mteb/VoyageMMarcoReranking
VoyageMMarcoReranking An MTEB dataset Massive Text Embedding Benchmark a hard-negative augmented version of the Japanese MMARCO dataset as used in Voyage AI Evaluation Suite Task category t2t Domains Academic, Non-fiction, Written Reference https://arxiv.org/abs/2312.16144 How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_tasks(["VoyageMMarcoReranking"]) evaluator… See the full description on the dataset page: https://huggingface.co/datasets/mteb/VoyageMMarcoReranking.
| Author / organization | mteb |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 196 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 18 February 2025 |
| Last updated at source | 24 February 2026 |
Popularity, last 3 days
196 now. Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: VoyageMMarcoReranking An MTEB dataset Massive Text Embedding Benchmark a hard-negative augmented version of the Japanese MMARCO dataset as used in Voyage AI Evaluation Suite Task category t2t Domains Academic, Non-fiction, Written Reference → VoyageMMarcoReranking An MTEB dataset Massive Text Embedding Benchmark a hard-negative augmented version of the Japanese MMARCO dataset as used in Voyage AI Evaluation Suite Task category t2t Domains Academic, Non-fiction, Written Reference
Changes detected by Silytics between refreshes of the source.
More from mteb
- mteb/resultsDataset
- mteb/sts12-stsDataset
- mteb/nfcorpusDataset
- mteb/banking77Dataset
- mteb/amazon_massive_intentDataset
- mteb/scifactDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.