The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: RuntimeError
Message: Dataset scripts are no longer supported, but found n2c2_2010.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 1032, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 992, 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_2010.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 2010 Concepts, Assertions, and Relations
The i2b2/VA corpus contained de-identified discharge summaries from Beth Israel Deaconess Medical Center, Partners Healthcare, and University of Pittsburgh Medical Center (UPMC). In addition, UPMC contributed de-identified progress notes to the i2b2/VA corpus. This dataset contains the records from Beth Israel and Partners.
The 2010 i2b2/VA Workshop on Natural Language Processing Challenges for Clinical Records comprises three tasks:
- a concept extraction task focused on the extraction of medical concepts from patient reports;
- an assertion classification task focused on assigning assertion types for medical problem concepts;
- a relation classification task focused on assigning relation types that hold between medical problems, tests, and treatments.
i2b2 and the VA provided an annotated reference standard corpus for the three tasks. Using this reference standard, 22 systems were developed for concept extraction, 21 for assertion classification, and 16 for relation classification.
Citation Information
@article{DBLP:journals/jamia/UzunerSSD11,
author = {
Ozlem Uzuner and
Brett R. South and
Shuying Shen and
Scott L. DuVall
},
title = {2010 i2b2/VA challenge on concepts, assertions, and relations in clinical
text},
journal = {J. Am. Medical Informatics Assoc.},
volume = {18},
number = {5},
pages = {552--556},
year = {2011},
url = {https://doi.org/10.1136/amiajnl-2011-000203},
doi = {10.1136/amiajnl-2011-000203},
timestamp = {Mon, 11 May 2020 23:00:20 +0200},
biburl = {https://dblp.org/rec/journals/jamia/UzunerSSD11.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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