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
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.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-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-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.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.quantum-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.physics-qa
Physics Q&A — Multi-Level Explanations
502 question-answer pairs generated from recent physics papers (arXiv 2024–2026),
covering 5 subfields across 83 papers.
Each paper is explained at 6 audience levels, each as a focused Q/A pair:
Level
Audience
physicist
Expert with equations and notation
undergrad_science
Undergraduate with key equations
high_schooler
High school student, intuitive
humanities_student
No math, analogies only
five_year_old
Child-friendly… See the full description on the dataset page: https://huggingface.co/datasets/planetoid-reader/physics-qa.physics_dataset_standardized_cluster_7_stdphysics_wikiphysics_dataset_standardized120-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-test4.120-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_dataset_standardized_cluster_4_std
Dataset Card for "physics_dataset_standardized_cluster_4_std"
More Information needed
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.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.physics_dataset_standardized_cluster_4
Dataset Card for "physics_dataset_standardized_cluster_4"
More Information needed
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.physics_dataset_standardized_cluster_3_std
Dataset Card for "physics_dataset_standardized_cluster_3_std"
More Information needed
YouToks-Instruct-Quantum-Physics-Iphysics_dataset_standardized_cluster_1_std
Dataset Card for "physics_dataset_standardized_cluster_1_std"
More Information needed
physics_dataset_standardized_cluster_1
Dataset Card for "physics_dataset_standardized_cluster_1"
More Information needed
physics_dataset_standardized_cluster_5_stdb2_science_embedding_stackexchange_physicsa1_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.physics_dataset_standardized_cluster_7physics_dataset_standardized_cluster_0
Dataset Card for "physics_dataset_standardized_cluster_0"
More Information needed
physics_dataset_standardized_cluster_3
Dataset Card for "physics_dataset_standardized_cluster_3"
More Information needed
physics_dataset_standardized_stdYouToks-Instruct-Quantum-Physics-II