550926208496094,
- 0.00037026405334472656, 0.00035834312438964844,
- 0.019721269607543945, 0.020390033721923828,
- 0.02703571319580078, 0.0003650188446044922,
- 0.01171731948852539, 0.0003592967987060547,
- 0.00036406517028808594, 0.01984262466430664,
- 0.0004436969757080078, 0.018506526947021484,
- 0.000377655029296875, 0.019510984420776367,
- 0.0003790855407714844, 0.01960277557373047,
- 0.00039577484130859375, 0.00038361549377441406,
- 0.0006175041198730469, 0.023877859115600586,
- 0.0003859996795654297, 0.020222187042236328,
- 0.018988847732543945, 0.00037384033203125,
- 0.0004515647888183594, 0.018201351165771484,
- 0.0003991127014160156, 0.00039124488830566406,
- 0.02083611488342285, 0.020326852798461914,
- 0.00039577484130859375, 0.0003635883331298828,
- 0.0003707408905029297, 0.0003528594970703125,
- 0.018456220626831055, 0.02429938316345215, 0.000396728515625,
- 0.00037598609924316406, 0.0003447532653808594,
- 0.0003361701965332031, 0.01441049575805664,
- 0.00035381317138671875, 0.0003571510314941406,
- 0.00037741661071777344, 0.0003509521484375,
- 0.01781296730041504, 0.024484634399414062,
- 0.00042366981506347656, 0.00038242340087890625,
- 0.020982742309570312, 0.00043272972106933594,
- 0.00037217140197753906, 0.0003573894500732422,
- 0.00035309791564941406, 0.01815032958984375,
- 0.00038623809814453125, 0.01983332633972168,
- 0.019982337951660156, 0.021914958953857422,
- 0.00043773651123046875, 0.00045990943908691406,
- 0.0003650188446044922, 0.00035643577575683594,
- 0.023973703384399414, 0.00038552284240722656,
- 0.0003807544708251953, 0.0003571510314941406,
- 0.000347137451171875, 0.014351606369018555,
- 0.00035834312438964844, 0.000370025634765625,
- 0.02260756492614746, 0.0003604888916015625,
- 0.017879009246826172]},
- {'mode': 'markers',
- 'name': 'Sample 4',
- 'type': 'scatter',
- 'x': [1, 1, 1, 2, 7, 2, 2, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 10, 6,
- 4, 8, 1, 9, 3, 1, 1, 1, 1, 1, 3, 2, 2, 3, 10, 8, 4, 8, 6, 1, 1,
- 1, 1, 1, 3, 3, 9, 1, 7, 6, 5, 2, 3, 1, 3, 3, 3, 1, 1, 1, 2, 2,
- 4, 9, 3, 6, 1, 4, 6, 1, 4, 6, 4, 3, 4, 2, 6, 3, 7, 4, 6, 1, 6,
- 4, 3, 3, 3, 5, 3, 4, 5, 9, 2],
- 'y': [0.29203152656555176, 0.03283214569091797,
- 0.032903432846069336, 0.032697439193725586, 0.0333864688873291,
- 0.03369426727294922, 0.03273463249206543, 0.0335843563079834,
- 0.03351926803588867, 0.03276228904724121, 0.03308916091918945,
- 0.03295564651489258, 0.03250241279602051, 0.0329282283782959,
- 0.03304266929626465, 0.032469987869262695, 0.03328967094421387,
- 0.03281092643737793, 0.03333854675292969, 0.03391671180725098,
- 0.032930850982666016, 0.033084869384765625,
- 0.03351187705993652, 0.033582448959350586, 0.03381013870239258,
- 0.03433728218078613, 0.03372526168823242, 0.03335857391357422,
- 0.03373432159423828, 0.03283834457397461, 0.033095598220825195,
- 0.03304314613342285, 0.03267860412597656, 0.03285098075866699,
- 0.03281903266906738, 0.032959938049316406, 0.03292489051818848,
- 0.03278708457946777, 0.03318333625793457, 0.03335380554199219,
- 0.033308982849121094, 0.0345308780670166, 0.03380846977233887,
- 0.032709598541259766, 0.09348464012145996,
- 0.034333229064941406, 0.03458261489868164,
- 0.034612178802490234, 0.03476095199584961, 0.03465151786804199,
- 0.03463006019592285, 0.03491806983947754, 0.03465104103088379,
- 0.03501248359680176, 0.03457069396972656, 0.034523963928222656,
- 0.03483152389526367, 0.03526139259338379, 0.03551173210144043,
- 0.03525495529174805, 0.0344393253326416, 0.035164833068847656,
- 0.03458738327026367, 0.03454756736755371, 0.03471851348876953,
- 0.03469729423522949, 0.03504824638366699, 0.0347743034362793,
- 0.03462553024291992, 0.03461623191833496, 0.03480720520019531,
- 0.03456473350524902, 0.03455233573913574, 0.034876346588134766,
- 0.03455662727355957, 0.03466391563415527, 0.03458976745605469,
- 0.03463411331176758, 0.03481698036193848, 0.03476357460021973,
- 0.03433370590209961, 0.034842491149902344, 0.03489208221435547,
- 0.03453636169433594, 0.03464221954345703, 0.03512287139892578,
- 0.034854888916015625, 0.03476405143737793, 0.03532838821411133,
- 0.03505563735961914, 0.03478693962097168, 0.03479576110839844,
- 0.03597259521484375]},
- {'mode': 'markers',
- 'name': 'Sample 5',
- 'type': 'scatter',
- 'x': [1, 1, 1, 2, 7, 2, 2, 2, 1, 3, 2, 10, 9, 6, 7, 7, 7, 1, 10, 1,
- 1, 1, 1, 1, 7, 5, 4, 6, 3, 1, 1, 1, 1, 1, 1, 4, 3, 1, 5, 4, 5,
- 3, 3, 4, 3, 2, 7, 5, 1, 3, 3, 3, 1, 5, 7, 9, 3, 3, 5, 4, 1, 4,
- 7, 5, 6, 2, 7, 3, 4, 9, 7, 7, 7, 5, 5, 4, 2, 3, 1, 5, 4, 10, 3,
- 9, 7, 6, 4, 1, 1, 1, 1, 1, 1],
- 'y': [0.3191962242126465, 0.03439736366271973, 0.0346066951751709,
- 0.03457045555114746, 0.03481411933898926, 0.03466367721557617,
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- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_sizes'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times'}}}
-})",Scatter plot of chunk_sizes and chunk_generation_times for english|json
-gpt-3.5-turbo,english,json,"chunk_sizes, chunk_generation_times",./html/plots/english|json_hist2d.html,"Figure({
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- 'name': 'Sample 4',
- 'type': 'histogram2d',
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- 4, 8, 1, 9, 3, 1, 1, 1, 1, 1, 3, 2, 2, 3, 10, 8, 4, 8, 6, 1, 1,
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- 'name': 'Sample 5',
- 'type': 'histogram2d',
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- '#35b779'], [0.7777777777777778, '#6ece58'],
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- 'name': 'Sample 4',
- 'type': 'histogram2d',
- 'x': [1, 1, 1, 7, 2, 2, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 10, 6, 4,
- 8, 5, 1, 1, 1, 1, 1, 1, 2, 2, 3, 10, 3, 1, 1, 1, 1, 1, 1, 3, 9,
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- 'name': 'Sample 5',
- 'type': 'histogram2d',
- 'x': [1, 1, 1, 7, 2, 2, 2, 1, 3, 2, 10, 9, 2, 1, 1, 1, 1, 1, 1, 5,
- 1, 1, 1, 1, 1, 1, 1, 4, 2, 7, 7, 7, 3, 3, 3, 1, 5, 7, 9, 3, 3,
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- 'y': [0.05948185920715332, 0.03695845603942871,
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- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 4',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, 7, 3, 3, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 9, 6, 4, 8,
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- 'name': 'Sample 5',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, 7, 3, 3, 2, 4, 2, 10, 4, 3, 2, 4, 2, 7, 7, 7, 3, 3,
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- 0.00021266937255859375, 0.00023436546325683594,
- 0.03985857963562012, 0.0005190372467041016,
- 0.0004825592041015625, 0.044085025787353516, 0.00042724609375,
- 0.00035762786865234375, 0.0003459453582763672,
- 0.0004661083221435547, 0.03966093063354492,
- 0.0004951953887939453, 0.0004363059997558594,
- 0.04251503944396973, 0.0006127357482910156,
- 0.0007796287536621094, 0.048806190490722656,
- 0.0004069805145263672, 0.00030684471130371094,
- 0.0002675056457519531, 0.0002605915069580078,
- 0.03645610809326172, 0.00045871734619140625,
- 0.0004115104675292969, 0.0003986358642578125,
- 0.04756641387939453, 0.0004849433898925781,
- 0.0004837512969970703]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 4',
- 'type': 'histogram2d',
- 'x': [2, 1, 7, 2, 2, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 3, 6, 4, 8, 9,
- 5, 1, 2, 1, 2, 4, 3, 10, 8, 6, 1, 2, 1, 2, 3, 9, 1, 5, 1, 3, 1,
- 2, 3, 2, 2, 2, 1, 1, 4, 9, 1, 5, 9, 7, 3, 3, 3, 1, 2, 3, 3, 3,
- 4, 4, 6, 1, 12, 3, 6, 4, 3, 3, 3, 8, 1, 7, 4, 6, 4, 3, 10, 3,
- 1],
- 'y': [0.04870343208312988, 0.0008754730224609375,
- 0.0006856918334960938, 0.05052924156188965,
- 0.0007612705230712891, 0.0007138252258300781,
- 0.05945396423339844, 0.0007116794586181641,
- 0.0006721019744873047, 0.03676009178161621,
- 0.0006625652313232422, 0.00060272216796875,
- 0.041220903396606445, 0.0007605552673339844,
- 0.09726071357727051, 0.0006399154663085938,
- 0.0005872249603271484, 0.010589838027954102,
- 0.0005767345428466797, 0.0005838871002197266,
- 0.04316306114196777, 0.0007243156433105469,
- 0.0007395744323730469, 0.049043893814086914,
- 0.0007297992706298828, 0.0009777545928955078,
- 0.05614209175109863, 0.0035529136657714844,
- 0.0007302761077880859, 0.03273773193359375,
- 0.0005092620849609375, 0.0004992485046386719,
- 0.04534482955932617, 0.0006175041198730469, 0.0005035400390625,
- 0.056000471115112305, 0.0006108283996582031,
- 0.0006892681121826172, 0.05494189262390137,
- 0.0006136894226074219, 0.0005955696105957031,
- 0.047585487365722656, 0.0006284713745117188,
- 0.0006136894226074219, 0.05201530456542969,
- 0.0007119178771972656, 0.0006422996520996094,
- 0.049916744232177734, 0.0007357597351074219,
- 0.0007643699645996094, 0.032527923583984375,
- 0.0005996227264404297, 0.0005996227264404297,
- 0.04884958267211914, 0.0007956027984619141,
- 0.047966718673706055, 0.0006067752838134766,
- 0.0005893707275390625, 0.050232887268066406,
- 0.0006134510040283203, 0.0005927085876464844, 0.0411376953125,
- 0.0005886554718017578, 0.0005781650543212891,
- 0.04338359832763672, 0.0007481575012207031,
- 0.0007712841033935547, 0.055136680603027344,
- 0.0027420520782470703, 0.0027091503143310547,
- 0.032217979431152344, 0.004677534103393555,
- 0.004688739776611328, 0.05284762382507324,
- 0.0007617473602294922, 0.0007486343383789062,
- 0.02643418312072754, 0.0007987022399902344,
- 0.0007715225219726562, 0.04969930648803711,
- 0.0008134841918945312, 0.0008161067962646484,
- 0.0007889270782470703, 0.0007808208465576172]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 5',
- 'type': 'histogram2d',
- 'x': [2, 1, 7, 2, 2, 3, 5, 10, 4, 9, 2, 7, 7, 7, 3, 3, 3, 1, 5, 1,
- 6, 5, 3, 7, 3, 4, 9, 7, 7, 7, 4, 2, 3, 1, 4, 7, 3, 1, 2, 1, 1,
- 1, 5, 1, 7, 1, 1, 1, 3, 7, 1, 4, 4, 4, 9, 3, 9, 6, 4, 1, 1, 1,
- 3, 6, 3, 1],
- 'y': [0.015603780746459961, 0.0005910396575927734,
- 0.0005669593811035156, 0.05751180648803711,
- 0.0006768703460693359, 0.0006248950958251953,
- 0.17932343482971191, 0.0006248950958251953,
- 0.0006041526794433594, 0.036344051361083984,
- 0.0007562637329101562, 0.0007996559143066406,
- 0.0007388591766357422, 0.000698089599609375,
- 0.0032875537872314453, 0.0007140636444091797,
- 0.0006976127624511719, 0.0006957054138183594,
- 0.0006902217864990234, 0.04928946495056152,
- 0.0006926059722900391, 0.0007088184356689453,
- 0.04145336151123047, 0.0008268356323242188,
- 0.0007395744323730469, 0.04828476905822754,
- 0.0007398128509521484, 0.0007483959197998047,
- 0.05336332321166992, 0.001009225845336914,
- 0.0009894371032714844, 0.05631303787231445,
- 0.0009996891021728516, 0.0009918212890625, 0.0393061637878418,
- 0.0012066364288330078, 0.0009784698486328125,
- 0.05166935920715332, 0.0010085105895996094,
- 0.0009777545928955078, 0.04931902885437012,
- 0.0010004043579101562, 0.0009801387786865234,
- 0.050997257232666016, 0.0009813308715820312,
- 0.0009334087371826172, 0.04729890823364258,
- 0.0010924339294433594, 0.0009469985961914062,
- 0.04869866371154785, 0.0009634494781494141,
- 0.0009560585021972656, 0.050952911376953125,
- 0.001001596450805664, 0.0009922981262207031,
- 0.04859519004821777, 0.0009877681732177734,
- 0.0009810924530029297, 0.04834723472595215,
- 0.0010945796966552734, 0.0009770393371582031,
- 0.048398733139038086, 0.0009751319885253906,
- 0.0009753704071044922, 0.0010814666748046875,
- 0.0009486675262451172]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 4',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, 7, 3, 3, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 9, 6, 4, 8,
- 1, 9, 5, 1, 1, 1, 1, 1, 1, 2, 2, 3, 4, 3, 3, 8, 1, 5, 2, 3, 1,
- 3, 1, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 4, 6, 5, 3, 9, 1, 12, 4, 4,
- 3, 7, 4, 6, 6, 1, 1, 1, 1, 1, 1, 3, 3, 3, 3, 3, 2, 1, 4],
- 'y': [0.040894508361816406, 0.17456650733947754,
- 0.047301530838012695, 0.0003261566162109375,
- 0.00032210350036621094, 0.0003070831298828125,
- 0.04634594917297363, 0.00029587745666503906,
- 0.04378390312194824, 0.0003039836883544922,
- 0.0002963542938232422, 0.0002579689025878906,
- 0.000255584716796875, 0.03963279724121094,
- 0.00030922889709472656, 0.0003070831298828125,
- 0.00029206275939941406, 0.0002868175506591797,
- 0.03844881057739258, 0.00032782554626464844,
- 0.0003237724304199219, 0.0003101825714111328,
- 0.0003046989440917969, 0.0403895378112793,
- 0.0004048347473144531, 0.000385284423828125,
- 0.0003724098205566406, 0.00037741661071777344,
- 0.04168558120727539, 0.0003974437713623047,
- 0.0003883838653564453, 0.0003688335418701172,
- 0.001092672348022461, 0.03908658027648926,
- 0.0004780292510986328, 0.00041174888610839844,
- 0.0003924369812011719, 0.00036978721618652344,
- 0.036594390869140625, 0.00039696693420410156,
- 0.00038504600524902344, 0.0005986690521240234,
- 0.00037932395935058594, 0.03723287582397461,
- 0.0003979206085205078, 0.0003876686096191406,
- 0.00036978721618652344, 0.0004088878631591797,
- 0.040205955505371094, 0.0004036426544189453,
- 0.0003998279571533203, 0.0003871917724609375,
- 0.0003490447998046875, 0.03879904747009277,
- 0.00038552284240722656, 0.000377655029296875,
- 0.0003769397735595703, 0.034783124923706055,
- 0.00041174888610839844, 0.03948378562927246,
- 0.04220890998840332, 0.03983759880065918, 0.03954482078552246,
- 0.00039076805114746094, 0.0003876686096191406,
- 0.0003757476806640625, 0.00035834312438964844,
- 0.03757929801940918, 0.04147195816040039,
- 0.0004000663757324219, 0.00039768218994140625,
- 0.0003752708435058594, 0.00044465065002441406,
- 0.04171347618103027, 0.00040340423583984375,
- 0.0003955364227294922, 0.0003895759582519531,
- 0.00038242340087890625, 0.03504776954650879,
- 0.04073190689086914, 0.0004036426544189453,
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- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 5',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, 7, 3, 3, 2, 4, 2, 10, 4, 3, 2, 4, 2, 7, 7, 7, 3, 3,
- 3, 1, 5, 1, 9, 1, 6, 3, 4, 3, 3, 4, 9, 7, 7, 7, 5, 5, 4, 3, 2,
- 1, 4, 7, 7, 1, 1, 1, 1, 1, 1, 5, 1, 3, 3, 1, 1, 1, 1, 1, 1, 1,
- 2, 5, 1, 4, 4, 4, 5, 3, 3, 4, 8, 3, 11, 6, 4, 1, 1, 1, 1, 1, 1,
- 6, 3, 2, 1, 4],
- 'y': [0.02389812469482422, 0.036725521087646484,
- 0.03748202323913574, 0.0003993511199951172,
- 0.00040149688720703125, 0.00037860870361328125,
- 0.03656482696533203, 0.00037789344787597656,
- 0.00035452842712402344, 0.0003368854522705078,
- 0.0003323554992675781, 0.03852534294128418,
- 0.00041961669921875, 0.0003974437713623047,
- 0.00035190582275390625, 0.03538036346435547,
- 0.0386195182800293, 0.0003879070281982422,
- 0.00038504600524902344, 0.03581666946411133,
- 0.03861117362976074, 0.0003764629364013672,
- 0.0003905296325683594, 0.0003390312194824219,
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- 0.03678441047668457, 0.0003509521484375, 0.000347137451171875,
- 0.03667020797729492, 0.0003821849822998047,
- 0.038771867752075195, 0.0003814697265625,
- 0.0004105567932128906, 0.00036406517028808594,
- 0.0003502368927001953, 0.03686046600341797,
- 0.00038504600524902344, 0.0004894733428955078,
- 0.00035858154296875, 0.0003566741943359375,
- 0.036455631256103516, 0.00041294097900390625,
- 0.03857111930847168, 0.00039124488830566406,
- 0.0003914833068847656, 0.00037932395935058594,
- 0.0003573894500732422, 0.04038119316101074,
- 0.000392913818359375, 0.0005247592926025391,
- 0.0004410743713378906, 0.1658310890197754,
- 0.0004050731658935547, 0.000396728515625,
- 0.0003733634948730469, 0.0003719329833984375,
- 0.039269447326660156, 0.0003829002380371094,
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- 0.000347137451171875, 0.04003787040710449,
- 0.0003342628479003906, 0.000331878662109375,
- 0.038649797439575195, 0.0004029273986816406,
- 0.00040411949157714844, 0.00037288665771484375,
- 0.0003476142883300781, 0.03940582275390625,
- 0.0004019737243652344, 0.00039839744567871094,
- 0.039518117904663086, 0.0003998279571533203,
- 0.00047516822814941406, 0.03865957260131836,
- 0.0003979206085205078, 0.00039958953857421875,
- 0.000392913818359375, 0.0003399848937988281,
- 0.038704872131347656, 0.0004055500030517578,
- 0.0004029273986816406, 0.00038886070251464844,
- 0.059705257415771484, 0.00041031837463378906,
- 0.0004134178161621094]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 4',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, 7, 3, 3, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 3, 6, 4, 8,
- 1, 9, 5, 1, 1, 1, 1, 1, 1, 2, 2, 3, 10, 4, 8, 6, 1, 1, 1, 1, 1,
- 1, 3, 9, 1, 5, 1, 3, 3, 3, 1, 1, 1, 1, 2, 4, 9, 1, 6, 4, 6, 4,
- 2, 6, 3, 7, 4, 6, 3, 2, 1, 4],
- 'y': [0.0005474090576171875, 0.027386903762817383,
- 0.00035643577575683594, 0.0003509521484375,
- 0.0003695487976074219, 0.00035881996154785156,
- 0.02797675132751465, 0.0003612041473388672,
- 0.029891014099121094, 0.00029969215393066406,
- 0.0002951622009277344, 0.0002720355987548828,
- 0.00026226043701171875, 0.03091716766357422,
- 0.00028896331787109375, 0.00028824806213378906,
- 0.0002532005310058594, 0.0002422332763671875,
- 0.15184831619262695, 0.028398752212524414,
- 0.00031685829162597656, 0.0003097057342529297,
- 0.00029349327087402344, 0.0002925395965576172,
- 0.04083847999572754, 0.00032711029052734375,
- 0.0003230571746826172, 0.00030541419982910156,
- 0.00029754638671875, 0.01632523536682129,
- 0.0002949237823486328, 0.00029349327087402344,
- 0.0003380775451660156, 0.00043201446533203125,
- 0.024099111557006836, 0.02512669563293457, 0.02952861785888672,
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- 0.00032210350036621094, 0.00031113624572753906,
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- 0.022861719131469727, 0.0005650520324707031,
- 0.0005576610565185547, 0.028072118759155273,
- 0.0002777576446533203, 0.00027298927307128906,
- 0.023687362670898438, 0.000286102294921875,
- 0.0002913475036621094, 0.0002593994140625,
- 0.00027823448181152344, 0.021100282669067383,
- 0.027158737182617188, 0.027317523956298828,
- 0.02446722984313965, 0.0005373954772949219,
- 0.028754472732543945, 0.027008056640625,
- 0.00027179718017578125, 0.0002655982971191406,
- 0.025178194046020508, 0.027467727661132812,
- 0.0002765655517578125, 0.02838897705078125,
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- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 5',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, 7, 3, 3, 2, 1, 3, 2, 10, 9, 2, 7, 7, 7, 3, 3, 3, 1,
- 5, 1, 6, 5, 3, 10, 2, 3, 5, 4, 4, 8, 3, 4, 9, 7, 7, 7, 5, 5, 5,
- 2, 3, 1, 4, 7, 3, 1, 1, 1, 1, 1, 1, 5, 1, 6, 1, 1, 1, 1, 1, 1,
- 1, 4, 3, 1, 4, 4, 4, 5, 3, 3, 4, 1, 3, 4, 4, 10, 3, 9, 7, 6, 4,
- 1, 1, 1, 1, 1, 1, 6, 3, 2, 1, 4],
- 'y': [0.0005931854248046875, 0.02092146873474121,
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- 0.0005037784576416016, 0.0005061626434326172,
- 0.019067764282226562, 0.020663022994995117,
- 0.0005545616149902344, 0.0005629062652587891,
- 0.0005033016204833984, 0.0005269050598144531,
- 0.018299102783203125, 0.0005452632904052734,
- 0.02031874656677246, 0.0005550384521484375,
- 0.0005700588226318359, 0.02047872543334961,
- 0.01972365379333496, 0.00037550926208496094,
- 0.00037026405334472656, 0.00035834312438964844,
- 0.019721269607543945, 0.020390033721923828,
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- 0.01171731948852539, 0.0003592967987060547,
- 0.00036406517028808594, 0.01984262466430664,
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- 0.0003790855407714844, 0.01960277557373047,
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 4',
- 'type': 'histogram2d',
- 'x': [1, 1, 1, 2, 7, 2, 2, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 10, 6,
- 4, 8, 1, 9, 3, 1, 1, 1, 1, 1, 3, 2, 2, 3, 10, 8, 4, 8, 6, 1, 1,
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- '#35b779'], [0.7777777777777778, '#6ece58'],
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- 'name': 'Sample 5',
- 'type': 'histogram2d',
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- '#35b779'], [0.7777777777777778, '#6ece58'],
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- 'name': 'Sample 4',
- 'type': 'histogram2d',
- 'x': [1, 1, 1, 7, 2, 2, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 10, 6, 4,
- 8, 5, 1, 1, 1, 1, 1, 1, 2, 2, 3, 10, 3, 1, 1, 1, 1, 1, 1, 3, 9,
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- 'name': 'Sample 5',
- 'type': 'histogram2d',
- 'x': [1, 1, 1, 7, 2, 2, 2, 1, 3, 2, 10, 9, 2, 1, 1, 1, 1, 1, 1, 5,
- 1, 1, 1, 1, 1, 1, 1, 4, 2, 7, 7, 7, 3, 3, 3, 1, 5, 7, 9, 3, 3,
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- '#35b779'], [0.7777777777777778, '#6ece58'],
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- 'name': 'Sample 4',
- 'type': 'histogram2d',
- 'x': [3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 9, 6, 4, 8, 1, 9, 5, 1, 1, 1,
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- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 5',
- 'type': 'histogram2d',
- 'x': [3, 5, 1, 2, 2, 4, 2, 10, 3, 2, 4, 4, 7, 7, 7, 3, 3, 3, 1, 5,
- 6, 3, 3, 6, 3, 5, 3, 4, 2, 3, 2, 7, 4, 4, 8, 1, 1, 7, 6, 10, 4,
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- 'y': [0.10076236724853516, 0.011076688766479492,
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- 'layout': {'coloraxis': {'colorbar': {'title': {'text': 'frequency'}}},
- 'template': '...',
- 'xaxis': {'title': {'text': 'chunk_sizes'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times'}}}
-})",2D histogram of chunk_sizes and chunk_generation_times for english|json
-gpt-3.5-turbo,japanese,markdown,"chunk_sizes, chunk_generation_times",./html/plots/japanese|markdown_scatter.html,"Figure({
- 'data': [{'mode': 'markers',
- 'name': 'Sample 2',
- 'type': 'scatter',
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- {'mode': 'markers', 'name': 'Sample 3', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 2', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 3', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers',
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- {'mode': 'markers',
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- 0.0002346038818359375, ..., 0.00040221214294433594,
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- {'mode': 'markers',
- 'name': 'Sample 3',
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- {'mode': 'markers', 'name': 'Sample 2', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 3', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 2', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 3', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 2', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 3', 'type': 'scatter', 'x': [], 'y': []}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_sizes'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times'}}}
-})",Scatter plot of chunk_sizes and chunk_generation_times for japanese|markdown
-gpt-3.5-turbo,japanese,markdown,"chunk_sizes, chunk_generation_times",./html/plots/japanese|markdown_hist2d.html,"Figure({
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- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 2',
- 'type': 'histogram2d',
- 'x': [1, 1, 1, ..., 1, 1, 1],
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- 'name': 'Sample 3',
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- 'name': 'Sample 2',
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- 'name': 'Sample 3',
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 2',
- 'type': 'histogram2d',
- 'x': [1, 3, 4, ..., 3, 1, 4],
- 'y': [0.4988229274749756, 0.041541337966918945,
- 0.00046896934509277344, ..., 0.0002532005310058594,
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 3',
- 'type': 'histogram2d',
- 'x': [2, 5, 1, ..., 9, 1, 4],
- 'y': [0.053075551986694336, 0.023623943328857422,
- 0.00044035911560058594, ..., 0.04376816749572754,
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 2',
- 'type': 'histogram2d',
- 'x': [1, 1, 1, ..., 1, 2, 4],
- 'y': [0.022631406784057617, 0.022909164428710938,
- 0.0002346038818359375, ..., 0.00040221214294433594,
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 3',
- 'type': 'histogram2d',
- 'x': [2, 5, 1, ..., 1, 1, 4],
- 'y': [0.02977275848388672, 0.10252237319946289,
- 0.0004799365997314453, ..., 0.027635812759399414,
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 2',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 3',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 2',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 3',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 2',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 3',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []}],
- 'layout': {'coloraxis': {'colorbar': {'title': {'text': 'frequency'}}},
- 'template': '...',
- 'xaxis': {'title': {'text': 'chunk_sizes'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times'}}}
-})",2D histogram of chunk_sizes and chunk_generation_times for japanese|markdown
-gpt-3.5-turbo,english,markdown,"chunk_sizes, chunk_generation_times",./html/plots/english|markdown_scatter.html,"Figure({
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- 'name': 'Sample 0',
- 'type': 'scatter',
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- 3, 3, 3, 4, 4, 6, 1, 4, 9, 1, 6, 5, 6, 4, 3, 3, 3, 8, 1, 5, 8,
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- {'mode': 'markers',
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- 3, 5, 4, 1, 4, 7, 1, 9, 3, 1, 2, 1, 1, 1, 2, 2, 2, 1, 4, 9, 1,
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- 7, 3, 4, 9, 7, 7, 7, 5, 5, 3, 2, 3, 1, 5, 7, 4, 4, 10, 3, 9,
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- {'mode': 'markers',
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- 1, 1, 1, 3, 2, 2, 3, 10, 6, 4, 8, 6, 1, 1, 1, 1, 1, 3, 3, 9, 1,
- 7, 6, 4, 9, 1, 5, 2, 3, 1, 3, 3, 3, 1, 1, 1, 2, 2, 2, 1, 1, 3,
- 1, 1, 1, 9, 4, 2, 3, 1, 3, 3, 3, 1, 1, 1, 2, 2, 2, 1, 1, 1, 3,
- 1, 1, 1, 3, 6, 1, 4, 6, 1, 5],
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- {'mode': 'markers',
- 'name': 'Sample 1',
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- 'layout': {'coloraxis': {'colorbar': {'title': {'text': 'frequency'}}},
- 'template': '...',
- 'xaxis': {'title': {'text': 'chunk_sizes'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times'}}}
-})",2D histogram of chunk_sizes and chunk_generation_times for english|markdown
-gpt-3.5-turbo,japanese,json,"chunk_sizes, chunk_generation_times",./html/plots/japanese|json_scatter.html,"Figure({
- 'data': [{'mode': 'markers',
- 'name': 'Sample 6',
- 'type': 'scatter',
- 'x': [2, 1, 7, ..., 1, 2, 1],
- 'y': [0.055197715759277344, 0.0009396076202392578,
- 0.0006830692291259766, ..., 0.0014231204986572266,
- 0.001180410385131836, 0.0013620853424072266]},
- {'mode': 'markers',
- 'name': 'Sample 7',
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- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 2, 1],
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- 0.000919342041015625]},
- {'mode': 'markers', 'name': 'Sample 6', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 7', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 6', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 7', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers',
- 'name': 'Sample 6',
- 'type': 'scatter',
- 'x': [1, 2, 2, 7, 3, 3, 1, 1, 7, 1, 10, 1, 1, 1, 5, 4, 6, 6, 1, 5,
- 4, 2, 2, 5, 2, 4, 4, 5, 3, 3, 6, 6, 6, 4, 4, 4, 1, 1, 1, 5, 1,
- 4, 7, 10, 4, 11, 1, 4, 4, 1, 1, 1, 7, 5, 8, 4, 7, 1, 4, 7, 4,
- 2, 4, 3, 7, 1, 4, 4, 5, 5, 3, 4, 4, 3, 4, 5, 8, 2, 7, 8, 3, 1,
- 4, 10, 4, 8, 1, 4, 4, 7, 4, 3, 9, 8, 6, 7, 4, 4, 2, 5, 7, 1, 4,
- 7, 4, 11, 3, 7, 3, 3, 6, 4, 7, 4, 6, 1, 4, 4, 5, 5, 4, 2, 2, 5,
- 4, 3, 4, 4, 2, 3, 5, 6, 8, 3, 2, 1, 4],
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- {'mode': 'markers',
- 'name': 'Sample 7',
- 'type': 'scatter',
- 'x': [1, 2, 2, ..., 2, 1, 4],
- 'y': [0.04017806053161621, 0.036365509033203125,
- 0.03893852233886719, ..., 0.045708656311035156,
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- {'mode': 'markers',
- 'name': 'Sample 6',
- 'type': 'scatter',
- 'x': [2, 1, 7, ..., 1, 2, 1],
- 'y': [0.0026655197143554688, 0.0007488727569580078,
- 0.0007848739624023438, ..., 0.01340627670288086,
- 0.0009033679962158203, 0.0009148120880126953]},
- {'mode': 'markers',
- 'name': 'Sample 7',
- 'type': 'scatter',
- 'x': [2, 1, 7, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1,
- 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
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- 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1],
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- 0.06774592399597168, 0.0009982585906982422,
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- {'mode': 'markers',
- 'name': 'Sample 6',
- 'type': 'scatter',
- 'x': [1, 2, 2, 7, 3, 3, 1, 1, 7, 1, 10, 1, 1, 1, 5, 4, 6, 6, 1, 5,
- 4, 2, 2, 5, 2, 4, 4, 5, 3, 3, 6, 6, 6, 4, 4, 4, 1, 1, 1, 5, 1,
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- 2, 4, 3, 7, 1, 4, 4, 5, 5, 3, 4, 4, 3, 4, 5, 8, 2, 7, 8, 3, 1,
- 4, 10, 4, 8, 1, 4, 4, 7, 4, 3, 9, 8, 6, 7, 4, 4, 2, 5, 7, 1, 4,
- 7, 4, 11, 3, 7, 3, 3, 6, 4, 7, 4, 6, 1, 4, 4, 5, 5, 4, 2, 2, 5,
- 4, 3, 4, 4, 2, 3, 5, 6, 8, 3, 2, 1, 4],
- 'y': [0.0374147891998291, 0.04090070724487305,
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- 0.03738522529602051, 0.035141706466674805,
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- 0.00031113624572753906, 0.03602933883666992,
- 0.03991818428039551, 0.03661322593688965, 0.0404052734375,
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- 0.0004558563232421875, 0.034009456634521484,
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- 0.03586864471435547, 0.03837728500366211,
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- 0.03706836700439453, 0.03772902488708496, 0.03872370719909668,
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- 0.038036346435546875, 0.0004067420959472656,
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- 0.03949761390686035, 0.00039005279541015625,
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- {'mode': 'markers',
- 'name': 'Sample 7',
- 'type': 'scatter',
- 'x': [1, 2, 2, ..., 2, 1, 4],
- 'y': [0.04157614707946777, 0.04178762435913086, 0.04218626022338867,
- ..., 0.05496931076049805, 0.0005342960357666016,
- 0.0005674362182617188]},
- {'mode': 'markers',
- 'name': 'Sample 6',
- 'type': 'scatter',
- 'x': [1, 2, 2, ..., 2, 1, 4],
- 'y': [0.0005891323089599609, 0.028038740158081055,
- 0.000392913818359375, ..., 0.028148651123046875,
- 0.0002646446228027344, 0.03060460090637207]},
- {'mode': 'markers',
- 'name': 'Sample 7',
- 'type': 'scatter',
- 'x': [1, 2, 2, 7, 3, 3, 2, 5, 1, 4, 8, 8, 1, 10, 4, 8, 4, 4, 4, 3,
- 3, 6, 3, 2, 10, 5, 7, 4, 4, 9, 3, 4, 14, 7, 3, 7, 1, 1, 13, 3,
- 4, 13, 9, 1, 3, 5, 7, 5, 6, 4, 2, 11, 4, 11, 13, 3, 7, 1, 4, 5,
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- 8, 4, 5, 6, 3, 2, 10, 10, 9, 3, 4, 13, 3, 5, 2, 8, 10, 8, 4, 4,
- 4, 7, 1, 3, 10, 3, 8, 5, 3, 5, 4, 8, 4, 11, 12, 7, 5, 3, 3, 4,
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- 0.00025725364685058594, 0.028192996978759766,
- 0.029308080673217773, 0.0002727508544921875,
- 0.00022745132446289062, 0.02719902992248535,
- 0.028658628463745117, 0.00021576881408691406,
- 0.028740644454956055, 0.029018640518188477,
- 0.02878594398498535, 0.029675960540771484,
- 0.00026917457580566406, 0.026999235153198242,
- 0.0003249645233154297, 0.02818155288696289,
- 0.028641462326049805, 0.10118842124938965,
- 0.0002884864807128906, 0.020873546600341797,
- 0.0002846717834472656, 0.00028228759765625,
- 0.02573394775390625, 0.0002808570861816406,
- 0.0002586841583251953, 0.02629709243774414,
- 0.026124000549316406, 0.026563167572021484, 0.0261533260345459,
- 0.00021386146545410156, 0.027230501174926758,
- 0.025519132614135742, 0.00022077560424804688,
- 0.029922962188720703, 0.028708934783935547,
- 0.03158760070800781, 0.0256502628326416, 0.02868175506591797,
- 0.03081512451171875, 0.02991509437561035, 0.028234243392944336,
- 0.00022482872009277344, 0.00021791458129882812,
- 0.03341245651245117, 0.026630640029907227,
- 0.034381866455078125, 0.02265191078186035,
- 0.00022912025451660156, 0.0002181529998779297,
- 0.028269529342651367, 0.028667688369750977,
- 0.09629225730895996, 0.0002498626708984375, 0.02581787109375]},
- {'mode': 'markers', 'name': 'Sample 6', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 7', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 6', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 7', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 6', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 7', 'type': 'scatter', 'x': [], 'y': []}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_sizes'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times'}}}
-})",Scatter plot of chunk_sizes and chunk_generation_times for japanese|json
-gpt-3.5-turbo,japanese,json,"chunk_sizes, chunk_generation_times",./html/plots/japanese|json_hist2d.html,"Figure({
- 'data': [{'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
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- '#31688e'], [0.4444444444444444, '#26828e'],
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 6',
- 'type': 'histogram2d',
- 'x': [2, 1, 7, ..., 1, 2, 1],
- 'y': [0.055197715759277344, 0.0009396076202392578,
- 0.0006830692291259766, ..., 0.0014231204986572266,
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 7',
- 'type': 'histogram2d',
- 'x': [2, 1, 7, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1,
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- 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 6',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
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- '#35b779'], [0.7777777777777778, '#6ece58'],
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- 'name': 'Sample 7',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
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- '#35b779'], [0.7777777777777778, '#6ece58'],
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- 'name': 'Sample 6',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 7',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
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- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 6',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, 7, 3, 3, 1, 1, 7, 1, 10, 1, 1, 1, 5, 4, 6, 6, 1, 5,
- 4, 2, 2, 5, 2, 4, 4, 5, 3, 3, 6, 6, 6, 4, 4, 4, 1, 1, 1, 5, 1,
- 4, 7, 10, 4, 11, 1, 4, 4, 1, 1, 1, 7, 5, 8, 4, 7, 1, 4, 7, 4,
- 2, 4, 3, 7, 1, 4, 4, 5, 5, 3, 4, 4, 3, 4, 5, 8, 2, 7, 8, 3, 1,
- 4, 10, 4, 8, 1, 4, 4, 7, 4, 3, 9, 8, 6, 7, 4, 4, 2, 5, 7, 1, 4,
- 7, 4, 11, 3, 7, 3, 3, 6, 4, 7, 4, 6, 1, 4, 4, 5, 5, 4, 2, 2, 5,
- 4, 3, 4, 4, 2, 3, 5, 6, 8, 3, 2, 1, 4],
- 'y': [0.03869986534118652, 0.043004751205444336,
- 0.00023746490478515625, 0.0002467632293701172,
- 0.00020122528076171875, 0.0003426074981689453,
- 0.053154706954956055, 0.03165912628173828,
- 0.0004773139953613281, 0.042501211166381836,
- 0.03740859031677246, 0.0004487037658691406,
- 0.039716243743896484, 0.024188995361328125,
- 0.015808582305908203, 0.039473772048950195, 0.0413362979888916,
- 0.03700447082519531, 0.0006976127624511719,
- 0.0006911754608154297, 0.03827261924743652,
- 0.0006563663482666016, 0.0006587505340576172,
- 0.0005481243133544922, 0.000484466552734375,
- 0.04195404052734375, 0.03321409225463867,
- 0.0006468296051025391, 0.0005652904510498047,
- 0.0004239082336425781, 0.0003554821014404297,
- 0.038625478744506836, 0.03857254981994629, 0.0396275520324707,
- 0.0005147457122802734, 0.00044798851013183594,
- 0.00037169456481933594, 0.00036525726318359375,
- 0.0382380485534668, 0.0363466739654541, 0.0005929470062255859,
- 0.0005543231964111328, 0.0363004207611084,
- 0.038582801818847656, 0.00045108795166015625,
- 0.0004200935363769531, 0.03947782516479492,
- 0.03898191452026367, 0.03807568550109863, 0.040009260177612305,
- 0.050412893295288086, 0.008788108825683594,
- 0.0045108795166015625, 0.010632514953613281,
- 0.009697198867797852, 0.0005762577056884766,
- 0.0003840923309326172, 0.00035452842712402344,
- 0.03606843948364258, 0.0004839897155761719,
- 0.03685784339904785, 0.03954815864562988, 0.04077482223510742,
- 0.0390017032623291, 0.0005624294281005859,
- 0.0005118846893310547, 0.03818011283874512,
- 0.04066872596740723, 0.0006306171417236328,
- 0.03478288650512695, 0.0006933212280273438,
- 0.037526845932006836, 0.0006170272827148438,
- 0.037982940673828125, 0.038207292556762695,
- 0.0005283355712890625, 0.00026988983154296875,
- 0.03900432586669922, 0.0002949237823486328,
- 0.03900599479675293, 0.00043773651123046875,
- 0.0004506111145019531, 0.00031375885009765625,
- 0.0002963542938232422, 0.038353919982910156,
- 0.0003428459167480469, 0.04000353813171387,
- 0.00033664703369140625, 0.00031638145446777344,
- 0.0002758502960205078, 0.00028443336486816406,
- 0.03551983833312988, 0.00032210350036621094,
- 0.038173675537109375, 0.0003707408905029297,
- 0.03962898254394531, 0.0003638267517089844,
- 0.00033020973205566406, 0.037863969802856445,
- 0.03859996795654297, 0.0002655982971191406,
- 0.00047588348388671875, 0.00028705596923828125,
- 0.00028967857360839844, 0.03859305381774902,
- 0.03870439529418945, 0.0383298397064209, 0.0005888938903808594,
- 0.03807711601257324, 0.0408475399017334, 0.0005800724029541016,
- 0.010557889938354492, 0.029239416122436523,
- 0.004605531692504883, 0.004629611968994141,
- 0.0025429725646972656, 0.0024819374084472656,
- 0.02160787582397461, 0.014202117919921875,
- 0.0009098052978515625, 0.00048470497131347656,
- 0.021135568618774414, 0.0004534721374511719,
- 0.0005559921264648438, 0.03784322738647461,
- 0.0006258487701416016, 0.0005452632904052734,
- 0.0004410743713378906, 0.0005164146423339844,
- 0.0379486083984375, 0.0010063648223876953, 0.04070281982421875,
- 0.0003714561462402344, 0.03896689414978027,
- 0.03862285614013672, 0.0007507801055908203,
- 0.03968453407287598]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 7',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, ..., 2, 1, 4],
- 'y': [0.04017806053161621, 0.036365509033203125,
- 0.03893852233886719, ..., 0.045708656311035156,
- 0.0005433559417724609, 0.0005311965942382812]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 6',
- 'type': 'histogram2d',
- 'x': [2, 1, 7, ..., 1, 2, 1],
- 'y': [0.0026655197143554688, 0.0007488727569580078,
- 0.0007848739624023438, ..., 0.01340627670288086,
- 0.0009033679962158203, 0.0009148120880126953]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 7',
- 'type': 'histogram2d',
- 'x': [2, 1, 7, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1,
- 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1],
- 'y': [0.04886674880981445, 0.0005388259887695312,
- 0.0004487037658691406, 0.07080817222595215,
- 0.0011026859283447266, 0.0009558200836181641,
- 0.11839747428894043, 0.0010056495666503906,
- 0.0010018348693847656, 0.0645291805267334,
- 0.0014979839324951172, 0.0014078617095947266,
- 0.07069730758666992, 0.0008242130279541016,
- 0.0007991790771484375, 0.08647751808166504,
- 0.0009322166442871094, 0.0008161067962646484,
- 0.07274055480957031, 0.0009925365447998047,
- 0.0010166168212890625, 0.0548558235168457,
- 0.000789642333984375, 0.0007739067077636719,
- 0.05077767372131348, 0.001013040542602539,
- 0.0010120868682861328, 0.056079864501953125,
- 0.0011191368103027344, 0.0009915828704833984,
- 0.06196451187133789, 0.0010242462158203125,
- 0.000995635986328125, 0.09043741226196289,
- 0.0007801055908203125, 0.0008068084716796875,
- 0.06347441673278809, 0.001008749008178711,
- 0.0009949207305908203, 0.08131146430969238,
- 0.0011577606201171875, 0.0010023117065429688,
- 0.05188250541687012, 0.000949859619140625,
- 0.0009284019470214844, 0.07043075561523438,
- 0.0005939006805419922, 0.0005850791931152344,
- 0.08553290367126465, 0.0010306835174560547,
- 0.0009737014770507812, 0.11514043807983398,
- 0.0011196136474609375, 0.0009911060333251953,
- 0.08492898941040039, 0.0009539127349853516,
- 0.0009353160858154297, 0.208726167678833, 0.001028299331665039,
- 0.0009560585021972656, 0.0011038780212402344,
- 0.0009496212005615234, 0.0009336471557617188,
- 0.0010395050048828125, 0.0010132789611816406,
- 0.0008792877197265625, 0.025906801223754883,
- 0.0009763240814208984, 0.0009398460388183594,
- 0.06861305236816406, 0.0009829998016357422,
- 0.0009448528289794922, 0.05578875541687012,
- 0.0009789466857910156, 0.0009624958038330078,
- 0.06972575187683105, 0.0011608600616455078,
- 0.0009870529174804688, 0.05199313163757324,
- 0.001013040542602539, 0.0010483264923095703,
- 0.04791879653930664, 0.0010175704956054688,
- 0.0009944438934326172, 0.06349015235900879,
- 0.000978708267211914, 0.0009477138519287109,
- 0.05552339553833008, 0.0010945796966552734,
- 0.0009515285491943359, 0.08082318305969238,
- 0.0010082721710205078, 0.0009577274322509766,
- 0.031322479248046875, 0.0009741783142089844,
- 0.0009694099426269531, 0.0664360523223877,
