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Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 499, in get_dataset_config_info
for split_generator in builder._split_generators(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 75, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 41, in _get_pipeline_from_tar
extracted_file_path = streaming_download_manager.extract(f"memory://{filename}")
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 118, in extract
urlpaths = map_nested(self._extract, url_or_urls, map_tuple=True)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py", line 484, in map_nested
mapped = function(data_struct)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 128, in _extract
raise NotImplementedError(
NotImplementedError: Extraction protocol for TAR archives like 'memory://mnt/localdata4/users/jingyechen/further/0/00099.tar.gz' is not implemented in streaming mode. Please use `dl_manager.iter_archive` instead.
Example usage:
url = dl_manager.download(url)
tar_archive_iterator = dl_manager.iter_archive(url)
for filename, file in tar_archive_iterator:
...
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 572, in get_dataset_split_names
info = get_dataset_config_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 504, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
TextDiffuser-MARIO-10M
Dataset description
MARIO-10M is a dataset containing about 10 million text images, which includes a variety of sources such as book covers, posters, and tickets. Alongside the images, the dataset also provides OCR results and caption information.
Download
The downloading process include three steps:
[1] Download all the tar files
for i in {0..500};
do wget -O $i.tar.gz https://huggingface.co/datasets/JingyeChen22/TextDiffuser-MARIO-10M/resolve/main/$i.tar.gz?download=true;
done
[2] Unzip the top-level directory
for i in {0..500};
do tar -xvf $i.tar.gz --strip-components=5 && rm $i.tar.gz;
done
[3] Unzip the second-level directory
for i in {0..500};
do
cd $i && for file in *.tar.gz; do tar -xvf "$file" --strip-components=5 && rm $file; done;
cd ..;
done
Finally, the directory tree should show like this:
MARIO-10M/
│
├── 0/
│ ├── 00000/
│ ├──── 000000012/
│ ├──────── caption.txt
│ ├──────── charseg.npy
│ ├──────── image.jpg
│ ├──────── info.json
│ ├──────── ocr.txt
...
Citation
If you find MARIO dataset useful in your research, please cite the following paper:
@article{chen2024textdiffuser,
title={Textdiffuser: Diffusion models as text painters},
author={Chen, Jingye and Huang, Yupan and Lv, Tengchao and Cui, Lei and Chen, Qifeng and Wei, Furu},
journal={Advances in Neural Information Processing Systems},
volume={36},
year={2024}
}
@article{chen2023textdiffuser,
title={Textdiffuser-2: Unleashing the power of language models for text rendering},
author={Chen, Jingye and Huang, Yupan and Lv, Tengchao and Cui, Lei and Chen, Qifeng and Wei, Furu},
journal={European Conference on Computer Vision},
year={2024}
}
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