Update README.md

README.md

@@ -15,7 +15,7 @@ Details about the process can be found in `prmu.py`.
 
 ## Content and statistics
 
-The dataset is divided into the following three splits:
+The dataset contains the following test split:
 
 | Split      | # documents | #words | # keyphrases | % Present | % Reordered | % Mixed | % Unseen |
 | :--------- | ----------: | -----: | -----------: | --------: | ----------: | ------: | -------: |
@@ -32,10 +32,10 @@ The following data fields are available :
 ## References
 
 - (Bougouin et al., 2013) Adrien Bougouin, Florian Boudin, and Béatrice Daille. 2013.
-  [TopicRank: Graph-Based Topic Ranking for Keyphrase Extraction](https://aclanthology.org/I13-1062/).
+  [TopicRank: Graph-Based Topic Ranking for Keyphrase Extraction][bougouin-2013].
   In Proceedings of the Sixth International Joint Conference on Natural Language Processing, pages 543–551, Nagoya, Japan. Asian Federation of Natural Language Processing.
 - (Boudin and Gallina, 2021) Florian Boudin and Ygor Gallina. 2021.
-  [Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness](https://aclanthology.org/2021.naacl-main.330/). 
+  [Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness][boudin-2021]. 
   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.
 
 [bougouin-2013]: https://aclanthology.org/I13-1062/