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Datasets:
qgallouedec
/
prj_gia_dataset_metaworld_soccer_v2_1111

Tags:
deep-reinforcement-learning
reinforcement-learning
gia
multi-task
multi-modal
imitation-learning
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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    FileNotFoundError
Message:      Couldn't find a dataset script at /src/services/worker/qgallouedec/prj_gia_dataset_metaworld_soccer_v2_1111/prj_gia_dataset_metaworld_soccer_v2_1111.py or any data file in the same directory. Couldn't find 'qgallouedec/prj_gia_dataset_metaworld_soccer_v2_1111' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in qgallouedec/prj_gia_dataset_metaworld_soccer_v2_1111. 
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 55, in compute_config_names_response
                  for config in sorted(get_dataset_config_names(path=dataset, token=hf_token))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 351, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1508, in dataset_module_factory
                  raise FileNotFoundError(
              FileNotFoundError: Couldn't find a dataset script at /src/services/worker/qgallouedec/prj_gia_dataset_metaworld_soccer_v2_1111/prj_gia_dataset_metaworld_soccer_v2_1111.py or any data file in the same directory. Couldn't find 'qgallouedec/prj_gia_dataset_metaworld_soccer_v2_1111' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in qgallouedec/prj_gia_dataset_metaworld_soccer_v2_1111.

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An imitation learning environment for the soccer-v2 environment, sample for the policy soccer-v2

This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia

Load dataset

First, clone it with

git clone https://huggingface.co/datasets/qgallouedec/prj_gia_dataset_metaworld_soccer_v2_1111

Then, load it with

import numpy as np
dataset = np.load("prj_gia_dataset_metaworld_soccer_v2_1111/dataset.npy", allow_pickle=True).item()
print(dataset.keys())  # dict_keys(['observations', 'actions', 'dones', 'rewards'])
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