datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MVU-Eval-Data
MVU-Eval Dataset
Paper | Code | Project Page
Dataset Description
The advent of Multimodal Large Language Models (MLLMs) has expanded AI capabilities to visual modalities, yet existing evaluation benchmarks remain limited to single-video understanding, overlooking the critical need for multi-video understanding in real-world scenarios (e.g., sports analytics and autonomous driving). To address this significant gap, we introduce MVU-Eval, the first comprehensive… See the full description on the dataset page: https://huggingface.co/datasets/stephenbasd/MVU-Eval-Data.tweet_emotion_intensity
Tweet Emotion Intensity Dataset
Papers:
Emotion Intensities in Tweets. Saif M. Mohammad and Felipe Bravo-Marquez. In Proceedings of the sixth joint conference on lexical and computational semantics (*Sem), August 2017, Vancouver, Canada.
WASSA-2017 Shared Task on Emotion Intensity. Saif M. Mohammad and Felipe Bravo-Marquez. In Proceedings of the EMNLP 2017 Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media (WASSA), September 2017… See the full description on the dataset page: https://huggingface.co/datasets/stepp1/tweet_emotion_intensity.AndroidDaily
AndroidDaily Dataset
This repository hosts the AndroidDaily dataset, a benchmark grounded in real-world mobile usage patterns, introduced in the paper Step-GUI Technical Report.
The AndroidDaily benchmark comprises 3146 static actions and 235 end-to-end tasks across high-frequency daily scenarios. It is specifically designed to assess whether GUI agents can handle authentic everyday usage, providing a robust evaluation for GUI automation capabilities.
Project Page:… See the full description on the dataset page: https://huggingface.co/datasets/stepfun-ai/AndroidDaily.MRC-psycholinguistic-database
MRC Psycholinguistic Database
This is the complete MRC psycholinguistic database as found on https://websites.psychology.uwa.edu.au/school/mrcdatabase/uwa_mrc.htm.
Usage
This dataset is ideal for training and evaluating machine learning models for English word concreteness.
Acknowledgments
We extend our heartfelt gratitude to all the authors of the original dataset.
License
This dataset is made available under the MIT license.
step-counter-survey
In-app purchases, ratings and widgets of iPhone step counters (US App Store, 17 August 2026)
A hand-made survey of 18 iPhone step counter apps, read off their own App Store pages on 17 August 2026.
It exists because the one number people most want — what an app charges once you have installed it — is not available from Apple's search interface at all. It appears only on each app's own page, and only if you scroll to the In-App Purchases block.
There is no ranking and no score in… See the full description on the dataset page: https://huggingface.co/datasets/thee3/step-counter-survey.turkish-plu-step-inferenceHomepage: https://github.com/GGLAB-KU/turkish-plu
turkish-plu-step-orderingHomepage: https://github.com/GGLAB-KU/turkish-plu/
English-Age-of-Acquisition
English Age-of-Acquisition (AoA)
This is the dataset provided by Kuperman et. al (2012) https://link.springer.com/article/10.3758/s13428-012-0210-4.
disputed-terms-national
Disputed Contract and Instrument Terms in US State Appellate Courts
One row per (term, decision) pair: a word or phrase a court quoted as the disputed language in a decision containing an ambiguity holding, across the state appellate courts of all 50 states and DC. Terms are extracted from the whole opinion by cue-anchored quotation ('the term "X"', '"X" as used in'), classified into functional drafting categories, and linked to the holding by three graded levels of evidence.… See the full description on the dataset page: https://huggingface.co/datasets/StepUpLaw/disputed-terms-national.step-counter-review-themes
What reviews of iPhone step counters talk about (US App Store, 19 August 2026)
7,859 App Store reviews of 10 iPhone step counters, counted against 21 themes and split by the rating the reviewer left. Collected on 19 August 2026.
It answers a question nobody else publishes data for: what do people in this category actually talk about? It does not answer which app is better — there is no ranking, no score and no recommendation anywhere in this file.
⚠️ It contains no reviews. No… See the full description on the dataset page: https://huggingface.co/datasets/thee3/step-counter-review-themes.us-state-estate-inheritance-tax-2026
US state estate and inheritance tax, 2026
All 50 US states and the District of Columbia, with the 2026 estate or
inheritance tax exemption, the full rate schedule, the statutory citation, and
the special rules that break naive calculations.
Compiled and maintained by Kevin D. Klagge, Esq., a
Florida estate planning and elder law attorney, because no machine-readable
version of this existed and the human-readable versions disagree with each
other.
