Datasets › FETA Car-Manuals
FETA Car-Manuals (FETA Car-Manuals dataset, image-text retrieval for foundation models' expert data performance.)
FETA benchmark focuses on text-to-image and image-to-text retrieval in public car manuals and sales catalogue brochures. The FETA Car-Manuals dataset consists of a total of 349 PDF documents from 5 car manufacturers, namely Nissan, Toyota, Mazda, Renault, Chevrolet.
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Image Retrieval | FETA Car-Manuals | FETA's CLIP-MIL (Many-Shot Image-to-text) R@1 29 | FETA: Towards Specializing Foundation Models for Expert... | alfassy/FETA | 1 | Compare |
| Image-to-Text Retrieval | FETA Car-Manuals | FETA's CLIP-MIL (Many-Shot Image-to-text) R@1 35.5 | FETA: Towards Specializing Foundation Models for Expert... | alfassy/FETA | 1 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| FETA: Towards Specializing Foundation Models for Expert Task Applications | 1 | 2 | 8 Sep 2022 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- FETA Car-Manuals
1 variant name, as the archive lists them.
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