Update README.md

README.md

@@ -71,3 +71,25 @@ configs:
   - split: test_sft
     path: data/test_sft-*
 ---
+# COIG-CQIA-sft: COIG-CQIA for sft in alignment-handbook
+
+数据完全来自于[COIG-CQIA](https://huggingface.co/datasets/m-a-p/COIG-CQIA)。
+
+暂时忽略了chinese_traditional，coig_pc，exam，finance这些转换麻烦或者语义上不适合当QA数据集的subset。
+其中train_sft是全集，test_sft是ruozhiba，以便代码能够跑通。
+
+经过reformat的本数据集可以直接使用[alignment-handbook](https://github.com/huggingface/alignment-handbook) 进行sft。
+
+可以使用[zephyr-7b-beta/sft/config_qlora.yaml](https://github.com/huggingface/alignment-handbook/blob/main/recipes/zephyr-7b-beta/sft/config_qlora.yaml)进行尝试，模型和数据集都可以使用本地文件夹。
+
+
+```bibtex
+@misc{bai2024coig,
+    title={COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning}, 
+    author={Bai, Yuelin and Du, Xinrun and Liang, Yiming and Jin, Yonggang and Liu, Ziqiang and Zhou, Junting and Zheng, Tianyu and Zhang, Xincheng and Ma, Nuo and Wang, Zekun and others},
+    year={2024},
+    eprint={2403.18058},
+    archivePrefix={arXiv},
+    primaryClass={cs.CL}
+  }
+```