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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.
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