datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
physics-corpus
Physics Corpus — konsman/physics-corpus
arXiv physics papers exported from a PostgreSQL mirror of the Kaggle arXiv dataset,
structured for ontology extraction and downstream NLP pipelines.
Configuration: quantum-physics
arXiv categories included: quant-ph, hep-th, gr-qc
Schema
Field
Type
Description
paper_id
string
arxiv:<id>v<n> — stable across pipeline runs
arxiv_id
string
Base arXiv ID without version suffix
arxiv_version
int32
Version number… See the full description on the dataset page: https://huggingface.co/datasets/konsman/physics-corpus.vidore_v3_physicsViDoRe V3 : Physics
This dataset, Physics, is a corpus of course slides on bachelor level physics lectures, intended for complex visual understanding tasks. It is one of the 10 corpora comprising the ViDoRe v3 Benchmark.
About ViDoRe v3
ViDoRe V3 is our latest benchmark for RAG evaluation on visually-rich documents from real-world applications. It features 10 datasets with, in total, 26,000 pages and 3099 queries, translated into 6 languages. Each query comes with human-verified… See the full description on the dataset page: https://huggingface.co/datasets/vidore/vidore_v3_physics.agieval-gaokao-physics
Dataset Card for "agieval-gaokao-physics"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo, following dmayhem93/agieval-* datasets on the HF hub.
This dataset contains the contents of the Gaokao Physics subtask of AGIEval, as accessed in https://github.com/ruixiangcui/AGIEval/commit/5c77d073fda993f1652eaae3cf5d04cc5fd21d40 .
Citation:
@misc{zhong2023agieval,
title={AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models}… See the full description on the dataset page: https://huggingface.co/datasets/hails/agieval-gaokao-physics.gpqa-diamond-physicsagieval-gaokao-physics
Dataset Card for "agieval-gaokao-physics"
Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo.
MIT License
Copyright (c) Microsoft Corporation.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell… See the full description on the dataset page: https://huggingface.co/datasets/dmayhem93/agieval-gaokao-physics.sketchvlm-physics-ball-drop
SketchVLM: Physics Ball Drop Dataset
This dataset is part of the SketchVLM project, introduced in the paper: SketchVLM: Vision language models can annotate images to explain thoughts and guide users.
Project Page | GitHub | Interactive Demo
Description
SketchVLM is a training-free, model-agnostic framework that enables vision-language models (VLMs) to produce non-destructive, editable SVG overlays on input images to visually explain their reasoning.
The Physics Ball… See the full description on the dataset page: https://huggingface.co/datasets/loganbolton/sketchvlm-physics-ball-drop.ramanv-image-real-physics-atmospherevidore_v3_physics_mteb_format
Vidore3PhysicsRetrieval
An MTEB dataset
Massive Text Embedding Benchmark
Retrieve associated pages according to questions.
Task category
t2i
Domains
Academic
Reference
https://huggingface.co/blog/QuentinJG/introducing-vidore-v3
Source datasets:
vidore/vidore_v3_physics
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task = mteb.get_task("Vidore3PhysicsRetrieval")
evaluator =… See the full description on the dataset page: https://huggingface.co/datasets/vidore/vidore_v3_physics_mteb_format.world-model-physics
Rapidata Physics Benchmark
Built by Rapidata.
Do video and world models understand physics? We gave 25 video- and world models the same
real-world starting frame and scene description from Physics-IQ and asked
them to predict what happens next. ~283,000 human votes, collected with the
Rapidata Python SDK, decided which continuation is more realistic — with the
real recording competing as a hidden 26th participant.
Each row is a head-to-head matchup between two participants on… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/world-model-physics.dataset-CoT-Physics-2254physics-olympiad-multilingual-traingpqa_physicsPhysicscounterfactual-physicsphysics_big
The First Multimodal Chain of Thoughts Dataset for Physics Problems
Dataset Overview
This dataset consists of a diverse collection of physics problems, categorized into different domains:
1000 problems on Kinematics
600 problems on Electricity and Circuits
500 problems on Thermodynamics
Data Sources
All data has been extracted from open sources, ensuring a wide variety of problem types and difficulty levels.
Structure
Each problem is designed to… See the full description on the dataset page: https://huggingface.co/datasets/Vikhrmodels/physics_big.Physics-RW
Physics-RW for lmms-eval
Normalized 1,135-example English Physics-RW classification benchmark and official videos.
Source: https://www.modelscope.cn/datasets/pengyz/Physics-RW. The source dataset license is preserved.
sora-video-generation-physics-likert-scoring
Rapidata Video Generation Physics Dataset
If you get value from this dataset and would like to see more in the future, please consider liking it.
This dataset was collected in ~1 hour using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation.
Overview
In this dataset, ~6000 human evaluators were asked to rate AI-generated videos based on if gravity and colisions make sense, without seeing the prompts used to generate them.… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/sora-video-generation-physics-likert-scoring.physics-reasoning-dataset
📚 Flux Physics Reasoning Dataset
This dataset contains detailed physics reasoning scenarios designed to train Small Language Models (SLMs) and Liquid Neural Networks in physical intuition.
📄 Format
The dataset is provided in Parquet format (train.parquet) for efficient loading. Each row contains:
prompt: The physics question or scenario description.
answer: The correct physical explanation and answer.
concept: The underlying physics principle (e.g., "Conservation of… See the full description on the dataset page: https://huggingface.co/datasets/convaiinnovations/physics-reasoning-dataset.physics-olympiad-datasetphysics_textbooktask708_mmmlu_answer_generation_high_school_physics
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task708_mmmlu_answer_generation_high_school_physics
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task708_mmmlu_answer_generation_high_school_physics.physcorp-a
PhysCorp-A — Audited Physics Training Corpus (6,432 records)
The audit-clean training corpus released alongside the Physics-R1 paper (NeurIPS 2026 D&B Track submission). Subset of the 14,294-record pre-audit pool that survives the joint two-stage contamination audit against all six paper-canonical eval splits.
Lineage
14,294 pre-audit pool (PhysCorp-pre-audit) aggregating nine source families.
Construction audit (Stage-1 5-gram Jaccard ≥ 0.4 union Stage-2… See the full description on the dataset page: https://huggingface.co/datasets/physics-r1-anonymous/physcorp-a.camel_ai_physics_instruction_datasetcamel-ai-physics
CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society
Github: https://github.com/lightaime/camel
Website: https://www.camel-ai.org/
Arxiv Paper: https://arxiv.org/abs/2303.17760
Dataset Summary
Physics dataset is composed of 20K problem-solution pairs obtained using gpt-4.
The dataset problem-solutions pairs generating from 25 physics topics, 25 subtopics for each topic and 32 problems for each "topic,subtopic" pairs.… See the full description on the dataset page: https://huggingface.co/datasets/lgaalves/camel-ai-physics.camel-ai-physicsphysics-problemsphysics-nobel-laureates
Physics Nobel Laureates
Credit: NASA/JPL-Caltech/STScI/CXC/SAO
Part of a dataset collection on Hugging Face.
Dataset description
Complete database of every Physics Nobel Prize laureate, sourced from Wikidata. The Nobel Prize in Physics has been awarded since 1901, recognizing landmark contributions to our understanding of the universe -- from the discovery of X-rays and quantum mechanics through nuclear physics, particle physics, semiconductors, lasers… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/physics-nobel-laureates.physics_questionsSciBench_Physicsdataset-CoT-Atomic-Nuclear-Physics-144