Dataset · Hugging Face

allenai/Molmo2-SynMultiImageQA

Name: Molmo2-SynMultiImageQA
Creator: allenai
License: odc-by
Keywords: task_categories:visual-question-answering, license:odc-by, size_categories:100K<n<1M, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, region:us

Molmo2-SynMultiImageQA Molmo2-SynMultiImageQA is a collection of synthetic multi-image question-answer pairs about various kinds of text-rich images, including charts, tables, documents, diagrams, etc. The synthetic data is generated by extending the CoSyn framework into multi-image settings, with Claude-sonnet-4-5 as the coding LLM to generate code that can be executed to render an image. Then, we use GPT-5 to generate question-answer pairs with code (without using the… See the full description on the dataset page: https://huggingface.co/datasets/allenai/Molmo2-SynMultiImageQA.

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Author / organization	allenai
License (as declared)	odc-by
Downloads	5.9K (as reported by Hugging Face)
Likes	10
Created	14 October 2025
Last updated at source	16 December 2025

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allenai/Molmo2-8BModel · used to train
allenai/Molmo2-4BModel · used to train
allenai/Molmo2-O-7BModel · used to train
mlx-community/Molmo2-8B-4bitModel · used to train

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16 Oct 2026 Description: Molmo2-SynMultiImageQA Molmo2-SynMultiImageQA is a collection of synthetic multi-image question-answer pairs about various kinds of text-rich images, including charts, tables, documents, diagrams, etc. The synthetic data is generated by ext → Molmo2-SynMultiImageQA Molmo2-SynMultiImageQA is a collection of synthetic multi-image question-answer pairs about various kinds of text-rich images, including charts, tables, documents, diagrams, etc. The synthetic data is generated by ext

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