Dataset · Hugging Face

PaulineLi/QuantiPhy-validation

Name: QuantiPhy-validation
Creator: PaulineLi
License: cc-by-4.0
Keywords: task_categories:video-text-to-text, task_categories:visual-question-answering, language:en, license:cc-by-4.0, size_categories:n<1K, format:parquet, modality:tabular, modality:text, modality:video, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2512.19526, region:us

QuantiPhy (Validation Set) Dataset Summary QuantiPhy is a benchmark for evaluating whether vision–language models (VLMs) can perform quantitative physical inference from visual evidence, rather than producing plausible but ungrounded numerical guesses. This repository contains the official validation set of QuantiPhy, released to support model development, ablation studies, and preliminary evaluation.The validation set represents approximately 4% of the full… See the full description on the dataset page: https://huggingface.co/datasets/PaulineLi/QuantiPhy-validation.

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Author / organization	PaulineLi
License (as declared)	cc-by-4.0
Downloads	2.1K (as reported by Hugging Face)
Likes	8
Created	18 December 2025
Last updated at source	9 October 2026

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