Add files using upload-large-folder tool

README.md

@@ -6,7 +6,7 @@ license: cc-by-nc-nd-4.0
 task_categories:
 - text-generation
 size_categories:
-- 100K<n<1M
+- 1M<n<10M
 tags:
 - long-context
 - documents
@@ -29,10 +29,10 @@ teacher generations). Those datasets refer to documents by `id` and never copy t
 
 | | |
 |---|---|
-| Documents | **619,785** |
-| Tokens (MiniCPM5-2B) | **10.46B** |
+| Documents | **2,898,910** |
+| Tokens (MiniCPM5-2B) | **34.95B** |
 | Length range | 1,024 – 32,768 tokens, 31 buckets |
-| Buckets at target (20,000 docs) | 31 of 31 |
+| Docs per bucket | 25,725 (longest) to 181,815 (shortest) |
 | Sources | 23 public Hub datasets |
 | Exact duplicates removed | 79,462 |
 | Version | v1 (stage 1: curation only), built 2026-10-14 |
@@ -44,7 +44,7 @@ teacher generations). Those datasets refer to documents by `id` and never copy t
 ```python
 from datasets import load_dataset
 
-# Everything (streams; about 10.46B tokens of text)
+# Everything (streams; about 34.95B tokens of text)
 ds = load_dataset("alpha-qualia/docs1", split="train", streaming=True)
 
 # One length bucket: 8,192–9,215 tokens
@@ -54,6 +54,10 @@ ds = load_dataset("alpha-qualia/docs1", data_files="data/b07_8192-9215/*.parquet
 ds = ds.filter(lambda r: 8500 <= r["length_tokens_minicpm"] <= 9000)
 ```
 
+Short documents are far more common than long ones (see the figure), so for a **uniform length
+distribution**, sample the same number of documents from every bucket folder. Every bucket has at least
+25,725.
+
 Files are stored as `data/b{NN}_{low}-{high}/part-*.parquet`, so a curriculum (short first, then long) can read
 whole buckets. Rows are shuffled within each bucket.
 
@@ -73,29 +77,29 @@ whole buckets. Rows are shuffled within each bucket.
 
