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Added some description on dataset

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- ---
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- license: agpl-3.0
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- - split: val
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- path: data/val-*
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- - split: test
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- path: data/test-*
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- dataset_info:
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- features:
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- - name: input
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 136602851.95652175
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- num_examples: 7260
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- - name: val
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- num_bytes: 17065948.584650856
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- num_examples: 907
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- - name: test
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- num_bytes: 17084764.40447958
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- num_examples: 908
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- download_size: 82888007
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- dataset_size: 170753564.9456522
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: agpl-3.0
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ - split: val
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+ path: data/val-*
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+ - split: test
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+ path: data/test-*
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+ dataset_info:
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+ features:
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+ - name: input
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+ dtype: string
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+ splits:
17
+ - name: train
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+ num_bytes: 136602851.95652175
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+ num_examples: 7260
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+ - name: val
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+ num_bytes: 17065948.584650856
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+ num_examples: 907
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+ - name: test
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+ num_bytes: 17084764.40447958
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+ num_examples: 908
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+ download_size: 82888007
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+ dataset_size: 170753564.9456522
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+ task_categories:
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+ - text-generation
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+ - question-answering
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+ - summarization
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+ language:
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+ - en
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+ tags:
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+ - biology
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+ - biomedicine
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+ pretty_name: PubMed Referenced Question Answering Dataset
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+ size_categories:
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+ - 1K<n<10K
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+ ---
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+ # Dataset description
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+
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+ The PQAref dataset is a dataset for fine-tuning large language models for referenced question-answering in biomedical domain.
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+
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+ The dataset contains 3 components:
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+ - Instruction - question that is supposed to be answered
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+ - Abstracts - set of 10 relevant abstracts retrieved by IR system from PubMed, containing PubMed id, abstract title and the content of the abstract
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+ - Answer - expected answer, with references
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+
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+ The dataset was created semi-automatically, utilizing questions available from PubMedQA dataset.