Add files using upload-large-folder tool

README.md

@@ -1,5 +1,186 @@
 ---
-license: cc-by-nc-nd-4.0
+pretty_name: docs1
+language:
+- en
+license: other
+task_categories:
+- text-generation
+size_categories:
+- 100K<n<1M
+tags:
+- long-context
+- documents
+- continual-learning
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/*/*.parquet
 ---
 
-# docs1: The dataset of high-quality, diverse, factual documents for in-context use
+# docs1
+
+**docs1** is AlphaQualia's base corpus of documents for in-context use. It contains factual, high-quality English
+documents of 1K–32K tokens, sorted into 31 length buckets of 1,024 [MiniCPM5-2B](https://huggingface.co/openbmb/MiniCPM5-2B)
+tokens each. It is the shared starting point for every downstream dataset (questions, reconstructions, tool tasks,
+teacher generations). Those datasets refer to documents by `id` and never copy them.
+
+| | |
+|---|---|
+| Documents | **619,785** |
+| Tokens (MiniCPM5-2B) | **10.46B** |
+| Length range | 1,024 – 32,768 tokens, 31 buckets |
+| Buckets at target (20,000 docs) | 31 of 31 |
+| Sources | 23 public Hub datasets |
+| Exact duplicates removed | 79,462 |
+| Version | v1 (stage 1: curation only), built 2026-10-14 |
+
+![Documents per length bucket](assets/docs_per_bucket.png)
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Everything (streams; about 10.46B tokens of text)
+ds = load_dataset("alpha-qualia/docs1", split="train", streaming=True)
+
+# One length bucket: 8,192–9,215 tokens
+ds = load_dataset("alpha-qualia/docs1", data_files="data/b07_8192-9215/*.parquet", split="train")
+
+# A length range, by exact token count
+ds = ds.filter(lambda r: 8500 <= r["length_tokens_minicpm"] <= 9000)
+```
+
+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.
+
+## Schema
+
+| Field | Type | Description |
+|---|---|---|
+| `id` | string (UUID) | Stable document ID: UUIDv5 of `source repo : source row id` (plus the character span for segments). A rebuild gives the same IDs. |
+| `created_at` | timestamp (UTC) | When the document was added to docs1. |
+| `source_type` | string | The Hub dataset it came from (e.g. `HuggingFaceFW/finepdfs-edu`), or `original` for documents we write (later stages). |
+| `metadata` | string (JSON) | Source fields such as `url`, `title`, `license`, `repo`, `path`, plus `source_file`. Segments add `parent_id`, `segment`, `char_span`. |
+| `content` | string | The document text, unchanged except for segment cuts. |
+| `length_tokens_minicpm` | int32 | Exact token count with the MiniCPM5-2B tokenizer (no special tokens). |
+| `tags` | list[string] | Labels added by later stages, e.g. `uhq` (top-quality subset), `synthetic`, `augmented`. Empty in v1. Filter with `"uhq" in r["tags"]`. |
+
+## Composition
+
+| 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) |
+
+![Tokens by source](assets/tokens_by_source.png)
+
+![Source mix across lengths](assets/source_mix.png)
+
+<details>
+<summary>Per-bucket counts</summary>
+
+| 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% |
+
+</details>
+
+## Construction
+
+1. **Sources.** Datasets that are already curated and trusted: FineWeb-Edu, FinePDFs-Edu, FineWiki, ar5iv, the openly
+   licensed [Common Pile v0.1](https://huggingface.co/common-pile) subsets (papers, books, textbooks, Q&A, government,
+   law, transcripts, educational code), and agent instruction files (`Andwwy/rules`, SkillMD).
+2. **Filters.** Source-level quality filters only: FinePDFs-Edu not truncated and without near-duplicates
+   (`minhash_cluster_size == 1`); Stack-Edu code with edu score ≥ 3; agent files mostly Latin script and with no
+   credential patterns.
+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.
+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.
+
+## Limitations
+
+- **Long buckets are less diverse.** Natural documents over ~16K tokens are rare outside PDFs, papers and books, so
+  those categories dominate the long end. Later stages add synthetic long documents.
+- **Not decontaminated** against any benchmark. Check overlap before using docs1 near an evaluation set.
+- **Novelty varies.** Wikipedia and famous texts are likely known to the base model; papers, PDFs and agent files much
+  less so.
+- **Mixed licenses.** Each document keeps its source license (see `metadata.license` where present). This repository
+  is private, for research use.
+- **English only**, by source selection (no language filter on Common Pile subsets beyond their own).
+
+## Roadmap
+
+- **Stage 2, original documents:** newly scraped material (recent docs, repositories, papers) and model-written
+  documents aimed at specific length buckets (`source_type = "original"`).
+- **Stage 3, augmented documents:** model-made variants of docs1 documents, from small factual edits to style changes.
+  Each records `metadata.parent_id`.
+
+## Reproduce
+
+```bash
+# Stage 1: one CPU job per source group (8 in parallel)
+uv run gpu --provider aws --region us-east-1 sagemaker submit datasets/docs1/collect.sh --instance ml.c6i.32xlarge --name aq-docs1-<group>
+# Stage 2: merge, card, publish
+uv run gpu --provider aws --region us-east-1 sagemaker submit datasets/docs1/merge.sh --instance ml.r6i.16xlarge --name aq-docs1-merge
+```
+
+Code: `datasets/docs1/` in the AlphaQualia repository.

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