OTel-Embedding is a contrastive learning dataset for training bi-encoder retrieval models using Multiple Negatives Ranking Loss (MNRL). 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.
Each sample consists of an anchor query, one positive passage, and five hard negative passages. The dataset is designed to train… See the full description on the dataset page: https://huggingface.co/datasets/farbodtavakkoli/OTel-Embedding.
