lightonai/embeddings-fine-tuning-multilingual-unfiltered
Overview This dataset provides multilingual and code retrieval data for fine-tuning text embedding models. It is composed of high quality data sources with mined documents annotated with bi-encoder scores. For each query, the 2048 closest documents are mined with snowflake-arctic-embed-l-v2.0 for MIRACL and MLDR and with gte-modernbert-base for CodeEditSearchTrain, and annotated with their bi-encoder similarity score. No false-negative filtering or cross-encoder annotation is… See the full description on the dataset page: https://huggingface.co/datasets/lightonai/embeddings-fine-tuning-multili
| Author / organization | lightonai |
|---|---|
| Downloads | 1K (as reported by Hugging Face) |
| Likes | 5 |
| Created | 9 July 2026 |
| Last updated at source | 30 July 2026 |
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