Datasets › ShareGPT4V

ShareGPT4V

Introduced by Lin Chen et al. in ShareGPT4V: Improving Large Multi-Modal Models with Better Captions21 Nov 2023 archive 2025-07-28

The ShareGPT4V dataset is a pioneering large-scale resource that features 1.2 million highly descriptive captions. These captions surpass existing datasets in terms of diversity and information content. They cover a wide range of topics, including world knowledge, object properties, spatial relationships, and aesthetic evaluations². The dataset was introduced to address bottlenecks in large multi-modal models and enhance their performance by providing better captions².

Source: Conversation with Bing, 3/19/2024 (1) ShareGPT4V: Improving Large Multi-Modal Models with Better Captions. https://arxiv.org/pdf/2311.12793.pdf. (2) openchat/openchat_sharegpt4_dataset · Datasets at Hugging Face. https://huggingface.co/datasets/openchat/openchat_sharegpt4_dataset. (3) openchat/openchat_sharegpt_v3 · Datasets at Hugging Face. https://huggingface.co/datasets/openchat/openchat_sharegpt_v3. (4) RyokoAI/ShareGPT52K · Datasets at Hugging Face. https://huggingface.co/datasets/RyokoAI/ShareGPT52K.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 143 papers for it but never published that list.

Dataset loaders archive 2025-07-28

2 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • ShareGPT4V

1 variant name, as the archive lists them.

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