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Helsinki-NLP/shroom

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Permissive or share-alike

The declared licence (cc-by-sa-4.0) is classified as share-alike.

Declared licence: cc-by-sa-4.0, from the tagEvidence: README.md at ec55056
Licence files: No licence file at the top level of the repositoryEvidence: file list at ec55056
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

token-classification

Citation text from the card

If you use this dataset, please cite the SemEval-2024 task proceedings:
```bib
@inproceedings{mickus-etal-2024-semeval,
    title = "{S}em{E}val-2024 Task 6: {SHROOM}, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes",
    author = {Mickus, Timothee  and
      Zosa, Elaine  and
      Vazquez, Raul  and
      Vahtola, Teemu  and
      Tiedemann, J{\"o}rg  and
      Segonne, Vincent  and
      Raganato, Alessandro  and
      Apidianaki, Marianna},
    editor = {Ojha, Atul Kr.  and
      Do{\u{g}}ru{\"o}z, A. Seza  and
      Tayyar Madabushi, Harish  and
      Da San Martino, Giovanni  and
      Rosenthal, Sara  and
      Ros{\'a}, Aiala},
    booktitle = "Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.semeval-1.273/",
    doi = "10.18653/v1/2024.semeval-1.273",
    pages = "1979--1993",
    abstract = "This paper presents the results of the SHROOM, a shared task focused on detecting hallucinations: outputs from natural language generation (NLG) systems that are fluent, yet inaccurate. Such cases of overgeneration put in jeopardy many NLG applications, where correctness is often mission-critical. The shared task was conducted with a newly constructed dataset of 4000 model outputs labeled by 5 annotators each, spanning 3 NLP tasks: machine

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dataset_licence({ "id": "Helsinki-NLP/shroom" })
signal: "permissive"
stated_licence: "cc-by-sa-4.0"
sources: 0