| --- |
| pretty_name: FineWeb2 Multilingual CLT Entropy Evaluation Data |
| language: |
| - ar |
| - zh |
| - ja |
| - ko |
| task_categories: |
| - text-generation |
| size_categories: |
| - 1M<n<10M |
| --- |
| |
| # FineWeb2 multilingual CLT entropy evaluation data |
|
|
| This dataset contains held-out token sequences used to measure multilingual |
| feature entropy for `CausalNLP/multilingual_gpt2-clt-ar-zh-ko-ja`. |
|
|
| ## Construction |
|
|
| - Source: `HuggingFaceFW/fineweb-2` |
| - Source revision: `af9c13333eb981300149d5ca60a8e9d659b276b9` |
| - Tokenizer: `CausalNLP/gpt2-ar-zh-ko-ja-120k` |
| - Languages/configurations: `arb_Arab`, `cmn_Hani`, `jpn_Jpan`, `kor_Hang` |
| - The first 200,000,000 tokenizer tokens of each language were skipped. |
| - The following 1,000,000 tokens per language were retained. |
| - Each row contains one complete 16-token sequence. |
| - There are 62,500 rows per language and 4,000,000 retained tokens in total. |
|
|
| The Parquet files contain `input_ids`, `language`, `source_id`, and |
| `document_token_start`. See `manifest.json` and the per-language manifests for |
| the exact construction parameters and source-stream counts. |
|
|
| This dataset preserves token IDs rather than decoded text so that the entropy |
| evaluation is reproducible with the exact tokenizer used for the CLT. |
|
|
|
|
