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ScienceQA-IMG
- huggingface.co
Updated Mar 13, 2024
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EmailClick to copy linkLink copiedCiteLMMs-Lab (2024). ScienceQA-IMG [Dataset]. https://huggingface.co/datasets/lmms-lab/ScienceQA-IMGCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedMar 13, 2024Dataset authored and provided byLMMs-LabDescriptionLarge-scale Multi-modality Models Evaluation Suite
Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval
π Homepage | π Documentation | π€ Huggingface Datasets
This DatasetThis is a formatted and filtered version of derek-thomas/ScienceQA with only image instances. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models. @inproceedings{lu2022learn, title={Learn to Explain:β¦ See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab/ScienceQA-IMG.
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DocVQA
- huggingface.co
ShareFacebookTwitterEmailClick to copy linkLink copiedCiteLMMs-Lab, DocVQA [Dataset]. https://huggingface.co/datasets/lmms-lab/DocVQACroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset authored and provided byLMMs-LabLicenseApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automaticallyDescriptionLarge-scale Multi-modality Models Evaluation Suite
Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval
π Homepage | π Documentation | π€ Huggingface Datasets
This DatasetThis is a formatted version of DocVQA. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models. @article{mathew2020docvqa, title={DocVQA: A Dataset for VQA on Document Images. CoRR abs/2007.00398 (2020)}β¦ See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab/DocVQA.
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textvqa
- huggingface.co
Updated Apr 21, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCiteLMMs-Lab (2024). textvqa [Dataset]. https://huggingface.co/datasets/lmms-lab/textvqaCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedApr 21, 2024Dataset authored and provided byLMMs-LabDescriptionLarge-scale Multi-modality Models Evaluation Suite
Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval
π Homepage | π Documentation | π€ Huggingface Datasets
This DatasetThis is a formatted version of TextVQA. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models. @inproceedings{singh2019towards, title={Towards vqa models that can read}, author={Singh, Amanpreet and⦠See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab/textvqa.
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ChartQA
- huggingface.co
Updated Oct 4, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCiteLMMs-Lab (2024). ChartQA [Dataset]. https://huggingface.co/datasets/lmms-lab/ChartQACroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedOct 4, 2024Dataset authored and provided byLMMs-LabDescriptionLarge-scale Multi-modality Models Evaluation Suite
Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval
π Homepage | π Documentation | π€ Huggingface Datasets
This DatasetThis is a formatted version of ChartQA. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models. @article{masry2022chartqa, title={ChartQA: A benchmark for question answering about charts with visual and⦠See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab/ChartQA.
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ScienceQA
- huggingface.co
Updated Oct 4, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCiteLMMs-Lab (2024). ScienceQA [Dataset]. https://huggingface.co/datasets/lmms-lab/ScienceQACroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedOct 4, 2024Dataset authored and provided byLMMs-LabDescriptionLarge-scale Multi-modality Models Evaluation Suite
Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval
π Homepage | π Documentation | π€ Huggingface Datasets
This DatasetThis is a formatted version of derek-thomas/ScienceQA. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models. @inproceedings{lu2022learn, title={Learn to Explain: Multimodal Reasoning via Thought Chains⦠See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab/ScienceQA.
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FacebookTwitterEmailLarge-scale Multi-modality Models Evaluation Suite
Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval
π Homepage | π Documentation | π€ Huggingface Datasets
This Dataset
This is a formatted and filtered version of derek-thomas/ScienceQA with only image instances. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models. @inproceedings{lu2022learn, title={Learn to Explain:β¦ See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab/ScienceQA-IMG.