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--- |
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license: apache-2.0 |
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task_categories: |
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- token-classification |
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- text-classification |
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language: |
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- en |
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- es |
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pretty_name: meta4xnli |
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size_categories: |
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- 1K<n<10K |
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configs: |
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- config_name: det_es_finetune |
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data_files: |
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- split: train |
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path: detection/splits/es/meta4xnli_train.jsonl |
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- split: dev |
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path: detection/splits/es/meta4xnli_dev.jsonl |
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- split: test |
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path: detection/splits/es/meta4xnli_test.jsonl |
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- config_name: det_en_finetune |
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data_files: |
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- split: train |
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path: detection/splits/en/meta4xnli_train.jsonl |
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- split: dev |
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path: detection/splits/en/meta4xnli_dev.jsonl |
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- split: test |
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path: detection/splits/en/meta4xnli_test.jsonl |
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- config_name: det_es_eval |
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data_files: |
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- split: esxnli_prem |
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path: detection/source_datasets/es/esxnli_prem.jsonl |
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- split: esxnli_hyp |
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path: detection/source_datasets/es/esxnli_hyp.jsonl |
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- split: xnli_dev_prem |
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path: detection/source_datasets/es/xnli_dev_prem.jsonl |
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- split: xnli_dev_hyp |
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path: detection/source_datasets/es/xnli_dev_hyp.jsonl |
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- split: xnli_test_prem |
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path: detection/source_datasets/es/xnli_test_prem.jsonl |
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- split: xnli_test_hyp |
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path: detection/source_datasets/es/xnli_test_hyp.jsonl |
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- config_name: det_en_eval |
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data_files: |
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- split: esxnli_prem |
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path: detection/source_datasets/en/esxnli_prem.jsonl |
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- split: esxnli_hyp |
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path: detection/source_datasets/en/esxnli_hyp.jsonl |
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- split: xnli_dev_prem |
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path: detection/source_datasets/en/xnli_dev_prem.jsonl |
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- split: xnli_dev_hyp |
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path: detection/source_datasets/en/xnli_dev_hyp.jsonl |
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- split: xnli_test_prem |
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path: detection/source_datasets/en/xnli_test_prem.jsonl |
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- split: xnli_test_hyp |
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path: detection/source_datasets/en/xnli_test_hyp.jsonl |
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- config_name: int_finetune |
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datafiles: |
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- split: train_no_met |
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path : interpretation/splits/train_no_met.jsonl |
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- split: train_met |
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path: interpretation/splits/train_met.jsonl |
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- split: train_nonrelevant |
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path: interpretation/splits/train_nonrelevant.jsonl |
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- split: dev_no_met |
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path: interpretation/splits/dev_no_met.jsonl |
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- split: dev_met |
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path: interpretation/splits/dev_met.jsonl |
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- split: dev_nonrelevant |
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path: interpretation/splits/dev_nonrelevant.jsonl |
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- split: test_no_met |
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path: interpretation/splits/test_no_met.jsonl |
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- split: test_met |
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path: interpretation/splits/test_met.jsonl |
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- split: test_nonrelevant |
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path: interpretation/splits/test_nonrelevant.jsonl |
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- config_name: int_eval |
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datafiles: |
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- split: esxnli_met |
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path : interpretation/source_datasets/esxnli_met.jsonl |
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- split: esxnli_no_met |
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path : interpretation/source_datasets/esxnli_no_met.jsonl |
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- split: esxnli_nonrelevant |
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path : interpretation/source_datasets/esxnli_nonrelevant.jsonl |
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- split: xnli_dev_met |
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path : interpretation/source_datasets/xnli_dev_met.jsonl |
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- split: xnli_dev_no_met |
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path : interpretation/source_datasets/xnli_dev_no_met.jsonl |
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- split: xnli_dev_nonrelevant |
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path : interpretation/source_datasets/xnli_dev_nonrelevant.jsonl |
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- split: xnli_test_met |
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path : interpretation/source_datasets/xnli_test_met.jsonl |
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- split: xnli_test_no_met |
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path : interpretation/source_datasets/xnli_test_no_met.jsonl |
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- split: xnli_test_nonrelevant |
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path : interpretation/source_datasets/xnli_test_nonrelevant.jsonl |
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|
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--- |
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|
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# Dataset Card for Dataset Name |
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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). |
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It is a collection of existing NLI datasets manually labeled for both metaphor tasks. |
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- **Repository**: data available also in .tsv format at https://github.com/elisanchez-beep/meta4xnli |
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- **Paper**: [Meta4XNLI: A Crosslingual Parallel Corpus for Metaphor Detection and Interpretation](https://arxiv.org/pdf/2404.07053.pdf) |
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### Dataset Sources |
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Meta4XNLI is a collection of [XNLI](xnli) and [esXNLI](https://aclanthology.org/2020.emnlp-main.618/) datasets with metaphor annotations. |
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## Dataset Structure |
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The dataset is divided according to detection and interpretation tasks. |
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- Detection: labels at token level. |
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- splits: train, dev and test files for fine-tuning and evaluation. |
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- source_datasets: splits by original source dataset and premises and hypotheses for evaluation. |
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- 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. |
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- splits: train, dev and test files for fine-tuning and evaluation. |
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- source_datasets: splits by original source dataset and metaphor presence. |
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## Dataset Fields |
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- Detection: |
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- "id": example id |
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- "tokens": list of text split. |
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- "tags": list of metaphor annotations for each token. |
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- 0: literal |
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- 1: metaphor |
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- Interpretation: |
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- "language": Spanish (es) or English (en) |
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- "gold_label": inference label: entailment, neutral or contradiction |
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- "sentence1": premise |
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- "sentence2": hypothesis |
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- "promptID": premise id |
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- "pairID": premise and hypothesis pair id |
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- "genre": text domain |
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- "source_dataset": original dataset: {xnli.dev, xnli.test, esxnli} |
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## Citation [optional] |
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If you use Meta4XNLI, please cite our work: |
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``` |
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@misc{sanchezbayona2024meta4xnli, |
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title={Meta4XNLI: A Crosslingual Parallel Corpus for Metaphor Detection and Interpretation}, |
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author={Elisa Sanchez-Bayona and Rodrigo Agerri}, |
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year={2024}, |
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eprint={2404.07053}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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``` |
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## Dataset Card Contact |
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{elisa.sanchez, rodrigo.agerri}@ehu.eus |
