coref-data/winogrande_coref

Wingrande Recast as Coreference Resolution

Dataset Summary

WinoGrande train and development sets recast as coreference resolution as described in Investigating Failures to Generalize for Coreference Resolution Models. Conllu columns are parsed using Stanza.

Data Fields

{
  "id": str, # example id
  "text": str, # untokenized example text
  "sentences": [
    {
      "id": int, # sentence index
      "text": str, # untokenized sentence text
      "speaker": None, # speaker
      "tokens": [
        {
          # keys are conllu columns: id, text, lemma, upos, xpos, feats, head, deprel, deps, misc
        },
        ...
      ]
    },
    ...
  ],
  "coref_chains": List[List[List[int]]], # list of clusters, each cluster is a list of mentions, each mention is a span represented as [sent, start, end] inclusive
  "genre": "crowdsourced",
  "meta_data": {
      "comment": "syntax_annotations=stanza|tokenizer=stanza|detokenizer=nltk",
  },
}

Citation Information

@misc{porada2023investigating,
    title={Investigating Failures to Generalize for Coreference Resolution Models},
    author={Ian Porada and Alexandra Olteanu and Kaheer Suleman and Adam Trischler and Jackie Chi Kit Cheung},
    year={2023},
    eprint={2303.09092},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}

@InProceedings{ai2:winogrande,
  title = {WinoGrande: An Adversarial Winograd Schema Challenge at Scale},
  authors={Keisuke, Sakaguchi and Ronan, Le Bras and Chandra, Bhagavatula and Yejin, Choi
  },
  year={2019}
}