Datasets:
Tasks:
Text Classification
Formats:
json
Languages:
English
Size:
100K - 1M
ArXiv:
Tags:
hate-speech
| configs: | |
| - config_name: AbuseEval | |
| data_files: | |
| - split: explicit_train | |
| path: AbuseEval/explicit_train.jsonl | |
| - split: explicit_test | |
| path: AbuseEval/explicit_test.jsonl | |
| - split: implicit_train | |
| path: AbuseEval/implicit_train.jsonl | |
| - split: implicit_test | |
| path: AbuseEval/implicit_test.jsonl | |
| - config_name: DynaHate | |
| data_files: | |
| - split: explicit_train | |
| path: DynaHate/explicit_train.jsonl | |
| - split: explicit_test | |
| path: DynaHate/explicit_test.jsonl | |
| - split: implicit_train | |
| path: DynaHate/implicit_train.jsonl | |
| - split: implicit_test | |
| path: DynaHate/implicit_test.jsonl | |
| - config_name: Implicit-Hate-Corpus | |
| data_files: | |
| - split: explicit_train | |
| path: Implicit-Hate-Corpus/explicit_train.jsonl | |
| - split: explicit_test | |
| path: Implicit-Hate-Corpus/explicit_test.jsonl | |
| - split: implicit_train | |
| path: Implicit-Hate-Corpus/implicit_train.jsonl | |
| - split: implicit_test | |
| path: Implicit-Hate-Corpus/implicit_test.jsonl | |
| - config_name: IsHate | |
| data_files: | |
| - split: explicit_train | |
| path: IsHate/explicit_train.jsonl | |
| - split: explicit_test | |
| path: IsHate/explicit_test.jsonl | |
| - split: implicit_train | |
| path: IsHate/implicit_train.jsonl | |
| - split: implicit_test | |
| path: IsHate/implicit_test.jsonl | |
| task_categories: | |
| - text-classification | |
| language: | |
| - en | |
| tags: | |
| - hate-speech | |
| size_categories: | |
| - 10K<n<100K | |
| # CADET datasets | |
| <div align="center"> | |
| [](https://github.com/Shu-Wan/cadet) | |
| [](https://arxiv.org/abs/2510.07707) | |
| [](https://www2026.thewebconf.org/accepted.html) | |
| </div> | |
| Datasets for paper "Causality Guided Representation Learning for Cross-Style Hate Speech Detection" | |
| ## Field Descriptions | |
| Across datasets, the following fields are standardized: | |
| - `text_id`: Unique identifier for each text sample (int64, sequential index) | |
| - `text`: Input text content (string) | |
| - `hate_label`: Binary hate label (0=non-hate, 1=hate) | |
| - `avg`: Average Perspective API toxicity score (float, 0.0-1.0) | |
| - `style`: Binary toxicity derived from `avg` (0=non-toxic, 1=toxic) | |
| - `true_style`: Style from file naming (0=implicit, 1=explicit) | |
| - `target`: Target demographic group (string) | |
| - `target_conf`: Confidence score for target annotation (float, 0.0-1.0) | |
| > [!NOTE] How `avg` Is Calculated | |
| > We used the Perspective API to fetch toxicity scores for the following attributes, | |
| > then averaged them per example: | |
| > | |
| > - TOXICITY, SEVERE_TOXICITY, IDENTITY_ATTACK, INSULT, PROFANITY, THREAT | |
| > | |
| > The resulting mean is stored in the `avg` column. | |
| ## Structure | |
| - `<dataset_name>/<true_style>_<split>.jsonl` | |
| - `<dataset_name>/meta_info.json` | |
| ## Meta info | |
| Each dataset folder includes a meta_info.json with: | |
| - dataset, created_at, git_commit | |
| - available_styles, splits, counts per split | |
| - features (standardized schema), label_names, and raw_sources | |
| - Use dataset name as a configuration (subset). | |
| - Use `<true_style>_<split>` as the splits for that configuration. | |
| ## Citation | |
| If you use CADET in your research, please cite: | |
| ```bibtex | |
| @article{zhao2025causality, | |
| title={Causality Guided Representation Learning for Cross-Style Hate Speech Detection}, | |
| author={Zhao, Chengshuai and Wan, Shu and Sheth, Paras and Patwa, Karan and Candan, K Sel{\c{c}}uk and Liu, Huan}, | |
| journal={arXiv preprint arXiv:2510.07707}, | |
| year={2025} | |
| } | |
| ``` |