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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - text-generation
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+ - text2text-generation
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+ language:
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+ - en
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+ tags:
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+ - keyword-generation
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+ - Science
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+ - Research
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+ - Academia
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+ - Innovation
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+ - Technology
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+ pretty_name: scientific papers with their author keywords
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+ ---
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+ # SciDocs Keywords exKEYliWORD
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+
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+ ## Dataset Description
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+
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+ `SciDocs2Keywords` is a dataset consisting of scientific papers (title and abstract) and their associated author-provided keywords. It is designed for use in task of keyword extraction or abstraction.
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+
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+ Each entry in the dataset includes:
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+ - Title: The title of the scientific paper.
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+ - Abstract: A brief summary of the paper.
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+ - Author Keywords: Keywords provided by the authors to highlight the main topics or concepts of the paper.
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+ - Source: Paper provider source API.
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+
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+ ## Associated Model
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+
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+ soon...
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+
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+ ## How to Use
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+ To use this dataset for model training or evaluation, you can load it using the Hugging Face `datasets` library as follows:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("nicolauduran45/scidocs-keywords-exkeyliword")
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+ print(dataset[0])
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+ ```