metadata
annotations_creators:
- train: programmatically-generated
- val: programmatically-generated
- test: programmatically-generated, expert-validated
language_creators:
- found
languages:
- en
licenses:
- unknown
multilinguality:
- monolingual
size_categories:
- 10K<n<100K **FIX**
task_categories:
- structure-prediction
task_ids:
- named-entity-recognition
Dataset Card for "EpiSet4NER by NIH NCATS GARD"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
Dataset Summary
EpiSet4NER is a dataset
An example of 'train' looks as follows.
{
"id": "333",
"tokens": ['Conclusions', 'The', 'birth', 'prevalence', 'of', 'CLD', 'in', 'the', 'northern', 'Netherlands', 'was', '21.1/10,000', 'births', '.'],
"ner_tags": [0, 0, 0, 3, 0, 0, 0, 0, 0, 1, 0, 5, 6, 0],
}
Data Fields
The data fields are the same among all splits.
conllpp
id
: astring
feature.tokens
: alist
ofstring
features.ner_tags
: alist
of classification labels, with possible values includingO
(0),B-PER
(1),I-PER
(2),B-ORG
(3),I-ORG
(4).
Data Splits
name | train | validation | test |
---|---|---|---|
EpiSet | 14041 | 3250 | 3453 |
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Annotations
Annotation process
See here and then here
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
[More Information Needed]
Contributions
Thanks to @William Kariampuzha at NCATS/Axle Informatics for adding this dataset.