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import json | |
import gradio as gr | |
import pandas as pd | |
from css_html import custom_css | |
from text_content import CITATION_BUTTON_TEXT, CITATION_BUTTON_LABEL, ACKNOWLEDGEMENT_TEXT, NOTES_TEXT, HEAD_TEXT | |
from utils import ( | |
AutoEvalColumn, | |
fields, | |
) | |
result_path = './results.json' | |
task_type = ["Pass@1 (Greedy Search N=1 Temperature=0.0)", "Pass@5 (Sampling Search N=5 Temperature=0.2)"] | |
cur_task = "Pass@1" | |
next_task = "Pass@5" | |
def data_convert(data_pass_k : list): | |
df = {"Model":{}} | |
for item in data_pass_k: | |
model_name = item["Model"] | |
domain = item["Domain"] | |
pass_at_k = item["Pass_at_k"] | |
if domain not in df: df[domain] = {} | |
assert model_name not in df[domain] | |
df[domain][model_name] = round(pass_at_k*100, 2) | |
df["Model"][model_name] = model_name | |
df = pd.DataFrame(df) | |
df = df.sort_values(by='Mean', ascending=False) | |
return df | |
with open(result_path, 'r') as f: | |
data = json.load(f) | |
df = data_convert(data["pass_1"]) | |
df_next = data_convert(data["pass_5"]) | |
COLS = [c.name for c in fields(AutoEvalColumn) if not c.hidden] | |
TYPES = [c.type for c in fields(AutoEvalColumn) if not c.hidden] | |
COLS_LITE = [ | |
c.name for c in fields(AutoEvalColumn) if c.displayed_by_default and not c.hidden | |
] | |
TYPES_LITE = [ | |
c.type for c in fields(AutoEvalColumn) if c.displayed_by_default and not c.hidden | |
] | |
def select_columns(df, columns): | |
always_here_cols = [ | |
AutoEvalColumn.model.name, | |
] | |
# We use COLS to maintain sorting | |
filtered_df = df[ | |
always_here_cols + [c for c in COLS if c in df.columns and c in columns] | |
] | |
return filtered_df | |
def select_tasks(df, columns, df_next): | |
always_here_cols = [ | |
AutoEvalColumn.model.name, | |
] | |
df,df_next = df_next,df | |
filtered_df = df[ | |
always_here_cols + [c for c in COLS if c in df.columns and c in columns] | |
] | |
return df,filtered_df,df_next | |
demo = gr.Blocks(css=custom_css) | |
with demo: | |
with gr.Column(): | |
gr.Markdown( | |
"""<div style="text-align: center;"><h1>DomainEval Leaderboard</h1></div>\ | |
<br>\ | |
""", | |
elem_classes="markdown-text", | |
) | |
gr.Markdown(HEAD_TEXT, elem_classes="markdown-text") | |
with gr.Tabs(elem_classes="tab-buttons") as tabs: | |
with gr.Column(): | |
with gr.Tabs(elem_classes="A100-tabs") as A100_tabs: | |
with gr.TabItem("π Evaluation Table", id=0): | |
with gr.Column(): | |
with gr.Accordion("β¬ Pass@k", open=True): | |
shown_tasks = gr.Radio( | |
choices=[ | |
c | |
for c in task_type | |
], | |
value=[ | |
c | |
for c in task_type | |
if cur_task in c | |
][0] if any(cur_task in c for c in task_type) else None, | |
label="", | |
elem_id="task-select", | |
interactive=True, | |
) | |
with gr.Accordion("β¬ Domains", open=True): | |
shown_languages = gr.CheckboxGroup( | |
choices=[ | |
c | |
for c in COLS | |
if c | |
not in [ | |
AutoEvalColumn.model.name, | |
] | |
], | |
value=[ | |
c | |
for c in COLS_LITE | |
if c | |
not in [ | |
AutoEvalColumn.model.name, | |
] | |
], | |
label="", | |
elem_id="column-select", | |
interactive=True, | |
) | |
leaderboard_df = gr.components.Dataframe( | |
value=df[ | |
[ | |
AutoEvalColumn.model.name, | |
] | |
+ shown_languages.value | |
], | |
headers=COLS, | |
datatype=TYPES, | |
elem_id="leaderboard-table", | |
interactive=False, | |
) | |
hidden_leaderboard_df = gr.components.Dataframe( | |
value=df, | |
headers=COLS, | |
datatype=["str" for _ in range(len(COLS))], | |
visible=False, | |
) | |
leaderboard_next = gr.components.Dataframe( | |
value=df_next, | |
headers=COLS, | |
datatype=["str" for _ in range(len(COLS))], | |
visible=False, | |
) | |
shown_languages.change( | |
select_columns, | |
[hidden_leaderboard_df, shown_languages], | |
leaderboard_df, | |
) | |
shown_tasks.change( | |
select_tasks, | |
[hidden_leaderboard_df, shown_languages, leaderboard_next], | |
[hidden_leaderboard_df, leaderboard_df, leaderboard_next], | |
) | |
gr.Markdown(NOTES_TEXT, elem_classes="markdown-text") | |
with gr.Row(): | |
with gr.Accordion("π Citation", open=False): | |
citation_button = gr.Textbox( | |
value=CITATION_BUTTON_TEXT, | |
label=CITATION_BUTTON_LABEL, | |
lines=10, | |
elem_id="citation-button", | |
show_copy_button=True, | |
) | |
with gr.Row(): | |
with gr.Accordion("π Acknowledgement", open=False): | |
gr.Markdown(ACKNOWLEDGEMENT_TEXT) | |
demo.launch() |