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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 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: a string feature.
  • tokens: a list of string features.
  • ner_tags: a list of classification labels, with possible values including O (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.