- 0.0009844303131103516, 0.0009799003601074219,
- 0.06997084617614746, 0.0011143684387207031,
- 0.000986337661743164, 0.08256149291992188,
- 0.0006356239318847656, 0.000514984130859375,
- 0.06774592399597168, 0.0009982585906982422,
- 0.0009937286376953125, 0.04579758644104004,
- 0.0007452964782714844, 0.0007724761962890625,
- 0.055381059646606445, 0.0011832714080810547,
- 0.0010380744934082031, 0.044104576110839844,
- 0.000989675521850586, 0.0009827613830566406,
- 0.015392541885375977, 0.0010585784912109375,
- 0.0009658336639404297]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 6',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, 7, 3, 3, 1, 1, 7, 1, 10, 1, 1, 1, 5, 4, 6, 6, 1, 5,
- 4, 2, 2, 5, 2, 4, 4, 5, 3, 3, 6, 6, 6, 4, 4, 4, 1, 1, 1, 5, 1,
- 4, 7, 10, 4, 11, 1, 4, 4, 1, 1, 1, 7, 5, 8, 4, 7, 1, 4, 7, 4,
- 2, 4, 3, 7, 1, 4, 4, 5, 5, 3, 4, 4, 3, 4, 5, 8, 2, 7, 8, 3, 1,
- 4, 10, 4, 8, 1, 4, 4, 7, 4, 3, 9, 8, 6, 7, 4, 4, 2, 5, 7, 1, 4,
- 7, 4, 11, 3, 7, 3, 3, 6, 4, 7, 4, 6, 1, 4, 4, 5, 5, 4, 2, 2, 5,
- 4, 3, 4, 4, 2, 3, 5, 6, 8, 3, 2, 1, 4],
- 'y': [0.0374147891998291, 0.04090070724487305,
- 0.00042247772216796875, 0.0004055500030517578,
- 0.0003879070281982422, 0.0003826618194580078,
- 0.03738522529602051, 0.035141706466674805,
- 0.000377655029296875, 0.03989863395690918, 0.03813529014587402,
- 0.0003743171691894531, 0.039191484451293945,
- 0.00031113624572753906, 0.03602933883666992,
- 0.03991818428039551, 0.03661322593688965, 0.0404052734375,
- 0.0004031658172607422, 0.00034236907958984375,
- 0.03717446327209473, 0.00037980079650878906,
- 0.00039386749267578125, 0.0004992485046386719,
- 0.0005602836608886719, 0.0393519401550293, 0.0430452823638916,
- 0.0005679130554199219, 0.0005729198455810547,
- 0.0005605220794677734, 0.0005788803100585938,
- 0.03394007682800293, 0.04070401191711426, 0.04027724266052246,
- 0.00040411949157714844, 0.00041103363037109375,
- 0.0003845691680908203, 0.00037169456481933594,
- 0.03594017028808594, 0.03814506530761719,
- 0.0004017353057861328, 0.0005345344543457031,
- 0.03743171691894531, 0.04314613342285156,
- 0.00040149688720703125, 0.0003914833068847656,
- 0.036397457122802734, 0.03921771049499512,
- 0.040355682373046875, 0.038083791732788086,
- 0.03856301307678223, 0.00040435791015625,
- 0.00039887428283691406, 0.0003762245178222656,
- 0.0003719329833984375, 0.037155866622924805,
- 0.0004096031188964844, 0.0004162788391113281,
- 0.04147195816040039, 0.0003693103790283203,
- 0.03358149528503418, 0.03837752342224121, 0.040155649185180664,
- 0.03923511505126953, 0.00037026405334472656,
- 0.00037026405334472656, 0.03759884834289551,
- 0.038451433181762695, 0.00042176246643066406,
- 0.039743661880493164, 0.0004115104675292969,
- 0.036360979080200195, 0.00040602684020996094,
- 0.0376284122467041, 0.0381472110748291, 0.00038504600524902344,
- 0.0003771781921386719, 0.0426483154296875,
- 0.0004558563232421875, 0.034009456634521484,
- 0.0003936290740966797, 0.0003859996795654297,
- 0.0005438327789306641, 0.0003647804260253906,
- 0.037825822830200195, 0.00039768218994140625,
- 0.03804373741149902, 0.0002932548522949219,
- 0.00028586387634277344, 0.00026679039001464844,
- 0.0002560615539550781, 0.03818964958190918,
- 0.00039505958557128906, 0.037637948989868164,
- 0.0004017353057861328, 0.03745698928833008,
- 0.0005669593811035156, 0.0005295276641845703,
- 0.03586864471435547, 0.03837728500366211,
- 0.0004191398620605469, 0.0004086494445800781,
- 0.0003762245178222656, 0.0003886222839355469,
- 0.03706836700439453, 0.03772902488708496, 0.03872370719909668,
- 0.0004105567932128906, 0.040213584899902344,
- 0.038036346435546875, 0.0004067420959472656,
- 0.00037980079650878906, 0.03699684143066406,
- 0.00044465065002441406, 0.0004792213439941406,
- 0.00036597251892089844, 0.0003561973571777344,
- 0.0356907844543457, 0.00038361549377441406,
- 0.0003750324249267578, 0.0003616809844970703,
- 0.0378108024597168, 0.00024628639221191406,
- 0.00022530555725097656, 0.04096174240112305,
- 0.0003178119659423828, 0.0002989768981933594,
- 0.0002865791320800781, 0.00027823448181152344,
- 0.03949761390686035, 0.00039005279541015625,
- 0.035582780838012695, 0.0003802776336669922,
- 0.03740501403808594, 0.039441585540771484,
- 0.00025582313537597656, 0.04109454154968262]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 7',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, ..., 2, 1, 4],
- 'y': [0.04157614707946777, 0.04178762435913086, 0.04218626022338867,
- ..., 0.05496931076049805, 0.0005342960357666016,
- 0.0005674362182617188]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 6',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, ..., 2, 1, 4],
- 'y': [0.0005891323089599609, 0.028038740158081055,
- 0.000392913818359375, ..., 0.028148651123046875,
- 0.0002646446228027344, 0.03060460090637207]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 7',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, 7, 3, 3, 2, 5, 1, 4, 8, 8, 1, 10, 4, 8, 4, 4, 4, 3,
- 3, 6, 3, 2, 10, 5, 7, 4, 4, 9, 3, 4, 14, 7, 3, 7, 1, 1, 13, 3,
- 4, 13, 9, 1, 3, 5, 7, 5, 6, 4, 2, 11, 4, 11, 13, 3, 7, 1, 4, 5,
- 3, 5, 4, 5, 10, 5, 6, 4, 4, 7, 4, 6, 3, 5, 7, 3, 8, 1, 5, 6, 5,
- 10, 12, 1, 8, 1, 5, 6, 4, 5, 5, 14, 4, 3, 4, 9, 9, 1, 3, 5, 5,
- 8, 4, 5, 6, 3, 2, 10, 10, 9, 3, 4, 13, 3, 5, 2, 8, 10, 8, 4, 4,
- 4, 7, 1, 3, 10, 3, 8, 5, 3, 5, 4, 8, 4, 11, 12, 7, 5, 3, 3, 4,
- 7, 1, 6, 3, 10, 3, 3, 4, 10, 3, 2, 1, 4],
- 'y': [0.00042819976806640625, 0.03467154502868652,
- 0.0003299713134765625, 0.00028133392333984375,
- 0.03508615493774414, 0.00026535987854003906,
- 0.035877227783203125, 0.03302454948425293,
- 0.0002193450927734375, 0.0343630313873291, 0.03423714637756348,
- 0.03492236137390137, 0.00028824806213378906,
- 0.0002722740173339844, 0.03366899490356445,
- 0.034956932067871094, 0.0353093147277832,
- 0.0003533363342285156, 0.03450322151184082,
- 0.035886287689208984, 0.0003857612609863281,
- 0.0004153251647949219, 0.0003695487976074219,
- 0.033544301986694336, 0.12114715576171875,
- 0.028534412384033203, 0.02881932258605957, 0.03152823448181152,
- 0.0004417896270751953, 0.0003998279571533203,
- 0.025934457778930664, 0.00039005279541015625,
- 0.0003876686096191406, 0.00036644935607910156,
- 0.028306007385253906, 0.029933691024780273,
- 0.028206586837768555, 0.00030112266540527344,
- 0.00030612945556640625, 0.0002853870391845703,
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- 0.00041174888610839844, 0.025601625442504883,
- 0.0004436969757080078, 0.025884151458740234,
- 0.00025177001953125, 0.025900840759277344,
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- 0.033258676528930664, 0.02091526985168457,
- 0.00032639503479003906, 0.02819061279296875,
- 0.032218217849731445, 0.032878875732421875,
- 0.025840282440185547, 0.0002834796905517578,
- 0.00027298927307128906, 0.024205446243286133,
- 0.028986692428588867, 0.028474807739257812,
- 0.02884078025817871, 0.029344558715820312, 0.00032806396484375,
- 0.8321197032928467, 0.11529827117919922,
- 0.00037670135498046875, 0.03618359565734863,
- 0.02410602569580078, 0.026417970657348633, 0.02703404426574707,
- 0.0002582073211669922, 0.0002529621124267578,
- 0.02537059783935547, 0.00023984909057617188,
- 0.0002999305725097656, 0.02795124053955078,
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- 0.00024199485778808594, 0.026572704315185547,
- 0.0002646446228027344, 0.030622005462646484,
- 0.027520179748535156, 0.0002906322479248047,
- 0.028397798538208008, 0.028812170028686523,
- 0.00024962425231933594, 0.028564929962158203,
- 0.00024700164794921875, 0.028349637985229492,
- 0.00022983551025390625, 0.00022292137145996094,
- 0.00021123886108398438, 0.02746129035949707,
- 0.00025725364685058594, 0.028192996978759766,
- 0.029308080673217773, 0.0002727508544921875,
- 0.00022745132446289062, 0.02719902992248535,
- 0.028658628463745117, 0.00021576881408691406,
- 0.028740644454956055, 0.029018640518188477,
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- 0.028641462326049805, 0.10118842124938965,
- 0.0002884864807128906, 0.020873546600341797,
- 0.0002846717834472656, 0.00028228759765625,
- 0.02573394775390625, 0.0002808570861816406,
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- 0.026124000549316406, 0.026563167572021484, 0.0261533260345459,
- 0.00021386146545410156, 0.027230501174926758,
- 0.025519132614135742, 0.00022077560424804688,
- 0.029922962188720703, 0.028708934783935547,
- 0.03158760070800781, 0.0256502628326416, 0.02868175506591797,
- 0.03081512451171875, 0.02991509437561035, 0.028234243392944336,
- 0.00022482872009277344, 0.00021791458129882812,
- 0.03341245651245117, 0.026630640029907227,
- 0.034381866455078125, 0.02265191078186035,
- 0.00022912025451660156, 0.0002181529998779297,
- 0.028269529342651367, 0.028667688369750977,
- 0.09629225730895996, 0.0002498626708984375, 0.02581787109375]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 6',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 7',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 6',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 7',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 6',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 7',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []}],
- 'layout': {'coloraxis': {'colorbar': {'title': {'text': 'frequency'}}},
- 'template': '...',
- 'xaxis': {'title': {'text': 'chunk_sizes'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times'}}}
-})",2D histogram of chunk_sizes and chunk_generation_times for japanese|json
diff --git a/data/2024-01-22 12:15:16.239311chunk_plots.csv b/data/2024-01-22 12:15:16.239311chunk_plots.csv
deleted file mode 100644
index 2a2fe3c8cea35240753e4b8267d05ccc62184edb..0000000000000000000000000000000000000000
--- a/data/2024-01-22 12:15:16.239311chunk_plots.csv
+++ /dev/null
@@ -1,6168 +0,0 @@
-model,language,template_name,column,path,plot_object,description
-gpt-3.5-turbo,japanese,json,chunk_sizes,./html/plots/japanese|json_chunk_sizes.html,"Figure({
- 'data': [{'type': 'scatter',
- 'x': [0, 1, 2, ..., 341, 342, 343],
- 'y': [1.4, 1.6, 4.0, ..., 1.0, 2.0, 1.0]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_index'}},
- 'yaxis': {'title': {'text': 'chunk_sizes'}}}
-})",Plot of chunk_sizes for japanese|json
-gpt-3.5-turbo,japanese,json,chunk_sizes,./html/plots/japanese|json_chunk_sizes_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
- 'x': [2, 1, 7, ..., 2, 1, 4]}],
- 'layout': {'template': '...', 'xaxis': {'title': {'text': 'chunk_sizes'}}, 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_sizes for japanese|json
-gpt-3.5-turbo,japanese,markdown,chunk_sizes,./html/plots/japanese|markdown_chunk_sizes.html,"Figure({
- 'data': [{'type': 'scatter',
- 'x': [0, 1, 2, ..., 768, 769, 770],
- 'y': [1.3, 2.6, 1.6, ..., 1.0, 1.0, 4.0]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_index'}},
- 'yaxis': {'title': {'text': 'chunk_sizes'}}}
-})",Plot of chunk_sizes for japanese|markdown
-gpt-3.5-turbo,japanese,markdown,chunk_sizes,./html/plots/japanese|markdown_chunk_sizes_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
- 'x': [1, 1, 1, ..., 1, 1, 4]}],
- 'layout': {'template': '...', 'xaxis': {'title': {'text': 'chunk_sizes'}}, 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_sizes for japanese|markdown
-gpt-3.5-turbo,english,markdown,chunk_sizes,./html/plots/english|markdown_chunk_sizes.html,"Figure({
- 'data': [{'type': 'scatter',
- 'x': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
- 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,
- 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
- 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65,
- 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81,
- 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97,
- 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110,
- 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122,
- 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134,
- 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146,
- 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158,
- 159, 160, 161, 162, 163, 164, 165, 166, 167],
- 'y': [2.65, 3.95, 4.9, 5.0, 5.8, 3.3, 4.7, 5.2, 5.85, 5.2, 4.9, 5.4,
- 4.8, 4.6, 6.6, 4.75, 7.05, 5.5, 4.05, 3.15, 3.65, 2.75, 4.1,
- 4.05, 3.8, 4.15, 3.3, 6.0, 4.6, 3.85, 4.4, 3.55, 3.3, 2.85,
- 2.95, 2.7, 1.95, 2.9, 3.45, 3.0, 3.4, 4.25, 3.95, 3.35, 3.7,
- 2.1, 3.65, 3.3, 3.35, 2.3, 2.75, 4.35, 2.15, 3.0, 3.05, 3.65,
- 4.1, 3.1, 3.0, 3.6, 3.8, 3.55, 2.7, 3.35, 3.0, 4.45, 3.05,
- 3.25, 4.6, 3.8, 4.6, 3.9473684210526314, 3.6315789473684212,
- 3.0, 3.4210526315789473, 3.5789473684210527, 3.789473684210526,
- 3.5789473684210527, 4.526315789473684, 3.1052631578947367,
- 4.052631578947368, 3.736842105263158, 3.7777777777777777,
- 4.388888888888889, 3.0, 4.166666666666667, 2.7777777777777777,
- 2.888888888888889, 2.7777777777777777, 3.411764705882353,
- 4.647058823529412, 3.8823529411764706, 4.4, 3.8181818181818183,
- 4.090909090909091, 5.2727272727272725, 4.0, 3.5, 4.1, 4.25,
- 3.0, 2.5, 1.0, 5.0, 1.0, 3.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0,
- 1.0, 1.0, 2.0, 1.0, 1.0, 4.0, 9.0, 1.0, 5.0, 4.0, 12.0, 3.0,
- 9.0, 3.0, 3.0, 1.0, 1.0, 1.0, 1.0, 2.0, 3.0, 6.0, 1.0, 4.0,
- 6.0, 1.0, 3.0, 3.0, 4.0, 3.0, 3.0, 3.0, 5.0, 3.0, 4.0, 5.0,
- 6.0, 5.0, 1.0, 2.0, 2.0, 6.0, 9.0, 3.0, 5.0, 4.0, 5.0, 8.0,
- 5.0, 4.0, 7.0, 8.0, 6.0, 3.0, 1.0, 4.0]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_index'}},
- 'yaxis': {'title': {'text': 'chunk_sizes'}}}
-})",Plot of chunk_sizes for english|markdown
-gpt-3.5-turbo,english,markdown,chunk_sizes,./html/plots/english|markdown_chunk_sizes_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
- 'x': [3, 4, 7, ..., 3, 4, 9]}],
- 'layout': {'template': '...', 'xaxis': {'title': {'text': 'chunk_sizes'}}, 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_sizes for english|markdown
-gpt-3.5-turbo,english,json,chunk_sizes,./html/plots/english|json_chunk_sizes.html,"Figure({
- 'data': [{'type': 'scatter',
- 'x': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
- 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,
- 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
- 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65,
- 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81,
- 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93],
- 'y': [1.4, 1.65, 2.8, 4.6, 3.55, 2.6, 3.0, 4.65, 4.25, 5.2, 5.1,
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- 2.6, 4.65, 3.4, 4.1, 3.85, 4.3, 3.6, 3.0, 3.4, 3.6, 3.6, 3.45,
- 3.0, 3.789473684210526, 1.9473684210526316, 3.1578947368421053,
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- 3.888888888888889, 4.055555555555555, 3.6470588235294117,
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- 3.1176470588235294, 3.8823529411764706, 3.8823529411764706,
- 3.75, 4.875, 3.8125, 4.0625, 3.3125, 4.5625, 2.875, 2.8125,
- 4.0, 2.75, 3.8333333333333335, 2.909090909090909,
- 3.3636363636363638, 2.4545454545454546, 2.272727272727273,
- 1.7777777777777777, 3.142857142857143, 3.142857142857143,
- 3.4285714285714284, 1.7142857142857142, 4.0]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_index'}},
- 'yaxis': {'title': {'text': 'chunk_sizes'}}}
-})",Plot of chunk_sizes for english|json
-gpt-3.5-turbo,english,json,chunk_sizes,./html/plots/english|json_chunk_sizes_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
- 'x': [2, 1, 7, ..., 1, 1, 1]}],
- 'layout': {'template': '...', 'xaxis': {'title': {'text': 'chunk_sizes'}}, 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_sizes for english|json
-gpt-3.5-turbo,japanese,json,chunk_generation_times,./html/plots/japanese|json_chunk_generation_times.html,"Figure({
- 'data': [{'type': 'scatter',
- 'x': [0, 1, 2, ..., 341, 342, 343],
- 'y': [0.03325941562652588, 0.022845458984375, 0.008539342880249023,
- ..., 0.01340627670288086, 0.0009033679962158203,
- 0.0009148120880126953]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_index'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times'}}}
-})",Plot of chunk_generation_times for japanese|json
-gpt-3.5-turbo,japanese,json,chunk_generation_times,./html/plots/japanese|json_chunk_generation_times_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
- 'x': [0.055197715759277344, 0.0009396076202392578,
- 0.0006830692291259766, ..., 0.09629225730895996,
- 0.0002498626708984375, 0.02581787109375]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_generation_times'}},
- 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_generation_times for japanese|json
-gpt-3.5-turbo,japanese,markdown,chunk_generation_times,./html/plots/japanese|markdown_chunk_generation_times.html,"Figure({
- 'data': [{'type': 'scatter',
- 'x': [0, 1, 2, ..., 768, 769, 770],
- 'y': [0.10856695175170898, 0.027323269844055177,
- 0.0005894899368286133, ..., 0.027635812759399414,
- 0.035398006439208984, 0.0004639625549316406]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_index'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times'}}}
-})",Plot of chunk_generation_times for japanese|markdown
-gpt-3.5-turbo,japanese,markdown,chunk_generation_times,./html/plots/japanese|markdown_chunk_generation_times_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
- 'x': [0.09664440155029297, 0.0009276866912841797,
- 0.0006921291351318359, ..., 0.027635812759399414,
- 0.035398006439208984, 0.0004639625549316406]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_generation_times'}},
- 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_generation_times for japanese|markdown
-gpt-3.5-turbo,english,markdown,chunk_generation_times,./html/plots/english|markdown_chunk_generation_times.html,"Figure({
- 'data': [{'type': 'scatter',
- 'x': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
- 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,
- 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
- 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65,
- 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81,
- 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97,
- 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110,
- 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122,
- 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134,
- 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146,
- 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158,
- 159, 160, 161, 162, 163, 164, 165, 166, 167],
- 'y': [0.09208251237869262, 0.026124024391174318,
- 0.01616170406341553, 0.02852156162261963, 0.014723885059356689,
- 0.020538461208343507, 0.029323899745941163,
- 0.016685795783996583, 0.01502150297164917,
- 0.032468545436859134, 0.023004639148712158,
- 0.018346405029296874, 0.024369895458221436,
- 0.02129126787185669, 0.02636735439300537, 0.028070759773254395,
- 0.015048229694366455, 0.018386292457580566,
- 0.024474453926086426, 0.02241969108581543, 0.02212299108505249,
- 0.02697488069534302, 0.018822431564331055,
- 0.022496461868286133, 0.02287602424621582,
- 0.014856135845184327, 0.018757724761962892, 0.0360129714012146,
- 0.02094881534576416, 0.020023763179779053,
- 0.023487961292266844, 0.02022104263305664,
- 0.021625709533691407, 0.026040089130401612,
- 0.01464219093322754, 0.020658397674560548,
- 0.022537052631378174, 0.02016826868057251,
- 0.023719727993011475, 0.021998834609985352,
- 0.014762508869171142, 0.020593512058258056,
- 0.031562745571136475, 0.01942124366760254,
- 0.018172550201416015, 0.026357293128967285,
- 0.014737892150878906, 0.02184560298919678, 0.02521200180053711,
- 0.0145959734916687, 0.019272708892822267, 0.02345912456512451,
- 0.018707871437072754, 0.02064570188522339,
- 0.026726770401000976, 0.014578986167907714,
- 0.02704044580459595, 0.0275115966796875, 0.017576706409454346,
- 0.02309427261352539, 0.021034085750579835, 0.02014453411102295,
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-})",Plot of chunk_generation_times for english|markdown
-gpt-3.5-turbo,english,markdown,chunk_generation_times,./html/plots/english|markdown_chunk_generation_times_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
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- 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_generation_times for english|markdown
-gpt-3.5-turbo,english,json,chunk_generation_times,./html/plots/english|json_chunk_generation_times.html,"Figure({
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-})",Plot of chunk_generation_times for english|json
-gpt-3.5-turbo,english,json,chunk_generation_times,./html/plots/english|json_chunk_generation_times_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
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- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_generation_times'}},
- 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_generation_times for english|json
-gpt-3.5-turbo,japanese,json,chunk_generation_times_by_chunk_sizes,./html/plots/japanese|json_chunk_generation_times_by_chunk_sizes.html,"Figure({
- 'data': [{'type': 'scatter',
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- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_index'}},
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-})",Plot of chunk_generation_times_by_chunk_sizes for japanese|json
-gpt-3.5-turbo,japanese,json,chunk_generation_times_by_chunk_sizes,./html/plots/japanese|json_chunk_generation_times_by_chunk_sizes_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
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- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_generation_times_by_chunk_sizes'}},
- 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_generation_times_by_chunk_sizes for japanese|json
-gpt-3.5-turbo,japanese,markdown,chunk_generation_times_by_chunk_sizes,./html/plots/japanese|markdown_chunk_generation_times_by_chunk_sizes.html,"Figure({
- 'data': [{'type': 'scatter',
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- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_index'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times_by_chunk_sizes'}}}
-})",Plot of chunk_generation_times_by_chunk_sizes for japanese|markdown
-gpt-3.5-turbo,japanese,markdown,chunk_generation_times_by_chunk_sizes,./html/plots/japanese|markdown_chunk_generation_times_by_chunk_sizes_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
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- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_generation_times_by_chunk_sizes'}},
- 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_generation_times_by_chunk_sizes for japanese|markdown
-gpt-3.5-turbo,english,markdown,chunk_generation_times_by_chunk_sizes,./html/plots/english|markdown_chunk_generation_times_by_chunk_sizes.html,"Figure({
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- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_index'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times_by_chunk_sizes'}}}
-})",Plot of chunk_generation_times_by_chunk_sizes for english|markdown
-gpt-3.5-turbo,english,markdown,chunk_generation_times_by_chunk_sizes,./html/plots/english|markdown_chunk_generation_times_by_chunk_sizes_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
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- 4.538467952183315e-05, ..., 3.7348230278451834e-05,
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- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_generation_times_by_chunk_sizes'}},
- 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_generation_times_by_chunk_sizes for english|markdown
-gpt-3.5-turbo,english,json,chunk_generation_times_by_chunk_sizes,./html/plots/english|json_chunk_generation_times_by_chunk_sizes.html,"Figure({
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- 7.726775757721345e-05, 0.00010199303274006767,
- 8.038324391604707e-05, 0.00010754656963653864,
- 9.890817006997501e-05, 9.641565009028522e-05,
- 9.889980322311977e-05, 0.00011965482689836298,
- 0.00011026073189590966, 7.68795829726359e-05,
- 8.488755457789014e-05, 9.2034010611518e-05,
- 9.30288186306384e-05, 0.00010473556974214237,
- 9.396757780640082e-05, 7.280453944623646e-05,
- 9.839988391097912e-05, 6.629642442848702e-05,
- 7.012915942254425e-05, 0.00011638762448193335,
- 7.01056800013593e-05, 6.539925829258799e-05,
- 9.312883553243395e-05, 6.794533329217034e-05,
- 8.297807489765248e-05, 9.471462087460092e-05,
- 6.133946290140733e-05, 7.026849327649994e-05,
- 5.961504138096624e-05, 6.563258693968294e-05,
- 6.383154896123252e-05, 9.528001542696267e-05,
- 6.246172585711863e-05, 6.181504461999184e-05,
- 7.949675912702044e-05, 6.619173043054431e-05,
- 6.797917138507241e-05, 7.434168847616238e-05,
- 7.122499242952558e-05, 5.27404402561244e-05]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_index'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times_by_chunk_sizes'}}}
-})",Plot of chunk_generation_times_by_chunk_sizes for english|json
-gpt-3.5-turbo,english,json,chunk_generation_times_by_chunk_sizes,./html/plots/english|json_chunk_generation_times_by_chunk_sizes_histogram.html,"Figure({
- 'data': [{'type': 'histogram',
- 'x': [0.03265190124511719, 0.0003636678059895833,
- 9.443759918212891e-05, ..., 5.2354116549437074e-05,
- 3.553529865079076e-05, 4.5464379446847095e-05]}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_generation_times_by_chunk_sizes'}},
- 'yaxis': {'title': {'text': 'frequency'}}}
-})",Histogram of chunk_generation_times_by_chunk_sizes for english|json
-gpt-3.5-turbo,japanese,json,"chunk_sizes, chunk_generation_times",./html/plots/japanese|json_scatter.html,"Figure({
- 'data': [{'mode': 'markers',
- 'name': 'Sample 6',
- 'type': 'scatter',
- 'x': [2, 1, 7, ..., 1, 2, 1],
- 'y': [0.055197715759277344, 0.0009396076202392578,
- 0.0006830692291259766, ..., 0.0014231204986572266,
- 0.001180410385131836, 0.0013620853424072266]},
- {'mode': 'markers',
- 'name': 'Sample 7',
- 'type': 'scatter',
- 'x': [2, 1, 7, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1,
- 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 2, 1],
- 'y': [0.06697797775268555, 0.0014584064483642578,
- 0.0009691715240478516, 0.05404186248779297,
- 0.0013899803161621094, 0.0010700225830078125,
- 0.14432930946350098, 0.0012371540069580078,
- 0.0010542869567871094, 0.08168625831604004,
- 0.0014157295227050781, 0.001219034194946289,
- 0.07998824119567871, 0.001378774642944336,
- 0.0009958744049072266, 0.10132598876953125,
- 0.0012145042419433594, 0.0010390281677246094,
- 0.10170602798461914, 0.0012950897216796875,
- 0.0011432170867919922, 0.056665897369384766,
- 0.0013267993927001953, 0.0011022090911865234,
- 0.11384272575378418, 0.0038230419158935547,
- 0.0013895034790039062, 0.09027528762817383,
- 0.0015261173248291016, 0.001251220703125, 0.036144256591796875,
- 0.0013728141784667969, 0.0012068748474121094,
- 0.06218981742858887, 0.0013740062713623047,
- 0.0011203289031982422, 0.0775759220123291,
- 0.0011496543884277344, 0.0007040500640869141,
- 0.10207033157348633, 0.0009393692016601562,
- 0.000759124755859375, 0.07756447792053223,
- 0.0007758140563964844, 0.0006396770477294922,
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- 0.07465744018554688, 0.0012285709381103516,
- 0.0010449886322021484, 0.14463090896606445,
- 0.0009891986846923828, 0.0006489753723144531,
- 0.039525747299194336, 0.0012309551239013672,
- 0.0009729862213134766, 0.05274152755737305,
- 0.0007808208465576172, 0.0007002353668212891,
- 0.05904412269592285, 0.0012798309326171875,
- 0.0011372566223144531, 0.10260987281799316,
- 0.001046895980834961, 0.0006575584411621094,
- 0.1006014347076416, 0.0016293525695800781,
- 0.0014569759368896484, 0.07789874076843262,
- 0.0010578632354736328, 0.0008628368377685547,
- 0.07964730262756348, 0.0012199878692626953,
- 0.0010557174682617188, 0.06801176071166992,
- 0.0013911724090576172, 0.0009474754333496094,
- 0.08162856101989746, 0.0011453628540039062,
- 0.0009865760803222656, 0.05555105209350586,
- 0.0009434223175048828, 0.0006420612335205078,
- 0.12253999710083008, 0.0008087158203125, 0.0006480216979980469,
- 0.05822420120239258, 0.0009808540344238281,
- 0.0007011890411376953, 0.10007572174072266,
- 0.0007224082946777344, 0.0006184577941894531,
- 0.07929587364196777, 0.0007905960083007812,
- 0.0006451606750488281, 0.08364462852478027,
- 0.0011463165283203125, 0.0009768009185791016,
- 0.07266783714294434, 0.0010724067687988281,
- 0.0006754398345947266, 0.06090974807739258,
- 0.0008637905120849609, 0.0006475448608398438,
- 0.06134653091430664, 0.0008113384246826172,
- 0.0006392002105712891, 0.08251190185546875,
- 0.0008254051208496094, 0.0006573200225830078,
- 0.06102943420410156, 0.0010004043579101562,
- 0.0006453990936279297, 0.07877850532531738,
- 0.0008428096771240234, 0.000637054443359375,
- 0.06731772422790527, 0.0011966228485107422,
- 0.0009090900421142578, 0.08094406127929688,
- 0.0009121894836425781, 0.0007109642028808594,
- 0.07857203483581543, 0.0009610652923583984,
- 0.0005655288696289062, 0.0584874153137207,
- 0.0008380413055419922, 0.0006849765777587891,
- 0.08213353157043457, 0.0007989406585693359,
- 0.0007236003875732422, 0.057831764221191406,
- 0.0008220672607421875, 0.0006749629974365234,
- 0.15794730186462402, 0.0014393329620361328,
- 0.0010344982147216797, 0.0784151554107666,
- 0.0013916492462158203, 0.0012285709381103516,
- 0.07138919830322266, 0.0013813972473144531,
- 0.0011589527130126953, 0.10236406326293945,
- 0.0013544559478759766, 0.001497507095336914,
- 0.0916285514831543, 0.0016341209411621094,
- 0.0011816024780273438, 0.09123730659484863,
- 0.0009105205535888672, 0.0007014274597167969,
- 0.051998138427734375, 0.0008366107940673828,
- 0.0006515979766845703, 0.06313633918762207,
- 0.0008931159973144531, 0.0006749629974365234,
- 0.05794048309326172, 0.0024411678314208984,
- 0.0010530948638916016, 0.0009891986846923828,
- 0.000919342041015625]},
- {'mode': 'markers', 'name': 'Sample 6', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 7', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 6', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 7', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers',
- 'name': 'Sample 6',
- 'type': 'scatter',
- 'x': [1, 2, 2, 7, 3, 3, 1, 1, 7, 1, 10, 1, 1, 1, 5, 4, 6, 6, 1, 5,
- 4, 2, 2, 5, 2, 4, 4, 5, 3, 3, 6, 6, 6, 4, 4, 4, 1, 1, 1, 5, 1,
- 4, 7, 10, 4, 11, 1, 4, 4, 1, 1, 1, 7, 5, 8, 4, 7, 1, 4, 7, 4,
- 2, 4, 3, 7, 1, 4, 4, 5, 5, 3, 4, 4, 3, 4, 5, 8, 2, 7, 8, 3, 1,
- 4, 10, 4, 8, 1, 4, 4, 7, 4, 3, 9, 8, 6, 7, 4, 4, 2, 5, 7, 1, 4,
- 7, 4, 11, 3, 7, 3, 3, 6, 4, 7, 4, 6, 1, 4, 4, 5, 5, 4, 2, 2, 5,
- 4, 3, 4, 4, 2, 3, 5, 6, 8, 3, 2, 1, 4],
- 'y': [0.03869986534118652, 0.043004751205444336,
- 0.00023746490478515625, 0.0002467632293701172,
- 0.00020122528076171875, 0.0003426074981689453,
- 0.053154706954956055, 0.03165912628173828,
- 0.0004773139953613281, 0.042501211166381836,
- 0.03740859031677246, 0.0004487037658691406,
- 0.039716243743896484, 0.024188995361328125,
- 0.015808582305908203, 0.039473772048950195, 0.0413362979888916,
- 0.03700447082519531, 0.0006976127624511719,
- 0.0006911754608154297, 0.03827261924743652,
- 0.0006563663482666016, 0.0006587505340576172,
- 0.0005481243133544922, 0.000484466552734375,
- 0.04195404052734375, 0.03321409225463867,
- 0.0006468296051025391, 0.0005652904510498047,
- 0.0004239082336425781, 0.0003554821014404297,
- 0.038625478744506836, 0.03857254981994629, 0.0396275520324707,
- 0.0005147457122802734, 0.00044798851013183594,
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- 0.0004200935363769531, 0.03947782516479492,
- 0.03898191452026367, 0.03807568550109863, 0.040009260177612305,
- 0.050412893295288086, 0.008788108825683594,
- 0.0045108795166015625, 0.010632514953613281,
- 0.009697198867797852, 0.0005762577056884766,
- 0.0003840923309326172, 0.00035452842712402344,
- 0.03606843948364258, 0.0004839897155761719,
- 0.03685784339904785, 0.03954815864562988, 0.04077482223510742,
- 0.0390017032623291, 0.0005624294281005859,
- 0.0005118846893310547, 0.03818011283874512,
- 0.04066872596740723, 0.0006306171417236328,
- 0.03478288650512695, 0.0006933212280273438,
- 0.037526845932006836, 0.0006170272827148438,
- 0.037982940673828125, 0.038207292556762695,
- 0.0005283355712890625, 0.00026988983154296875,
- 0.03900432586669922, 0.0002949237823486328,
- 0.03900599479675293, 0.00043773651123046875,
- 0.0004506111145019531, 0.00031375885009765625,
- 0.0002963542938232422, 0.038353919982910156,
- 0.0003428459167480469, 0.04000353813171387,
- 0.00033664703369140625, 0.00031638145446777344,
- 0.0002758502960205078, 0.00028443336486816406,
- 0.03551983833312988, 0.00032210350036621094,
- 0.038173675537109375, 0.0003707408905029297,
- 0.03962898254394531, 0.0003638267517089844,
- 0.00033020973205566406, 0.037863969802856445,
- 0.03859996795654297, 0.0002655982971191406,
- 0.00047588348388671875, 0.00028705596923828125,
- 0.00028967857360839844, 0.03859305381774902,
- 0.03870439529418945, 0.0383298397064209, 0.0005888938903808594,
- 0.03807711601257324, 0.0408475399017334, 0.0005800724029541016,
- 0.010557889938354492, 0.029239416122436523,
- 0.004605531692504883, 0.004629611968994141,
- 0.0025429725646972656, 0.0024819374084472656,
- 0.02160787582397461, 0.014202117919921875,
- 0.0009098052978515625, 0.00048470497131347656,
- 0.021135568618774414, 0.0004534721374511719,
- 0.0005559921264648438, 0.03784322738647461,
- 0.0006258487701416016, 0.0005452632904052734,
- 0.0004410743713378906, 0.0005164146423339844,
- 0.0379486083984375, 0.0010063648223876953, 0.04070281982421875,
- 0.0003714561462402344, 0.03896689414978027,
- 0.03862285614013672, 0.0007507801055908203,
- 0.03968453407287598]},
- {'mode': 'markers',
- 'name': 'Sample 7',
- 'type': 'scatter',
- 'x': [1, 2, 2, ..., 2, 1, 4],
- 'y': [0.04017806053161621, 0.036365509033203125,
- 0.03893852233886719, ..., 0.045708656311035156,
- 0.0005433559417724609, 0.0005311965942382812]},
- {'mode': 'markers',
- 'name': 'Sample 6',
- 'type': 'scatter',
- 'x': [2, 1, 7, ..., 1, 2, 1],
- 'y': [0.0026655197143554688, 0.0007488727569580078,
- 0.0007848739624023438, ..., 0.01340627670288086,
- 0.0009033679962158203, 0.0009148120880126953]},
- {'mode': 'markers',
- 'name': 'Sample 7',
- 'type': 'scatter',
- 'x': [2, 1, 7, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1,
- 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1],
- 'y': [0.04886674880981445, 0.0005388259887695312,
- 0.0004487037658691406, 0.07080817222595215,
- 0.0011026859283447266, 0.0009558200836181641,
- 0.11839747428894043, 0.0010056495666503906,
- 0.0010018348693847656, 0.0645291805267334,
- 0.0014979839324951172, 0.0014078617095947266,
- 0.07069730758666992, 0.0008242130279541016,
- 0.0007991790771484375, 0.08647751808166504,
- 0.0009322166442871094, 0.0008161067962646484,
- 0.07274055480957031, 0.0009925365447998047,
- 0.0010166168212890625, 0.0548558235168457,
- 0.000789642333984375, 0.0007739067077636719,
- 0.05077767372131348, 0.001013040542602539,
- 0.0010120868682861328, 0.056079864501953125,
- 0.0011191368103027344, 0.0009915828704833984,
- 0.06196451187133789, 0.0010242462158203125,
- 0.000995635986328125, 0.09043741226196289,
- 0.0007801055908203125, 0.0008068084716796875,
- 0.06347441673278809, 0.001008749008178711,
- 0.0009949207305908203, 0.08131146430969238,
- 0.0011577606201171875, 0.0010023117065429688,
- 0.05188250541687012, 0.000949859619140625,
- 0.0009284019470214844, 0.07043075561523438,
- 0.0005939006805419922, 0.0005850791931152344,
- 0.08553290367126465, 0.0010306835174560547,
- 0.0009737014770507812, 0.11514043807983398,
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- 0.08492898941040039, 0.0009539127349853516,
- 0.0009353160858154297, 0.208726167678833, 0.001028299331665039,
- 0.0009560585021972656, 0.0011038780212402344,
- 0.0009496212005615234, 0.0009336471557617188,
- 0.0010395050048828125, 0.0010132789611816406,
- 0.0008792877197265625, 0.025906801223754883,
- 0.0009763240814208984, 0.0009398460388183594,
- 0.06861305236816406, 0.0009829998016357422,
- 0.0009448528289794922, 0.05578875541687012,
- 0.0009789466857910156, 0.0009624958038330078,
- 0.06972575187683105, 0.0011608600616455078,
- 0.0009870529174804688, 0.05199313163757324,
- 0.001013040542602539, 0.0010483264923095703,
- 0.04791879653930664, 0.0010175704956054688,
- 0.0009944438934326172, 0.06349015235900879,
- 0.000978708267211914, 0.0009477138519287109,
- 0.05552339553833008, 0.0010945796966552734,
- 0.0009515285491943359, 0.08082318305969238,
- 0.0010082721710205078, 0.0009577274322509766,
- 0.031322479248046875, 0.0009741783142089844,
- 0.0009694099426269531, 0.0664360523223877,
- 0.0009844303131103516, 0.0009799003601074219,
- 0.06997084617614746, 0.0011143684387207031,
- 0.000986337661743164, 0.08256149291992188,
- 0.0006356239318847656, 0.000514984130859375,
- 0.06774592399597168, 0.0009982585906982422,
- 0.0009937286376953125, 0.04579758644104004,
- 0.0007452964782714844, 0.0007724761962890625,
- 0.055381059646606445, 0.0011832714080810547,
- 0.0010380744934082031, 0.044104576110839844,
- 0.000989675521850586, 0.0009827613830566406,
- 0.015392541885375977, 0.0010585784912109375,
- 0.0009658336639404297]},
- {'mode': 'markers',
- 'name': 'Sample 6',
- 'type': 'scatter',
- 'x': [1, 2, 2, 7, 3, 3, 1, 1, 7, 1, 10, 1, 1, 1, 5, 4, 6, 6, 1, 5,
- 4, 2, 2, 5, 2, 4, 4, 5, 3, 3, 6, 6, 6, 4, 4, 4, 1, 1, 1, 5, 1,
- 4, 7, 10, 4, 11, 1, 4, 4, 1, 1, 1, 7, 5, 8, 4, 7, 1, 4, 7, 4,
- 2, 4, 3, 7, 1, 4, 4, 5, 5, 3, 4, 4, 3, 4, 5, 8, 2, 7, 8, 3, 1,
- 4, 10, 4, 8, 1, 4, 4, 7, 4, 3, 9, 8, 6, 7, 4, 4, 2, 5, 7, 1, 4,
- 7, 4, 11, 3, 7, 3, 3, 6, 4, 7, 4, 6, 1, 4, 4, 5, 5, 4, 2, 2, 5,
- 4, 3, 4, 4, 2, 3, 5, 6, 8, 3, 2, 1, 4],
- 'y': [0.0374147891998291, 0.04090070724487305,
- 0.00042247772216796875, 0.0004055500030517578,
- 0.0003879070281982422, 0.0003826618194580078,
- 0.03738522529602051, 0.035141706466674805,
- 0.000377655029296875, 0.03989863395690918, 0.03813529014587402,
- 0.0003743171691894531, 0.039191484451293945,
- 0.00031113624572753906, 0.03602933883666992,
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- {'mode': 'markers',
- 'name': 'Sample 7',
- 'type': 'scatter',
- 'x': [1, 2, 2, ..., 2, 1, 4],
- 'y': [0.04157614707946777, 0.04178762435913086, 0.04218626022338867,
- ..., 0.05496931076049805, 0.0005342960357666016,
- 0.0005674362182617188]},
- {'mode': 'markers',
- 'name': 'Sample 6',
- 'type': 'scatter',
- 'x': [1, 2, 2, ..., 2, 1, 4],
- 'y': [0.0005891323089599609, 0.028038740158081055,
- 0.000392913818359375, ..., 0.028148651123046875,
- 0.0002646446228027344, 0.03060460090637207]},
- {'mode': 'markers',
- 'name': 'Sample 7',
- 'type': 'scatter',
- 'x': [1, 2, 2, 7, 3, 3, 2, 5, 1, 4, 8, 8, 1, 10, 4, 8, 4, 4, 4, 3,
- 3, 6, 3, 2, 10, 5, 7, 4, 4, 9, 3, 4, 14, 7, 3, 7, 1, 1, 13, 3,
- 4, 13, 9, 1, 3, 5, 7, 5, 6, 4, 2, 11, 4, 11, 13, 3, 7, 1, 4, 5,
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- 8, 4, 5, 6, 3, 2, 10, 10, 9, 3, 4, 13, 3, 5, 2, 8, 10, 8, 4, 4,
- 4, 7, 1, 3, 10, 3, 8, 5, 3, 5, 4, 8, 4, 11, 12, 7, 5, 3, 3, 4,
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- 0.028658628463745117, 0.00021576881408691406,
- 0.028740644454956055, 0.029018640518188477,
- 0.02878594398498535, 0.029675960540771484,
- 0.00026917457580566406, 0.026999235153198242,
- 0.0003249645233154297, 0.02818155288696289,
- 0.028641462326049805, 0.10118842124938965,
- 0.0002884864807128906, 0.020873546600341797,
- 0.0002846717834472656, 0.00028228759765625,
- 0.02573394775390625, 0.0002808570861816406,
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- 0.026124000549316406, 0.026563167572021484, 0.0261533260345459,
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- 0.03158760070800781, 0.0256502628326416, 0.02868175506591797,
- 0.03081512451171875, 0.02991509437561035, 0.028234243392944336,
- 0.00022482872009277344, 0.00021791458129882812,
- 0.03341245651245117, 0.026630640029907227,
- 0.034381866455078125, 0.02265191078186035,
- 0.00022912025451660156, 0.0002181529998779297,
- 0.028269529342651367, 0.028667688369750977,
- 0.09629225730895996, 0.0002498626708984375, 0.02581787109375]},
- {'mode': 'markers', 'name': 'Sample 6', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 7', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 6', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 7', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 6', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 7', 'type': 'scatter', 'x': [], 'y': []}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_sizes'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times'}}}
-})",Scatter plot of chunk_sizes and chunk_generation_times for japanese|json
-gpt-3.5-turbo,japanese,json,"chunk_sizes, chunk_generation_times",./html/plots/japanese|json_hist2d.html,"Figure({
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- '#31688e'], [0.4444444444444444, '#26828e'],
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 6',
- 'type': 'histogram2d',
- 'x': [2, 1, 7, ..., 1, 2, 1],
- 'y': [0.055197715759277344, 0.0009396076202392578,
