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Transition from Models Hub to Datasets Hub for expert trajectories (#723
) * Remove load_rolluts_from_huggingface and replace it with code in demonstrations.py that loads demonstrations from huggingface datasets instead of huggingface models. * Allow specifying the repo_id directly in the loader_kwargs of the demonstrations ingredient and pass remaining loader_kwargs to datasets.load_dataset. * Simplify demonstrations ingredient configuration and make it more flexible at the same time. * Remove now obsolete test. * Rename rollout_type to type and rollout_path to path and make default type "generated" to match previous behavior. * Fix documentation of the Raises: section of get_exper_trajectories() and improve wording of ValueError when n_expert_demos is missing while generating trajectories. * Simplify unnecessarily complex regexes to match raised exceptions during testing. * Fix regex for ValueError to reflect updated ValueError string. * Add an edge case to accommodate the fact that the HuggingFace Hub only has an expert for seals/Cartpole while the testdata folder only has an expert for normal Cartpole. * Make it explicit that in some tests the rollout should be loaded locally from disk. * Fix formatting issues in test_scripts.py * Rename demonstrations.type to demonstrations.source to overcome name-clash with build-in keyword of python. * Make sure to load local demonstrations in quickstart.sh * Fix formatting issue. * Ensure the readme contains the same snippet as the examples.
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