Datasets:

jeanlee
/

kmhas_korean_hate_speech

	{"default": {
	"description": "Korean Multi-label Hate Speech Dataset - K-MHaS \n a new multi-label dataset for hate speech detection that consists of 109k utterances from Korean online news comments,\n labelled with 8 fine-grained hate speech classes or not hate speech class. \n",
	"citation": "@inproceedings{lee-etal-2022-k,\n title = \"K-{MH}a{S}: A Multi-label Hate Speech Detection Dataset in {K}orean Online News Comment\",\n author = \"Lee, Jean and\n Lim, Taejun and\n Lee, Heejun and\n Jo, Bogeun and\n Kim, Yangsok and\n Yoon, Heegeun and\n Han, Soyeon Caren\",\n booktitle = \"Proceedings of the 29th International Conference on Computational Linguistics\",\n month = oct,\n year = \"2022\",\n address = \"Gyeongju, Republic of Korea\",\n publisher = \"International Committee on Computational Linguistics\",\n url = \"https://aclanthology.org/2022.coling-1.311\",\n pages = \"3530--3538\",\n abstract = \"Online hate speech detection has become an important issue due to the growth of online content, but resources in languages other than English are extremely limited. We introduce K-MHaS, a new multi-label dataset for hate speech detection that effectively handles Korean language patterns. The dataset consists of 109k utterances from news comments and provides a multi-label classification using 1 to 4 labels, and handles subjectivity and intersectionality. We evaluate strong baselines on K-MHaS. KR-BERT with a sub-character tokenizer outperforms others, recognizing decomposed characters in each hate speech class.\",\n}\n",
	"homepage": "https://github.com/adlnlp/K-MHaS",
	"license": "cc-by-sa-4.0",
	"features": {
	"text": {
	"dtype": "string",
	"id": null,
	"_type": "Value"
	},
	"label": {
	"feature": {
	"num_classes": 9,
	"names": [
	"origin",
	"physical",
	"politics",
	"profanity",
	"age",
	"gender",
	"race",
	"religion",
	"not_hate_speech"
	],
	"names_file": null,
	"id": null,
	"_type": "ClassLabel"
	},
	"length": -1,
	"id": null,
	"_type": "Sequence"
	}
	},
	"post_processed": null,
	"supervised_keys": null,
	"builder_name": "kmhas_korean_hate_speech",
	"config_name": "default",
	"version": {
	"version_str": "1.0.0",
	"description": null,
	"major": 1,
	"minor": 0,
	"patch": 0
	},
	"splits": {
	"train": {
	"name": "train",
	"num_bytes": 6845463,
	"num_examples": 78977,
	"dataset_name": "kmhas_korean_hate_speech"
	},
	"validation": {
	"name": "validation",
	"num_bytes": 748899,
	"num_examples": 8776,
	"dataset_name": "kmhas_korean_hate_speech"
	},
	"test": {
	"name": "test",
	"num_bytes": 1902352,
	"num_examples": 21939,
	"dataset_name": "kmhas_korean_hate_speech"
	}
	},
	"download_checksums": {
	"https://raw.githubusercontent.com/adlnlp/K-MHaS/main/data/kmhas_train.txt": {
	"num_bytes": 6845463,
	"checksum": "ca9145afc5fd70a2222094daa427e57a08b309cb42dcce7986528b44eb0e7008"
	},
	"https://raw.githubusercontent.com/adlnlp/K-MHaS/main/data/kmhas_valid.txt": {
	"num_bytes": 748899,
	"checksum": "cb0df9e3cd665125b554d4c5e6f48b0801d5535ead51269134de5b85ae469c18"
	},
	"https://raw.githubusercontent.com/adlnlp/K-MHaS/main/data/kmhas_test.txt": {
	"num_bytes": 1902352,
	"checksum": "9eaf470ee12c445817301d58672349500d6759516a730e879d36d6de17a2051a"
	}
	},
	"download_size": 9496714,
	"post_processing_size": null,
	"dataset_size": 109692,
	"size_in_bytes": 9496714
	}
	}