h2o64/samplingdb

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The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at 00f65f1
Licence files: No licence file at the top level of the repositoryEvidence: file list at 00f65f1
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Citation text from the card

The samples are released under the MIT License, like samplingdb. They are draws from densities
that others defined, so please also credit the sources of the densities you use:

- DW-4, LJ-13 and LJ-55: the potentials of Köhler et al. 2020, as implemented in bgflow.
- The logistic regressions: the Ionosphere, Sonar, Statlog (German Credit) and Breast Cancer
  Wisconsin (Diagnostic) datasets of the UCI Machine Learning Repository, under CC BY 4.0. Seeds:
  the data of Crowder 1978. Brownian: the model of inference_gym. LGCP: the Finnish pines data of
  Møller et al. 1998.
- The peptides: the systems of the Sequential Boltzmann Generators data (Tan et al. 2025), with the
  Amber ff99SB-ILDN and ff14SB force fields and OBC implicit solvent, evaluated with OpenMM.
- The ternary glass: the swap-friendly Kob-Andersen mixture of Jung et al. 2023, after Kob and
  Andersen 1995.
- The binary glass: the two-dimensional 80:20 Kob-Andersen mixture of Cheng et al. 2026, after Kob
  and Andersen 1995.

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dataset_licence({ "id": "h2o64/samplingdb" })
signal: "permissive"
stated_licence: "mit"
sources: 0