hf-internal-testing/document-visual-retrieval-test
Model Card: Document Visual Retrieval Test (internal) Dataset Overview This dataset is designed to evaluate the performance of visual retrievers by testing their ability to match a query to a relevant image. Each of the three examples in this dataset contains a text query and an associated image, which is a scanned page from the foundational "Attention is All You Need" paper. The purpose of this dataset is to facilitate the evaluation of visual retrievers, where… See the full description on the dataset page: https://huggingface.co/datasets/hf-internal-testing/document-visual-retrieval-test.
| Author / organization | hf-internal-testing |
|---|---|
| License (as declared) | mit |
| Downloads | 752 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 30 October 2024 |
| Last updated at source | 31 October 2024 |
Recent changes
- 16 Oct 2026 Description: Model Card: Document Visual Retrieval Test (internal) Dataset Overview This dataset is designed to evaluate the performance of visual retrievers by testing their ability to match a query to a relevant image. Each of the three examples in th → Model Card: Document Visual Retrieval Test (internal) Dataset Overview This dataset is designed to evaluate the performance of visual retrievers by testing their ability to match a query to a relevant image. Each of the three examples in th
Changes detected by Silytics between refreshes of the source.
More from hf-internal-testing
- hf-internal-testing/transformers_circleci_workflow_runsDataset
- hf-internal-testing/librispeech_asr_dummyDataset
- hf-internal-testing/audiofolder_two_configs_in_metadataDataset
- hf-internal-testing/dataset_with_scriptDataset
- hf-internal-testing/audiofolder_single_config_in_metadataDataset
- hf-internal-testing/diffusers-imagesDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.