Datasets:
ncbi
/

Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
License:
Sasha Luccioni commited on
Commit
473e145
1 Parent(s): c16569e

Eval metadata batch 2 : Health Fact, Jigsaw Toxicity, LIAR, LJ Speech, MSRA NER, Multi News, NCBI Disease, Poem Sentiment (#4336)

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* Eval metadata batch 2 : Health Fact, Jigsaw Toxicity, LIAR, LJ Speech, MSRA NER, Multi News, NCBI Disease, PiQA, Poem Sentiment, QAsper

* Update README.md

fixing header

* Update datasets/piqa/README.md

Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

* Update README.md

changing MSRA NER metric to `seqeval`

* Update README.md

removing ROUGE args

* Update README.md

removing duplicate information

* Update README.md

removing eval for now

* Update README.md

removing eval for now

Co-authored-by: sashavor <sasha.luccioni@huggingface.co>
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

Commit from https://github.com/huggingface/datasets/commit/095d12ff7414df118f60e00cd6494299a881743a

Files changed (1) hide show
  1. README.md +51 -2
README.md CHANGED
@@ -19,6 +19,55 @@ task_ids:
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  - named-entity-recognition
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  paperswithcode_id: ncbi-disease-1
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  pretty_name: NCBI Disease
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for NCBI Disease
@@ -63,7 +112,7 @@ pretty_name: NCBI Disease
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  ### Dataset Summary
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- This dataset contains the disease name and concept annotations of the NCBI disease corpus, a collection of 793 PubMed abstracts fully annotated at the mention and concept level to serve as a research resource for the biomedical natural language processing community.
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  ### Supported Tasks and Leaderboards
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@@ -198,4 +247,4 @@ http://www.ncbi.nlm.nih.gov/pubmed/23969135
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  ### Contributions
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- Thanks to [@edugp](https://github.com/edugp) for adding this dataset.
 
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  - named-entity-recognition
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  paperswithcode_id: ncbi-disease-1
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  pretty_name: NCBI Disease
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+ train-eval-index:
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+ - config: ncbi_disease
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+ task: token-classification
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+ task_id: multi_class_classification
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+ splits:
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+ train_split: train
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+ eval_split: test
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+ col_mapping:
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+ tokens: text
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+ ner_tags: target
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+ metrics:
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+ - type: accuracy
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+ name: Accuracy
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+ - type: f1
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+ name: F1 macro
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+ args:
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+ average: macro
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+ - type: f1
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+ name: F1 micro
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+ args:
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+ average: micro
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+ - type: f1
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+ name: F1 weighted
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+ args:
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+ average: weighted
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+ - type: precision
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+ name: Precision macro
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+ args:
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+ average: macro
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+ - type: precision
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+ name: Precision micro
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+ args:
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+ average: micro
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+ - type: precision
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+ name: Precision weighted
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+ args:
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+ average: weighted
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+ - type: recall
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+ name: Recall macro
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+ args:
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+ average: macro
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+ - type: recall
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+ name: Recall micro
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+ args:
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+ average: micro
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+ - type: recall
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+ name: Recall weighted
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+ args:
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+ average: weighted
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  ---
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  # Dataset Card for NCBI Disease
 
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  ### Dataset Summary
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+ This dataset contains the disease name and concept annotations of the NCBI disease corpus, a collection of 793 PubMed abstracts fully annotated at the mention and concept level to serve as a research resource for the biomedical natural language processing community.
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  ### Supported Tasks and Leaderboards
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  ### Contributions
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+ Thanks to [@edugp](https://github.com/edugp) for adding this dataset.