Canonical page:… See the full description on the dataset page: https://huggingface.co/datasets/StepUpLaw/us-state-estate-inheritance-tax-2026.statutory-staleness-fl
Statutory Staleness in Florida Appellate Construction Holdings
One row per (decision, statutory section) pair where a Florida appellate court construed the meaning of a Florida statute, with whether that section has been amended since the decision and, where two editions of the code are held, whether the operative text actually changed. A citator reports whether a case was overruled by another case; it is far weaker on the other way a holding dies, which is that the legislature… See the full description on the dataset page: https://huggingface.co/datasets/StepUpLaw/statutory-staleness-fl.protocols-with-stepsAll protocols from https://github.com/protocolsio/protocols in text form with steps as json list
reformation-fl
Florida Reformation of Instruments, 1853-2026
Every Florida state appellate decision litigating the reformation of a legal instrument -- will, trust, deed, contract or insurance policy -- with the instrument type, the kind of drafting error alleged, the outcome, and which statutory regime was in force. Florida authorised trust reformation in 2007 (s. 736.0415) and will reformation in 2011 (s. 732.615); before those dates the remedy rested on equity, and for wills was unavailable… See the full description on the dataset page: https://huggingface.co/datasets/StepUpLaw/reformation-fl.concreteness-ratings
English Words Concreteness Rating
This dataset is provided by the research "Concreteness ratings for 40 thousand generally known English word lemmas" of Brysbaert et al. (2014).
The original dataset can be found here.
Usage
This dataset is ideal for training and evaluating machine learning models for English word concreteness.
Acknowledgments
We extend our heartfelt gratitude to all the authors of the original dataset.
License
This dataset is made… See the full description on the dataset page: https://huggingface.co/datasets/StephanAkkerman/concreteness-ratings.Electronics_Product_Review_With_Sentiment
📊 Amazon Electronics Review Dataset
This dataset contains Amazon Electronics product reviews with sentiment.It was preprocessed to remove reviews without helpful vote and unverified purchases.
✅ Features
text: The main review text written by customers.
review_sentiment: Positive, Negative, Neutral (classified using Mistral Large Language Model).
verified_purchase: Boolean flag indicating if purchase was verified.
helpful_votes: Number of helpful votes received.… See the full description on the dataset page: https://huggingface.co/datasets/stephaniestv/Electronics_Product_Review_With_Sentiment.secure-item-75220e
secure-item-75220e
Synthetic sensors test data: 37 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/stephanie24/secure-item-75220e.africa-synth-cancer-cancer-risk-factors-steps-all
Cancer Risk Factors - WHO STEPS Survey | Africa (World Health Organization)
Size category: 1K<n<10K - Formats: csv - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Health datasets help researchers… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-cancer-cancer-risk-factors-steps-all.english-words-human-similarityimageability-corpus
English Words Imageability
This dataset is a collection of two datasets provided by Marc A. Kastner on GitHub.
I merged the datasets and kept only the word, visual, phonetic, and textual columns.
The data is scaled using a MinMaxScaler so that the whole dataset can be used as one.
Usage
This dataset is ideal for training and evaluating machine learning models for word imageability.
Acknowledgments
We extend our heartfelt gratitude to all the authors of the… See the full description on the dataset page: https://huggingface.co/datasets/StephanAkkerman/imageability-corpus.orthographic-similarity-ratings
Orthographic similarity ratings for English-Spanish cognates from the academic word list
This dataset is derived from the paper "Orthographic similarity ratings for English-Spanish cognates from the academic word list" by Hout et al.
You can find there paper here and the original dataset here.
ABX-RM-015_visa_stepwise_cell_wall_thickening-v0.1ABX-RM-015 Vancomycin Intermediate Stepwise
Purpose
Detect stepwise cell wall thickening consistent with VISA emergence.
Core pattern
Staphylococcus aureus
vancomycin exposure
wall_thickness_nm increases through sequential step events
MIC enters VISA range later
autolysis_rate_rel drops during remodeling
Files
data/train.csv
data/test.csv
scorer.py
Schema
Each row is one timepoint in a within strain series.
Required columns
row_id
series_id
timepoint_h
organism
strain_id
drug_name… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ABX-RM-015_visa_stepwise_cell_wall_thickening-v0.1.adapt-mm-step5-embeddingsturkish-plu-step-inferencerpp_step1_deepseek-chat-v3-0324legal-client-update-status-risk-next-step-coherence-v0.1What this dataset does
You receive
case status
deadlines and orders
risk register
draft update text
You decide
coherent
or
incoherent
Daily use
stop misleading updates
stop missed decision points
reduce complaints
reduce negligence exposure
egal-judgment-enforcement-step-coherence-risk-v0.1Use
Firms check
enforcement route
asset match
jurisdiction
timing
Stops
wasted enforcement
procedural failure
cost escalation
test-datasetcode_risktx_scam