datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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
science_physicsZeroTwin-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.Dense-Information-Science-Physics-Dataset
Dense Information With Multiple Fine-tuned Variations
This dataaset has multiple for each input to learn how to express the same answer in different ways
Dataset Structure
The dataset contains two columns:
Column
Description
input
A science or quantum-physics question
output
A conversational answer to the question
Example:
{
"input": "What is quantum entanglement?",
"output": "Quantum entanglement is when two quantum systems share one… See the full description on the dataset page: https://huggingface.co/datasets/StarpowerTechnology/Dense-Information-Science-Physics-Dataset.NCERT_Physics_11thNCERT_Physics_12thMath-physics-dataset-sq
Physics and Math Problems Dataset
This repository contains a dataset of 2,600 physics and math problems in Albanian. The dataset is designed to support various NLP tasks and educational applications.
Dataset Overview
Problems: 2,666
Language: Albanian
Fields:
algebra lineare: 178
analiza matematike: 176
gjeometri diferenciale: 178
topologji: 179
teoria e numrave: 177
ekuacionet diferenciale: 178
fizika klasike: 177
mekanika kuantike: 179
elektromagnetizmi: 178… See the full description on the dataset page: https://huggingface.co/datasets/LTS-VVE/Math-physics-dataset-sq.physics-interpretation-assumption-control-v01Interpretation and Assumption Control v01
What this dataset is
This dataset evaluates whether a system handles missing or ambiguous physical information without guessing.
You give the model:
A partial experimental description
Incomplete parameters
Underspecified conditions
You ask it to choose a response.
PROCEED
CLARIFY
REFUSE
The correct move is often to stop.
Why this matters
Physics fails quietly when assumptions go unstated.
Common failure patterns:
Assuming ideal conditions
Assuming… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/physics-interpretation-assumption-control-v01.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.physicsA-levels_physicsphysicsvljepa_physics_consistency_probe_v01VL-JEPA Physics Consistency Probe (v01)
Tests if a model can track basic physical expectations from partial video context.
This dataset checks:
• continuity over frames• cause and effect• prevention of impossible events• where inference must stop
Columns:
video_scenariogiven_framesphysics_principleexpected_inferencefailure_modestop_condition
Use cases:
• early signal of inference drift• baseline for robotics pre-training• measurement of hidden confabulation
Evaluation goal:
Can the model… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/vljepa_physics_consistency_probe_v01.academia-physics-office-hours
This Dialogue
Comprised of fictitious examples of dialogues between a physics professor and a student during office hours. Check out the example below:
"id":1,
"description":"Understanding the concept of velocity",
"dialogue":"Student: Professor, I'm having trouble understanding the concept of velocity. Could you please explain it to me?\n\nProfessor: Of course! Velocity is a fundamental concept in physics that describes the rate of change of an object's position with respect to… See the full description on the dataset page: https://huggingface.co/datasets/FunDialogues/academia-physics-office-hours.physicsSFTNCERT_Physics_12thMixtral_8_7B_physicsalpaca_physics_datasetphysics_zephyrformat_SFTLlama_3_1_8b_Instruct_Turbo_chat_physicsMixtral_8_22B_physicsqwen-physics-blindspotsphysics-squad-2physics_trialannotations_creators:
expert-generated
language:
en
language_creators:
expert-generated
license:
unknown
multilinguality:
monolingual
paperswithcode_id: null
pretty_name: trial dataset for physics questions
size_categories:
n<1K
source_datasets:
original
tags: []
task_categories:
question-answering
task_ids:
closed-domain-qa
yale_physicsLlama_3_70b_physicsPhi_3_mini_128k_physicsmk_physics_qna_train