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# Inspec Benchmark Dataset for Keyphrase Generation |
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## About |
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Inspec is a dataset for benchmarking keyphrase extraction and generation models. |
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The dataset is composed of 2,000 abstracts of scientific papers collected from the [Inspec database](https://www.theiet.org/resources/inspec/). |
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Keyphrases were annotated by professional indexers in an uncontrolled setting, that is, they are not limited to entries in a thesaurus. |
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Details about the inspec dataset can be found in the original paper: |
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- Anette Hulth. 2003. |
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[Improved automatic keyword extraction given more linguistic knowledge](https://aclanthology.org/W03-1028). |
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In Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing, pages 216-223. |
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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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## Content |
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The dataset is divided into the following three splits: |
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| Split | # documents | |
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| Train | 1,000 | |
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| Test | 500 | |
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| Validation | 500 | |
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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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- **abstract**: abstract of the document. |
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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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