dataset_infos.json

{"multilabel": {"description": "ToLD-Br is the biggest dataset for toxic tweets in Brazilian Portuguese, crowdsourced\nby 42 annotators selected from a pool of 129 volunteers. Annotators were selected aiming\nto create a plural group in terms of demographics (ethnicity, sexual orientation, age, gender).\nEach tweet was labeled by three annotators in 6 possible categories:\nLGBTQ+phobia,Xenophobia, Obscene, Insult, Misogyny and Racism.\n", "citation": "@article{DBLP:journals/corr/abs-2010-04543,\n  author    = {Joao Augusto Leite and\n               Diego F. Silva and\n               Kalina Bontcheva and\n               Carolina Scarton},\n  title     = {Toxic Language Detection in Social Media for Brazilian Portuguese:\n               New Dataset and Multilingual Analysis},\n  journal   = {CoRR},\n  volume    = {abs/2010.04543},\n  year      = {2020},\n  url       = {https://arxiv.org/abs/2010.04543},\n  eprinttype = {arXiv},\n  eprint    = {2010.04543},\n  timestamp = {Tue, 15 Dec 2020 16:10:16 +0100},\n  biburl    = {https://dblp.org/rec/journals/corr/abs-2010-04543.bib},\n  bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n", "homepage": "https://github.com/JAugusto97/ToLD-Br", "license": "https://github.com/JAugusto97/ToLD-Br/blob/main/LICENSE_ToLD-Br.txt ", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "homophobia": {"num_classes": 4, "names": ["zero_votes", "one_vote", "two_votes", "three_votes"], "names_file": null, "id": null, "_type": "ClassLabel"}, "obscene": {"num_classes": 4, "names": ["zero_votes", "one_vote", "two_votes", "three_votes"], "names_file": null, "id": null, "_type": "ClassLabel"}, "insult": {"num_classes": 4, "names": ["zero_votes", "one_vote", "two_votes", "three_votes"], "names_file": null, "id": null, "_type": "ClassLabel"}, "racism": {"num_classes": 4, "names": ["zero_votes", "one_vote", "two_votes", "three_votes"], "names_file": null, "id": null, "_type": "ClassLabel"}, "misogyny": {"num_classes": 4, "names": ["zero_votes", "one_vote", "two_votes", "three_votes"], "names_file": null, "id": null, "_type": "ClassLabel"}, "xenophobia": {"num_classes": 4, "names": ["zero_votes", "one_vote", "two_votes", "three_votes"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "told_br", "config_name": "multilabel", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2978006, "num_examples": 21000, "dataset_name": "told_br"}}, "download_checksums": {"https://raw.githubusercontent.com/JAugusto97/ToLD-Br/main/ToLD-BR.csv": {"num_bytes": 2430416, "checksum": "a905b90d5886b9c80d737aa26c41dd29077155f23b9b857080634a78f8203c90"}}, "download_size": 2430416, "post_processing_size": null, "dataset_size": 2978006, "size_in_bytes": 5408422}, "binary": {"description": "ToLD-Br is the biggest dataset for toxic tweets in Brazilian Portuguese, crowdsourced\nby 42 annotators selected from a pool of 129 volunteers. 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