scikit-fingerprints/TDC_ld50_zhu
TDC Acute Toxicity LD50 Acute Toxicity LD50 dataset dataset [1], part of TDC [2] benchmark. It is intended to be used through scikit-fingerprints library. Acute toxicity LD50 measures the most conservative dose that can lead to lethal adverse effects. The regression task is to predict the acute toxicity of drugs. Characteristic Description Tasks 1 Task type regression Total samples 7385 Recommended split scaffold Recommended metric MAE… See the full description on the dataset page: https://huggingface.co/datasets/scikit-fingerprints/TDC_ld50_zhu.
| Author / organization | scikit-fingerprints |
|---|---|
| License (as declared) | unknown |
| Downloads | 573 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 17 February 2025 |
| Last updated at source | 14 June 2025 |
Popularity, last 3 days
573 now (+16 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: TDC Acute Toxicity LD50 Acute Toxicity LD50 dataset dataset [1], part of TDC [2] benchmark. It is intended to be used through scikit-fingerprints library. Acute toxicity LD50 measures the most conservative dose that can lead to lethal adver → TDC Acute Toxicity LD50 Acute Toxicity LD50 dataset dataset [1], part of TDC [2] benchmark. It is intended to be used through scikit-fingerprints library. Acute toxicity LD50 measures the most conservative dose that can lead to lethal adver
Changes detected by Silytics between refreshes of the source.
More from scikit-fingerprints
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.