- 0.0006830692291259766, ..., 0.0014231204986572266,
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 7',
- 'type': 'histogram2d',
- 'x': [2, 1, 7, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1,
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- 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 6',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
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- '#35b779'], [0.7777777777777778, '#6ece58'],
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- 'name': 'Sample 7',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
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- '#35b779'], [0.7777777777777778, '#6ece58'],
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- 'name': 'Sample 6',
- 'type': 'histogram2d',
- 'x': [],
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- '#35b779'], [0.7777777777777778, '#6ece58'],
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- 'name': 'Sample 7',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 6',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, 7, 3, 3, 1, 1, 7, 1, 10, 1, 1, 1, 5, 4, 6, 6, 1, 5,
- 4, 2, 2, 5, 2, 4, 4, 5, 3, 3, 6, 6, 6, 4, 4, 4, 1, 1, 1, 5, 1,
- 4, 7, 10, 4, 11, 1, 4, 4, 1, 1, 1, 7, 5, 8, 4, 7, 1, 4, 7, 4,
- 2, 4, 3, 7, 1, 4, 4, 5, 5, 3, 4, 4, 3, 4, 5, 8, 2, 7, 8, 3, 1,
- 4, 10, 4, 8, 1, 4, 4, 7, 4, 3, 9, 8, 6, 7, 4, 4, 2, 5, 7, 1, 4,
- 7, 4, 11, 3, 7, 3, 3, 6, 4, 7, 4, 6, 1, 4, 4, 5, 5, 4, 2, 2, 5,
- 4, 3, 4, 4, 2, 3, 5, 6, 8, 3, 2, 1, 4],
- 'y': [0.03869986534118652, 0.043004751205444336,
- 0.00023746490478515625, 0.0002467632293701172,
- 0.00020122528076171875, 0.0003426074981689453,
- 0.053154706954956055, 0.03165912628173828,
- 0.0004773139953613281, 0.042501211166381836,
- 0.03740859031677246, 0.0004487037658691406,
- 0.039716243743896484, 0.024188995361328125,
- 0.015808582305908203, 0.039473772048950195, 0.0413362979888916,
- 0.03700447082519531, 0.0006976127624511719,
- 0.0006911754608154297, 0.03827261924743652,
- 0.0006563663482666016, 0.0006587505340576172,
- 0.0005481243133544922, 0.000484466552734375,
- 0.04195404052734375, 0.03321409225463867,
- 0.0006468296051025391, 0.0005652904510498047,
- 0.0004239082336425781, 0.0003554821014404297,
- 0.038625478744506836, 0.03857254981994629, 0.0396275520324707,
- 0.0005147457122802734, 0.00044798851013183594,
- 0.00037169456481933594, 0.00036525726318359375,
- 0.0382380485534668, 0.0363466739654541, 0.0005929470062255859,
- 0.0005543231964111328, 0.0363004207611084,
- 0.038582801818847656, 0.00045108795166015625,
- 0.0004200935363769531, 0.03947782516479492,
- 0.03898191452026367, 0.03807568550109863, 0.040009260177612305,
- 0.050412893295288086, 0.008788108825683594,
- 0.0045108795166015625, 0.010632514953613281,
- 0.009697198867797852, 0.0005762577056884766,
- 0.0003840923309326172, 0.00035452842712402344,
- 0.03606843948364258, 0.0004839897155761719,
- 0.03685784339904785, 0.03954815864562988, 0.04077482223510742,
- 0.0390017032623291, 0.0005624294281005859,
- 0.0005118846893310547, 0.03818011283874512,
- 0.04066872596740723, 0.0006306171417236328,
- 0.03478288650512695, 0.0006933212280273438,
- 0.037526845932006836, 0.0006170272827148438,
- 0.037982940673828125, 0.038207292556762695,
- 0.0005283355712890625, 0.00026988983154296875,
- 0.03900432586669922, 0.0002949237823486328,
- 0.03900599479675293, 0.00043773651123046875,
- 0.0004506111145019531, 0.00031375885009765625,
- 0.0002963542938232422, 0.038353919982910156,
- 0.0003428459167480469, 0.04000353813171387,
- 0.00033664703369140625, 0.00031638145446777344,
- 0.0002758502960205078, 0.00028443336486816406,
- 0.03551983833312988, 0.00032210350036621094,
- 0.038173675537109375, 0.0003707408905029297,
- 0.03962898254394531, 0.0003638267517089844,
- 0.00033020973205566406, 0.037863969802856445,
- 0.03859996795654297, 0.0002655982971191406,
- 0.00047588348388671875, 0.00028705596923828125,
- 0.00028967857360839844, 0.03859305381774902,
- 0.03870439529418945, 0.0383298397064209, 0.0005888938903808594,
- 0.03807711601257324, 0.0408475399017334, 0.0005800724029541016,
- 0.010557889938354492, 0.029239416122436523,
- 0.004605531692504883, 0.004629611968994141,
- 0.0025429725646972656, 0.0024819374084472656,
- 0.02160787582397461, 0.014202117919921875,
- 0.0009098052978515625, 0.00048470497131347656,
- 0.021135568618774414, 0.0004534721374511719,
- 0.0005559921264648438, 0.03784322738647461,
- 0.0006258487701416016, 0.0005452632904052734,
- 0.0004410743713378906, 0.0005164146423339844,
- 0.0379486083984375, 0.0010063648223876953, 0.04070281982421875,
- 0.0003714561462402344, 0.03896689414978027,
- 0.03862285614013672, 0.0007507801055908203,
- 0.03968453407287598]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 7',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, ..., 2, 1, 4],
- 'y': [0.04017806053161621, 0.036365509033203125,
- 0.03893852233886719, ..., 0.045708656311035156,
- 0.0005433559417724609, 0.0005311965942382812]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 6',
- 'type': 'histogram2d',
- 'x': [2, 1, 7, ..., 1, 2, 1],
- 'y': [0.0026655197143554688, 0.0007488727569580078,
- 0.0007848739624023438, ..., 0.01340627670288086,
- 0.0009033679962158203, 0.0009148120880126953]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 7',
- 'type': 'histogram2d',
- 'x': [2, 1, 7, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1,
- 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1],
- 'y': [0.04886674880981445, 0.0005388259887695312,
- 0.0004487037658691406, 0.07080817222595215,
- 0.0011026859283447266, 0.0009558200836181641,
- 0.11839747428894043, 0.0010056495666503906,
- 0.0010018348693847656, 0.0645291805267334,
- 0.0014979839324951172, 0.0014078617095947266,
- 0.07069730758666992, 0.0008242130279541016,
- 0.0007991790771484375, 0.08647751808166504,
- 0.0009322166442871094, 0.0008161067962646484,
- 0.07274055480957031, 0.0009925365447998047,
- 0.0010166168212890625, 0.0548558235168457,
- 0.000789642333984375, 0.0007739067077636719,
- 0.05077767372131348, 0.001013040542602539,
- 0.0010120868682861328, 0.056079864501953125,
- 0.0011191368103027344, 0.0009915828704833984,
- 0.06196451187133789, 0.0010242462158203125,
- 0.000995635986328125, 0.09043741226196289,
- 0.0007801055908203125, 0.0008068084716796875,
- 0.06347441673278809, 0.001008749008178711,
- 0.0009949207305908203, 0.08131146430969238,
- 0.0011577606201171875, 0.0010023117065429688,
- 0.05188250541687012, 0.000949859619140625,
- 0.0009284019470214844, 0.07043075561523438,
- 0.0005939006805419922, 0.0005850791931152344,
- 0.08553290367126465, 0.0010306835174560547,
- 0.0009737014770507812, 0.11514043807983398,
- 0.0011196136474609375, 0.0009911060333251953,
- 0.08492898941040039, 0.0009539127349853516,
- 0.0009353160858154297, 0.208726167678833, 0.001028299331665039,
- 0.0009560585021972656, 0.0011038780212402344,
- 0.0009496212005615234, 0.0009336471557617188,
- 0.0010395050048828125, 0.0010132789611816406,
- 0.0008792877197265625, 0.025906801223754883,
- 0.0009763240814208984, 0.0009398460388183594,
- 0.06861305236816406, 0.0009829998016357422,
- 0.0009448528289794922, 0.05578875541687012,
- 0.0009789466857910156, 0.0009624958038330078,
- 0.06972575187683105, 0.0011608600616455078,
- 0.0009870529174804688, 0.05199313163757324,
- 0.001013040542602539, 0.0010483264923095703,
- 0.04791879653930664, 0.0010175704956054688,
- 0.0009944438934326172, 0.06349015235900879,
- 0.000978708267211914, 0.0009477138519287109,
- 0.05552339553833008, 0.0010945796966552734,
- 0.0009515285491943359, 0.08082318305969238,
- 0.0010082721710205078, 0.0009577274322509766,
- 0.031322479248046875, 0.0009741783142089844,
- 0.0009694099426269531, 0.0664360523223877,
- 0.0009844303131103516, 0.0009799003601074219,
- 0.06997084617614746, 0.0011143684387207031,
- 0.000986337661743164, 0.08256149291992188,
- 0.0006356239318847656, 0.000514984130859375,
- 0.06774592399597168, 0.0009982585906982422,
- 0.0009937286376953125, 0.04579758644104004,
- 0.0007452964782714844, 0.0007724761962890625,
- 0.055381059646606445, 0.0011832714080810547,
- 0.0010380744934082031, 0.044104576110839844,
- 0.000989675521850586, 0.0009827613830566406,
- 0.015392541885375977, 0.0010585784912109375,
- 0.0009658336639404297]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 6',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, 7, 3, 3, 1, 1, 7, 1, 10, 1, 1, 1, 5, 4, 6, 6, 1, 5,
- 4, 2, 2, 5, 2, 4, 4, 5, 3, 3, 6, 6, 6, 4, 4, 4, 1, 1, 1, 5, 1,
- 4, 7, 10, 4, 11, 1, 4, 4, 1, 1, 1, 7, 5, 8, 4, 7, 1, 4, 7, 4,
- 2, 4, 3, 7, 1, 4, 4, 5, 5, 3, 4, 4, 3, 4, 5, 8, 2, 7, 8, 3, 1,
- 4, 10, 4, 8, 1, 4, 4, 7, 4, 3, 9, 8, 6, 7, 4, 4, 2, 5, 7, 1, 4,
- 7, 4, 11, 3, 7, 3, 3, 6, 4, 7, 4, 6, 1, 4, 4, 5, 5, 4, 2, 2, 5,
- 4, 3, 4, 4, 2, 3, 5, 6, 8, 3, 2, 1, 4],
- 'y': [0.0374147891998291, 0.04090070724487305,
- 0.00042247772216796875, 0.0004055500030517578,
- 0.0003879070281982422, 0.0003826618194580078,
- 0.03738522529602051, 0.035141706466674805,
- 0.000377655029296875, 0.03989863395690918, 0.03813529014587402,
- 0.0003743171691894531, 0.039191484451293945,
- 0.00031113624572753906, 0.03602933883666992,
- 0.03991818428039551, 0.03661322593688965, 0.0404052734375,
- 0.0004031658172607422, 0.00034236907958984375,
- 0.03717446327209473, 0.00037980079650878906,
- 0.00039386749267578125, 0.0004992485046386719,
- 0.0005602836608886719, 0.0393519401550293, 0.0430452823638916,
- 0.0005679130554199219, 0.0005729198455810547,
- 0.0005605220794677734, 0.0005788803100585938,
- 0.03394007682800293, 0.04070401191711426, 0.04027724266052246,
- 0.00040411949157714844, 0.00041103363037109375,
- 0.0003845691680908203, 0.00037169456481933594,
- 0.03594017028808594, 0.03814506530761719,
- 0.0004017353057861328, 0.0005345344543457031,
- 0.03743171691894531, 0.04314613342285156,
- 0.00040149688720703125, 0.0003914833068847656,
- 0.036397457122802734, 0.03921771049499512,
- 0.040355682373046875, 0.038083791732788086,
- 0.03856301307678223, 0.00040435791015625,
- 0.00039887428283691406, 0.0003762245178222656,
- 0.0003719329833984375, 0.037155866622924805,
- 0.0004096031188964844, 0.0004162788391113281,
- 0.04147195816040039, 0.0003693103790283203,
- 0.03358149528503418, 0.03837752342224121, 0.040155649185180664,
- 0.03923511505126953, 0.00037026405334472656,
- 0.00037026405334472656, 0.03759884834289551,
- 0.038451433181762695, 0.00042176246643066406,
- 0.039743661880493164, 0.0004115104675292969,
- 0.036360979080200195, 0.00040602684020996094,
- 0.0376284122467041, 0.0381472110748291, 0.00038504600524902344,
- 0.0003771781921386719, 0.0426483154296875,
- 0.0004558563232421875, 0.034009456634521484,
- 0.0003936290740966797, 0.0003859996795654297,
- 0.0005438327789306641, 0.0003647804260253906,
- 0.037825822830200195, 0.00039768218994140625,
- 0.03804373741149902, 0.0002932548522949219,
- 0.00028586387634277344, 0.00026679039001464844,
- 0.0002560615539550781, 0.03818964958190918,
- 0.00039505958557128906, 0.037637948989868164,
- 0.0004017353057861328, 0.03745698928833008,
- 0.0005669593811035156, 0.0005295276641845703,
- 0.03586864471435547, 0.03837728500366211,
- 0.0004191398620605469, 0.0004086494445800781,
- 0.0003762245178222656, 0.0003886222839355469,
- 0.03706836700439453, 0.03772902488708496, 0.03872370719909668,
- 0.0004105567932128906, 0.040213584899902344,
- 0.038036346435546875, 0.0004067420959472656,
- 0.00037980079650878906, 0.03699684143066406,
- 0.00044465065002441406, 0.0004792213439941406,
- 0.00036597251892089844, 0.0003561973571777344,
- 0.0356907844543457, 0.00038361549377441406,
- 0.0003750324249267578, 0.0003616809844970703,
- 0.0378108024597168, 0.00024628639221191406,
- 0.00022530555725097656, 0.04096174240112305,
- 0.0003178119659423828, 0.0002989768981933594,
- 0.0002865791320800781, 0.00027823448181152344,
- 0.03949761390686035, 0.00039005279541015625,
- 0.035582780838012695, 0.0003802776336669922,
- 0.03740501403808594, 0.039441585540771484,
- 0.00025582313537597656, 0.04109454154968262]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 7',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, ..., 2, 1, 4],
- 'y': [0.04157614707946777, 0.04178762435913086, 0.04218626022338867,
- ..., 0.05496931076049805, 0.0005342960357666016,
- 0.0005674362182617188]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 6',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, ..., 2, 1, 4],
- 'y': [0.0005891323089599609, 0.028038740158081055,
- 0.000392913818359375, ..., 0.028148651123046875,
- 0.0002646446228027344, 0.03060460090637207]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 7',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, 7, 3, 3, 2, 5, 1, 4, 8, 8, 1, 10, 4, 8, 4, 4, 4, 3,
- 3, 6, 3, 2, 10, 5, 7, 4, 4, 9, 3, 4, 14, 7, 3, 7, 1, 1, 13, 3,
- 4, 13, 9, 1, 3, 5, 7, 5, 6, 4, 2, 11, 4, 11, 13, 3, 7, 1, 4, 5,
- 3, 5, 4, 5, 10, 5, 6, 4, 4, 7, 4, 6, 3, 5, 7, 3, 8, 1, 5, 6, 5,
- 10, 12, 1, 8, 1, 5, 6, 4, 5, 5, 14, 4, 3, 4, 9, 9, 1, 3, 5, 5,
- 8, 4, 5, 6, 3, 2, 10, 10, 9, 3, 4, 13, 3, 5, 2, 8, 10, 8, 4, 4,
- 4, 7, 1, 3, 10, 3, 8, 5, 3, 5, 4, 8, 4, 11, 12, 7, 5, 3, 3, 4,
- 7, 1, 6, 3, 10, 3, 3, 4, 10, 3, 2, 1, 4],
- 'y': [0.00042819976806640625, 0.03467154502868652,
- 0.0003299713134765625, 0.00028133392333984375,
- 0.03508615493774414, 0.00026535987854003906,
- 0.035877227783203125, 0.03302454948425293,
- 0.0002193450927734375, 0.0343630313873291, 0.03423714637756348,
- 0.03492236137390137, 0.00028824806213378906,
- 0.0002722740173339844, 0.03366899490356445,
- 0.034956932067871094, 0.0353093147277832,
- 0.0003533363342285156, 0.03450322151184082,
- 0.035886287689208984, 0.0003857612609863281,
- 0.0004153251647949219, 0.0003695487976074219,
- 0.033544301986694336, 0.12114715576171875,
- 0.028534412384033203, 0.02881932258605957, 0.03152823448181152,
- 0.0004417896270751953, 0.0003998279571533203,
- 0.025934457778930664, 0.00039005279541015625,
- 0.0003876686096191406, 0.00036644935607910156,
- 0.028306007385253906, 0.029933691024780273,
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 6',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 7',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 6',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
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- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 7',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 6',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 7',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []}],
- 'layout': {'coloraxis': {'colorbar': {'title': {'text': 'frequency'}}},
- 'template': '...',
- 'xaxis': {'title': {'text': 'chunk_sizes'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times'}}}
-})",2D histogram of chunk_sizes and chunk_generation_times for japanese|json
-gpt-3.5-turbo,japanese,markdown,"chunk_sizes, chunk_generation_times",./html/plots/japanese|markdown_scatter.html,"Figure({
- 'data': [{'mode': 'markers',
- 'name': 'Sample 2',
- 'type': 'scatter',
- 'x': [1, 1, 1, ..., 1, 1, 1],
- 'y': [0.09664440155029297, 0.0009276866912841797,
- 0.0006921291351318359, ..., 0.01478886604309082,
- 0.0007951259613037109, 0.0006318092346191406]},
- {'mode': 'markers',
- 'name': 'Sample 3',
- 'type': 'scatter',
- 'x': [1, 1, 1, ..., 1, 3, 1],
- 'y': [0.11492753028869629, 0.0013332366943359375,
- 0.0011086463928222656, ..., 0.0007293224334716797,
- 0.0006046295166015625, 0.0009331703186035156]},
- {'mode': 'markers', 'name': 'Sample 2', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 3', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 2', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 3', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers',
- 'name': 'Sample 2',
- 'type': 'scatter',
- 'x': [1, 3, 4, ..., 3, 1, 4],
- 'y': [0.03938937187194824, 0.03878307342529297, 0.0003204345703125,
- ..., 0.00020241737365722656, 0.04965066909790039,
- 0.0004153251647949219]},
- {'mode': 'markers',
- 'name': 'Sample 3',
- 'type': 'scatter',
- 'x': [2, 5, 1, ..., 9, 1, 4],
- 'y': [0.03808403015136719, 0.03988242149353027,
- 0.000316619873046875, ..., 0.04375195503234863,
- 0.00030517578125, 0.0002968311309814453]},
- {'mode': 'markers',
- 'name': 'Sample 2',
- 'type': 'scatter',
- 'x': [1, 1, 1, ..., 1, 3, 1],
- 'y': [0.0943903923034668, 0.0007405281066894531,
- 0.0007641315460205078, ..., 0.0010237693786621094,
- 0.001007080078125, 0.0010919570922851562]},
- {'mode': 'markers',
- 'name': 'Sample 3',
- 'type': 'scatter',
- 'x': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
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- 0.0009720325469970703, 0.08907032012939453,
- 0.0008678436279296875, 0.0010116100311279297,
- 0.0895380973815918, 0.0010266304016113281,
- 0.0011525154113769531, 0.09943056106567383,
- 0.0011608600616455078, 0.0010821819305419922,
- 0.06901383399963379, 0.0010180473327636719,
- 0.0010330677032470703, 0.04735088348388672,
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- {'mode': 'markers',
- 'name': 'Sample 2',
- 'type': 'scatter',
- 'x': [1, 3, 4, ..., 3, 1, 4],
- 'y': [0.4988229274749756, 0.041541337966918945,
- 0.00046896934509277344, ..., 0.0002532005310058594,
- 0.04337000846862793, 0.0003113746643066406]},
- {'mode': 'markers',
- 'name': 'Sample 3',
- 'type': 'scatter',
- 'x': [2, 5, 1, ..., 9, 1, 4],
- 'y': [0.053075551986694336, 0.023623943328857422,
- 0.00044035911560058594, ..., 0.04376816749572754,
- 0.00023746490478515625, 0.0002741813659667969]},
- {'mode': 'markers',
- 'name': 'Sample 2',
- 'type': 'scatter',
- 'x': [1, 1, 1, ..., 1, 2, 4],
- 'y': [0.022631406784057617, 0.022909164428710938,
- 0.0002346038818359375, ..., 0.00040221214294433594,
- 0.0003783702850341797, 0.030768871307373047]},
- {'mode': 'markers',
- 'name': 'Sample 3',
- 'type': 'scatter',
- 'x': [2, 5, 1, ..., 1, 1, 4],
- 'y': [0.02977275848388672, 0.10252237319946289,
- 0.0004799365997314453, ..., 0.027635812759399414,
- 0.035398006439208984, 0.0004639625549316406]},
- {'mode': 'markers', 'name': 'Sample 2', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 3', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 2', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 3', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 2', 'type': 'scatter', 'x': [], 'y': []},
- {'mode': 'markers', 'name': 'Sample 3', 'type': 'scatter', 'x': [], 'y': []}],
- 'layout': {'template': '...',
- 'xaxis': {'title': {'text': 'chunk_sizes'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times'}}}
-})",Scatter plot of chunk_sizes and chunk_generation_times for japanese|markdown
-gpt-3.5-turbo,japanese,markdown,"chunk_sizes, chunk_generation_times",./html/plots/japanese|markdown_hist2d.html,"Figure({
- 'data': [{'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 2',
- 'type': 'histogram2d',
- 'x': [1, 1, 1, ..., 1, 1, 1],
- 'y': [0.09664440155029297, 0.0009276866912841797,
- 0.0006921291351318359, ..., 0.01478886604309082,
- 0.0007951259613037109, 0.0006318092346191406]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 3',
- 'type': 'histogram2d',
- 'x': [1, 1, 1, ..., 1, 3, 1],
- 'y': [0.11492753028869629, 0.0013332366943359375,
- 0.0011086463928222656, ..., 0.0007293224334716797,
- 0.0006046295166015625, 0.0009331703186035156]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 2',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 3',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 2',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 3',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 2',
- 'type': 'histogram2d',
- 'x': [1, 3, 4, ..., 3, 1, 4],
- 'y': [0.03938937187194824, 0.03878307342529297, 0.0003204345703125,
- ..., 0.00020241737365722656, 0.04965066909790039,
- 0.0004153251647949219]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 3',
- 'type': 'histogram2d',
- 'x': [2, 5, 1, ..., 9, 1, 4],
- 'y': [0.03808403015136719, 0.03988242149353027,
- 0.000316619873046875, ..., 0.04375195503234863,
- 0.00030517578125, 0.0002968311309814453]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 2',
- 'type': 'histogram2d',
- 'x': [1, 1, 1, ..., 1, 3, 1],
- 'y': [0.0943903923034668, 0.0007405281066894531,
- 0.0007641315460205078, ..., 0.0010237693786621094,
- 0.001007080078125, 0.0010919570922851562]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 3',
- 'type': 'histogram2d',
- 'x': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
- 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1],
- 'y': [0.0979311466217041, 0.00096893310546875,
- 0.0010690689086914062, 0.07782816886901855,
- 0.0010001659393310547, 0.0009646415710449219,
- 0.051312923431396484, 0.0009915828704833984,
- 0.0009713172912597656, 0.0912940502166748,
- 0.0010423660278320312, 0.001104116439819336,
- 0.07774829864501953, 0.0010311603546142578,
- 0.000997304916381836, 0.11951732635498047,
- 0.0010483264923095703, 0.0009708404541015625,
- 0.05830645561218262, 0.0009930133819580078,
- 0.0009558200836181641, 0.05755949020385742,
- 0.0010159015655517578, 0.001651763916015625,
- 0.09955286979675293, 0.0010182857513427734,
- 0.0009832382202148438, 0.09042596817016602,
- 0.0007708072662353516, 0.0007479190826416016,
- 0.27831387519836426, 0.0010209083557128906,
- 0.0009772777557373047, 0.0009541511535644531,
- 0.0009548664093017578, 0.001264810562133789,
- 0.0010647773742675781, 0.0009553432464599609,
- 0.0009379386901855469, 0.0010411739349365234,
- 0.000946044921875, 0.0009160041809082031, 0.09089231491088867,
- 0.0009624958038330078, 0.0009400844573974609,
- 0.080169677734375, 0.000989675521850586, 0.0010561943054199219,
- 0.05393552780151367, 0.001027822494506836,
- 0.0009672641754150391, 0.09284567832946777,
- 0.0010249614715576172, 0.0010287761688232422,
- 0.09531545639038086, 0.0011074542999267578,
- 0.000990152359008789, 0.09417080879211426,
- 0.001110076904296875, 0.0011386871337890625,
- 0.08744049072265625, 0.0011043548583984375,
- 0.001020669937133789, 0.14498424530029297,
- 0.0007867813110351562, 0.0007684230804443359,
- 0.07933259010314941, 0.0008087158203125, 0.0007703304290771484,
- 0.05308032035827637, 0.00075531005859375,
- 0.0008985996246337891, 0.05686640739440918,
- 0.001069784164428711, 0.001051187515258789,
- 0.05319547653198242, 0.0010449886322021484,
- 0.0010290145874023438, 0.12117362022399902,
- 0.0010497570037841797, 0.0010018348693847656,
- 0.05618095397949219, 0.0010533332824707031,
- 0.0011477470397949219, 0.093719482421875,
- 0.0010683536529541016, 0.0009891986846923828,
- 0.08683300018310547, 0.0015676021575927734,
- 0.0013060569763183594, 0.05170392990112305,
- 0.0005733966827392578, 0.0006749629974365234,
- 0.07657384872436523, 0.0007994174957275391,
- 0.0008857250213623047, 0.08639931678771973,
- 0.0007772445678710938, 0.0007567405700683594,
- 0.07021236419677734, 0.0007841587066650391,
- 0.0007724761962890625, 0.05890011787414551,
- 0.0010004043579101562, 0.0009548664093017578,
- 0.07330703735351562, 0.0009911060333251953,
- 0.0011098384857177734, 0.07612204551696777,
- 0.0010144710540771484, 0.0010192394256591797,
- 0.05749869346618652, 0.0010645389556884766,
- 0.0010395050048828125, 0.05234527587890625,
- 0.0010199546813964844, 0.0010080337524414062,
- 0.07121634483337402, 0.0010259151458740234,
- 0.0011281967163085938, 0.061344146728515625,
- 0.0010349750518798828, 0.0009965896606445312,
- 0.10403561592102051, 0.0010595321655273438,
- 0.0010135173797607422, 0.1019437313079834,
- 0.001123666763305664, 0.0010161399841308594,
- 0.0952296257019043, 0.0010104179382324219,
- 0.0011134147644042969, 0.07617545127868652,
- 0.0009958744049072266, 0.0009481906890869141,
- 0.09762978553771973, 0.001050710678100586,
- 0.0010383129119873047, 0.057207584381103516,
- 0.0010323524475097656, 0.0010447502136230469,
- 0.05507540702819824, 0.0010232925415039062,
- 0.0011076927185058594, 0.058118581771850586,
- 0.000993490219116211, 0.0009725093841552734,
- 0.07656025886535645, 0.0009922981262207031,
- 0.0009720325469970703, 0.08907032012939453,
- 0.0008678436279296875, 0.0010116100311279297,
- 0.0895380973815918, 0.0010266304016113281,
- 0.0011525154113769531, 0.09943056106567383,
- 0.0011608600616455078, 0.0010821819305419922,
- 0.06901383399963379, 0.0010180473327636719,
- 0.0010330677032470703, 0.04735088348388672,
- 0.0010559558868408203, 0.0010323524475097656,
- 0.0010175704956054688, 0.0010192394256591797]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 2',
- 'type': 'histogram2d',
- 'x': [1, 3, 4, ..., 3, 1, 4],
- 'y': [0.4988229274749756, 0.041541337966918945,
- 0.00046896934509277344, ..., 0.0002532005310058594,
- 0.04337000846862793, 0.0003113746643066406]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 3',
- 'type': 'histogram2d',
- 'x': [2, 5, 1, ..., 9, 1, 4],
- 'y': [0.053075551986694336, 0.023623943328857422,
- 0.00044035911560058594, ..., 0.04376816749572754,
- 0.00023746490478515625, 0.0002741813659667969]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 2',
- 'type': 'histogram2d',
- 'x': [1, 1, 1, ..., 1, 2, 4],
- 'y': [0.022631406784057617, 0.022909164428710938,
- 0.0002346038818359375, ..., 0.00040221214294433594,
- 0.0003783702850341797, 0.030768871307373047]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 3',
- 'type': 'histogram2d',
- 'x': [2, 5, 1, ..., 1, 1, 4],
- 'y': [0.02977275848388672, 0.10252237319946289,
- 0.0004799365997314453, ..., 0.027635812759399414,
- 0.035398006439208984, 0.0004639625549316406]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 2',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 3',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 2',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 3',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 2',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 3',
- 'type': 'histogram2d',
- 'x': [],
- 'y': []}],
- 'layout': {'coloraxis': {'colorbar': {'title': {'text': 'frequency'}}},
- 'template': '...',
- 'xaxis': {'title': {'text': 'chunk_sizes'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times'}}}
-})",2D histogram of chunk_sizes and chunk_generation_times for japanese|markdown
-gpt-3.5-turbo,english,markdown,"chunk_sizes, chunk_generation_times",./html/plots/english|markdown_scatter.html,"Figure({
- 'data': [{'mode': 'markers',
- 'name': 'Sample 0',
- 'type': 'scatter',
- 'x': [3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 3, 6, 4, 8, 9, 5, 1, 2, 1, 2,
- 4, 3, 10, 8, 1, 5, 8, 5, 7, 3, 6, 6, 1, 2, 1, 2, 3, 9, 1, 7, 5,
- 1, 3, 5, 1, 9, 7, 3, 1, 2, 3, 2, 2, 2, 1, 1, 4, 12, 3, 3, 1, 2,
- 3, 3, 3, 4, 4, 6, 1, 4, 9, 1, 6, 5, 6, 4, 3, 3, 3, 8, 1, 5, 8,
- 4, 8, 7, 4, 6, 6, 12, 1],
- 'y': [0.06274151802062988, 0.0009312629699707031,
- 0.0006353855133056641, 0.0561068058013916,
- 0.0007245540618896484, 0.0006659030914306641,
- 0.05930495262145996, 0.0008580684661865234,
- 0.0006489753723144531, 0.058847904205322266,
- 0.0008411407470703125, 0.0006690025329589844,
- 0.05553746223449707, 0.0009059906005859375,
- 0.0007872581481933594, 0.05165529251098633,
- 0.0007967948913574219, 0.0006499290466308594,
- 0.0508577823638916, 0.0011501312255859375,
- 0.0009181499481201172, 0.09094595909118652,
- 0.0008530616760253906, 0.0006659030914306641,
- 0.014414072036743164, 0.0007576942443847656,
- 0.0006711483001708984, 0.05640912055969238,
- 0.0008192062377929688, 0.0006682872772216797,
- 0.04844379425048828, 0.0007662773132324219,
- 0.0006532669067382812, 0.049308061599731445,
- 0.0008127689361572266, 0.0006673336029052734,
- 0.05336880683898926, 0.0008544921875, 0.0006625652313232422,
- 0.04490470886230469, 0.0007023811340332031,
- 0.0005536079406738281, 0.048888444900512695,
- 0.0006527900695800781, 0.0005142688751220703,
- 0.050011396408081055, 0.000682830810546875,
- 0.0005171298980712891, 0.0499110221862793,
- 0.0007908344268798828, 0.0006046295166015625,
- 0.05903172492980957, 0.000820159912109375,
- 0.0006310939788818359, 0.03206372261047363,
- 0.0007817745208740234, 0.0006034374237060547,
- 0.04815220832824707, 0.0007536411285400391, 0.0953059196472168,
- 0.0008647441864013672, 0.0005252361297607422,
- 0.04978609085083008, 0.0008895397186279297,
- 0.0006482601165771484, 0.05089426040649414,
- 0.0007932186126708984, 0.0006971359252929688,
- 0.049343109130859375, 0.0009157657623291016,
- 0.0007002353668212891, 0.0706026554107666,
- 0.0009450912475585938, 0.0005929470062255859,
- 0.07690167427062988, 0.0007560253143310547,
- 0.0006308555603027344, 0.05718588829040527,
- 0.0008492469787597656, 0.0005517005920410156,
- 0.058922529220581055, 0.0007967948913574219,
- 0.0006403923034667969, 0.047983646392822266,
- 0.0010120868682861328, 0.0006155967712402344,
- 0.032981157302856445, 0.0008053779602050781,
- 0.0006210803985595703, 0.034279823303222656,
- 0.0007932186126708984, 0.0008952617645263672]},
- {'mode': 'markers',
- 'name': 'Sample 1',
- 'type': 'scatter',
- 'x': [3, 5, 10, 4, 11, 2, 7, 7, 7, 3, 3, 3, 1, 5, 1, 6, 5, 5, 3, 12,
- 3, 5, 4, 1, 4, 7, 1, 9, 3, 1, 2, 1, 1, 1, 2, 2, 2, 1, 4, 9, 1,
- 1, 1, 3, 7, 1, 3, 9, 5, 4, 5, 3, 7, 3, 2, 7, 5, 1, 3, 3, 9, 4,
- 7, 3, 4, 9, 7, 7, 7, 5, 5, 3, 2, 3, 1, 5, 7, 4, 4, 10, 3, 9,
- 11, 6, 3, 7, 1, 1, 1, 3, 11, 1],
- 'y': [0.16259074211120605, 0.0008840560913085938,
- 0.0006911754608154297, 0.05198979377746582,
- 0.0007870197296142578, 0.0006337165832519531,
- 0.0005943775177001953, 0.0005810260772705078,
- 0.0007536411285400391, 0.0005717277526855469,
- 0.0005657672882080078, 0.04962420463562012,
- 0.0007610321044921875, 0.0006227493286132812,
- 0.07400012016296387, 0.0009849071502685547,
- 0.0006148815155029297, 0.03511953353881836,
- 0.0006856918334960938, 0.0006082057952880859,
- 0.057657718658447266, 0.0008754730224609375,
- 0.0007481575012207031, 0.059493064880371094,
- 0.0008032321929931641, 0.0006246566772460938,
- 0.053577423095703125, 0.0019567012786865234,
- 0.0006306171417236328, 0.05755734443664551,
- 0.001142263412475586, 0.0009324550628662109,
- 0.05142021179199219, 0.0009379386901855469,
- 0.0006515979766845703, 0.06458806991577148,
- 0.0008528232574462891, 0.0006392002105712891,
- 0.05504298210144043, 0.0007948875427246094,
- 0.0005078315734863281, 0.06513237953186035,
- 0.0007617473602294922, 0.0005867481231689453,
- 0.04303383827209473, 0.0008795261383056641,
- 0.0006167888641357422, 0.06613874435424805,
- 0.0007627010345458984, 0.0006270408630371094,
- 0.05144858360290527, 0.0009448528289794922,
- 0.0006008148193359375, 0.048825979232788086,
- 0.0009047985076904297, 0.0006306171417236328,
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- 'layout': {'coloraxis': {'colorbar': {'title': {'text': 'frequency'}}},
- 'template': '...',
- 'xaxis': {'title': {'text': 'chunk_sizes'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times'}}}
-})",2D histogram of chunk_sizes and chunk_generation_times for english|markdown
-gpt-3.5-turbo,english,json,"chunk_sizes, chunk_generation_times",./html/plots/english|json_scatter.html,"Figure({
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- 5, 3, 3, 4, 3, 2, 7, 5, 1, 4, 4, 9, 3, 9, 6, 4, 14, 1, 1, 1, 1,
- 1, 1, 6, 2, 1, 1],
- 'y': [0.05948185920715332, 0.03695845603942871,
- 0.031099557876586914, 0.03120255470275879, 0.03287482261657715,
- 0.03280186653137207, 0.03328275680541992, 0.03304576873779297,
- 0.03307843208312988, 0.032563209533691406, 0.03278160095214844,
- 0.03271961212158203, 0.03270268440246582, 0.033188581466674805,
- 0.032707929611206055, 0.03281736373901367, 0.03281068801879883,
- 0.0328516960144043, 0.03278326988220215, 0.03271198272705078,
- 0.032724857330322266, 0.03273510932922363, 0.0328059196472168,
- 0.032903194427490234, 0.03341031074523926,
- 0.031944990158081055, 0.03381824493408203,
- 0.032653093338012695, 0.03337264060974121, 0.03264260292053223,
- 0.03273296356201172, 0.0322415828704834, 0.032692670822143555,
- 0.03282880783081055, 0.03279852867126465, 0.03264617919921875,
- 0.032649993896484375, 0.033190011978149414,
- 0.03315401077270508, 0.03268313407897949, 0.033409833908081055,
- 0.03222084045410156, 0.03352808952331543, 0.033272504806518555,
- 0.03400707244873047, 0.035341739654541016, 0.03473043441772461,
- 0.028969526290893555, 0.032972097396850586,
- 0.032877445220947266, 0.03284955024719238, 0.03296399116516113,
- 0.032759666442871094, 0.03328394889831543, 0.03304934501647949,
- 0.03315997123718262, 0.03285479545593262, 0.03286433219909668,
- 0.033128976821899414, 0.03247261047363281,
- 0.032787322998046875, 0.03343009948730469, 0.03373527526855469,
- 0.03331756591796875, 0.03303098678588867, 0.032538414001464844,
- 0.03347206115722656, 0.03288912773132324, 0.03327775001525879,
- 0.03294539451599121, 0.03243112564086914, 0.03465151786804199,
- 0.03194880485534668, 0.03228306770324707, 0.032750606536865234,
- 0.03286385536193848, 0.03277707099914551, 0.03328990936279297,
- 0.03328752517700195, 0.03357958793640137, 0.03311896324157715,
- 0.03277444839477539, 0.03243660926818848, 0.03304314613342285,
- 0.033922433853149414, 0.03299450874328613,
- 0.032975196838378906, 0.0327916145324707, 0.03257894515991211]},
- {'mode': 'markers',
- 'name': 'Sample 4',
- 'type': 'scatter',
- 'x': [1, 2, 2, 7, 3, 3, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 9, 6, 4, 8,
- 1, 9, 5, 1, 1, 1, 1, 1, 1, 2, 2, 3, 4, 3, 3, 8, 1, 5, 2, 3, 1,
- 3, 1, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 4, 6, 5, 3, 9, 1, 12, 4, 4,
- 3, 7, 4, 6, 6, 1, 1, 1, 1, 1, 1, 3, 3, 3, 3, 3, 2, 1, 4],
- 'y': [0.044580698013305664, 0.04812312126159668,
- 0.05114483833312988, 0.004778861999511719,
- 0.011965513229370117, 0.0025997161865234375,
- 0.01915884017944336, 0.0024368762969970703,
- 0.042346954345703125, 0.0011417865753173828,
- 0.00045943260192871094, 0.0003840923309326172,
- 0.0005993843078613281, 0.039794206619262695, 0.00042724609375,
- 0.0004787445068359375, 0.0004673004150390625,
- 0.0004177093505859375, 0.04233098030090332,
- 0.0009753704071044922, 0.0005500316619873047,
- 0.00034928321838378906, 0.0003056526184082031,
- 0.03934979438781738, 0.0003712177276611328,
- 0.0003046989440917969, 0.00023555755615234375,
- 0.00023245811462402344, 0.044139862060546875,
- 0.0006554126739501953, 0.0006070137023925781,
- 0.0004811286926269531, 0.00043964385986328125,
- 0.040007591247558594, 0.0007572174072265625,
- 0.0007014274597167969, 0.0005462169647216797,
- 0.000484466552734375, 0.042290687561035156,
- 0.0006864070892333984, 0.0005562305450439453,
- 0.0004591941833496094, 0.0004565715789794922,
- 0.04335331916809082, 0.0024950504302978516,
- 0.002475738525390625, 0.002390623092651367,
- 0.002371549606323242, 0.03076958656311035,
- 0.0024678707122802734, 0.006899356842041016,
- 0.006480693817138672, 0.006663799285888672,
- 0.013115406036376953, 0.0006022453308105469,
- 0.0005123615264892578, 0.00042247772216796875,
- 0.03937053680419922, 0.0007052421569824219, 0.0354914665222168,
- 0.04008746147155762, 0.037667036056518555, 0.03889751434326172,
- 0.0007460117340087891, 0.0006895065307617188,
- 0.00049591064453125, 0.0004482269287109375,
- 0.03560233116149902, 0.039055585861206055,
- 0.000621795654296875, 0.0005781650543212891,
- 0.0005023479461669922, 0.0004353523254394531,
- 0.03608846664428711, 0.0006020069122314453,
- 0.0008251667022705078, 0.0004341602325439453,
- 0.000392913818359375, 0.035665273666381836,
- 0.06166577339172363, 0.0007131099700927734,
- 0.0005435943603515625]},
- {'mode': 'markers',
- 'name': 'Sample 5',
- 'type': 'scatter',
- 'x': [1, 2, 2, 7, 3, 3, 2, 4, 2, 10, 4, 3, 2, 4, 2, 7, 7, 7, 3, 3,
- 3, 1, 5, 1, 9, 1, 6, 3, 4, 3, 3, 4, 9, 7, 7, 7, 5, 5, 4, 3, 2,
- 1, 4, 7, 7, 1, 1, 1, 1, 1, 1, 5, 1, 3, 3, 1, 1, 1, 1, 1, 1, 1,
- 2, 5, 1, 4, 4, 4, 5, 3, 3, 4, 8, 3, 11, 6, 4, 1, 1, 1, 1, 1, 1,
- 6, 3, 2, 1, 4],
- 'y': [0.04411935806274414, 0.042498111724853516,
- 0.042360544204711914, 0.0006504058837890625,
- 0.00054168701171875, 0.0005021095275878906,
- 0.043607234954833984, 0.0005960464477539062,
- 0.0005099773406982422, 0.0004298686981201172,
- 0.00035309791564941406, 0.04211235046386719,
- 0.0007839202880859375, 0.0006015300750732422,
- 0.0005962848663330078, 0.041135549545288086,
- 0.04714035987854004, 0.00025725364685058594,
- 0.00024580955505371094, 0.04346513748168945,
- 0.04325985908508301, 0.0004603862762451172,
- 0.0003962516784667969, 0.00038743019104003906,
- 0.0004324913024902344, 0.04158592224121094,
- 0.04243946075439453, 0.00032639503479003906,
- 0.0003154277801513672, 0.04255366325378418,
- 0.0004961490631103516, 0.04220747947692871,
- 0.0005002021789550781, 0.0004379749298095703,
- 0.00030112266540527344, 0.00028443336486816406,
- 0.041449546813964844, 0.0005028247833251953,
- 0.0006859302520751953, 0.0003132820129394531,
- 0.0003445148468017578, 0.041501760482788086,
- 0.0005369186401367188, 0.043322086334228516,
- 0.0005812644958496094, 0.0006499290466308594,
- 0.0005171298980712891, 0.00040435791015625,
- 0.03967165946960449, 0.0003871917724609375,
- 0.000339508056640625, 0.00031685829162597656,
- 0.043299198150634766, 0.0003142356872558594,
- 0.0004494190216064453, 0.0003173351287841797,
- 0.0002586841583251953, 0.04445457458496094,
- 0.00026702880859375, 0.0002384185791015625,
- 0.00021266937255859375, 0.00023436546325683594,
- 0.03985857963562012, 0.0005190372467041016,
- 0.0004825592041015625, 0.044085025787353516, 0.00042724609375,
- 0.00035762786865234375, 0.0003459453582763672,
- 0.0004661083221435547, 0.03966093063354492,
- 0.0004951953887939453, 0.0004363059997558594,
- 0.04251503944396973, 0.0006127357482910156,
- 0.0007796287536621094, 0.048806190490722656,
- 0.0004069805145263672, 0.00030684471130371094,
- 0.0002675056457519531, 0.0002605915069580078,
- 0.03645610809326172, 0.00045871734619140625,
- 0.0004115104675292969, 0.0003986358642578125,
- 0.04756641387939453, 0.0004849433898925781,
- 0.0004837512969970703]},
- {'mode': 'markers',
- 'name': 'Sample 4',
- 'type': 'scatter',
- 'x': [2, 1, 7, 2, 2, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 3, 6, 4, 8, 9,
- 5, 1, 2, 1, 2, 4, 3, 10, 8, 6, 1, 2, 1, 2, 3, 9, 1, 5, 1, 3, 1,
- 2, 3, 2, 2, 2, 1, 1, 4, 9, 1, 5, 9, 7, 3, 3, 3, 1, 2, 3, 3, 3,
- 4, 4, 6, 1, 12, 3, 6, 4, 3, 3, 3, 8, 1, 7, 4, 6, 4, 3, 10, 3,
- 1],
- 'y': [0.04870343208312988, 0.0008754730224609375,
- 0.0006856918334960938, 0.05052924156188965,
- 0.0007612705230712891, 0.0007138252258300781,
- 0.05945396423339844, 0.0007116794586181641,
- 0.0006721019744873047, 0.03676009178161621,
- 0.0006625652313232422, 0.00060272216796875,
- 0.041220903396606445, 0.0007605552673339844,
- 0.09726071357727051, 0.0006399154663085938,
- 0.0005872249603271484, 0.010589838027954102,
- 0.0005767345428466797, 0.0005838871002197266,
- 0.04316306114196777, 0.0007243156433105469,
- 0.0007395744323730469, 0.049043893814086914,
- 0.0007297992706298828, 0.0009777545928955078,
- 0.05614209175109863, 0.0035529136657714844,
- 0.0007302761077880859, 0.03273773193359375,
- 0.0005092620849609375, 0.0004992485046386719,
- 0.04534482955932617, 0.0006175041198730469, 0.0005035400390625,
- 0.056000471115112305, 0.0006108283996582031,
- 0.0006892681121826172, 0.05494189262390137,
- 0.0006136894226074219, 0.0005955696105957031,
- 0.047585487365722656, 0.0006284713745117188,
- 0.0006136894226074219, 0.05201530456542969,
- 0.0007119178771972656, 0.0006422996520996094,
- 0.049916744232177734, 0.0007357597351074219,
- 0.0007643699645996094, 0.032527923583984375,
- 0.0005996227264404297, 0.0005996227264404297,
- 0.04884958267211914, 0.0007956027984619141,
- 0.047966718673706055, 0.0006067752838134766,
- 0.0005893707275390625, 0.050232887268066406,
- 0.0006134510040283203, 0.0005927085876464844, 0.0411376953125,
- 0.0005886554718017578, 0.0005781650543212891,
- 0.04338359832763672, 0.0007481575012207031,
- 0.0007712841033935547, 0.055136680603027344,
- 0.0027420520782470703, 0.0027091503143310547,
- 0.032217979431152344, 0.004677534103393555,
- 0.004688739776611328, 0.05284762382507324,
- 0.0007617473602294922, 0.0007486343383789062,
- 0.02643418312072754, 0.0007987022399902344,
- 0.0007715225219726562, 0.04969930648803711,
- 0.0008134841918945312, 0.0008161067962646484,
- 0.0007889270782470703, 0.0007808208465576172]},
- {'mode': 'markers',
- 'name': 'Sample 5',
- 'type': 'scatter',
- 'x': [2, 1, 7, 2, 2, 3, 5, 10, 4, 9, 2, 7, 7, 7, 3, 3, 3, 1, 5, 1,
- 6, 5, 3, 7, 3, 4, 9, 7, 7, 7, 4, 2, 3, 1, 4, 7, 3, 1, 2, 1, 1,
- 1, 5, 1, 7, 1, 1, 1, 3, 7, 1, 4, 4, 4, 9, 3, 9, 6, 4, 1, 1, 1,
- 3, 6, 3, 1],
- 'y': [0.015603780746459961, 0.0005910396575927734,
- 0.0005669593811035156, 0.05751180648803711,
- 0.0006768703460693359, 0.0006248950958251953,
- 0.17932343482971191, 0.0006248950958251953,
- 0.0006041526794433594, 0.036344051361083984,
- 0.0007562637329101562, 0.0007996559143066406,
- 0.0007388591766357422, 0.000698089599609375,
- 0.0032875537872314453, 0.0007140636444091797,
- 0.0006976127624511719, 0.0006957054138183594,
- 0.0006902217864990234, 0.04928946495056152,
- 0.0006926059722900391, 0.0007088184356689453,
- 0.04145336151123047, 0.0008268356323242188,
- 0.0007395744323730469, 0.04828476905822754,
- 0.0007398128509521484, 0.0007483959197998047,
- 0.05336332321166992, 0.001009225845336914,
- 0.0009894371032714844, 0.05631303787231445,
