Datasets:
metadata
license: cc-by-4.0
dataset_info:
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configs:
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data_files:
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path: HOP00/test_complex_ood-*
- split: test_complex_iid
path: HOP00/test_complex_iid-*
- split: train
path: HOP00/train-*
default: true
- config_name: HOP01
data_files:
- split: test_complex_ood
path: HOP01/test_complex_ood-*
- split: test_complex_iid
path: HOP01/test_complex_iid-*
- split: train
path: HOP01/train-*
- config_name: HOP02
data_files:
- split: test_complex_ood
path: HOP02/test_complex_ood-*
- split: test_complex_iid
path: HOP02/test_complex_iid-*
- split: train
path: HOP02/train-*
- config_name: HOP03
data_files:
- split: test_complex_ood
path: HOP03/test_complex_ood-*
- split: test_complex_iid
path: HOP03/test_complex_iid-*
- split: train
path: HOP03/train-*
- split: test_minimal_ood
path: HOP03/test_minimal_ood-*
- config_name: HOP04
data_files:
- split: test_complex_ood
path: HOP04/test_complex_ood-*
- split: test_complex_iid
path: HOP04/test_complex_iid-*
- split: train
path: HOP04/train-*
- split: test_minimal_ood
path: HOP04/test_minimal_ood-*
- config_name: HOP05
data_files:
- split: test_complex_ood
path: HOP05/test_complex_ood-*
- split: test_complex_iid
path: HOP05/test_complex_iid-*
- split: train
path: HOP05/train-*
- split: test_minimal_ood
path: HOP05/test_minimal_ood-*
- config_name: HOP06
data_files:
- split: test_complex_ood
path: HOP06/test_complex_ood-*
- split: test_complex_iid
path: HOP06/test_complex_iid-*
- split: train
path: HOP06/train-*
- config_name: HOP07
data_files:
- split: test_complex_ood
path: HOP07/test_complex_ood-*
- split: test_complex_iid
path: HOP07/test_complex_iid-*
- split: train
path: HOP07/train-*
- split: test_minimal_ood
path: HOP07/test_minimal_ood-*
- config_name: HOP08
data_files:
- split: test_complex_ood
path: HOP08/test_complex_ood-*
- split: test_complex_iid
path: HOP08/test_complex_iid-*
- split: train
path: HOP08/train-*
- config_name: HOP09
data_files:
- split: test_complex_ood
path: HOP09/test_complex_ood-*
- split: test_complex_iid
path: HOP09/test_complex_iid-*
- split: train
path: HOP09/train-*
- split: test_minimal_ood
path: HOP09/test_minimal_ood-*
- config_name: HOP10
data_files:
- split: test_complex_ood
path: HOP10/test_complex_ood-*
- split: test_complex_iid
path: HOP10/test_complex_iid-*
- split: train
path: HOP10/train-*
- config_name: HOP11
data_files:
- split: test_complex_ood
path: HOP11/test_complex_ood-*
- split: test_complex_iid
path: HOP11/test_complex_iid-*
- split: train
path: HOP11/train-*
- config_name: HOP12
data_files:
- split: test_complex_ood
path: HOP12/test_complex_ood-*
- split: test_complex_iid
path: HOP12/test_complex_iid-*
- split: train
path: HOP12/train-*
- config_name: HOP13
data_files:
- split: test_complex_ood
path: HOP13/test_complex_ood-*
- split: test_complex_iid
path: HOP13/test_complex_iid-*
- split: train
path: HOP13/train-*
- config_name: HOP14
data_files:
- split: test_complex_ood
path: HOP14/test_complex_ood-*
- split: test_complex_iid
path: HOP14/test_complex_iid-*
- split: train
path: HOP14/train-*
- config_name: HOP15
data_files:
- split: test_complex_ood
path: HOP15/test_complex_ood-*
- split: test_complex_iid
path: HOP15/test_complex_iid-*
- split: train
path: HOP15/train-*
- config_name: HOP16
data_files:
- split: test_complex_ood
path: HOP16/test_complex_ood-*
- split: test_complex_iid
path: HOP16/test_complex_iid-*
- split: train
path: HOP16/train-*
- config_name: HOP17
data_files:
- split: test_complex_ood
path: HOP17/test_complex_ood-*
- split: test_complex_iid
path: HOP17/test_complex_iid-*
- split: train
path: HOP17/train-*
- config_name: HOP18
data_files:
- split: test_complex_ood
path: HOP18/test_complex_ood-*
- split: test_complex_iid
path: HOP18/test_complex_iid-*
- split: train
path: HOP18/train-*
- config_name: HOP19
data_files:
- split: test_complex_ood
path: HOP19/test_complex_ood-*
- split: test_complex_iid
path: HOP19/test_complex_iid-*
- split: train
path: HOP19/train-*
- config_name: HOP20
data_files:
- split: test_complex_ood
path: HOP20/test_complex_ood-*
- split: test_complex_iid
path: HOP20/test_complex_iid-*
- split: train
path: HOP20/train-*
- config_name: HOP21
data_files:
- split: test_complex_ood
path: HOP21/test_complex_ood-*
- split: test_complex_iid
path: HOP21/test_complex_iid-*
- split: train
path: HOP21/train-*
- config_name: HOP22
data_files:
- split: test_complex_ood
path: HOP22/test_complex_ood-*
- split: test_complex_iid
path: HOP22/test_complex_iid-*
- split: train
path: HOP22/train-*
- config_name: HOP23
data_files:
- split: test_complex_ood
