id
stringlengths
4
7
image
imagewidth (px)
276
640
n473704
n104777
n91896
n287878
n163567
n236639
n222606
n382526
n348119
n28227
n421461
n160075
n574378
n74889
n2427
n49490
n67898
n266691
n115255
n366212
n348762
n480510
n107909
n217927
n11185
n69762
n225292
n345750
n311775
n122223
n248915
n267602
n400441
n215042
n253841
n320771
n213994
n377227
n104364
n163088
n287296
n306254
n391959
n525198
n386787
n63402
n180069
n255636
n342923
n554697
n26870
n258948
n481175
n182692
n554609
n480886
n571477
n284968
n238362
n204544
n137324
n345896
n520465
n444609
n294894
n521434
n486283
n125721
n499337
n359964
n56880
n204485
n32881
n266191
n1595
n2553
n3469
n488353
n527036
n123404
n115628
n21395
n398072
n134809
n329389
n258260
n566544
n517784
n73160
n474323
n313103
n272554
n4638
n512639
n278909
n255927
n508587
n263494
n569843
n14349

Large-scale Multi-modality Models Evaluation Suite

Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval

🏠 Homepage | 📚 Documentation | 🤗 Huggingface Datasets

This Dataset

This is a formatted version of GQA. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.

@inproceedings{hudson2019gqa,
  title={Gqa: A new dataset for real-world visual reasoning and compositional question answering},
  author={Hudson, Drew A and Manning, Christopher D},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={6700--6709},
  year={2019}
}
Downloads last month
13,773

Collection including lmms-lab/GQA