Datasets:
Tasks:
Text Classification
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
hate-speech-detection
License:
Commit
•
fc4b46c
1
Parent(s):
799b3ff
Delete legacy dataset_infos.json
Browse files- dataset_infos.json +0 -62
dataset_infos.json
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{
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"default": {
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"description": "An annotated dataset for hate speech and offensive language detection on tweets.\n",
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"citation": "@inproceedings{hateoffensive,\ntitle = {Automated Hate Speech Detection and the Problem of Offensive Language},\nauthor = {Davidson, Thomas and Warmsley, Dana and Macy, Michael and Weber, Ingmar},\nbooktitle = {Proceedings of the 11th International AAAI Conference on Web and Social Media},\nseries = {ICWSM '17},\nyear = {2017},\nlocation = {Montreal, Canada},\npages = {512-515}\n}\n",
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"homepage": "https://github.com/t-davidson/hate-speech-and-offensive-language",
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"license": "MIT",
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"features": {
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"count": {
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"dtype": "int64",
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"_type": "Value"
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},
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"hate_speech_count": {
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"dtype": "int64",
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"_type": "Value"
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},
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"offensive_language_count": {
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"dtype": "int64",
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"_type": "Value"
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},
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"neither_count": {
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"dtype": "int64",
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"_type": "Value"
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},
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"class": {
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"names": [
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"hate speech",
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"offensive language",
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"neither"
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],
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"_type": "ClassLabel"
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},
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"tweet": {
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"dtype": "string",
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"_type": "Value"
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}
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},
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"supervised_keys": {
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"input": "tweet",
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"output": "class"
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},
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"builder_name": "hate_speech_offensive",
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"dataset_name": "hate_speech_offensive",
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"config_name": "default",
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"version": {
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"version_str": "1.0.0",
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"major": 1,
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"minor": 0,
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"patch": 0
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},
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"splits": {
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"train": {
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"name": "train",
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"num_bytes": 3207814,
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"num_examples": 24783,
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"dataset_name": null
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}
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},
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"download_size": 1627672,
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"dataset_size": 3207814,
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"size_in_bytes": 4835486
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}
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}
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