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sled-umich/RACER-replay-public

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Hugging Face2024-10-15 更新2025-04-12 收录
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https://hf-mirror.com/datasets/sled-umich/RACER-replay-public
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资源简介:
--- license: mit --- Replay Buffers preprocessed by [YARR](https://github.com/stepjam/YARR). The statistics of transitions for training are as follows: |Task| Number| |--|--| | close_jar | 6769 | | insert_onto_square_peg | 5863 | | light_bulb_in | 6654 | | meat_off_grill | 5574 | | open_drawer | 4281 | | place_cups | 11112 | | place_shape_in_shape_sorter | 4586 | | place_wine_at_rack_location | 6160 | | push_buttons | 4818 | | put_groceries_in_cupboard | 4609 | | put_item_in_drawer | 11802 | | put_money_in_safe | 6194 | | reach_and_drag | 5828 | | slide_block_to_color_target | 3148 | | stack_blocks | 16785 | | stack_cups | 11301 | | sweep_to_dustpan_of_size | 6072 | | turn_tap | 2288 | |Total|123844| Unzip the files inside each directory like this: ``` racer_replay_public ├── close_jar │ ├── 0.replay │ ├── 1.replay ... │ └── replay_info.npy ... └── turn_tap ``` The total size of the replay buffers is around 2TB.
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