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Cannot get the config names for the dataset.
Error code: ConfigNamesError Exception: FileNotFoundError Message: Couldn't find a dataset script at /src/services/worker/ICML2022/EfficientDatasetCondensation/EfficientDatasetCondensation.py or any data file in the same directory. Couldn't find 'ICML2022/EfficientDatasetCondensation' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in ICML2022/EfficientDatasetCondensation. 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/ICML2022/EfficientDatasetCondensation/EfficientDatasetCondensation.py or any data file in the same directory. Couldn't find 'ICML2022/EfficientDatasetCondensation' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in ICML2022/EfficientDatasetCondensation.
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Data summary
- This repository contains small synthetic data for Image datasets; MNIST, SVHN, and CIFAR-10.
- Each torch file contains the images and corresponding labels of sizes ranging from 1,10,50 images per class (IPC).
- For more details, please refer to our GitHub page and paper below.
Reference
https://github.com/snu-mllab/Efficient-Dataset-Condensation
Citation
@inproceedings{kimICML22,
title = {Dataset Condensation via Efficient Synthetic-Data Parameterization},
author = {Kim, Jang-Hyun and Kim, Jinuk and Oh, Seong Joon and Yun, Sangdoo and Song, Hwanjun and Jeong, Joonhyun and Ha, Jung-Woo and Song, Hyun Oh},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2022}
}
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