path: HOP23/test_complex_ood-*
- split: test_complex_iid
path: HOP23/test_complex_iid-*
- split: train
path: HOP23/train-*
- config_name: HOP24
data_files:
- split: test_complex_ood
path: HOP24/test_complex_ood-*
- split: test_complex_iid
path: HOP24/test_complex_iid-*
- split: train
path: HOP24/train-*
- config_name: HOP25
data_files:
- split: test_complex_ood
path: HOP25/test_complex_ood-*
- split: test_complex_iid
path: HOP25/test_complex_iid-*
- split: train
path: HOP25/train-*
- config_name: HOP26
data_files:
- split: test_complex_ood
path: HOP26/test_complex_ood-*
- split: test_complex_iid
path: HOP26/test_complex_iid-*
- split: train
path: HOP26/train-*
- config_name: HOP27
data_files:
- split: test_complex_ood
path: HOP27/test_complex_ood-*
- split: test_complex_iid
path: HOP27/test_complex_iid-*
- split: train
path: HOP27/train-*
- config_name: HOP28
data_files:
- split: test_complex_ood
path: HOP28/test_complex_ood-*
- split: test_complex_iid
path: HOP28/test_complex_iid-*
- split: train
path: HOP28/train-*
task_categories:
- question-answering
annotations_creators:
- machine-generated
language:
- en
tags:
- CLEVR
- CLEVR-HOPE
- VQA
- arxiv:2311.08695
pretty_name: CLEVR-HOPE
size_categories:
- 100M<n<1B
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 have the train split, and 4 test splits: minimal-IID, minimal-OOD, complex-IID, and complex-OOD.
A list of the 29 HOPs can be found at Listing of HOPs; each HOP is represented as a 4-tuple of the form (Size, Colour, Shape, Material). If the HOP does not constrain an attribute, then None is used in the corresponding position in the 4-tuple. Note that each HOP is numbered according to their index on this list. For example HOP0 is rubber cylinder, a.k.a. (None, None, 'cylinder', 'rubber'), and HOP28 is small purple, a.k.a. ('small', 'purple', None, None).
For further design details, please see the paper: https://doi.org/10.48550/arXiv.2311.08695
The full data set is available for download at the Internet Archive, that variant contains additional metadata and is deduplicated for reduced storage space.
Listing of HOPs
- HOP00:
(None, None, 'cylinder', 'rubber') - HOP01:
(None, 'cyan', None, 'rubber') - HOP02:
('large', None, None, 'rubber') - HOP03:
(None, 'cyan', 'cylinder', None) - HOP04:
('large', None, 'cylinder', None) - HOP05:
('large', 'cyan', None, None) - HOP06:
(None, None, 'sphere', 'rubber') - HOP07:
(None, 'brown', None, 'rubber') - HOP08:
('small', None, None, 'rubber') - HOP09:
(None, 'brown', 'sphere', None) - HOP10:
('small', None, 'sphere', None) - HOP11:
('small', 'brown', None, None) - HOP12:
(None, None, 'cylinder', 'metal') - HOP13:
(None, 'red', None, 'metal') - HOP14:
('small', None, None, 'metal') - HOP15:
(None, 'red', 'cylinder', None) - HOP16:
('small', None, 'cylinder', None) - HOP17:
('small', 'red', None, None) - HOP18:
(None, None, 'cube', 'metal') - HOP19:
(None, 'gray', None, 'metal') - HOP20:
('large', None, None, 'metal') - HOP21:
(None, 'gray', 'cube', None) - HOP22:
('large', None, 'cube', None) - HOP23:
('large', 'gray', None, None) - HOP24:
(None, None, 'cube', 'rubber') - HOP25:
(None, 'purple', None, 'rubber') - HOP26:
(None, 'purple', 'sphere', None) - HOP27:
('small', None, 'cube', None) - HOP28:
('small', 'purple', None, None)
If you found this data useful to your work, then please cite the original paper:
@inproceedings{berlot-attwell-etal-2024-attribute,
title = "Attribute Diversity Determines the Systematicity Gap in {VQA}",
author = "Berlot-Attwell, Ian and
Agrawal, Kumar Krishna and
Carrell, Annabelle Michael and
Sharma, Yash and
Saphra, Naomi",
editor = "Al-Onaizan, Yaser and
Bansal, Mohit and
Chen, Yun-Nung",
booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",
month = nov,
year = "2024",
address = "Miami, Florida, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.emnlp-main.537/",
doi = "10.18653/v1/2024.emnlp-main.537",
pages = "9576--9611",
abstract = "Although modern neural networks often generalize to new combinations of familiar concepts, the conditions that enable such compositionality have long been an open question. In this work, we study the systematicity gap in visual question answering: the performance difference between reasoning on previously seen and unseen combinations of object attributes. To test, we introduce a novel diagnostic dataset, CLEVR-HOPE. We find that the systematicity gap is not reduced by increasing the quantity of training data, but is reduced by increasing the diversity of training data. In particular, our experiments suggest that the more distinct attribute type combinations are seen during training, the more systematic we can expect the resulting model to be."
}