datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.world-model-physics-human-preference-283k
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-human-preference-283k.inverse-physics-warp-dataset
Inverse Physics Warp Dataset
Synthetic particle trajectories generated with Warp MPM for constitutive learning
and position-only material inference. The versioned recipe and archive inventory
are in recipe.json and manifest.json. A release is complete only when every
archive listed in the manifest is available.
Version 1
Stage 1 contains 800 homogeneous trajectories: five material families (elastic,
Newtonian, non-Newtonian, plasticine, sand), 40 parameter samples… See the full description on the dataset page: https://huggingface.co/datasets/ZhewenZheng/inverse-physics-warp-dataset.PhysicsEval
PhysicsEval Dataset
To enable large-scale evaluation and training of reasoning-capable language models in physics, we curated a comprehensive dataset of 19,609 annotated problems, sourced from 20 authoritative physics textbooks and verified educational websites.
Construction
The dataset spans 19 different categories, including Mechanics, Thermodynamics, Electromagnetism, Waves, Optics, Relativity, and Quantum Physics.
Each problem is processed through the following… See the full description on the dataset page: https://huggingface.co/datasets/IUTVanguard/PhysicsEval.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.quantum-physics-0.6-corpus
quantum-physics-0.6-corpus
Dataset Description
This is a domain-specific corpus created using ontology-guided filtering from FineWeb-Edu.
Dataset Creation
Source: HuggingFaceFW/fineweb-edu
Filtering Method: Semantic similarity to subdomain centroids (embedding-based)
Pipeline: Ontology-Guided Domain Corpus Builder
Dataset Structure
Each chunk contains:
text: The text content (256-512 tokens)
subdomain_id: Assigned subdomain
similarity_score:… See the full description on the dataset page: https://huggingface.co/datasets/konsman/quantum-physics-0.6-corpus.OpenSciReasoning-Physics-20K
OpenSciReasoning-Physics-20K
Three-domain release derived from nvidia/OpenScienceReasoning-2 for
domain-specific reasoner training and cross-domain transfer experiments.
Each row preserves the stable source_row_id and has exactly one mutually
exclusive domain value: PHYSICS. Domain acceptance was checked from the
question and choices with two independent question-only verifiers; answer and
source-ID gates were also replayed.
The audit records list any remaining source-output… See the full description on the dataset page: https://huggingface.co/datasets/TerryJCZhang/OpenSciReasoning-Physics-20K.naive-physics-ironing-v0.2
nAIve physics — Ironing Pilot v0.2 + Interaction Analysis v0.3
Visual Preview
Original RGB demonstration — IRON_009
▶ Watch IRON_009 original RGB demonstration
v0.3 interaction analysis — IRON_009
▶ Watch IRON_009 analysed interaction video
Raw → analysed: the first video is the original RGB demonstration; the second shows the v0.3 garment semantics, tool tracking, and temporal interaction analysis derived from the same episode.
A… See the full description on the dataset page: https://huggingface.co/datasets/CaramelCoffee19/naive-physics-ironing-v0.2.physics-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.vidore3_physics_neomme_260m_li
vidore3_physics_neomme_260m_li
Multi-vector (late-interaction) embeddings of ViDoRe physics (vidore/physics), encoded with
Hcompany/NeoMME-260M-Retriever-ST-late at revision 023be2a8ab9d797f5aa76f5bf8b5dde78d819659.
Source data: Hugging Face dataset vidore/vidore_v3_physics at revision a0de276f515acc044b72cae8de53a44bb5a8f1f5, configs corpus / queries / qrels, split test, loaded with datasets. Document, query and qrel ids are the source's own ids,
unchanged.
Every document is… See the full description on the dataset page: https://huggingface.co/datasets/robro612/vidore3_physics_neomme_260m_li.wikipedia-physics-corpus
Dataset Card for the Wikipedia-Physics Corpus
Wikipedia-Physics Corpus contains 102,409 paragraphs extracted from 6,642 key physics-related Wikipedia articles as well as word-sense labels for 1,186 occurrences of "Planck" across 885 paragraphs.
This table details the main columns of the dataset:
Column
Description
text
Full text of the paragraph
length
Number of unicode characters in the paragraph
page_title
Titel of the Wikipedia article
url
URL of the Wikipedia… See the full description on the dataset page: https://huggingface.co/datasets/arnosimons/wikipedia-physics-corpus.120-physicsdojo137-pulseox-test4This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 20,
"total_frames": 19763,
"total_tasks": 1,
"total_videos": 20,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/LeRobot-worldwide-hackathon/120-physicsdojo137-pulseox-test4.Par-Four-Fineweb-Edu-Fortified-Chemistry-Physics-Astronomy-Math-ReasonExtracted Chemistry Physics Asronomy Math and Logic portions from the original.
