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Datasets:
EMBO
/
BLURB

Tasks:
Question Answering
Token Classification
Sentence Similarity
Sub-tasks:
closed-domain-qa
named-entity-recognition
parsing
Languages:
English
Size:
10K<n<100K
ArXiv:
License:
Dataset card Files Community
3
Dr. Jorge Abreu Vicente commited on
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1 Parent(s): 6da272c

remove horizontal lines table

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  1. README.md +0 -6
README.md CHANGED
@@ -80,20 +80,14 @@ Inspired by prior efforts toward this direction (e.g., BLUE), we have created BL
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  | NCBI-disease | NER | 5134 | 787 | 960 | F1 entity-level | Yes |
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  | BC2GM | NER | 15197 | 3061 | 6325 | F1 entity-level | Yes |
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  | JNLPBA | NER | 46750 | 4551 | 8662 | F1 entity-level | Yes |
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- |:------------:|:-----------------------:|:---------:|:-------:|:--------:|:----------------------:|-----------|
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  | EBM PICO | PICO | 339167 | 85321 | 16364 | Macro F1 word-level | No |
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- |:------------:|:-----------------------:|:---------:|:-------:|:--------:|:----------------------:|-----------|
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  | ChemProt | Relation Extraction | 18035 | 11268 | 15745 | Micro F1 | No |
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  | DDI | Relation Extraction | 25296 | 2496 | 5716 | Micro F1 | No |
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  | GAD | Relation Extraction | 4261 | 535 | 534 | Micro F1 | No |
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- |:------------:|:-----------------------:|:---------:|:-------:|:--------:|:----------------------:|-----------|
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  | BIOSSES | Sentence Similarity | 64 | 16 | 20 | Pearson | No |
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- |:------------:|:-----------------------:|:---------:|:-------:|:--------:|:----------------------:|-----------|
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  | HoC | Document Classification | 1295 | 186 | 371 | Average Micro F1 | No |
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- |:------------:|:-----------------------:|:---------:|:-------:|:--------:|:----------------------:|-----------|
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  | PubMedQA | Question Answering | 450 | 50 | 500 | Accuracy | No |
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  | BioASQ | Question Answering | 670 | 75 | 140 | Accuracy | No |
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- |:------------:|:-----------------------:|:---------:|:-------:|:--------:|:----------------------:|-----------|
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  Datasets used in the BLURB biomedical NLP benchmark. The Train, Dev, and test splits might not be exactly identical to those proposed in BLURB.
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  This is something to be checked.
 
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  | NCBI-disease | NER | 5134 | 787 | 960 | F1 entity-level | Yes |
81
  | BC2GM | NER | 15197 | 3061 | 6325 | F1 entity-level | Yes |
82
  | JNLPBA | NER | 46750 | 4551 | 8662 | F1 entity-level | Yes |
 
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  | EBM PICO | PICO | 339167 | 85321 | 16364 | Macro F1 word-level | No |
 
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  | ChemProt | Relation Extraction | 18035 | 11268 | 15745 | Micro F1 | No |
85
  | DDI | Relation Extraction | 25296 | 2496 | 5716 | Micro F1 | No |
86
  | GAD | Relation Extraction | 4261 | 535 | 534 | Micro F1 | No |
 
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  | BIOSSES | Sentence Similarity | 64 | 16 | 20 | Pearson | No |
 
88
  | HoC | Document Classification | 1295 | 186 | 371 | Average Micro F1 | No |
 
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  | PubMedQA | Question Answering | 450 | 50 | 500 | Accuracy | No |
90
  | BioASQ | Question Answering | 670 | 75 | 140 | Accuracy | No |
 
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  Datasets used in the BLURB biomedical NLP benchmark. The Train, Dev, and test splits might not be exactly identical to those proposed in BLURB.
93
  This is something to be checked.