danil-e/harbor-datasets-mlab

harbor-datasets-mlab Harbor-format MLAgentBench (arXiv:2310.03302), posed under the benchmark's own protocol: every workspace already contains a train.py that runs end to end but scores poorly, and the task is to improve it — not to solve the problem from an empty directory. Task descriptions are MLAgentBench's research_problem.txt verbatim. 10 tasks across tabular / text / vision / graph / segmentation / algorithmic. Agent-neutral and self-contained: registry.json at the root… See the full description on the dataset page: https://huggingface.co/datasets/danil-e/harbor-datasets-mlab.

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