Datasets:
winograd_wsc

- {"wsc285": {"description": "A Winograd schema is a pair of sentences that differ in only one or two words and that contain an ambiguity that is\nresolved in opposite ways in the two sentences and requires the use of world knowledge and reasoning for its\nresolution. The schema takes its name from a well-known example by Terry Winograd:\n\n> The city councilmen refused the demonstrators a permit because they [feared/advocated] violence.\n\nIf the word is ``feared'', then ``they'' presumably refers to the city council; if it is ``advocated'' then ``they''\npresumably refers to the demonstrators.\n", "citation": "@inproceedings{levesque2012winograd,\n title={The winograd schema challenge},\n author={Levesque, Hector and Davis, Ernest and Morgenstern, Leora},\n booktitle={Thirteenth International Conference on the Principles of Knowledge Representation and Reasoning},\n year={2012},\n organization={Citeseer}\n}\n", "homepage": "https://cs.nyu.edu/faculty/davise/papers/WinogradSchemas/WS.html", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "pronoun": {"dtype": "string", "id": null, "_type": "Value"}, "pronoun_loc": {"dtype": "int32", "id": null, "_type": "Value"}, "quote": {"dtype": "string", "id": null, "_type": "Value"}, "quote_loc": {"dtype": "int32", "id": null, "_type": "Value"}, "options": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "label": {"num_classes": 2, "names": ["0", "1"], "names_file": null, "id": null, "_type": "ClassLabel"}, "source": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "winograd_wsc", "config_name": "wsc285", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 52281, "num_examples": 285, "dataset_name": "winograd_wsc"}}, "download_checksums": {"https://cs.nyu.edu/faculty/davise/papers/WinogradSchemas/WSCollection.xml": {"num_bytes": 113235, "checksum": "98c845a5b33c109f2c49742e726fac592bbb1fdc3b3706b604de12f9c9f58c91"}}, "download_size": 113235, "post_processing_size": null, "dataset_size": 52281, "size_in_bytes": 165516}, "wsc273": {"description": "A Winograd schema is a pair of sentences that differ in only one or two words and that contain an ambiguity that is\nresolved in opposite ways in the two sentences and requires the use of world knowledge and reasoning for its\nresolution. The schema takes its name from a well-known example by Terry Winograd:\n\n> The city councilmen refused the demonstrators a permit because they [feared/advocated] violence.\n\nIf the word is ``feared'', then ``they'' presumably refers to the city council; if it is ``advocated'' then ``they''\npresumably refers to the demonstrators.\n", "citation": "@inproceedings{levesque2012winograd,\n title={The winograd schema challenge},\n author={Levesque, Hector and Davis, Ernest and Morgenstern, Leora},\n booktitle={Thirteenth International Conference on the Principles of Knowledge Representation and Reasoning},\n year={2012},\n organization={Citeseer}\n}\n", "homepage": "https://cs.nyu.edu/faculty/davise/papers/WinogradSchemas/WS.html", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "pronoun": {"dtype": "string", "id": null, "_type": "Value"}, "pronoun_loc": {"dtype": "int32", "id": null, "_type": "Value"}, "quote": {"dtype": "string", "id": null, "_type": "Value"}, "quote_loc": {"dtype": "int32", "id": null, "_type": "Value"}, "options": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "label": {"num_classes": 2, "names": ["0", "1"], "names_file": null, "id": null, "_type": "ClassLabel"}, "source": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "winograd_wsc", "config_name": "wsc273", "version": "0.0.0", "splits": {"test": {"name": "test", "num_bytes": 49674, "num_examples": 273, "dataset_name": "winograd_wsc"}}, "download_checksums": {"https://cs.nyu.edu/faculty/davise/papers/WinogradSchemas/WSCollection.xml": {"num_bytes": 113235, "checksum": "98c845a5b33c109f2c49742e726fac592bbb1fdc3b3706b604de12f9c9f58c91"}}, "download_size": 113235, "post_processing_size": null, "dataset_size": 49674, "size_in_bytes": 162909}}