|
Download DATA_LICENSES.md from MurrellLab/GenBench: direct link, hf CLI and curl.
- Browser
- Download file 2.55 kB
-
https://huggingface.co/datasets/MurrellLab/GenBench/resolve/main/DATA_LICENSES.md
- Command line
-
hf download hf://datasets/MurrellLab/GenBench/DATA_LICENSES.md
-
curl -L -o DATA_LICENSES.md https://huggingface.co/datasets/MurrellLab/GenBench/resolve/main/DATA_LICENSES.md
2.55 kB
| # Dataset licenses and attribution | |
| The GenBench software is MIT-licensed, but that license does **not** apply to | |
| third-party datasets. Each stored dataset retains its upstream license. The | |
| prepared files are adaptations: GenBench verifies the upstream release, then | |
| performs the deterministic splitting, normalization, packing, or feature | |
| selection described in that benchmark's metadata and preparation module. | |
| ## Publicly redistributed prepared data | |
| | Directory | Source and attribution | License | | |
| |---|---|---| | |
| | `QM9` | Ramakrishnan, Dral, Rupp, and von Lilienfeld, [Data for 133885 GDB-9 molecules](https://api.figshare.com/v2/articles/1057646), including Figshare files 3195389 and 3195404 | [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/) | | |
| | `DeepSTARR` | Bernardo P. de Almeida, [DeepSTARR manuscript data](https://doi.org/10.5281/zenodo.5502060) | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) | | |
| | `JetNet30` | Raghav Kansal, Javier Duarte, Su Hao, Breno Orzari, Thiago Tomei, Maurizio Pierini, Mary Touranakou, Jean-Roch Vlimant, and Dimitrios Gunopulos, [JetNet](https://doi.org/10.5281/zenodo.6975118) | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) | | |
| | `MiniBooNE` | Byron Roe, [MiniBooNE particle identification](https://doi.org/10.24432/C5QC87), UCI Machine Learning Repository | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) | | |
| | `NavierStokes` | NeuralOperator Team, [Navier-Stokes Dataset](https://doi.org/10.5281/zenodo.12825163) | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) | | |
| | `GuacaMol` | BenevolentAI, [GuacaMol standardized ChEMBL distribution-learning split](https://github.com/BenevolentAI/guacamol); underlying records from ChEMBL | [CC BY-SA 3.0](https://chembl.github.io/chembl-licensing/) | | |
| | `SpeechCommands` | Pete Warden and the TensorFlow/AIY teams, [Speech Commands V2](https://research.google/blog/launching-the-speech-commands-dataset/) | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) | | |
| ## Source-only datasets | |
| GenBench does not redistribute the following data. The repository contains | |
| checksum-verified Python preparation code that downloads each release directly | |
| from its original host for a user's own use. | |
| | Dataset | Why it is source-only | | |
| |---|---| | |
| | CIFAR-10 | The official release specifies no dataset license or redistribution grant. | | |
| | MNIST | The official distribution and the CVDF mirror specify no general redistribution license. | | |
| This file records upstream terms for reproducibility and is not legal advice. | |