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Imaging · dataset · 2023

lmms-lab-encoder/GQA

Listed in Hugging Face Datasets

Description

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… See the full description on the dataset page: huggingface.co/datasets/lmms-lab-encoder/GQA.

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Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetslmms-lab-encoder/GQA11 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[modality].hf_modality:imagesource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0