datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
data-preprocessing-automl-benchmarks
Data Preprocessing AutoML Benchmarks
This repository contains text classification datasets with known data quality issues for preprocessing research in AutoML.
Usage
Load a specific dataset configuration like this:
from datasets import load_dataset
# Example for loading the TREC dataset
dataset = load_dataset("MothMalone/data-preprocessing-automl-benchmarks", "trec")
Available Datasets
Below are the details for each dataset configuration available in this… See the full description on the dataset page: https://huggingface.co/datasets/MothMalone/data-preprocessing-automl-benchmarks.motivational_quotes
Motivational Quotes for Reservists
This dataset contains 1,000+ AI-generated motivational quotes, each categorized by theme such as resilience, courage, discipline, and perseverance.It was created to support Israeli reserve soldiers (“Miluim”) by offering uplifting, emotionally impactful messages during active service and difficult times.
🧾 Dataset Details
Created by: AMaACHINE
Language(s): English
License: OpenRAIL
Model Used: google/flan-t5-base from Hugging… See the full description on the dataset page: https://huggingface.co/datasets/AMaACHINE/motivational_quotes.motif-thermo-dbfineweb-ultra-mini
Dataset Card for Fineweb Ultra Mini
Fineweb Ultra Mini is a dataset derived from the original Fineweb dataset made by huggingface (see here: https://huggingface.co/datasets/HuggingFaceFW/fineweb).
The dataset focuses on extracting high quality data from the Fineweb dataset, from the 2-3% range. If you would like even more high-quality data, keep out for our next release, fineweb ultra mini pro, which focuses on the 0-1% of high quality data originally found in fineweb.… See the full description on the dataset page: https://huggingface.co/datasets/motionlabs/fineweb-ultra-mini.Gen2Humanoid-HY-Motion-1.0english-debate-motions-utdsEnglish Debate Motions gathered by University of Tokyo Debate Society
@misc{english-debate-motions-utds,
title={english-debate-motions-utds},
author={members of the University of Tokyo Debate Society},
year={2022},
}
prosite_functional_motif_scaffolding_benchmark
PROSITE-derived Functional Motif Benchmark
This archive contains an anonymized dataset artifact for a systematically derived benchmark of structurally conserved functional motif-scaffolding cases from PROSITE-linked experimental protein structures.
The benchmark is intended for static motif-scaffolding evaluation with standard MotifBench-style pipelines. Cases are derived from PROSITE motif-pattern entries, mapped to experimentally resolved PDB structures, filtered for recurrent… See the full description on the dataset page: https://huggingface.co/datasets/anonymous-motif-scaffolding/prosite_functional_motif_scaffolding_benchmark.Motion_Dataset
Apple Arts Studios Motion Capture Dataset
Dataset Overview
The Apple Arts Studios Motion Capture Dataset is a professionally captured, full-body human-motion dataset designed for:
Artificial intelligence
Humanoid robotics
Motion generation
Animation
Simulation
Action recognition
Human-motion research
This release contains 5 hours of originally captured motion data.
Left–right mirrored versions of the original motions are also included, increasing the total… See the full description on the dataset page: https://huggingface.co/datasets/Appleartsstudios/Motion_Dataset.uk-mot-risk-index
Note on checksums. The README.md in this repository carries a YAML dataset-card
header required by the Hugging Face hub, so its SHA-256 differs from the entry in
checksums.txt. That entry refers to the canonical README published at
motriskindex.co.uk/data/README.md and on
Zenodo. All data files are byte-identical across mirrors.
Attribution and licences of every source (OGL v3.0, CC BY 4.0 for Statens vegvesen and Traficom, CC0 for RDW, public domain for NHTSA) are in ATTRIBUTION.md.… See the full description on the dataset page: https://huggingface.co/datasets/ivitskiy/uk-mot-risk-index.motorcycle-accident-driving-datasets
Dataset Summary
The dataset consisted of 2 types of cases; accident and driving while riding a motorcycle. 68 accident cases and 68 driving cases are prepared. 30 fps and 852x480 by default. It might be helpful when you train a model to infer whether a video is a motorcycle crash or not. One thing you should know about is 'driving videos' are not typically motorcycle driving. Most 'driving videos' are dashcams in the car. However, all the videos about accidents are motorcycle… See the full description on the dataset page: https://huggingface.co/datasets/smart-dashcam/motorcycle-accident-driving-datasets.Full_Length_Motion_Capture_Dataset
Apple Arts Studios Full-Length Motion Capture Dataset
Dataset Overview
The Apple Arts Studios Full-Length Motion Capture Dataset is a professionally captured, full-body human-motion dataset containing 199 hours and 30 minutes of continuous motion capture data.
Unlike segmented motion datasets, this repository preserves the complete capture sequences without separating individual actions into short clips.
