Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
hate-speech-detection
Languages:
Portuguese
Size:
1K - 10K
Tags:
instagram
DOI:
ruanchaves
commited on
Commit
•
34af89d
1
Parent(s):
cd14996
add specialists
Browse files
hatebr.py
CHANGED
@@ -47,9 +47,6 @@ class Boun(datasets.GeneratorBasedBuilder):
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{
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"instagram_comments": datasets.Value("string"),
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"offensive_language": datasets.Value("bool"),
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-
"specialist_1_offensive_language": datasets.Value("bool"),
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"specialist_2_offensive_language": datasets.Value("bool"),
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"specialist_3_offensive_language": datasets.Value("bool"),
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"offensiveness_levels": datasets.Value("int32"),
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"antisemitism": datasets.Value("bool"),
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"apology_for_the_dictatorship": datasets.Value("bool"),
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@@ -61,7 +58,10 @@ class Boun(datasets.GeneratorBasedBuilder):
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"sexism": datasets.Value("bool"),
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"xenophobia": datasets.Value("bool"),
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"offensive_&_non-hate_speech": datasets.Value("bool"),
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"non-offensive": datasets.Value("bool")
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}),
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supervised_keys=None,
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homepage="https://github.com/franciellevargas/HateBR",
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@@ -89,9 +89,9 @@ class Boun(datasets.GeneratorBasedBuilder):
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for int_label in categories:
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row[_INT_LABEL_KEY[int(int_label)]] = True
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row["
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row["
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row["
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return row
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records = pd.read_csv(filepath).to_dict("records")
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annotators = pd.read_csv(annotators).to_dict("records")
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{
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"instagram_comments": datasets.Value("string"),
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"offensive_language": datasets.Value("bool"),
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"offensiveness_levels": datasets.Value("int32"),
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"antisemitism": datasets.Value("bool"),
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"apology_for_the_dictatorship": datasets.Value("bool"),
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"sexism": datasets.Value("bool"),
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"xenophobia": datasets.Value("bool"),
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"offensive_&_non-hate_speech": datasets.Value("bool"),
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+
"non-offensive": datasets.Value("bool"),
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"specialist_1_hate_speech": datasets.Value("bool"),
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"specialist_2_hate_speech": datasets.Value("bool"),
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"specialist_3_hate_speech": datasets.Value("bool")
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}),
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supervised_keys=None,
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homepage="https://github.com/franciellevargas/HateBR",
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for int_label in categories:
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row[_INT_LABEL_KEY[int(int_label)]] = True
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+
row["specialist_1_hate_speech"] = bool(int(annotator_row["Avaliador 1"]))
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row["specialist_2_hate_speech"] = bool(int(annotator_row["Avaliador 2"]))
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row["specialist_3_hate_speech"] = bool(int(annotator_row["Avaliador 3"]))
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return row
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records = pd.read_csv(filepath).to_dict("records")
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annotators = pd.read_csv(annotators).to_dict("records")
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