metadata

annotations_creators:
  - expert-generated
languages:
  - es
multilinguality:
  - monolingual
task_categories:
  - text-classification
  - multi-label-text-classification
task_ids:
  - named-entity-recognition

PharmaCoNER Corpus

BibTeX citation

If you use these resources in your work, please cite the following paper:

TO DO

Digital Object Identifier (DOI) and access to dataset files

https://zenodo.org/record/4270158#.YTnXP0MzY0F

Introduction

TO DO: This is a dataset for Named Entity Recognition (NER) from...

Supported Tasks and Leaderboards

Named Entities Recognition, Language Model

Languages

ES - Spanish

Directory structure

pharmaconer.py
dev.conll
test.conll
train.conll
README.md

Dataset Structure

Data Instances

Three four-column files, one for each split.

Data Fields

Every file has four columns:

1st column: Word form or punctuation symbol
2nd column: Original BRAT file name
3rd column: Spans
4th column: IOB tag

Example:

La                S0004-06142006000900008-1  123_125  O
paciente          S0004-06142006000900008-1  126_134  O
tenía             S0004-06142006000900008-1  135_140  O
antecedentes      S0004-06142006000900008-1  141_153  O
de                S0004-06142006000900008-1  154_156  O
hipotiroidismo    S0004-06142006000900008-1  157_171  O
,                 S0004-06142006000900008-1  171_172  O
hipertensión      S0004-06142006000900008-1  173_185  O
arterial          S0004-06142006000900008-1  186_194  O
en                S0004-06142006000900008-1  195_197  O
tratamiento       S0004-06142006000900008-1  198_209  O
habitual          S0004-06142006000900008-1  210_218  O
con               S0004-06142006000900008-1  219-222  O
atenolol          S0004-06142006000900008-1  223_231  B-NORMALIZABLES
y                 S0004-06142006000900008-1  232_233  O
enalapril         S0004-06142006000900008-1  234_243  B-NORMALIZABLES

Data Splits

train: 8,074 tokens
development: 3,764 tokens
test: 3,931 tokens

Dataset Creation

Methodology

TO DO

Curation Rationale

For compatibility with similar datasets in other languages, we followed as close as possible existing curation guidelines.

Source Data

Initial Data Collection and Normalization

TO DO

Who are the source language producers?

TO DO

Annotations

Annotation process

TO DO

Who are the annotators?

TO DO

Dataset Curators

TO DO: Martin?

Personal and Sensitive Information

No personal or sensitive information included.

Contact

TO DO: Casimiro?

License

This work is licensed under a Attribution 4.0 International License.