Datasets:
Tasks:
Visual Question Answering
Sub-tasks:
visual-question-answering
Languages:
English
Multilinguality:
monolingual
Language Creators:
machine-generated
Annotations Creators:
machine-generated
Source Datasets:
clevr
ArXiv:
License:
cc-by-4.0
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Cannot get the config names for the dataset.
Error code: ConfigNamesError Exception: FileNotFoundError Message: Couldn't find a dataset script at /src/services/worker/dali-does/clevr-math/clevr-math.py or any data file in the same directory. Couldn't find 'dali-does/clevr-math' on the Hugging Face Hub either: FileNotFoundError: [Errno 2] No such file or directory: '/datasets-server-cache/all/datasets/2023-06-06-20-34-00-dataset-config-names-dali-does-clevr-math-87c8f5ac/downloads/9fee87dedd3c2f9c356a51bea7499cdbf44b0c5e72cdc37f574da0e99a925862.1e49640fa1048d2ced6587f91e42ede9fe8df17eaa2f52d6dbc933b407e36473.py' Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 61, in compute_config_names_response for config in sorted(get_dataset_config_names(path=dataset, use_auth_token=use_auth_token)) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 323, in get_dataset_config_names dataset_module = dataset_module_factory( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1215, in dataset_module_factory raise FileNotFoundError( FileNotFoundError: Couldn't find a dataset script at /src/services/worker/dali-does/clevr-math/clevr-math.py or any data file in the same directory. Couldn't find 'dali-does/clevr-math' on the Hugging Face Hub either: FileNotFoundError: [Errno 2] No such file or directory: '/datasets-server-cache/all/datasets/2023-06-06-20-34-00-dataset-config-names-dali-does-clevr-math-87c8f5ac/downloads/9fee87dedd3c2f9c356a51bea7499cdbf44b0c5e72cdc37f574da0e99a925862.1e49640fa1048d2ced6587f91e42ede9fe8df17eaa2f52d6dbc933b407e36473.py'
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Dataset Card for CLEVR-Math
Dataset Summary
Dataset for compositional multimodal mathematical reasoning based on CLEVR.
Loading the data, preprocessing text with CLIP
from transformers import CLIPPreprocessor
from datasets import load_dataset, DownloadConfig
dl_config = DownloadConfig(resume_download=True,
num_proc=8,
force_download=True)
# Load 'general' instance of dataset
dataset = load_dataset('dali-does/clevr-math', download_config=dl_config)
# Load version with only multihop in test data
dataset_multihop = load_dataset('dali-does/clevr-math', 'multihop',
download_config=dl_config)
model_path = "openai/clip-vit-base-patch32"
extractor = CLIPProcessor.from_pretrained(model_path)
def transform_tokenize(e):
e['image'] = [image.convert('RGB') for image in e['image']]
return extractor(text=e['question'],
images=e['image'],
padding=True)
dataset = dataset.map(transform_tokenize,
batched=True,
num_proc=8,
padding='max_length')
dataset_subtraction = dataset.filter(lambda e:
e['template'].startswith('subtraction'), num_proc=4)
Supported Tasks and Leaderboards
Leaderboard will be announced at a later date.
Languages
The dataset is currently only available in English. To extend the dataset to other languages, the CLEVR templates must be rewritten in the target language.
Dataset Structure
Data Instances
general
containing the default version with multihop questions in train and testmultihop
containing multihop questions only in test data to test generalisation of reasoning
Data Fields
features = datasets.Features(
{
"template": datasets.Value("string"),
"id": datasets.Value("string"),
"question": datasets.Value("string"),
"image": datasets.Image(),
"label": datasets.Value("int64")
}
)
Data Splits
train/val/test
Dataset Creation
Data is generated using code provided with the CLEVR-dataset, using blender and templates constructed by the dataset curators.
Considerations for Using the Data
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
Adam Dahlgren Lindström - dali@cs.umu.se
Licensing Information
Licensed under Creative Commons Attribution Share Alike 4.0 International (CC-by 4.0).
Citation Information
[More Information Needed]
@misc{https://doi.org/10.48550/arxiv.2208.05358,
doi = {10.48550/ARXIV.2208.05358},
url = {https://arxiv.org/abs/2208.05358},
author = {Lindström, Adam Dahlgren and Abraham, Savitha Sam},
keywords = {Machine Learning (cs.LG), Computation and Language (cs.CL), Computer Vision and Pattern Recognition (cs.CV), FOS: Computer and information sciences, FOS: Computer and information sciences, I.2.7; I.2.10; I.2.6; I.4.8; I.1.4},
title = {CLEVR-Math: A Dataset for Compositional Language, Visual, and Mathematical Reasoning},
publisher = {arXiv},
year = {2022},
copyright = {Creative Commons Attribution Share Alike 4.0 International}
}
Contributions
Thanks to @dali-does for adding this dataset.
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