- 0.0009996891021728516, 0.0009918212890625, 0.0393061637878418,
- 0.0012066364288330078, 0.0009784698486328125,
- 0.05166935920715332, 0.0010085105895996094,
- 0.0009777545928955078, 0.04931902885437012,
- 0.0010004043579101562, 0.0009801387786865234,
- 0.050997257232666016, 0.0009813308715820312,
- 0.0009334087371826172, 0.04729890823364258,
- 0.0010924339294433594, 0.0009469985961914062,
- 0.04869866371154785, 0.0009634494781494141,
- 0.0009560585021972656, 0.050952911376953125,
- 0.001001596450805664, 0.0009922981262207031,
- 0.04859519004821777, 0.0009877681732177734,
- 0.0009810924530029297, 0.04834723472595215,
- 0.0010945796966552734, 0.0009770393371582031,
- 0.048398733139038086, 0.0009751319885253906,
- 0.0009753704071044922, 0.0010814666748046875,
- 0.0009486675262451172]},
- {'mode': 'markers',
- 'name': 'Sample 4',
- 'type': 'scatter',
- 'x': [1, 2, 2, 7, 3, 3, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 9, 6, 4, 8,
- 1, 9, 5, 1, 1, 1, 1, 1, 1, 2, 2, 3, 4, 3, 3, 8, 1, 5, 2, 3, 1,
- 3, 1, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 4, 6, 5, 3, 9, 1, 12, 4, 4,
- 3, 7, 4, 6, 6, 1, 1, 1, 1, 1, 1, 3, 3, 3, 3, 3, 2, 1, 4],
- 'y': [0.040894508361816406, 0.17456650733947754,
- 0.047301530838012695, 0.0003261566162109375,
- 0.00032210350036621094, 0.0003070831298828125,
- 0.04634594917297363, 0.00029587745666503906,
- 0.04378390312194824, 0.0003039836883544922,
- 0.0002963542938232422, 0.0002579689025878906,
- 0.000255584716796875, 0.03963279724121094,
- 0.00030922889709472656, 0.0003070831298828125,
- 0.00029206275939941406, 0.0002868175506591797,
- 0.03844881057739258, 0.00032782554626464844,
- 0.0003237724304199219, 0.0003101825714111328,
- 0.0003046989440917969, 0.0403895378112793,
- 0.0004048347473144531, 0.000385284423828125,
- 0.0003724098205566406, 0.00037741661071777344,
- 0.04168558120727539, 0.0003974437713623047,
- 0.0003883838653564453, 0.0003688335418701172,
- 0.001092672348022461, 0.03908658027648926,
- 0.0004780292510986328, 0.00041174888610839844,
- 0.0003924369812011719, 0.00036978721618652344,
- 0.036594390869140625, 0.00039696693420410156,
- 0.00038504600524902344, 0.0005986690521240234,
- 0.00037932395935058594, 0.03723287582397461,
- 0.0003979206085205078, 0.0003876686096191406,
- 0.00036978721618652344, 0.0004088878631591797,
- 0.040205955505371094, 0.0004036426544189453,
- 0.0003998279571533203, 0.0003871917724609375,
- 0.0003490447998046875, 0.03879904747009277,
- 0.00038552284240722656, 0.000377655029296875,
- 0.0003769397735595703, 0.034783124923706055,
- 0.00041174888610839844, 0.03948378562927246,
- 0.04220890998840332, 0.03983759880065918, 0.03954482078552246,
- 0.00039076805114746094, 0.0003876686096191406,
- 0.0003757476806640625, 0.00035834312438964844,
- 0.03757929801940918, 0.04147195816040039,
- 0.0004000663757324219, 0.00039768218994140625,
- 0.0003752708435058594, 0.00044465065002441406,
- 0.04171347618103027, 0.00040340423583984375,
- 0.0003955364227294922, 0.0003895759582519531,
- 0.00038242340087890625, 0.03504776954650879,
- 0.04073190689086914, 0.0004036426544189453,
- 0.0004410743713378906]},
- {'mode': 'markers',
- 'name': 'Sample 5',
- 'type': 'scatter',
- 'x': [1, 2, 2, 7, 3, 3, 2, 4, 2, 10, 4, 3, 2, 4, 2, 7, 7, 7, 3, 3,
- 3, 1, 5, 1, 9, 1, 6, 3, 4, 3, 3, 4, 9, 7, 7, 7, 5, 5, 4, 3, 2,
- 1, 4, 7, 7, 1, 1, 1, 1, 1, 1, 5, 1, 3, 3, 1, 1, 1, 1, 1, 1, 1,
- 2, 5, 1, 4, 4, 4, 5, 3, 3, 4, 8, 3, 11, 6, 4, 1, 1, 1, 1, 1, 1,
- 6, 3, 2, 1, 4],
- 'y': [0.02389812469482422, 0.036725521087646484,
- 0.03748202323913574, 0.0003993511199951172,
- 0.00040149688720703125, 0.00037860870361328125,
- 0.03656482696533203, 0.00037789344787597656,
- 0.00035452842712402344, 0.0003368854522705078,
- 0.0003323554992675781, 0.03852534294128418,
- 0.00041961669921875, 0.0003974437713623047,
- 0.00035190582275390625, 0.03538036346435547,
- 0.0386195182800293, 0.0003879070281982422,
- 0.00038504600524902344, 0.03581666946411133,
- 0.03861117362976074, 0.0003764629364013672,
- 0.0003905296325683594, 0.0003390312194824219,
- 0.0003447532653808594, 0.03829693794250488,
- 0.03678441047668457, 0.0003509521484375, 0.000347137451171875,
- 0.03667020797729492, 0.0003821849822998047,
- 0.038771867752075195, 0.0003814697265625,
- 0.0004105567932128906, 0.00036406517028808594,
- 0.0003502368927001953, 0.03686046600341797,
- 0.00038504600524902344, 0.0004894733428955078,
- 0.00035858154296875, 0.0003566741943359375,
- 0.036455631256103516, 0.00041294097900390625,
- 0.03857111930847168, 0.00039124488830566406,
- 0.0003914833068847656, 0.00037932395935058594,
- 0.0003573894500732422, 0.04038119316101074,
- 0.000392913818359375, 0.0005247592926025391,
- 0.0004410743713378906, 0.1658310890197754,
- 0.0004050731658935547, 0.000396728515625,
- 0.0003733634948730469, 0.0003719329833984375,
- 0.039269447326660156, 0.0003829002380371094,
- 0.0003581047058105469, 0.0003204345703125,
- 0.000347137451171875, 0.04003787040710449,
- 0.0003342628479003906, 0.000331878662109375,
- 0.038649797439575195, 0.0004029273986816406,
- 0.00040411949157714844, 0.00037288665771484375,
- 0.0003476142883300781, 0.03940582275390625,
- 0.0004019737243652344, 0.00039839744567871094,
- 0.039518117904663086, 0.0003998279571533203,
- 0.00047516822814941406, 0.03865957260131836,
- 0.0003979206085205078, 0.00039958953857421875,
- 0.000392913818359375, 0.0003399848937988281,
- 0.038704872131347656, 0.0004055500030517578,
- 0.0004029273986816406, 0.00038886070251464844,
- 0.059705257415771484, 0.00041031837463378906,
- 0.0004134178161621094]},
- {'mode': 'markers',
- 'name': 'Sample 4',
- 'type': 'scatter',
- 'x': [1, 2, 2, 7, 3, 3, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 3, 6, 4, 8,
- 1, 9, 5, 1, 1, 1, 1, 1, 1, 2, 2, 3, 10, 4, 8, 6, 1, 1, 1, 1, 1,
- 1, 3, 9, 1, 5, 1, 3, 3, 3, 1, 1, 1, 1, 2, 4, 9, 1, 6, 4, 6, 4,
- 2, 6, 3, 7, 4, 6, 3, 2, 1, 4],
- 'y': [0.0005474090576171875, 0.027386903762817383,
- 0.00035643577575683594, 0.0003509521484375,
- 0.0003695487976074219, 0.00035881996154785156,
- 0.02797675132751465, 0.0003612041473388672,
- 0.029891014099121094, 0.00029969215393066406,
- 0.0002951622009277344, 0.0002720355987548828,
- 0.00026226043701171875, 0.03091716766357422,
- 0.00028896331787109375, 0.00028824806213378906,
- 0.0002532005310058594, 0.0002422332763671875,
- 0.15184831619262695, 0.028398752212524414,
- 0.00031685829162597656, 0.0003097057342529297,
- 0.00029349327087402344, 0.0002925395965576172,
- 0.04083847999572754, 0.00032711029052734375,
- 0.0003230571746826172, 0.00030541419982910156,
- 0.00029754638671875, 0.01632523536682129,
- 0.0002949237823486328, 0.00029349327087402344,
- 0.0003380775451660156, 0.00043201446533203125,
- 0.024099111557006836, 0.02512669563293457, 0.02952861785888672,
- 0.0003464221954345703, 0.0003380775451660156,
- 0.00032210350036621094, 0.00031113624572753906,
- 0.019763708114624023, 0.0004520416259765625,
- 0.0003960132598876953, 0.030102252960205078,
- 0.0004012584686279297, 0.0003902912139892578,
- 0.022861719131469727, 0.0005650520324707031,
- 0.0005576610565185547, 0.028072118759155273,
- 0.0002777576446533203, 0.00027298927307128906,
- 0.023687362670898438, 0.000286102294921875,
- 0.0002913475036621094, 0.0002593994140625,
- 0.00027823448181152344, 0.021100282669067383,
- 0.027158737182617188, 0.027317523956298828,
- 0.02446722984313965, 0.0005373954772949219,
- 0.028754472732543945, 0.027008056640625,
- 0.00027179718017578125, 0.0002655982971191406,
- 0.025178194046020508, 0.027467727661132812,
- 0.0002765655517578125, 0.02838897705078125,
- 0.00026726722717285156, 0.021776199340820312]},
- {'mode': 'markers',
- 'name': 'Sample 5',
- 'type': 'scatter',
- 'x': [1, 2, 2, 7, 3, 3, 2, 1, 3, 2, 10, 9, 2, 7, 7, 7, 3, 3, 3, 1,
- 5, 1, 6, 5, 3, 10, 2, 3, 5, 4, 4, 8, 3, 4, 9, 7, 7, 7, 5, 5, 5,
- 2, 3, 1, 4, 7, 3, 1, 1, 1, 1, 1, 1, 5, 1, 6, 1, 1, 1, 1, 1, 1,
- 1, 4, 3, 1, 4, 4, 4, 5, 3, 3, 4, 1, 3, 4, 4, 10, 3, 9, 7, 6, 4,
- 1, 1, 1, 1, 1, 1, 6, 3, 2, 1, 4],
- 'y': [0.0005931854248046875, 0.02092146873474121,
- 0.0004723072052001953, 0.0005333423614501953,
- 0.0005037784576416016, 0.0005061626434326172,
- 0.019067764282226562, 0.020663022994995117,
- 0.0005545616149902344, 0.0005629062652587891,
- 0.0005033016204833984, 0.0005269050598144531,
- 0.018299102783203125, 0.0005452632904052734,
- 0.02031874656677246, 0.0005550384521484375,
- 0.0005700588226318359, 0.02047872543334961,
- 0.01972365379333496, 0.00037550926208496094,
- 0.00037026405334472656, 0.00035834312438964844,
- 0.019721269607543945, 0.020390033721923828,
- 0.02703571319580078, 0.0003650188446044922,
- 0.01171731948852539, 0.0003592967987060547,
- 0.00036406517028808594, 0.01984262466430664,
- 0.0004436969757080078, 0.018506526947021484,
- 0.000377655029296875, 0.019510984420776367,
- 0.0003790855407714844, 0.01960277557373047,
- 0.00039577484130859375, 0.00038361549377441406,
- 0.0006175041198730469, 0.023877859115600586,
- 0.0003859996795654297, 0.020222187042236328,
- 0.018988847732543945, 0.00037384033203125,
- 0.0004515647888183594, 0.018201351165771484,
- 0.0003991127014160156, 0.00039124488830566406,
- 0.02083611488342285, 0.020326852798461914,
- 0.00039577484130859375, 0.0003635883331298828,
- 0.0003707408905029297, 0.0003528594970703125,
- 0.018456220626831055, 0.02429938316345215, 0.000396728515625,
- 0.00037598609924316406, 0.0003447532653808594,
- 0.0003361701965332031, 0.01441049575805664,
- 0.00035381317138671875, 0.0003571510314941406,
- 0.00037741661071777344, 0.0003509521484375,
- 0.01781296730041504, 0.024484634399414062,
- 0.00042366981506347656, 0.00038242340087890625,
- 0.020982742309570312, 0.00043272972106933594,
- 0.00037217140197753906, 0.0003573894500732422,
- 0.00035309791564941406, 0.01815032958984375,
- 0.00038623809814453125, 0.01983332633972168,
- 0.019982337951660156, 0.021914958953857422,
- 0.00043773651123046875, 0.00045990943908691406,
- 0.0003650188446044922, 0.00035643577575683594,
- 0.023973703384399414, 0.00038552284240722656,
- 0.0003807544708251953, 0.0003571510314941406,
- 0.000347137451171875, 0.014351606369018555,
- 0.00035834312438964844, 0.000370025634765625,
- 0.02260756492614746, 0.0003604888916015625,
- 0.017879009246826172]},
- {'mode': 'markers',
- 'name': 'Sample 4',
- 'type': 'scatter',
- 'x': [1, 1, 1, 2, 7, 2, 2, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 10, 6,
- 4, 8, 1, 9, 3, 1, 1, 1, 1, 1, 3, 2, 2, 3, 10, 8, 4, 8, 6, 1, 1,
- 1, 1, 1, 3, 3, 9, 1, 7, 6, 5, 2, 3, 1, 3, 3, 3, 1, 1, 1, 2, 2,
- 4, 9, 3, 6, 1, 4, 6, 1, 4, 6, 4, 3, 4, 2, 6, 3, 7, 4, 6, 1, 6,
- 4, 3, 3, 3, 5, 3, 4, 5, 9, 2],
- 'y': [0.29203152656555176, 0.03283214569091797,
- 0.032903432846069336, 0.032697439193725586, 0.0333864688873291,
- 0.03369426727294922, 0.03273463249206543, 0.0335843563079834,
- 0.03351926803588867, 0.03276228904724121, 0.03308916091918945,
- 0.03295564651489258, 0.03250241279602051, 0.0329282283782959,
- 0.03304266929626465, 0.032469987869262695, 0.03328967094421387,
- 0.03281092643737793, 0.03333854675292969, 0.03391671180725098,
- 0.032930850982666016, 0.033084869384765625,
- 0.03351187705993652, 0.033582448959350586, 0.03381013870239258,
- 0.03433728218078613, 0.03372526168823242, 0.03335857391357422,
- 0.03373432159423828, 0.03283834457397461, 0.033095598220825195,
- 0.03304314613342285, 0.03267860412597656, 0.03285098075866699,
- 0.03281903266906738, 0.032959938049316406, 0.03292489051818848,
- 0.03278708457946777, 0.03318333625793457, 0.03335380554199219,
- 0.033308982849121094, 0.0345308780670166, 0.03380846977233887,
- 0.032709598541259766, 0.09348464012145996,
- 0.034333229064941406, 0.03458261489868164,
- 0.034612178802490234, 0.03476095199584961, 0.03465151786804199,
- 0.03463006019592285, 0.03491806983947754, 0.03465104103088379,
- 0.03501248359680176, 0.03457069396972656, 0.034523963928222656,
- 0.03483152389526367, 0.03526139259338379, 0.03551173210144043,
- 0.03525495529174805, 0.0344393253326416, 0.035164833068847656,
- 0.03458738327026367, 0.03454756736755371, 0.03471851348876953,
- 0.03469729423522949, 0.03504824638366699, 0.0347743034362793,
- 0.03462553024291992, 0.03461623191833496, 0.03480720520019531,
- 0.03456473350524902, 0.03455233573913574, 0.034876346588134766,
- 0.03455662727355957, 0.03466391563415527, 0.03458976745605469,
- 0.03463411331176758, 0.03481698036193848, 0.03476357460021973,
- 0.03433370590209961, 0.034842491149902344, 0.03489208221435547,
- 0.03453636169433594, 0.03464221954345703, 0.03512287139892578,
- 0.034854888916015625, 0.03476405143737793, 0.03532838821411133,
- 0.03505563735961914, 0.03478693962097168, 0.03479576110839844,
- 0.03597259521484375]},
- {'mode': 'markers',
- 'name': 'Sample 5',
- 'type': 'scatter',
- 'x': [1, 1, 1, 2, 7, 2, 2, 2, 1, 3, 2, 10, 9, 6, 7, 7, 7, 1, 10, 1,
- 1, 1, 1, 1, 7, 5, 4, 6, 3, 1, 1, 1, 1, 1, 1, 4, 3, 1, 5, 4, 5,
- 3, 3, 4, 3, 2, 7, 5, 1, 3, 3, 3, 1, 5, 7, 9, 3, 3, 5, 4, 1, 4,
- 7, 5, 6, 2, 7, 3, 4, 9, 7, 7, 7, 5, 5, 4, 2, 3, 1, 5, 4, 10, 3,
- 9, 7, 6, 4, 1, 1, 1, 1, 1, 1],
- 'y': [0.3191962242126465, 0.03439736366271973, 0.0346066951751709,
- 0.03457045555114746, 0.03481411933898926, 0.03466367721557617,
- 0.03485512733459473, 0.03488326072692871, 0.03468489646911621,
- 0.03450775146484375, 0.034476280212402344, 0.0350339412689209,
- 0.034369707107543945, 0.03459429740905762,
- 0.034775733947753906, 0.03458404541015625,
- 0.034738779067993164, 0.03464984893798828, 0.03462100028991699,
- 0.035047054290771484, 0.03406357765197754,
- 0.033284664154052734, 0.03309369087219238,
- 0.032596588134765625, 0.032898664474487305,
- 0.03327584266662598, 0.033599138259887695, 0.03312397003173828,
- 0.032560110092163086, 0.03315234184265137,
- 0.033312320709228516, 0.03292703628540039, 0.0326542854309082,
- 0.03288722038269043, 0.03300356864929199, 0.03302884101867676,
- 0.0329432487487793, 0.03272128105163574, 0.03258252143859863,
- 0.03291749954223633, 0.03285479545593262, 0.03288435935974121,
- 0.0328364372253418, 0.03286385536193848, 0.03295111656188965,
- 0.09342193603515625, 0.034517765045166016, 0.03486037254333496,
- 0.03491663932800293, 0.03512263298034668, 0.03472304344177246,
- 0.034882545471191406, 0.034691572189331055,
- 0.03471207618713379, 0.034851789474487305, 0.0388338565826416,
- 0.0322721004486084, 0.03311443328857422, 0.03504824638366699,
- 0.03476595878601074, 0.03457379341125488, 0.03501749038696289,
- 0.0348515510559082, 0.03446173667907715, 0.03457999229431152,
- 0.03487110137939453, 0.034496307373046875, 0.03483009338378906,
- 0.034899234771728516, 0.03495144844055176, 0.03490757942199707,
- 0.034723520278930664, 0.03467369079589844,
- 0.034790754318237305, 0.034435272216796875,
- 0.03470420837402344, 0.034731149673461914,
- 0.034804344177246094, 0.03503060340881348,
- 0.034757137298583984, 0.03470921516418457, 0.034759521484375,
- 0.03452253341674805, 0.03484058380126953, 0.034662723541259766,
- 0.03478074073791504, 0.03480195999145508, 0.03483176231384277,
- 0.03486514091491699, 0.034708499908447266, 0.03481769561767578,
- 0.034828901290893555, 0.03598666191101074]},
- {'mode': 'markers',
- 'name': 'Sample 4',
- 'type': 'scatter',
- 'x': [1, 1, 1, 7, 2, 2, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 10, 6, 4,
- 8, 5, 1, 1, 1, 1, 1, 1, 2, 2, 3, 10, 3, 1, 1, 1, 1, 1, 1, 3, 9,
- 1, 4, 2, 6, 3, 7, 4, 6, 4, 9, 1, 5, 2, 3, 1, 9, 3, 3, 1, 1, 1,
- 1, 2, 3, 6, 1, 4, 6, 1, 4, 6, 1, 3, 3, 3, 5, 3, 2, 1, 1],
- 'y': [0.05981945991516113, 0.03278851509094238, 0.03321218490600586,
- 0.032958030700683594, 0.032674551010131836,
- 0.032765865325927734, 0.032770633697509766,
- 0.03294086456298828, 0.032735347747802734,
- 0.032965660095214844, 0.03274178504943848, 0.03290057182312012,
- 0.03272533416748047, 0.03286290168762207, 0.032956600189208984,
- 0.03273510932922363, 0.03265714645385742, 0.03278064727783203,
- 0.032936811447143555, 0.032576799392700195, 0.0328059196472168,
- 0.032927751541137695, 0.032758235931396484,
- 0.032700538635253906, 0.03328442573547363, 0.03281211853027344,
- 0.03307914733886719, 0.03279566764831543, 0.032915592193603516,
- 0.03271317481994629, 0.03284645080566406, 0.03290104866027832,
- 0.03315019607543945, 0.03304433822631836, 0.03294825553894043,
- 0.0330052375793457, 0.03303265571594238, 0.03264307975769043,
- 0.03333902359008789, 0.03295540809631348, 0.03319859504699707,
- 0.03255200386047363, 0.03293633460998535, 0.032758474349975586,
- 0.03290152549743652, 0.03271842002868652, 0.032773494720458984,
- 0.03285479545593262, 0.03296375274658203, 0.09247732162475586,
- 0.03456616401672363, 0.034454345703125, 0.03516411781311035,
- 0.034887075424194336, 0.034676313400268555, 0.0350947380065918,
- 0.03420519828796387, 0.03480863571166992, 0.03480935096740723,
- 0.03424787521362305, 0.03504800796508789, 0.03503155708312988,
- 0.03432178497314453, 0.034647464752197266, 0.03471994400024414,
- 0.03456759452819824, 0.035036563873291016, 0.03487205505371094,
- 0.035205841064453125, 0.035007476806640625,
- 0.03493475914001465, 0.03468513488769531, 0.03441667556762695,
- 0.03445005416870117, 0.03475356101989746, 0.034517526626586914,
- 0.03453946113586426, 0.03484487533569336, 0.0344843864440918,
- 0.03486275672912598, 0.034476518630981445]},
- {'mode': 'markers',
- 'name': 'Sample 5',
- 'type': 'scatter',
- 'x': [1, 1, 1, 7, 2, 2, 2, 1, 3, 2, 10, 9, 2, 1, 1, 1, 1, 1, 1, 5,
- 1, 1, 1, 1, 1, 1, 1, 4, 2, 7, 7, 7, 3, 3, 3, 1, 5, 7, 9, 3, 3,
- 5, 4, 4, 7, 3, 4, 9, 7, 7, 7, 5, 5, 4, 2, 3, 1, 4, 7, 1, 5, 4,
- 5, 3, 3, 4, 3, 2, 7, 5, 1, 4, 4, 9, 3, 9, 6, 4, 14, 1, 1, 1, 1,
- 1, 1, 6, 2, 1, 1],
- 'y': [0.08887290954589844, 0.0348968505859375, 0.03470492362976074,
- 0.03525424003601074, 0.03520679473876953, 0.03508734703063965,
- 0.034812211990356445, 0.034960031509399414,
- 0.03452587127685547, 0.03465533256530762, 0.03512001037597656,
- 0.034726619720458984, 0.034716129302978516,
- 0.03515887260437012, 0.03510642051696777, 0.0345458984375,
- 0.0344538688659668, 0.03431105613708496, 0.035256147384643555,
- 0.03518390655517578, 0.034363746643066406, 0.03509163856506348,
- 0.034417152404785156, 0.03467822074890137, 0.03468632698059082,
- 0.03481149673461914, 0.03445839881896973, 0.0347895622253418,
- 0.03457474708557129, 0.03464198112487793, 0.03458213806152344,
- 0.03482794761657715, 0.03453969955444336, 0.03464102745056152,
- 0.03465890884399414, 0.03532719612121582, 0.03472542762756348,
- 0.034560203552246094, 0.034698486328125, 0.034545183181762695,
- 0.035662174224853516, 0.03540325164794922, 0.03609871864318848,
- 0.03500676155090332, 0.03359699249267578, 0.03397035598754883,
- 0.03375244140625, 0.03346681594848633, 0.03705739974975586,
- 0.028878211975097656, 0.03299999237060547,
- 0.033325910568237305, 0.032567739486694336,
- 0.032694339752197266, 0.03293752670288086,
- 0.032730817794799805, 0.033032894134521484,
- 0.03293967247009277, 0.03309369087219238, 0.03356218338012695,
- 0.031963348388671875, 0.03312540054321289, 0.0328676700592041,
- 0.03309488296508789, 0.03348183631896973, 0.033600568771362305,
- 0.10021185874938965, 0.0346827507019043, 0.03480267524719238,
- 0.034384727478027344, 0.03495979309082031, 0.03483843803405762,
- 0.035019874572753906, 0.03429579734802246, 0.03445291519165039,
- 0.034758806228637695, 0.034937381744384766,
- 0.03462028503417969, 0.0346221923828125, 0.03470325469970703,
- 0.03644084930419922, 0.03300881385803223, 0.034576416015625,
- 0.0345919132232666, 0.035041093826293945, 0.034650325775146484,
- 0.03456282615661621, 0.03487992286682129, 0.03429698944091797]},
- {'mode': 'markers',
- 'name': 'Sample 4',
- 'type': 'scatter',
- 'x': [3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 9, 6, 4, 8, 1, 9, 5, 1, 1, 1,
- 1, 1, 1, 2, 2, 3, 4, 3, 3, 8, 1, 4, 3, 4, 6, 4, 5, 7, 3, 3, 4,
- 6, 1, 5, 4, 8, 3, 7, 3, 6, 6, 1, 1, 1, 1, 1, 1, 3, 3, 3, 3, 1,
- 5, 1, 3, 1, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 4, 7, 4, 6, 4, 3, 3,
- 1, 1, 1, 1, 2, 3, 6, 1, 4],
- 'y': [0.10777139663696289, 0.011676311492919922,
- 0.02086806297302246, 0.0027649402618408203,
- 0.011400461196899414, 0.011553287506103516,
- 0.01157236099243164, 0.011250734329223633,
- 0.011622905731201172, 0.010651350021362305,
- 0.010990619659423828, 0.011121034622192383,
- 0.011077165603637695, 0.011278867721557617, 0.0109405517578125,
- 0.01102304458618164, 0.010970830917358398,
- 0.010951042175292969, 0.011020421981811523,
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-})",Scatter plot of chunk_sizes and chunk_generation_times for english|json
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- 0.03646278381347656, 0.033067941665649414,
- 0.029282808303833008, 0.03278827667236328, 0.03331494331359863,
- 0.03303718566894531, 0.03289794921875, 0.03265857696533203,
- 0.0331120491027832, 0.03316450119018555, 0.032842159271240234,
- 0.032830238342285156, 0.032860517501831055,
- 0.03291964530944824, 0.033174753189086914,
- 0.033357858657836914, 0.033212900161743164,
- 0.03300285339355469, 0.03316664695739746, 0.03301429748535156,
- 0.03291773796081543, 0.032790422439575195, 0.03273344039916992,
- 0.03299069404602051, 0.03344869613647461, 0.03330826759338379,
- 0.03283953666687012, 0.032941579818725586, 0.0330507755279541,
- 0.0325772762298584, 0.03269147872924805, 0.032750844955444336,
- 0.03283333778381348, 0.032738447189331055,
- 0.033026933670043945, 0.03251242637634277, 0.03325223922729492,
- 0.032497406005859375]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 5',
- 'type': 'histogram2d',
- 'x': [1, 1, 1, 7, 2, 2, 2, 1, 3, 2, 10, 9, 2, 1, 1, 1, 1, 1, 1, 5,
- 1, 1, 1, 1, 1, 1, 1, 4, 2, 7, 7, 7, 3, 3, 3, 1, 5, 7, 9, 3, 3,
- 5, 4, 4, 7, 3, 4, 9, 7, 7, 7, 5, 5, 4, 2, 3, 1, 4, 7, 1, 5, 4,
- 5, 3, 3, 4, 3, 2, 7, 5, 1, 4, 4, 9, 3, 9, 6, 4, 14, 1, 1, 1, 1,
- 1, 1, 6, 2, 1, 1],
- 'y': [0.05948185920715332, 0.03695845603942871,
- 0.031099557876586914, 0.03120255470275879, 0.03287482261657715,
- 0.03280186653137207, 0.03328275680541992, 0.03304576873779297,
- 0.03307843208312988, 0.032563209533691406, 0.03278160095214844,
- 0.03271961212158203, 0.03270268440246582, 0.033188581466674805,
- 0.032707929611206055, 0.03281736373901367, 0.03281068801879883,
- 0.0328516960144043, 0.03278326988220215, 0.03271198272705078,
- 0.032724857330322266, 0.03273510932922363, 0.0328059196472168,
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- 0.031944990158081055, 0.03381824493408203,
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- 0.03282880783081055, 0.03279852867126465, 0.03264617919921875,
- 0.032649993896484375, 0.033190011978149414,
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- 0.03222084045410156, 0.03352808952331543, 0.033272504806518555,
- 0.03400707244873047, 0.035341739654541016, 0.03473043441772461,
- 0.028969526290893555, 0.032972097396850586,
- 0.032877445220947266, 0.03284955024719238, 0.03296399116516113,
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- 0.03315997123718262, 0.03285479545593262, 0.03286433219909668,
- 0.033128976821899414, 0.03247261047363281,
- 0.032787322998046875, 0.03343009948730469, 0.03373527526855469,
- 0.03331756591796875, 0.03303098678588867, 0.032538414001464844,
- 0.03347206115722656, 0.03288912773132324, 0.03327775001525879,
- 0.03294539451599121, 0.03243112564086914, 0.03465151786804199,
- 0.03194880485534668, 0.03228306770324707, 0.032750606536865234,
- 0.03286385536193848, 0.03277707099914551, 0.03328990936279297,
- 0.03328752517700195, 0.03357958793640137, 0.03311896324157715,
- 0.03277444839477539, 0.03243660926818848, 0.03304314613342285,
- 0.033922433853149414, 0.03299450874328613,
- 0.032975196838378906, 0.0327916145324707, 0.03257894515991211]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 4',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, 7, 3, 3, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 9, 6, 4, 8,
- 1, 9, 5, 1, 1, 1, 1, 1, 1, 2, 2, 3, 4, 3, 3, 8, 1, 5, 2, 3, 1,
- 3, 1, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 4, 6, 5, 3, 9, 1, 12, 4, 4,
- 3, 7, 4, 6, 6, 1, 1, 1, 1, 1, 1, 3, 3, 3, 3, 3, 2, 1, 4],
- 'y': [0.044580698013305664, 0.04812312126159668,
- 0.05114483833312988, 0.004778861999511719,
- 0.011965513229370117, 0.0025997161865234375,
- 0.01915884017944336, 0.0024368762969970703,
- 0.042346954345703125, 0.0011417865753173828,
- 0.00045943260192871094, 0.0003840923309326172,
- 0.0005993843078613281, 0.039794206619262695, 0.00042724609375,
- 0.0004787445068359375, 0.0004673004150390625,
- 0.0004177093505859375, 0.04233098030090332,
- 0.0009753704071044922, 0.0005500316619873047,
- 0.00034928321838378906, 0.0003056526184082031,
- 0.03934979438781738, 0.0003712177276611328,
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- 0.0006554126739501953, 0.0006070137023925781,
- 0.0004811286926269531, 0.00043964385986328125,
- 0.040007591247558594, 0.0007572174072265625,
- 0.0007014274597167969, 0.0005462169647216797,
- 0.000484466552734375, 0.042290687561035156,
- 0.0006864070892333984, 0.0005562305450439453,
- 0.0004591941833496094, 0.0004565715789794922,
- 0.04335331916809082, 0.0024950504302978516,
- 0.002475738525390625, 0.002390623092651367,
- 0.002371549606323242, 0.03076958656311035,
- 0.0024678707122802734, 0.006899356842041016,
- 0.006480693817138672, 0.006663799285888672,
- 0.013115406036376953, 0.0006022453308105469,
- 0.0005123615264892578, 0.00042247772216796875,
- 0.03937053680419922, 0.0007052421569824219, 0.0354914665222168,
- 0.04008746147155762, 0.037667036056518555, 0.03889751434326172,
- 0.0007460117340087891, 0.0006895065307617188,
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- 0.03560233116149902, 0.039055585861206055,
- 0.000621795654296875, 0.0005781650543212891,
- 0.0005023479461669922, 0.0004353523254394531,
- 0.03608846664428711, 0.0006020069122314453,
- 0.0008251667022705078, 0.0004341602325439453,
- 0.000392913818359375, 0.035665273666381836,
- 0.06166577339172363, 0.0007131099700927734,
- 0.0005435943603515625]},
- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 5',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, 7, 3, 3, 2, 4, 2, 10, 4, 3, 2, 4, 2, 7, 7, 7, 3, 3,
- 3, 1, 5, 1, 9, 1, 6, 3, 4, 3, 3, 4, 9, 7, 7, 7, 5, 5, 4, 3, 2,
- 1, 4, 7, 7, 1, 1, 1, 1, 1, 1, 5, 1, 3, 3, 1, 1, 1, 1, 1, 1, 1,
- 2, 5, 1, 4, 4, 4, 5, 3, 3, 4, 8, 3, 11, 6, 4, 1, 1, 1, 1, 1, 1,
- 6, 3, 2, 1, 4],
- 'y': [0.04411935806274414, 0.042498111724853516,
- 0.042360544204711914, 0.0006504058837890625,
- 0.00054168701171875, 0.0005021095275878906,
- 0.043607234954833984, 0.0005960464477539062,
- 0.0005099773406982422, 0.0004298686981201172,
- 0.00035309791564941406, 0.04211235046386719,
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- 0.0005962848663330078, 0.041135549545288086,
- 0.04714035987854004, 0.00025725364685058594,
- 0.00024580955505371094, 0.04346513748168945,
- 0.04325985908508301, 0.0004603862762451172,
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- 0.0004324913024902344, 0.04158592224121094,
- 0.04243946075439453, 0.00032639503479003906,
- 0.0003154277801513672, 0.04255366325378418,
- 0.0004961490631103516, 0.04220747947692871,
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- 0.0004951953887939453, 0.0004363059997558594,
- 0.04251503944396973, 0.0006127357482910156,
- 0.0007796287536621094, 0.048806190490722656,
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- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 4',
- 'type': 'histogram2d',
- 'x': [2, 1, 7, 2, 2, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 3, 6, 4, 8, 9,
- 5, 1, 2, 1, 2, 4, 3, 10, 8, 6, 1, 2, 1, 2, 3, 9, 1, 5, 1, 3, 1,
- 2, 3, 2, 2, 2, 1, 1, 4, 9, 1, 5, 9, 7, 3, 3, 3, 1, 2, 3, 3, 3,
- 4, 4, 6, 1, 12, 3, 6, 4, 3, 3, 3, 8, 1, 7, 4, 6, 4, 3, 10, 3,
- 1],
- 'y': [0.04870343208312988, 0.0008754730224609375,
- 0.0006856918334960938, 0.05052924156188965,
- 0.0007612705230712891, 0.0007138252258300781,
- 0.05945396423339844, 0.0007116794586181641,
- 0.0006721019744873047, 0.03676009178161621,
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- 0.0005872249603271484, 0.010589838027954102,
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- 0.056000471115112305, 0.0006108283996582031,
- 0.0006892681121826172, 0.05494189262390137,
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- 0.04338359832763672, 0.0007481575012207031,
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- 0.0027420520782470703, 0.0027091503143310547,
- 0.032217979431152344, 0.004677534103393555,
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- 0.0007617473602294922, 0.0007486343383789062,
- 0.02643418312072754, 0.0007987022399902344,
- 0.0007715225219726562, 0.04969930648803711,
- 0.0008134841918945312, 0.0008161067962646484,
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- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 5',
- 'type': 'histogram2d',
- 'x': [2, 1, 7, 2, 2, 3, 5, 10, 4, 9, 2, 7, 7, 7, 3, 3, 3, 1, 5, 1,
- 6, 5, 3, 7, 3, 4, 9, 7, 7, 7, 4, 2, 3, 1, 4, 7, 3, 1, 2, 1, 1,
- 1, 5, 1, 7, 1, 1, 1, 3, 7, 1, 4, 4, 4, 9, 3, 9, 6, 4, 1, 1, 1,
- 3, 6, 3, 1],
- 'y': [0.015603780746459961, 0.0005910396575927734,
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- 0.17932343482971191, 0.0006248950958251953,
- 0.0006041526794433594, 0.036344051361083984,
- 0.0007562637329101562, 0.0007996559143066406,
- 0.0007388591766357422, 0.000698089599609375,
- 0.0032875537872314453, 0.0007140636444091797,
- 0.0006976127624511719, 0.0006957054138183594,
- 0.0006902217864990234, 0.04928946495056152,
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- 0.05166935920715332, 0.0010085105895996094,
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- 0.0010004043579101562, 0.0009801387786865234,
- 0.050997257232666016, 0.0009813308715820312,
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- 0.04869866371154785, 0.0009634494781494141,
- 0.0009560585021972656, 0.050952911376953125,
- 0.001001596450805664, 0.0009922981262207031,
- 0.04859519004821777, 0.0009877681732177734,
- 0.0009810924530029297, 0.04834723472595215,
- 0.0010945796966552734, 0.0009770393371582031,
- 0.048398733139038086, 0.0009751319885253906,
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- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 4',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, 7, 3, 3, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 9, 6, 4, 8,
- 1, 9, 5, 1, 1, 1, 1, 1, 1, 2, 2, 3, 4, 3, 3, 8, 1, 5, 2, 3, 1,
- 3, 1, 1, 1, 1, 2, 2, 1, 1, 2, 1, 1, 4, 6, 5, 3, 9, 1, 12, 4, 4,
- 3, 7, 4, 6, 6, 1, 1, 1, 1, 1, 1, 3, 3, 3, 3, 3, 2, 1, 4],
- 'y': [0.040894508361816406, 0.17456650733947754,
- 0.047301530838012695, 0.0003261566162109375,
- 0.00032210350036621094, 0.0003070831298828125,
- 0.04634594917297363, 0.00029587745666503906,
- 0.04378390312194824, 0.0003039836883544922,
- 0.0002963542938232422, 0.0002579689025878906,
- 0.000255584716796875, 0.03963279724121094,
- 0.00030922889709472656, 0.0003070831298828125,
- 0.00029206275939941406, 0.0002868175506591797,
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- 0.0004048347473144531, 0.000385284423828125,
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- 0.0003998279571533203, 0.0003871917724609375,
- 0.0003490447998046875, 0.03879904747009277,
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- 0.0003769397735595703, 0.034783124923706055,
- 0.00041174888610839844, 0.03948378562927246,
- 0.04220890998840332, 0.03983759880065918, 0.03954482078552246,
- 0.00039076805114746094, 0.0003876686096191406,
- 0.0003757476806640625, 0.00035834312438964844,
- 0.03757929801940918, 0.04147195816040039,
- 0.0004000663757324219, 0.00039768218994140625,
- 0.0003752708435058594, 0.00044465065002441406,
- 0.04171347618103027, 0.00040340423583984375,
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- 0.0004410743713378906]},
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- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 5',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, 7, 3, 3, 2, 4, 2, 10, 4, 3, 2, 4, 2, 7, 7, 7, 3, 3,
- 3, 1, 5, 1, 9, 1, 6, 3, 4, 3, 3, 4, 9, 7, 7, 7, 5, 5, 4, 3, 2,
- 1, 4, 7, 7, 1, 1, 1, 1, 1, 1, 5, 1, 3, 3, 1, 1, 1, 1, 1, 1, 1,
- 2, 5, 1, 4, 4, 4, 5, 3, 3, 4, 8, 3, 11, 6, 4, 1, 1, 1, 1, 1, 1,
- 6, 3, 2, 1, 4],
- 'y': [0.02389812469482422, 0.036725521087646484,
- 0.03748202323913574, 0.0003993511199951172,
- 0.00040149688720703125, 0.00037860870361328125,
- 0.03656482696533203, 0.00037789344787597656,
- 0.00035452842712402344, 0.0003368854522705078,
- 0.0003323554992675781, 0.03852534294128418,
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- 0.00035190582275390625, 0.03538036346435547,
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- 0.00038504600524902344, 0.03581666946411133,
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- 0.03667020797729492, 0.0003821849822998047,
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- 0.03857111930847168, 0.00039124488830566406,
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- 0.0003342628479003906, 0.000331878662109375,
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- 0.039518117904663086, 0.0003998279571533203,
- 0.00047516822814941406, 0.03865957260131836,
- 0.0003979206085205078, 0.00039958953857421875,
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- 0.038704872131347656, 0.0004055500030517578,
- 0.0004029273986816406, 0.00038886070251464844,
- 0.059705257415771484, 0.00041031837463378906,
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- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
- [0.2222222222222222, '#3e4989'], [0.3333333333333333,
- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 4',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, 7, 3, 3, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 3, 6, 4, 8,
- 1, 9, 5, 1, 1, 1, 1, 1, 1, 2, 2, 3, 10, 4, 8, 6, 1, 1, 1, 1, 1,
- 1, 3, 9, 1, 5, 1, 3, 3, 3, 1, 1, 1, 1, 2, 4, 9, 1, 6, 4, 6, 4,
- 2, 6, 3, 7, 4, 6, 3, 2, 1, 4],
- 'y': [0.0005474090576171875, 0.027386903762817383,
- 0.00035643577575683594, 0.0003509521484375,
- 0.0003695487976074219, 0.00035881996154785156,
- 0.02797675132751465, 0.0003612041473388672,
- 0.029891014099121094, 0.00029969215393066406,
- 0.0002951622009277344, 0.0002720355987548828,
- 0.00026226043701171875, 0.03091716766357422,
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- 0.0002532005310058594, 0.0002422332763671875,
- 0.15184831619262695, 0.028398752212524414,
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- 0.027158737182617188, 0.027317523956298828,
- 0.02446722984313965, 0.0005373954772949219,
- 0.028754472732543945, 0.027008056640625,
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- 0.025178194046020508, 0.027467727661132812,
- 0.0002765655517578125, 0.02838897705078125,
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 5',
- 'type': 'histogram2d',
- 'x': [1, 2, 2, 7, 3, 3, 2, 1, 3, 2, 10, 9, 2, 7, 7, 7, 3, 3, 3, 1,
- 5, 1, 6, 5, 3, 10, 2, 3, 5, 4, 4, 8, 3, 4, 9, 7, 7, 7, 5, 5, 5,
- 2, 3, 1, 4, 7, 3, 1, 1, 1, 1, 1, 1, 5, 1, 6, 1, 1, 1, 1, 1, 1,
- 1, 4, 3, 1, 4, 4, 4, 5, 3, 3, 4, 1, 3, 4, 4, 10, 3, 9, 7, 6, 4,
- 1, 1, 1, 1, 1, 1, 6, 3, 2, 1, 4],
- 'y': [0.0005931854248046875, 0.02092146873474121,
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- 0.019067764282226562, 0.020663022994995117,
- 0.0005545616149902344, 0.0005629062652587891,
- 0.0005033016204833984, 0.0005269050598144531,
- 0.018299102783203125, 0.0005452632904052734,
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- 0.00035834312438964844, 0.000370025634765625,
- 0.02260756492614746, 0.0003604888916015625,
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- '#31688e'], [0.4444444444444444, '#26828e'],
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 4',
- 'type': 'histogram2d',
- 'x': [1, 1, 1, 2, 7, 2, 2, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 10, 6,
- 4, 8, 1, 9, 3, 1, 1, 1, 1, 1, 3, 2, 2, 3, 10, 8, 4, 8, 6, 1, 1,
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- 4, 9, 3, 6, 1, 4, 6, 1, 4, 6, 4, 3, 4, 2, 6, 3, 7, 4, 6, 1, 6,
- 4, 3, 3, 3, 5, 3, 4, 5, 9, 2],
- 'y': [0.29203152656555176, 0.03283214569091797,
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 5',
- 'type': 'histogram2d',
- 'x': [1, 1, 1, 2, 7, 2, 2, 2, 1, 3, 2, 10, 9, 6, 7, 7, 7, 1, 10, 1,
- 1, 1, 1, 1, 7, 5, 4, 6, 3, 1, 1, 1, 1, 1, 1, 4, 3, 1, 5, 4, 5,
- 3, 3, 4, 3, 2, 7, 5, 1, 3, 3, 3, 1, 5, 7, 9, 3, 3, 5, 4, 1, 4,
- 7, 5, 6, 2, 7, 3, 4, 9, 7, 7, 7, 5, 5, 4, 2, 3, 1, 5, 4, 10, 3,
- 9, 7, 6, 4, 1, 1, 1, 1, 1, 1],
- 'y': [0.3191962242126465, 0.03439736366271973, 0.0346066951751709,
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- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 4',
- 'type': 'histogram2d',
- 'x': [1, 1, 1, 7, 2, 2, 3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 10, 6, 4,
- 8, 5, 1, 1, 1, 1, 1, 1, 2, 2, 3, 10, 3, 1, 1, 1, 1, 1, 1, 3, 9,
- 1, 4, 2, 6, 3, 7, 4, 6, 4, 9, 1, 5, 2, 3, 1, 9, 3, 3, 1, 1, 1,
- 1, 2, 3, 6, 1, 4, 6, 1, 4, 6, 1, 3, 3, 3, 5, 3, 2, 1, 1],
- 'y': [0.05981945991516113, 0.03278851509094238, 0.03321218490600586,
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- {'colorscale': [[0.0, '#440154'], [0.1111111111111111, '#482878'],
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- '#31688e'], [0.4444444444444444, '#26828e'],
- [0.5555555555555556, '#1f9e89'], [0.6666666666666666,
- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 5',
- 'type': 'histogram2d',
- 'x': [1, 1, 1, 7, 2, 2, 2, 1, 3, 2, 10, 9, 2, 1, 1, 1, 1, 1, 1, 5,
- 1, 1, 1, 1, 1, 1, 1, 4, 2, 7, 7, 7, 3, 3, 3, 1, 5, 7, 9, 3, 3,
- 5, 4, 4, 7, 3, 4, 9, 7, 7, 7, 5, 5, 4, 2, 3, 1, 4, 7, 1, 5, 4,
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 4',
- 'type': 'histogram2d',
- 'x': [3, 4, 7, 4, 7, 2, 7, 8, 8, 4, 5, 9, 6, 4, 8, 1, 9, 5, 1, 1, 1,
- 1, 1, 1, 2, 2, 3, 4, 3, 3, 8, 1, 4, 3, 4, 6, 4, 5, 7, 3, 3, 4,
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- 'y': [0.10777139663696289, 0.011676311492919922,
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- '#35b779'], [0.7777777777777778, '#6ece58'],
- [0.8888888888888888, '#b5de2b'], [1.0, '#fde725']],
- 'name': 'Sample 5',
- 'type': 'histogram2d',
- 'x': [3, 5, 1, 2, 2, 4, 2, 10, 3, 2, 4, 4, 7, 7, 7, 3, 3, 3, 1, 5,
- 6, 3, 3, 6, 3, 5, 3, 4, 2, 3, 2, 7, 4, 4, 8, 1, 1, 7, 6, 10, 4,
- 3, 2, 5, 3, 4, 7, 7, 7, 3, 3, 3, 1, 5, 4, 4, 3, 6, 4, 3, 3, 4,
- 9, 7, 7, 7, 5, 5, 4, 3, 2, 1, 4, 7, 7, 1, 1, 1, 1, 1, 1, 2, 1,
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- 'y': [0.10076236724853516, 0.011076688766479492,
- 0.028636455535888672, 0.0004634857177734375,
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- 0.012186050415039062, 0.010892629623413086,
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- 0.011319637298583984, 0.01106572151184082,
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- 0.012519359588623047, 0.01229715347290039,
- 0.012129545211791992, 0.012368440628051758,
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- 0.012434005737304688, 0.012273073196411133,
- 0.012157440185546875, 0.012184381484985352,
- 0.012016534805297852, 0.011753320693969727,
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- 0.012155294418334961, 0.012045860290527344,
- 0.012387990951538086, 0.012060403823852539,
- 0.012073278427124023, 0.012020111083984375, 0.0182192325592041,
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- 'layout': {'coloraxis': {'colorbar': {'title': {'text': 'frequency'}}},
- 'template': '...',
- 'xaxis': {'title': {'text': 'chunk_sizes'}},
- 'yaxis': {'title': {'text': 'chunk_generation_times'}}}
-})",2D histogram of chunk_sizes and chunk_generation_times for english|json
diff --git a/data/2024-01-22 12:23:47.756798_general_plot.csv b/data/2024-01-22 12:23:47.756798_general_plot.csv
deleted file mode 100644
index 1fb8d8c4321560de6530d52cdea5819baad91e5f..0000000000000000000000000000000000000000
--- a/data/2024-01-22 12:23:47.756798_general_plot.csv
+++ /dev/null
@@ -1,327 +0,0 @@
-path,plot_object,description,plot_json
-./html/plots/response_times.html,"Figure({
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diff --git a/data/2024-01-25 06:47:26.520416_general_plot.csv b/data/2024-01-25 12:22:00.759762_general_plot.csv
similarity index 50%
rename from data/2024-01-25 06:47:26.520416_general_plot.csv
rename to data/2024-01-25 12:22:00.759762_general_plot.csv
index 52e3419c22f15355e1ded4decc273f4c31b9047b..3a2cb0cc0d54f882585e0cfae42c54b62c864ac3 100644
--- a/data/2024-01-25 06:47:26.520416_general_plot.csv
+++ b/data/2024-01-25 12:22:00.759762_general_plot.csv
@@ -12,7 +12,7 @@ path,plot_object,description,comment,plot_json
'type': 'bar',
'x': array(['Mistral-7B-Instruct-v0.2'], dtype=object),
'xaxis': 'x',
- 'y': array([2.41931988]),
+ 'y': array([3.17454003]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
@@ -26,7 +26,7 @@ path,plot_object,description,comment,plot_json
'type': 'bar',
'x': array(['Mixtral-8x7B-Instruct-v0.1'], dtype=object),
'xaxis': 'x',
- 'y': array([8.43355885]),
+ 'y': array([7.14219763]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
@@ -40,143 +40,136 @@ path,plot_object,description,comment,plot_json
'type': 'bar',
