The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 153, in compute
compute_split_names_from_info_response(
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 125, in compute_split_names_from_info_response
config_info_response = get_previous_step_or_raise(kind="config-info", dataset=dataset, config=config)
File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 591, in get_previous_step_or_raise
raise CachedArtifactError(
libcommon.simple_cache.CachedArtifactError: The previous step failed.
During handling of the above exception, another exception occurred:
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 86, 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 49, in _get_pipeline_from_tar
current_example[field_name] = cls.DECODERS[data_extension](current_example[field_name])
KeyError: 'c-PDF_Annotations/competition-dataset-eu_eu-006_tables.json'
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 71, 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? Open a discussion for direct support.
ICDAR-2013.c
The ICDAR-2013.c dataset was released in 2023.
You can think of ICDAR-2013.c as a fork (a modified version, in this case by different authors) of the original ICDAR-2013 dataset from the ICDAR 2013 Table Competition.
It contains:
- manual corrections to minor annotation mistakes in the original dataset
- automated corrections (such as canonicalization) to correct oversegmentation and to make the dataset more consistent with other TSR datasets, like PubTables-1M
For more details about this version (2023) of the dataset and the manual corrections made to the original dataset, please see "Aligning benchmark datasets for table structure recognition".
For the code used to create this dataset, see https://github.com/microsoft/table-transformer.
Citing
If you use this dataset in your published work, please cite:
@article{smock2023aligning,
title={Aligning benchmark datasets for table structure recognition},
author={Smock, Brandon and Pesala, Rohith and Abraham, Robin},
booktitle={International Conference on Document Analysis and Recognition},
pages={371--386},
year={2023},
organization={Springer}
}
About the original IDCAR-2013 dataset
The original dataset was released as part of the ICDAR 2013 Table Competition.
It can be downloaded here but as of August 2023 accessing the files returns a 403 Forbidden error.
We release a copy of the original dataset but with manual corrections to fix minor annotation mistakes here.
Original license
There is no known license for the original dataset, but the data is commonly referred to as "public", and so we interpret this to mean there are no license restrictions on the original data.
According to this website from Tamir Hassan (as of August 2023): "These documents have been collected systematically from the European Union and US Government websites, and we therefore expect them to have public domain status."
Associated code for the data for the 2013 competition carries an Apache-2.0 license.
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