| --- |
| annotations_creators: |
| - unknown |
| language_creators: |
| - unknown |
| language: |
| - en |
| license: |
| - unknown |
| multilinguality: |
| - monolingual |
| task_categories: |
| - text-mining |
| - text-generation |
| task_ids: |
| - keyphrase-generation |
| - keyphrase-extraction |
| size_categories: |
| - 1k<n<10k |
| pretty_name: PubMed |
| --- |
| # Schutz 2008 PubMed dataset for keyphrase extraction |
| ## About |
| |
| This dataset is made of 1320 articles with full text and author assigned keyphrases. |
|
|
| Details about the dataset can be found in the original paper: |
| 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). |
|
|
| |
| 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: |
| - Florian Boudin and Ygor Gallina. 2021. |
| [Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness](https://aclanthology.org/2021.naacl-main.330/). |
| 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. |
| |
| 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. |
| |
| ## Content |
| |
| The dataset is divided into the following three splits: |
| |
| | Split | # documents | # keyphrases by document (average) | % Present | % Reordered | % Mixed | % Unseen | |
| | :--------- | ----------: | -----------: | --------: | ----------: | ------: | -------: | |
| | Test | 1320 | 5.40 | 84.54 | 9.14 | 3.84 | 2.47 | |
| |
| |
| |
| The following data fields are available: |
| - **id**: unique identifier of the document. |
| - **title**: title of the document. |
| - **text**: full article minus the title. |
| - **keyphrases**: list of reference keyphrases. |
| - **prmu**: list of <u>P</u>resent-<u>R</u>eordered-<u>M</u>ixed-<u>U</u>nseen categories for reference keyphrases. |
| |
| **NB**: The present keyphrases (represented by the "P" label in the PRMU column) are sorted by their apparition order in the text (title + text). |
| |
| |
