Datasets:
metadata
license: apache-2.0
task_categories:
- token-classification
- text-classification
language:
- en
- es
pretty_name: meta4xnli
size_categories:
- 1K<n<10K
Dataset Card for Dataset Name
Meta4XNLI is a parallel dataset with annotations in English and Spanish for metaphor detection at token level (13320 sentences) and metaphor interpretation framed within NLI the task (9990 premise-hypothesis pairs). It is a collection of existing NLI datasets manually labeled for both metaphor tasks.
- Repository: data available also in .tsv format at https://github.com/elisanchez-beep/meta4xnli
- Paper: Meta4XNLI: A Crosslingual Parallel Corpus for Metaphor Detection and Interpretation
Dataset Sources
Meta4XNLI is a collection of XNLI and esXNLI datasets with metaphor annotations.
Dataset Structure
The dataset is divided according to detection and interpretation tasks.
- Detection: labels at token level.
- splits: train, dev and test files for fine-tuning and evaluation.
- source_datasets: splits by original source dataset and premises and hypotheses for evaluation.
- Intepretation: set of sentences split by metaphor occurrence. Non-relevant cases include sentences with metaphors, however, their literal interpretation is not necessary to extract the inference label.
- splits: train, dev and test files for fine-tuning and evaluation.
- source_datasets: splits by original source dataset and metaphor presence.
Dataset Fields
Detection:
- "id": example id
- "tokens": list of text split.
- "tags": list of metaphor annotations for each token.
- 0: literal
- 1: metaphor
Interpretation:
- "language": Spanish (es) or English (en)
- "gold_label": inference label: entailment, neutral or contradiction
- "sentence1": premise
- "sentence2": hypothesis
- "promptID": premise id
- "pairID": premise and hypothesis pair id
- "genre": text domain
- "source_dataset": original dataset: {xnli.dev, xnli.test, esxnli}
Citation [optional]
If you use Meta4XNLI, please cite our work:
@misc{sanchezbayona2024meta4xnli,
title={Meta4XNLI: A Crosslingual Parallel Corpus for Metaphor Detection and Interpretation},
author={Elisa Sanchez-Bayona and Rodrigo Agerri},
year={2024},
eprint={2404.07053},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
Dataset Card Contact
{elisa.sanchez, rodrigo.agerri}@ehu.eus