gabrielchua/off-topic
Off-Topic Guardrails Dataset Overview This dataset consists of synthetic LLM system prompts paired with user prompts, classified as either off-topic or on-topic. The aim is to provide realistic, real-world-inspired examples reflecting how large language models (LLMs) are used today for both open-ended and closed-ended tasks, such as text generation and classification. This dataset can be used for training and benchmarking off-topic guardrails.… See the full description on the dataset page: https://huggingface.co/datasets/gabrielchua/off-topic.
| Author / organization | gabrielchua |
|---|---|
| License (as declared) | mit |
| Downloads | 544 (as reported by Hugging Face) |
| Likes | 13 |
| Created | 1 September 2024 |
| Last updated at source | 23 November 2024 |
Connected in the knowledge graph
- govtech/stsb-roberta-base-off-topicModel · used to train
Recent changes
- 16 Oct 2026 Description: Off-Topic Guardrails Dataset Overview This dataset consists of synthetic LLM system prompts paired with user prompts, classified as either off-topic or on-topic. The aim is to provide realistic, real-world-inspired examples reflecting how l → Off-Topic Guardrails Dataset Overview This dataset consists of synthetic LLM system prompts paired with user prompts, classified as either off-topic or on-topic. The aim is to provide realistic, real-world-inspired examples reflecting how l
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