Datasets › TallyQA
TallyQA
TallyQA is a large-scale dataset for open-ended counting.
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 | ||||
|---|---|---|---|---|---|---|
| Object Counting | TallyQA-Complex | SMoLA-PaLI-X Specialist Accuracy 77.1 | Omni-SMoLA: Boosting Generalist Multimodal Models with... | — | 6 | Compare |
| Object Counting | TallyQA-Simple | SMoLA-PaLI-X Specialist Accuracy 86.3 | Omni-SMoLA: Boosting Generalist Multimodal Models with... | — | 6 | Compare |
Papers archive 2025-07-28
4 shown of 4 papers 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 33. 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 | |||
|---|---|---|---|---|
| Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models | 0 | 2 | 5 Dec 2023 | not harvested |
| Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts | 0 | 4 | 1 Dec 2023 | not harvested |
| MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond | 1 | 4 | 24 Apr 2020 | not harvested |
| TallyQA: Answering Complex Counting Questions | 1 | 2 | 29 Oct 2018 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Unknown
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- TallyQA
- TallyQA-Simple
- TallyQA-Complex
3 variant names, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections