Publish 6 shards CC-MAIN-2026-12/16221–16453

README.md

@@ -32,19 +32,19 @@ configs:
 
 **Open Markdown** is a large-scale web text dataset built from [Common Crawl](https://commoncrawl.org). Common Crawl is a non-profit that crawls the web and freely provides its archives and datasets to the public — see [their latest crawl announcement](https://commoncrawl.org/blog/march-2026-crawl-archive-now-available) for details on the source data. Every page goes through a pipeline that extracts the main content from raw HTML, converts it to clean Markdown, and packages the result into Parquet files with useful WARC metadata for traceability.
 
-The dataset currently includes crawl **CC-MAIN-2026-12** with **277,682,665 documents across 16180 shards**. Processed 36.0 TB of raw HTML into 2.3 TB of clean Markdown — a **96.9% reduction**. We plan to add more snapshots over time.
+The dataset currently includes crawl **CC-MAIN-2026-12** with **277,787,396 documents across 16186 shards**. Processed 36.0 TB of raw HTML into 2.3 TB of clean Markdown — a **96.9% reduction**. We plan to add more snapshots over time.
 
 ### Live Progress
 
-Processing at **120.0 shards/hour** — 16,180 of 100,000 done (**16.18%**)
+Processing at **128.0 shards/hour** — 16,186 of 100,000 done (**16.19%**)
 
-Estimated completion: **April 25, 2026** (29 days)
+Estimated completion: **April 23, 2026** (27 days)
 
-**Current server:** 6 CPU cores, 12 GB RAM (3.8 GB available), 100 GB disk free
+**Current server:** 6 CPU cores, 12 GB RAM (3.7 GB available), 100 GB disk free
 
 **Memory per session:** avg 578 MB, peak 799 MB (measured via VmRSS)
 
-**With 10 identical servers:** 1200 shards/hour → March 29, 2026 (3 days)
+**With 10 identical servers:** 1280 shards/hour → March 29, 2026 (3 days)
 
 **Open Markdown** is released under the **Open Data Commons Attribution License (ODC-By) v1.0**, the same license used by Common Crawl.
 
@@ -182,27 +182,27 @@ No intermediate files are created — the pipeline streams from compressed WARC
 
 ### Compression Ratios
 
-Numbers below are actual measurements summed across all 16180 files of CC-MAIN-2026-12 (277,682,665 pages total), projected to the full crawl of 100,000 WARC files.
+Numbers below are actual measurements summed across all 16186 files of CC-MAIN-2026-12 (277,787,396 pages total), projected to the full crawl of 100,000 WARC files.
 
-| Stage | 16180 files (measured) | 100,000 files (projected) | Reduction |
+| Stage | 16186 files (measured) | 100,000 files (projected) | Reduction |
 |---|---|---|---|
 | Raw WARC (.warc.gz, downloaded) | ~12.8 TB | ~79.2 TB | — |
 | HTML extracted (uncompressed) | 36.0 TB | ~222.5 TB | — |
 | Markdown (clean text) | 2.3 TB | ~6.8 TB | **-96.9%** vs HTML |
-| Final Parquet (Zstd) | 745.0 GB | ~4.5 TB | **-68.9%** vs markdown |
+| Final Parquet (Zstd) | 745.3 GB | ~4.5 TB | **-68.9%** vs markdown |
 
 The big win is HTML → Markdown conversion: the tokenizer strips all tags, scripts, styles, navigation, and ads, keeping only the main content. This cuts 36.0 TB of uncompressed HTML down to 2.3 TB of markdown — a **96.9% reduction**. Parquet with Zstd then compresses the markdown a further 68.9%.
 
-End to end: ~12.8 TB of raw gzipped WARCs becomes **745.0 GB of Parquet** — a **94.3% total reduction** — containing 277,682,665 clean markdown documents.
+End to end: ~12.8 TB of raw gzipped WARCs becomes **745.3 GB of Parquet** — a **94.3% total reduction** — containing 277,787,396 clean markdown documents.
 
 ### Processing Times
 
-Pipeline timings across 16180 shards of CC-MAIN-2026-12:
+Pipeline timings across 16186 shards of CC-MAIN-2026-12:
 
 ```
-Download (raw WARC)                   █████████░░░░░░░░░░░░░░░  153h 57m 57s
-Convert  (HTML → Markdown → Parquet)  ████████████████████████  375h 49m 32s
-Publish  (HuggingFace)                ███░░░░░░░░░░░░░░░░░░░░░  60h 31m 53s
+Download (raw WARC)                   █████████░░░░░░░░░░░░░░░  154h 6m 30s
+Convert  (HTML → Markdown → Parquet)  ████████████████████████  376h 4m 30s
+Publish  (HuggingFace)                ███░░░░░░░░░░░░░░░░░░░░░  60h 32m 53s
 ```
 
 ### Dataset Charts

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stats.csv

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