datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Moroccan-Arabic-Multimodal-Emotion-Recognition
MDER-MA — Moroccan Arabic Multimodal Emotion Recognition (TTS-aligned repackaging)
A repackaging of the MDER-MA dataset that pairs every audio clip with its Arabic (Moroccan dialect / Darija) transcript and ships speaker-disjoint train/validation/test splits.
Original dataset: Ouali, S. & El Garouani, S. (2025). MDER-MA: A multimodal dataset for emotion recognition in low-resource Moroccan Arabic language. Data in Brief. DOI: 10.1016/j.dib.2025.112005. Mendeley:… See the full description on the dataset page: https://huggingface.co/datasets/FatimahEmadEldin/Moroccan-Arabic-Multimodal-Emotion-Recognition.express-emotion-recognition
EXPRESS Dataset
Overview
This is the EXPRESS dataset from the paper:
Fluent but Unfeeling: The Emotional Blind Spots of Language Models
EXPRESS (EXperiences and PRocessed Emotions in Self-disclosure Stories) is a benchmark dataset for evaluating fine-grained emotion recognition in language models. It contains 33,679 naturally occurring Reddit-based human experiences paired with self-disclosed emotion labels.
EXPRESS uses emotions explicitly disclosed by the… See the full description on the dataset page: https://huggingface.co/datasets/bangzhao/express-emotion-recognition.facebook-personality-recognition-wcpr13The Workshop on Computational Personality Recognition 2013 was a competition based on this Facebook dataset.
The purpose is to predict the personality scores or classes from text and ego-network data
reference paper: https://ojs.aaai.org/index.php/ICWSM/article/view/14467/14316
chemical-safety-boundary-recognition-v01Chemical Safety Boundary Recognition v01
What this dataset is
This dataset evaluates whether a system can recognize chemical danger before it escalates.
You give the model:
A reaction setup and scale
Hazards and limits
Live state and early warning signals
You ask it to choose one response.
This is not about being careful.
It is about seeing boundaries.
Why this matters
Many chemical incidents start with trends.
Temperature rising
Pressure oscillating
Gas evolving
Viscosity climbing
Equipment… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/chemical-safety-boundary-recognition-v01.tabular-letter-recognition
Source:
Creator:
David J. Slate
Odesta Corporation; 1890 Maple Ave; Suite 115; Evanston, IL 60201
Donor:
David J. Slate (dave '@' math.nwu.edu) (708) 491-3867
Data Set Information:
The objective is to identify each of a large number of black-and-white rectangular pixel displays as one of the 26 capital letters in the English alphabet. The character images were based on 20 different fonts and each letter within these 20 fonts was randomly distorted to produce a file of 20… See the full description on the dataset page: https://huggingface.co/datasets/wwydmanski/tabular-letter-recognition.wine-recognition
Dataset Card for Wine Recognition dataset
Dataset Summary
These data are the results of a chemical analysis of wines grown in the same region in Italy but derived from three different cultivars. The analysis determined the quantities of 13 constituents found in each of the three types of wines. In a classification context, this is a well posed problem with "well behaved" class structures. A good data set for first testing of a new classifier, but not very challenging.… See the full description on the dataset page: https://huggingface.co/datasets/katossky/wine-recognition.Face_Emotion_Insight_Recognition_Dataset
Multimodal Emotion & Physiological Analysis
Project Overview
This project explores the relationship between physiological signals and facial micro expressions to improve emotion recognition in therapeutic settings. This research assists in determining which facial and physiological signals should be prioritized to detect clinical "misalignment" or hidden distress during therapy sessions.
Dataset Selection & Description
Source: The dataset is sourced from Kaggle (Face Emotion & Physiological… See the full description on the dataset page: https://huggingface.co/datasets/ofekponzo/Face_Emotion_Insight_Recognition_Dataset.youtube-vlog-personality-recognition-wcpr14The Workshop on Personality Recognition 2014 was a competition based on this dataset. The goal is to predict personality scores from visual features and text transcripts.
Reference Paper: https://infoscience.epfl.ch/server/api/core/bitstreams/e61b4c1b-0c56-4afc-9786-23e9841cb81f/content
fws-recognitioncctv-action-recognition-aux-cachepassing-lane-recognition-under-pressure-premier-league-v0.1Audio_Event_Recognition_Features