'x': array(['TinyLlama/TinyLlama-1.1B-Chat-v1.0'], dtype=object),
'xaxis': 'x',
- 'y': array([1.44886649]),
+ 'y': array([1.29026454]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
- 'legendgroup': 'gemini-pro',
+ 'legendgroup': 'chat-bison',
'marker': {'color': '#ab63fa', 'pattern': {'shape': ''}},
- 'name': 'gemini-pro',
- 'offsetgroup': 'gemini-pro',
+ 'name': 'chat-bison',
+ 'offsetgroup': 'chat-bison',
'orientation': 'v',
'showlegend': True,
'textposition': 'auto',
'type': 'bar',
- 'x': array(['gemini-pro'], dtype=object),
+ 'x': array(['chat-bison'], dtype=object),
'xaxis': 'x',
- 'y': array([nan]),
+ 'y': array([3.89024363]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
- 'legendgroup': 'gpt-3.5-turbo',
+ 'legendgroup': 'chat-bison-32k',
'marker': {'color': '#FFA15A', 'pattern': {'shape': ''}},
- 'name': 'gpt-3.5-turbo',
- 'offsetgroup': 'gpt-3.5-turbo',
+ 'name': 'chat-bison-32k',
+ 'offsetgroup': 'chat-bison-32k',
'orientation': 'v',
'showlegend': True,
'textposition': 'auto',
'type': 'bar',
- 'x': array(['gpt-3.5-turbo'], dtype=object),
+ 'x': array(['chat-bison-32k'], dtype=object),
'xaxis': 'x',
- 'y': array([5.12583753]),
+ 'y': array([4.12817777]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
- 'legendgroup': 'llama-2-70b-chat',
+ 'legendgroup': 'gemini-pro',
'marker': {'color': '#19d3f3', 'pattern': {'shape': ''}},
- 'name': 'llama-2-70b-chat',
- 'offsetgroup': 'llama-2-70b-chat',
+ 'name': 'gemini-pro',
+ 'offsetgroup': 'gemini-pro',
'orientation': 'v',
'showlegend': True,
'textposition': 'auto',
'type': 'bar',
- 'x': array(['llama-2-70b-chat'], dtype=object),
+ 'x': array(['gemini-pro'], dtype=object),
'xaxis': 'x',
- 'y': array([5.16784139]),
+ 'y': array([4.72138064]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
- 'legendgroup': 'zephyr-7b-beta',
+ 'legendgroup': 'gpt-3.5-turbo',
'marker': {'color': '#FF6692', 'pattern': {'shape': ''}},
- 'name': 'zephyr-7b-beta',
- 'offsetgroup': 'zephyr-7b-beta',
+ 'name': 'gpt-3.5-turbo',
+ 'offsetgroup': 'gpt-3.5-turbo',
'orientation': 'v',
'showlegend': True,
'textposition': 'auto',
'type': 'bar',
- 'x': array(['zephyr-7b-beta'], dtype=object),
+ 'x': array(['gpt-3.5-turbo'], dtype=object),
'xaxis': 'x',
- 'y': array([2.57517529]),
- 'yaxis': 'y'}],
- 'layout': {'barmode': 'relative',
- 'legend': {'title': {'text': 'Model'}, 'tracegroupgap': 0},
- 'template': '...',
- 'title': {'text': 'Model endpoints response times'},
- 'xaxis': {'anchor': 'y',
- 'categoryarray': [Mistral-7B-Instruct-v0.2,
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- llama-2-70b-chat, zephyr-7b-beta],
- 'categoryorder': 'array',
- 'domain': [0.0, 1.0],
- 'title': {'text': 'Model'}},
- 'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'Execution time (s)'}}}
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+ 'y': array([0.144438, 0.144438]),
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{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
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'type': 'bar',
'x': array(['gpt-4-turbo'], dtype=object),
'xaxis': 'x',
- 'y': array([0.]),
+ 'y': array([0.44014]),
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{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
Execution cost ($)=%{y}',
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'type': 'bar',
'x': array(['gpt-4'], dtype=object),
'xaxis': 'x',
- 'y': array([0.]),
+ 'y': array([1.1724]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
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'type': 'bar',
'x': array(['llama-2-70b-chat'], dtype=object),
'xaxis': 'x',
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{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
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'type': 'bar',
'x': array(['Mixtral-8x7B-Instruct-v0.1'], dtype=object),
'xaxis': 'x',
- 'y': array([0.0010602]),
+ 'y': array([0.0781551]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
Execution cost ($)=%{y}',
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'type': 'bar',
'x': array(['gemini-pro'], dtype=object),
'xaxis': 'x',
- 'y': array([0.000205]),
+ 'y': array([0.022971]),
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{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
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'x': array(['chat-bison'], dtype=object),
'xaxis': 'x',
- 'y': array([0.]),
+ 'y': array([0.008985]),
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{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
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'x': array(['chat-bison-32k'], dtype=object),
'xaxis': 'x',
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+ 'y': array([0.0089655]),
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'legend': {'title': {'text': 'Model'}, 'tracegroupgap': 0},
'template': '...',
- 'title': {'text': 'Costs of execution of 12 test queries per model'},
+ 'title': {'text': 'Costs of execution of 80 test queries per model'},
'xaxis': {'anchor': 'y', 'domain': [0.0, 1.0], 'title': {'text': 'Model'}},
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diff --git a/data/2024-01-25 13:30:17.207984_summary.csv b/data/2024-01-25 13:30:17.207984_summary.csv
new file mode 100644
index 0000000000000000000000000000000000000000..966af163377ac48d3ba7593c0014923c6622c2e8
--- /dev/null
+++ b/data/2024-01-25 13:30:17.207984_summary.csv
@@ -0,0 +1,59 @@
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+llama-2-70b-chat,japanese,markdown,14.294062587949965,1299.1818181818182,172.5,2.8476636445152934,1.0,16.0,0.02320206142747451,0.0002117156982421875,76.44498753547668
+zephyr-7b-beta,english,call,,,,,,,,,
+zephyr-7b-beta,english,json,2.845248854160309,238.1,39.2,4.274685816876122,1.0,14.0,0.03622233246986485,0.0003070831298828125,0.4896988868713379
+zephyr-7b-beta,english,markdown,7.618257820606232,238.65,38.75,4.358904109589041,1.0,15.0,0.1235110485390441,0.00040459632873535156,75.15552616119385
+zephyr-7b-beta,japanese,call,,,,,,,,,
+zephyr-7b-beta,japanese,json,1.921021181344986,29.75,3.3,1.1829025844930416,1.0,7.0,0.042037644869764565,0.018090486526489258,0.4599947929382324
+zephyr-7b-beta,japanese,markdown,1.8884475827217102,26.6,1.75,1.0350194552529184,1.0,4.0,0.04097196471366437,0.02583909034729004,0.4606599807739258
diff --git a/data/2024-01-25 13:30:20.959750_time_of_day_comparison.csv b/data/2024-01-25 13:30:20.959750_time_of_day_comparison.csv
new file mode 100644
index 0000000000000000000000000000000000000000..be826344c15a9e1631f2ea45db4577229d940f08
--- /dev/null
+++ b/data/2024-01-25 13:30:20.959750_time_of_day_comparison.csv
@@ -0,0 +1,20 @@
+model,time_of_day,execution_time,characters_count,words_count
+Mistral-7B-Instruct-v0.2,afternoon,,,
+Mistral-7B-Instruct-v0.2,evening,,,
+Mistral-7B-Instruct-v0.2,morning,3.174540030956268,113.0,16.27
+Mixtral-8x7B-Instruct-v0.1,morning,7.142197625471814,494.9583333333333,57.74166666666667
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,morning,1.2902645373344421,106.18,16.74
+chat-bison,morning,3.890243631601334,398.075,49.0
+chat-bison-32k,morning,4.128177767992019,389.925,48.025
+gemini-pro,morning,4.72138064004937,425.09166666666664,49.891666666666666
+gpt-3.5-turbo,afternoon,4.666725277900696,302.1666666666667,32.0
+gpt-3.5-turbo,evening,4.351089119911194,305.25,28.5
+gpt-3.5-turbo,morning,5.336839800789242,479.2785714285714,53.92142857142857
+gpt-4,morning,15.5218456586202,389.1875,44.125
+gpt-4-turbo,morning,14.008529031276703,433.075,49.975
+llama-2-70b-chat,afternoon,2.1692867279052734,292.0,43.5
+llama-2-70b-chat,evening,5.552149415016174,967.5,141.25
+llama-2-70b-chat,morning,6.175082007679371,662.7416666666667,94.30833333333334
+zephyr-7b-beta,afternoon,,,
+zephyr-7b-beta,evening,,,
+zephyr-7b-beta,morning,3.2387993240356447,112.57,17.26
diff --git a/data/2024-01-25 13:34:46.224347_summary.csv b/data/2024-01-25 13:34:46.224347_summary.csv
new file mode 100644
index 0000000000000000000000000000000000000000..966af163377ac48d3ba7593c0014923c6622c2e8
--- /dev/null
+++ b/data/2024-01-25 13:34:46.224347_summary.csv
@@ -0,0 +1,59 @@
+model,language,template_name,execution_time,characters_count,words_count,chunk_sizes_mean,chunk_sizes_min,chunk_sizes_max,chunk_generation_times_mean,chunk_generation_times_min,chunk_generation_times_max
+Mistral-7B-Instruct-v0.2,english,call,,,,,,,,,
+Mistral-7B-Instruct-v0.2,english,json,7.318650853633881,222.2,35.95,4.157156220767072,1.0,14.0,0.10865272596910582,0.00024437904357910156,60.7178213596344
+Mistral-7B-Instruct-v0.2,english,markdown,2.8044421672821045,238.15,38.35,4.148954703832753,1.0,14.0,0.03463017442085187,0.020945072174072266,0.25538039207458496
+Mistral-7B-Instruct-v0.2,japanese,call,,,,,,,,,
+Mistral-7B-Instruct-v0.2,japanese,json,1.929928070306778,37.9,2.95,1.3882783882783882,1.0,11.0,0.039187116718990896,0.020466089248657227,0.23994874954223633
+Mistral-7B-Instruct-v0.2,japanese,markdown,1.8897509932518006,28.85,1.15,1.088679245283019,1.0,4.0,0.0396594097029488,0.0004932880401611328,0.2205650806427002
+Mixtral-8x7B-Instruct-v0.1,english,call,,,,,,,,,
+Mixtral-8x7B-Instruct-v0.1,english,json,3.181837737560272,394.95,61.5,4.355665839536807,1.0,15.0,0.015196637342151676,0.0002071857452392578,1.011472463607788
+Mixtral-8x7B-Instruct-v0.1,english,markdown,3.399144798517227,654.4,105.05,4.374331550802139,1.0,14.0,0.013296874289844125,0.00021576881408691406,0.5904912948608398
+Mixtral-8x7B-Instruct-v0.1,japanese,call,,,,,,,,,
+Mixtral-8x7B-Instruct-v0.1,japanese,json,8.82588157138309,532.425,56.35,2.0712896323672436,1.0,15.0,0.027260187998098102,0.0002186298370361328,76.45081758499146
+Mixtral-8x7B-Instruct-v0.1,japanese,markdown,12.566328430175782,460.6,5.7,1.0741604477611941,1.0,9.0,0.01511352992991903,0.00021529197692871094,0.8098442554473877
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,english,call,,,,,,,,,
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,english,json,1.3998499751091003,203.15,34.6,4.120689655172414,1.0,13.0,0.01180358711652775,0.0003421306610107422,0.13397955894470215
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,english,markdown,1.4005955815315247,179.5,30.65,3.847802786709539,1.0,14.0,0.01265179331535184,0.0003273487091064453,0.13492584228515625
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,japanese,call,,,,,,,,,
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,japanese,json,1.2260903775691987,48.35,5.8,1.95748987854251,1.0,13.0,0.01474765992840292,0.00041413307189941406,0.18952107429504395
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,japanese,markdown,1.1986963748931885,51.55,6.85,2.0415841584158416,1.0,10.0,0.014000740617808729,0.0005300045013427734,0.16827392578125
+chat-bison,english,call,,,,,,,,,
+chat-bison,english,json,3.446989095211029,550.05,86.0,89.4390243902439,1.0,138.0,0.4258628240445765,0.0006544589996337891,2.2015340328216553
+chat-bison,japanese,call,,,,,,,,,
+chat-bison,japanese,json,4.333498167991638,246.1,12.0,33.48299319727891,3.0,124.0,0.47770044917152044,0.0005426406860351562,3.5425846576690674
+chat-bison-32k,english,call,,,,,,,,,
+chat-bison-32k,english,json,3.74513863325119,538.4,84.25,88.26229508196721,1.0,134.0,0.47832588094179745,0.0006556510925292969,3.0114917755126953
+chat-bison-32k,japanese,call,,,,,,,,,
+chat-bison-32k,japanese,json,4.5112169027328495,241.45,11.8,35.77037037037037,6.0,124.0,0.5467217816246881,0.0005869865417480469,4.387756824493408
+gemini-pro,english,call,,,,,,,,,
+gemini-pro,english,json,3.6837018529574075,557.475,87.225,175.58267716535434,4.0,988.0,1.0232121174729716,0.0006723403930664062,8.669384241104126
+gemini-pro,english,markdown,4.207570552825928,663.8,109.05,139.74736842105264,19.0,472.0,0.7348335742950439,0.0007510185241699219,2.7830429077148438
+gemini-pro,japanese,call,,,,,,,,,
+gemini-pro,japanese,json,4.794884290013995,189.55,4.05,64.2542372881356,4.0,215.0,1.1180692850533178,0.0006062984466552734,5.698127031326294
+gemini-pro,japanese,markdown,7.311563323525822,392.7,7.75,62.832,15.0,203.0,0.9826514282226563,0.0006639957427978516,13.754565954208374
+gpt-3.5-turbo,english,call,3.409479808062315,671.15625,108.59375,,,,,,
+gpt-3.5-turbo,english,json,2.650409721559094,564.6451612903226,90.98387096774194,5.037122302158274,1.0,16.0,0.017705622920029456,0.0005590915679931641,0.4925534725189209
+gpt-3.5-turbo,english,markdown,3.1277945737044015,649.3333333333334,103.75,5.186023294509152,1.0,16.0,0.019346605402459322,0.0006084442138671875,1.127073049545288
+gpt-3.5-turbo,japanese,call,8.916680586142618,375.1875,4.9375,,,,,,
+gpt-3.5-turbo,japanese,json,6.141976299932447,244.75806451612902,3.306451612903226,1.1217474866942638,1.0,7.0,0.0232258041112258,0.0005545616149902344,13.75982117652893
+gpt-3.5-turbo,japanese,markdown,8.25130424045381,315.5,1.3636363636363635,1.1153784348385023,1.0,10.0,0.025426305415027686,0.0005831718444824219,13.71114993095398
+gpt-4,english,call,10.59899697303772,538.45,83.7,,,,,,
+gpt-4,english,json,9.713180017471313,558.35,87.5,4.971950133570792,1.0,16.0,0.07619813660479824,0.0005440711975097656,1.9534873962402344
+gpt-4,japanese,call,22.77469485684445,242.1,1.2,,,,,,
+gpt-4,japanese,json,19.565327330639487,217.85,4.1,1.1505149194613151,1.0,7.0,0.09166746716213503,0.0005655288696289062,2.1393778324127197
+gpt-4-turbo,english,call,9.345100498199463,550.9,84.9,,,,,,
+gpt-4-turbo,english,json,8.325499892234802,686.55,105.4,5.042600073448402,1.0,17.0,0.05410054322774035,0.0007143020629882812,0.755082368850708
+gpt-4-turbo,japanese,call,18.703535676002502,222.35,3.6,,,,,,
+gpt-4-turbo,japanese,json,19.659980058670044,272.5,6.0,1.181956191715463,1.0,8.0,0.07962745783567377,0.0006952285766601562,13.252992153167725
+llama-2-70b-chat,english,call,,,,,,,,,
+llama-2-70b-chat,english,json,3.55666184425354,427.6363636363636,65.81818181818181,4.172062084257206,1.0,14.0,0.01772472985303587,0.00021791458129882812,0.5100884437561035
+llama-2-70b-chat,english,markdown,6.183407843112946,1169.7727272727273,184.1818181818182,4.07263807564488,1.0,16.0,0.01361775794423896,0.0002124309539794922,0.5661592483520508
+llama-2-70b-chat,japanese,call,,,,,,,,,
+llama-2-70b-chat,japanese,json,4.945841180650811,350.4761904761905,42.642857142857146,2.46483590087073,1.0,15.0,0.01905980879878806,0.00021982192993164062,0.35228896141052246
+llama-2-70b-chat,japanese,markdown,14.294062587949965,1299.1818181818182,172.5,2.8476636445152934,1.0,16.0,0.02320206142747451,0.0002117156982421875,76.44498753547668
+zephyr-7b-beta,english,call,,,,,,,,,
+zephyr-7b-beta,english,json,2.845248854160309,238.1,39.2,4.274685816876122,1.0,14.0,0.03622233246986485,0.0003070831298828125,0.4896988868713379
+zephyr-7b-beta,english,markdown,7.618257820606232,238.65,38.75,4.358904109589041,1.0,15.0,0.1235110485390441,0.00040459632873535156,75.15552616119385
+zephyr-7b-beta,japanese,call,,,,,,,,,
+zephyr-7b-beta,japanese,json,1.921021181344986,29.75,3.3,1.1829025844930416,1.0,7.0,0.042037644869764565,0.018090486526489258,0.4599947929382324
+zephyr-7b-beta,japanese,markdown,1.8884475827217102,26.6,1.75,1.0350194552529184,1.0,4.0,0.04097196471366437,0.02583909034729004,0.4606599807739258
diff --git a/data/2024-01-26 11:01:41.169428_general_plot.csv b/data/2024-01-26 11:01:41.169428_general_plot.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e10cfe99565cc77f44f07b41d4cf941f8e1981d6
--- /dev/null
+++ b/data/2024-01-26 11:01:41.169428_general_plot.csv
@@ -0,0 +1,398 @@
+path,plot_object,description,comment,plot_json
+./html/plots/response_times.html,"Figure({
+ 'data': [{'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'Mistral-7B-Instruct-v0.2',
+ 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
+ 'name': 'Mistral-7B-Instruct-v0.2',
+ 'offsetgroup': 'Mistral-7B-Instruct-v0.2',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['Mistral-7B-Instruct-v0.2'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([3.17454003]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'Mixtral-8x7B-Instruct-v0.1',
+ 'marker': {'color': '#EF553B', 'pattern': {'shape': ''}},
+ 'name': 'Mixtral-8x7B-Instruct-v0.1',
+ 'offsetgroup': 'Mixtral-8x7B-Instruct-v0.1',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['Mixtral-8x7B-Instruct-v0.1'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([7.14219763]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
+ 'marker': {'color': '#00cc96', 'pattern': {'shape': ''}},
+ 'name': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
+ 'offsetgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['TinyLlama/TinyLlama-1.1B-Chat-v1.0'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([1.29026454]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'chat-bison',
+ 'marker': {'color': '#ab63fa', 'pattern': {'shape': ''}},
+ 'name': 'chat-bison',
+ 'offsetgroup': 'chat-bison',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['chat-bison'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([3.89024363]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'chat-bison-32k',
+ 'marker': {'color': '#FFA15A', 'pattern': {'shape': ''}},
+ 'name': 'chat-bison-32k',
+ 'offsetgroup': 'chat-bison-32k',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['chat-bison-32k'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([4.12817777]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'gemini-pro',
+ 'marker': {'color': '#19d3f3', 'pattern': {'shape': ''}},
+ 'name': 'gemini-pro',
+ 'offsetgroup': 'gemini-pro',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['gemini-pro'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([4.72138064]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'gpt-3.5-turbo',
+ 'marker': {'color': '#FF6692', 'pattern': {'shape': ''}},
+ 'name': 'gpt-3.5-turbo',
+ 'offsetgroup': 'gpt-3.5-turbo',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['gpt-3.5-turbo'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([5.28237349]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'gpt-4',
+ 'marker': {'color': '#B6E880', 'pattern': {'shape': ''}},
+ 'name': 'gpt-4',
+ 'offsetgroup': 'gpt-4',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['gpt-4'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([15.52184566]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'gpt-4-turbo',
+ 'marker': {'color': '#FF97FF', 'pattern': {'shape': ''}},
+ 'name': 'gpt-4-turbo',
+ 'offsetgroup': 'gpt-4-turbo',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['gpt-4-turbo'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([14.00852903]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'llama-2-70b-chat',
+ 'marker': {'color': '#FECB52', 'pattern': {'shape': ''}},
+ 'name': 'llama-2-70b-chat',
+ 'offsetgroup': 'llama-2-70b-chat',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['llama-2-70b-chat'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([6.0658799]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'zephyr-7b-beta',
+ 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
+ 'name': 'zephyr-7b-beta',
+ 'offsetgroup': 'zephyr-7b-beta',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['zephyr-7b-beta'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([3.23879932]),
+ 'yaxis': 'y'}],
+ 'layout': {'barmode': 'relative',
+ 'legend': {'title': {'text': 'Model'}, 'tracegroupgap': 0},
+ 'template': '...',
+ 'title': {'text': 'Model endpoints response times'},
+ 'xaxis': {'anchor': 'y',
+ 'categoryarray': [Mistral-7B-Instruct-v0.2,
+ Mixtral-8x7B-Instruct-v0.1,
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,
+ chat-bison, chat-bison-32k, gemini-pro,
+ gpt-3.5-turbo, gpt-4, gpt-4-turbo,
+ llama-2-70b-chat, zephyr-7b-beta],
+ 'categoryorder': 'array',
+ 'domain': [0.0, 1.0],
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new file mode 100644
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new file mode 100644
index 0000000000000000000000000000000000000000..55f5125945b97c330a490e1a6b939344876dbcff
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new file mode 100644
index 0000000000000000000000000000000000000000..6acdd3c858e29ae9ec68a2f7baa53ef3d27bd6a2
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new file mode 100644
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new file mode 100644
index 0000000000000000000000000000000000000000..68bd1a3fb36561c536804bc7f7481865b7d508e1
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+})",Model sizes in billions of parameters,Note that some models have undisclosed sizes.,"{""data"":[{""alignmentgroup"":""True"",""hovertemplate"":""Model=%{x}\u003cbr\u003eModel size (B params)=%{y}\u003cextra\u003e\u003c\u002fextra\u003e"",""legendgroup"":""Mixtral-8x7B-Instruct-v0.1"",""marker"":{""color"":""#636efa"",""pattern"":{""shape"":""""}},""name"":""Mixtral-8x7B-Instruct-v0.1"",""offsetgroup"":""Mixtral-8x7B-Instruct-v0.1"",""orientation"":""v"",""showlegend"":true,""textposition"":""auto"",""x"":[""Mixtral-8x7B-Instruct-v0.1""],""xaxis"":""x"",""y"":[56.0],""yaxis"":""y"",""type"":""bar""},{""alignmentgroup"":""True"",""hovertemplate"":""Model=%{x}\u003cbr\u003eModel size (B 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diff --git a/data/2024-01-26 16:13:38.191636_model_costs.csv b/data/2024-01-26 16:13:38.191636_model_costs.csv
new file mode 100644
index 0000000000000000000000000000000000000000..acbb815c04fa0279a295e934f8580e084981020c
--- /dev/null
+++ b/data/2024-01-26 16:13:38.191636_model_costs.csv
@@ -0,0 +1,13 @@
+model,provider,provider_pricing,cost_per_token
+gpt-3.5-turbo,OpenAI,"$1 / 1M input tokens, $2 / 1M output tokens","$1 / 1M input tokens, $2 / 1M output tokens"
+gpt-4-turbo,OpenAI,"$10 / 1M input tokens, $30 / 1M output tokens","$10 / 1M input tokens, $30 / 1M output tokens"
+gpt-4,OpenAI,"$30 / 1M input tokens, $60 / 1M output tokens","$30 / 1M input tokens, $60 / 1M output tokens"
+gpt-3.5-turbo,OpenAI,"$1 / 1M input tokens, $2 / 1M output tokens","$1 / 1M input tokens, $2 / 1M output tokens"
+llama-2-70b-chat,Together AI,$0.2 / 1M tokens,$0.2 / 1M tokens
+Mixtral-8x7B-Instruct-v0.1,Together AI,$0.9 / 1M tokens,$0.9 / 1M tokens
+zephyr-7b-beta,Hugging Face Inference Endpoint,$1.3 / hour,$5.364983589763427e-11 / 1M tokens
+Mistral-7B-Instruct-v0.2,Hugging Face Inference Endpoint,$1.3 / hour,$5.2585398066299045e-11 / 1M tokens
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,Hugging Face Inference Endpoint,$0.6 / hour,$1.0752204477787017e-11 / 1M tokens
+gemini-pro,Google VertexAI,"$0.25 / 1M input characters, $0.5 / 1M output characters (60 queries per minute are free)","$0.25 / 1M input tokens, $0.5 / 1M output tokens"
+chat-bison (PaLM 2),Google VertexAI,"$0.25 / 1M input tokens, $0.5 / 1M output tokens","$0.25 / 1M input tokens, $0.5 / 1M output tokens"
+chat-bison-32k (PaLM 2 32K),Google VertexAI,"$0.25 / 1M input tokens, $0.5 / 1M output tokens","$0.25 / 1M input tokens, $0.5 / 1M output tokens"
diff --git a/data/2024-01-26 16:16:56.390177_model_costs.csv b/data/2024-01-26 16:16:56.390177_model_costs.csv
new file mode 100644
index 0000000000000000000000000000000000000000..174f890f3a52d1068b0c592d83546b2efce2ac7d
--- /dev/null
+++ b/data/2024-01-26 16:16:56.390177_model_costs.csv
@@ -0,0 +1,13 @@
+model,provider,provider_pricing,cost_per_token
+gpt-3.5-turbo,OpenAI,"$1.00 / 1M input tokens, $2.00 / 1M output tokens","$1.00 / 1M input tokens, $2.00 / 1M output tokens"
+gpt-4-turbo,OpenAI,"$10.00 / 1M input tokens, $30.00 / 1M output tokens","$10.00 / 1M input tokens, $30.00 / 1M output tokens"
+gpt-4,OpenAI,"$30.00 / 1M input tokens, $60.00 / 1M output tokens","$30.00 / 1M input tokens, $60.00 / 1M output tokens"
+gpt-3.5-turbo,OpenAI,"$1.00 / 1M input tokens, $2.00 / 1M output tokens","$1.00 / 1M input tokens, $2.00 / 1M output tokens"
+llama-2-70b-chat,Together AI,$0.20 / 1M tokens,$0.20 / 1M tokens
+Mixtral-8x7B-Instruct-v0.1,Together AI,$0.90 / 1M tokens,$0.90 / 1M tokens
+zephyr-7b-beta,Hugging Face Inference Endpoint,$1.30 / hour,$0.00 / 1M tokens
+Mistral-7B-Instruct-v0.2,Hugging Face Inference Endpoint,$1.30 / hour,$0.00 / 1M tokens
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,Hugging Face Inference Endpoint,$0.60 / hour,$0.00 / 1M tokens
+gemini-pro,Google VertexAI,"$0.25 / 1M input characters, $0.5 / 1M output characters (60 queries per minute are free)","$0.25 / 1M input tokens, $0.50 / 1M output tokens"
+chat-bison (PaLM 2),Google VertexAI,"$0.25 / 1M input tokens, $0.50 / 1M output tokens","$0.25 / 1M input tokens, $0.50 / 1M output tokens"
+chat-bison-32k (PaLM 2 32K),Google VertexAI,"$0.25 / 1M input tokens, $0.50 / 1M output tokens","$0.25 / 1M input tokens, $0.50 / 1M output tokens"
diff --git a/data/2024-01-26 16:19:55.237955_model_costs.csv b/data/2024-01-26 16:19:55.237955_model_costs.csv
new file mode 100644
index 0000000000000000000000000000000000000000..ad2263be490d44415c5a4403c5a07854341c4aa3
--- /dev/null
+++ b/data/2024-01-26 16:19:55.237955_model_costs.csv
@@ -0,0 +1,13 @@
+model,provider,provider_pricing,cost_per_token
+gpt-3.5-turbo,OpenAI,"$1 / 1M input tokens, $2 / 1M output tokens","$1 / 1M input tokens, $2 / 1M output tokens"
+gpt-4-turbo,OpenAI,"$10 / 1M input tokens, $30 / 1M output tokens","$10 / 1M input tokens, $30 / 1M output tokens"
+gpt-4,OpenAI,"$30 / 1M input tokens, $60 / 1M output tokens","$30 / 1M input tokens, $60 / 1M output tokens"
+gpt-3.5-turbo,OpenAI,"$1 / 1M input tokens, $2 / 1M output tokens","$1 / 1M input tokens, $2 / 1M output tokens"
+llama-2-70b-chat,Together AI,$0.2 / 1M tokens,$0.2 / 1M tokens
+Mixtral-8x7B-Instruct-v0.1,Together AI,$0.9 / 1M tokens,$0.9 / 1M tokens
+zephyr-7b-beta,Hugging Face Inference Endpoint,$1.3 / hour,$5.4e-11 / 1M tokens
+Mistral-7B-Instruct-v0.2,Hugging Face Inference Endpoint,$1.3 / hour,$5.3e-11 / 1M tokens
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,Hugging Face Inference Endpoint,$0.6 / hour,$1.1e-11 / 1M tokens
+gemini-pro,Google VertexAI,"$0.25 / 1M input characters, $0.5 / 1M output characters (60 queries per minute are free)","$0.25 / 1M input tokens, $0.5 / 1M output tokens"
+chat-bison (PaLM 2),Google VertexAI,"$0.25 / 1M input tokens, $0.5 / 1M output tokens","$0.25 / 1M input tokens, $0.5 / 1M output tokens"
+chat-bison-32k (PaLM 2 32K),Google VertexAI,"$0.25 / 1M input tokens, $0.5 / 1M output tokens","$0.25 / 1M input tokens, $0.5 / 1M output tokens"
diff --git a/data/2024-01-26 16:21:10.212177_model_costs.csv b/data/2024-01-26 16:21:10.212177_model_costs.csv
new file mode 100644
index 0000000000000000000000000000000000000000..68ca2c6b1b9bdcf9676ec28ab41a714d9f28a19e
--- /dev/null
+++ b/data/2024-01-26 16:21:10.212177_model_costs.csv
@@ -0,0 +1,13 @@
+model,provider,provider_pricing,cost_per_token
+gpt-3.5-turbo,OpenAI,"$1 / 1M input tokens, $2 / 1M output tokens","$1 / 1M input tokens, $2 / 1M output tokens"
+gpt-4-turbo,OpenAI,"$10 / 1M input tokens, $30 / 1M output tokens","$10 / 1M input tokens, $30 / 1M output tokens"
+gpt-4,OpenAI,"$30 / 1M input tokens, $60 / 1M output tokens","$30 / 1M input tokens, $60 / 1M output tokens"
+gpt-3.5-turbo,OpenAI,"$1 / 1M input tokens, $2 / 1M output tokens","$1 / 1M input tokens, $2 / 1M output tokens"
+llama-2-70b-chat,Together AI,$0.2 / 1M tokens,$0.2 / 1M tokens
+Mixtral-8x7B-Instruct-v0.1,Together AI,$0.9 / 1M tokens,$0.9 / 1M tokens
+zephyr-7b-beta,Hugging Face Inference Endpoint,$1.3 / hour,$54 / 1M tokens
+Mistral-7B-Instruct-v0.2,Hugging Face Inference Endpoint,$1.3 / hour,$53 / 1M tokens
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,Hugging Face Inference Endpoint,$0.6 / hour,$11 / 1M tokens
+gemini-pro,Google VertexAI,"$0.25 / 1M input characters, $0.5 / 1M output characters (60 queries per minute are free)","$0.25 / 1M input tokens, $0.5 / 1M output tokens"
+chat-bison (PaLM 2),Google VertexAI,"$0.25 / 1M input tokens, $0.5 / 1M output tokens","$0.25 / 1M input tokens, $0.5 / 1M output tokens"
+chat-bison-32k (PaLM 2 32K),Google VertexAI,"$0.25 / 1M input tokens, $0.5 / 1M output tokens","$0.25 / 1M input tokens, $0.5 / 1M output tokens"
diff --git a/data/2024-01-26 16:21:34.661653_model_costs.csv b/data/2024-01-26 16:21:34.661653_model_costs.csv
new file mode 100644
index 0000000000000000000000000000000000000000..68ca2c6b1b9bdcf9676ec28ab41a714d9f28a19e
--- /dev/null
+++ b/data/2024-01-26 16:21:34.661653_model_costs.csv
@@ -0,0 +1,13 @@
+model,provider,provider_pricing,cost_per_token
+gpt-3.5-turbo,OpenAI,"$1 / 1M input tokens, $2 / 1M output tokens","$1 / 1M input tokens, $2 / 1M output tokens"
+gpt-4-turbo,OpenAI,"$10 / 1M input tokens, $30 / 1M output tokens","$10 / 1M input tokens, $30 / 1M output tokens"
+gpt-4,OpenAI,"$30 / 1M input tokens, $60 / 1M output tokens","$30 / 1M input tokens, $60 / 1M output tokens"
+gpt-3.5-turbo,OpenAI,"$1 / 1M input tokens, $2 / 1M output tokens","$1 / 1M input tokens, $2 / 1M output tokens"
+llama-2-70b-chat,Together AI,$0.2 / 1M tokens,$0.2 / 1M tokens
+Mixtral-8x7B-Instruct-v0.1,Together AI,$0.9 / 1M tokens,$0.9 / 1M tokens
+zephyr-7b-beta,Hugging Face Inference Endpoint,$1.3 / hour,$54 / 1M tokens
+Mistral-7B-Instruct-v0.2,Hugging Face Inference Endpoint,$1.3 / hour,$53 / 1M tokens
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,Hugging Face Inference Endpoint,$0.6 / hour,$11 / 1M tokens
+gemini-pro,Google VertexAI,"$0.25 / 1M input characters, $0.5 / 1M output characters (60 queries per minute are free)","$0.25 / 1M input tokens, $0.5 / 1M output tokens"
+chat-bison (PaLM 2),Google VertexAI,"$0.25 / 1M input tokens, $0.5 / 1M output tokens","$0.25 / 1M input tokens, $0.5 / 1M output tokens"
+chat-bison-32k (PaLM 2 32K),Google VertexAI,"$0.25 / 1M input tokens, $0.5 / 1M output tokens","$0.25 / 1M input tokens, $0.5 / 1M output tokens"
diff --git a/data/2024-01-26 16:25:47.914140_model_costs.csv b/data/2024-01-26 16:25:47.914140_model_costs.csv
new file mode 100644
index 0000000000000000000000000000000000000000..68152bf3e7fbe3e5c6dbf06360e1b90465dff4d7
--- /dev/null
+++ b/data/2024-01-26 16:25:47.914140_model_costs.csv
@@ -0,0 +1,13 @@
+model,provider,provider_pricing,cost_per_token
+gpt-3.5-turbo,OpenAI,"$1 / 1M input tokens, $2 / 1M output tokens","$1 / 1M input tokens, $2 / 1M output tokens"
+gpt-4-turbo,OpenAI,"$10 / 1M input tokens, $30 / 1M output tokens","$10 / 1M input tokens, $30 / 1M output tokens"
+gpt-4,OpenAI,"$30 / 1M input tokens, $60 / 1M output tokens","$30 / 1M input tokens, $60 / 1M output tokens"
+gpt-3.5-turbo,OpenAI,"$1 / 1M input tokens, $2 / 1M output tokens","$1 / 1M input tokens, $2 / 1M output tokens"
+llama-2-70b-chat,Together AI,$0.2 / 1M tokens,$0.2 / 1M tokens
+Mixtral-8x7B-Instruct-v0.1,Together AI,$0.9 / 1M tokens,$0.9 / 1M tokens
+zephyr-7b-beta,Hugging Face Inference Endpoint,$1.3 / hour,$0.14 / 1M tokens
+Mistral-7B-Instruct-v0.2,Hugging Face Inference Endpoint,$1.3 / hour,$0.14 / 1M tokens
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,Hugging Face Inference Endpoint,$0.6 / hour,$0.026 / 1M tokens
+gemini-pro,Google VertexAI,"$0.25 / 1M input characters, $0.5 / 1M output characters (60 queries per minute are free)","$0.25 / 1M input tokens, $0.5 / 1M output tokens"
+chat-bison (PaLM 2),Google VertexAI,"$0.25 / 1M input tokens, $0.5 / 1M output tokens","$0.25 / 1M input tokens, $0.5 / 1M output tokens"
+chat-bison-32k (PaLM 2 32K),Google VertexAI,"$0.25 / 1M input tokens, $0.5 / 1M output tokens","$0.25 / 1M input tokens, $0.5 / 1M output tokens"
diff --git a/data/2024-01-26 16:32:54.481637_model_costs.csv b/data/2024-01-26 16:32:54.481637_model_costs.csv
new file mode 100644
index 0000000000000000000000000000000000000000..7e2c9e476be046d9a62433ff1031e9c88857562e
--- /dev/null
+++ b/data/2024-01-26 16:32:54.481637_model_costs.csv
@@ -0,0 +1,13 @@
+model,provider,cost_per_token,provider_pricing
+gpt-3.5-turbo,OpenAI,"$1 / 1M input tokens, $2 / 1M output tokens","$1 / 1M input tokens, $2 / 1M output tokens"
+gpt-4-turbo,OpenAI,"$10 / 1M input tokens, $30 / 1M output tokens","$10 / 1M input tokens, $30 / 1M output tokens"
+gpt-4,OpenAI,"$30 / 1M input tokens, $60 / 1M output tokens","$30 / 1M input tokens, $60 / 1M output tokens"
+gpt-3.5-turbo,OpenAI,"$1 / 1M input tokens, $2 / 1M output tokens","$1 / 1M input tokens, $2 / 1M output tokens"
+llama-2-70b-chat,Together AI,$0.2 / 1M tokens,$0.2 / 1M tokens
+Mixtral-8x7B-Instruct-v0.1,Together AI,$0.9 / 1M tokens,$0.9 / 1M tokens
+zephyr-7b-beta,Hugging Face Inference Endpoint,$0.14 / 1M tokens,$1.3 / hour
+Mistral-7B-Instruct-v0.2,Hugging Face Inference Endpoint,$0.14 / 1M tokens,$1.3 / hour
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,Hugging Face Inference Endpoint,$0.026 / 1M tokens,$0.6 / hour
+gemini-pro,Google VertexAI,"$0.25 / 1M input tokens, $0.5 / 1M output tokens","$0.25 / 1M input characters, $0.5 / 1M output characters (60 queries per minute are free)"
+chat-bison (PaLM 2),Google VertexAI,"$0.25 / 1M input tokens, $0.5 / 1M output tokens","$0.25 / 1M input tokens, $0.5 / 1M output tokens"
+chat-bison-32k (PaLM 2 32K),Google VertexAI,"$0.25 / 1M input tokens, $0.5 / 1M output tokens","$0.25 / 1M input tokens, $0.5 / 1M output tokens"
diff --git a/data/2024-01-26 16:43:36.843194_general_plot.csv b/data/2024-01-26 16:43:36.843194_general_plot.csv
new file mode 100644
index 0000000000000000000000000000000000000000..da0af585035d80288d2a20a1b50cdd82d6371cf9
--- /dev/null
+++ b/data/2024-01-26 16:43:36.843194_general_plot.csv
@@ -0,0 +1,398 @@
+path,plot_object,description,comment,plot_json
+./html/plots/response_times.html,"Figure({
+ 'data': [{'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'Mistral-7B-Instruct-v0.2',
+ 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
+ 'name': 'Mistral-7B-Instruct-v0.2',
+ 'offsetgroup': 'Mistral-7B-Instruct-v0.2',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['Mistral-7B-Instruct-v0.2'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([3.17454003]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'Mixtral-8x7B-Instruct-v0.1',
+ 'marker': {'color': '#EF553B', 'pattern': {'shape': ''}},
+ 'name': 'Mixtral-8x7B-Instruct-v0.1',
+ 'offsetgroup': 'Mixtral-8x7B-Instruct-v0.1',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['Mixtral-8x7B-Instruct-v0.1'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([7.14219763]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
+ 'marker': {'color': '#00cc96', 'pattern': {'shape': ''}},
+ 'name': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
+ 'offsetgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['TinyLlama/TinyLlama-1.1B-Chat-v1.0'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([1.29026454]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'chat-bison',
+ 'marker': {'color': '#ab63fa', 'pattern': {'shape': ''}},
+ 'name': 'chat-bison',
+ 'offsetgroup': 'chat-bison',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['chat-bison'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([3.89024363]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'chat-bison-32k',
+ 'marker': {'color': '#FFA15A', 'pattern': {'shape': ''}},
+ 'name': 'chat-bison-32k',
+ 'offsetgroup': 'chat-bison-32k',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['chat-bison-32k'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([4.12817777]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'gemini-pro',
+ 'marker': {'color': '#19d3f3', 'pattern': {'shape': ''}},
+ 'name': 'gemini-pro',
+ 'offsetgroup': 'gemini-pro',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['gemini-pro'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([4.72138064]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'gpt-3.5-turbo',
+ 'marker': {'color': '#FF6692', 'pattern': {'shape': ''}},
+ 'name': 'gpt-3.5-turbo',
+ 'offsetgroup': 'gpt-3.5-turbo',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['gpt-3.5-turbo'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([5.28237349]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'gpt-4',
+ 'marker': {'color': '#B6E880', 'pattern': {'shape': ''}},
+ 'name': 'gpt-4',
+ 'offsetgroup': 'gpt-4',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['gpt-4'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([15.52184566]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'gpt-4-turbo',
+ 'marker': {'color': '#FF97FF', 'pattern': {'shape': ''}},
+ 'name': 'gpt-4-turbo',
+ 'offsetgroup': 'gpt-4-turbo',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['gpt-4-turbo'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([14.00852903]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'llama-2-70b-chat',
+ 'marker': {'color': '#FECB52', 'pattern': {'shape': ''}},
+ 'name': 'llama-2-70b-chat',
+ 'offsetgroup': 'llama-2-70b-chat',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['llama-2-70b-chat'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([6.0658799]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'zephyr-7b-beta',
+ 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
+ 'name': 'zephyr-7b-beta',
+ 'offsetgroup': 'zephyr-7b-beta',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['zephyr-7b-beta'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([3.23879932]),
+ 'yaxis': 'y'}],
+ 'layout': {'barmode': 'relative',
+ 'legend': {'title': {'text': 'Model'}, 'tracegroupgap': 0},
+ 'template': '...',
+ 'title': {'text': 'Model endpoints response times'},
+ 'xaxis': {'anchor': 'y',
+ 'categoryarray': [Mistral-7B-Instruct-v0.2,
+ Mixtral-8x7B-Instruct-v0.1,
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,
+ chat-bison, chat-bison-32k, gemini-pro,
+ gpt-3.5-turbo, gpt-4, gpt-4-turbo,
+ llama-2-70b-chat, zephyr-7b-beta],
+ 'categoryorder': 'array',
+ 'domain': [0.0, 1.0],
+ 'title': {'text': 'Model'}},
+ 'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'Execution time (s)'}}}
+})",Model endpoints response times,,"{""data"":[{""alignmentgroup"":""True"",""hovertemplate"":""Model=%{x}\u003cbr\u003eExecution time (s)=%{y}\u003cextra\u003e\u003c\u002fextra\u003e"",""legendgroup"":""Mistral-7B-Instruct-v0.2"",""marker"":{""color"":""#636efa"",""pattern"":{""shape"":""""}},""name"":""Mistral-7B-Instruct-v0.2"",""offsetgroup"":""Mistral-7B-Instruct-v0.2"",""orientation"":""v"",""showlegend"":true,""textposition"":""auto"",""x"":[""Mistral-7B-Instruct-v0.2""],""xaxis"":""x"",""y"":[3.174540030956268],""yaxis"":""y"",""type"":""bar""},{""alignmentgroup"":""True"",""hovertemplate"":""Model=%{x}\u003cbr\u003eExecution time 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new file mode 100644
index 0000000000000000000000000000000000000000..aa2291cd59d20474c170699430c6281368bc8e25
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new file mode 100644
index 0000000000000000000000000000000000000000..d82996b93340db009e5d5ceff0fec9a86864d877
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diff --git a/data/2024-01-30 18:39:54.448407_time_of_day_comparison.csv b/data/2024-01-30 18:39:54.448407_time_of_day_comparison.csv
new file mode 100644
index 0000000000000000000000000000000000000000..38619506bed867b9accf0bd13503718d1f69bf3c
--- /dev/null
+++ b/data/2024-01-30 18:39:54.448407_time_of_day_comparison.csv
@@ -0,0 +1,27 @@
+model,time_of_day,execution_time,characters_count,words_count
+Mistral-7B-Instruct-v0.2,afternoon,3.023258109887441,172.18333333333334,22.95
+Mistral-7B-Instruct-v0.2,evening,,,
+Mistral-7B-Instruct-v0.2,morning,3.174540030956268,113.0,16.27
+Mixtral-8x7B-Instruct-v0.1,afternoon,7.426922065019608,450.4875,51.85
+Mixtral-8x7B-Instruct-v0.1,morning,7.142197625471814,494.9583333333333,57.74166666666667
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,afternoon,1.538642168045044,169.46666666666667,26.083333333333332
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,morning,1.2902645373344421,106.18,16.74
+chat-bison,morning,3.890243631601334,398.075,49.0
+chat-bison (PaLM 2),afternoon,3.866238150000572,381.7875,40.3875
+chat-bison-32k,morning,4.128177767992019,389.925,48.025
+chat-bison-32k (PaLM 2 32K),afternoon,4.844334444403648,371.25,38.7375
+gemini-pro,afternoon,3.6972034962972007,352.2,33.9375
+gemini-pro,morning,4.72138064004937,425.09166666666664,49.891666666666666
+gpt-3.5-turbo,afternoon,4.228875203738137,364.92857142857144,36.42857142857143
+gpt-3.5-turbo,evening,4.351089119911194,305.25,28.5
+gpt-3.5-turbo,morning,5.336839800789242,479.2785714285714,53.92142857142857
+gpt-4,afternoon,20.52127287968868,307.175,31.975
+gpt-4,morning,15.5218456586202,389.1875,44.125
+gpt-4-turbo,afternoon,23.51892908215523,396.40833333333336,41.858333333333334
+gpt-4-turbo,morning,14.008529031276703,433.075,49.975
+llama-2-70b-chat,afternoon,4.851686128755895,671.2317073170732,83.5609756097561
+llama-2-70b-chat,evening,5.552149415016174,967.5,141.25
+llama-2-70b-chat,morning,6.175082007679371,662.7416666666667,94.30833333333334
+zephyr-7b-beta,afternoon,3.0400254487991334,163.45,23.8
+zephyr-7b-beta,evening,,,
+zephyr-7b-beta,morning,3.2387993240356447,112.57,17.26
diff --git a/data/2024-01-30 18:40:08.467683_summary.csv b/data/2024-01-30 18:40:08.467683_summary.csv
new file mode 100644
