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Table · dataset · 2026

PaulineLi/QuantiPhy

Listed in Hugging Face Datasets

QuantiPhy Dataset

Description

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 test set of the QuantiPhy benchmark, consisting of 3,289 video–question (QA) pairs across 568 videos. Ground-truth answers are withheld to ensure fair evaluation.

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Each instance requires a model… See the full description on the dataset page: huggingface.co/datasets/PaulineLi/QuantiPhy.

Links

Where it is published

Documentation and papers

Catalogue records · 1

Topics

Inferred from text
Video 75%
Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsPaulineLi/QuantiPhy14 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:videosource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:videoenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
concepts[task].hf_task:video-text-to-textsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
concepts[task].hf_task:visual-question-answeringsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0