Datasets:

AdaMLLab
/

ThaMix

language:
  - th
license: other
task_categories:
  - text-generation
arxiv: 2512.18834
configs:
  - config_name: minhash_deduped
    data_files:
      - split: train
        path: minhash_deduped/**/*.parquet
  - config_name: quality_filtered
    data_files:
      - split: train
        path: quality_filtered/**/*.parquet
  - config_name: matched
    data_files:
      - split: train
        path: consensus/*.parquet
default: minhash_deduped

ThaMix (https://arxiv.org/abs/2512.18834) is a Thai pretraining corpus built by combining seven publicly available Thai datasets, applying Thai-specific quality filtering, and performing cross-dataset deduplication.

Subsets

Subset	Description
`quality_filtered`	Quality-filtered data before deduplication
`minhash_deduped`	Document-level MinHash deduplication
`matched`	Documents appearing in 2+ source datasets

The matched subset uses cross-dataset agreement as a signal for quality.

Usage

from datasets import load_dataset

ds = load_dataset("AdaMLLab/ThaMix", "minhash_deduped")
ds = load_dataset("AdaMLLab/ThaMix", "quality_filtered")
ds = load_dataset("AdaMLLab/ThaMix", "matched")

Sources

FineWeb-2 (HuggingFaceFW/fineweb-2, tha_Thai)
HPLT 2.0 (HPLT/HPLT2.0_cleaned, tha_Thai)
CulturaX (uonlp/CulturaX, th)
C4 (allenai/c4, th)
SEA CommonCrawl (sailor2/sea-commoncrawl, thai)
FinePDFs (HuggingFaceFW/finepdfs, tha_Thai)
SEA-LION Pile v2 (aisingapore/SEA-PILE-v2, th)

Pipeline

Quality filtering with Thai-specific thresholds (Thai script ratio, repetition patterns, line quality)
Document-level MinHash deduplication (5-gram shingles, 14 bands, 8 hashes per band, similarity threshold 0.8)
Cross-source matching to identify documents appearing in 2+ independent sources

Citation

@misc{alrashed2025mixminmatch,
      title={Mix, MinHash, and Match: Cross-Source Agreement for Multilingual Pretraining Datasets},
      author={Sultan Alrashed and Francesco Orabona},
      year={2025},
      eprint={2512.18834v2},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2512.18834v2},
}

License

See individual source dataset licenses.