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cinic-10-batches-py/batches
/tmp/hf-datasets-cache/medium/datasets/19162966766712-config-parquet-and-info-alexey-zhavoronkin-CINIC1-fc50cee8/downloads/a1b6082a3cc01a0dd87fb3e62dfeec93eec74ea46ba7e18ae4245c354f82e448
[ 128, 4, 149, 102, 0, 0, 0, 0, 0, 0, 0, 125, 148, 140, 11, 108, 97, 98, 101, 108, 95, 110, 97, 109, 101, 115, 148, 93, 148, 40, 140, 8, 97, 105, 114, 112, 108, 97, 110, 101, 148, 140, 10, 97, 117, 116, 111, 109, 111, 98, 105, 108, 101, 148, 140, 4, 98, 105, 114, 100, 148, 140, 3, 99, 97, 116, 148, 140, 4, 100, 101, 101, 114, 148, 140, 3, 100, 111, 103, 148, 140, 4, 102, 114, 111, 103, 148, 140, 5, 104, 111, 114, 115, 101, 148, 140, 4, 115, 104, 105, 112, 148, 140, 5, 116, 114, 117, 99, 107, 148, 101, 115, 46 ]

CINIC10 dataset with interface of CIFAR10.

It is faster than the common CINIC10 due to the fact that all images are loaded into RAM while initing dataset instance.

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