Molmo2 Synmultiimageqa
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--- dataset_info: - config_name: chart features: - name: id dtype: string - name: images sequence: image - name: code sequence: string - name: qa_pairs sequence: - name: question dtype: string - name: explanation dtype: string - name: answer dtype: string - name: qa_pairs_raw sequence: - name: question dtype: string - name: explanation dtype: string - name: answer dtype: string - name: metadata struct: - name: content_type dtype: string - name: persona dtype: string - name: overall_descriptio...
| Entity Passport | |
| Registry ID | hf-dataset--allenai--molmo2-synmultiimageqa |
| Provider | huggingface |
Cite this dataset
Academic & Research Attribution
@misc{hf_dataset__allenai__molmo2_synmultiimageqa,
author = {allenai},
title = {Molmo2 Synmultiimageqa Dataset},
year = {2026},
howpublished = {\url{https://huggingface.co/datasets/allenai/Molmo2-SynMultiImageQA}},
note = {Accessed via Free2AITools Knowledge Fortress}
}π¬Technical Deep Dive
Full Specifications [+]βΎ
βοΈ Nexus Index V2.0
π¬ Index Insight
FNI V2.0 for Molmo2 Synmultiimageqa: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:0), Quality (Q:0).
Verification Authority
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Row-level preview not available for this dataset.
Schema structure is shown in the Field Logic panel when available.
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Schema not yet indexed for this dataset.
Dataset Specification
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configs:
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data_files:- split: train
path: chart/train-* - split: validation
path: chart/validation-*
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- config_name: table
data_files:- split: train
path: table/train-* - split: validation
path: table/validation-*
license: odc-by
task_categories:
- split: train
- visual-question-answering
size_categories: - 100K<n<1M
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 rendered image).
Molmo2-SynMultiImageQA is part of the Molmo2 dataset collection and was used to train the Molmo2 family of models.
Quick links:
- π Paper
- π₯ Blog with Videos
Loading
The dataset has eight subsets:
chart: charts and plotschemical: chemical structurescircuit: diagrams of electrical circuitsdiagram: diagram and graphsdocument: various types of documentsgraphic: vector graphicsmusic: music sheetstable: tables and sheets
Use config_name to specify which one to load. By default, chart will be loaded. For example:
table_dataset = datasets.load_dataset("allenai/Molmo2-SynMultiImageQA", "table", split="train")
Data Format
Each row of the example has the following information:
id: the unique ID of each exampleimages: a list of rendered images from the codecode: a list of the source code for each imageqa_pairs: a list of questions, answers, and chain-of-thought explanationsqa_pairs_raw: the raw format of QA pairs without replacing the image reference (<IMAGE-N>)to natural format.metadata: metadata of each example, including the content type, persona, overall descriptions, and the number of images.
Splits
The data is divided into validation and train splits. These splits are "unofficial" because we do not generally use this data for evaluation anyway.
However, they reflect what was used when training the Molmo2 models, which were only trained on the train splits.
License
This dataset is licensed under ODC-BY. It is intended for research and educational use in accordance with Ai2βs Responsible Use Guidelines.
This dataset includes synthetic images from model outputs using code generated from Claude-Sonnet-4.5, which is subject to Anthropic's Terms of Service.
The questions are generated from GPT-5, which is subject to OpenAIβs Terms of Use.
Social Proof
AI Summary: Based on Hugging Face metadata. Not a recommendation.
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π Identity & Source
- id
- hf-dataset--allenai--molmo2-synmultiimageqa
- source
- huggingface
- author
- allenai
- tags
- task_categories:visual-question-answeringlicense:odc-bysize_categories:100k
βοΈ Technical Specs
- architecture
- null
- params billions
- null
- context length
- null
π Engagement & Metrics
- likes
- 5
- downloads
- 15,761
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