---
license: odc-by
---

Chinese text cleaned from [C4](https://huggingface.co/datasets/allenai/c4) with the following steps:

- documents containing non-Chinese, non-English text are removed
- documents containing more than 30% English text are removed
- all text in Traditional Chinese is converted into Simplified Chinese using [zhconv](https://github.com/gumblex/zhconv)
- low-quality text (e.g. boilerplates, advertisements) are heuristically removed

### statistics

Number of samples: 32,485,463.

Size of parquet files: 61G.

### Filtered Version

Model-filtered version in the filter branch, including 16,751,263 samples (33G parqeut files). 

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.