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Datasets:
taln-ls2n
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taln-archives

Tasks:
Text Generation
Modalities:
Text
Languages:
French
English
Size:
1K - 10K
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metadata
annotations_creators:
  - unknown
language_creators:
  - unknown
languages:
  - fr
  - en
licenses:
  - cc-by-4-0
multilinguality:
  - multilingual
task_categories:
  - text-mining
  - text-generation
task_ids:
  - keyphrase-generation
  - keyphrase-extraction
size_categories:
  - 1K<n<10K
pretty_name: TALN-Archives

TALN-Archives Benchmark Dataset for Keyphrase Generation

About

TALN-Archives is a dataset for benchmarking keyphrase extraction and generation models. The dataset is composed of 1207 abstracts of scientific papers in French collected from the TALN Archives. Keyphrases were annotated by authors in an uncontrolled setting (that is, not limited to thesaurus entries). English translations of title/abstract/keyphrases are also available for a subset of the documents (456 fully- and 719 partially-translated documents), allowing to experiment with cross-lingual / multilingual keyphrase generation. Details about the dataset can be found in the original paper (Boudin, 2013).

Reference (indexer-assigned) keyphrases are also categorized under the PRMU (Present-Reordered-Mixed-Unseen) scheme as proposed in (Boudin and Gallina, 2021). Present reference keyphrases are also ordered by their order of apparition in the concatenation of title and abstract.

Text pre-processing (tokenization) is carried out using spacy (fr_core_news_sm model) with a special rule to avoid splitting words with hyphens (e.g. graph-based is kept as one token). Stemming (Snowball stemmer implementation for french provided in nltk) is applied before reference keyphrases are matched against the source text. Details about the process can be found in prmu.py.

Content and statistics

The dataset contains the following test split:

Split # documents #words # keyphrases % Present % Reordered % Mixed % Unseen
Test 1207 138.3 4.12 53.83 12.32 21.69 12.16

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.
  • translation: translations of title, abstract and keyphrases in English if available.

References