Inspec Benchmark Dataset for Keyphrase Generation

About

Inspec is a dataset for benchmarking keyphrase extraction and generation models. The dataset is composed of 2,000 abstracts of scientific papers collected from the Inspec database. Keyphrases were annotated by professional indexers in an uncontrolled setting (that is, not limited to thesaurus entries). Details about the inspec dataset can be found in the original paper:

Anette Hulth. 2003. Improved automatic keyword extraction given more linguistic knowledge. In Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing, pages 216-223.

Reference (indexer-assigned) keyphrases are also categorized under the PRMU (Present-Reordered-Mixed-Unseen) scheme as proposed in the following paper:

Florian Boudin and Ygor Gallina. 2021. Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness. 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.

Content

The dataset is divided into the following three splits:

Split	# documents	# keyphrases	% Present	% Reordered	% Mixed	% Unseen
Train	1,000	9.79	77.83	9.90	6.30	5.98
Test	500	9.83	78.49	9.82	6.76	4.92
Validation	500	9.15	77.90	9.82	6.74	5.54

The following data fields are available :

id: unique identifier of the document.
title: title of the document.
abstract: abstract of the document.
keyphrases: list of reference keyphrases.
prmu: list of Present-Reordered-Mixed-Unseen categories for reference keyphrases.