index 0000000000000000000000000000000000000000..7b996092064dab16bf6a7df8b8aac3b751f219df
--- /dev/null
+++ b/data/2024-01-30 18:40:08.467683_summary.csv
@@ -0,0 +1,75 @@
+model,language,template_name,execution_time,characters_count,words_count,chunk_sizes_mean,chunk_sizes_min,chunk_sizes_max,chunk_generation_times_mean,chunk_generation_times_min,chunk_generation_times_max
+Mistral-7B-Instruct-v0.2,english,call,,,,,,,,,
+Mistral-7B-Instruct-v0.2,english,json,7.318650853633881,222.2,35.95,4.157156220767072,1.0,14.0,0.10865272596910582,0.00024437904357910156,60.7178213596344
+Mistral-7B-Instruct-v0.2,english,markdown,3.4006769716739655,324.0,50.9,4.217377155873739,1.0,16.0,0.03379235289362949,0.020945072174072266,0.25538039207458496
+Mistral-7B-Instruct-v0.2,japanese,call,,,,,,,,,
+Mistral-7B-Instruct-v0.2,japanese,json,2.129413692156474,44.516666666666666,3.1666666666666665,1.338176352705411,1.0,11.0,0.038890062568182934,0.020466089248657227,0.23994874954223633
+Mistral-7B-Instruct-v0.2,japanese,markdown,2.217114305496216,38.9,1.475,1.1035460992907802,1.0,6.0,0.03959447390644263,0.0004932880401611328,0.2205650806427002
+Mixtral-8x7B-Instruct-v0.1,english,call,,,,,,,,,
+Mixtral-8x7B-Instruct-v0.1,english,json,3.2277008444070816,397.18333333333334,61.68333333333333,4.278456014362657,1.0,15.0,0.016790826658800218,0.0002071857452392578,1.011472463607788
+Mixtral-8x7B-Instruct-v0.1,english,markdown,7.234642684459686,565.725,90.475,4.366846777306059,1.0,15.0,0.018897794563767535,0.00021576881408691406,1.7103569507598877
+Mixtral-8x7B-Instruct-v0.1,japanese,call,,,,,,,,,
+Mixtral-8x7B-Instruct-v0.1,japanese,json,8.271932434617428,536.4833333333333,58.78333333333333,2.1412226435175947,1.0,15.0,0.026507280039896726,0.00021338462829589844,76.45081758499146
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+TinyLlama/TinyLlama-1.1B-Chat-v1.0,english,call,,,,,,,,,
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,english,json,1.3998499751091003,203.15,34.6,4.120689655172414,1.0,13.0,0.01180358711652775,0.0003421306610107422,0.13397955894470215
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,english,markdown,1.5995279610157014,248.2,41.625,3.9303246239113223,1.0,14.0,0.012339331286348055,0.0003273487091064453,0.15227961540222168
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,japanese,call,,,,,,,,,
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,japanese,json,1.2796377182006835,59.766666666666666,7.2,1.9966592427616927,1.0,13.0,0.01475177509482029,0.00041413307189941406,0.18952107429504395
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,japanese,markdown,1.3147150695323944,80.225,11.25,2.3595588235294116,1.0,13.0,0.013936110629754908,0.0005300045013427734,0.176621675491333
+chat-bison,english,call,,,,,,,,,
+chat-bison,english,json,3.446989095211029,550.05,86.0,89.4390243902439,1.0,138.0,0.4258628240445765,0.0006544589996337891,2.2015340328216553
+chat-bison,japanese,call,,,,,,,,,
+chat-bison,japanese,json,4.333498167991638,246.1,12.0,33.48299319727891,3.0,124.0,0.47770044917152044,0.0005426406860351562,3.5425846576690674
+chat-bison (PaLM 2),english,call,,,,,,,,,
+chat-bison (PaLM 2),english,json,2.9914507985115053,380.9,60.65,81.91397849462365,1.0,135.0,0.46110378285889986,0.0008225440979003906,2.025282144546509
+chat-bison (PaLM 2),english,markdown,3.1855568289756775,480.45,76.6,86.56756756756756,12.0,129.0,0.4221067342672262,0.00087738037109375,2.063969373703003
+chat-bison (PaLM 2),japanese,call,,,,,,,,,
+chat-bison (PaLM 2),japanese,json,3.69934686422348,230.85,10.5,34.714285714285715,6.0,124.0,0.4294193310845167,0.0006532669067382812,2.7724690437316895
+chat-bison (PaLM 2),japanese,markdown,5.588598108291626,434.95,13.8,32.09963099630996,10.0,124.0,0.3500617219073306,0.0005550384521484375,7.114030122756958
+chat-bison-32k,english,call,,,,,,,,,
+chat-bison-32k,english,json,3.74513863325119,538.4,84.25,88.26229508196721,1.0,134.0,0.47832588094179745,0.0006556510925292969,3.0114917755126953
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diff --git a/data/2024-02-01 08:08:06.822774_time_of_day_comparison.csv b/data/2024-02-01 08:08:06.822774_time_of_day_comparison.csv
new file mode 100644
index 0000000000000000000000000000000000000000..1a0f16bfeeb4d8736fe5d764ce173c81a758f849
--- /dev/null
+++ b/data/2024-02-01 08:08:06.822774_time_of_day_comparison.csv
@@ -0,0 +1,34 @@
+model,time_of_day,execution_time,characters_count,words_count
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diff --git a/data/2024-02-02 10:02:32.863904_time_of_day_comparison.csv b/data/2024-02-02 10:02:32.863904_time_of_day_comparison.csv
new file mode 100644
index 0000000000000000000000000000000000000000..2ad9f5484aa7a9331314e6bd3e88bc0ed567c04d
--- /dev/null
+++ b/data/2024-02-02 10:02:32.863904_time_of_day_comparison.csv
@@ -0,0 +1,58 @@
+model,time_of_day,execution_time,characters_count,words_count
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+zephyr-7b-beta,evening,3.4374013015202114,242.40714285714284,37.892857142857146
+zephyr-7b-beta,midnight,,,
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diff --git a/data/2024-02-02 10:13:06.642849_general_plot.csv b/data/2024-02-02 10:13:06.642849_general_plot.csv
new file mode 100644
index 0000000000000000000000000000000000000000..240fee125c74aad7f822c6fe2f82770393c95199
--- /dev/null
+++ b/data/2024-02-02 10:13:06.642849_general_plot.csv
@@ -0,0 +1,428 @@
+path,plot_object,description,comment,plot_json
+./html/plots/response_times.html,"Figure({
+ 'data': [{'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'Mistral-7B-Instruct-v0.2',
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diff --git a/data/2024-02-02 11:10:33.807657_general_plot.csv b/data/2024-02-02 11:10:33.807657_general_plot.csv
new file mode 100644
index 0000000000000000000000000000000000000000..9e8125177ccaf579890ffc89e668e318ebc145e8
--- /dev/null
+++ b/data/2024-02-02 11:10:33.807657_general_plot.csv
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diff --git a/data/2024-02-03 21:01:06.672013_time_of_day_comparison.csv b/data/2024-02-03 21:01:06.672013_time_of_day_comparison.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e3b8fbb53a3519eb73da2fe8f2d26cb5d2fff0f2
--- /dev/null
+++ b/data/2024-02-03 21:01:06.672013_time_of_day_comparison.csv
@@ -0,0 +1,58 @@
+model,time_of_day,execution_time,characters_count,words_count
+Mistral-7B-Instruct-v0.2,afternoon,3.2297915895779927,224.50833333333333,32.375
+Mistral-7B-Instruct-v0.2,evening,3.335640662057059,237.52857142857144,35.33571428571429
+Mistral-7B-Instruct-v0.2,midnight,,,
+Mistral-7B-Instruct-v0.2,morning,3.267787692944209,154.65,23.283333333333335
+Mistral-7B-Instruct-v0.2,noon,3.1783012986183166,210.325,30.975
+Mixtral-8x7B-Instruct-v0.1,afternoon,5.647441667449138,361.92105263157896,51.305263157894736
+Mixtral-8x7B-Instruct-v0.1,evening,4.120577350668951,346.51,48.5125
+Mixtral-8x7B-Instruct-v0.1,midnight,5.600324046611786,399.5,61.7
+Mixtral-8x7B-Instruct-v0.1,morning,4.245225775510745,318.15714285714284,45.17857142857143
+Mixtral-8x7B-Instruct-v0.1,noon,5.2255242466926575,350.46,50.36
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,afternoon,1.7891986429691316,292.65833333333336,48.225
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,evening,1.8029413998126984,282.245,46.325
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,midnight,2.0674875736236573,372.05,62.6
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,morning,1.7550641377766927,283.4533333333333,47.29
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,noon,1.8389003086090088,314.46,52.08
+chat-bison,morning,3.890243631601334,398.075,49.0
+chat-bison (PaLM 2),afternoon,2.8929106787631387,385.43684210526317,55.810526315789474
+chat-bison (PaLM 2),evening,2.7066626918315886,374.8975,54.42
+chat-bison (PaLM 2),midnight,2.501569759845734,381.95,60.9
+chat-bison (PaLM 2),morning,2.4689753359014337,381.8840909090909,60.902272727272724
+chat-bison (PaLM 2),noon,2.571754927635193,352.17,50.81
+chat-bison-32k,morning,4.128177767992019,389.925,48.025
+chat-bison-32k (PaLM 2 32K),afternoon,4.44931383258418,349.0105263157895,49.86052631578947
+chat-bison-32k (PaLM 2 32K),evening,7.76503027677536,339.705,48.6525
+chat-bison-32k (PaLM 2 32K),midnight,7.170754861831665,335.75,53.85
+chat-bison-32k (PaLM 2 32K),morning,7.92237914909016,335.75,53.85
+chat-bison-32k (PaLM 2 32K),noon,6.040619640350342,323.17,45.15
+gemini-pro,afternoon,2.8898058522299785,366.08684210526314,52.444736842105264
+gemini-pro,evening,3.060831026541881,364.98,52.845
+gemini-pro,midnight,2.8754740890703703,364.45,57.0
+gemini-pro,morning,3.172877737902161,386.9125,58.09464285714286
+gemini-pro,noon,2.7814492097834953,348.55,49.4
+gpt-3.5-turbo,afternoon,4.1847387138678105,398.0991253644315,45.470845481049565
+gpt-3.5-turbo,evening,4.304991676779234,399.01502145922746,44.74034334763949
+gpt-3.5-turbo,midnight,3.5683146858215333,404.84,43.88
+gpt-3.5-turbo,morning,4.437713119534958,423.19741379310346,49.02155172413793
+gpt-3.5-turbo,noon,4.098882734775543,346.4125,34.7375
+gpt-4,afternoon,16.17388726863186,320.5529411764706,39.75588235294118
+gpt-4,evening,14.089318896690486,316.045652173913,38.46413043478261
+gpt-4,midnight,12.091028991371694,316.73,37.44
+gpt-4,morning,12.958622653407113,330.034375,41.71145833333333
+gpt-4,noon,17.375231413543226,295.78125,31.23125
+gpt-4-turbo,afternoon,18.663996428251266,364.4514705882353,47.06470588235294
+gpt-4-turbo,evening,15.48614443048187,399.3239130434783,46.46630434782609
+gpt-4-turbo,midnight,11.938190605640411,384.78,44.55
+gpt-4-turbo,morning,13.66163076336185,369.496875,48.915625
+gpt-4-turbo,noon,16.01451396048069,374.3375,45.11875
+llama-2-70b-chat,afternoon,3.9614109361273613,429.84293193717275,60.924083769633505
+llama-2-70b-chat,evening,3.514792161901998,407.02941176470586,57.77205882352941
+llama-2-70b-chat,midnight,2.7049551407496133,312.85,48.55
+llama-2-70b-chat,morning,3.5679600898884543,378.98214285714283,56.725
+llama-2-70b-chat,noon,4.026921252409617,294.06,42.54
+zephyr-7b-beta,afternoon,3.5596186633871385,273.65833333333336,43.233333333333334
+zephyr-7b-beta,evening,3.4374013015202114,242.40714285714284,37.892857142857146
+zephyr-7b-beta,midnight,,,
+zephyr-7b-beta,morning,3.3750870446364085,158.19166666666666,24.941666666666666
+zephyr-7b-beta,noon,3.3402509868144987,216.9,33.575
diff --git a/data/2024-02-03 22:21:49.754184_time_of_day_comparison.csv b/data/2024-02-03 22:21:49.754184_time_of_day_comparison.csv
new file mode 100644
index 0000000000000000000000000000000000000000..130252249125616d38a96e208ec810d5d08d79b7
--- /dev/null
+++ b/data/2024-02-03 22:21:49.754184_time_of_day_comparison.csv
@@ -0,0 +1,267 @@
+model,hour,execution_time,characters_count,words_count
+Mistral-7B-Instruct-v0.2,0.0,,,
+Mistral-7B-Instruct-v0.2,1.0,1.9149879813194275,37.8,2.95
+Mistral-7B-Instruct-v0.2,2.0,,,
+Mistral-7B-Instruct-v0.2,3.0,,,
+Mistral-7B-Instruct-v0.2,4.0,,,
+Mistral-7B-Instruct-v0.2,5.0,,,
+Mistral-7B-Instruct-v0.2,6.0,,,
+Mistral-7B-Instruct-v0.2,7.0,,,
+Mistral-7B-Instruct-v0.2,8.0,,,
+Mistral-7B-Instruct-v0.2,9.0,,,
+Mistral-7B-Instruct-v0.2,10.0,,,
+Mistral-7B-Instruct-v0.2,11.0,3.734026002883911,362.9,58.35
+Mistral-7B-Instruct-v0.2,12.0,3.1783012986183166,210.325,30.975
+Mistral-7B-Instruct-v0.2,13.0,,,
+Mistral-7B-Instruct-v0.2,14.0,3.2796461462974547,233.8,33.525
+Mistral-7B-Instruct-v0.2,15.0,3.749682915210724,362.9,58.35
+Mistral-7B-Instruct-v0.2,16.0,3.023258109887441,172.18333333333334,22.95
+Mistral-7B-Instruct-v0.2,17.0,,,
+Mistral-7B-Instruct-v0.2,18.0,3.741873788833618,362.9,58.35
+Mistral-7B-Instruct-v0.2,19.0,,,
+Mistral-7B-Instruct-v0.2,20.0,3.225523215532303,210.325,30.975
+Mistral-7B-Instruct-v0.2,21.0,3.2891411036252975,219.7875,31.7625
+Mistral-7B-Instruct-v0.2,22.0,,,
+Mistral-7B-Instruct-v0.2,23.0,,,
+Mixtral-8x7B-Instruct-v0.1,0.0,5.600324046611786,399.5,61.7
+Mixtral-8x7B-Instruct-v0.1,1.0,3.643988568608354,389.36,55.27
+Mixtral-8x7B-Instruct-v0.1,2.0,3.1196579193246774,275.875,42.4
+Mixtral-8x7B-Instruct-v0.1,3.0,3.017132020765735,316.8,49.025
+Mixtral-8x7B-Instruct-v0.1,4.0,3.0949330102829706,200.375,30.9
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+zephyr-7b-beta,21.0,3.339973047375679,219.1875,33.6875
+zephyr-7b-beta,22.0,,,
+zephyr-7b-beta,23.0,,,
diff --git a/data/2024-02-03 22:30:15.856748_time_of_day_comparison.csv b/data/2024-02-03 22:30:15.856748_time_of_day_comparison.csv
new file mode 100644
index 0000000000000000000000000000000000000000..b9d516ad920187ccea4da16935ba9394656344c2
--- /dev/null
+++ b/data/2024-02-03 22:30:15.856748_time_of_day_comparison.csv
@@ -0,0 +1,91 @@
+model,time,execution_time,characters_count,words_count
+Mistral-7B-Instruct-v0.2,afternoon 12-14,3.228973722457886,222.0625,32.25
+Mistral-7B-Instruct-v0.2,early morning 6-8,,,
+Mistral-7B-Instruct-v0.2,evening 18-20,3.397640073299408,261.18333333333334,40.1
+Mistral-7B-Instruct-v0.2,late afternoon 15-17,3.2048643112182615,219.8625,31.8
+Mistral-7B-Instruct-v0.2,morning 9-11,3.734026002883911,362.9,58.35
+Mistral-7B-Instruct-v0.2,night 0-2,1.9149879813194275,37.8,2.95
+Mistral-7B-Instruct-v0.2,night 21-23,3.389284573495388,175.79375,25.68125
+Mistral-7B-Instruct-v0.2,night 3-5,,,
+Mixtral-8x7B-Instruct-v0.1,afternoon 12-14,5.362903979589355,369.3192307692308,54.353846153846156
+Mixtral-8x7B-Instruct-v0.1,early morning 6-8,3.2748278152374994,243.2642857142857,37.57857142857143
+Mixtral-8x7B-Instruct-v0.1,evening 18-20,3.6435119574237023,326.69,48.545
+Mixtral-8x7B-Instruct-v0.1,late afternoon 15-17,5.80184749175942,347.9681818181818,47.27272727272727
+Mixtral-8x7B-Instruct-v0.1,morning 9-11,3.9661054956285575,304.82,47.28
+Mixtral-8x7B-Instruct-v0.1,night 0-2,3.8265925436529495,362.25625,52.85625
+Mixtral-8x7B-Instruct-v0.1,night 21-23,5.62397656769588,395.15714285714284,49.02857142857143
+Mixtral-8x7B-Instruct-v0.1,night 3-5,3.010503646099206,262.8,40.56
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,afternoon 12-14,1.8381905496120452,308.795,51.08
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,early morning 6-8,2.0273348593711855,372.13,62.53
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,evening 18-20,1.7984187936782836,313.99,51.96
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,late afternoon 15-17,1.7547113946505954,285.17857142857144,46.9
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,morning 9-11,1.9041210174560548,372.05,62.6
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,night 0-2,1.6341248273849487,210.2,34.2
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,night 21-23,1.5875422928068372,192.78333333333333,31.261111111111113
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,night 3-5,2.0128010153770446,372.05,62.6
+chat-bison,night 0-2,3.890243631601334,398.075,49.0
+chat-bison (PaLM 2),afternoon 12-14,2.6460144804074215,376.28076923076924,55.965384615384615
+chat-bison (PaLM 2),early morning 6-8,2.4665334616388592,381.9214285714286,60.892857142857146
+chat-bison (PaLM 2),evening 18-20,2.688272579908371,367.07,55.89
+chat-bison (PaLM 2),late afternoon 15-17,3.0387172081253744,381.1363636363636,53.35454545454545
+chat-bison (PaLM 2),morning 9-11,2.488477897644043,381.73,60.88
+chat-bison (PaLM 2),night 0-2,2.468383938074112,381.95,60.9
+chat-bison (PaLM 2),night 21-23,2.7250528037548065,382.725,52.95
+chat-bison (PaLM 2),night 3-5,2.460119960308075,381.92,60.94
+chat-bison-32k,night 0-2,4.128177767992019,389.925,48.025
+chat-bison-32k (PaLM 2 32K),afternoon 12-14,5.014458654477046,339.3692307692308,49.323076923076925
+chat-bison-32k (PaLM 2 32K),early morning 6-8,9.141417106560299,335.75,53.85
+chat-bison-32k (PaLM 2 32K),evening 18-20,7.7332194912433625,329.46,49.5
+chat-bison-32k (PaLM 2 32K),late afternoon 15-17,4.5047362284226855,348.65909090909093,48.35454545454545
+chat-bison-32k (PaLM 2 32K),morning 9-11,7.7035503840446475,335.75,53.85
+chat-bison-32k (PaLM 2 32K),night 0-2,7.7498266498247785,335.75,53.85
+chat-bison-32k (PaLM 2 32K),night 21-23,7.796841062307358,349.95,47.805
+chat-bison-32k (PaLM 2 32K),night 3-5,6.491292915344238,335.75,53.85
+gemini-pro,afternoon 12-14,2.816922114008949,360.62307692307695,53.25769230769231
+gemini-pro,early morning 6-8,2.7453590130460435,381.2214285714286,60.964285714285715
+gemini-pro,evening 18-20,2.86901999375759,366.4,55.045
+gemini-pro,late afternoon 15-17,2.9268629640903114,364.57272727272726,50.1
+gemini-pro,morning 9-11,2.497767536007628,371.93,59.39
+gemini-pro,night 0-2,3.338477972348531,369.825,55.9125
+gemini-pro,night 21-23,3.7189874940246117,390.9142857142857,51.35
+gemini-pro,night 3-5,2.8375814715210272,374.8,60.04
+gpt-3.5-turbo,afternoon 12-14,3.9458200880459375,381.4428571428571,43.76190476190476
+gpt-3.5-turbo,early morning 6-8,3.787998208734724,403.74444444444447,47.34444444444444
+gpt-3.5-turbo,evening 18-20,3.5153889304115657,385.18095238095236,46.01428571428571
+gpt-3.5-turbo,late afternoon 15-17,4.384064777692159,396.4357142857143,43.28333333333333
+gpt-3.5-turbo,morning 9-11,3.126271222697364,389.9888888888889,50.93888888888889
+gpt-3.5-turbo,night 0-2,3.822115447632102,426.71923076923076,49.05
+gpt-3.5-turbo,night 21-23,5.110168156187617,422.73510971786834,45.358934169278996
+gpt-3.5-turbo,night 3-5,6.062970260473398,418.6192307692308,44.926923076923075
+gpt-4,afternoon 12-14,16.002364798386893,318.3095238095238,38.77142857142857
+gpt-4,early morning 6-8,14.348626694414351,323.5388888888889,40.544444444444444
+gpt-4,evening 18-20,13.841120740345547,318.0809523809524,40.19285714285714
+gpt-4,late afternoon 15-17,16.80607506932254,313.3595238095238,37.49285714285714
+gpt-4,morning 9-11,12.759107512468733,338.18333333333334,46.85
+gpt-4,night 0-2,12.3578163115329,334.075,41.35
+gpt-4,night 21-23,14.298642643005493,314.336,37.012
+gpt-4,night 3-5,12.813134506115546,316.93461538461537,37.93076923076923
+gpt-4-turbo,afternoon 12-14,13.997754749229976,351.01190476190476,46.03333333333333
+gpt-4-turbo,early morning 6-8,11.555620827939775,357.65555555555557,47.21666666666667
+gpt-4-turbo,evening 18-20,16.550320884159632,382.31666666666666,48.45
+gpt-4-turbo,late afternoon 15-17,22.320911452883767,381.65714285714284,47.35476190476191
+gpt-4-turbo,morning 9-11,13.686854598257277,381.8888888888889,55.02777777777778
+gpt-4-turbo,night 0-2,13.770663784850727,382.7613636363636,47.61818181818182
+gpt-4-turbo,night 21-23,14.592236209392548,413.61,44.8
+gpt-4-turbo,night 3-5,14.254795966698573,352.54615384615386,46.37692307692308
+llama-2-70b-chat,afternoon 12-14,4.234376892130426,375.44615384615383,55.238461538461536
+llama-2-70b-chat,early morning 6-8,2.8660141522424265,289.6642857142857,44.614285714285714
+llama-2-70b-chat,evening 18-20,2.9706250462084185,317.245,47.4
+llama-2-70b-chat,late afternoon 15-17,3.6833307104881365,433.6636363636364,59.445454545454545
+llama-2-70b-chat,morning 9-11,2.872361832027194,283.35,43.45
+llama-2-70b-chat,night 0-2,3.249819871626402,346.8875,52.06875
+llama-2-70b-chat,night 21-23,4.719581684340602,572.1689655172414,79.83103448275862
+llama-2-70b-chat,night 3-5,2.8264514451677147,313.71,48.42
+zephyr-7b-beta,afternoon 12-14,3.5789777278900146,277.6,44.016666666666666
+zephyr-7b-beta,early morning 6-8,,,
+zephyr-7b-beta,evening 18-20,3.5673056403795878,273.3666666666667,43.5
+zephyr-7b-beta,late afternoon 15-17,3.4592524923459447,248.59,38.9
+zephyr-7b-beta,morning 9-11,4.056525647640228,386.3,63.35
+zephyr-7b-beta,night 0-2,1.9264068841934203,29.75,3.3
+zephyr-7b-beta,night 21-23,3.45343524068594,176.23125,27.21875
+zephyr-7b-beta,night 3-5,,,
diff --git a/data/2024-02-03 22:31:14.132394_time_of_day_comparison.csv b/data/2024-02-03 22:31:14.132394_time_of_day_comparison.csv
new file mode 100644
index 0000000000000000000000000000000000000000..28a8d10a8415887d55cc67369a3d161d2b470dc2
--- /dev/null
+++ b/data/2024-02-03 22:31:14.132394_time_of_day_comparison.csv
@@ -0,0 +1,91 @@
+model,time_of_day,execution_time,characters_count,words_count
+Mistral-7B-Instruct-v0.2,afternoon 12-14,3.228973722457886,222.0625,32.25
+Mistral-7B-Instruct-v0.2,early morning 6-8,,,
+Mistral-7B-Instruct-v0.2,evening 18-20,3.397640073299408,261.18333333333334,40.1
+Mistral-7B-Instruct-v0.2,late afternoon 15-17,3.2048643112182615,219.8625,31.8
+Mistral-7B-Instruct-v0.2,morning 9-11,3.734026002883911,362.9,58.35
+Mistral-7B-Instruct-v0.2,night 0-2,1.9149879813194275,37.8,2.95
+Mistral-7B-Instruct-v0.2,night 21-23,3.389284573495388,175.79375,25.68125
+Mistral-7B-Instruct-v0.2,night 3-5,,,
+Mixtral-8x7B-Instruct-v0.1,afternoon 12-14,5.362903979589355,369.3192307692308,54.353846153846156
+Mixtral-8x7B-Instruct-v0.1,early morning 6-8,3.2748278152374994,243.2642857142857,37.57857142857143
+Mixtral-8x7B-Instruct-v0.1,evening 18-20,3.6435119574237023,326.69,48.545
+Mixtral-8x7B-Instruct-v0.1,late afternoon 15-17,5.80184749175942,347.9681818181818,47.27272727272727
+Mixtral-8x7B-Instruct-v0.1,morning 9-11,3.9661054956285575,304.82,47.28
+Mixtral-8x7B-Instruct-v0.1,night 0-2,3.8265925436529495,362.25625,52.85625
+Mixtral-8x7B-Instruct-v0.1,night 21-23,5.62397656769588,395.15714285714284,49.02857142857143
+Mixtral-8x7B-Instruct-v0.1,night 3-5,3.010503646099206,262.8,40.56
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,afternoon 12-14,1.8381905496120452,308.795,51.08
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,early morning 6-8,2.0273348593711855,372.13,62.53
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,evening 18-20,1.7984187936782836,313.99,51.96
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,late afternoon 15-17,1.7547113946505954,285.17857142857144,46.9
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,morning 9-11,1.9041210174560548,372.05,62.6
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,night 0-2,1.6341248273849487,210.2,34.2
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,night 21-23,1.5875422928068372,192.78333333333333,31.261111111111113
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,night 3-5,2.0128010153770446,372.05,62.6
+chat-bison,night 0-2,3.890243631601334,398.075,49.0
+chat-bison (PaLM 2),afternoon 12-14,2.6460144804074215,376.28076923076924,55.965384615384615
+chat-bison (PaLM 2),early morning 6-8,2.4665334616388592,381.9214285714286,60.892857142857146
+chat-bison (PaLM 2),evening 18-20,2.688272579908371,367.07,55.89
+chat-bison (PaLM 2),late afternoon 15-17,3.0387172081253744,381.1363636363636,53.35454545454545
+chat-bison (PaLM 2),morning 9-11,2.488477897644043,381.73,60.88
+chat-bison (PaLM 2),night 0-2,2.468383938074112,381.95,60.9
+chat-bison (PaLM 2),night 21-23,2.7250528037548065,382.725,52.95
+chat-bison (PaLM 2),night 3-5,2.460119960308075,381.92,60.94
+chat-bison-32k,night 0-2,4.128177767992019,389.925,48.025
+chat-bison-32k (PaLM 2 32K),afternoon 12-14,5.014458654477046,339.3692307692308,49.323076923076925
+chat-bison-32k (PaLM 2 32K),early morning 6-8,9.141417106560299,335.75,53.85
+chat-bison-32k (PaLM 2 32K),evening 18-20,7.7332194912433625,329.46,49.5
+chat-bison-32k (PaLM 2 32K),late afternoon 15-17,4.5047362284226855,348.65909090909093,48.35454545454545
+chat-bison-32k (PaLM 2 32K),morning 9-11,7.7035503840446475,335.75,53.85
+chat-bison-32k (PaLM 2 32K),night 0-2,7.7498266498247785,335.75,53.85
+chat-bison-32k (PaLM 2 32K),night 21-23,7.796841062307358,349.95,47.805
+chat-bison-32k (PaLM 2 32K),night 3-5,6.491292915344238,335.75,53.85
+gemini-pro,afternoon 12-14,2.816922114008949,360.62307692307695,53.25769230769231
+gemini-pro,early morning 6-8,2.7453590130460435,381.2214285714286,60.964285714285715
+gemini-pro,evening 18-20,2.86901999375759,366.4,55.045
+gemini-pro,late afternoon 15-17,2.9268629640903114,364.57272727272726,50.1
+gemini-pro,morning 9-11,2.497767536007628,371.93,59.39
+gemini-pro,night 0-2,3.338477972348531,369.825,55.9125
+gemini-pro,night 21-23,3.7189874940246117,390.9142857142857,51.35
+gemini-pro,night 3-5,2.8375814715210272,374.8,60.04
+gpt-3.5-turbo,afternoon 12-14,3.9458200880459375,381.4428571428571,43.76190476190476
+gpt-3.5-turbo,early morning 6-8,3.787998208734724,403.74444444444447,47.34444444444444
+gpt-3.5-turbo,evening 18-20,3.5153889304115657,385.18095238095236,46.01428571428571
+gpt-3.5-turbo,late afternoon 15-17,4.384064777692159,396.4357142857143,43.28333333333333
+gpt-3.5-turbo,morning 9-11,3.126271222697364,389.9888888888889,50.93888888888889
+gpt-3.5-turbo,night 0-2,3.822115447632102,426.71923076923076,49.05
+gpt-3.5-turbo,night 21-23,5.110168156187617,422.73510971786834,45.358934169278996
+gpt-3.5-turbo,night 3-5,6.062970260473398,418.6192307692308,44.926923076923075
+gpt-4,afternoon 12-14,16.002364798386893,318.3095238095238,38.77142857142857
+gpt-4,early morning 6-8,14.348626694414351,323.5388888888889,40.544444444444444
+gpt-4,evening 18-20,13.841120740345547,318.0809523809524,40.19285714285714
+gpt-4,late afternoon 15-17,16.80607506932254,313.3595238095238,37.49285714285714
+gpt-4,morning 9-11,12.759107512468733,338.18333333333334,46.85
+gpt-4,night 0-2,12.3578163115329,334.075,41.35
+gpt-4,night 21-23,14.298642643005493,314.336,37.012
+gpt-4,night 3-5,12.813134506115546,316.93461538461537,37.93076923076923
+gpt-4-turbo,afternoon 12-14,13.997754749229976,351.01190476190476,46.03333333333333
+gpt-4-turbo,early morning 6-8,11.555620827939775,357.65555555555557,47.21666666666667
+gpt-4-turbo,evening 18-20,16.550320884159632,382.31666666666666,48.45
+gpt-4-turbo,late afternoon 15-17,22.320911452883767,381.65714285714284,47.35476190476191
+gpt-4-turbo,morning 9-11,13.686854598257277,381.8888888888889,55.02777777777778
+gpt-4-turbo,night 0-2,13.770663784850727,382.7613636363636,47.61818181818182
+gpt-4-turbo,night 21-23,14.592236209392548,413.61,44.8
+gpt-4-turbo,night 3-5,14.254795966698573,352.54615384615386,46.37692307692308
+llama-2-70b-chat,afternoon 12-14,4.234376892130426,375.44615384615383,55.238461538461536
+llama-2-70b-chat,early morning 6-8,2.8660141522424265,289.6642857142857,44.614285714285714
+llama-2-70b-chat,evening 18-20,2.9706250462084185,317.245,47.4
+llama-2-70b-chat,late afternoon 15-17,3.6833307104881365,433.6636363636364,59.445454545454545
+llama-2-70b-chat,morning 9-11,2.872361832027194,283.35,43.45
+llama-2-70b-chat,night 0-2,3.249819871626402,346.8875,52.06875
+llama-2-70b-chat,night 21-23,4.719581684340602,572.1689655172414,79.83103448275862
+llama-2-70b-chat,night 3-5,2.8264514451677147,313.71,48.42
+zephyr-7b-beta,afternoon 12-14,3.5789777278900146,277.6,44.016666666666666
+zephyr-7b-beta,early morning 6-8,,,
+zephyr-7b-beta,evening 18-20,3.5673056403795878,273.3666666666667,43.5
+zephyr-7b-beta,late afternoon 15-17,3.4592524923459447,248.59,38.9
+zephyr-7b-beta,morning 9-11,4.056525647640228,386.3,63.35
+zephyr-7b-beta,night 0-2,1.9264068841934203,29.75,3.3
+zephyr-7b-beta,night 21-23,3.45343524068594,176.23125,27.21875
+zephyr-7b-beta,night 3-5,,,
diff --git a/data/2024-02-03 22:33:36.957992_time_of_day_comparison.csv b/data/2024-02-03 22:33:36.957992_time_of_day_comparison.csv
new file mode 100644
index 0000000000000000000000000000000000000000..1bfa7b9d1951e642677bd03c6715a816c6b4e199
--- /dev/null
+++ b/data/2024-02-03 22:33:36.957992_time_of_day_comparison.csv
@@ -0,0 +1,91 @@
+model,time_of_day,execution_time,characters_count,words_count
+Mistral-7B-Instruct-v0.2,0-2 midnight,1.9149879813194275,37.8,2.95
+Mistral-7B-Instruct-v0.2,12-14 afternoon,3.228973722457886,222.0625,32.25
+Mistral-7B-Instruct-v0.2,15-17 late afternoon,3.2048643112182615,219.8625,31.8
+Mistral-7B-Instruct-v0.2,18-20 evening,3.397640073299408,261.18333333333334,40.1
+Mistral-7B-Instruct-v0.2,21-23 late evening,3.389284573495388,175.79375,25.68125
+Mistral-7B-Instruct-v0.2,3-5 night,,,
+Mistral-7B-Instruct-v0.2,6-8 early morning,,,
+Mistral-7B-Instruct-v0.2,9-11 morning,3.734026002883911,362.9,58.35
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diff --git a/data/2024-02-03 22:42:23.322179_summary.csv b/data/2024-02-03 22:42:23.322179_summary.csv
new file mode 100644
index 0000000000000000000000000000000000000000..761e8fd47df67b529ed8b02afdf6fa129fe7fb7a
--- /dev/null
+++ b/data/2024-02-03 22:42:23.322179_summary.csv
@@ -0,0 +1,75 @@
+model,language,template_name,execution_time,characters_count,words_count,chunk_sizes_mean,chunk_sizes_min,chunk_sizes_max,chunk_generation_times_mean,chunk_generation_times_min,chunk_generation_times_max
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+Mistral-7B-Instruct-v0.2,japanese,call,,,,,,,,,
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+Mixtral-8x7B-Instruct-v0.1,english,call,,,,,,,,,
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+Mixtral-8x7B-Instruct-v0.1,japanese,call,,,,,,,,,
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+TinyLlama/TinyLlama-1.1B-Chat-v1.0,english,call,,,,,,,,,
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+TinyLlama/TinyLlama-1.1B-Chat-v1.0,japanese,call,,,,,,,,,
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+chat-bison,english,call,,,,,,,,,
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+chat-bison (PaLM 2),japanese,call,,,,,,,,,
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+chat-bison (PaLM 2),japanese,markdown,4.669546687602997,431.725,13.85,31.74448529411765,2.0,124.0,0.27883222348549785,0.0005550384521484375,7.114030122756958
+chat-bison-32k,english,call,,,,,,,,,
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+chat-bison-32k (PaLM 2 32K),japanese,call,,,,,,,,,
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diff --git a/data/2024-02-03 22:42:30.259126_general_plot.csv b/data/2024-02-03 22:42:30.259126_general_plot.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cd93d28cbaa38bd37fa62ec6cbca5694c7ecd9c4
--- /dev/null
+++ b/data/2024-02-03 22:42:30.259126_general_plot.csv
@@ -0,0 +1,428 @@
+path,plot_object,description,comment,plot_json
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diff --git a/data/2024-02-05 12:03:42.452218_general_plot.csv b/data/2024-02-05 12:03:42.452218_general_plot.csv
new file mode 100644
index 0000000000000000000000000000000000000000..affde185e12b302170db015051401b869f0920ba
--- /dev/null
+++ b/data/2024-02-05 12:03:42.452218_general_plot.csv
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+ 'type': 'bar',
+ 'x': array(['Mistral-7B-Instruct-v0.2'], dtype=object),
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+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
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+ 'legendgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
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+ 'textposition': 'auto',
+ 'type': 'bar',
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+ 'yaxis': 'y'}],
+ 'layout': {'barmode': 'relative',
+ 'legend': {'title': {'text': 'Model'}, 'tracegroupgap': 0},
+ 'template': '...',
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diff --git a/data/2024-02-05 12:03:45.281624_model_costs.csv b/data/2024-02-05 12:03:45.281624_model_costs.csv
new file mode 100644
index 0000000000000000000000000000000000000000..94d94f28ab92a51dc094610ff4b5d95c4e339043
--- /dev/null
+++ b/data/2024-02-05 12:03:45.281624_model_costs.csv
@@ -0,0 +1,12 @@
+model,provider,cost_per_token,provider_pricing
+gpt-3.5-turbo,OpenAI,"$1 / 1M input tokens, $2 / 1M output tokens","$1 / 1M input tokens, $2 / 1M output tokens"
+gpt-4-turbo,OpenAI,"$10 / 1M input tokens, $30 / 1M output tokens","$10 / 1M input tokens, $30 / 1M output tokens"
+gpt-4,OpenAI,"$30 / 1M input tokens, $60 / 1M output tokens","$30 / 1M input tokens, $60 / 1M output tokens"
+llama-2-70b-chat,Together AI,$0.9 / 1M tokens,$0.9 / 1M tokens
+Mixtral-8x7B-Instruct-v0.1,Together AI,$0.9 / 1M tokens,$0.9 / 1M tokens
+zephyr-7b-beta,Hugging Face Inference Endpoint,$0.15 / 1M tokens,$1.3 / hour
+Mistral-7B-Instruct-v0.2,Hugging Face Inference Endpoint,$0.14 / 1M tokens,$1.3 / hour
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,Hugging Face Inference Endpoint,$0.068 / 1M tokens,$0.6 / hour
+gemini-pro,Google VertexAI,"$0.25 / 1M input tokens, $0.5 / 1M output tokens","$0.25 / 1M input characters, $0.5 / 1M output characters (60 queries per minute are free)"
+chat-bison (PaLM 2),Google VertexAI,"$0.25 / 1M input tokens, $0.5 / 1M output tokens","$0.25 / 1M input tokens, $0.5 / 1M output tokens"
+chat-bison-32k (PaLM 2 32K),Google VertexAI,"$0.25 / 1M input tokens, $0.5 / 1M output tokens","$0.25 / 1M input tokens, $0.5 / 1M output tokens"
diff --git a/data/2024-02-05 23:33:22.947120_summary.csv b/data/2024-02-05 23:33:22.947120_summary.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e0c1c7c04f0f7c3d61695198def0c1191baf443f
--- /dev/null
+++ b/data/2024-02-05 23:33:22.947120_summary.csv
@@ -0,0 +1,55 @@
+model,language,template_name,execution_time,characters_count,words_count,chunk_sizes_mean,chunk_sizes_min,chunk_sizes_max,chunk_generation_times_mean,chunk_generation_times_min,chunk_generation_times_max
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+Mistral-7B-Instruct-v0.2,english,markdown,3.7188014924526214,366.85,57.1375,4.239202657807309,1.0,16.0,0.03371991898375372,0.020945072174072266,0.25538039207458496
+Mistral-7B-Instruct-v0.2,japanese,json,2.413569121701377,52.07857142857143,3.414285714285714,1.2991803278688525,1.0,11.0,0.039267738759305254,0.00047779083251953125,3.370748996734619
+Mistral-7B-Instruct-v0.2,japanese,markdown,2.323612022399902,42.25,1.5833333333333333,1.1069868995633187,1.0,6.0,0.03958142719935121,0.0004932880401611328,0.2205650806427002
+Mixtral-8x7B-Instruct-v0.1,english,json,3.643989532061343,404.10849056603774,62.575471698113205,4.137546333747872,1.0,15.0,0.014243678199270911,0.00020456314086914062,3.4127349853515625
+Mixtral-8x7B-Instruct-v0.1,english,markdown,5.995457515120506,533.9270833333334,85.15625,4.360071452875127,1.0,15.0,0.016480832612607788,0.00021076202392578125,1.7103569507598877
+Mixtral-8x7B-Instruct-v0.1,japanese,json,7.938035423738243,565.6496350364963,64.76642335766424,2.248940739450926,1.0,109.0,0.023964353726961752,0.00020885467529296875,76.45081758499146
+Mixtral-8x7B-Instruct-v0.1,japanese,markdown,9.979603266716003,431.71666666666664,5.983333333333333,1.0810483702683527,1.0,12.0,0.017558807731893653,0.0002148151397705078,2.994176149368286
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,english,json,1.9458302193674548,366.25,61.58965517241379,4.169774654522613,1.0,13.0,0.012296600931852907,0.00024318695068359375,0.17363858222961426
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,english,markdown,1.6830505162477494,282.55,47.1125,3.9572829131652663,1.0,14.0,0.012217252319600401,0.0003170967102050781,0.15227961540222168
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,japanese,json,1.4167885013989039,72.81428571428572,8.8,2.0274463007159906,1.0,13.0,0.014790566363975749,0.00031280517578125,0.3310587406158447
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,japanese,markdown,1.336316986878713,89.78333333333333,12.716666666666667,2.432054176072235,1.0,13.0,0.013910464400900675,0.0005300045013427734,0.176621675491333
+chat-bison,english,json,3.446989095211029,550.05,86.0,89.4390243902439,1.0,138.0,0.4258628240445765,0.0006544589996337891,2.2015340328216553
+chat-bison,japanese,json,4.333498167991638,246.1,12.0,33.48299319727891,3.0,124.0,0.47770044917152044,0.0005426406860351562,3.5425846576690674
+chat-bison (PaLM 2),english,json,2.5406186148524283,381.7267857142857,60.88125,78.31727422604872,1.0,142.0,0.3495202942369709,0.0003688335418701172,7.334931373596191
+chat-bison (PaLM 2),english,markdown,2.9635989278554917,490.4875,78.5375,84.20386266094421,1.0,138.0,0.3641034907025841,0.0004639625549316406,4.600815534591675
+chat-bison (PaLM 2),japanese,json,3.0616454005241396,232.68,10.48,34.21764705882353,3.0,124.0,0.326771635167739,0.0005857944488525391,2.7724690437316895
+chat-bison (PaLM 2),japanese,markdown,4.669546687602997,431.725,13.85,31.74448529411765,2.0,124.0,0.27883222348549785,0.0005550384521484375,7.114030122756958
+chat-bison-32k,english,json,3.74513863325119,538.4,84.25,88.26229508196721,1.0,134.0,0.47832588094179745,0.0006556510925292969,3.0114917755126953
+chat-bison-32k,japanese,json,4.5112169027328495,241.45,11.8,35.77037037037037,6.0,124.0,0.5467217816246881,0.0005869865417480469,4.387756824493408
+chat-bison-32k (PaLM 2 32K),english,json,7.142214598400252,335.47232142857143,53.799107142857146,77.18344289235826,1.0,133.0,1.4512595853652734,0.00041985511779785156,101.5493803024292
+chat-bison-32k (PaLM 2 32K),english,markdown,3.44630788564682,429.95,69.35,82.6826923076923,1.0,133.0,0.5048719226167753,0.0005412101745605469,18.035786390304565
+chat-bison-32k (PaLM 2 32K),japanese,json,5.072022783756256,272.85,10.35,34.320754716981135,4.0,124.0,0.5336985453119818,0.0005052089691162109,52.47814655303955
+chat-bison-32k (PaLM 2 32K),japanese,markdown,6.1971998631954195,446.45,21.4,32.118705035971225,5.0,124.0,0.3856057263106751,0.0005400180816650391,7.165225505828857
+gemini-pro,english,json,2.7415290858475547,388.5206321334504,62.01755926251097,204.58853444290338,1.0,988.0,1.4202116817663073,0.0004703998565673828,13.73231840133667
+gemini-pro,english,markdown,3.0089986324310303,487.1458333333333,80.67708333333333,183.39607843137256,12.0,472.0,1.1130499073103362,0.0006177425384521484,4.875006198883057
+gemini-pro,japanese,json,4.5300196591070145,276.6694915254237,6.983050847457627,91.1927374301676,4.0,333.0,1.4752027082709627,0.0006062984466552734,8.291066646575928
+gemini-pro,japanese,markdown,6.166934008781727,422.7307692307692,9.096153846153847,90.83471074380165,9.0,266.0,1.3123543331445742,0.0006639957427978516,13.754565954208374
+gpt-3.5-turbo,english,call,2.908525016600803,456.85911016949154,72.26059322033899,,,,,,
+gpt-3.5-turbo,english,json,2.566863525494622,398.56960556844547,65.32366589327147,4.806746320443226,1.0,16.0,0.015585779219764062,0.0005395412445068359,1.4500916004180908
+gpt-3.5-turbo,english,markdown,2.3388922008184285,506.90384615384613,81.99038461538461,5.050584403142365,1.0,16.0,0.01715806382989308,0.0005617141723632812,1.127073049545288
+gpt-3.5-turbo,japanese,call,7.255881716940138,382.95,6.351111111111111,,,,,,
+gpt-3.5-turbo,japanese,json,5.226112197780009,237.1069182389937,3.559748427672956,1.1291481969569905,1.0,7.0,0.02129129201220198,0.0005452632904052734,13.75982117652893
+gpt-3.5-turbo,japanese,markdown,7.29901300883684,358.72131147540983,6.065573770491803,1.1894977168949772,1.0,15.0,0.021750167313542772,0.0005612373352050781,13.71114993095398
+gpt-4,english,call,9.15708539162022,374.16815144766144,59.661469933184854,,,,,,
+gpt-4,english,json,7.963626848197565,383.3707317073171,61.69512195121951,4.7834568389659005,1.0,16.0,0.08687007305138472,0.000537872314453125,3.531284809112549
+gpt-4,english,markdown,10.02310108244419,428.35,67.825,4.990243192078054,1.0,16.0,0.10377185442257747,0.0005447864532470703,2.087376117706299
+gpt-4,japanese,call,24.259297592319243,214.9076023391813,1.1695906432748537,,,,,,
+gpt-4,japanese,json,22.703774025460252,211.63025210084032,4.168067226890757,1.1685226429101707,1.0,7.0,0.11835955503744466,0.0005507469177246094,3.5608017444610596
+gpt-4,japanese,markdown,31.99519391655922,275.1,2.925,1.1327980234712787,1.0,9.0,0.12606545905407157,0.0005619525909423828,2.9794347286224365
+gpt-4-turbo,english,call,7.319288367695279,372.86,58.532222222222224,,,,,,
+gpt-4-turbo,english,json,6.457074524425879,407.0243902439024,64.18414634146342,4.735998183701559,1.0,17.0,0.06474667943090798,0.0006806850433349609,5.431884765625
+gpt-4-turbo,english,markdown,8.325546002388,462.1125,71.925,4.984360253471754,1.0,16.0,0.07950969425127868,0.0006999969482421875,2.0926766395568848
+gpt-4-turbo,japanese,call,32.67405146055443,372.7860465116279,24.886046511627907,,,,,,
+gpt-4-turbo,japanese,json,19.359180968999862,250.44166666666666,6.183333333333334,1.184261339007763,1.0,8.0,0.08582140138847597,0.0006830692291259766,13.252992153167725
+gpt-4-turbo,japanese,markdown,20.977174520492554,283.55,4.45,1.1460038395473375,1.0,10.0,0.07991695286011809,0.0007085800170898438,2.3845231533050537
+llama-2-70b-chat,english,json,2.917410132025375,355.7463556851312,54.861030126336246,4.02267032967033,1.0,15.0,0.019103390617685005,0.0001990795135498047,3.8762006759643555
+llama-2-70b-chat,english,markdown,4.99397261045417,827.5714285714286,125.95918367346938,4.177931176591799,1.0,16.0,0.018161741699259625,0.0002124309539794922,0.7439091205596924
+llama-2-70b-chat,japanese,json,5.265992468681889,369.3768115942029,42.56521739130435,2.3362207250561435,1.0,15.0,0.023359512199899433,0.00020837783813476562,0.9314718246459961
+llama-2-70b-chat,japanese,markdown,11.084085723449444,1379.6896551724137,158.01724137931035,2.2644745033674796,1.0,16.0,0.01566780037868879,0.0002117156982421875,76.44498753547668
+zephyr-7b-beta,english,json,3.94231437737087,367.57232704402514,60.257861635220124,4.262252042007002,1.0,14.0,0.03629181767914927,0.0003070831298828125,0.4896988868713379
+zephyr-7b-beta,english,markdown,4.959704548120499,358.9375,58.3625,4.390672782874618,1.0,15.0,0.05067269182351022,0.00040459632873535156,75.15552616119385
