adding README

README.md

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+---
+annotations_creators:
+- unknown
+language_creators:
+- unknown
+languages:
+- en
+licenses:
+- 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 + abstract).
+