Error code: ConfigNamesError Exception: DataFilesNotFoundError Message: No (supported) data files found in hayden-donnelly/easy-mnist Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 65, in compute_config_names_response get_dataset_config_names( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names dataset_module = dataset_module_factory( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1840, in dataset_module_factory raise e1 from None File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1821, in dataset_module_factory return HubDatasetModuleFactoryWithoutScript( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1215, in get_module module_name, default_builder_kwargs = infer_module_for_data_files( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 591, in infer_module_for_data_files raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else "")) datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in hayden-donnelly/easy-mnist

Easy MNIST

MNIST processed into three easy to use formats. Each .zip file contains a labels_and_paths.csv file and a data directory.

mnist_png.zip

MNIST in the png format.

       label            path
0          5      data/0.png
1          0      data/1.png
2          4      data/2.png
3          1      data/3.png
4          9      data/4.png
...      ...             ...
69995      2  data/69995.png
69996      3  data/69996.png
69997      4  data/69997.png
69998      5  data/69998.png
69999      6  data/69999.png

mnist_numpy.zip

MNIST in the npy format.

       label            path
0          5      data/0.npy
1          0      data/1.npy
2          4      data/2.npy
3          1      data/3.npy
4          9      data/4.npy
...      ...             ...
69995      2  data/69995.npy
69996      3  data/69996.npy
69997      4  data/69997.npy
69998      5  data/69998.npy
69999      6  data/69999.npy

mnist_numpy_flat.zip

MNIST in the npy format, flattened to 784 dimensional vectors.

       label            path
0          5      data/0.npy
1          0      data/1.npy
2          4      data/2.npy
3          1      data/3.npy
4          9      data/4.npy
...      ...             ...
69995      2  data/69995.npy
69996      3  data/69996.npy
69997      4  data/69997.npy
69998      5  data/69998.npy
69999      6  data/69999.npy

Acknowledgements

Yann LeCun, Courant Institute, NYU
Corinna Cortes, Google Labs, New York
Christopher J.C. Burges, Microsoft Research, Redmond