Update README.md

README.md

@@ -1,3 +1,56 @@
----
-license: cc-by-sa-3.0
----
+---
+license: cc-by-sa-3.0
+language: zh
+tags:
+  - information-retrieval
+  - question-answering
+  - chinese
+  - wikipedia
+  - open-domain-qa
+pretty_name: DRCD for Information Retrieval (Simplified Chinese)
+dataset_info:
+  features:
+    - name: corpus
+      type: jsonl
+    - name: queries
+      type: jsonl
+    - name: qrels
+      type: jsonl
+  splits:
+    - name: train
+    - name: dev
+    - name: test
+---
+
+# DRCD for Information Retrieval (Simplified Chinese)
+
+This dataset is a reformatted version of the [Delta Reading Comprehension Dataset (DRCD)](https://github.com/DRCKnowledgeTeam/DRCD), converted to Simplified Chinese and adapted for information retrieval (IR) tasks.
+
+## Summary
+
+The dataset transforms the original DRCD QA data into a passage retrieval setup commonly used in open-domain question answering. It is suitable for training and evaluating sparse/dense retrievers such as BM25, DPR, or ColBERT.
+
+## Key Features
+
+- 🔤 **Language**: Simplified Chinese (converted from Traditional)
+- 📚 **Domain**: General Wikipedia
+- 🔍 **Use Cases**: Passage retrieval, open-domain QA, reranking, dense/sparse IR
+
+## License
+The dataset is distributed under the Creative Commons Attribution-ShareAlike 3.0 License (CC BY-SA 3.0). You must give appropriate credit and share any derivative works under the same terms.
+
+## Citation
+If you use this dataset, please also consider citing the original DRCD paper:
+
+```graphql
+@inproceedings{shao2018drcd,
+  title={DRCD: a Chinese machine reading comprehension dataset},
+  author={Shao, Chih-Chieh and Chang, Chia-Hsuan and others},
+  booktitle={Proceedings of the Workshop on Machine Reading for Question Answering},
+  year={2018}
+}
+```
+
+## Acknowledgments
+- Original data provided by Delta Research Center.
+- This project performed format adaptation and Simplified Chinese conversion for IR use cases.