findalexli/SciGraphQA

SciGraphQA: Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs

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Experimental

This dataset provides a large collection of multi-turn question-answer dialogues specifically about scientific graphs found in Computer Science and Machine Learning papers. It takes in a scientific graph along with its surrounding text context (title, abstract, relevant paragraph) and produces conversational Q&A pairs about the graph's content. Researchers and developers working on AI models for understanding scientific literature would use this to train and evaluate their systems.

No commits in the last 6 months.

Use this if you are developing or evaluating AI models that need to understand and answer questions about scientific graphs in a conversational manner.

Not ideal if you need a dataset for general image understanding or if your focus is not on multi-turn dialogues derived from academic graph contexts.

scientific-research academic-publishing graph-interpretation AI-model-training natural-language-processing
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 5 / 25

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43

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2

Language

Jupyter Notebook

License

Apache-2.0

Last pushed

Oct 25, 2024

Commits (30d)

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