Update README.md

README.md

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----
-license: apache-2.0
----
+---
+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
+        dtype: dict
+      - name: toxicity
+        dtype: dict
+      - 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.