{"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
    }
}