The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: ImportError
Message: To be able to use bigbio/gnormplus, 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/gnormplus, 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 GNormPlus
We re-annotated two existing gene corpora. The BioCreative II GN corpus is a widely used data set for benchmarking GN tools and includes document-level annotations for a total of 543 articles (281 in its training set; and 262 in test). The Citation GIA Test Collection was recently created for gene indexing at the NLM and includes 151 PubMed abstracts with both mention-level and document-level annotations. They are selected because both have a focus on human genes. For both corpora, we added annotations of gene families and protein domains. For the BioCreative GN corpus, we also added mention-level gene annotations. As a result, in our new corpus, there are a total of 694 PubMed articles. PubTator was used as our annotation tool along with BioC formats.
Citation Information
@Article{Wei2015,
author={Wei, Chih-Hsuan and Kao, Hung-Yu and Lu, Zhiyong},
title={GNormPlus: An Integrative Approach for Tagging Genes, Gene Families, and Protein Domains},
journal={BioMed Research International},
year={2015},
month={Aug},
day={25},
publisher={Hindawi Publishing Corporation},
volume={2015},
pages={918710},
issn={2314-6133},
doi={10.1155/2015/918710},
url={https://doi.org/10.1155/2015/918710}
}
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