{
 "id": "BASF-AI/ChEmbed-Training",
 "owner": "BASF-AI",
 "name": "ChEmbed-Training",
 "downloads": 53,
 "likes": 0,
 "last_modified": "2026-08-28T00:29:21.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": "mixed-per-subset",
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-retrieval"
 ],
 "citation": "@misc{shiraeekasmaee2025chembed,\n  title         = {ChEmbed: Enhancing Chemical Literature Search Through\n                   Domain-Specific Text Embeddings},\n  author        = {Ali Shiraee Kasmaee and Mohammad Khodadad and\n                   Mehdi Astaraki and Mohammad Arshi Saloot and\n                   Nicholas Sherck and Hamidreza Mahyar and Soheila Samiee},\n  year          = {2025},\n  eprint        = {2508.01643},\n  archivePrefix = {arXiv},\n  primaryClass  = {cs.IR},\n  url           = {https://arxiv.org/abs/2508.01643}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "0634129a57ea87c8ab84f690563b30f0f213d0fd",
 "stated_evidence": "https://huggingface.co/datasets/BASF-AI/ChEmbed-Training/blob/0634129a57ea87c8ab84f690563b30f0f213d0fd/README.md",
 "file_evidence": "https://huggingface.co/datasets/BASF-AI/ChEmbed-Training/tree/0634129a57ea87c8ab84f690563b30f0f213d0fd",
 "card_nc": false
}