 | Source | Hub dataset | Category | Docs | Tokens | Mean length | Segmented | License |
 |---|---|---|---:|---:|---:|---:|---|
-| `finepdfs-edu` | [HuggingFaceFW/finepdfs-edu](https://huggingface.co/datasets/HuggingFaceFW/finepdfs-edu) | PDFs | 103,609 | 1.98B | 19,098 | 25% | ODC-By 1.0 |
-| `fineweb-edu` | [HuggingFaceFW/fineweb-edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu) | Web | 99,187 | 1.84B | 18,533 | 24% | ODC-By 1.0 |
-| `pubmed` | [common-pile/pubmed_filtered](https://huggingface.co/datasets/common-pile/pubmed_filtered) | Science | 45,453 | 794.5M | 17,480 | 9% | open (per doc, Common Pile) |
-| `stack-edu` | [common-pile/stackv2_edu_filtered](https://huggingface.co/datasets/common-pile/stackv2_edu_filtered) | Code | 43,800 | 750.4M | 17,133 | 27% | open (per doc, Common Pile) |
-| `finewiki` | [HuggingFaceFW/finewiki](https://huggingface.co/datasets/HuggingFaceFW/finewiki) | Wikipedia | 49,081 | 742.7M | 15,133 | 13% | CC BY-SA 4.0 / GFDL |
-| `gutenberg` | [common-pile/project_gutenberg_filtered](https://huggingface.co/datasets/common-pile/project_gutenberg_filtered) | Books | 34,525 | 659.7M | 19,109 | 92% | open (per doc, Common Pile) |
-| `doab` | [common-pile/doab_filtered](https://huggingface.co/datasets/common-pile/doab_filtered) | Books | 34,525 | 659.6M | 19,105 | 65% | open (per doc, Common Pile) |
-| `ar5iv` | [marin-community/ar5iv-no-problem-markdown](https://huggingface.co/datasets/marin-community/ar5iv-no-problem-markdown) | Science | 40,487 | 530.0M | 13,091 | 3% | arXiv (per paper) |
-| `usgpo` | [common-pile/usgpo_filtered](https://huggingface.co/datasets/common-pile/usgpo_filtered) | Government | 24,163 | 461.5M | 19,099 | 52% | open (per doc, Common Pile) |
-| `pes2o` | [common-pile/peS2o_filtered](https://huggingface.co/datasets/common-pile/peS2o_filtered) | Science | 27,005 | 435.2M | 16,114 | 4% | open (per doc, Common Pile) |
-| `youtube` | [common-pile/youtube_filtered](https://huggingface.co/datasets/common-pile/youtube_filtered) | Transcripts | 22,585 | 412.0M | 18,240 | 14% | open (per doc, Common Pile) |
-| `caselaw` | [common-pile/caselaw_access_project_filtered](https://huggingface.co/datasets/common-pile/caselaw_access_project_filtered) | Law | 17,254 | 329.5M | 19,096 | 15% | open (per doc, Common Pile) |
-| `rules` | [Andwwy/rules](https://huggingface.co/datasets/Andwwy/rules) | Agent files | 24,275 | 281.6M | 11,599 | 12% | per repository (unverified) |
-| `stackexchange` | [common-pile/stackexchange_filtered](https://huggingface.co/datasets/common-pile/stackexchange_filtered) | Q&A | 19,722 | 185.5M | 9,404 | 2% | open (per doc, Common Pile) |
-| `uk-hansard` | [common-pile/uk_hansard_filtered](https://huggingface.co/datasets/common-pile/uk_hansard_filtered) | Transcripts | 8,623 | 148.1M | 17,179 | 87% | open (per doc, Common Pile) |
