datasets
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bc2gm_corpus
Dataset Card for bc2gm_corpus
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
id: Sentence identifier.
tokens: Array of tokens composing a sentence.
ner_tags: Array of tags, where 0 indicates no disease mentioned, 1 signals the first token of a disease and… See the full description on the dataset page: https://huggingface.co/datasets/spyysalo/bc2gm_corpus.bc2gmtask1481_gene_extraction_bc2gm_dataset
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1481_gene_extraction_bc2gm_dataset
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1481_gene_extraction_bc2gm_dataset.bc2gm['GENE']
BC2GM-ITATanslation drop rate:
Train: 9.3% dropped
Test: 9.58% dropped
Dev: 9.15% dropped
NER Tags:
{0: 'O', 1: 'B-GENE', 2: 'I-GENE'}
bc2gmbc2gm_testNineteen teams presented results for the Gene Mention Task at the BioCreative II Workshop.
In this task participants designed systems to identify substrings in sentences corresponding to gene name mentions.
A variety of different methods were used and the results varied with a highest achieved F1 score of 0.8721.
Here we present brief descriptions of all the methods used and a statistical analysis of the results.
We also demonstrate that, by combining the results from all submissions, an F score of 0.9066 is feasible,
and furthermore that the best result makes use of the lowest scoring submissions.
For more details, see: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2559986/
The original dataset can be downloaded from: https://biocreative.bioinformatics.udel.edu/resources/corpora/biocreative-ii-corpus/
This dataset has been converted to CoNLL format for NER using the following tool: https://github.com/spyysalo/standoff2conllbc2gm_corpus
Dataset Card for bc2gm_corpus
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
id: Sentence identifier.
tokens: Array of tokens composing a sentence.
ner_tags: Array of tags, where 0 indicates no disease mentioned, 1 signals the… See the full description on the dataset page: https://huggingface.co/datasets/Venkatsaikiran/bc2gm_corpus.