sentence-transformers/natural-questions
Dataset Card for Natural Questions This dataset is a collection of question-answer pairs from the Natural Questions dataset. See Natural Questions for additional information. This dataset can be used directly with Sentence Transformers to train embedding models. Dataset Subsets pair subset Columns: "question", "answer" Column types: str, str Examples:{ 'query': 'the si unit of the electric field is', 'answer': 'Electric field An electric field… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/natural-questions.
| Author / organization | sentence-transformers |
|---|---|
| Downloads | 2.7K (as reported by Hugging Face) |
| Likes | 51 |
| Created | 30 April 2024 |
| Last updated at source | 30 April 2024 |
Popularity, last 2 days
2,737 now (+3 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- tomaarsen/csr-mxbai-embed-large-v1-nq-originalModel · used to train
- sparse-encoder-testing/splade-bert-tiny-nqModel · used to train
- tomaarsen/csr-mxbai-embed-large-v1-nq-cos-sim-scale-20-gamma-0.5-detach-2Model · used to train
- tomaarsen/csr-mxbai-embed-large-v1-nq-cos-sim-scale-5-gamma-0.1Model · used to train
- tomaarsen/csr-mxbai-embed-large-v1-nqModel · used to train
- sparse-encoder-testing/splade-bert-tiny-nq-openvinoModel · used to train
- tomaarsen/mpnet-base-natural-questions-mnrlModel · used to train
- sparse-encoder-testing/splade-bert-tiny-nq-onnxModel · used to train
- jaredpalmer/kev-27bModel · used to train
- mradermacher/Llama-3.2-3B-Instruct-natural-questions-i1-GGUFModel · used to train
- tomaarsen/csr-mxbai-embed-large-v1-nq-cos-sim-scale-5-gamma-1-detach-2Model · used to train
- tasksource/ModernBERT-base-embedModel · used to train
- tomaarsen/csr-mxbai-embed-large-v1-nq-cos-sim-scale-50-gamma-0.1-detach-2Model · used to train
- mradermacher/Llama-3.2-3B-Instruct-natural-questions-GGUFModel · used to train
- tomaarsen/mpnet-base-nq-promptsModel · used to train
- keeeeenw/MicroLlama-text-embeddingModel · used to train
- tomaarsen/csr-mxbai-embed-large-v1-nq-2Model · used to train
- mondk/Msh-Tiny-47MModel · used to train
- tomaarsen/csr-mxbai-embed-large-v1-nq-cos-sim-scale-5-gamma-0.1-detach-2Model · used to train
- tomaarsen/csr-mxbai-embed-large-v1-nq-updated-reconstruction-2Model · used to train
- tomaarsen/csr-mxbai-embed-large-v1-nq-ogModel · used to train
- tomaarsen/csr-mxbai-embed-large-v1-nq-nanobeirModel · used to train
- tomaarsen/mpnet-base-nqModel · used to train
- tomaarsen/csr-mxbai-embed-large-v1-nq-cos-sim-scale-20-gamma-1-detach-2Model · used to train
- tomaarsen/csr-mxbai-embed-large-v1-nq-cos-sim-scale-20-gamma-1Model · used to train
- mradermacher/kev-27b-GGUFModel · used to train
- tomaarsen/csr-mxbai-embed-large-v1-nq-no-reconstructionModel · used to train
- tomaarsen/bert-base-nq-promptsModel · used to train
- tomaarsen/csr-mxbai-embed-large-v1-nq-no-base-lossModel · used to train
- tomaarsen/bert-base-nqModel · used to train
More from sentence-transformers
- sentence-transformers/stsbDataset
- sentence-transformers/eli5Dataset
- sentence-transformers/NanoBEIR-enDataset
- sentence-transformers/miraclDataset
- sentence-transformers/all-nliDataset
- sentence-transformers/mldrDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.