dataset_infos.json

{"default": {"description": "Social Bias Frames is a new way of representing the biases and offensiveness that are implied in language. \nFor example, these frames are meant to distill the implication that \"women (candidates) are less qualified\" \nbehind the statement \"we shouldn\u2019t lower our standards to hire more women.\"\n", "citation": "@inproceedings{sap2020socialbiasframes,\n   title={Social Bias Frames: Reasoning about Social and Power Implications of Language},\n   author={Sap, Maarten and Gabriel, Saadia and Qin, Lianhui and Jurafsky, Dan and Smith, Noah A and Choi, Yejin},\n   year={2020},\n   booktitle={ACL},\n}\n", "homepage": "https://homes.cs.washington.edu/~msap/social-bias-frames/", "license": "", "features": {"whoTarget": {"dtype": "string", "id": null, "_type": "Value"}, "intentYN": {"dtype": "string", "id": null, "_type": "Value"}, "sexYN": {"dtype": "string", "id": null, "_type": "Value"}, "sexReason": {"dtype": "string", "id": null, "_type": "Value"}, "offensiveYN": {"dtype": "string", "id": null, "_type": "Value"}, "annotatorGender": {"dtype": "string", "id": null, "_type": "Value"}, "annotatorMinority": {"dtype": "string", "id": null, "_type": "Value"}, "sexPhrase": {"dtype": "string", "id": null, "_type": "Value"}, "speakerMinorityYN": {"dtype": "string", "id": null, "_type": "Value"}, "WorkerId": {"dtype": "string", "id": null, "_type": "Value"}, "HITId": {"dtype": "string", "id": null, "_type": "Value"}, "annotatorPolitics": {"dtype": "string", "id": null, "_type": "Value"}, "annotatorRace": {"dtype": "string", "id": null, "_type": "Value"}, "annotatorAge": {"dtype": "string", "id": null, "_type": "Value"}, "post": {"dtype": "string", "id": null, "_type": "Value"}, "targetMinority": {"dtype": "string", "id": null, "_type": "Value"}, "targetCategory": {"dtype": "string", "id": null, "_type": "Value"}, "targetStereotype": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "social_bias_frames", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "nlp_version_to_prepare": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 5169855, "num_examples": 17501, "dataset_name": "social_bias_frames"}, "validation": {"name": "validation", "num_bytes": 4904733, "num_examples": 16738, "dataset_name": "social_bias_frames"}, "train": {"name": "train", "num_bytes": 32739659, "num_examples": 112900, "dataset_name": "social_bias_frames"}}, "download_checksums": {"https://homes.cs.washington.edu/~msap/social-bias-frames/SocialBiasFrames_v2.tgz": {"num_bytes": 6250039, "checksum": "9d572fc25530789602c58b433ac8a4d3c8e4962e3ba09cab5d135e851b8cec78"}}, "download_size": 6250039, "dataset_size": 42814247, "size_in_bytes": 49064286}}