lightonai/ms-marco-en-bge-gemma
ms-marco-en-bge This dataset contains the MS MARCO dataset with negatives mined using ColBERT and then scored by bge-reranker-v2-gemma. It can be used to train a retrieval model using knowledge distillation, for example using PyLate. knowledge distillation To fine-tune a model using knowledge distillation loss we will need three distinct file: Datasetsfrom datasets import load_dataset train = load_dataset( "lightonai/ms-marco-en-gemma", "train"… See the full description on the dataset page: https://huggingface.co/datasets/lightonai/ms-marco-en-bge-gemma.
| Author / organization | lightonai |
|---|---|
| Downloads | 755 (as reported by Hugging Face) |
| Likes | 13 |
| Created | 25 April 2025 |
| Last updated at source | 11 September 2025 |
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755 now (-95 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- topk-io/Iso-ModernColBERTModel · used to train
- NeuML/colbert-muvera-picoModel · used to train
- robro612/ModernBERT-XTRModel · used to train
- robro612/modernbert_xtr_kd_k512Model · used to train
- robro612/modernbert_colbert_kdModel · used to train
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