The dataset viewer is not available for this dataset.
Error code: RetryableConfigNamesError
Exception: HfHubHTTPError
Message: 504 Server Error: Gateway Time-out for url: https://huggingface.co/api/datasets/hltcoe/OJ4OCRMT/tree/7171d03b56a42f43c6598fae4d4891a6144c3761?recursive=True&expand=False&cursor=ZXlKbWFXeGxYMjVoYldVaU9pSmtaWFl2VDBvNlF6b3lNREl5T2pReU5DOXdibWMzTWlJc0luUnlaV1ZmYjJsa0lqb2lOalU1TldVeVlXTTFOMk5pTjJKaE5EZGtOVFV5TlRJeU9XRXdNV05oTmpWbVpHVTBPVEZqWmlKOToxMDAw
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 165, in get_dataset_config_names
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1664, in dataset_module_factory
raise e1 from None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1621, in dataset_module_factory
return HubDatasetModuleFactoryWithoutScript(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1018, in get_module
patterns = get_data_patterns(base_path, download_config=self.download_config)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 473, in get_data_patterns
return _get_data_files_patterns(resolver)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 284, in _get_data_files_patterns
data_files = pattern_resolver(pattern)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 360, in resolve_pattern
for filepath, info in fs.glob(pattern, detail=True, **glob_kwargs).items()
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 521, in glob
return super().glob(path, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 604, in glob
allpaths = self.find(root, maxdepth=depth, withdirs=True, detail=True, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 563, in find
out = self._ls_tree(path, recursive=True, refresh=refresh, revision=resolved_path.revision, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 446, in _ls_tree
self._ls_tree(
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 463, in _ls_tree
for path_info in tree:
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 3140, in list_repo_tree
for path_info in paginate(path=tree_url, headers=headers, params={"recursive": recursive, "expand": expand}):
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_pagination.py", line 46, in paginate
hf_raise_for_status(r)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 482, in hf_raise_for_status
raise _format(HfHubHTTPError, str(e), response) from e
huggingface_hub.errors.HfHubHTTPError: 504 Server Error: Gateway Time-out for url: https://huggingface.co/api/datasets/hltcoe/OJ4OCRMT/tree/7171d03b56a42f43c6598fae4d4891a6144c3761?recursive=True&expand=False&cursor=ZXlKbWFXeGxYMjVoYldVaU9pSmtaWFl2VDBvNlF6b3lNREl5T2pReU5DOXdibWMzTWlJc0luUnlaV1ZmYjJsa0lqb2lOalU1TldVeVlXTTFOMk5pTjJKaE5EZGtOVFV5TlRJeU9XRXdNV05oTmpWbVpHVTBPVEZqWmlKOToxMDAwNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
OJ4OCRMT: A Large Multilingual Dataset for OCR-MT Evaluation
The OJ4OCRMT dataset contains source PDF files, rendered images in three resolutions, and text files (both raw extractions, and sentence-boundary split files). There are two partitions, 'dev' and 'test'. Each contains over 1,000 pages of content, with the PDFs, PNGs, and text files available in 23 EU languages.
The dataset is designed to support evaluating systems for translation of document images between any pair of 23 European languages.
The dev partition contains 1,656 pages from 2022. Of these 1,412 (85%) are deemed regular; 193 (12%) contain a table; and, 51 (3%) contain a 'figure'. The test partition contains 1,119 pages, all from 2023. 979 (87%) are regular; 98 (9%) contain a table; and, 42 (4%) contain a 'figure'. Note, all 2,772 pages have translations in all 23 languages. The languages are: Bulgarian, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Greek, Hungarian, Italian, Latvian, Lithuanian, Maltese, Polish, Portuguese, Romanian, Slovak, Slovene, Spanish, and Swedish. See the published paper for details about the dataset.
Each page is identified by a document identifier and a page number. For example, OJ:C:2022:240 is a document identifier. And page 22 of that document is available in the dev set. At the time of publication this URL gives access to that page online: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=OJ:C:2022:240:FULL#page=22
For the page identified above, the released dataset contains:
- (a) raw: text obtained from the 'pdftotext' command dev/OJ:C:2022:240/raw/OJ:C:2022:240:FULL.en.p-22.txt
- (b) sbd: normalized text obtained by cleaning the raw text and performing sentence splitting dev/OJ:C:2022:240/sbd/OJ:C:2022:240:FULL.en.p-22.txt
- (c) png72: a PNG image file at 72 dpi resolution dev/OJ:C:2022:240/png72/OJ:C:2022:240:FULL.en.p-22.png
- (d) png150: a PNG image file at 150 dpi resolution dev/OJ:C:2022:240/png150/OJ:C:2022:240:FULL.en.p-22.png
- (e) png300: a PNG image file at 300 dpi resolution dev/OJ:C:2022:240/png300/OJ:C:2022:240:FULL.en.p-22.png
- (f) pdf: a PDF file obtained from the EUR-Lex online portal and using 'pdfseparate' dev/OJ:C:2022:240/pdf/OJ:C:2022:240:FULL.en.p-22.pdf
Splits for the partitions are in TSV format with two-columns: docid [tab] page The eight split files are named {dev,test}.{all,regular,table.figure}.txt
If you use this work, please cite:
@inproceedings{mcnamee-etal-2025-oj4ocrmt,
title = "{OJ}4{OCRMT}: A Large Multilingual Dataset for {OCR}-{MT} Evaluation",
author = "McNamee, Paul and
Duh, Kevin and
Carpenter, Cameron and
Colaianni, Ron and
King, Nolan and
Murray, Kenton",
booktitle = "Proceedings of Machine Translation Summit XX: Volume 1",
month = jun,
year = "2025",
address = "Geneva, Switzerland",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2025.mtsummit-1.9/",
pages = "113--125",
ISBN = "978-2-9701897-0-1"
}
Initial release: 6/16/2025
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