Script used for the extraction:
https://huggingface.co/datasets/Josephgflowers/Par-Four-Fineweb-Edu-Fortified-Chemistry-Physics-Astronomy-Math-Reason/resolve/main/find-science-fine.py
120-physicsdojo137-record-testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 2,
"total_frames": 3594,
"total_tasks": 1,
"total_videos": 2,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:2"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/LeRobot-worldwide-hackathon/120-physicsdojo137-record-test.physicsai-arm-testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 51,
"total_frames": 29803,
"total_tasks": 1,
"chunks_size": 1000,
"fps": 30.0,
"splits": {
"train": "0:51"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4"… See the full description on the dataset page: https://huggingface.co/datasets/diaawoo/physicsai-arm-test.120-physicsdojo137-pulsox-test1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 6,
"total_frames": 5350,
"total_tasks": 1,
"total_videos": 6,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:6"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/LeRobot-worldwide-hackathon/120-physicsdojo137-pulsox-test1.ZeroTwin-UAV-Synthetic_Physics-Informed-Multi-UAV-Fault-Telemetry-Benchmark
🛸 ZeroTwin-UAV-Synthetic
Multi-Agent Physics-Informed Degradation Benchmark for Autonomous UAV Swarms
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P H I L A B • P E N E L O P E I N C . R E S E A R C H D I V I S I O N
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🏛️ Provenance & Institutional Trademarks
This open-source benchmark is… See the full description on the dataset page: https://huggingface.co/datasets/SM-Bello/ZeroTwin-UAV-Synthetic_Physics-Informed-Multi-UAV-Fault-Telemetry-Benchmark.120-physicsdojo137-pulsox-testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 10,
"total_frames": 6175,
"total_tasks": 1,
"total_videos": 10,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:10"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/LeRobot-worldwide-hackathon/120-physicsdojo137-pulsox-test.physics_q-a_dataset_qwen3.5quantum-physics-0.6
quantum-physics-0.6
Dataset Description
This is a domain-specific corpus created using ontology-guided filtering from FineWeb-Edu.
Dataset Creation
Source: HuggingFaceFW/fineweb-edu
Filtering Method: Semantic similarity to subdomain centroids (embedding-based)
Pipeline: Ontology-Guided Domain Corpus Builder
Dataset Structure
Each chunk contains:
text: The text content (256-512 tokens)
subdomain_id: Assigned subdomain… See the full description on the dataset page: https://huggingface.co/datasets/konsman/quantum-physics-0.6.cbrn-physics-features
CBRN Physics Features
Pre-computed physics-informed distributional features for pathogen-agnostic biological threat detection in gene expression data.
Overview
This dataset contains per-sample and per-group features computed from the shape of gene expression distributions rather than the identity of individual genes. The four core features — Gini coefficient, Shannon entropy, normalized entropy, and Zipf exponent — are platform-agnostic: they require no gene… See the full description on the dataset page: https://huggingface.co/datasets/jang1563/cbrn-physics-features.Physics-DPO-Dataset
Dataset Summary
Physics-DPO is a meticulously crafted, synthetic dataset of preference pairs designed to enhance the physics reasoning and problem-solving capabilities of Large Language Models (LLMs). Generated using a sophisticated, multi-stage pipeline, this dataset provides high-quality data for Direct Preference Optimization (DPO) and similar preference alignment techniques.
Each instance consists of a challenging physics problem (prompt), a high-quality, expert-level solution… See the full description on the dataset page: https://huggingface.co/datasets/yusufbaykaloglu/Physics-DPO-Dataset.NCERT_Physics_12thcleaned_PHYSICS_hardquantum-hardware-device-physics
Neura Parse — Quantum Hardware Device Physics: Qubit Design, Coherence, Control & Scaling
A physics- and engineering-deep vertical on how qubits are built, controlled, and scaled across superconducting, trapped-ion, neutral-atom, and spin modalities (plus emerging erasure/biased-noise qubits). Device-physics derivations, coherence-limit analyses, control-stack engineering, and 2025-2026 scaling/interconnect work, with QuTiP/scqubits simulation context — expanding the general… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-hardware-device-physics.a1_science_stackexchange_physics_1k_eval_636d
mlfoundations-dev/a1_science_stackexchange_physics_1k_eval_636d
Precomputed model outputs for evaluation.
Evaluation Results
Summary
Metric
AIME24
AMC23
MATH500
MMLUPro
JEEBench
GPQADiamond
LiveCodeBench
CodeElo
CodeForces
Accuracy
17.3
53.0
74.6
0.5
36.5
28.3
10.4
2.6
4.9
AIME24
Average Accuracy: 17.33% ± 1.40%
Number of Runs: 10
Run
Accuracy
Questions Solved
Total Questions
1
10.00%
3
30
2
20.00%
6
30
3
13.33%
4
30… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/a1_science_stackexchange_physics_1k_eval_636d.quantum-physics-0.5-corpus
quantum-physics-0.5-corpus
Dataset Description
This is a domain-specific corpus created using ontology-guided filtering from FineWeb-Edu.
Dataset Creation
Source: HuggingFaceFW/fineweb-edu
Filtering Method: Semantic similarity to subdomain centroids (embedding-based)
Pipeline: Ontology-Guided Domain Corpus Builder
Dataset Structure
Each chunk contains:
text: The text content (256-512 tokens)
subdomain_id: Assigned subdomain
similarity_score:… See the full description on the dataset page: https://huggingface.co/datasets/konsman/quantum-physics-0.5-corpus.physics_dataset_standardized_cluster_4_std
Dataset Card for "physics_dataset_standardized_cluster_4_std"
More Information needed
physics_dataset_standardized_hierarchical_clustersphysics_dataset_standardized
