Published April 8, 2022 | Version v1
Dataset Open


  • 1. Bauhaus-Universität Weimar
  • 2. Leipzig University


This is the dataset created for Language Models as Context-sensitive Word Search Engines at the In2Writing workshop at ACL22.



    title =     "Language Models as Context-sensitive Word Search Engines",
    author =    "Wiegmann, Matti and V{\"{o}}lske, Michael and Potthast, Martin and Stein, Benno",
    booktitle = "Proceedings of the 1st Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022)",
    month =     may,
    year =      "2022",
    address =   "Online",
    publisher = "Association for Computational Linguistics",


This repository contains two datasets with word search queries. Each word search query consists of a token n-gram with one wildcard token ([MASK]). The answers to each query are the most likely token to replace the mask. All queries originate from wikitext-103 and CLOTH, the respected source is annotated for each query.

The original-token dataset lists exactly one top answer for each query. The ranked-answers dataset lists multiple, sorted answers in three relevance categories, where 3 is the most relevant. Please refer to the citation for more details.


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