+zephyr-7b-beta,japanese,json,2.339889786640803,41.583333333333336,3.6333333333333333,1.1566991191469633,1.0,7.0,0.042134473762636,0.018090486526489258,0.4599947929382324
+zephyr-7b-beta,japanese,markdown,2.3176693956057233,38.1,2.3833333333333333,1.0343891402714933,1.0,4.0,0.041092377011053165,0.02583909034729004,0.4606599807739258
diff --git a/data/2024-02-06 07:53:19.636658_time_of_day_comparison.csv b/data/2024-02-06 07:53:19.636658_time_of_day_comparison.csv
new file mode 100644
index 0000000000000000000000000000000000000000..b28987953bda76f17b8f5e7f697e43a03818f4fa
--- /dev/null
+++ b/data/2024-02-06 07:53:19.636658_time_of_day_comparison.csv
@@ -0,0 +1,91 @@
+model,time_of_day,execution_time,characters_count,words_count
+Mistral-7B-Instruct-v0.2,0-2 midnight,1.9149879813194275,37.8,2.95
+Mistral-7B-Instruct-v0.2,12-14 afternoon,3.228973722457886,222.0625,32.25
+Mistral-7B-Instruct-v0.2,15-17 late afternoon,3.2048643112182615,219.8625,31.8
+Mistral-7B-Instruct-v0.2,18-20 evening,3.397640073299408,261.18333333333334,40.1
+Mistral-7B-Instruct-v0.2,21-23 late evening,3.389284573495388,175.79375,25.68125
+Mistral-7B-Instruct-v0.2,3-5 night,,,
+Mistral-7B-Instruct-v0.2,6-8 early morning,,,
+Mistral-7B-Instruct-v0.2,9-11 morning,3.734026002883911,362.9,58.35
+Mixtral-8x7B-Instruct-v0.1,0-2 midnight,4.639010797279158,323.0394736842105,42.69210526315789
+Mixtral-8x7B-Instruct-v0.1,12-14 afternoon,5.362903979589355,369.3192307692308,54.353846153846156
+Mixtral-8x7B-Instruct-v0.1,15-17 late afternoon,5.80184749175942,347.9681818181818,47.27272727272727
+Mixtral-8x7B-Instruct-v0.1,18-20 evening,3.6435119574237023,326.69,48.545
+Mixtral-8x7B-Instruct-v0.1,21-23 late evening,5.62397656769588,395.15714285714284,49.02857142857143
+Mixtral-8x7B-Instruct-v0.1,3-5 night,4.009439338194697,301.24545454545455,42.21818181818182
+Mixtral-8x7B-Instruct-v0.1,6-8 early morning,4.526968242530536,285.045,41.86
+Mixtral-8x7B-Instruct-v0.1,9-11 morning,3.9661054956285575,304.82,47.28
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,0-2 midnight,1.6341248273849487,210.2,34.2
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,12-14 afternoon,1.8381905496120452,308.795,51.08
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,15-17 late afternoon,1.7547113946505954,285.17857142857144,46.9
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,18-20 evening,1.7984187936782836,313.99,51.96
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,21-23 late evening,1.5875422928068372,192.78333333333333,31.261111111111113
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,3-5 night,2.0128010153770446,372.05,62.6
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,6-8 early morning,2.0273348593711855,372.13,62.53
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,9-11 morning,1.9041210174560548,372.05,62.6
+chat-bison,0-2 midnight,3.890243631601334,398.075,49.0
+chat-bison (PaLM 2),0-2 midnight,2.468383938074112,381.95,60.9
+chat-bison (PaLM 2),12-14 afternoon,2.6460144804074215,376.28076923076924,55.965384615384615
+chat-bison (PaLM 2),15-17 late afternoon,3.0387172081253744,381.1363636363636,53.35454545454545
+chat-bison (PaLM 2),18-20 evening,2.688272579908371,367.07,55.89
+chat-bison (PaLM 2),21-23 late evening,2.7250528037548065,382.725,52.95
+chat-bison (PaLM 2),3-5 night,2.460119960308075,381.92,60.94
+chat-bison (PaLM 2),6-8 early morning,2.4665334616388592,381.9214285714286,60.892857142857146
+chat-bison (PaLM 2),9-11 morning,2.488477897644043,381.73,60.88
+chat-bison-32k,0-2 midnight,4.128177767992019,389.925,48.025
+chat-bison-32k (PaLM 2 32K),0-2 midnight,7.7498266498247785,335.75,53.85
+chat-bison-32k (PaLM 2 32K),12-14 afternoon,5.014458654477046,339.3692307692308,49.323076923076925
+chat-bison-32k (PaLM 2 32K),15-17 late afternoon,4.5047362284226855,348.65909090909093,48.35454545454545
+chat-bison-32k (PaLM 2 32K),18-20 evening,7.7332194912433625,329.46,49.5
+chat-bison-32k (PaLM 2 32K),21-23 late evening,7.796841062307358,349.95,47.805
+chat-bison-32k (PaLM 2 32K),3-5 night,6.491292915344238,335.75,53.85
+chat-bison-32k (PaLM 2 32K),6-8 early morning,9.141417106560299,335.75,53.85
+chat-bison-32k (PaLM 2 32K),9-11 morning,7.7035503840446475,335.75,53.85
+gemini-pro,0-2 midnight,3.338477972348531,369.825,55.9125
+gemini-pro,12-14 afternoon,2.816922114008949,360.62307692307695,53.25769230769231
+gemini-pro,15-17 late afternoon,2.9268629640903114,364.57272727272726,50.1
+gemini-pro,18-20 evening,2.86901999375759,366.4,55.045
+gemini-pro,21-23 late evening,3.7189874940246117,390.9142857142857,51.35
+gemini-pro,3-5 night,2.8375814715210272,374.8,60.04
+gemini-pro,6-8 early morning,2.7453590130460435,381.2214285714286,60.964285714285715
+gemini-pro,9-11 morning,2.497767536007628,371.93,59.39
+gpt-3.5-turbo,0-2 midnight,3.822115447632102,426.71923076923076,49.05
+gpt-3.5-turbo,12-14 afternoon,3.9458200880459375,381.4428571428571,43.76190476190476
+gpt-3.5-turbo,15-17 late afternoon,4.384064777692159,396.4357142857143,43.28333333333333
+gpt-3.5-turbo,18-20 evening,3.5153889304115657,385.18095238095236,46.01428571428571
+gpt-3.5-turbo,21-23 late evening,5.110168156187617,422.73510971786834,45.358934169278996
+gpt-3.5-turbo,3-5 night,6.062970260473398,418.6192307692308,44.926923076923075
+gpt-3.5-turbo,6-8 early morning,3.787998208734724,403.74444444444447,47.34444444444444
+gpt-3.5-turbo,9-11 morning,3.126271222697364,389.9888888888889,50.93888888888889
+gpt-4,0-2 midnight,12.3578163115329,334.075,41.35
+gpt-4,12-14 afternoon,16.002364798386893,318.3095238095238,38.77142857142857
+gpt-4,15-17 late afternoon,16.80607506932254,313.3595238095238,37.49285714285714
+gpt-4,18-20 evening,13.841120740345547,318.0809523809524,40.19285714285714
+gpt-4,21-23 late evening,14.298642643005493,314.336,37.012
+gpt-4,3-5 night,12.813134506115546,316.93461538461537,37.93076923076923
+gpt-4,6-8 early morning,14.348626694414351,323.5388888888889,40.544444444444444
+gpt-4,9-11 morning,12.759107512468733,338.18333333333334,46.85
+gpt-4-turbo,0-2 midnight,13.770663784850727,382.7613636363636,47.61818181818182
+gpt-4-turbo,12-14 afternoon,13.997754749229976,351.01190476190476,46.03333333333333
+gpt-4-turbo,15-17 late afternoon,22.320911452883767,381.65714285714284,47.35476190476191
+gpt-4-turbo,18-20 evening,16.550320884159632,382.31666666666666,48.45
+gpt-4-turbo,21-23 late evening,14.592236209392548,413.61,44.8
+gpt-4-turbo,3-5 night,14.254795966698573,352.54615384615386,46.37692307692308
+gpt-4-turbo,6-8 early morning,11.555620827939775,357.65555555555557,47.21666666666667
+gpt-4-turbo,9-11 morning,13.686854598257277,381.8888888888889,55.02777777777778
+llama-2-70b-chat,0-2 midnight,3.249819871626402,346.8875,52.06875
+llama-2-70b-chat,12-14 afternoon,4.234376892130426,375.44615384615383,55.238461538461536
+llama-2-70b-chat,15-17 late afternoon,3.6833307104881365,433.6636363636364,59.445454545454545
+llama-2-70b-chat,18-20 evening,2.9706250462084185,317.245,47.4
+llama-2-70b-chat,21-23 late evening,4.719581684340602,572.1689655172414,79.83103448275862
+llama-2-70b-chat,3-5 night,2.8264514451677147,313.71,48.42
+llama-2-70b-chat,6-8 early morning,2.8660141522424265,289.6642857142857,44.614285714285714
+llama-2-70b-chat,9-11 morning,2.872361832027194,283.35,43.45
+zephyr-7b-beta,0-2 midnight,3.7253047794103624,217.82083333333333,33.67916666666667
+zephyr-7b-beta,12-14 afternoon,3.5789777278900146,277.6,44.016666666666666
+zephyr-7b-beta,15-17 late afternoon,3.4592524923459447,248.59,38.9
+zephyr-7b-beta,18-20 evening,3.5673056403795878,273.3666666666667,43.5
+zephyr-7b-beta,21-23 late evening,3.45343524068594,176.23125,27.21875
+zephyr-7b-beta,3-5 night,3.6954557319482166,216.55833333333334,33.46666666666667
+zephyr-7b-beta,6-8 early morning,3.937663261095683,273.03333333333336,43.45
+zephyr-7b-beta,9-11 morning,4.056525647640228,386.3,63.35
diff --git a/data/2024-02-06 09:35:10.194145_time_of_day_comparison.csv b/data/2024-02-06 09:35:10.194145_time_of_day_comparison.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e838925fb444a77542dd29d60275d67dc191f765
--- /dev/null
+++ b/data/2024-02-06 09:35:10.194145_time_of_day_comparison.csv
@@ -0,0 +1,89 @@
+model,time_of_day,execution_time,characters_count,words_count
+Mistral-7B-Instruct-v0.2,afternoon,3.228973722457886,222.0625,32.25
+Mistral-7B-Instruct-v0.2,evening,3.397640073299408,261.18333333333334,40.1
+Mistral-7B-Instruct-v0.2,late afternoon,3.2048643112182615,219.8625,31.8
+Mistral-7B-Instruct-v0.2,late evening,3.389284573495388,175.79375,25.68125
+Mistral-7B-Instruct-v0.2,midnight,1.9149879813194275,37.8,2.95
+Mistral-7B-Instruct-v0.2,morning,3.734026002883911,362.9,58.35
+Mixtral-8x7B-Instruct-v0.1,afternoon,5.362903979589355,369.3192307692308,54.353846153846156
+Mixtral-8x7B-Instruct-v0.1,early morning,4.526968242530536,285.045,41.86
+Mixtral-8x7B-Instruct-v0.1,evening,3.6435119574237023,326.69,48.545
+Mixtral-8x7B-Instruct-v0.1,late afternoon,5.80184749175942,347.9681818181818,47.27272727272727
+Mixtral-8x7B-Instruct-v0.1,late evening,5.62397656769588,395.15714285714284,49.02857142857143
+Mixtral-8x7B-Instruct-v0.1,midnight,4.639010797279158,323.0394736842105,42.69210526315789
+Mixtral-8x7B-Instruct-v0.1,morning,3.9661054956285575,304.82,47.28
+Mixtral-8x7B-Instruct-v0.1,night,4.009439338194697,301.24545454545455,42.21818181818182
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,afternoon,1.8381905496120452,308.795,51.08
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,early morning,2.0273348593711855,372.13,62.53
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,evening,1.7984187936782836,313.99,51.96
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,late afternoon,1.7547113946505954,285.17857142857144,46.9
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,late evening,1.5875422928068372,192.78333333333333,31.261111111111113
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,midnight,1.6341248273849487,210.2,34.2
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,morning,1.9041210174560548,372.05,62.6
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,night,2.0128010153770446,372.05,62.6
+chat-bison,midnight,3.890243631601334,398.075,49.0
+chat-bison (PaLM 2),afternoon,2.6460144804074215,376.28076923076924,55.965384615384615
+chat-bison (PaLM 2),early morning,2.4665334616388592,381.9214285714286,60.892857142857146
+chat-bison (PaLM 2),evening,2.688272579908371,367.07,55.89
+chat-bison (PaLM 2),late afternoon,3.0387172081253744,381.1363636363636,53.35454545454545
+chat-bison (PaLM 2),late evening,2.7250528037548065,382.725,52.95
+chat-bison (PaLM 2),midnight,2.468383938074112,381.95,60.9
+chat-bison (PaLM 2),morning,2.488477897644043,381.73,60.88
+chat-bison (PaLM 2),night,2.460119960308075,381.92,60.94
+chat-bison-32k,midnight,4.128177767992019,389.925,48.025
+chat-bison-32k (PaLM 2 32K),afternoon,5.014458654477046,339.3692307692308,49.323076923076925
+chat-bison-32k (PaLM 2 32K),early morning,9.141417106560299,335.75,53.85
+chat-bison-32k (PaLM 2 32K),evening,7.7332194912433625,329.46,49.5
+chat-bison-32k (PaLM 2 32K),late afternoon,4.5047362284226855,348.65909090909093,48.35454545454545
+chat-bison-32k (PaLM 2 32K),late evening,7.796841062307358,349.95,47.805
+chat-bison-32k (PaLM 2 32K),midnight,7.7498266498247785,335.75,53.85
+chat-bison-32k (PaLM 2 32K),morning,7.7035503840446475,335.75,53.85
+chat-bison-32k (PaLM 2 32K),night,6.491292915344238,335.75,53.85
+gemini-pro,afternoon,2.816922114008949,360.62307692307695,53.25769230769231
+gemini-pro,early morning,2.7453590130460435,381.2214285714286,60.964285714285715
+gemini-pro,evening,2.86901999375759,366.4,55.045
+gemini-pro,late afternoon,2.9268629640903114,364.57272727272726,50.1
+gemini-pro,late evening,3.7189874940246117,390.9142857142857,51.35
+gemini-pro,midnight,3.338477972348531,369.825,55.9125
+gemini-pro,morning,2.497767536007628,371.93,59.39
+gemini-pro,night,2.8375814715210272,374.8,60.04
+gpt-3.5-turbo,afternoon,3.9458200880459375,381.4428571428571,43.76190476190476
+gpt-3.5-turbo,early morning,3.787998208734724,403.74444444444447,47.34444444444444
+gpt-3.5-turbo,evening,3.5153889304115657,385.18095238095236,46.01428571428571
+gpt-3.5-turbo,late afternoon,4.384064777692159,396.4357142857143,43.28333333333333
+gpt-3.5-turbo,late evening,5.110168156187617,422.73510971786834,45.358934169278996
+gpt-3.5-turbo,midnight,3.822115447632102,426.71923076923076,49.05
+gpt-3.5-turbo,morning,3.126271222697364,389.9888888888889,50.93888888888889
+gpt-3.5-turbo,night,6.062970260473398,418.6192307692308,44.926923076923075
+gpt-4,afternoon,16.002364798386893,318.3095238095238,38.77142857142857
+gpt-4,early morning,14.348626694414351,323.5388888888889,40.544444444444444
+gpt-4,evening,13.841120740345547,318.0809523809524,40.19285714285714
+gpt-4,late afternoon,16.80607506932254,313.3595238095238,37.49285714285714
+gpt-4,late evening,14.298642643005493,314.336,37.012
+gpt-4,midnight,12.3578163115329,334.075,41.35
+gpt-4,morning,12.759107512468733,338.18333333333334,46.85
+gpt-4,night,12.813134506115546,316.93461538461537,37.93076923076923
+gpt-4-turbo,afternoon,13.997754749229976,351.01190476190476,46.03333333333333
+gpt-4-turbo,early morning,11.555620827939775,357.65555555555557,47.21666666666667
+gpt-4-turbo,evening,16.550320884159632,382.31666666666666,48.45
+gpt-4-turbo,late afternoon,22.320911452883767,381.65714285714284,47.35476190476191
+gpt-4-turbo,late evening,14.592236209392548,413.61,44.8
+gpt-4-turbo,midnight,13.770663784850727,382.7613636363636,47.61818181818182
+gpt-4-turbo,morning,13.686854598257277,381.8888888888889,55.02777777777778
+gpt-4-turbo,night,14.254795966698573,352.54615384615386,46.37692307692308
+llama-2-70b-chat,afternoon,4.234376892130426,375.44615384615383,55.238461538461536
+llama-2-70b-chat,early morning,2.8660141522424265,289.6642857142857,44.614285714285714
+llama-2-70b-chat,evening,2.9706250462084185,317.245,47.4
+llama-2-70b-chat,late afternoon,3.6833307104881365,433.6636363636364,59.445454545454545
+llama-2-70b-chat,late evening,4.719581684340602,572.1689655172414,79.83103448275862
+llama-2-70b-chat,midnight,3.249819871626402,346.8875,52.06875
+llama-2-70b-chat,morning,2.872361832027194,283.35,43.45
+llama-2-70b-chat,night,2.8264514451677147,313.71,48.42
+zephyr-7b-beta,afternoon,3.5789777278900146,277.6,44.016666666666666
+zephyr-7b-beta,early morning,3.937663261095683,273.03333333333336,43.45
+zephyr-7b-beta,evening,3.5673056403795878,273.3666666666667,43.5
+zephyr-7b-beta,late afternoon,3.4592524923459447,248.59,38.9
+zephyr-7b-beta,late evening,3.45343524068594,176.23125,27.21875
+zephyr-7b-beta,midnight,3.7253047794103624,217.82083333333333,33.67916666666667
+zephyr-7b-beta,morning,4.056525647640228,386.3,63.35
+zephyr-7b-beta,night,3.6954557319482166,216.55833333333334,33.46666666666667
diff --git a/data/2024-02-06 09:42:04.306128_time_of_day_comparison.csv b/data/2024-02-06 09:42:04.306128_time_of_day_comparison.csv
new file mode 100644
index 0000000000000000000000000000000000000000..852b56a901f5d3b63a8b74ebbaf7b321fb14299e
--- /dev/null
+++ b/data/2024-02-06 09:42:04.306128_time_of_day_comparison.csv
@@ -0,0 +1,89 @@
+model,time_of_day,execution_time,characters_count,words_count
+Mistral-7B-Instruct-v0.2,0,1.9149879813194275,37.8,2.95
+Mistral-7B-Instruct-v0.2,3,3.734026002883911,362.9,58.35
+Mistral-7B-Instruct-v0.2,4,3.228973722457886,222.0625,32.25
+Mistral-7B-Instruct-v0.2,5,3.2048643112182615,219.8625,31.8
+Mistral-7B-Instruct-v0.2,6,3.397640073299408,261.18333333333334,40.1
+Mistral-7B-Instruct-v0.2,7,3.389284573495388,175.79375,25.68125
+Mixtral-8x7B-Instruct-v0.1,0,4.639010797279158,323.0394736842105,42.69210526315789
+Mixtral-8x7B-Instruct-v0.1,1,4.009439338194697,301.24545454545455,42.21818181818182
+Mixtral-8x7B-Instruct-v0.1,2,4.526968242530536,285.045,41.86
+Mixtral-8x7B-Instruct-v0.1,3,3.9661054956285575,304.82,47.28
+Mixtral-8x7B-Instruct-v0.1,4,5.362903979589355,369.3192307692308,54.353846153846156
+Mixtral-8x7B-Instruct-v0.1,5,5.80184749175942,347.9681818181818,47.27272727272727
+Mixtral-8x7B-Instruct-v0.1,6,3.6435119574237023,326.69,48.545
+Mixtral-8x7B-Instruct-v0.1,7,5.62397656769588,395.15714285714284,49.02857142857143
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,0,1.6341248273849487,210.2,34.2
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,1,2.0128010153770446,372.05,62.6
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,2,2.0273348593711855,372.13,62.53
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,3,1.9041210174560548,372.05,62.6
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,4,1.8381905496120452,308.795,51.08
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,5,1.7547113946505954,285.17857142857144,46.9
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,6,1.7984187936782836,313.99,51.96
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,7,1.5875422928068372,192.78333333333333,31.261111111111113
+chat-bison,0,3.890243631601334,398.075,49.0
+chat-bison (PaLM 2),0,2.468383938074112,381.95,60.9
+chat-bison (PaLM 2),1,2.460119960308075,381.92,60.94
+chat-bison (PaLM 2),2,2.4665334616388592,381.9214285714286,60.892857142857146
+chat-bison (PaLM 2),3,2.488477897644043,381.73,60.88
+chat-bison (PaLM 2),4,2.6460144804074215,376.28076923076924,55.965384615384615
+chat-bison (PaLM 2),5,3.0387172081253744,381.1363636363636,53.35454545454545
+chat-bison (PaLM 2),6,2.688272579908371,367.07,55.89
+chat-bison (PaLM 2),7,2.7250528037548065,382.725,52.95
+chat-bison-32k,0,4.128177767992019,389.925,48.025
+chat-bison-32k (PaLM 2 32K),0,7.7498266498247785,335.75,53.85
+chat-bison-32k (PaLM 2 32K),1,6.491292915344238,335.75,53.85
+chat-bison-32k (PaLM 2 32K),2,9.141417106560299,335.75,53.85
+chat-bison-32k (PaLM 2 32K),3,7.7035503840446475,335.75,53.85
+chat-bison-32k (PaLM 2 32K),4,5.014458654477046,339.3692307692308,49.323076923076925
+chat-bison-32k (PaLM 2 32K),5,4.5047362284226855,348.65909090909093,48.35454545454545
+chat-bison-32k (PaLM 2 32K),6,7.7332194912433625,329.46,49.5
+chat-bison-32k (PaLM 2 32K),7,7.796841062307358,349.95,47.805
+gemini-pro,0,3.338477972348531,369.825,55.9125
+gemini-pro,1,2.8375814715210272,374.8,60.04
+gemini-pro,2,2.7453590130460435,381.2214285714286,60.964285714285715
+gemini-pro,3,2.497767536007628,371.93,59.39
+gemini-pro,4,2.816922114008949,360.62307692307695,53.25769230769231
+gemini-pro,5,2.9268629640903114,364.57272727272726,50.1
+gemini-pro,6,2.86901999375759,366.4,55.045
+gemini-pro,7,3.7189874940246117,390.9142857142857,51.35
+gpt-3.5-turbo,0,3.822115447632102,426.71923076923076,49.05
+gpt-3.5-turbo,1,6.062970260473398,418.6192307692308,44.926923076923075
+gpt-3.5-turbo,2,3.787998208734724,403.74444444444447,47.34444444444444
+gpt-3.5-turbo,3,3.126271222697364,389.9888888888889,50.93888888888889
+gpt-3.5-turbo,4,3.9458200880459375,381.4428571428571,43.76190476190476
+gpt-3.5-turbo,5,4.384064777692159,396.4357142857143,43.28333333333333
+gpt-3.5-turbo,6,3.5153889304115657,385.18095238095236,46.01428571428571
+gpt-3.5-turbo,7,5.110168156187617,422.73510971786834,45.358934169278996
+gpt-4,0,12.3578163115329,334.075,41.35
+gpt-4,1,12.813134506115546,316.93461538461537,37.93076923076923
+gpt-4,2,14.348626694414351,323.5388888888889,40.544444444444444
+gpt-4,3,12.759107512468733,338.18333333333334,46.85
+gpt-4,4,16.002364798386893,318.3095238095238,38.77142857142857
+gpt-4,5,16.80607506932254,313.3595238095238,37.49285714285714
+gpt-4,6,13.841120740345547,318.0809523809524,40.19285714285714
+gpt-4,7,14.298642643005493,314.336,37.012
+gpt-4-turbo,0,13.770663784850727,382.7613636363636,47.61818181818182
+gpt-4-turbo,1,14.254795966698573,352.54615384615386,46.37692307692308
+gpt-4-turbo,2,11.555620827939775,357.65555555555557,47.21666666666667
+gpt-4-turbo,3,13.686854598257277,381.8888888888889,55.02777777777778
+gpt-4-turbo,4,13.997754749229976,351.01190476190476,46.03333333333333
+gpt-4-turbo,5,22.320911452883767,381.65714285714284,47.35476190476191
+gpt-4-turbo,6,16.550320884159632,382.31666666666666,48.45
+gpt-4-turbo,7,14.592236209392548,413.61,44.8
+llama-2-70b-chat,0,3.249819871626402,346.8875,52.06875
+llama-2-70b-chat,1,2.8264514451677147,313.71,48.42
+llama-2-70b-chat,2,2.8660141522424265,289.6642857142857,44.614285714285714
+llama-2-70b-chat,3,2.872361832027194,283.35,43.45
+llama-2-70b-chat,4,4.234376892130426,375.44615384615383,55.238461538461536
+llama-2-70b-chat,5,3.6833307104881365,433.6636363636364,59.445454545454545
+llama-2-70b-chat,6,2.9706250462084185,317.245,47.4
+llama-2-70b-chat,7,4.719581684340602,572.1689655172414,79.83103448275862
+zephyr-7b-beta,0,3.7253047794103624,217.82083333333333,33.67916666666667
+zephyr-7b-beta,1,3.6954557319482166,216.55833333333334,33.46666666666667
+zephyr-7b-beta,2,3.937663261095683,273.03333333333336,43.45
+zephyr-7b-beta,3,4.056525647640228,386.3,63.35
+zephyr-7b-beta,4,3.5789777278900146,277.6,44.016666666666666
+zephyr-7b-beta,5,3.4592524923459447,248.59,38.9
+zephyr-7b-beta,6,3.5673056403795878,273.3666666666667,43.5
+zephyr-7b-beta,7,3.45343524068594,176.23125,27.21875
diff --git a/data/2024-02-06 09:46:18.795794_time_of_day_comparison.csv b/data/2024-02-06 09:46:18.795794_time_of_day_comparison.csv
new file mode 100644
index 0000000000000000000000000000000000000000..b84c62764a40b48049d275ce1f4b0bd23689e33c
--- /dev/null
+++ b/data/2024-02-06 09:46:18.795794_time_of_day_comparison.csv
@@ -0,0 +1,89 @@
+model,time_of_day,execution_time,characters_count,words_count
+Mistral-7B-Instruct-v0.2,midnight,1.9149879813194275,37.8,2.95
+Mistral-7B-Instruct-v0.2,morning,3.734026002883911,362.9,58.35
+Mistral-7B-Instruct-v0.2,afternoon,3.228973722457886,222.0625,32.25
+Mistral-7B-Instruct-v0.2,late afternoon,3.2048643112182615,219.8625,31.8
+Mistral-7B-Instruct-v0.2,evening,3.397640073299408,261.18333333333334,40.1
+Mistral-7B-Instruct-v0.2,late evening,3.389284573495388,175.79375,25.68125
+Mixtral-8x7B-Instruct-v0.1,midnight,4.639010797279158,323.0394736842105,42.69210526315789
+Mixtral-8x7B-Instruct-v0.1,night,4.009439338194697,301.24545454545455,42.21818181818182
+Mixtral-8x7B-Instruct-v0.1,early morning,4.526968242530536,285.045,41.86
+Mixtral-8x7B-Instruct-v0.1,morning,3.9661054956285575,304.82,47.28
+Mixtral-8x7B-Instruct-v0.1,afternoon,5.362903979589355,369.3192307692308,54.353846153846156
+Mixtral-8x7B-Instruct-v0.1,late afternoon,5.80184749175942,347.9681818181818,47.27272727272727
+Mixtral-8x7B-Instruct-v0.1,evening,3.6435119574237023,326.69,48.545
+Mixtral-8x7B-Instruct-v0.1,late evening,5.62397656769588,395.15714285714284,49.02857142857143
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,midnight,1.6341248273849487,210.2,34.2
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,night,2.0128010153770446,372.05,62.6
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,early morning,2.0273348593711855,372.13,62.53
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,morning,1.9041210174560548,372.05,62.6
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,afternoon,1.8381905496120452,308.795,51.08
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,late afternoon,1.7547113946505954,285.17857142857144,46.9
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,evening,1.7984187936782836,313.99,51.96
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,late evening,1.5875422928068372,192.78333333333333,31.261111111111113
+chat-bison,midnight,3.890243631601334,398.075,49.0
+chat-bison (PaLM 2),midnight,2.468383938074112,381.95,60.9
+chat-bison (PaLM 2),night,2.460119960308075,381.92,60.94
+chat-bison (PaLM 2),early morning,2.4665334616388592,381.9214285714286,60.892857142857146
+chat-bison (PaLM 2),morning,2.488477897644043,381.73,60.88
+chat-bison (PaLM 2),afternoon,2.6460144804074215,376.28076923076924,55.965384615384615
+chat-bison (PaLM 2),late afternoon,3.0387172081253744,381.1363636363636,53.35454545454545
+chat-bison (PaLM 2),evening,2.688272579908371,367.07,55.89
+chat-bison (PaLM 2),late evening,2.7250528037548065,382.725,52.95
+chat-bison-32k,midnight,4.128177767992019,389.925,48.025
+chat-bison-32k (PaLM 2 32K),midnight,7.7498266498247785,335.75,53.85
+chat-bison-32k (PaLM 2 32K),night,6.491292915344238,335.75,53.85
+chat-bison-32k (PaLM 2 32K),early morning,9.141417106560299,335.75,53.85
+chat-bison-32k (PaLM 2 32K),morning,7.7035503840446475,335.75,53.85
+chat-bison-32k (PaLM 2 32K),afternoon,5.014458654477046,339.3692307692308,49.323076923076925
+chat-bison-32k (PaLM 2 32K),late afternoon,4.5047362284226855,348.65909090909093,48.35454545454545
+chat-bison-32k (PaLM 2 32K),evening,7.7332194912433625,329.46,49.5
+chat-bison-32k (PaLM 2 32K),late evening,7.796841062307358,349.95,47.805
+gemini-pro,midnight,3.338477972348531,369.825,55.9125
+gemini-pro,night,2.8375814715210272,374.8,60.04
+gemini-pro,early morning,2.7453590130460435,381.2214285714286,60.964285714285715
+gemini-pro,morning,2.497767536007628,371.93,59.39
+gemini-pro,afternoon,2.816922114008949,360.62307692307695,53.25769230769231
+gemini-pro,late afternoon,2.9268629640903114,364.57272727272726,50.1
+gemini-pro,evening,2.86901999375759,366.4,55.045
+gemini-pro,late evening,3.7189874940246117,390.9142857142857,51.35
+gpt-3.5-turbo,midnight,3.822115447632102,426.71923076923076,49.05
+gpt-3.5-turbo,night,6.062970260473398,418.6192307692308,44.926923076923075
+gpt-3.5-turbo,early morning,3.787998208734724,403.74444444444447,47.34444444444444
+gpt-3.5-turbo,morning,3.126271222697364,389.9888888888889,50.93888888888889
+gpt-3.5-turbo,afternoon,3.9458200880459375,381.4428571428571,43.76190476190476
+gpt-3.5-turbo,late afternoon,4.384064777692159,396.4357142857143,43.28333333333333
+gpt-3.5-turbo,evening,3.5153889304115657,385.18095238095236,46.01428571428571
+gpt-3.5-turbo,late evening,5.110168156187617,422.73510971786834,45.358934169278996
+gpt-4,midnight,12.3578163115329,334.075,41.35
+gpt-4,night,12.813134506115546,316.93461538461537,37.93076923076923
+gpt-4,early morning,14.348626694414351,323.5388888888889,40.544444444444444
+gpt-4,morning,12.759107512468733,338.18333333333334,46.85
+gpt-4,afternoon,16.002364798386893,318.3095238095238,38.77142857142857
+gpt-4,late afternoon,16.80607506932254,313.3595238095238,37.49285714285714
+gpt-4,evening,13.841120740345547,318.0809523809524,40.19285714285714
+gpt-4,late evening,14.298642643005493,314.336,37.012
+gpt-4-turbo,midnight,13.770663784850727,382.7613636363636,47.61818181818182
+gpt-4-turbo,night,14.254795966698573,352.54615384615386,46.37692307692308
+gpt-4-turbo,early morning,11.555620827939775,357.65555555555557,47.21666666666667
+gpt-4-turbo,morning,13.686854598257277,381.8888888888889,55.02777777777778
+gpt-4-turbo,afternoon,13.997754749229976,351.01190476190476,46.03333333333333
+gpt-4-turbo,late afternoon,22.320911452883767,381.65714285714284,47.35476190476191
+gpt-4-turbo,evening,16.550320884159632,382.31666666666666,48.45
+gpt-4-turbo,late evening,14.592236209392548,413.61,44.8
+llama-2-70b-chat,midnight,3.249819871626402,346.8875,52.06875
+llama-2-70b-chat,night,2.8264514451677147,313.71,48.42
+llama-2-70b-chat,early morning,2.8660141522424265,289.6642857142857,44.614285714285714
+llama-2-70b-chat,morning,2.872361832027194,283.35,43.45
+llama-2-70b-chat,afternoon,4.234376892130426,375.44615384615383,55.238461538461536
+llama-2-70b-chat,late afternoon,3.6833307104881365,433.6636363636364,59.445454545454545
+llama-2-70b-chat,evening,2.9706250462084185,317.245,47.4
+llama-2-70b-chat,late evening,4.719581684340602,572.1689655172414,79.83103448275862
+zephyr-7b-beta,midnight,3.7253047794103624,217.82083333333333,33.67916666666667
+zephyr-7b-beta,night,3.6954557319482166,216.55833333333334,33.46666666666667
+zephyr-7b-beta,early morning,3.937663261095683,273.03333333333336,43.45
+zephyr-7b-beta,morning,4.056525647640228,386.3,63.35
+zephyr-7b-beta,afternoon,3.5789777278900146,277.6,44.016666666666666
+zephyr-7b-beta,late afternoon,3.4592524923459447,248.59,38.9
+zephyr-7b-beta,evening,3.5673056403795878,273.3666666666667,43.5
+zephyr-7b-beta,late evening,3.45343524068594,176.23125,27.21875
diff --git a/data/2024-02-06 09:49:19.637072_time_of_day_comparison.csv b/data/2024-02-06 09:49:19.637072_time_of_day_comparison.csv
new file mode 100644
index 0000000000000000000000000000000000000000..dff5a9f8560554f3431477e9b8550a8bd6a9e0a5
--- /dev/null
+++ b/data/2024-02-06 09:49:19.637072_time_of_day_comparison.csv
@@ -0,0 +1,89 @@
+model,time_of_day,execution_time,characters_count,words_count
+Mistral-7B-Instruct-v0.2,morning,3.734026002883911,362.9,58.35
+Mistral-7B-Instruct-v0.2,afternoon,3.228973722457886,222.0625,32.25
+Mistral-7B-Instruct-v0.2,late afternoon,3.2048643112182615,219.8625,31.8
+Mistral-7B-Instruct-v0.2,evening,3.397640073299408,261.18333333333334,40.1
+Mistral-7B-Instruct-v0.2,late evening,3.389284573495388,175.79375,25.68125
+Mistral-7B-Instruct-v0.2,midnight,1.9149879813194275,37.8,2.95
+Mixtral-8x7B-Instruct-v0.1,early morning,4.526968242530536,285.045,41.86
+Mixtral-8x7B-Instruct-v0.1,morning,3.9661054956285575,304.82,47.28
+Mixtral-8x7B-Instruct-v0.1,afternoon,5.362903979589355,369.3192307692308,54.353846153846156
+Mixtral-8x7B-Instruct-v0.1,late afternoon,5.80184749175942,347.9681818181818,47.27272727272727
+Mixtral-8x7B-Instruct-v0.1,evening,3.6435119574237023,326.69,48.545
+Mixtral-8x7B-Instruct-v0.1,late evening,5.62397656769588,395.15714285714284,49.02857142857143
+Mixtral-8x7B-Instruct-v0.1,midnight,4.639010797279158,323.0394736842105,42.69210526315789
+Mixtral-8x7B-Instruct-v0.1,night,4.009439338194697,301.24545454545455,42.21818181818182
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,early morning,2.0273348593711855,372.13,62.53
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,morning,1.9041210174560548,372.05,62.6
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,afternoon,1.8381905496120452,308.795,51.08
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,late afternoon,1.7547113946505954,285.17857142857144,46.9
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,evening,1.7984187936782836,313.99,51.96
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,late evening,1.5875422928068372,192.78333333333333,31.261111111111113
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,midnight,1.6341248273849487,210.2,34.2
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,night,2.0128010153770446,372.05,62.6
+chat-bison,midnight,3.890243631601334,398.075,49.0
+chat-bison (PaLM 2),early morning,2.4665334616388592,381.9214285714286,60.892857142857146
+chat-bison (PaLM 2),morning,2.488477897644043,381.73,60.88
+chat-bison (PaLM 2),afternoon,2.6460144804074215,376.28076923076924,55.965384615384615
+chat-bison (PaLM 2),late afternoon,3.0387172081253744,381.1363636363636,53.35454545454545
+chat-bison (PaLM 2),evening,2.688272579908371,367.07,55.89
+chat-bison (PaLM 2),late evening,2.7250528037548065,382.725,52.95
+chat-bison (PaLM 2),midnight,2.468383938074112,381.95,60.9
+chat-bison (PaLM 2),night,2.460119960308075,381.92,60.94
+chat-bison-32k,midnight,4.128177767992019,389.925,48.025
+chat-bison-32k (PaLM 2 32K),early morning,9.141417106560299,335.75,53.85
+chat-bison-32k (PaLM 2 32K),morning,7.7035503840446475,335.75,53.85
+chat-bison-32k (PaLM 2 32K),afternoon,5.014458654477046,339.3692307692308,49.323076923076925
+chat-bison-32k (PaLM 2 32K),late afternoon,4.5047362284226855,348.65909090909093,48.35454545454545
+chat-bison-32k (PaLM 2 32K),evening,7.7332194912433625,329.46,49.5
+chat-bison-32k (PaLM 2 32K),late evening,7.796841062307358,349.95,47.805
+chat-bison-32k (PaLM 2 32K),midnight,7.7498266498247785,335.75,53.85
+chat-bison-32k (PaLM 2 32K),night,6.491292915344238,335.75,53.85
+gemini-pro,early morning,2.7453590130460435,381.2214285714286,60.964285714285715
+gemini-pro,morning,2.497767536007628,371.93,59.39
+gemini-pro,afternoon,2.816922114008949,360.62307692307695,53.25769230769231
+gemini-pro,late afternoon,2.9268629640903114,364.57272727272726,50.1
+gemini-pro,evening,2.86901999375759,366.4,55.045
+gemini-pro,late evening,3.7189874940246117,390.9142857142857,51.35
+gemini-pro,midnight,3.338477972348531,369.825,55.9125
+gemini-pro,night,2.8375814715210272,374.8,60.04
+gpt-3.5-turbo,early morning,3.787998208734724,403.74444444444447,47.34444444444444
+gpt-3.5-turbo,morning,3.126271222697364,389.9888888888889,50.93888888888889
+gpt-3.5-turbo,afternoon,3.9458200880459375,381.4428571428571,43.76190476190476
+gpt-3.5-turbo,late afternoon,4.384064777692159,396.4357142857143,43.28333333333333
+gpt-3.5-turbo,evening,3.5153889304115657,385.18095238095236,46.01428571428571
+gpt-3.5-turbo,late evening,5.110168156187617,422.73510971786834,45.358934169278996
+gpt-3.5-turbo,midnight,3.822115447632102,426.71923076923076,49.05
+gpt-3.5-turbo,night,6.062970260473398,418.6192307692308,44.926923076923075
+gpt-4,early morning,14.348626694414351,323.5388888888889,40.544444444444444
+gpt-4,morning,12.759107512468733,338.18333333333334,46.85
+gpt-4,afternoon,16.002364798386893,318.3095238095238,38.77142857142857
+gpt-4,late afternoon,16.80607506932254,313.3595238095238,37.49285714285714
+gpt-4,evening,13.841120740345547,318.0809523809524,40.19285714285714
+gpt-4,late evening,14.298642643005493,314.336,37.012
+gpt-4,midnight,12.3578163115329,334.075,41.35
+gpt-4,night,12.813134506115546,316.93461538461537,37.93076923076923
+gpt-4-turbo,early morning,11.555620827939775,357.65555555555557,47.21666666666667
+gpt-4-turbo,morning,13.686854598257277,381.8888888888889,55.02777777777778
+gpt-4-turbo,afternoon,13.997754749229976,351.01190476190476,46.03333333333333
+gpt-4-turbo,late afternoon,22.320911452883767,381.65714285714284,47.35476190476191
+gpt-4-turbo,evening,16.550320884159632,382.31666666666666,48.45
+gpt-4-turbo,late evening,14.592236209392548,413.61,44.8
+gpt-4-turbo,midnight,13.770663784850727,382.7613636363636,47.61818181818182
+gpt-4-turbo,night,14.254795966698573,352.54615384615386,46.37692307692308
+llama-2-70b-chat,early morning,2.8660141522424265,289.6642857142857,44.614285714285714
+llama-2-70b-chat,morning,2.872361832027194,283.35,43.45
+llama-2-70b-chat,afternoon,4.234376892130426,375.44615384615383,55.238461538461536
+llama-2-70b-chat,late afternoon,3.6833307104881365,433.6636363636364,59.445454545454545
+llama-2-70b-chat,evening,2.9706250462084185,317.245,47.4
+llama-2-70b-chat,late evening,4.719581684340602,572.1689655172414,79.83103448275862
+llama-2-70b-chat,midnight,3.249819871626402,346.8875,52.06875
+llama-2-70b-chat,night,2.8264514451677147,313.71,48.42
+zephyr-7b-beta,early morning,3.937663261095683,273.03333333333336,43.45
+zephyr-7b-beta,morning,4.056525647640228,386.3,63.35
+zephyr-7b-beta,afternoon,3.5789777278900146,277.6,44.016666666666666
+zephyr-7b-beta,late afternoon,3.4592524923459447,248.59,38.9
+zephyr-7b-beta,evening,3.5673056403795878,273.3666666666667,43.5
+zephyr-7b-beta,late evening,3.45343524068594,176.23125,27.21875
+zephyr-7b-beta,midnight,3.7253047794103624,217.82083333333333,33.67916666666667
+zephyr-7b-beta,night,3.6954557319482166,216.55833333333334,33.46666666666667
diff --git a/data/2024-02-06 13:25:55.133644_general_plot.csv b/data/2024-02-06 13:25:55.133644_general_plot.csv
new file mode 100644
index 0000000000000000000000000000000000000000..637cefcfac1931a2e5a4f86ae321f0248d50bd95
--- /dev/null
+++ b/data/2024-02-06 13:25:55.133644_general_plot.csv
@@ -0,0 +1,284 @@
+path,plot_object,header,description,plot_json
+./html/plots/response_times.html,"Figure({
+ 'data': [{'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'Mistral-7B-Instruct-v0.2',
+ 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
+ 'name': 'Mistral-7B-Instruct-v0.2',
+ 'offsetgroup': 'Mistral-7B-Instruct-v0.2',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['Mistral-7B-Instruct-v0.2'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([3.27102681]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'Mixtral-8x7B-Instruct-v0.1',
+ 'marker': {'color': '#EF553B', 'pattern': {'shape': ''}},
+ 'name': 'Mixtral-8x7B-Instruct-v0.1',
+ 'offsetgroup': 'Mixtral-8x7B-Instruct-v0.1',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['Mixtral-8x7B-Instruct-v0.1'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([4.83500647]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
+ 'marker': {'color': '#00cc96', 'pattern': {'shape': ''}},
+ 'name': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
+ 'offsetgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['TinyLlama/TinyLlama-1.1B-Chat-v1.0'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([1.79273835]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'chat-bison',
+ 'marker': {'color': '#ab63fa', 'pattern': {'shape': ''}},
+ 'name': 'chat-bison',
+ 'offsetgroup': 'chat-bison',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['chat-bison'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([3.89024363]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'chat-bison (PaLM 2)',
+ 'marker': {'color': '#FFA15A', 'pattern': {'shape': ''}},
+ 'name': 'chat-bison (PaLM 2)',
+ 'offsetgroup': 'chat-bison (PaLM 2)',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['chat-bison (PaLM 2)'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([2.66830386]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'chat-bison-32k',
+ 'marker': {'color': '#19d3f3', 'pattern': {'shape': ''}},
+ 'name': 'chat-bison-32k',
+ 'offsetgroup': 'chat-bison-32k',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['chat-bison-32k'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([4.12817777]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'chat-bison-32k (PaLM 2 32K)',
+ 'marker': {'color': '#FF6692', 'pattern': {'shape': ''}},
+ 'name': 'chat-bison-32k (PaLM 2 32K)',
+ 'offsetgroup': 'chat-bison-32k (PaLM 2 32K)',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['chat-bison-32k (PaLM 2 32K)'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([6.73886213]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'gemini-pro',
+ 'marker': {'color': '#B6E880', 'pattern': {'shape': ''}},
+ 'name': 'gemini-pro',
+ 'offsetgroup': 'gemini-pro',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['gemini-pro'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([3.03678889]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'gpt-3.5-turbo',
+ 'marker': {'color': '#FF97FF', 'pattern': {'shape': ''}},
+ 'name': 'gpt-3.5-turbo',
+ 'offsetgroup': 'gpt-3.5-turbo',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['gpt-3.5-turbo'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([4.29307391]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'gpt-4',
+ 'marker': {'color': '#FECB52', 'pattern': {'shape': ''}},
+ 'name': 'gpt-4',
+ 'offsetgroup': 'gpt-4',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['gpt-4'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([14.32373439]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'gpt-4-turbo',
+ 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
+ 'name': 'gpt-4-turbo',
+ 'offsetgroup': 'gpt-4-turbo',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['gpt-4-turbo'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([15.5354884]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'llama-2-70b-chat',
+ 'marker': {'color': '#EF553B', 'pattern': {'shape': ''}},
+ 'name': 'llama-2-70b-chat',
+ 'offsetgroup': 'llama-2-70b-chat',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['llama-2-70b-chat'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([3.6742315]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'zephyr-7b-beta',
+ 'marker': {'color': '#00cc96', 'pattern': {'shape': ''}},
+ 'name': 'zephyr-7b-beta',
+ 'offsetgroup': 'zephyr-7b-beta',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['zephyr-7b-beta'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([3.6370095]),
+ 'yaxis': 'y'}],
+ 'layout': {'barmode': 'relative',
+ 'legend': {'title': {'text': 'Model'}, 'tracegroupgap': 0},
+ 'template': '...',
+ 'title': {'text': 'Model endpoints response times'},
+ 'xaxis': {'anchor': 'y',
+ 'categoryarray': [Mistral-7B-Instruct-v0.2,
+ Mixtral-8x7B-Instruct-v0.1,
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,
+ chat-bison, chat-bison (PaLM 2), chat-
+ bison-32k, chat-bison-32k (PaLM 2 32K),
+ gemini-pro, gpt-3.5-turbo, gpt-4,
+ gpt-4-turbo, llama-2-70b-chat,
+ zephyr-7b-beta],
+ 'categoryorder': 'array',
+ 'domain': [0.0, 1.0],
+ 'title': {'text': 'Model'}},
+ 'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'Execution time (s)'}}}
+})",Model endpoints response times,"This plot shows averaged response time for one query for each model.
+
+We used `time.time()` result saved to variable before making the call to API and compared it to `time.time()` result after receiving the results.
+
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+Note that pause and resume time cost was not included in the cost calculation for the models billed hourly.
