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Publish shard CC-MAIN-2026-08/00406

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  1. README.md +13 -13
  2. data/CC-MAIN-2026-08/00406.parquet +3 -0
  3. stats.csv +3 -1
README.md CHANGED
@@ -32,7 +32,7 @@ configs:
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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 **1,419,426 documents across 72 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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@@ -166,28 +166,28 @@ Empty conversions (pages where trafilatura could not extract meaningful content)
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  ### Compression Ratios
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- Numbers below are actual measurements summed across all 72 files of CC-MAIN-2026-08 (1,419,426 pages total), projected to the full crawl of 100,000 WARC files.
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- | Stage | 72 files (measured) | 100,000 files (projected) | Reduction |
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  |---|---|---|---|
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- | Raw WARC (.warc.gz, downloaded) | ~58.4 GB | ~83 TB | — |
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- | HTML extracted (uncompressed) | 176.7 GB | ~295 TB | — |
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- | Packed markdown WARC (.md.warc.gz) | ~2.9 GB | ~3.7 TB | **-98.4%** vs HTML |
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- | Final Parquet (Zstd level 19) | 2.0 GB | ~2.9 TB | **-31.6%** 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 176.7 GB of uncompressed HTML down to 6.2 GB of markdown — a **98.4% reduction** — before any file-level compression is applied. Parquet with Zstd level 19 then compresses the markdown a further 67.9%.
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- End to end: ~58.4 GB of raw gzipped WARCs becomes **2.0 GB of Parquet** — a **96.6% total reduction** — containing 1,419,426 clean markdown documents.
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  ### Processing Times
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- Pipeline timings across 72 shards of CC-MAIN-2026-08:
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  ```
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- Download (raw WARC) ████████████████████████ total 1h 45m 43s avg 1m 28s
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  Convert (HTML → MD) ███░░░░░░░░░░░░░░░░░░░░░ total 16m 2s avg 13s
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- Export (Parquet) █████░░░░░░░░░░░░░░░░░░░ total 24m 32s avg 20s
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- Publish (HuggingFace) ██████████░░░░░░░░░░░░░ total 48m 0s avg 40s
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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 **1,458,261 documents across 74 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 74 files of CC-MAIN-2026-08 (1,458,261 pages total), projected to the full crawl of 100,000 WARC files.
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+ | Stage | 74 files (measured) | 100,000 files (projected) | Reduction |
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  |---|---|---|---|
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+ | Raw WARC (.warc.gz, downloaded) | ~60.0 GB | ~83 TB | — |
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+ | HTML extracted (uncompressed) | 181.5 GB | ~295 TB | — |
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+ | Packed markdown WARC (.md.warc.gz) | ~3.0 GB | ~3.7 TB | **-98.3%** vs HTML |
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+ | Final Parquet (Zstd level 19) | 2.0 GB | ~2.9 TB | **-31.7%** 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 181.5 GB of uncompressed HTML down to 6.4 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 67.9%.
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+ End to end: ~60.0 GB of raw gzipped WARCs becomes **2.0 GB of Parquet** — a **96.6% total reduction** — containing 1,458,261 clean markdown documents.
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  ### Processing Times
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+ Pipeline timings across 74 shards of CC-MAIN-2026-08:
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  ```
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+ Download (raw WARC) ████████████████████████ total 1h 49m 57s avg 1m 29s
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  Convert (HTML → MD) ███░░░░░░░░░░░░░░░░░░░░░ total 16m 2s avg 13s
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+ Export (Parquet) █████░░░░░░░░░░░░░░░░░░░ total 25m 15s avg 20s
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+ Publish (HuggingFace) ██████████░░░░░░░░░░░░░ total 53m 7s avg 43s
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  ```
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  ### Dataset Charts
data/CC-MAIN-2026-08/00406.parquet ADDED
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+ oid sha256:1b9a83342ddf4c0325bb861d7d84767117a7a74366baf61b160497d2eb9d6c88
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+ size 28840885
stats.csv CHANGED
@@ -51,16 +51,18 @@ CC-MAIN-2026-08,251,19610,2594898345,97558492,31917087,2026-03-13T06:42:12Z,277,
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  CC-MAIN-2026-08,254,19506,2588922978,95342460,30328355,2026-03-13T06:56:10Z,136,0,21,109
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  CC-MAIN-2026-08,253,19312,2557230855,96017199,30399966,2026-03-13T06:51:42Z,130,0,23,117
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  CC-MAIN-2026-08,254,19506,2588922978,95342460,30328355,2026-03-13T06:56:10Z,136,0,21,109
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+ CC-MAIN-2026-08,255,19631,2593650927,99153070,31590444,2026-03-13T07:01:30Z,218,0,26,74
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  CC-MAIN-2026-08,401,19517,2605589961,95609438,30404753,2026-03-13T06:41:08Z,218,0,47,107
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  CC-MAIN-2026-08,402,19446,2552785517,96654791,30588984,2026-03-13T06:43:58Z,98,0,26,44
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  CC-MAIN-2026-08,403,19320,2579048144,91406292,29375992,2026-03-13T06:49:29Z,198,0,33,98
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  CC-MAIN-2026-08,405,19695,2604046349,94276542,30825630,2026-03-13T06:59:16Z,213,0,76,11
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  CC-MAIN-2026-08,551,19551,2609034951,89980913,29167227,2026-03-13T06:42:51Z,280,0,20,176
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  CC-MAIN-2026-08,552,19402,2594817630,94092761,30309254,2026-03-13T06:48:30Z,211,0,46,80
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  CC-MAIN-2026-08,553,19856,2617133708,99106486,30365588,2026-03-13T06:52:51Z,116,0,23,120
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  CC-MAIN-2026-08,554,19174,2544960299,93233234,29023716,2026-03-13T06:59:35Z,239,0,83,80
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+ CC-MAIN-2026-08,555,19447,2566133601,94335404,29912402,2026-03-13T07:02:02Z,125,0,21,0
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  CC-MAIN-2026-08,701,19412,2563976599,92296196,29384755,2026-03-13T06:41:28Z,272,0,22,99
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  CC-MAIN-2026-08,702,19449,2572639558,92293569,29721653,2026-03-13T06:44:08Z,113,0,20,24
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  CC-MAIN-2026-08,703,19592,2602952509,95185029,30720858,2026-03-13T06:49:34Z,187,0,36,100