datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
anemia-survey-dataset
Anemia Detection — Multi-Modal Clinical SEWA Rural Dataset
Organisation: SEWA Rural — Society for Education, Welfare and Action (Rural), Jhagadia, Gujarat, India
Dataset: sewa-rural-care/anemia-survey-dataset
Contact: sewarural@ymail.com
Version: 1.0 — July 2026
Dataset Summary
This dataset supports research into non-invasive, smartphone-based anemia
screening applicable to low-resource and rural healthcare settings. It was
collected by SEWA Rural — a non-profit… See the full description on the dataset page: https://huggingface.co/datasets/sewa-rural-care/anemia-survey-dataset.Runway_Frames_t2i_human_preferences
Rapidata Frames Preference
This T2I dataset contains roughly 400k human responses from over 82k individual annotators, collected in just ~2 Days using the Rapidata Python API, accessible to anyone and ideal for large scale evaluation.
Evaluating Frames across three categories: preference, coherence, and alignment.
Explore our latest model rankings on our website.
If you get value from this dataset and would like to see more in the future, please consider liking it.… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/Runway_Frames_t2i_human_preferences.bilingual-ocr-ru-en-synthetic
Bilingual OCR RU-EN Synthetic Dataset
This synthetic dataset is designed for bilingual text recognition (OCR) and script classification tasks (cyrillic / latin) at the word and short-line level.
Why are numbers, mathematical symbols, and the Greek alphabet included in the generation?
When creating synthetic OCR datasets, including an expanded set of characters (digits, mathematical signs, and Greek letters) is a deliberate step aimed at two main goals:… See the full description on the dataset page: https://huggingface.co/datasets/tehnik-tehnolog/bilingual-ocr-ru-en-synthetic.image-aesthetic-scores
Rule34.nexus · Licence: Rule34.nexus Derived Dataset Licence 1.0
Rule34.nexus Image Aesthetic Scores
1. Overview
This dataset contains per-image aesthetic predictions for images in the Rule34.nexus corpus.
Predictions were generated using
discus0434/aesthetic-predictor-v2-5. Source images are not
included in this dataset — only opaque post identifiers, the source image's SHA-256 hash,
the post's content type, and the predicted score.… See the full description on the dataset page: https://huggingface.co/datasets/rule34nexus/image-aesthetic-scores.yolo-rubber-ducks
Rubber Duck Detection Dataset
Overview
This dataset contains 192 annotated images of rubber ducks, specifically curated for object detection tasks. It was used for experimentation related to the YOLOv8n Rubber Duck Detector model.
NOTE: I DO NOT RECOMMEND USING THIS DATASET AT THIS TIME. There is an open and ongoing discussion around the use of the datasets that were combined for this.See related licensing discussion on the forum
Dataset Description… See the full description on the dataset page: https://huggingface.co/datasets/phrogzx/yolo-rubber-ducks.coffee_rust_multispec_classification
Coffee Rust Multispec Classification
A dataset for image classification of Coffee Rust Multispec Classification. The dataset contains 1,120 images across 2 classes: NoRust, Rust.Images per class:
NoRust: 273
Rust: 847
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{arocatrujillo2025colombian,
title={Colombian coffee tree leaves multispectral images dataset},
author={Aroca-Trujillo, Jorge Luis… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/coffee_rust_multispec_classification.Louis.Vuitton.Product.prices.Russia
Louis Vuitton web scraped data
About the website
The luxury fashion industry in the EMEA region, particularly in Russia, is characterized by a growing demand for high-end products from renowned brands. Louis Vuitton, a global leader in this industry, caters to this escalating demand through their extensive range of luxury clothing, accessories, and luggage. The brand has significantly increased its presence in Russia by leveraging the power of Ecommerce, effectively… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Louis.Vuitton.Product.prices.Russia.MJRecap_Human_filtered
Dataset Card
Introduction
In recent studies, there has been a significant concern regarding data privacy. While one can scrape data online or create one’s own datasets, there is a major problem concerning the privacy of any individuals depicted in a dataset, their consent to be published, as well as dataset copyright.
Because of this, the present dataset aims to focus on fully human-free and copyright-free material based on the existing published datasets created… See the full description on the dataset page: https://huggingface.co/datasets/RunningInTheVoid/MJRecap_Human_filtered.Rue.La.La.Product.prices.United.States
Rue La La web scraped data
About the website
Rue La La operates in the thriving Ecommerce industry in the United States. This online-driven marketplace sector is significantly fuelled by the continuous innovations in technology, the growing adoption of mobile devices, and the changing consumption patterns of consumers. In particular, Rue La La is recognized for its flash sales model, selling designer apparels, accessories, footwear, and home decor among other things. As… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Rue.La.La.Product.prices.United.States.Net.a.Porter.Product.prices.Russia
Net-a-Porter web scraped data
About the website
The EMEA fashion industry, particularly in Russia, has been experiencing substantial growth in online channels due to increased internet penetration and smartphone usage. A significant player in this advancement is Net-a-Porter. This platform belongs to the luxury ecommerce industry, offering a wide range of premium brands. With the shift towards digital platforms in the shopping behavior of consumers, Net-a-porter is making… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Net.a.Porter.Product.prices.Russia.Mr.Porter.Product.prices.Russia
Mr Porter web scraped data
About the website
Mr Porter is a prominent operator in the online retail industry within the EMEA region, specifically in Russia. The E-commerce industry in Russia is growing rapidly, amidst the increasing tech-savviness and online shopping habits of consumers. Mr Porters foundation on sophisticated technology offers them a competitive edge, especially in tailoring to Russias vast and diverse consumer base. E-commerce, particularly online… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Mr.Porter.Product.prices.Russia.