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liuganghuggingface/moldata-m1_muscarinic_receptor_antagonists_butkiewicz

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The checks could not identify a recognised licence ID in the dataset's metadata.

Declared licence: other, from the tagEvidence: README.md at d7fec55
Licence name on the card: not-verified, link: https://tdcommons.ai/single_pred_tasks/hts/Evidence: README.md at d7fec55
Licence files: No licence file at the top level of the repositoryEvidence: file list at d7fec55
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

tabular-classification

Citation text from the card

Cite the original study and data source:

- [[1] Butkiewicz, Mariusz, et al. “Benchmarking ligand-based virtual High-Throughput Screening with the PubChem database.” Molecules 18.1 (2013): 735-756. [2] Kim, Sunghwan, et al. “PubChem 2019 update: improved access to chemical data.” Nucleic acids research 47.D1 (2019): D1102-D1109. [3] Butkiewicz, Mariusz, et al. “High-throughput screening assay datasets from the pubchem database.” Chemical informatics (Wilmington, Del.) 3.1 (2017).](https://tdcommons.ai/single_pred_tasks/hts/#butkiewicz-et-al)
- [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)
- [TDC m1_muscarinic_receptor_antagonists_butkiewicz task, original study references and recommended evaluation](https://tdcommons.ai/single_pred_tasks/hts/#butkiewicz-et-al)

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dataset_licence({ "id": "liuganghuggingface/moldata-m1_muscarinic_receptor_antagonists_butkiewicz" })
signal: "unclear"
stated_licence: "other"
sources: 0