Datasets

IndoLepAtlas — Indian Lepidoptera & Host Plants Dataset A large-scale computer vision dataset of Indian butterflies, moths, and their larval host plants. Sourced from ifoundbutterflies.org with public CC-licensed photographs. Inspired by: iNaturalist | Domain: Indian Wildlife & Biodiversity Dataset Overview Butterflies Host Plants Total Species ~967 ~127 ~1,094 Images ~60,000 ~700 ~60,700 Source ifoundbutterflies.org ifoundbutterflies.org —… See the full description on the dataset page: https://huggingface.co/datasets/Butterfree/IndoLepAtlas.

Dataset Card for "LexGLUE" Dataset Summary Inspired by the recent widespread use of the GLUE multi-task benchmark NLP dataset (Wang et al., 2018), the subsequent more difficult SuperGLUE (Wang et al., 2019), other previous multi-task NLP benchmarks (Conneau and Kiela, 2018; McCann et al., 2018), and similar initiatives in other domains (Peng et al., 2019), we introduce the Legal General Language Understanding Evaluation (LexGLUE) benchmark, a benchmark dataset to evaluate… See the full description on the dataset page: https://huggingface.co/datasets/coastalcph/lex_glue.

Dataset Card for NOAA-ESD-CORAL-Bleaching Classification Dataset v1 Overview For the development of machine learning models to classify coral health, specifically identifying healthy hard coral (CORAL) and bleached hard coral (CORAL_BL).This dataset contains underwater imagery collected by NOAA's Ecosystem Sciences Division (ESD) and other benthic surveys. Labels Label Name Functional Group CORAL Healthy Hard Coral Hard Coral CORAL_BL Bleached… See the full description on the dataset page: https://huggingface.co/datasets/krithik274/NOAA-PIFSC-ESD-CORAL-Bleaching-Dataset.

INFINI-NEWS Corpus 🔎 Search this corpus online: query it with sub-second full-text search and n-gram counts — in the browser or via a public, keyless REST API, no download required — at infini-news.uni-graz.at (API reference). A multilingual news corpus extracted from Common Crawl CC-News WARC files. One row per article, with body text extracted via trafilatura, WARC provenance, and derived metadata (publish date, language, topic, byte hashes) in a single flat schema. Covers… See the full description on the dataset page: https://huggingface.co/datasets/ruggsea/infini-news-corpus.

CC-Bench: A Cognitive Conflict Benchmark for MLLMs in Safety-Critical Visual Inspection CC-Bench is a joint medical-industrial benchmark for evaluating whether multimodal large language models (MLLMs) remain visually grounded when plausible textual context conflicts with image evidence. The benchmark reorganizes public anomaly datasets into a unified four-way multiple-choice QA format for high-risk visual inspection. This repository currently contains: 4,282 images in total 2,157… See the full description on the dataset page: https://huggingface.co/datasets/annoymous-1/CC-Bench.

Mediach This dataset contains images and videos from russian imageboard 2ch. This dataset contains media files attached to the first post in discussions on the image board. There is another dataset with thread texts, which can be used for solving media label prediction task. Some of the files include NSFW content Prerequisites You need to have lfs and xet installed in your system: sudo emerge --ask dev-vcs/git-lfs curl -sSfL https://hf.co/git-xet/install.sh | sh… See the full description on the dataset page: https://huggingface.co/datasets/zeio/mediach.

Dataset Card for FashionMNIST Dataset Summary Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. We intend Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing… See the full description on the dataset page: https://huggingface.co/datasets/zalando-datasets/fashion_mnist.

HaGRID Gesture Recognition Subset Dataset Description A curated subset of the HaGRID (Hand Gesture Recognition Image Dataset) containing 24 gesture classes for training gesture recognition models. Dataset Summary Total Images: 19,200 Gesture Classes: 24 Samples per Class: 800 Image Format: JPEG Average Image Size: ~302 KB Splits Split Images Percentage Train 14,592 76% Val 1,728 9% Test 2,880 15% Gesture Classes call… See the full description on the dataset page: https://huggingface.co/datasets/schwein69/hagrid-subset.

