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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: FileNotFoundError
Message: [Errno 2] No such file or directory: 'zip://horse2zebra/trainA/n02381460_1001.jpg::http://efrosgans.eecs.berkeley.edu/cyclegan/datasets/horse2zebra.zip'
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/first_rows.py", line 571, in compute_first_rows_response
rows = get_rows(
File "/src/services/worker/src/worker/job_runners/first_rows.py", line 162, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/first_rows.py", line 218, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 937, in __iter__
for key, example in ex_iterable:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 113, in __iter__
yield from self.generate_examples_fn(**self.kwargs)
File "/tmp/modules-cache/datasets_modules/datasets/gigant--horse2zebra/271a4163c0a544ca808b416a14bfd32156a1e33078242c9f820df4bf246ddb2b/horse2zebra.py", line 77, in _generate_examples
with Image.open(os.path.join(image_dir, image_file)) as img :
File "/src/services/worker/.venv/lib/python3.9/site-packages/PIL/Image.py", line 3227, in open
fp = builtins.open(filename, "rb")
FileNotFoundError: [Errno 2] No such file or directory: 'zip://horse2zebra/trainA/n02381460_1001.jpg::http://efrosgans.eecs.berkeley.edu/cyclegan/datasets/horse2zebra.zip'Need help to make the dataset viewer work? Open an discussion for direct support.
Dataset Summary
This dataset was obtained from the original CycleGAN Datasets directory available on Berkeley's website.
For more details about the dataset you can refer to the original CycleGAN publication.
How to use
You can easily load the dataset with the following lines :
from datasets import load_dataset
data_horses = load_dataset("gigant/horse2zebra", name="horse", split="train")
data_zebras = load_dataset("gigant/horse2zebra", name="zebra", split="train")
Two splits are available, "train" and "test"
Citation Information
@inproceedings{CycleGAN2017,
title={Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks},
author={Zhu, Jun-Yan and Park, Taesung and Isola, Phillip and Efros, Alexei A},
booktitle={Computer Vision (ICCV), 2017 IEEE International Conference on},
year={2017}
}
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