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diff --git a/data/2024-02-06 13:51:35.085414_general_plot.csv b/data/2024-02-06 13:51:35.085414_general_plot.csv
new file mode 100644
index 0000000000000000000000000000000000000000..3e75d17c7ec5564edaede697798238082cbdcf8f
--- /dev/null
+++ b/data/2024-02-06 13:51:35.085414_general_plot.csv
@@ -0,0 +1,284 @@
+path,plot_object,header,description,plot_json
+./html/plots/response_times.html,"Figure({
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+ 'yaxis': 'y'}],
+ 'layout': {'barmode': 'relative',
+ 'legend': {'title': {'text': 'Model'}, 'tracegroupgap': 0},
+ 'template': '...',
+ 'title': {'text': 'Model endpoints response times'},
+ 'xaxis': {'anchor': 'y',
+ 'categoryarray': [Mistral-7B-Instruct-v0.2,
+ Mixtral-8x7B-Instruct-v0.1,
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,
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+ bison-32k, chat-bison-32k (PaLM 2 32K),
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+ gpt-4-turbo, llama-2-70b-chat,
+ zephyr-7b-beta],
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+ 'domain': [0.0, 1.0],
+ 'title': {'text': 'Model'}},
+ 'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'Execution time (s)'}}}
+})",Model endpoints response times,"This plot shows averaged response time for one query for each model.
+
+We used `time.time()` result saved to variable before making the call to API and compared it to `time.time()` result after receiving the results.
+
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+
+Note that pause and resume time cost was not included in the cost calculation for the models billed hourly.
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diff --git a/data/2024-02-06 15:35:24.490454_general_plot.csv b/data/2024-02-06 15:35:24.490454_general_plot.csv
new file mode 100644
index 0000000000000000000000000000000000000000..ff71d1033b44cae36b53df3884d1ab15caa45503
--- /dev/null
+++ b/data/2024-02-06 15:35:24.490454_general_plot.csv
@@ -0,0 +1,452 @@
+path,plot_object,header,description,plot_json
+./html/plots/response_times.html,"Figure({
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+ 'hovertemplate': 'Model=%{x}
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+ 'textposition': 'auto',
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+ 'x': array(['chat-bison'], dtype=object),
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+ 'legendgroup': 'gemini-pro',
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+ 'legendgroup': 'zephyr-7b-beta',
+ 'marker': {'color': '#00cc96', 'pattern': {'shape': ''}},
+ 'name': 'zephyr-7b-beta',
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+ 'xaxis': 'x',
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+ 'yaxis': 'y'}],
+ 'layout': {'barmode': 'relative',
+ 'legend': {'title': {'text': 'Model'}, 'tracegroupgap': 0},
+ 'template': '...',
+ 'title': {'text': 'Model endpoints response times'},
+ 'xaxis': {'anchor': 'y',
+ 'categoryarray': [Mistral-7B-Instruct-v0.2,
+ Mixtral-8x7B-Instruct-v0.1,
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,
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+ bison-32k, chat-bison-32k (PaLM 2 32K),
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+ gpt-4-turbo, llama-2-70b-chat,
+ zephyr-7b-beta],
+ 'categoryorder': 'array',
+ 'domain': [0.0, 1.0],
+ 'title': {'text': 'Model'}},
+ 'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'Execution time (s)'}}}
+})",Model endpoints response times,"This plot shows averaged response time for one query for each model.
+
+We used `time.time()` result saved to variable before making the call to API and compared it to `time.time()` result after receiving the results.
+
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+ 'legendgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
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+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['TinyLlama/TinyLlama-1.1B-Chat-v1.0'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([1.1]),
+ 'yaxis': 'y'}],
+ 'layout': {'barmode': 'relative',
+ 'legend': {'title': {'text': 'Model'}, 'tracegroupgap': 0},
+ 'template': '...',
+ 'title': {'text': 'Model sizes in billions of parameters'},
+ 'xaxis': {'anchor': 'y', 'domain': [0.0, 1.0], 'title': {'text': 'Model'}},
+ 'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'Model size (B params)'}}}
+})",Model sizes in billions of parameters,"Model sizes based on release blogs and documentation of their respective developers.
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diff --git a/data/2024-02-07 11:34:10.200271_general_plot.csv b/data/2024-02-07 11:34:10.200271_general_plot.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c9f070c540fe0b17dbcc5fb7f73ae12010cba552
--- /dev/null
+++ b/data/2024-02-07 11:34:10.200271_general_plot.csv
@@ -0,0 +1,603 @@
+plot_object,header,plot_json
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+ 'orientation': 'v',
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+ 'type': 'bar',
+ 'x': array(['morning', 'afternoon', 'late afternoon', 'evening', 'late evening',
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diff --git a/data/2024-02-07 17:26:58.596648_time_of_day_plots.csv b/data/2024-02-07 17:26:58.596648_time_of_day_plots.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c9f070c540fe0b17dbcc5fb7f73ae12010cba552
--- /dev/null
+++ b/data/2024-02-07 17:26:58.596648_time_of_day_plots.csv
@@ -0,0 +1,603 @@
+plot_object,header,plot_json
+"Figure({
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+ 'legendgroup': 'Mistral-7B-Instruct-v0.2',
+ 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
+ 'name': 'Mistral-7B-Instruct-v0.2',
+ 'offsetgroup': 'Mistral-7B-Instruct-v0.2',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['morning', 'afternoon', 'late afternoon', 'evening', 'late evening',
+ 'midnight'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([3.734026 , 3.22897372, 3.20486431, 3.39764007, 3.38928457, 1.91498798]),
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+ 'name': 'Mixtral-8x7B-Instruct-v0.1',
+ 'offsetgroup': 'Mixtral-8x7B-Instruct-v0.1',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
+ 'late evening', 'midnight', 'night'], dtype=object),
+ 'xaxis': 'x',
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+ {'alignmentgroup': 'True',
+ 'hovertemplate': ('Model=TinyLlama/TinyLlama-1.1B' ... 'n Time (s)=%{y}'),
+ 'legendgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
+ 'marker': {'color': '#00cc96', 'pattern': {'shape': ''}},
+ 'name': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
+ 'offsetgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
+ 'orientation': 'v',
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+ 'textposition': 'auto',
+ 'type': 'bar',
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+ 'hovertemplate': 'Model=chat-bison
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+ 'legendgroup': 'chat-bison',
+ 'marker': {'color': '#ab63fa', 'pattern': {'shape': ''}},
+ 'name': 'chat-bison',
+ 'offsetgroup': 'chat-bison',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['midnight'], dtype=object),
+ 'xaxis': 'x',
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+ 'legendgroup': 'chat-bison (PaLM 2)',
+ 'marker': {'color': '#FFA15A', 'pattern': {'shape': ''}},
+ 'name': 'chat-bison (PaLM 2)',
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+ 'orientation': 'v',
+ 'showlegend': True,
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+ 'hovertemplate': ('Model=chat-bison-32k
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+ 'legendgroup': 'chat-bison-32k',
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+ 'name': 'chat-bison-32k',
+ 'offsetgroup': 'chat-bison-32k',
+ 'orientation': 'v',
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+ 'textposition': 'auto',
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+ 'x': array(['midnight'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([4.12817777]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': ('Model=chat-bison-32k (PaLM 2 3' ... 'n Time (s)=%{y}'),
+ 'legendgroup': 'chat-bison-32k (PaLM 2 32K)',
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+ 'hovertemplate': ('Model=gpt-3.5-turbo
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+ 'legendgroup': 'gpt-3.5-turbo',
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+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
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+ 'name': 'gpt-4',
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+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
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+ 'hovertemplate': 'Model=gpt-4-turbo
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+ 'legendgroup': 'gpt-4-turbo',
+ 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
+ 'name': 'gpt-4-turbo',
+ 'offsetgroup': 'gpt-4-turbo',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
+ 'late evening', 'midnight', 'night'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([11.55562083, 13.6868546 , 13.99775475, 22.32091145, 16.55032088,
+ 14.59223621, 13.77066378, 14.25479597]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': ('Model=llama-2-70b-chat
Time' ... 'n Time (s)=%{y}'),
+ 'legendgroup': 'llama-2-70b-chat',
+ 'marker': {'color': '#EF553B', 'pattern': {'shape': ''}},
+ 'name': 'llama-2-70b-chat',
+ 'offsetgroup': 'llama-2-70b-chat',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
+ 'late evening', 'midnight', 'night'], dtype=object),
+ 'xaxis': 'x',
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+ 'hovertemplate': ('Model=zephyr-7b-beta
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+ 'legendgroup': 'zephyr-7b-beta',
+ 'marker': {'color': '#00cc96', 'pattern': {'shape': ''}},
+ 'name': 'zephyr-7b-beta',
+ 'offsetgroup': 'zephyr-7b-beta',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
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+ 'layout': {'barmode': 'group',
+ 'legend': {'title': {'text': 'Model'}, 'tracegroupgap': 0},
+ 'template': '...',
+ 'title': {'text': 'Execution time for different times of the day'},
+ 'xaxis': {'anchor': 'y',
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+ 'categoryorder': 'array',
+ 'domain': [0.0, 1.0],
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of day""},""categoryorder"":""array"",""categoryarray"":[""early morning"",""morning"",""afternoon"",""late afternoon"",""evening"",""late evening"",""midnight"",""night""]},""yaxis"":{""anchor"":""x"",""domain"":[0.0,1.0],""title"":{""text"":""Execution Time (s)""}},""legend"":{""tracegroupgap"":0},""title"":{""text"":""Execution time for different times of the day for model zephyr-7b-beta""},""barmode"":""relative""}}"
diff --git a/data/2024-02-08 14:18:16.852773_time_of_day_comparison.csv b/data/2024-02-08 14:18:16.852773_time_of_day_comparison.csv
new file mode 100644
index 0000000000000000000000000000000000000000..b6cbe6f05c06fe1e841931962a75943878678a8c
--- /dev/null
+++ b/data/2024-02-08 14:18:16.852773_time_of_day_comparison.csv
@@ -0,0 +1,87 @@
+model,time_of_day,execution_time,characters_count,words_count,provider
+Mistral-7B-Instruct-v0.2,morning,3.734026002883911,362.9,58.35,Hugging Face Inference Endpoint
+Mistral-7B-Instruct-v0.2,afternoon,3.228973722457886,222.0625,32.25,Hugging Face Inference Endpoint
+Mistral-7B-Instruct-v0.2,late afternoon,3.2048643112182615,219.8625,31.8,Hugging Face Inference Endpoint
+Mistral-7B-Instruct-v0.2,evening,3.397640073299408,261.18333333333334,40.1,Hugging Face Inference Endpoint
+Mistral-7B-Instruct-v0.2,late evening,3.389284573495388,175.79375,25.68125,Hugging Face Inference Endpoint
+Mistral-7B-Instruct-v0.2,midnight,1.9149879813194275,37.8,2.95,Hugging Face Inference Endpoint
+Mixtral-8x7B-Instruct-v0.1,early morning,4.526968242530536,285.045,41.86,Together AI
+Mixtral-8x7B-Instruct-v0.1,morning,3.9661054956285575,304.82,47.28,Together AI
+Mixtral-8x7B-Instruct-v0.1,afternoon,5.362903979589355,369.3192307692308,54.353846153846156,Together AI
+Mixtral-8x7B-Instruct-v0.1,late afternoon,5.80184749175942,347.9681818181818,47.27272727272727,Together AI
+Mixtral-8x7B-Instruct-v0.1,evening,3.6435119574237023,326.69,48.545,Together AI
+Mixtral-8x7B-Instruct-v0.1,late evening,5.62397656769588,395.15714285714284,49.02857142857143,Together AI
+Mixtral-8x7B-Instruct-v0.1,midnight,4.639010797279158,323.0394736842105,42.69210526315789,Together AI
+Mixtral-8x7B-Instruct-v0.1,night,4.009439338194697,301.24545454545455,42.21818181818182,Together AI
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,early morning,2.0273348593711855,372.13,62.53,Hugging Face Inference Endpoint
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,morning,1.9041210174560548,372.05,62.6,Hugging Face Inference Endpoint
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,afternoon,1.8381905496120452,308.795,51.08,Hugging Face Inference Endpoint
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,late afternoon,1.7547113946505954,285.17857142857144,46.9,Hugging Face Inference Endpoint
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,evening,1.7984187936782836,313.99,51.96,Hugging Face Inference Endpoint
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,late evening,1.5875422928068372,192.78333333333333,31.261111111111113,Hugging Face Inference Endpoint
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,midnight,1.6341248273849487,210.2,34.2,Hugging Face Inference Endpoint
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,night,2.0128010153770446,372.05,62.6,Hugging Face Inference Endpoint
+chat-bison (PaLM 2),early morning,2.4665334616388592,381.9214285714286,60.892857142857146,Google VertexAI
+chat-bison (PaLM 2),morning,2.488477897644043,381.73,60.88,Google VertexAI
+chat-bison (PaLM 2),afternoon,2.6460144804074215,376.28076923076924,55.965384615384615,Google VertexAI
+chat-bison (PaLM 2),late afternoon,3.0387172081253744,381.1363636363636,53.35454545454545,Google VertexAI
+chat-bison (PaLM 2),evening,2.688272579908371,367.07,55.89,Google VertexAI
+chat-bison (PaLM 2),late evening,2.7250528037548065,382.725,52.95,Google VertexAI
+chat-bison (PaLM 2),midnight,2.468383938074112,381.95,60.9,Google VertexAI
+chat-bison (PaLM 2),night,2.460119960308075,381.92,60.94,Google VertexAI
+chat-bison-32k (PaLM 2 32K),early morning,9.141417106560299,335.75,53.85,Google VertexAI
+chat-bison-32k (PaLM 2 32K),morning,7.7035503840446475,335.75,53.85,Google VertexAI
+chat-bison-32k (PaLM 2 32K),afternoon,5.014458654477046,339.3692307692308,49.323076923076925,Google VertexAI
+chat-bison-32k (PaLM 2 32K),late afternoon,4.5047362284226855,348.65909090909093,48.35454545454545,Google VertexAI
+chat-bison-32k (PaLM 2 32K),evening,7.7332194912433625,329.46,49.5,Google VertexAI
+chat-bison-32k (PaLM 2 32K),late evening,7.796841062307358,349.95,47.805,Google VertexAI
+chat-bison-32k (PaLM 2 32K),midnight,7.7498266498247785,335.75,53.85,Google VertexAI
+chat-bison-32k (PaLM 2 32K),night,6.491292915344238,335.75,53.85,Google VertexAI
+gemini-pro,early morning,2.7453590130460435,381.2214285714286,60.964285714285715,Google VertexAI
+gemini-pro,morning,2.497767536007628,371.93,59.39,Google VertexAI
+gemini-pro,afternoon,2.816922114008949,360.62307692307695,53.25769230769231,Google VertexAI
+gemini-pro,late afternoon,2.9268629640903114,364.57272727272726,50.1,Google VertexAI
+gemini-pro,evening,2.86901999375759,366.4,55.045,Google VertexAI
+gemini-pro,late evening,3.7189874940246117,390.9142857142857,51.35,Google VertexAI
+gemini-pro,midnight,3.338477972348531,369.825,55.9125,Google VertexAI
+gemini-pro,night,2.8375814715210272,374.8,60.04,Google VertexAI
+gpt-3.5-turbo,early morning,3.787998208734724,403.74444444444447,47.34444444444444,OpenAI
+gpt-3.5-turbo,morning,3.126271222697364,389.9888888888889,50.93888888888889,OpenAI
+gpt-3.5-turbo,afternoon,3.9458200880459375,381.4428571428571,43.76190476190476,OpenAI
+gpt-3.5-turbo,late afternoon,4.384064777692159,396.4357142857143,43.28333333333333,OpenAI
+gpt-3.5-turbo,evening,3.5153889304115657,385.18095238095236,46.01428571428571,OpenAI
+gpt-3.5-turbo,late evening,5.110168156187617,422.73510971786834,45.358934169278996,OpenAI
+gpt-3.5-turbo,midnight,3.822115447632102,426.71923076923076,49.05,OpenAI
+gpt-3.5-turbo,night,6.062970260473398,418.6192307692308,44.926923076923075,OpenAI
+gpt-4,early morning,14.348626694414351,323.5388888888889,40.544444444444444,OpenAI
+gpt-4,morning,12.759107512468733,338.18333333333334,46.85,OpenAI
+gpt-4,afternoon,16.002364798386893,318.3095238095238,38.77142857142857,OpenAI
+gpt-4,late afternoon,16.80607506932254,313.3595238095238,37.49285714285714,OpenAI
+gpt-4,evening,13.841120740345547,318.0809523809524,40.19285714285714,OpenAI
+gpt-4,late evening,14.298642643005493,314.336,37.012,OpenAI
+gpt-4,midnight,12.3578163115329,334.075,41.35,OpenAI
+gpt-4,night,12.813134506115546,316.93461538461537,37.93076923076923,OpenAI
+gpt-4-turbo,early morning,11.555620827939775,357.65555555555557,47.21666666666667,OpenAI
+gpt-4-turbo,morning,13.686854598257277,381.8888888888889,55.02777777777778,OpenAI
+gpt-4-turbo,afternoon,13.997754749229976,351.01190476190476,46.03333333333333,OpenAI
+gpt-4-turbo,late afternoon,22.320911452883767,381.65714285714284,47.35476190476191,OpenAI
+gpt-4-turbo,evening,16.550320884159632,382.31666666666666,48.45,OpenAI
+gpt-4-turbo,late evening,14.592236209392548,413.61,44.8,OpenAI
+gpt-4-turbo,midnight,13.770663784850727,382.7613636363636,47.61818181818182,OpenAI
+gpt-4-turbo,night,14.254795966698573,352.54615384615386,46.37692307692308,OpenAI
+llama-2-70b-chat,early morning,2.8660141522424265,289.6642857142857,44.614285714285714,Together AI
+llama-2-70b-chat,morning,2.872361832027194,283.35,43.45,Together AI
+llama-2-70b-chat,afternoon,4.234376892130426,375.44615384615383,55.238461538461536,Together AI
+llama-2-70b-chat,late afternoon,3.6833307104881365,433.6636363636364,59.445454545454545,Together AI
+llama-2-70b-chat,evening,2.9706250462084185,317.245,47.4,Together AI
+llama-2-70b-chat,late evening,4.719581684340602,572.1689655172414,79.83103448275862,Together AI
+llama-2-70b-chat,midnight,3.249819871626402,346.8875,52.06875,Together AI
+llama-2-70b-chat,night,2.8264514451677147,313.71,48.42,Together AI
+zephyr-7b-beta,early morning,3.937663261095683,273.03333333333336,43.45,Hugging Face Inference Endpoint
+zephyr-7b-beta,morning,4.056525647640228,386.3,63.35,Hugging Face Inference Endpoint
+zephyr-7b-beta,afternoon,3.5789777278900146,277.6,44.016666666666666,Hugging Face Inference Endpoint
+zephyr-7b-beta,late afternoon,3.4592524923459447,248.59,38.9,Hugging Face Inference Endpoint
+zephyr-7b-beta,evening,3.5673056403795878,273.3666666666667,43.5,Hugging Face Inference Endpoint
+zephyr-7b-beta,late evening,3.45343524068594,176.23125,27.21875,Hugging Face Inference Endpoint
+zephyr-7b-beta,midnight,3.7253047794103624,217.82083333333333,33.67916666666667,Hugging Face Inference Endpoint
+zephyr-7b-beta,night,3.6954557319482166,216.55833333333334,33.46666666666667,Hugging Face Inference Endpoint
diff --git a/data/2024-02-08 14:18:58.194844_time_of_day_comparison.csv b/data/2024-02-08 14:18:58.194844_time_of_day_comparison.csv
new file mode 100644
index 0000000000000000000000000000000000000000..b6cbe6f05c06fe1e841931962a75943878678a8c
--- /dev/null
+++ b/data/2024-02-08 14:18:58.194844_time_of_day_comparison.csv
@@ -0,0 +1,87 @@
+model,time_of_day,execution_time,characters_count,words_count,provider
+Mistral-7B-Instruct-v0.2,morning,3.734026002883911,362.9,58.35,Hugging Face Inference Endpoint
+Mistral-7B-Instruct-v0.2,afternoon,3.228973722457886,222.0625,32.25,Hugging Face Inference Endpoint
+Mistral-7B-Instruct-v0.2,late afternoon,3.2048643112182615,219.8625,31.8,Hugging Face Inference Endpoint
+Mistral-7B-Instruct-v0.2,evening,3.397640073299408,261.18333333333334,40.1,Hugging Face Inference Endpoint
+Mistral-7B-Instruct-v0.2,late evening,3.389284573495388,175.79375,25.68125,Hugging Face Inference Endpoint
+Mistral-7B-Instruct-v0.2,midnight,1.9149879813194275,37.8,2.95,Hugging Face Inference Endpoint
+Mixtral-8x7B-Instruct-v0.1,early morning,4.526968242530536,285.045,41.86,Together AI
+Mixtral-8x7B-Instruct-v0.1,morning,3.9661054956285575,304.82,47.28,Together AI
+Mixtral-8x7B-Instruct-v0.1,afternoon,5.362903979589355,369.3192307692308,54.353846153846156,Together AI
+Mixtral-8x7B-Instruct-v0.1,late afternoon,5.80184749175942,347.9681818181818,47.27272727272727,Together AI
+Mixtral-8x7B-Instruct-v0.1,evening,3.6435119574237023,326.69,48.545,Together AI
+Mixtral-8x7B-Instruct-v0.1,late evening,5.62397656769588,395.15714285714284,49.02857142857143,Together AI
+Mixtral-8x7B-Instruct-v0.1,midnight,4.639010797279158,323.0394736842105,42.69210526315789,Together AI
+Mixtral-8x7B-Instruct-v0.1,night,4.009439338194697,301.24545454545455,42.21818181818182,Together AI
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,early morning,2.0273348593711855,372.13,62.53,Hugging Face Inference Endpoint
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,morning,1.9041210174560548,372.05,62.6,Hugging Face Inference Endpoint
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,afternoon,1.8381905496120452,308.795,51.08,Hugging Face Inference Endpoint
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,late afternoon,1.7547113946505954,285.17857142857144,46.9,Hugging Face Inference Endpoint
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,evening,1.7984187936782836,313.99,51.96,Hugging Face Inference Endpoint
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,late evening,1.5875422928068372,192.78333333333333,31.261111111111113,Hugging Face Inference Endpoint
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,midnight,1.6341248273849487,210.2,34.2,Hugging Face Inference Endpoint
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,night,2.0128010153770446,372.05,62.6,Hugging Face Inference Endpoint
+chat-bison (PaLM 2),early morning,2.4665334616388592,381.9214285714286,60.892857142857146,Google VertexAI
+chat-bison (PaLM 2),morning,2.488477897644043,381.73,60.88,Google VertexAI
+chat-bison (PaLM 2),afternoon,2.6460144804074215,376.28076923076924,55.965384615384615,Google VertexAI
+chat-bison (PaLM 2),late afternoon,3.0387172081253744,381.1363636363636,53.35454545454545,Google VertexAI
+chat-bison (PaLM 2),evening,2.688272579908371,367.07,55.89,Google VertexAI
+chat-bison (PaLM 2),late evening,2.7250528037548065,382.725,52.95,Google VertexAI
+chat-bison (PaLM 2),midnight,2.468383938074112,381.95,60.9,Google VertexAI
+chat-bison (PaLM 2),night,2.460119960308075,381.92,60.94,Google VertexAI
+chat-bison-32k (PaLM 2 32K),early morning,9.141417106560299,335.75,53.85,Google VertexAI
+chat-bison-32k (PaLM 2 32K),morning,7.7035503840446475,335.75,53.85,Google VertexAI
+chat-bison-32k (PaLM 2 32K),afternoon,5.014458654477046,339.3692307692308,49.323076923076925,Google VertexAI
+chat-bison-32k (PaLM 2 32K),late afternoon,4.5047362284226855,348.65909090909093,48.35454545454545,Google VertexAI
+chat-bison-32k (PaLM 2 32K),evening,7.7332194912433625,329.46,49.5,Google VertexAI
+chat-bison-32k (PaLM 2 32K),late evening,7.796841062307358,349.95,47.805,Google VertexAI
+chat-bison-32k (PaLM 2 32K),midnight,7.7498266498247785,335.75,53.85,Google VertexAI
+chat-bison-32k (PaLM 2 32K),night,6.491292915344238,335.75,53.85,Google VertexAI
+gemini-pro,early morning,2.7453590130460435,381.2214285714286,60.964285714285715,Google VertexAI
+gemini-pro,morning,2.497767536007628,371.93,59.39,Google VertexAI
+gemini-pro,afternoon,2.816922114008949,360.62307692307695,53.25769230769231,Google VertexAI
+gemini-pro,late afternoon,2.9268629640903114,364.57272727272726,50.1,Google VertexAI
+gemini-pro,evening,2.86901999375759,366.4,55.045,Google VertexAI
+gemini-pro,late evening,3.7189874940246117,390.9142857142857,51.35,Google VertexAI
+gemini-pro,midnight,3.338477972348531,369.825,55.9125,Google VertexAI
+gemini-pro,night,2.8375814715210272,374.8,60.04,Google VertexAI
+gpt-3.5-turbo,early morning,3.787998208734724,403.74444444444447,47.34444444444444,OpenAI
+gpt-3.5-turbo,morning,3.126271222697364,389.9888888888889,50.93888888888889,OpenAI
+gpt-3.5-turbo,afternoon,3.9458200880459375,381.4428571428571,43.76190476190476,OpenAI
+gpt-3.5-turbo,late afternoon,4.384064777692159,396.4357142857143,43.28333333333333,OpenAI
+gpt-3.5-turbo,evening,3.5153889304115657,385.18095238095236,46.01428571428571,OpenAI
+gpt-3.5-turbo,late evening,5.110168156187617,422.73510971786834,45.358934169278996,OpenAI
+gpt-3.5-turbo,midnight,3.822115447632102,426.71923076923076,49.05,OpenAI
+gpt-3.5-turbo,night,6.062970260473398,418.6192307692308,44.926923076923075,OpenAI
+gpt-4,early morning,14.348626694414351,323.5388888888889,40.544444444444444,OpenAI
+gpt-4,morning,12.759107512468733,338.18333333333334,46.85,OpenAI
+gpt-4,afternoon,16.002364798386893,318.3095238095238,38.77142857142857,OpenAI
+gpt-4,late afternoon,16.80607506932254,313.3595238095238,37.49285714285714,OpenAI
+gpt-4,evening,13.841120740345547,318.0809523809524,40.19285714285714,OpenAI
+gpt-4,late evening,14.298642643005493,314.336,37.012,OpenAI
+gpt-4,midnight,12.3578163115329,334.075,41.35,OpenAI
+gpt-4,night,12.813134506115546,316.93461538461537,37.93076923076923,OpenAI
+gpt-4-turbo,early morning,11.555620827939775,357.65555555555557,47.21666666666667,OpenAI
+gpt-4-turbo,morning,13.686854598257277,381.8888888888889,55.02777777777778,OpenAI
+gpt-4-turbo,afternoon,13.997754749229976,351.01190476190476,46.03333333333333,OpenAI
+gpt-4-turbo,late afternoon,22.320911452883767,381.65714285714284,47.35476190476191,OpenAI
+gpt-4-turbo,evening,16.550320884159632,382.31666666666666,48.45,OpenAI
+gpt-4-turbo,late evening,14.592236209392548,413.61,44.8,OpenAI
+gpt-4-turbo,midnight,13.770663784850727,382.7613636363636,47.61818181818182,OpenAI
+gpt-4-turbo,night,14.254795966698573,352.54615384615386,46.37692307692308,OpenAI
+llama-2-70b-chat,early morning,2.8660141522424265,289.6642857142857,44.614285714285714,Together AI
+llama-2-70b-chat,morning,2.872361832027194,283.35,43.45,Together AI
+llama-2-70b-chat,afternoon,4.234376892130426,375.44615384615383,55.238461538461536,Together AI
+llama-2-70b-chat,late afternoon,3.6833307104881365,433.6636363636364,59.445454545454545,Together AI
+llama-2-70b-chat,evening,2.9706250462084185,317.245,47.4,Together AI
+llama-2-70b-chat,late evening,4.719581684340602,572.1689655172414,79.83103448275862,Together AI
+llama-2-70b-chat,midnight,3.249819871626402,346.8875,52.06875,Together AI
+llama-2-70b-chat,night,2.8264514451677147,313.71,48.42,Together AI
+zephyr-7b-beta,early morning,3.937663261095683,273.03333333333336,43.45,Hugging Face Inference Endpoint
+zephyr-7b-beta,morning,4.056525647640228,386.3,63.35,Hugging Face Inference Endpoint
+zephyr-7b-beta,afternoon,3.5789777278900146,277.6,44.016666666666666,Hugging Face Inference Endpoint
+zephyr-7b-beta,late afternoon,3.4592524923459447,248.59,38.9,Hugging Face Inference Endpoint
+zephyr-7b-beta,evening,3.5673056403795878,273.3666666666667,43.5,Hugging Face Inference Endpoint
+zephyr-7b-beta,late evening,3.45343524068594,176.23125,27.21875,Hugging Face Inference Endpoint
+zephyr-7b-beta,midnight,3.7253047794103624,217.82083333333333,33.67916666666667,Hugging Face Inference Endpoint
+zephyr-7b-beta,night,3.6954557319482166,216.55833333333334,33.46666666666667,Hugging Face Inference Endpoint
diff --git a/data/2024-02-08 14:20:56.432044_time_of_day_comparison.csv b/data/2024-02-08 14:20:56.432044_time_of_day_comparison.csv
new file mode 100644
index 0000000000000000000000000000000000000000..9faef930e644066a103bfb8de4f072f380b28fd9
--- /dev/null
+++ b/data/2024-02-08 14:20:56.432044_time_of_day_comparison.csv
@@ -0,0 +1,87 @@
+provider,model,time_of_day,execution_time,characters_count,words_count
+Mistral-7B-Instruct-v0.2,morning,3.734026002883911,362.9,58.35,Hugging Face Inference Endpoint
+Mistral-7B-Instruct-v0.2,afternoon,3.228973722457886,222.0625,32.25,Hugging Face Inference Endpoint
+Mistral-7B-Instruct-v0.2,late afternoon,3.2048643112182615,219.8625,31.8,Hugging Face Inference Endpoint
+Mistral-7B-Instruct-v0.2,evening,3.397640073299408,261.18333333333334,40.1,Hugging Face Inference Endpoint
+Mistral-7B-Instruct-v0.2,late evening,3.389284573495388,175.79375,25.68125,Hugging Face Inference Endpoint
+Mistral-7B-Instruct-v0.2,midnight,1.9149879813194275,37.8,2.95,Hugging Face Inference Endpoint
+Mixtral-8x7B-Instruct-v0.1,early morning,4.526968242530536,285.045,41.86,Together AI
+Mixtral-8x7B-Instruct-v0.1,morning,3.9661054956285575,304.82,47.28,Together AI
+Mixtral-8x7B-Instruct-v0.1,afternoon,5.362903979589355,369.3192307692308,54.353846153846156,Together AI
+Mixtral-8x7B-Instruct-v0.1,late afternoon,5.80184749175942,347.9681818181818,47.27272727272727,Together AI
+Mixtral-8x7B-Instruct-v0.1,evening,3.6435119574237023,326.69,48.545,Together AI
+Mixtral-8x7B-Instruct-v0.1,late evening,5.62397656769588,395.15714285714284,49.02857142857143,Together AI
+Mixtral-8x7B-Instruct-v0.1,midnight,4.639010797279158,323.0394736842105,42.69210526315789,Together AI
+Mixtral-8x7B-Instruct-v0.1,night,4.009439338194697,301.24545454545455,42.21818181818182,Together AI
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,early morning,2.0273348593711855,372.13,62.53,Hugging Face Inference Endpoint
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,morning,1.9041210174560548,372.05,62.6,Hugging Face Inference Endpoint
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,afternoon,1.8381905496120452,308.795,51.08,Hugging Face Inference Endpoint
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,late afternoon,1.7547113946505954,285.17857142857144,46.9,Hugging Face Inference Endpoint
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,evening,1.7984187936782836,313.99,51.96,Hugging Face Inference Endpoint
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,late evening,1.5875422928068372,192.78333333333333,31.261111111111113,Hugging Face Inference Endpoint
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,midnight,1.6341248273849487,210.2,34.2,Hugging Face Inference Endpoint
+TinyLlama/TinyLlama-1.1B-Chat-v1.0,night,2.0128010153770446,372.05,62.6,Hugging Face Inference Endpoint
+chat-bison (PaLM 2),early morning,2.4665334616388592,381.9214285714286,60.892857142857146,Google VertexAI
+chat-bison (PaLM 2),morning,2.488477897644043,381.73,60.88,Google VertexAI
+chat-bison (PaLM 2),afternoon,2.6460144804074215,376.28076923076924,55.965384615384615,Google VertexAI
+chat-bison (PaLM 2),late afternoon,3.0387172081253744,381.1363636363636,53.35454545454545,Google VertexAI
+chat-bison (PaLM 2),evening,2.688272579908371,367.07,55.89,Google VertexAI
+chat-bison (PaLM 2),late evening,2.7250528037548065,382.725,52.95,Google VertexAI
+chat-bison (PaLM 2),midnight,2.468383938074112,381.95,60.9,Google VertexAI
+chat-bison (PaLM 2),night,2.460119960308075,381.92,60.94,Google VertexAI
+chat-bison-32k (PaLM 2 32K),early morning,9.141417106560299,335.75,53.85,Google VertexAI
+chat-bison-32k (PaLM 2 32K),morning,7.7035503840446475,335.75,53.85,Google VertexAI
+chat-bison-32k (PaLM 2 32K),afternoon,5.014458654477046,339.3692307692308,49.323076923076925,Google VertexAI
+chat-bison-32k (PaLM 2 32K),late afternoon,4.5047362284226855,348.65909090909093,48.35454545454545,Google VertexAI
+chat-bison-32k (PaLM 2 32K),evening,7.7332194912433625,329.46,49.5,Google VertexAI
+chat-bison-32k (PaLM 2 32K),late evening,7.796841062307358,349.95,47.805,Google VertexAI
+chat-bison-32k (PaLM 2 32K),midnight,7.7498266498247785,335.75,53.85,Google VertexAI
+chat-bison-32k (PaLM 2 32K),night,6.491292915344238,335.75,53.85,Google VertexAI
+gemini-pro,early morning,2.7453590130460435,381.2214285714286,60.964285714285715,Google VertexAI
+gemini-pro,morning,2.497767536007628,371.93,59.39,Google VertexAI
+gemini-pro,afternoon,2.816922114008949,360.62307692307695,53.25769230769231,Google VertexAI
+gemini-pro,late afternoon,2.9268629640903114,364.57272727272726,50.1,Google VertexAI
+gemini-pro,evening,2.86901999375759,366.4,55.045,Google VertexAI
+gemini-pro,late evening,3.7189874940246117,390.9142857142857,51.35,Google VertexAI
+gemini-pro,midnight,3.338477972348531,369.825,55.9125,Google VertexAI
+gemini-pro,night,2.8375814715210272,374.8,60.04,Google VertexAI
+gpt-3.5-turbo,early morning,3.787998208734724,403.74444444444447,47.34444444444444,OpenAI
+gpt-3.5-turbo,morning,3.126271222697364,389.9888888888889,50.93888888888889,OpenAI
+gpt-3.5-turbo,afternoon,3.9458200880459375,381.4428571428571,43.76190476190476,OpenAI
+gpt-3.5-turbo,late afternoon,4.384064777692159,396.4357142857143,43.28333333333333,OpenAI
+gpt-3.5-turbo,evening,3.5153889304115657,385.18095238095236,46.01428571428571,OpenAI
+gpt-3.5-turbo,late evening,5.110168156187617,422.73510971786834,45.358934169278996,OpenAI
+gpt-3.5-turbo,midnight,3.822115447632102,426.71923076923076,49.05,OpenAI
+gpt-3.5-turbo,night,6.062970260473398,418.6192307692308,44.926923076923075,OpenAI
+gpt-4,early morning,14.348626694414351,323.5388888888889,40.544444444444444,OpenAI
+gpt-4,morning,12.759107512468733,338.18333333333334,46.85,OpenAI
+gpt-4,afternoon,16.002364798386893,318.3095238095238,38.77142857142857,OpenAI
+gpt-4,late afternoon,16.80607506932254,313.3595238095238,37.49285714285714,OpenAI
+gpt-4,evening,13.841120740345547,318.0809523809524,40.19285714285714,OpenAI
+gpt-4,late evening,14.298642643005493,314.336,37.012,OpenAI
+gpt-4,midnight,12.3578163115329,334.075,41.35,OpenAI
+gpt-4,night,12.813134506115546,316.93461538461537,37.93076923076923,OpenAI
+gpt-4-turbo,early morning,11.555620827939775,357.65555555555557,47.21666666666667,OpenAI
+gpt-4-turbo,morning,13.686854598257277,381.8888888888889,55.02777777777778,OpenAI
+gpt-4-turbo,afternoon,13.997754749229976,351.01190476190476,46.03333333333333,OpenAI
+gpt-4-turbo,late afternoon,22.320911452883767,381.65714285714284,47.35476190476191,OpenAI
+gpt-4-turbo,evening,16.550320884159632,382.31666666666666,48.45,OpenAI
+gpt-4-turbo,late evening,14.592236209392548,413.61,44.8,OpenAI
+gpt-4-turbo,midnight,13.770663784850727,382.7613636363636,47.61818181818182,OpenAI
+gpt-4-turbo,night,14.254795966698573,352.54615384615386,46.37692307692308,OpenAI
+llama-2-70b-chat,early morning,2.8660141522424265,289.6642857142857,44.614285714285714,Together AI
+llama-2-70b-chat,morning,2.872361832027194,283.35,43.45,Together AI
+llama-2-70b-chat,afternoon,4.234376892130426,375.44615384615383,55.238461538461536,Together AI
+llama-2-70b-chat,late afternoon,3.6833307104881365,433.6636363636364,59.445454545454545,Together AI
+llama-2-70b-chat,evening,2.9706250462084185,317.245,47.4,Together AI
+llama-2-70b-chat,late evening,4.719581684340602,572.1689655172414,79.83103448275862,Together AI
+llama-2-70b-chat,midnight,3.249819871626402,346.8875,52.06875,Together AI
+llama-2-70b-chat,night,2.8264514451677147,313.71,48.42,Together AI
+zephyr-7b-beta,early morning,3.937663261095683,273.03333333333336,43.45,Hugging Face Inference Endpoint
+zephyr-7b-beta,morning,4.056525647640228,386.3,63.35,Hugging Face Inference Endpoint
+zephyr-7b-beta,afternoon,3.5789777278900146,277.6,44.016666666666666,Hugging Face Inference Endpoint
+zephyr-7b-beta,late afternoon,3.4592524923459447,248.59,38.9,Hugging Face Inference Endpoint
+zephyr-7b-beta,evening,3.5673056403795878,273.3666666666667,43.5,Hugging Face Inference Endpoint
+zephyr-7b-beta,late evening,3.45343524068594,176.23125,27.21875,Hugging Face Inference Endpoint
+zephyr-7b-beta,midnight,3.7253047794103624,217.82083333333333,33.67916666666667,Hugging Face Inference Endpoint
+zephyr-7b-beta,night,3.6954557319482166,216.55833333333334,33.46666666666667,Hugging Face Inference Endpoint
diff --git a/data/2024-02-08 14:22:42.700060_time_of_day_comparison.csv b/data/2024-02-08 14:22:42.700060_time_of_day_comparison.csv
new file mode 100644
index 0000000000000000000000000000000000000000..dff5a9f8560554f3431477e9b8550a8bd6a9e0a5
--- /dev/null
+++ b/data/2024-02-08 14:22:42.700060_time_of_day_comparison.csv
@@ -0,0 +1,89 @@
+model,time_of_day,execution_time,characters_count,words_count
+Mistral-7B-Instruct-v0.2,morning,3.734026002883911,362.9,58.35
+Mistral-7B-Instruct-v0.2,afternoon,3.228973722457886,222.0625,32.25
+Mistral-7B-Instruct-v0.2,late afternoon,3.2048643112182615,219.8625,31.8
+Mistral-7B-Instruct-v0.2,evening,3.397640073299408,261.18333333333334,40.1
+Mistral-7B-Instruct-v0.2,late evening,3.389284573495388,175.79375,25.68125
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diff --git a/data/general_plots.csv b/data/general_plots.csv
new file mode 100644
index 0000000000000000000000000000000000000000..772ecc7dc37f973ad1b08a56a18da97c7ce93dc7
--- /dev/null
+++ b/data/general_plots.csv
@@ -0,0 +1,452 @@
+path,plot_object,header,description,plot_json
+./html/plots/response_times.html,"Figure({
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+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
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+ 'textposition': 'auto',
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+ 'yaxis': 'y'}],
+ 'layout': {'barmode': 'relative',
+ 'legend': {'title': {'text': 'Model'}, 'tracegroupgap': 0},
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+ 'title': {'text': 'Model endpoints response times'},
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+ 'categoryarray': [Mistral-7B-Instruct-v0.2,
+ Mixtral-8x7B-Instruct-v0.1,
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,
+ chat-bison, chat-bison (PaLM 2), chat-
+ bison-32k, chat-bison-32k (PaLM 2 32K),
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+ gpt-4-turbo, llama-2-70b-chat,
+ zephyr-7b-beta],
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+ 'title': {'text': 'Model'}},
+ 'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'Execution time (s)'}}}
+})",Model endpoints response times,"This plot shows averaged response time for one query for each model.
+
+We used `time.time()` result saved to variable before making the call to API and compared it to `time.time()` result after receiving the results.
+
+It is also important to note that we used litellm python library for all of the models which adds some overhead compared to pure curl calls.","{""data"":[{""alignmentgroup"":""True"",""hovertemplate"":""Model=%{x}\u003cbr\u003eExecution time (s)=%{y}\u003cextra\u003e\u003c\u002fextra\u003e"",""legendgroup"":""Mistral-7B-Instruct-v0.2"",""marker"":{""color"":""#636efa"",""pattern"":{""shape"":""""}},""name"":""Mistral-7B-Instruct-v0.2"",""offsetgroup"":""Mistral-7B-Instruct-v0.2"",""orientation"":""v"",""showlegend"":true,""textposition"":""auto"",""x"":[""Mistral-7B-Instruct-v0.2""],""xaxis"":""x"",""y"":[3.271026806036631],""yaxis"":""y"",""type"":""bar""},{""alignmentgroup"":""True"",""hovertemplate"":""Model=%{x}\u003cbr\u003eExecution time 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diff --git a/data/output_plots.csv b/data/output_plots.csv
new file mode 100644
index 0000000000000000000000000000000000000000..310f6e742949cd5ff5dee3b6c80a24fe01adb846
--- /dev/null
+++ b/data/output_plots.csv
@@ -0,0 +1,604 @@
+plot_object,header,plot_json
+"Figure({
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+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'Mistral-7B-Instruct-v0.2',
+ 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
+ 'name': 'Mistral-7B-Instruct-v0.2',
+ 'offsetgroup': 'Mistral-7B-Instruct-v0.2',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['Mistral-7B-Instruct-v0.2'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([3.1836577]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
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+ 'legendgroup': 'Mixtral-8x7B-Instruct-v0.1',
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+ 'name': 'Mixtral-8x7B-Instruct-v0.1',
+ 'offsetgroup': 'Mixtral-8x7B-Instruct-v0.1',
+ 'orientation': 'v',
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+ 'textposition': 'auto',
+ 'type': 'bar',
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+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
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+ 'legendgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
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+ 'name': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
+ 'offsetgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
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+ 'xaxis': 'x',
+ 'y': array([1.59549656]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
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+ 'legendgroup': 'chat-bison',
+ 'marker': {'color': '#ab63fa', 'pattern': {'shape': ''}},
+ 'name': 'chat-bison',
+ 'offsetgroup': 'chat-bison',
+ 'orientation': 'v',
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+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['chat-bison'], dtype=object),
+ 'xaxis': 'x',
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+ 'yaxis': 'y'},
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+ 'hovertemplate': 'Model=%{x}
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+ 'name': 'chat-bison (PaLM 2)',
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+ 'hovertemplate': 'Model=%{x}
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+ 'legendgroup': 'chat-bison-32k',
+ 'marker': {'color': '#19d3f3', 'pattern': {'shape': ''}},
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+ 'textposition': 'auto',
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+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
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+ 'legendgroup': 'chat-bison-32k (PaLM 2 32K)',
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+ 'name': 'chat-bison-32k (PaLM 2 32K)',
+ 'offsetgroup': 'chat-bison-32k (PaLM 2 32K)',
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+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['chat-bison-32k (PaLM 2 32K)'], dtype=object),
+ 'xaxis': 'x',
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+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
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+ 'legendgroup': 'gemini-pro',
+ 'marker': {'color': '#B6E880', 'pattern': {'shape': ''}},
+ 'name': 'gemini-pro',
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+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['gemini-pro'], dtype=object),
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+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
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+ 'legendgroup': 'gpt-3.5-turbo',
+ 'marker': {'color': '#FF97FF', 'pattern': {'shape': ''}},
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+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
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+ 'xaxis': 'x',
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+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
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+ 'legendgroup': 'gpt-4',
+ 'marker': {'color': '#FECB52', 'pattern': {'shape': ''}},
+ 'name': 'gpt-4',
+ 'offsetgroup': 'gpt-4',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
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+ 'xaxis': 'x',
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+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
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+ 'legendgroup': 'gpt-4-turbo',
+ 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
+ 'name': 'gpt-4-turbo',
+ 'offsetgroup': 'gpt-4-turbo',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['gpt-4-turbo'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([15.85205264]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
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+ 'legendgroup': 'llama-2-70b-chat',
+ 'marker': {'color': '#EF553B', 'pattern': {'shape': ''}},
+ 'name': 'llama-2-70b-chat',
+ 'offsetgroup': 'llama-2-70b-chat',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['llama-2-70b-chat'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([6.06536523]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
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+ 'legendgroup': 'zephyr-7b-beta',
+ 'marker': {'color': '#00cc96', 'pattern': {'shape': ''}},
+ 'name': 'zephyr-7b-beta',
+ 'offsetgroup': 'zephyr-7b-beta',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['zephyr-7b-beta'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([3.38989453]),
+ 'yaxis': 'y'}],
+ 'layout': {'barmode': 'relative',
+ 'legend': {'title': {'text': 'Model'}, 'tracegroupgap': 0},
+ 'template': '...',
+ 'title': {'text': 'Plot of execution time (s) for each model'},
+ 'xaxis': {'anchor': 'y',
+ 'categoryarray': [Mistral-7B-Instruct-v0.2,
+ Mixtral-8x7B-Instruct-v0.1,
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,
+ chat-bison, chat-bison (PaLM 2), chat-
+ bison-32k, chat-bison-32k (PaLM 2 32K),
+ gemini-pro, gpt-3.5-turbo, gpt-4,
+ gpt-4-turbo, llama-2-70b-chat,
+ zephyr-7b-beta],
+ 'categoryorder': 'array',
+ 'domain': [0.0, 1.0],
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diff --git a/data/time_of_day_plot.json b/data/time_of_day_plot.json
index fc38cf9da39432c9bda2ed59cce3adcb4f2107cc..70fa8e0df72652151a51bac04c5be831e03c2633 100644
--- a/data/time_of_day_plot.json
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diff --git a/data/time_of_day_plots.csv b/data/time_of_day_plots.csv
new file mode 100644
index 0000000000000000000000000000000000000000..79ca2c934f80fd02f345389b4ea9151e246c7d62
--- /dev/null
+++ b/data/time_of_day_plots.csv
@@ -0,0 +1,598 @@
+plot_object,header,plot_json
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+ 'textposition': 'auto',
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index 6432722df8ef48d486960b421add6fbf94e4730d..0000000000000000000000000000000000000000
--- a/data/topstory_ids.json
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