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8061116
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Parent(s):
ec2b3ce
Update main.py
Browse files
main.py
CHANGED
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@@ -175,6 +175,167 @@ def main():
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dataset_comparison1 = pd.DataFrame(
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{
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"Dataset": [
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@@ -474,6 +635,7 @@ def intro():
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H3(
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"TxT360 is the first dataset to combine both web and curated data sources commonly used in pretraining."
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),
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table_div_1,
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table_div_2,
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P(
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)
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new_dataset_comparison1 = pd.DataFrame(
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{
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"Data Source": [
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"CommonCrawl",
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"Papers",
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"Wikipedia",
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"FreeLaw",
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"DM Math",
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"USPTO",
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"PG-19",
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"HackerNews",
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"Ubuntu IRC",
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"EuroParl",
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"StackExchange",
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"Code",
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],
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"TxT360": [
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"99 Snapshots",
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"5 Sources",
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"310+ Languages",
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"Included",
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"Included",
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"Included",
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"Included",
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"Included",
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"Included",
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"Included",
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"Included",
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"**",
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],
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"FineWeb": [
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"96 Snapshots",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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],
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"RefinedWeb": [
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"90 Snapshots",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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],
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"PedPajama-V-2": [
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"84 Snapshots",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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],
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"C4": [
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"1 Snapshots",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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"-",
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],
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"Dolma": [
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"24 Snapshots",
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"1 Source",
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"checkmark",
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"-",
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"-",
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"-",
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"Included",
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"-",
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"-",
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"-",
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"-",
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"Included",
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],
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"RedPajama-V-1": [
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"5 Snapshots",
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"1 Source",
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"checkmark",
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"",
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" ",
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"",
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"Included",
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"-",
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"-",
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"-",
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"Included",
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"Included",
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],
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"The Pile": [
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"0.6% of 74 Snapshots",
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"4 Sources",
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"English Only",
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"Included",
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"Included",
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"Included",
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"Included",
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"Included",
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"Included",
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"Included",
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"Included",
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"Included",
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],
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}
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)
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# Apply table styling: Light green for the header, alternating white and light grey for rows
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styled_table = (
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new_dataset_comparison1.style.set_properties(
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**{"background-color": "#E1EEDB"},
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subset=pd.IndexSlice[0, :], # Row 0 with a light green background
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)
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.apply(
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lambda x: [
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"background-color: #E1EEDB"
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if i == 0
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else (
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"background-color: rgb(237, 242, 251)"
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if i % 2 == 0
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else "background-color: white"
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)
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for i in range(len(x))
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],
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axis=0,
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)
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.hide(axis="index")
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) # Hide the row index
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# Use _repr_html_() method to get the HTML representation of the styled DataFrame
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table_html = styled_table._repr_html_()
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# table_html = dataset_comparison1.to_html(index=False, border=0)
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new_table_div_1 = Div(NotStr(table_html), style="margin: 40px;")
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dataset_comparison1 = pd.DataFrame(
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{
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"Dataset": [
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| 635 |
H3(
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| 636 |
"TxT360 is the first dataset to combine both web and curated data sources commonly used in pretraining."
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| 637 |
),
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+
new_table_div_1,
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table_div_1,
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table_div_2,
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| 641 |
P(
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