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README.md

@@ -9,7 +9,7 @@ license:
 - cc-by-sa-4.0
 multilinguality:
 - monolingual
-pretty_name: Korean Multi-label Hate Speech Dataset - K-MHaS
+pretty_name: K-MHaS_Korean Multi-label Hate Speech Dataset
 size_categories:
 - 100K<n<1M
 source_datasets:
@@ -92,7 +92,7 @@ dataset_info:
 
 ### Dataset Summary
 
-The Korean Multi-label Hate Speech Dataset, **K-MHaS**, consists of 109,692 utterances from Korean online news comments, labelled with 8 fine-grained hate speech classes (labels: `Politics`, `Origin`, `Physical`, `Age`, `Gender`, `Religion`, `Race`, `Profanity`) or `Not Hate Speech` class. Each utterance provides from a single to four labels that can handles Korean language patterns effectively. For more details, please refer to our paper about [K-MHaS](https://aclanthology.org/2022.coling-1.311), published at COLING 2022.
+The Korean Multi-label Hate Speech Dataset, **K-MHaS**, consists of 109,692 utterances from Korean online news comments, labelled with 8 fine-grained hate speech classes (labels: `Politics`, `Origin`, `Physical`, `Age`, `Gender`, `Religion`, `Race`, `Profanity`) or `Not Hate Speech` class. Each utterance provides from a single to four labels that can handles Korean language patterns effectively. For more details, please refer to our paper about [**K-MHaS**](https://aclanthology.org/2022.coling-1.311), published at COLING 2022.
 
 ### Supported Tasks and Leaderboards
 Hate Speech Detection

dataset_infos.json

@@ -0,0 +1,86 @@
+{
+    "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",
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+                "_type": "Value"
+            },
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+                    "names": [
+                        "origin",
+                        "physical",
+                        "politics",
+                        "profanity",
+                        "age",
+                        "gender",
+                        "race",
+                        "religion",
+                        "not hate speech"
+                    ],
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+                    "id": null,
+                    "_type": "ClassLabel"
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+                "_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,
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+        },
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+                "num_examples": 78977,
+                "dataset_name": "kmhas_korean_hate_speech"
+            },
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+                "num_examples": 8776,
+                "dataset_name": "kmhas_korean_hate_speech"
+            },
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+                "name": "test",
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+                "num_examples": 421939,
+                "dataset_name": "kmhas_korean_hate_speech"
+            }
+        },
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+}