AI4Chem/ChemData700K
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… See the full description on the dataset page: https://huggingface.co/datasets/AI4Chem/ChemData700K.
| Author / organization | AI4Chem |
|---|---|
| License (as declared) | mit |
| Downloads | 309 (as reported by Hugging Face) |
| Likes | 35 |
| Created | 22 April 2024 |
| Last updated at source | 24 April 2024 |
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- 16 Oct 2026 Description: 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. → 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.
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