Hugging Face's logo

Datasets:
bigbio
/
bronco

Languages:
German
Dataset card Files Community
1
Dataset Viewer
Full Screen
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    ImportError
Message:      To be able to use bigbio/bronco, you need to install the following dependency: bioc.
Please install it using 'pip install bioc' for instance.
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 347, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1914, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1880, in dataset_module_factory
                  return HubDatasetModuleFactoryWithScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1504, in get_module
                  local_imports = _download_additional_modules(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 354, in _download_additional_modules
                  raise ImportError(
              ImportError: To be able to use bigbio/bronco, you need to install the following dependency: bioc.
              Please install it using 'pip install bioc' for instance.

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.

Dataset Card for BRONCO150

BRONCO150 is a corpus containing selected sentences of 150 German discharge summaries of cancer patients (hepatocelluar carcinoma or melanoma) treated at Charite Universitaetsmedizin Berlin or Universitaetsklinikum Tuebingen. All discharge summaries were manually anonymized. The original documents were scrambled at the sentence level to make reconstruction of individual reports impossible.

Citation Information 

@article{10.1093/jamiaopen/ooab025,
    author = {Kittner, Madeleine and Lamping, Mario and Rieke, Damian T and Götze, Julian and Bajwa, Bariya and Jelas, Ivan and Rüter, Gina and Hautow, Hanjo and Sänger, Mario and Habibi, Maryam and Zettwitz, Marit and Bortoli, Till de and Ostermann, Leonie and Ševa, Jurica and Starlinger, Johannes and Kohlbacher, Oliver and Malek, Nisar P and Keilholz, Ulrich and Leser, Ulf},
    title = "{Annotation and initial evaluation of a large annotated German oncological corpus}",
    journal = {JAMIA Open},
    volume = {4},
    number = {2},
    year = {2021},
    month = {04},
    issn = {2574-2531},
    doi = {10.1093/jamiaopen/ooab025},
    url = {https://doi.org/10.1093/jamiaopen/ooab025},
    note = {ooab025},
    eprint = {https://academic.oup.com/jamiaopen/article-pdf/4/2/ooab025/38830128/ooab025.pdf},
}
Downloads last month
45
Homepage:
informatik.hu-berlin.de
Pubmed:
False
Public:
False
Tasks:
NER, NED

Models trained or fine-tuned on bigbio/bronco