Duplicate from AI4Chem/ChemData700K

Co-authored-by: Di Zhang <di-zhang-fdu@users.noreply.huggingface.co>

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README.md

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+---
+dataset_info:
+  features:
+  - name: input
+    dtype: string
+  - name: history
+    sequence:
+      sequence: string
+  - name: instruction
+    dtype: string
+  - name: output
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 493758017
+    num_examples: 726776
+  download_size: 268572534
+  dataset_size: 493758017
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+license: mit
+---
+
+
+## Introduction
+
+ChemData is a large-scale chemistry competency instruction tuning dataset for language models, which includes nine chemistry core tasks and 730K high-quality questions and answers, sampled from 1/10 of 7 million pieces of data.
+
+ChemData是一个包含了九项化学核心任务，730K个高质量问答的大语言模型化学能力指令微调数据集,采样自七百万条数据的1/10.
+
+
+
+
+## Citation
+
+```
+@misc{zhang2024chemllm,
+      title={ChemLLM: A Chemical Large Language Model}, 
+      author={Di Zhang and Wei Liu and Qian Tan and Jingdan Chen and Hang Yan and Yuliang Yan and Jiatong Li and Weiran Huang and Xiangyu Yue and Dongzhan Zhou and Shufei Zhang and Mao Su and Han-Sen Zhong and Yuqiang Li and Wanli Ouyang},
+      year={2024},
+      eprint={2402.06852},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI}
+}
+```
+

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