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--- |
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annotations_creators: |
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- unknown |
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language_creators: |
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- unknown |
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language: |
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- en |
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license: |
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- unknown |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 1k<n<10k |
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task_categories: |
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- text-generation |
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task_ids: [] |
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pretty_name: PubMed |
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tags: |
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- keyphrase-generation |
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- keyphrase-extraction |
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- text-mining |
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--- |
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# Schutz 2008 PubMed dataset for keyphrase extraction |
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## About |
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This dataset is made of 1320 articles with full text and author assigned keyphrases. |
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Details about the dataset can be found in the original paper: |
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Keyphrase extraction from single documents in the open domain exploiting linguistic and statistical methods. Alexander Thorsten Schutz. Master's thesis, National University of Ireland (2008). |
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Reference (indexer-assigned) keyphrases are also categorized under the PRMU (<u>P</u>resent-<u>R</u>eordered-<u>M</u>ixed-<u>U</u>nseen) scheme as proposed in the following paper: |
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- Florian Boudin and Ygor Gallina. 2021. |
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[Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness](https://aclanthology.org/2021.naacl-main.330/). |
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In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 4185–4193, Online. Association for Computational Linguistics. |
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Text pre-processing (tokenization) is carried out using spacy (en_core_web_sm model) with a special rule to avoid splitting words with hyphens (e.g. graph-based is kept as one token). Stemming (Porter's stemmer implementation provided in nltk) is applied before reference keyphrases are matched against the source text. |
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## Content |
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The details of the dataset are in the table below: |
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| Split | # documents | # keyphrases by document (average) | % Present | % Reordered | % Mixed | % Unseen | |
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| :--------- | ----------: | -----------: | --------: | ----------: | ------: | -------: | |
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| Test | 1320 | 5.40 | 84.54 | 9.14 | 3.84 | 2.47 | |
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The following data fields are available: |
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- **id**: unique identifier of the document. |
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- **title**: title of the document. |
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- **text**: full article minus the title. |
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- **keyphrases**: list of reference keyphrases. |
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- **prmu**: list of <u>P</u>resent-<u>R</u>eordered-<u>M</u>ixed-<u>U</u>nseen categories for reference keyphrases. |
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**NB**: The present keyphrases (represented by the "P" label in the PRMU column) are sorted by their apparition order in the text (title + text). |
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