The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: RuntimeError
Message: Dataset scripts are no longer supported, but found n2c2_2014_deid.py
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 "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1167, in dataset_module_factory
raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
RuntimeError: Dataset scripts are no longer supported, but found n2c2_2014_deid.pyNeed 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 n2c2 2014 De-identification
The 2014 i2b2/UTHealth Natural Language Processing (NLP) shared task featured two tracks. The first of these was the de-identification track focused on identifying protected health information (PHI) in longitudinal clinical narratives.
TRACK 1: NER PHI
HIPAA requires that patient medical records have all identifying information removed in order to protect patient privacy. There are 18 categories of Protected Health Information (PHI) identifiers of the patient or of relatives, employers, or household members of the patient that must be removed in order for a file to be considered de-identified. In order to de-identify the records, each file has PHI marked up. All PHI has an XML tag indicating its category and type, where applicable. For the purposes of this task, the 18 HIPAA categories have been grouped into 6 main categories and 25 sub categories
Citation Information
@article{stubbs2015automated,
title = {Automated systems for the de-identification of longitudinal
clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1},
journal = {Journal of Biomedical Informatics},
volume = {58},
pages = {S11-S19},
year = {2015},
issn = {1532-0464},
doi = {https://doi.org/10.1016/j.jbi.2015.06.007},
url = {https://www.sciencedirect.com/science/article/pii/S1532046415001173},
author = {Amber Stubbs and Christopher Kotfila and Özlem Uzuner}
}
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