Datasets:

Languages:
Portuguese
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
crowdsourced
Annotations Creators:
crowdsourced
Source Datasets:
original
ArXiv:
License:
albertvillanova HF staff commited on
Commit
fb4f11a
1 Parent(s): 1ad35f1

Delete legacy JSON metadata (#5)

Browse files

- Delete legacy JSON metadata (c2c0a94867d2a3acb99b103e44e732ce2d808b90)

Files changed (1) hide show
  1. dataset_infos.json +0 -1
dataset_infos.json DELETED
@@ -1 +0,0 @@
1
- {"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. 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"}, "label": {"num_classes": 2, "names": ["not-toxic", "toxic"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "told_br", "config_name": "binary", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1709560, "num_examples": 16800, "dataset_name": "told_br"}, "test": {"name": "test", "num_bytes": 216297, "num_examples": 2100, "dataset_name": "told_br"}, "validation": {"name": "validation", "num_bytes": 212153, "num_examples": 2100, "dataset_name": "told_br"}}, "download_checksums": {"https://github.com/JAugusto97/ToLD-Br/raw/main/experiments/data/1annotator.zip": {"num_bytes": 853322, "checksum": "dd470ff58f7bfb05ad80e1c97cdaf00147b6da4684c8518b8120186bee91aa4d"}}, "download_size": 853322, "post_processing_size": null, "dataset_size": 2138010, "size_in_bytes": 2991332}}