wino_x / dataset_infos.json
demelin
First version of the wino_x dataset.
2e8d854
raw
history blame contribute delete
No virus
13.3 kB
{"mt_en_de": {"description": "Wino-X is a parallel dataset of German, French, and Russian Winograd schemas, aligned with their English \ncounterparts, used to examine whether neural machine translation models can perform coreference resolution that \nrequires commonsense knowledge and whether multilingual language models are capable of commonsense reasoning across \nmultiple languages.\n", "citation": "@inproceedings{Emelin2021WinoXMW,\n title={Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution},\n author={Denis Emelin and Rico Sennrich},\n booktitle={EMNLP},\n year={2021}\n}\n", "homepage": "https://github.com/demelin/Wino-X", "license": "MIT", "features": {"qID": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation1": {"dtype": "string", "id": null, "_type": "Value"}, "translation2": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "int64", "id": null, "_type": "Value"}, "pronoun1": {"dtype": "string", "id": null, "_type": "Value"}, "pronoun2": {"dtype": "string", "id": null, "_type": "Value"}, "referent1_en": {"dtype": "string", "id": null, "_type": "Value"}, "referent2_en": {"dtype": "string", "id": null, "_type": "Value"}, "true_translation_referent_of_pronoun1_de": {"dtype": "string", "id": null, "_type": "Value"}, "true_translation_referent_of_pronoun2_de": {"dtype": "string", "id": null, "_type": "Value"}, "false_translation_referent_of_pronoun1_de": {"dtype": "string", "id": null, "_type": "Value"}, "false_translation_referent_of_pronoun2_de": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wino_x", "config_name": "mt_en_de", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1601793, "num_examples": 3774, "dataset_name": "wino_x"}}, "download_checksums": {"https://huggingface.co/datasets/demelin/wino_x/resolve/main/data/mt/en_de_test.jsonl": {"num_bytes": 2700026, "checksum": "1d18e0dcff2aae54b0ae28a43b61483e97225451d7286e4224657b2b3d93a03a"}}, "download_size": 2700026, "post_processing_size": null, "dataset_size": 1601793, "size_in_bytes": 4301819}, "mt_en_fr": {"description": "Wino-X is a parallel dataset of German, French, and Russian Winograd schemas, aligned with their English \ncounterparts, used to examine whether neural machine translation models can perform coreference resolution that \nrequires commonsense knowledge and whether multilingual language models are capable of commonsense reasoning across \nmultiple languages.\n", "citation": "@inproceedings{Emelin2021WinoXMW,\n title={Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution},\n author={Denis Emelin and Rico Sennrich},\n booktitle={EMNLP},\n year={2021}\n}\n", "homepage": "https://github.com/demelin/Wino-X", "license": "MIT", "features": {"qID": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation1": {"dtype": "string", "id": null, "_type": "Value"}, "translation2": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "int64", "id": null, "_type": "Value"}, "pronoun1": {"dtype": "string", "id": null, "_type": "Value"}, "pronoun2": {"dtype": "string", "id": null, "_type": "Value"}, "referent1_en": {"dtype": "string", "id": null, "_type": "Value"}, "referent2_en": {"dtype": "string", "id": null, "_type": "Value"}, "true_translation_referent_of_pronoun1_fr": {"dtype": "string", "id": null, "_type": "Value"}, "true_translation_referent_of_pronoun2_fr": {"dtype": "string", "id": null, "_type": "Value"}, "false_translation_referent_of_pronoun1_fr": {"dtype": "string", "id": null, "_type": "Value"}, "false_translation_referent_of_pronoun2_fr": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wino_x", "config_name": "mt_en_fr", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1320197, "num_examples": 2988, "dataset_name": "wino_x"}}, "download_checksums": {"https://huggingface.co/datasets/demelin/wino_x/resolve/main/data/mt/en_fr_test.jsonl": {"num_bytes": 2189704, "checksum": "b5b64309b596769e1faabdf2c302c5fe9a0869d972ce39000015f0d8d76c72bb"}}, "download_size": 2189704, "post_processing_size": null, "dataset_size": 1320197, "size_in_bytes": 3509901}, "mt_en_ru": {"description": "Wino-X is a parallel dataset of German, French, and Russian Winograd schemas, aligned with their English \ncounterparts, used to examine whether neural machine translation models can perform coreference resolution that \nrequires commonsense knowledge and whether multilingual language models are capable of commonsense reasoning across \nmultiple languages.\n", "citation": "@inproceedings{Emelin2021WinoXMW,\n title={Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution},\n author={Denis Emelin and Rico Sennrich},\n booktitle={EMNLP},\n year={2021}\n}\n", "homepage": "https://github.com/demelin/Wino-X", "license": "MIT", "features": {"qID": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation1": {"dtype": "string", "id": null, "_type": "Value"}, "translation2": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "int64", "id": null, "_type": "Value"}, "pronoun1": {"dtype": "string", "id": null, "_type": "Value"}, "pronoun2": {"dtype": "string", "id": null, "_type": "Value"}, "referent1_en": {"dtype": "string", "id": null, "_type": "Value"}, "referent2_en": {"dtype": "string", "id": null, "_type": "Value"}, "true_translation_referent_of_pronoun1_ru": {"dtype": "string", "id": null, "_type": "Value"}, "true_translation_referent_of_pronoun2_ru": {"dtype": "string", "id": null, "_type": "Value"}, "false_translation_referent_of_pronoun1_ru": {"dtype": "string", "id": null, "_type": "Value"}, "false_translation_referent_of_pronoun2_ru": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wino_x", "config_name": "mt_en_ru", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1314290, "num_examples": 2238, "dataset_name": "wino_x"}}, "download_checksums": {"https://huggingface.co/datasets/demelin/wino_x/resolve/main/data/mt/en_ru_test.jsonl": {"num_bytes": 1965547, "checksum": "94f232e299b1f27cb97cdae15e25f2e6157b974abfda0754fca91a6d5bea0d7d"}}, "download_size": 1965547, "post_processing_size": null, "dataset_size": 1314290, "size_in_bytes": 3279837}, "lm_en_de": {"description": "Wino-X is a parallel dataset of German, French, and Russian Winograd schemas, aligned with their English \ncounterparts, used to examine whether neural machine translation models can perform coreference resolution that \nrequires commonsense knowledge and whether multilingual language models are capable of commonsense reasoning across \nmultiple languages.