Update enwiki to 20260901

#3
by jph00 - opened
README.md CHANGED
@@ -12,14 +12,14 @@ configs:
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  # English Wikipedia as clean md
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- This dataset is a cleaned, structurally faithful approximation of the English Wikipedia article corpus in Answer.AI's canonical `md` dialect. It was produced from the Wikimedia dump dated **20260801** by [Answer.AI's parse-wiki pipeline](https://github.com/AnswerDotAI/parse-wiki).
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  It is designed for language-model training and for agent/RAG systems. The `articles` configuration provides complete documents for continued pretraining, corpus analysis, rechunking, and task-specific dataset creation. The `chunks` configuration provides section-aware retrieval units without duplicating article text: every chunk is a UTF-8 byte range into an article plus a small Markdown heading prefix. This keeps the corpus compact while preserving useful article and section breadcrumbs.
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  ## Contents
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- - **articles** — 6,836,823 cleaned articles with dense `article_id`, Wikimedia page and revision IDs, title, revision timestamp, complete `md`, and conversion warnings.
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- - **chunks** — 11,153,239 chunk indexes targeting about 700 words, with `article_id`, per-article `chunk_id`, UTF-8 `start_byte`/`byte_len`, `prefix_md`, `start_kind`, and `word_count`.
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  The article row number equals `article_id`, and chunk rows are ordered by `article_id` then `chunk_id`. UTF-8 byte offsets—not Python character offsets—are used so ranges are stable across languages and tools.
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@@ -56,7 +56,7 @@ This is intentionally a fast, useful approximation rather than a browser-perfect
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  ## License and attribution
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- Wikipedia text is provided by its contributors under the [Creative Commons Attribution-ShareAlike 4.0 License](https://creativecommons.org/licenses/by-sa/4.0/) and may also be available under the GFDL. This transformed dataset is distributed under CC BY-SA 4.0. Attribute **English Wikipedia contributors**, link to the relevant article or revision, and indicate that the text was transformed by Answer.AI's parse-wiki pipeline. For a row, an exact revision URL is:
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  ```python
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  url = f"https://en.wikipedia.org/w/index.php?oldid={article['revision_id']}"
 
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  # English Wikipedia as clean md
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+ This dataset is a cleaned, structurally faithful approximation of the English Wikipedia article corpus in Answer.AI's canonical `md` dialect. It was produced from the Wikimedia dump dated **20260901** by [Answer.AI's wiki2dataset pipeline](https://github.com/AnswerDotAI/wiki2dataset).
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  It is designed for language-model training and for agent/RAG systems. The `articles` configuration provides complete documents for continued pretraining, corpus analysis, rechunking, and task-specific dataset creation. The `chunks` configuration provides section-aware retrieval units without duplicating article text: every chunk is a UTF-8 byte range into an article plus a small Markdown heading prefix. This keeps the corpus compact while preserving useful article and section breadcrumbs.
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  ## Contents
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+ - **articles** — 6,839,889 cleaned articles with dense `article_id`, Wikimedia page and revision IDs, title, revision timestamp, complete `md`, and conversion warnings.
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+ - **chunks** — 11,178,095 chunk indexes targeting about 700 words, with `article_id`, per-article `chunk_id`, UTF-8 `start_byte`/`byte_len`, `prefix_md`, `start_kind`, and `word_count`.
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  The article row number equals `article_id`, and chunk rows are ordered by `article_id` then `chunk_id`. UTF-8 byte offsets—not Python character offsets—are used so ranges are stable across languages and tools.
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  ## License and attribution
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+ Wikipedia text is provided by its contributors under the [Creative Commons Attribution-ShareAlike 4.0 License](https://creativecommons.org/licenses/by-sa/4.0/) and may also be available under the GFDL. This transformed dataset is distributed under CC BY-SA 4.0. Attribute **English Wikipedia contributors**, link to the relevant article or revision, and indicate that the text was transformed by Answer.AI's wiki2dataset pipeline. For a row, an exact revision URL is:
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  ```python
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  url = f"https://en.wikipedia.org/w/index.php?oldid={article['revision_id']}"
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