datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CLEVR-HOPE
CLEVR-HOPE
The CLEVR Held-Out Pair Evaluation (CLEVR-HOPE) dataset is a diagnostic dataset for testing the systematicity of VQA models.
CLEVR-HOPE is a controlled setting to test whether VQA models generalize to pairs of attribute values that were not seen during either training or fine-tuning.
Within CLEVR-HOPE, we refer to an unseen pair of attribute values as a Held-Out Pair (HOP). The dataset is composed of 29 sub-datasets, each for a different HOP.
For each of the 29 HOPs, we… See the full description on the dataset page: https://huggingface.co/datasets/user9000/CLEVR-HOPE.Clevr_CoGenT_TrainA_70K_ComplexSuper-CLEVR
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning
[CVPR 2023 Highlight (top 2.5%)]
Paper: Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning
Authors: Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan Yuille
Dataset Description
Super-CLEVR is a synthetic dataset designed to systematically study the domain robustness of visual reasoning models across… See the full description on the dataset page: https://huggingface.co/datasets/RyanWW/Super-CLEVR.clevr_cogen_a_trainClevr_CoGenT_ValAclevr-mathclevrermm_clevrclevr_count_70kThis dataset is borrowed from clevr_cogen_a_train
Clevr_Complex_70kclevr-bboxclevrClevr_CoGenT_TrainA_R1CLEVR_30K_obj_2_3CLEVR_categoriesClevr_CoGenT_ValBclevr_relclevr-changespatial_clevr_numbered_2000clevr-cogent-r1clevr-10-percent-subset
Dataset Card for "clevr-10-percent-subset"
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spatial_clevr_numbered_1000clevr-math-deduplicatedclevr-with-depth-full
Dataset Card for "clevr-with-depth-full"
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clevr-full-v6
Dataset Card for "clevr-full-v6"
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spatial_clevr_numbered_100clevr-with-depth-full-v2
Dataset Card for "clevr-with-depth-full-v2"
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PaliGemma_CLEVR_Datasetclevr-full-v3
Dataset Card for "clevr-full-v3"
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mllm_cl_clevr