{
 "id": "liuganghuggingface/moldata-herg_karim",
 "owner": "liuganghuggingface",
 "name": "moldata-herg_karim",
 "downloads": 116,
 "likes": 0,
 "last_modified": "2026-10-30T18:20:11.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": "not-verified",
 "licence_link": "https://tdcommons.ai/single_pred_tasks/tox/",
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "tabular-classification"
 ],
 "citation": "Cite the original study and data source:\n\n- [Karim et al. CardioTox net: a robust predictor for hERG channel blockade based on deep learning meta-feature ensembles (2021)](https://doi.org/10.1186/s13321-021-00541-z)\n- [[1] Karim, A., et al. CardioTox net: a robust predictor for hERG channel blockade based on deep learning meta-feature ensembles. J Cheminform 13, 60 (2021).](https://tdcommons.ai/single_pred_tasks/tox/#herg-karim-et-al)\n- [Huang et al. Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development (NeurIPS 2021)](https://proceedings.neurips.cc/paper/2021/hash/4c5bcfec8584af0d967f1ab10179ca4b-Abstract.html)\n- [TDC herg_karim task, original study references and recommended evaluation](https://tdcommons.ai/single_pred_tasks/tox/#herg-karim-et-al)",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "17c38102b7b599b3e9d81e5a1d0ddfecfdec6826",
 "stated_evidence": "https://huggingface.co/datasets/liuganghuggingface/moldata-herg_karim/blob/17c38102b7b599b3e9d81e5a1d0ddfecfdec6826/README.md",
 "file_evidence": "https://huggingface.co/datasets/liuganghuggingface/moldata-herg_karim/tree/17c38102b7b599b3e9d81e5a1d0ddfecfdec6826",
 "card_nc": false
}