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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
---
<p align="center">
<a href="https://huggingface.co/collections/AdaMLLab/mixminmatch">
<img src="https://img.shields.io/badge/🤗_Collection-MixMinMatch-blue" alt="MixMinMatch Collection">
</a>
</p>
ThaMix ([https://arxiv.org/abs/2512.18834](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
```python
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
1. Quality filtering with Thai-specific thresholds (Thai script ratio, repetition patterns, line quality)
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
```bib
@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.
|