datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
textvqa
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 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-encoder/textvqa.GQA
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: https://huggingface.co/datasets/lmms-lab-encoder/GQA.DocVQA
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 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)}… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-encoder/DocVQA.VQAv2MMMUThis is a merged version of MMMU/MMMU with all subsets concatenated.
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 MMMU. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.
@article{yue2023mmmu,
title={Mmmu: A… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-encoder/MMMU.POPE
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 POPE. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.
@article{li2023evaluating,
title={Evaluating object hallucination in large vision-language models}… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-encoder/POPE.LLaVA-OneVision-Data
Dataset Card for LLaVA-OneVision
[2024-09-01]: Uploaded VisualWebInstruct(filtered), it's used in OneVision Stage
almost all subsets are uploaded with HF's required format and you can use the recommended interface to download them and follow our code below to convert them.
the subset of ureader_kg and ureader_qa are uploaded with the processed jsons and tar.gz of image folders.
You may directly download them from the following url.… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab/LLaVA-OneVision-Data.MME
Evaluation Dataset for MME
EgoIT-99KCheckout the paper EgoLife (https://arxiv.org/abs/2503.03803) for more information.
SEED-Bench
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 SEED-Bench. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.
@article{li2023seed,
title={Seed-bench: Benchmarking multimodal llms with generative comprehension}… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-encoder/SEED-Bench.MMBenchScienceQA
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 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… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-encoder/ScienceQA.ChartQA
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 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-encoder/ChartQA.ai2d@misc{kembhavi2016diagram,
title={A Diagram Is Worth A Dozen Images},
author={Aniruddha Kembhavi and Mike Salvato and Eric Kolve and Minjoon Seo and Hannaneh Hajishirzi and Ali Farhadi},
year={2016},
eprint={1603.07396},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
LLaVA-ReCap-CC12MRealWorldQAVizWiz-VQA
Dataset Card for "VizWiz-VQA"
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 VizWiz-VQA. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.
@inproceedings{gurari2018vizwiz,
title={Vizwiz grand… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-encoder/VizWiz-VQA.LMMs-Eval-Liteflickr30k
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 flickr30k. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.
@article{young-etal-2014-image,
title = "From image descriptions to visual denotations: New similarity… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-encoder/flickr30k.llava-bench-in-the-wild
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 LLaVA-Bench(wild) that is used in LLaVA. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.
@misc{liu2023improvedllava,
author={Liu, Haotian and Li, Chunyuan… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-encoder/llava-bench-in-the-wild.OK-VQARefCOCO
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 RefCOCO. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.
@inproceedings{kazemzadeh-etal-2014-referitgame,
title = "{R}efer{I}t{G}ame: Referring to Objects in… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-encoder/RefCOCO.vstar-benchCOCO-Caption
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 COCO-Caption-2014-version. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.
@misc{lin2015microsoft,
title={Microsoft COCO: Common Objects in Context}… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-encoder/COCO-Caption.EASI-Leaderboard-Data
EASI Leaderboard Data
A consolidated dataset for the EASI Leaderboard, containing the evaluation data (inputs/prompts) actually used on the leaderboard across spatial reasoning benchmarks for VLMs.
Looking for the Spatial Intelligence leaderboard?https://huggingface.co/spaces/lmms-lab-si/EASI-Leaderboard
🔎 Dataset Summary
Question types: MCQ (multiple choice) and NA (numeric answer).
File format: TSV only.
Usage: These TSVs are directly consumable by the EASI… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-si/EASI-Leaderboard-Data.HallusionBench
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 HallusionBench. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.
@misc{guan2023hallusionbench,
title={HallusionBench: An Advanced Diagnostic Suite for Entangled… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-encoder/HallusionBench.OlympiadBenchLLaVA-NeXT-Data
Dataset Card for LLaVA-NeXT
We provide the whole details of LLaVA-NeXT Dataset. In this dataset, we include the data that was used in the instruction tuning stage for LLaVA-NeXT and LLaVA-NeXT(stronger).
Aug 30, 2024: We update the dataset with raw format (de-compress it for json file and images with structured folder), you can directly download them if you are familiar with LLaVA data format.
Dataset Sources
Compared to the instruction data mixture for LLaVA-1.5… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab/LLaVA-NeXT-Data.RefCOCOplus
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 RefCOCO+. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.
@inproceedings{kazemzadeh-etal-2014-referitgame,
title = "{R}efer{I}t{G}ame: Referring to Objects in… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-encoder/RefCOCOplus.COCO-Caption2017
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 COCO-Caption-2017-version. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.
@misc{lin2015microsoft,
title={Microsoft COCO: Common Objects in Context}… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-encoder/COCO-Caption2017.