vidore/vidore_v3_finance_en_mteb_format
Vidore3FinanceEnRetrieval An MTEB dataset Massive Text Embedding Benchmark Retrieve associated pages according to questions. Task category t2i Domains Academic Reference https://huggingface.co/blog/QuentinJG/introducing-vidore-v3 Source datasets: vidore/vidore_v3_finance_en How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_task("Vidore3FinanceEnRetrieval")… See the full description on the dataset page: https://huggingface.co/datasets/vidore/vidore_v3_finance_en_mteb_format.
| Author / organization | vidore |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.6K (as reported by Hugging Face) |
| Likes | 1 |
| Created | 5 November 2025 |
| Last updated at source | 5 November 2025 |
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- 17 Oct 2026 Description: Vidore3FinanceEnRetrieval An MTEB dataset Massive Text Embedding Benchmark Retrieve associated pages according to questions. Task category t2i Domains Academic Reference https://huggingface.co/blog/QuentinJG/introducing-vidore-v3 Source dat → Vidore3FinanceEnRetrieval An MTEB dataset Massive Text Embedding Benchmark Retrieve associated pages according to questions. Task category t2i Domains Academic Reference https://huggingface.co/blog/QuentinJG/introducing-vidore-v3 Source dat
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