---
license: apache-2.0
task_categories:
  - text-generation
language:
  - zh
pretty_name: ChineseWebText2.0-HighQuality
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/*
    features:
      - name: text
        dtype: string
      - name: domain
        struct:
          - name: single_label
            dtype: string
          - name: multi_label
            sequence:
              dtype: string
      - name: toxicity
        struct:
          - name: label
            dtype: int32
          - name: score
            dtype: float64
      - name: quality_score
        dtype: float64
---

# 📘 **ChineseWebText2.0-HighQuality**

## **Overview**

ChineseWebText2.0-HighQuality is a **high-quality filtered subset** of the original
**CASIA-LM/ChineseWebText2.0** dataset (Apache-2.0 License).

This subset retains only samples with:

* **quality_score ≥ 0.9**
* **toxicity.score ≤ 0.01**

The goal is to provide a cleaner and more reliable dataset suitable for
language model **pre-training**, **instruction tuning**, and **quality-sensitive downstream tasks**.

This work is **independent** and **not affiliated** with the official CASIA-LM / ChineseWebText maintainers.

---

## **Key Features**

* ✔ **Derived from ChineseWebText2.0 (Apache-2.0 License)**
* ✔ **Quality-filtered using quality_score ≥ 0.9**
* ✔ **Safety-filtered using toxicity.score ≤ 0.01**
* ✔ **Light text cleaning: filters non-standard characters**
* ✔ **Retains original metadata schema (domain/toxicity/quality_score)**
* ✔ **Suitable for LLM pretraining and mixture construction**

---

## **Dataset Construction**

### **Source Dataset**

* **CASIA-LM/ChineseWebText2.0**
* License: **Apache-2.0**

### **Filtering Rule**

```
quality_score >= 0.9 and toxicity.score <= 0.01
```

### **Processing Notes**

* The text is lightly cleaned by filtering non-standard characters.
* Only samples failing the thresholds are removed.
* No rewriting, deduplication, or translation has been applied in this derived subset.
* The dataset retains the original metadata schema.

---

## **Use Cases**

### **Recommended**

* Pretraining decoder/encoder–decoder language models
* Quality-sensitive mixture construction
* Safety-sensitive data distillation
* Domain-specific filtering based on the retained domain labels

### **Not Recommended**

* Research requiring the unchanged distribution of the full ChineseWebText2.0 corpus
* Studies that explicitly need toxic/low-quality tails for robustness evaluation

---

## **License**

This dataset is distributed under:

* **Apache License 2.0** (same as the source dataset)

The original license and attribution to the source dataset creators are preserved.

---

## **Citation**

If you use this dataset, please cite:

```
@misc{chinesewebtext2_highquality,
  title  = {ChineseWebText2.0-HighQuality: A High-Quality Subset of ChineseWebText2.0},
  author = {Morton Li},
  year   = {2026},
  note   = {Derived from CASIA-LM/ChineseWebText2.0 (Apache-2.0 License)}
}
```

---

## **Acknowledgements**

Special thanks to the creators of:

* **ChineseWebText2.0 (CASIA-LM)**

Their open dataset and toolchain enable high-quality Chinese web corpora research for the community.