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Datasets:
AdaMLLab
/
KorMix

Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
Korean
Size:
100M - 1B
ArXiv:
Libraries:
Datasets
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Polars
License:
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1
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The dataset viewer is not available for this dataset.
The JWT signature verification failed. Check the signing key and the algorithm.
Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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MixMinMatch Collection

KorMix (https://arxiv.org/abs/2512.18834) is a Korean pretraining corpus built by combining five publicly available Korean datasets, applying Korean-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/KorMix", "minhash_deduped")
ds = load_dataset("AdaMLLab/KorMix", "quality_filtered")
ds = load_dataset("AdaMLLab/KorMix", "matched")

Sources

  • FineWeb-2 (HuggingFaceFW/fineweb-2, kor_Hang)
  • HPLT 2.0 (HPLT/HPLT2.0_cleaned, kor_Hang)
  • CulturaX (uonlp/CulturaX, ko)
  • C4 (allenai/c4, ko)
  • FinePDFs (HuggingFaceFW/finepdfs, kor_Hang)

Pipeline

  1. Quality filtering with Korean-specific thresholds (Hangul script ratio, no-space-language adjustments for word-level metrics, repetition patterns)
  2. Document-level MinHash deduplication (5-gram shingles, 14 bands, 8 hashes per band, similarity threshold 0.8)
  3. 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.
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Collection including AdaMLLab/KorMix

Paper for AdaMLLab/KorMix