Datasets:
refresd

- {"default": {"description": "The Rationalized English-French Semantic Divergences (REFreSD) dataset consists of 1,039 \nEnglish-French sentence-pairs annotated with sentence-level divergence judgments and token-level \nrationales. For any questions, write to ebriakou@cs.umd.edu.\n", "citation": "@inproceedings{briakou-carpuat-2020-detecting,\n title = \"Detecting Fine-Grained Cross-Lingual Semantic Divergences without Supervision by Learning to Rank\",\n author = \"Briakou, Eleftheria and Carpuat, Marine\",\n booktitle = \"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)\",\n month = nov,\n year = \"2020\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://www.aclweb.org/anthology/2020.emnlp-main.121\",\n pages = \"1563--1580\",\n}\n", "homepage": "https://github.com/Elbria/xling-SemDiv/tree/master/REFreSD", "license": "", "features": {"sentence_en": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_fr": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["divergent", "equivalent"], "names_file": null, "id": null, "_type": "ClassLabel"}, "all_labels": {"num_classes": 3, "names": ["unrelated", "some_meaning_difference", "no_meaning_difference"], "names_file": null, "id": null, "_type": "ClassLabel"}, "rationale_en": {"dtype": "string", "id": null, "_type": "Value"}, "rationale_fr": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "refresd", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 501562, "num_examples": 1039, "dataset_name": "refresd"}}, "download_checksums": {"https://raw.githubusercontent.com/Elbria/xling-SemDiv/master/REFreSD/REFreSD_rationale": {"num_bytes": 503977, "checksum": "d0ee606a8e73f0a6c22b9ec4d7e02a827e48d8b8d65ea2585b6cd9e11fe6b1f0"}}, "download_size": 503977, "post_processing_size": null, "dataset_size": 501562, "size_in_bytes": 1005539}}