Update README.md

README.md

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-license: odc-by
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-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.
+---
+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.