Datasets:
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Download README.md from beyoru/Qwen3.5-SafeProbe-data: direct link, hf CLI and curl.
- Browser
- Download file 1.84 kB
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https://huggingface.co/datasets/beyoru/Qwen3.5-SafeProbe-data/resolve/main/README.md
- Command line
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hf download hf://datasets/beyoru/Qwen3.5-SafeProbe-data/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/datasets/beyoru/Qwen3.5-SafeProbe-data/resolve/main/README.md
1.84 kB
| license: cc-by-sa-4.0 | |
| language: [vi, en] | |
| task_categories: [text-classification] | |
| tags: [safety, guardrail, content-moderation, prompt-injection, jailbreak] | |
| pretty_name: Qwen3.5-SafeProbe training data | |
| extra_gated_prompt: "Access is granted manually for research on AI safety only. This dataset contains harmful, offensive and sexual text." | |
| extra_gated_fields: | |
| Affiliation: text | |
| Intended use: text | |
| # Qwen3.5-SafeProbe — training data | |
| Training and held-out test data for [beyoru/Qwen3.5-SafeProbe-2B](https://huggingface.co/beyoru/Qwen3.5-SafeProbe-2B). | |
| > ⚠️ Contains harmful, hateful, sexual and otherwise offensive text, collected for training safety classifiers. | |
| | File | Rows | unsafe | safe | | |
| |---|---|---|---| | |
| | `misa/train.jsonl` | 31,832 | 11,117 | 20,715 | | |
| | `misa/test.jsonl` | 3,565 | 1,315 | 2,250 | | |
| | `standard/train.jsonl` | 71,774 | 29,257 | 42,517 | | |
| | `standard/test.jsonl` | 7,908 | 3,287 | 4,621 | | |
| | `misa/token_head_train.jsonl` | 12,000 | span-labelled long inputs + 3,500 long agent-internal prompts (safe, hard negatives) | | | |
| | `standard/token_head_train.jsonl` | 8,500 | span-labelled long inputs | | | |
| - `misa/`: MISA policy (Vietnamese law + enterprise-agent rules). `standard/`: public-benchmark convention. | |
| - Row format: `{"id", "source", "label": "safe"|"unsafe", "messages": [OpenAI-style]}`; token-head rows add `unsafe_span` / `safe_span` (the inserted request inside a long input). | |
| - Test splits are held out by scenario; training data was decontaminated against WildGuardTest, ToxicChat, OpenAI Moderation, Aegis 2.0, JBB, SimpleSafetyTests, XSTest and MultiJail. | |
| Includes material derived from WildGuardMix (ODC-BY), Aegis 2.0 / Nemotron-Safety-Guard (CC-BY-4.0), Nailyk14/prompt-safety-multilingual-v2 (mixed, incl. CC-BY-SA-4.0) and WildChat (ODC-BY), plus synthetic and proprietary data. | |