farbodtavakkoli/OTel-Safety
OTel-Safety Dataset Summary OTel-Safety is a specialized dataset for training large language models to abstain from answering when the retrieved context in a RAG pipeline is insufficient or irrelevant. It is part of the Open Telco (OTel) AI project, the largest open-source AI initiative in telecommunications, curated by over 100 domain experts from industry and academia. In deployed RAG systems, a common failure mode is hallucination when the retrieval step… See the full description on the dataset page: https://huggingface.co/datasets/farbodtavakkoli/OTel-Safety.
| Author / organization | farbodtavakkoli |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 198 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 18 February 2026 |
| Last updated at source | 7 May 2026 |
Popularity, last 4 days
198 now (-6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- mradermacher/Open-Telco-LLM-8.3B-Safety-GGUFModel · used to train
- farbodtavakkoli/OTel-LLM-8.3B-SafetyModel · used to train
- farbodtavakkoli/OTel-LLM-12B-SafetyModel · used to train
Recent changes
- 16 Oct 2026 Description: OTel-Safety Dataset Summary OTel-Safety is a specialized dataset for training large language models to abstain from answering when the retrieved context in a RAG pipeline is insufficient or irrelevant. It is part of the Open Telco (OTel) AI → OTel-Safety Dataset Summary OTel-Safety is a specialized dataset for training large language models to abstain from answering when the retrieved context in a RAG pipeline is insufficient or irrelevant. It is part of the Open Telco (OTel) AI
Changes detected by Silytics between refreshes of the source.
More from farbodtavakkoli
- farbodtavakkoli/OTel-LLMDataset
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