-| `regulations` | [common-pile/regulations_filtered](https://huggingface.co/datasets/common-pile/regulations_filtered) | Government | 8,218 | 135.8M | 16,528 | 39% | open (per doc, Common Pile) |
-| `pressbooks` | [common-pile/pressbooks_filtered](https://huggingface.co/datasets/common-pile/pressbooks_filtered) | Textbooks | 5,368 | 45.7M | 8,504 | 4% | open (per doc, Common Pile) |
-| `skillmd` | [FayeZC/SkillMD-138K](https://huggingface.co/datasets/FayeZC/SkillMD-138K) | Agent files | 4,323 | 29.8M | 6,886 | 1% | per file (card: CC BY 4.0) |
-| `libretexts` | [common-pile/libretexts_filtered](https://huggingface.co/datasets/common-pile/libretexts_filtered) | Textbooks | 4,090 | 28.2M | 6,890 | 4% | open (per doc, Common Pile) |
-| `oercommons` | [common-pile/oercommons_filtered](https://huggingface.co/datasets/common-pile/oercommons_filtered) | Textbooks | 1,364 | 7.8M | 5,740 | 5% | open (per doc, Common Pile) |
-| `news` | [common-pile/news_filtered](https://huggingface.co/datasets/common-pile/news_filtered) | News | 1,130 | 2.8M | 2,471 | 0% | open (per doc, Common Pile) |
-| `peps` | [common-pile/python_enhancement_proposals_filtered](https://huggingface.co/datasets/common-pile/python_enhancement_proposals_filtered) | Tech docs | 586 | 2.6M | 4,395 | 0% | open (per doc, Common Pile) |
-| `public-domain-review` | [common-pile/public_domain_review_filtered](https://huggingface.co/datasets/common-pile/public_domain_review_filtered) | Essays | 412 | 1.1M | 2,589 | 0% | open (per doc, Common Pile) |
+| `finepdfs-edu` | [HuggingFaceFW/finepdfs-edu](https://huggingface.co/datasets/HuggingFaceFW/finepdfs-edu) | PDFs | 503,042 | 7.41B | 14,731 | 16% | ODC-By 1.0 |
+| `fineweb-edu` | [HuggingFaceFW/fineweb-edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu) | Web | 268,918 | 3.79B | 14,096 | 14% | ODC-By 1.0 |
+| `gutenberg` | [common-pile/project_gutenberg_filtered](https://huggingface.co/datasets/common-pile/project_gutenberg_filtered) | Books | 192,463 | 3.11B | 16,174 | 92% | open (per doc, Common Pile) |
+| `caselaw` | [common-pile/caselaw_access_project_filtered](https://huggingface.co/datasets/common-pile/caselaw_access_project_filtered) | Law | 237,961 | 2.93B | 12,323 | 6% | open (per doc, Common Pile) |
+| `usgpo` | [common-pile/usgpo_filtered](https://huggingface.co/datasets/common-pile/usgpo_filtered) | Government | 199,861 | 2.83B | 14,163 | 41% | open (per doc, Common Pile) |
+| `pes2o` | [common-pile/peS2o_filtered](https://huggingface.co/datasets/common-pile/peS2o_filtered) | Science | 218,957 | 2.35B | 10,719 | 1% | open (per doc, Common Pile) |
+| `youtube` | [common-pile/youtube_filtered](https://huggingface.co/datasets/common-pile/youtube_filtered) | Transcripts | 205,885 | 2.23B | 10,853 | 5% | open (per doc, Common Pile) |
+| `finewiki` | [HuggingFaceFW/finewiki](https://huggingface.co/datasets/HuggingFaceFW/finewiki) | Wikipedia | 187,828 | 1.87B | 9,972 | 6% | CC BY-SA 4.0 / GFDL |
