mood-anonymous/mood-benchmark
MOOD: Materials Out-of-Distribution Detection Benchmark Pre-extracted graph neural network embeddings, trained checkpoints, density-flow models, OOD split indices, supervised-probe outputs, and detector evaluation artifacts for the MOOD benchmark. Anonymous review submission. Authors and affiliations will be filled in at camera-ready. The accompanying source code lives at https://anonymous.4open.science/r/MOOD-Bench-820B/ during the review period. Layout… See the full description on the dataset page: https://huggingface.co/datasets/mood-anonymous/mood-benchmark.
| Author / organization | mood-anonymous |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 147 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 6 May 2026 |
| Last updated at source | 7 May 2026 |
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- 17 Oct 2026 Description: MOOD: Materials Out-of-Distribution Detection Benchmark Pre-extracted graph neural network embeddings, trained checkpoints, density-flow models, OOD split indices, supervised-probe outputs, and detector evaluation artifacts for the MOOD ben → MOOD: Materials Out-of-Distribution Detection Benchmark Pre-extracted graph neural network embeddings, trained checkpoints, density-flow models, OOD split indices, supervised-probe outputs, and detector evaluation artifacts for the MOOD ben
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