The dataset viewer is not available for this dataset.
The dataset tries to import a module that is not installed.
Error code:   DatasetModuleNotInstalledError
Exception:    ImportError
Message:      To be able to use bigbio/bioid, 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 55, in compute_config_names_response
                  for config in sorted(get_dataset_config_names(path=dataset, token=hf_token))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 351, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1512, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1481, in dataset_module_factory
                  return HubDatasetModuleFactoryWithScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1202, in get_module
                  local_imports = _download_additional_modules(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 294, in _download_additional_modules
                  raise ImportError(
              ImportError: To be able to use bigbio/bioid, you need to install the following dependency: bioc.
              Please install it using 'pip install bioc' for instance.

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Dataset Card for Bio-ID

The Bio-ID track focuses on entity tagging and ID assignment to selected bioentity types. The task is to annotate text from figure legends with the entity types and IDs for taxon (organism), gene, protein, miRNA, small molecules, cellular components, cell types and cell lines, tissues and organs. The track draws on SourceData annotated figure legends (by panel), in BioC format, and the corresponding full text articles (also BioC format) provided for context.

Citation Information

@inproceedings{arighi2017bio,
  title={Bio-ID track overview},
  author={Arighi, Cecilia and Hirschman, Lynette and Lemberger, Thomas and Bayer, Samuel and Liechti, Robin and Comeau, Donald and Wu, Cathy},
  booktitle={Proc. BioCreative Workshop},
  volume={482},
  pages={376},
  year={2017}
}
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