+| `stack-edu` | [common-pile/stackv2_edu_filtered](https://huggingface.co/datasets/common-pile/stackv2_edu_filtered) | Code | 176,247 | 1.81B | 10,290 | 11% | open (per doc, Common Pile) |
+| `doab` | [common-pile/doab_filtered](https://huggingface.co/datasets/common-pile/doab_filtered) | Books | 151,801 | 1.76B | 11,565 | 43% | open (per doc, Common Pile) |
+| `pubmed` | [common-pile/pubmed_filtered](https://huggingface.co/datasets/common-pile/pubmed_filtered) | Science | 123,870 | 1.75B | 14,145 | 5% | open (per doc, Common Pile) |
+| `ar5iv` | [marin-community/ar5iv-no-problem-markdown](https://huggingface.co/datasets/marin-community/ar5iv-no-problem-markdown) | Science | 126,479 | 1.21B | 9,567 | 1% | arXiv (per paper) |
+| `stackexchange` | [common-pile/stackexchange_filtered](https://huggingface.co/datasets/common-pile/stackexchange_filtered) | Q&A | 96,246 | 573.6M | 5,959 | 1% | open (per doc, Common Pile) |
+| `rules` | [Andwwy/rules](https://huggingface.co/datasets/Andwwy/rules) | Agent files | 78,816 | 559.0M | 7,092 | 4% | per repository (unverified) |
+| `regulations` | [common-pile/regulations_filtered](https://huggingface.co/datasets/common-pile/regulations_filtered) | Government | 42,603 | 299.2M | 7,022 | 12% | open (per doc, Common Pile) |
+| `uk-hansard` | [common-pile/uk_hansard_filtered](https://huggingface.co/datasets/common-pile/uk_hansard_filtered) | Transcripts | 10,255 | 159.3M | 15,534 | 87% | open (per doc, Common Pile) |
+| `skillmd` | [FayeZC/SkillMD-138K](https://huggingface.co/datasets/FayeZC/SkillMD-138K) | Agent files | 26,832 | 104.1M | 3,880 | 0% | per file (card: CC BY 4.0) |
+| `pressbooks` | [common-pile/pressbooks_filtered](https://huggingface.co/datasets/common-pile/pressbooks_filtered) | Textbooks | 23,307 | 99.3M | 4,261 | 1% | open (per doc, Common Pile) |
+| `libretexts` | [common-pile/libretexts_filtered](https://huggingface.co/datasets/common-pile/libretexts_filtered) | Textbooks | 18,068 | 65.1M | 3,606 | 1% | open (per doc, Common Pile) |
+| `news` | [common-pile/news_filtered](https://huggingface.co/datasets/common-pile/news_filtered) | News | 6,404 | 11.3M | 1,764 | 0% | open (per doc, Common Pile) |
+| `oercommons` | [common-pile/oercommons_filtered](https://huggingface.co/datasets/common-pile/oercommons_filtered) | Textbooks | 2,045 | 9.0M | 4,401 | 3% | open (per doc, Common Pile) |
+| `peps` | [common-pile/python_enhancement_proposals_filtered](https://huggingface.co/datasets/common-pile/python_enhancement_proposals_filtered) | Tech docs | 597 | 2.6M | 4,342 | 0% | open (per doc, Common Pile) |
+| `public-domain-review` | [common-pile/public_domain_review_filtered](https://huggingface.co/datasets/common-pile/public_domain_review_filtered) | Essays | 425 | 1.1M | 2,554 | 0% | open (per doc, Common Pile) |
 
