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1c66024
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Parent(s):
6afc890
Update main.py
Browse files
main.py
CHANGED
@@ -65,7 +65,7 @@ def main():
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),
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Li(
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A(
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-
"
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href="/intro#section2",
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hx_get="/intro#section2",
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hx_target="#inner-text",
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@@ -73,7 +73,7 @@ def main():
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),
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Li(
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A(
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"
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href="/intro#section3",
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hx_get="/intro#section3",
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hx_target="#inner-text",
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@@ -81,7 +81,7 @@ def main():
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),
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Li(
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A(
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"
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href="/intro#section4",
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hx_get="/intro#section4",
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hx_target="#inner-text",
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@@ -210,143 +210,6 @@ previous_content = P("""The performance of a large language model (LLM)
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and the process followed to create its 📚
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FineWeb-Edu subset.""")
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dataset_comparison = pd.DataFrame(
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{
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"Dataset": [
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"TxT360",
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"FineWeb",
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"RefinedWeb",
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"RedPajama-v2",
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"C4",
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"Dolma",
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"RedPajama-v1",
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"The Pile",
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],
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"CommonCrawl": [
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"99 Snapshots",
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"96 Snapshots",
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"90 Snapshots",
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"84 Snapshots",
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"1 Snapshots",
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"24 Snapshots",
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"5 Snapshots",
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"0.6% of 74 Snapshots",
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],
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"Papers": [
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"5 Sources",
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"-",
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"-",
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"-",
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"-",
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"1 Source",
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"1 Source",
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"4 Sources",
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],
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"Wikipedia": [
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"Improves data quality by removing irrelevant documents",
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"Filters out low-quality or incomplete documents",
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"Provides additional information for analysis",
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"Enables language-specific analysis and insights",
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"Helps understand the complexity and content of documents",
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"Identifies important terms and topics in the dataset",
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"Quantifies the importance of individual words",
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"RedPajama-v1",
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],
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"FreeLaw": [
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"May exclude documents in less common languages",
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"May remove documents with valuable information",
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"May introduce bias in the analysis",
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"May not accurately represent the language distribution",
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"May not capture the complexity of document structure",
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"May be sensitive to noise and outliers",
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"May not capture the semantic meaning of words",
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"RedPajama-v1",
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],
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"DM Math": [
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"May exclude documents in less common languages",
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"May remove documents with valuable information",
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"May introduce bias in the analysis",
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"May not accurately represent the language distribution",
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"May not capture the complexity of document structure",
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"May be sensitive to noise and outliers",
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"May not capture the semantic meaning of words",
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"RedPajama-v1",
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],
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"USPTO": [
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"May exclude documents in less common languages",
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"May remove documents with valuable information",
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"May introduce bias in the analysis",
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"May not accurately represent the language distribution",
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"May not capture the complexity of document structure",
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"May be sensitive to noise and outliers",
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"May not capture the semantic meaning of words",
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"RedPajama-v1",
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],
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"PG-19": [
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"May exclude documents in less common languages",
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"May remove documents with valuable information",
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"May introduce bias in the analysis",
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"May not accurately represent the language distribution",
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"May not capture the complexity of document structure",
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"May be sensitive to noise and outliers",
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"May not capture the semantic meaning of words",
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"RedPajama-v1",
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],
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"HackerNews": [
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"May exclude documents in less common languages",
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"May remove documents with valuable information",
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"May introduce bias in the analysis",
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"May not accurately represent the language distribution",
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"May not capture the complexity of document structure",
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"May be sensitive to noise and outliers",
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"May not capture the semantic meaning of words",
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"RedPajama-v1",
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],
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"Ubuntu IRC": [
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"May exclude documents in less common languages",
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"May remove documents with valuable information",
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"May introduce bias in the analysis",
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"May not accurately represent the language distribution",
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"May not capture the complexity of document structure",
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"May be sensitive to noise and outliers",
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"May not capture the semantic meaning of words",
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"RedPajama-v1",
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],
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"EuroParl": [
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"May exclude documents in less common languages",
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"May remove documents with valuable information",
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"May introduce bias in the analysis",
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"May not accurately represent the language distribution",
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"May not capture the complexity of document structure",
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"May be sensitive to noise and outliers",
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"May not capture the semantic meaning of words",
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"RedPajama-v1",
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],
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"StackExchange": [
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"May exclude documents in less common languages",
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"May remove documents with valuable information",
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"May introduce bias in the analysis",
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"May not accurately represent the language distribution",
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"May not capture the complexity of document structure",
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"May be sensitive to noise and outliers",
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"May not capture the semantic meaning of words",
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"RedPajama-v1",
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],
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"Code": [
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"May exclude documents in less common languages",
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"May remove documents with valuable information",
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"May introduce bias in the analysis",
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"May not accurately represent the language distribution",
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"May not capture the complexity of document structure",
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"May be sensitive to noise and outliers",
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"May not capture the semantic meaning of words",
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"RedPajama-v1",
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],
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}
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)
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table_html = dataset_comparison.to_html(index=False, border=0)
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table_div = Div(NotStr(table_html), style="margin: 40px;")
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@@ -386,13 +249,6 @@ def intro():
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P("In the remainder of this blog post, we will walk you through the entire process and the rationale behind each decision. Enjoy!"),
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id="section4",
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),
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Section(
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H2("Combining the Best of Web and Curated Sources"),
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H3("Why combine the web and highly curated sources? Isn't the web-only data enough?"),
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P("Table 1: TxT360 combines both the web data and highly-curated sources, which none of the existing datasets have covered. The following table shows TxT360 and other well-known datasets on the coverage and size of data sources."),
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table_div,
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id="section5",
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),
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id="inner-text",
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)
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),
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Li(
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A(
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"Global Deduplication",
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href="/intro#section2",
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hx_get="/intro#section2",
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hx_target="#inner-text",
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),
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Li(
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A(
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"Controllable Upweighting",
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href="/intro#section3",
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hx_get="/intro#section3",
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hx_target="#inner-text",
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),
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Li(
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A(
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+
"Full Documentation",
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href="/intro#section4",
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hx_get="/intro#section4",
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hx_target="#inner-text",
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and the process followed to create its 📚
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FineWeb-Edu subset.""")
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P("In the remainder of this blog post, we will walk you through the entire process and the rationale behind each decision. Enjoy!"),
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id="section4",
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),
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id="inner-text",
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)
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