Datasets:

owaiskha9654
/

PubMed_MultiLabel_Text_Classification_Dataset_MeSH

Tasks:

Text Classification

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Sub-tasks:

multi-label-classification

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albertvillanova HF staff commited on Oct 25, 2022

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f045a56

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Fix task tags

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@@ -4,11 +4,10 @@ language:
 license: afl-3.0
 source_datasets:
 - BioASQ Task A
 task_categories:
-- MultiLabel Text Classification
 task_ids:
-- BIOBERT Fine Tuned on PubMed Dataset
 ---
 This dataset consists of a approx 50k collection of research articles from **PubMed** repository. Originally these documents are manually annotated by Biomedical Experts with their MeSH labels and each articles are described in terms of 10-15 MeSH labels. In this Dataset we have huge numbers of labels present as a MeSH major which is raising the issue of extremely large output space and severe label sparsity issues. To solve this Issue Dataset has been Processed and mapped to its root as Described in the Below Figure.

 license: afl-3.0
 source_datasets:
 - BioASQ Task A
 task_categories:
+- text-classification
 task_ids:
+- multi-label-classification
 ---
 This dataset consists of a approx 50k collection of research articles from **PubMed** repository. Originally these documents are manually annotated by Biomedical Experts with their MeSH labels and each articles are described in terms of 10-15 MeSH labels. In this Dataset we have huge numbers of labels present as a MeSH major which is raising the issue of extremely large output space and severe label sparsity issues. To solve this Issue Dataset has been Processed and mapped to its root as Described in the Below Figure.