| --- |
| license: other |
| license_name: per-source |
| license_link: https://github.com/maxgfr/skycmd/blob/main/DATA_LICENSES.md |
| language: |
| - en |
| - fr |
| pretty_name: skycmd pretraining text and tokenizers |
| task_categories: |
| - fill-mask |
| tags: |
| - skycmd |
| configs: |
| - config_name: dolma3_finemath |
| data_files: data/dolma3_finemath.parquet |
| - config_name: dolma3_science_pdfs |
| data_files: data/dolma3_science_pdfs.parquet |
| - config_name: dolma3_wiki_en |
| data_files: data/dolma3_wiki_en.parquet |
| - config_name: fineweb2_fr |
| data_files: data/fineweb2_fr.parquet |
| - config_name: fineweb_edu |
| data_files: data/fineweb_edu.parquet |
| - config_name: simplestories |
| data_files: data/simplestories.parquet |
| - config_name: tinystories |
| data_files: data/tinystories.parquet |
| - config_name: tinystories_fr |
| data_files: data/tinystories_fr.parquet |
| - config_name: txt360_europarl_fr |
| data_files: data/txt360_europarl_fr.parquet |
| - config_name: txt360_pg19 |
| data_files: data/txt360_pg19.parquet |
| - config_name: txt360_stackexchange |
| data_files: data/txt360_stackexchange.parquet |
| --- |
| |
| # skycmd pretraining text and tokenizers |
|
|
| The text of skycmd's masked-language-model pretraining (s1 to s6), English and French, and the tokenizers trained on it. `data/text` is read by every model; `data/text-open` (non-web parts of Dolma 3 and TxT360) is read first by the s6 models. |
|
|
| Part of [skycmd](https://github.com/maxgfr/skycmd), tiny decision models trained from scratch in Rust that run in the |
| browser. Written by `sky-data fetch-text and sky-data fetch-text --set open (scripts/prepare-data.sh)` at commit [`84c6d854`](https://github.com/maxgfr/skycmd/commit/84c6d854cdc2a9f6d951ebb55780060a01f38ca6). |
| Licences of every set: [DATA_LICENSES.md](https://github.com/maxgfr/skycmd/blob/main/DATA_LICENSES.md). |
|
|
| Each row is one document: `src` (the source) and `text`. All of it is deduplicated exactly and with |
| MinHash/LSH (word 5-grams, Jaccard >= 0.8). The tokenizers trained on it are in `tokenizers/` |
| (`sky-data train-tokenizer --vocab N --num`). |
|
|
| ## Sources and licences |
|
|
| Each config is one source and keeps **its source's licence** (share-alike sources stay share-alike). |
| Attribution goes to the upstream authors; the conversion is ours. |
|
|
| | config | upstream | licence | how it is used | rows | |
| |---|---|---|---|---:| |
| | `dolma3_finemath` | allenai/dolma3_mix-150B-1025 `data/finemath-3plus` | odc-by (FineMath, Dolma 3) and CommonCrawl's terms of use | shard `00000000`, exact duplicates dropped | 4,354 | |
| | `dolma3_science_pdfs` | allenai/dolma3_mix-150B-1025 `data/olmocr_science_pdfs-science_math_and_technology` | odc-by (Dolma 3); the PDFs keep their authors' rights, see the Dolma 3 card | shard `00000000`, olmOCR transcriptions | 1,517 | |
| | `dolma3_wiki_en` | allenai/dolma3_mix-150B-1025 `data/dolma1_7-wiki-en` | odc-by (Dolma 3); Wikipedia and Wikibooks text CC-BY-SA-4.0 / GFDL | shard `00000000` | 2,489 | |
| | `fineweb2_fr` | HuggingFaceFW/fineweb-2 (`fra_Latn`, shard `train/000_00000`) | odc-by (and CommonCrawl's terms of use) | first row groups, 34 MB | 11,010 | |
| | `fineweb_edu` | HuggingFaceFW/fineweb-edu (`sample/10BT`, shard `000_00000`) | odc-by (and CommonCrawl's terms of use) | first row groups, 37.5 MB | 9,002 | |
| | `simplestories` | SimpleStories/SimpleStories | mit | `story` column, first row groups of train, 30 MB | 24,248 | |
| | `tinystories` | roneneldan/TinyStories | cdla-sharing-1.0 | `text` column, first row groups of train, 30 MB | 33,400 | |
| | `tinystories_fr` | btecsec/tinystories-fr | cdla-sharing-1.0 | French `text`, whole train split | 20,000 | |
| | `txt360_europarl_fr` | IFM/TxT360 `data/europarl` (French rows) | odc-by (TxT360); European Parliament proceedings, reuse authorised with acknowledgement | up to 8 pieces per session, 15 MB | 873 | |
| | `txt360_pg19` | IFM/TxT360 `data/pg19` | odc-by (TxT360); the books are public domain (Project Gutenberg) | up to 8 pieces of 20,000 characters per book | 1,140 | |
| | `txt360_stackexchange` | IFM/TxT360 `data/stackexchange` | odc-by (TxT360); Stack Exchange posts CC-BY-SA | one shard, 15 MB | 4,638 | |
|
|
| ## Files |
|
|
| | file | rows | |
| |---|---:| |
| | `data/dolma3_finemath.parquet` | 4,354 | |
| | `data/dolma3_science_pdfs.parquet` | 1,517 | |
| | `data/dolma3_wiki_en.parquet` | 2,489 | |
| | `data/fineweb2_fr.parquet` | 11,010 | |
| | `data/fineweb_edu.parquet` | 9,002 | |
| | `data/simplestories.parquet` | 24,248 | |
| | `data/tinystories.parquet` | 33,400 | |
| | `data/tinystories_fr.parquet` | 20,000 | |
| | `data/txt360_europarl_fr.parquet` | 873 | |
| | `data/txt360_pg19.parquet` | 1,140 | |
| | `data/txt360_stackexchange.parquet` | 4,638 | |
| | `tokenizers/tok-s2-1024.json` | — | |
| | `tokenizers/tok-s6-2048.json` | — | |
| | `tokenizers/tok-s6-4096.json` | — | |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("maxgfr/skycmd-text", "dolma3_finemath") |
| ``` |
|
|
| skycmd wrote no row with a language model: the targets come from the upstream labels (some upstream |
| sets carry their own teacher soft labels, see their cards), the games' oracles or our generators. |
|
|
| TinyStories, TinyStories-fr and SimpleStories are synthetic stories written by language models upstream (see their cards); skycmd generated none of this text. |
|
|
