Table · dataset · 2024
AI4Chem/ChemData700K
Listed in Hugging Face Datasets
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. 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… See the full description on the dataset page: huggingface.co/datasets/AI4Chem/ChemData700K.
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/AI4Chem/ChemData700K ↗
landing page · from Hugging Face
Documentation and papers
- arXiv:2402.06852 arxiv.org/abs/2402.06852 ↗
publication · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/AI4Chem/ChemData700K ↗
metadata API · from Hugging Face
Topics
- Stated by source
- text
- From keywords
- Computer Science & AI
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | AI4Chem/ChemData700K | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · Hugging Face | connector:huggingface@1.0.0 | /gated |
| concepts[field].local:field:computer-science-ai | mapping · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[modality].hf_modality:text | source · Hugging Face | connector:huggingface@1.0.0 | |
| created_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| description | source · Hugging Face | connector:huggingface@1.0.0 | /description |
| license | source · Hugging Face | connector:huggingface@1.0.0 | /tags[license:*] |
| publication_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| title | source · Hugging Face | connector:huggingface@1.0.0 | /id |
| updated_date | source · Hugging Face | connector:huggingface@1.0.0 |