Publish 2 shards CC-MAIN-2026-08/00502–01009
Browse files- README.md +14 -14
- data/CC-MAIN-2026-08/00502.parquet +3 -0
- data/CC-MAIN-2026-08/01009.parquet +3 -0
- stats.csv +4 -1
README.md
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Open Index is a large-scale web text dataset built from [Common Crawl](https://commoncrawl.org). Every page goes through a pipeline that extracts the main content from raw HTML, converts it to clean Markdown using [trafilatura](https://github.com/adbar/trafilatura), and packages the result into Parquet files with full WARC metadata preserved.
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The dataset currently includes crawl **CC-MAIN-2026-08** with **15,
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Open Index is released under the **Open Data Commons Attribution License (ODC-By) v1.0**, the same license used by Common Crawl.
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### Compression Ratios
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Numbers below are actual measurements summed across all
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| Stage |
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|---|---|---|---|
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| Raw WARC (.warc.gz, downloaded) | ~
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| HTML extracted (uncompressed) | 1.
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| Packed markdown WARC (.md.warc.gz) | ~32.
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| Final Parquet (Zstd level 19) | 22.
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The big win is the HTML → Markdown step: trafilatura strips all tags, scripts, styles, navigation, and ads, keeping only the main content. This cuts 1.
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End to end: ~
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### Processing Times
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Pipeline timings across
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```
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Download (raw WARC) ████████████████████████ total 45h
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Convert (HTML → MD) █░░░░░░░░░░░░░░░░░░░░░░░ total 2h
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Export (Parquet) █████░░░░░░░░░░░░░░░░░░░ total 9h
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Publish (HuggingFace) ███░░░░░░░░░░░░░░░░░░░░░ total 5h 54m
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```
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### Dataset Charts
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Open Index is a large-scale web text dataset built from [Common Crawl](https://commoncrawl.org). Every page goes through a pipeline that extracts the main content from raw HTML, converts it to clean Markdown using [trafilatura](https://github.com/adbar/trafilatura), and packages the result into Parquet files with full WARC metadata preserved.
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The dataset currently includes crawl **CC-MAIN-2026-08** with **15,396,603 documents across 796 shards**. We plan to add more snapshots over time.
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Open Index is released under the **Open Data Commons Attribution License (ODC-By) v1.0**, the same license used by Common Crawl.
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### Compression Ratios
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Numbers below are actual measurements summed across all 796 files of CC-MAIN-2026-08 (15,396,603 pages total), projected to the full crawl of 100,000 WARC files.
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| Stage | 796 files (measured) | 100,000 files (projected) | Reduction |
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|---|---|---|---|
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| Raw WARC (.warc.gz, downloaded) | ~645.2 GB | ~83 TB | — |
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| HTML extracted (uncompressed) | 1.9 TB | ~295 TB | — |
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| Packed markdown WARC (.md.warc.gz) | ~32.6 GB | ~3.7 TB | **-98.3%** vs HTML |
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| Final Parquet (Zstd level 19) | 22.1 GB | ~2.9 TB | **-32.4%** vs packed WARC |
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The big win is the HTML → Markdown step: trafilatura strips all tags, scripts, styles, navigation, and ads, keeping only the main content. This cuts 1.9 TB of uncompressed HTML down to 69.4 GB of markdown — a **98.3% reduction** — before any file-level compression is applied. Parquet with Zstd level 19 then compresses the markdown a further 68.2%.
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End to end: ~645.2 GB of raw gzipped WARCs becomes **22.1 GB of Parquet** — a **96.6% total reduction** — containing 15,396,603 clean markdown documents.
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### Processing Times
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Pipeline timings across 796 shards of CC-MAIN-2026-08:
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```
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Download (raw WARC) ████████████████████████ total 45h 29m 47s avg 3m 25s
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Convert (HTML → MD) █░░░░░░░░░░░░░░░░░░░░░░░ total 2h 16m 5s avg 10s
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Export (Parquet) █████░░░░░░░░░░░░░░░░░░░ total 9h 45m 29s avg 44s
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Publish (HuggingFace) ███░░░░░░░░░░░░░░░░░░░░░ total 5h 54m 40s avg 26s
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```
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### Dataset Charts
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data/CC-MAIN-2026-08/00502.parquet
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size 29177803
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data/CC-MAIN-2026-08/01009.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:26d3aa4f92daa1ef9a94d9e9e68f93e97672d65efb02bf0cba9ee70461efe869
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size 29637630
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stats.csv
CHANGED
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@@ -249,6 +249,7 @@ CC-MAIN-2026-08,326,19295,2524211233,94737626,30181428,2026-03-13T15:07:45Z,0,16
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CC-MAIN-2026-08,403,19320,2579048144,91406292,29341198,2026-03-13T11:56:46Z,0,414,29,0
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@@ -296,6 +297,7 @@ CC-MAIN-2026-08,444,19453,2585282689,92410463,29786420,2026-03-13T11:56:12Z,297,
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@@ -389,7 +391,7 @@ CC-MAIN-2026-08,739,19722,2589544973,95675374,30075683,2026-03-13T11:50:09Z,402,
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