 ![Tokens by source](assets/tokens_by_source.png)
 
@@ -106,37 +110,37 @@ whole buckets. Rows are shuffled within each bucket.
 
 | Bucket (tokens) | Docs | Tokens | Largest sources |
 |---|---:|---:|---|
-| 1,024–2,047 | 19,988 | 29.3M | finepdfs-edu 12%, fineweb-edu 12%, ar5iv 8% |
-| 2,048–3,071 | 19,991 | 50.2M | finepdfs-edu 12%, fineweb-edu 12%, ar5iv 8% |
-| 3,072–4,095 | 19,984 | 70.9M | finepdfs-edu 13%, fineweb-edu 13%, ar5iv 8% |
-| 4,096–5,119 | 19,988 | 91.5M | finepdfs-edu 13%, fineweb-edu 13%, ar5iv 9% |
-| 5,120–6,143 | 19,991 | 111.9M | finepdfs-edu 13%, fineweb-edu 13%, ar5iv 9% |
-| 6,144–7,167 | 19,986 | 132.5M | finepdfs-edu 13%, fineweb-edu 13%, ar5iv 9% |
-| 7,168–8,191 | 19,987 | 153.0M | finepdfs-edu 13%, fineweb-edu 13%, ar5iv 9% |
-| 8,192–9,215 | 19,996 | 173.6M | finepdfs-edu 13%, fineweb-edu 13%, ar5iv 9% |
-| 9,216–10,239 | 19,990 | 194.0M | finepdfs-edu 13%, fineweb-edu 13%, ar5iv 9% |
-| 10,240–11,263 | 19,998 | 214.6M | finepdfs-edu 14%, fineweb-edu 14%, ar5iv 9% |
-| 11,264–12,287 | 19,993 | 235.0M | finepdfs-edu 14%, fineweb-edu 14%, ar5iv 9% |
-| 12,288–13,311 | 19,989 | 255.4M | finepdfs-edu 14%, fineweb-edu 14%, ar5iv 9% |
-| 13,312–14,335 | 19,991 | 276.0M | finepdfs-edu 14%, fineweb-edu 14%, ar5iv 9% |
-| 14,336–15,359 | 19,989 | 296.5M | finepdfs-edu 15%, fineweb-edu 15%, ar5iv 10% |
-| 15,360–16,383 | 19,991 | 317.0M | finepdfs-edu 15%, fineweb-edu 15%, ar5iv 10% |
-| 16,384–17,407 | 19,990 | 337.5M | finepdfs-edu 15%, fineweb-edu 15%, ar5iv 10% |
-| 17,408–18,431 | 19,995 | 358.1M | finepdfs-edu 15%, fineweb-edu 15%, ar5iv 10% |
-| 18,432–19,455 | 19,994 | 378.5M | finepdfs-edu 16%, fineweb-edu 16%, finewiki 10% |
-| 19,456–20,479 | 19,992 | 399.0M | finepdfs-edu 16%, fineweb-edu 16%, finewiki 11% |
-| 20,480–21,503 | 19,995 | 419.5M | finepdfs-edu 16%, fineweb-edu 16%, finewiki 11% |
-| 21,504–22,527 | 19,996 | 440.0M | finepdfs-edu 17%, fineweb-edu 17%, finewiki 10% |
-| 22,528–23,551 | 19,996 | 460.4M | finepdfs-edu 18%, fineweb-edu 18%, stack-edu 9% |
-| 23,552–24,575 | 19,997 | 481.0M | finepdfs-edu 18%, fineweb-edu 18%, pubmed 9% |
-| 24,576–25,599 | 19,996 | 501.5M | finepdfs-edu 19%, fineweb-edu 19%, pubmed 9% |
-| 25,600–26,623 | 19,995 | 521.9M | finepdfs-edu 20%, fineweb-edu 20%, pubmed 10% |
-| 26,624–27,647 | 19,998 | 542.5M | finepdfs-edu 21%, fineweb-edu 21%, pubmed 10% |
-| 27,648–28,671 | 19,997 | 563.0M | finepdfs-edu 22%, fineweb-edu 22%, pubmed 8% |
-| 28,672–29,695 | 19,996 | 583.4M | finepdfs-edu 23%, fineweb-edu 23%, doab 8% |
-| 29,696–30,719 | 19,999 | 604.1M | finepdfs-edu 25%, fineweb-edu 21%, doab 8% |
-| 30,720–31,743 | 19,999 | 624.5M | finepdfs-edu 27%, fineweb-edu 20%, doab 9% |
-| 31,744–32,768 | 19,998 | 644.4M | finepdfs-edu 30%, fineweb-edu 18%, doab 10% |
+| 1,024–2,047 | 181,815 | 267.6M | finepdfs-edu 11%, youtube 7%, doab 7% |
+| 2,048–3,071 | 175,913 | 442.1M | finepdfs-edu 11%, youtube 7%, doab 7% |
+| 3,072–4,095 | 168,537 | 597.8M | finepdfs-edu 12%, youtube 7%, pes2o 7% |
+| 4,096–5,119 | 163,934 | 750.3M | finepdfs-edu 12%, youtube 7%, pes2o 7% |
+| 5,120–6,143 | 156,021 | 874.0M | finepdfs-edu 12%, youtube 8%, pes2o 8% |
+| 6,144–7,167 | 150,453 | 997.3M | finepdfs-edu 13%, pes2o 8%, finewiki 8% |
+| 7,168–8,191 | 145,281 | 1.11B | finepdfs-edu 13%, pes2o 8%, finewiki 8% |
