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--- |
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license: odc-by |
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--- |
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Chinese text cleaned from [C4](https://huggingface.co/datasets/allenai/c4) with the following steps: |
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- documents containing non-Chinese, non-English text are removed |
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- documents containing more than 30% English text are removed |
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- all text in Traditional Chinese is converted into Simplified Chinese using [zhconv](https://github.com/gumblex/zhconv) |
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- low-quality text (e.g. boilerplates, advertisements) are heuristically removed |
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### statistics |
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Number of samples: 32,485,463. |
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Size of parquet files: 61G. |
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### Filtered Version |
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Model-filtered version in the filter branch, including 16,751,263 samples (33G parqeut files). |
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Qwen2.5-32B-Instruct is used to generate language quality annotation (on a scale of 1-5) for 398K Chinese samples and 250K English samples. An XLM-RoBERT-large classifier is trained with regression on these annotations. Any document receiving a score of 1 or 2 from the classifier is removed. The remaining documents are also accompanied by their scores. |