The recordings retain their continuous capture… See the full description on the dataset page: https://huggingface.co/datasets/Appleartsstudios/Full_Length_Motion_Capture_Dataset.privacy-preserving-real-world-human-motion-sample
Privacy-Preserving Real-World Human Motion Sample
A market-validation sample of anonymous 2D skeleton/pose observations derived from a real-world indoor CCTV stream.
Why this sample exists
We are validating demand for continuously collected, privacy-oriented real-world human-motion data before expanding to multi-camera releases.
Current public sample
750 public observations
derived pose/skeleton data
anonymous track identifiers
no raw RGB video
no… See the full description on the dataset page: https://huggingface.co/datasets/Ragab-Adel/privacy-preserving-real-world-human-motion-sample.wellness-tourism-datasetmotor-inrush-lra-generator-benchmark-2026
Inductive Motor Locked Rotor Amperes (LRA) & Backup Generator Sizing Benchmark Matrix (2026)
1. Benchmark Overview & Physical Scope
During a power outage, emergency backup generators frequently stall and trip their circuit breakers when starting heavy motor loads (such as residential central air conditioners, heat pumps, and submersible well pumps), even when continuous running wattage is well within the generator's nameplate rating.
At the instant of startup (0… See the full description on the dataset page: https://huggingface.co/datasets/miadinside/motor-inrush-lra-generator-benchmark-2026.VenusX_Res_Motif_MP50discogscleanedalbumdatasma-gse108094-motor-neuron-rnaseq
GSE108094 SMA Motor-Neuron RNA-seq
This repository contains processed RNA-sequencing results and GEO/SRA metadata for human SMA and control iPSC-derived motor neurons.
The experiment has eight libraries from four biological cell lines: two SMA and two control lines, each with two sequencing replicates. The repository contains the differential-expression output, alternative-splicing output, series matrix, MINiML family file, SOFT family file, and SRA run inventory. The… See the full description on the dataset page: https://huggingface.co/datasets/YannisTevissen/sma-gse108094-motor-neuron-rnaseq.robotics-constraint-aware-motion-v0.1What this dataset tests
Motion plans respect limits
Safety rules hold near humans
Paths avoid obstacles
Why this exists
Robots fail when planners ignore limits.This set catches that.
Data format
robot_state
planned_trajectory
constraints
environment
execution_result
Task
Emit one label
Give a short reason
Scoring
Correct label
Reference the broken limit
Reference space or motion
Constraint pressures
collision_risk
joint_limit
torque_limit… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/robotics-constraint-aware-motion-v0.1.motorola-reviewsMotamot_Bengali_Political_Sentiment_Analysis
Motamot: Bengali Political Sentiment Analysis Dataset
📖 Overview
Motamot is a Bengali political sentiment analysis dataset containing 7,058 labeled data points. Each entry is annotated with Positive or Negative sentiment, specifically tailored for analyzing political discourse in the Bengali language.
This dataset supports Natural Language Processing (NLP) research, with applications in sentiment classification, political opinion mining, and benchmarking pre-trained and… See the full description on the dataset page: https://huggingface.co/datasets/Mukaffi28/Motamot_Bengali_Political_Sentiment_Analysis.synthset-web
Important Note:
This dataset is still a work in progress. It is being updated regularly, and we do not recommend using this dataset at this time.
Dataset Card for Synthset-Web
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Update Log
Date
Description
10/07/2025
(synthdata4) has been uploaded. Synthetic data was curated by MAI-DS-R1
31/05/2025
A new dataset file (synthdata3) has been… See the full description on the dataset page: https://huggingface.co/datasets/motionlabs/synthset-web.VenusX_Frag_Motif_MF50banglabaitemo_motiv_tomifineweb-ultra-mini-pro
Dataset Card for Fineweb Ultra Mini
Fineweb Ultra Mini is a dataset derived from the original Fineweb dataset made by huggingface (see here: https://huggingface.co/datasets/HuggingFaceFW/fineweb).
The dataset focuses on extracting high quality data from the Fineweb dataset, from the 1-0.5% range. If you would like more data, though slightly sacrificing quality check out fineweb ultra mini, which focuses on the 2-3% of high quality data originally found in fineweb.… See the full description on the dataset page: https://huggingface.co/datasets/motionlabs/fineweb-ultra-mini-pro.nfl-defense-motion-adjustment-coherence-risk-v0.1What this repo is for
Detect when motion creates defensive breakdown risk.
Focus
motion type
adjustment speed
communication clarity
gap integrity
assignment clarity
Why it matters
Explosive plays often start with motion confusion.
webvid10m_motionswahili_500_motivation.csvMotoGP-Lean-AngleMotherPediatricianQA_ITA