Add README

README.md

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+---
+license: apache-2.0
+language:
+- en
+task_categories:
+- text-generation
+tags:
+- pretraining-data
+- data-curation
+- web-scraping
+size_categories:
+- 10M<n<100M
+---
+
+# ReScraper-Data
+
+Data released with ReScraper, a 0.6B refiner that replaces the heuristic HTML-to-text stack of a
+pretraining data pipeline with a single small language model.
+
+- **Model:** [`cx-cmu/ReScraper`](https://huggingface.co/cx-cmu/ReScraper)
+- **Code:** [`cxcscmu/ReScraper`](https://github.com/cxcscmu/ReScraper)
+
+All four subsets come from the same source pool: the 10% raw-HTML sample of the DCLM pool
+(`dclm-pool-400m-1x-html-jsonl-step3a-10pct`), 18,025,558 pages over 10,319 shards.
+
+## Subsets
+
+| Path | Rows | Size | What it is |
+|---|---:|---:|---|
+| `data/ReScraper-Corpus/` | 10,056,105 | 12.4 GB | The curated pretraining corpus: model output after the post-filter and Bloom-filter deduplication. 7.44B GPT-NeoX-20B tokens. |
+| `data/ReScraper-Pool-Output/` | 10,646,236 | 13.3 GB | The refiner's raw output over the whole pool, before deduplication. Use this to study the model's behaviour page by page. |
+| `data/ReScraper-SFT-Stage1/` | 1,383,115 | 3.9 GB | Stage 1 training set: extraction plus the operation decision. |
+| `data/ReScraper-SFT-Stage2/` | 131,484 | 0.4 GB | Stage 2 training set, which upweights `<rewrite>` so the model learns that operation. |
+
+Files are Parquet, split into roughly 1 GB parts named
+`<subset>-en-part-XXXX-of-YYYY.parquet`.
+
+## Schema
+
+**Corpus and pool output**
+
+| Field | Type | Meaning |
+|---|---|---|
+| `text` | string | the cleaned page |
+| `operation` | string | the operation the model chose: `<keep>`, `<edit>` or `<rewrite>` (deleted pages are not materialized) |
+| `bff_contained_ngram_count_before_dedupe` | int | deduplication bookkeeping (corpus only) |
+
+**SFT sets**
+
+| Field | Type | Meaning |
+|---|---|---|
+| `input` | string | the rendered page, one block per line with `<lid:n>` line ids |
+| `output` | string | the target program: an `<extract>` block of line removals followed by the operation tag |
+
+## Loading
+
+```python
+from datasets import load_dataset
+
+corpus = load_dataset("cx-cmu/ReScraper-Data", data_dir="data/ReScraper-Corpus", split="train")
+sft    = load_dataset("cx-cmu/ReScraper-Data", data_dir="data/ReScraper-SFT-Stage1", split="train")
+```
+
+To reproduce pretraining, tokenize the corpus with the GPT-NeoX-20B tokenizer; the code
+repository has the tokenization and pretraining scripts.
+
+## License
+
+Apache 2.0. The underlying pages come from Common Crawl via the DCLM pool and keep their
+original terms.