AI4Chem/ChemPref-DPO-for-Chemistry-data-en

--- dataset_info: features: - name: instruction dtype: string - name: output sequence: string - name: input dtype: string - name: history sequence: 'null' splits: - name: train num_bytes: 30375810 num_examples: 10703 download_size: 13847446 dataset_size: 30375810 configs: - config_name: default data_files: - split: train path: data/train-* license: mit task_categories: - text-generation - question-answering language: - en tags: - chemistry --- ## 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 Hansen Zhong and Yuqiang Li and Wanli Ouyang}, year={2024}, eprint={2402.06852}, archivePrefix={arXiv}, primaryClass={cs.AI} } ```

原始信息汇总

数据集信息

特征

• 名称: instruction
  • 数据类型: string
• 名称: output
  • 序列类型: string
• 名称: input
  • 数据类型: string
• 名称: history
  • 序列类型: null

分割

• 名称: train
  • 字节数: 30375810
  • 样本数: 10703

大小

• 下载大小: 13847446
• 数据集大小: 30375810

配置

• 配置名称: default
  • 数据文件:
    • 分割: train
    • 路径: data/train-*

许可证

• 许可证: mit

任务类别

• 文本生成
• 问答

语言

• 语言: en

标签

• 化学