Datasets:

CausalNLP
/

entropy-ko-jp-data

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.