lightonai/embeddings-fine-tuning-filtered-en
Overview This dataset is composed of high quality data sources with mined hard negatives annotated with bi-encoder and cross-encoder scores. It can be used to train a strong retrieval model by itself but is better used after a large-scale contrastive pre-training, for example using our multilingual and English datasets. The negatives were mined following the NV-Retriever setup: the closest documents to each query are mined as negatives, and false negatives are filtered out if… See the full description on the dataset page: https://huggingface.co/datasets/lightonai/embeddings-fine-tuning-filtere
| Author / organization | lightonai |
|---|---|
| Downloads | 706 (as reported by Hugging Face) |
| Likes | 6 |
| Created | 22 April 2026 |
| Last updated at source | 30 July 2026 |
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Connected in the knowledge graph
- nlpai-lab/RenderRank-2BModel · used to train
- DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code SearchPaper · cites
- mradermacher/RenderRank-2B-GGUFModel · used to train
- dmis-lab/UltraBERT-Embed-150MModel · used to train
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