| --- |
| license: cc-by-4.0 |
| language: |
| - de |
| - en |
| task_categories: |
| - text-classification |
| tags: |
| - content-moderation |
| - toxicity |
| - benchmark |
| pretty_name: ChatMod Bench |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: test.jsonl |
| --- |
| |
| # ChatMod Bench |
|
|
| 600 German and English chat messages, half toxic. One question per message: would a |
| moderator in a normal online community remove it or warn the author? |
|
|
| - `chat` (300): gaming and community chat, including harmless look-alikes such as game |
| banter, quotes, reports to moderators and negation |
| - `hatecheck` (300): a sample of HateCheck and German HateCheck |
|
|
| ```json |
| {"id": "cmb-chat-de-1a2b3c4d5e", "text": "...", "label": 1, "lang": "de", "source": "chat", "category": "implied"} |
| ``` |
|
|
| ## Results |
|
|
| | Model | Accuracy | Macro-F1 | |
| |---|---:|---:| |
| | OpenAI omni-moderation-latest | 75.7 % | 0.754 | |
| | axo-native-small-preview | 75.0 % | 0.746 | |
| | Qwen3Guard-Gen-8B | 70.2 % | 0.684 | |
| | Qwen3Guard-Gen-4B | 69.5 % | 0.678 | |
| | Qwen3Guard-Gen-0.6B | 66.2 % | 0.644 | |
|
|
| Default decision rule of each model. Full numbers in `results.json`. |
|
|
| ## Run |
|
|
| ```bash |
| pip install -r requirements.txt |
| python run_benchmark.py --model omni # or axo-native-small-preview, qwen3guard-0.6b/4b/8b |
| python run_benchmark.py --predictions my_model.jsonl # {"id": ..., "flagged": true, "score": 0.93} |
| ``` |
|
|
| ## License |
|
|
| CC BY 4.0. The `hatecheck` part is from HateCheck (Röttger et al., ACL 2021) and |
| Multilingual HateCheck (Röttger et al., WOAH 2022), both CC BY 4.0. Contains offensive |
| language by design. |
|
|