+| 8,192–9,215 | 138,793 | 1.21B | finepdfs-edu 14%, pes2o 9%, finewiki 9% |
+| 9,216–10,239 | 132,764 | 1.29B | finepdfs-edu 15%, pes2o 9%, finewiki 9% |
+| 10,240–11,263 | 128,323 | 1.38B | finepdfs-edu 15%, pes2o 9%, finewiki 9% |
+| 11,264–12,287 | 122,790 | 1.44B | finepdfs-edu 16%, pes2o 10%, caselaw 9% |
+| 12,288–13,311 | 116,125 | 1.48B | finepdfs-edu 17%, pes2o 10%, caselaw 10% |
+| 13,312–14,335 | 108,477 | 1.50B | finepdfs-edu 18%, pes2o 11%, caselaw 11% |
+| 14,336–15,359 | 101,146 | 1.50B | finepdfs-edu 19%, pes2o 12%, caselaw 11% |
+| 15,360–16,383 | 94,413 | 1.50B | finepdfs-edu 21%, pes2o 13%, caselaw 10% |
+| 16,384–17,407 | 87,287 | 1.47B | finepdfs-edu 22%, pes2o 11%, fineweb-edu 11% |
+| 17,408–18,431 | 80,895 | 1.45B | finepdfs-edu 24%, fineweb-edu 11%, caselaw 10% |
+| 18,432–19,455 | 74,480 | 1.41B | finepdfs-edu 25%, fineweb-edu 12%, caselaw 10% |
+| 19,456–20,479 | 69,031 | 1.38B | finepdfs-edu 26%, fineweb-edu 12%, caselaw 9% |
+| 20,480–21,503 | 63,576 | 1.33B | finepdfs-edu 27%, fineweb-edu 13%, gutenberg 9% |
+| 21,504–22,527 | 58,143 | 1.28B | finepdfs-edu 27%, fineweb-edu 13%, gutenberg 10% |
+| 22,528–23,551 | 52,913 | 1.22B | finepdfs-edu 27%, fineweb-edu 13%, gutenberg 11% |
+| 23,552–24,575 | 47,953 | 1.15B | finepdfs-edu 27%, fineweb-edu 14%, gutenberg 12% |
+| 24,576–25,599 | 44,071 | 1.11B | finepdfs-edu 27%, fineweb-edu 14%, gutenberg 13% |
+| 25,600–26,623 | 40,848 | 1.07B | finepdfs-edu 27%, fineweb-edu 14%, gutenberg 14% |
+| 26,624–27,647 | 38,131 | 1.03B | finepdfs-edu 27%, gutenberg 15%, fineweb-edu 13% |
+| 27,648–28,671 | 36,070 | 1.02B | finepdfs-edu 27%, gutenberg 16%, fineweb-edu 14% |
+| 28,672–29,695 | 33,614 | 980.8M | finepdfs-edu 27%, gutenberg 17%, fineweb-edu 14% |
+| 29,696–30,719 | 31,533 | 952.4M | finepdfs-edu 27%, gutenberg 17%, fineweb-edu 14% |
+| 30,720–31,743 | 29,855 | 932.3M | finepdfs-edu 27%, gutenberg 18%, fineweb-edu 14% |
+| 31,744–32,768 | 25,725 | 829.0M | finepdfs-edu 28%, gutenberg 19%, fineweb-edu 14% |
 
 </details>
 
@@ -151,10 +155,9 @@ whole buckets. Rows are shuffled within each bucket.
 3. **Length.** Every document is tokenized with the MiniCPM5-2B tokenizer. Documents of 1,024–32,768 tokens are kept
    whole. Longer documents (mostly books, theses and long reports) are cut into at most 6 consecutive segments at
    paragraph breaks. Each segment is sized for a random length bucket that still needs documents.
-4. **Balance.** Each source collects up to a fixed number of documents per bucket. The merge removes exact duplicates
-   and then fills each bucket to 20,000 documents. The split between sources follows fixed
-   weights (web, PDFs 3; Wikipedia, arXiv 2; Q&A, PubMed, code, agent files 1.5; smaller sources less). When a source
-   runs short, its share goes to the others.
+4. **Balance.** Each source collects up to a fixed number of documents per bucket (6,000; FinePDFs-Edu 12,000), so no
+   single source can dominate a bucket. The merge removes exact duplicates and keeps every remaining document; buckets
+   are not truncated, so balancing by length happens at load time.
 5. **Determinism.** Sources, files and rows are chosen with fixed seeds. Building again from the same Hub revisions
    gives the same IDs and nearly the same selection.
 

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