\n", "citation": "@inproceedings{Emelin2021WinoXMW,\n title={Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution},\n author={Denis Emelin and Rico Sennrich},\n booktitle={EMNLP},\n year={2021}\n}\n", "homepage": "https://github.com/demelin/Wino-X", "license": "MIT", "features": {"qID": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "context_en": {"dtype": "string", "id": null, "_type": "Value"}, "context_de": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "int64", "id": null, "_type": "Value"}, "option1_en": {"dtype": "string", "id": null, "_type": "Value"}, "option2_en": {"dtype": "string", "id": null, "_type": "Value"}, "option1_de": {"dtype": "string", "id": null, "_type": "Value"}, "option2_de": {"dtype": "string", "id": null, "_type": "Value"}, "context_referent_of_option1_de": {"dtype": "string", "id": null, "_type": "Value"}, "context_referent_of_option2_de": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wino_x", "config_name": "lm_en_de", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 2432303, "num_examples": 5835, "dataset_name": "wino_x"}}, "download_checksums": {"https://huggingface.co/datasets/demelin/wino_x/resolve/main/data/lm/en_de_test.jsonl": {"num_bytes": 3465097, "checksum": "aa91c114832c351c7c4a836041120efc9b5cca2c1620ffcdc5f7f4fa1a7af613"}}, "download_size": 3465097, "post_processing_size": null, "dataset_size": 2432303, "size_in_bytes": 5897400}, "lm_en_fr": {"description": "Wino-X is a parallel dataset of German, French, and Russian Winograd schemas, aligned with their English \ncounterparts, used to examine whether neural machine translation models can perform coreference resolution that \nrequires commonsense knowledge and whether multilingual language models are capable of commonsense reasoning across \nmultiple languages.\n", "citation": "@inproceedings{Emelin2021WinoXMW,\n title={Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution},\n author={Denis Emelin and Rico Sennrich},\n booktitle={EMNLP},\n year={2021}\n}\n", "homepage": "https://github.com/demelin/Wino-X", "license": "MIT", "features": {"qID": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "context_en": {"dtype": "string", "id": null, "_type": "Value"}, "context_fr": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "int64", "id": null, "_type": "Value"}, "option1_en": {"dtype": "string", "id": null, "_type": "Value"}, "option2_en": {"dtype": "string", "id": null, "_type": "Value"}, "option1_fr": {"dtype": "string", "id": null, "_type": "Value"}, "option2_fr": {"dtype": "string", "id": null, "_type": "Value"}, "context_referent_of_option1_fr": {"dtype": "string", "id": null, "_type": "Value"}, "context_referent_of_option2_fr": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wino_x", "config_name": "lm_en_fr", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1184932, "num_examples": 2793, "dataset_name": "wino_x"}}, "download_checksums": {"https://huggingface.co/datasets/demelin/wino_x/resolve/main/data/lm/en_fr_test.jsonl": {"num_bytes": 1679293, "checksum": "5eb5baeba31db9c20aafb5379e80d14b0a32d69d4d3a9925c4a1ee7e77eb11d1"}}, "download_size": 1679293, "post_processing_size": null, "dataset_size": 1184932, "size_in_bytes": 2864225}, "lm_en_ru": {"description": "Wino-X is a parallel dataset of German, French, and Russian Winograd schemas, aligned with their English \ncounterparts, used to examine whether neural machine translation models can perform coreference resolution that \nrequires commonsense knowledge and whether multilingual language models are capable of commonsense reasoning across \nmultiple languages.\n", "citation": "@inproceedings{Emelin2021WinoXMW,\n title={Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution},\n author={Denis Emelin and Rico Sennrich},\n booktitle={EMNLP},\n year={2021}\n}\n", "homepage": "https://github.com/demelin/Wino-X", "license": "MIT", "features": {"qID": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "context_en": {"dtype": "string", "id": null, "_type": "Value"}, "context_ru": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "int64", "id": null, "_type": "Value"}, "option1_en": {"dtype": "string", "id": null, "_type": "Value"}, "option2_en": {"dtype": "string", "id": null, "_type": "Value"}, "option1_ru": {"dtype": "string", "id": null, "_type": "Value"}, "option2_ru": {"dtype": "string", "id": null, "_type": "Value"}, "context_referent_of_option1_ru": {"dtype": "string", "id": null, "_type": "Value"}, "context_referent_of_option2_ru": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wino_x", "config_name": "lm_en_ru", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 753838, "num_examples": 1487, "dataset_name": "wino_x"}}, "download_checksums": {"https://huggingface.co/datasets/demelin/wino_x/resolve/main/data/lm/en_ru_test.jsonl": {"num_bytes": 1017037, "checksum": "1bd110d3bc11e5f3034f7040fca56a818607182a52df42dcfa16d606528c2a25"}}, "download_size": 1017037, "post_processing_size": null, "dataset_size": 753838, "size_in_bytes": 1770875}}