TorNet-Temporal: Temporal Dual-Pol NEXRAD Radar for Tornado Detection A large-scale dataset of storm-centered NEXRAD WSR-88D radar sequences for tornado detection and prediction, featuring 24-channel dual-polarimetric data across variable-length temporal sequences. Dataset Summary 24,862 storm events from NEXRAD Level-II radar archives (2013-2022) 8-22 consecutive radar scans per event (~4-5 min cadence, ~45-90 min total; median 13 frames) 24 channels: 6 dual-pol radar… See the full description on the dataset page: https://huggingface.co/datasets/deepguess/tornet-temporal.

Dataset Card for Dataset Name Homepage: https://hazyresearch.stanford.edu/legalbench/ Repository: https://github.com/HazyResearch/legalbench/ Paper: https://arxiv.org/abs/2308.11462 Dataset Description Dataset Summary The LegalBench project is an ongoing open science effort to collaboratively curate tasks for evaluating legal reasoning in English large language models (LLMs). The benchmark currently consists of 162 tasks gathered from 40… See the full description on the dataset page: https://huggingface.co/datasets/nguha/legalbench.

Dataset Card for Fish-Visual Trait Analysis (Fish-Vista) Note that the '</Use this dataset>' option will only load the CSV files. To download the entire dataset, including all processed images and segmentation annotations, refer to Instructions for downloading dataset and images. See Example Code to Use the Segmentation Dataset Figure 1. A schematic representation of the different tasks in Fish-Vista Dataset. Instructions for downloading dataset and images… See the full description on the dataset page: https://huggingface.co/datasets/imageomics/fish-vista.

GroMo25: Multiview Time-Series Plant Image Dataset for Age Estimation and Leaf Counting Dataset Summary GroMo25 is a multiview, time-series plant image dataset designed for plant age estimation (in days) and leaf counting tasks in precision agriculture. It contains high-quality images of four crop species — Wheat, Okra, Radish, and Mustard — captured over multiple days under controlled conditions. Each plant is photographed from 24 angles across 5 vertical levels per day… See the full description on the dataset page: https://huggingface.co/datasets/MrigLabIITRopar/GroMo25.

Dataset Card for MVTec AD This dataset originates from MVTec but is provided in a different format. You can easily load it using FiftyOne The total number of samples remains the same as the original: 5,354. Installation If you haven't already, install FiftyOne: pip install -U fiftyone Usage import fiftyone as fo import fiftyone.utils.huggingface as fouh # Load the dataset # Note: other available arguments include 'max_samples', etc dataset =… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/mvtec-ad.

MR-RATE: A Vision-Language Foundation Model and Dataset for Magnetic Resonance Imaging This is the MR-RATE-atlas repository, part of the MR-RATE dataset release. It contains atlas-registered MRI volumes in which all imaging sequences within each study have been spatially normalized to a standard atlas-space. For full dataset details, native-space MRI volumes, radiology reports, metadata, and data splits, please refer to… See the full description on the dataset page: https://huggingface.co/datasets/Forithmus/MR-RATE-atlas.

HaGRID Gesture Recognition Subset Dataset Description A curated subset of the HaGRID (Hand Gesture Recognition Image Dataset) containing 24 gesture classes for training gesture recognition models. Dataset Summary Total Images: 19,200 Gesture Classes: 24 Samples per Class: 800 Image Format: JPEG Average Image Size: ~302 KB Splits Split Images Percentage Train 14,592 76% Val 1,728 9% Test 2,880 15%… See the full description on the dataset page: https://huggingface.co/datasets/s17660101713/hagrid-subset.

Dataset Card for Fotoyu Album Archive This dataset stores photo and video collections archived from Fotoyu albums using the potoyu-tree-downloader application. It is designed to act as a high-speed Cloudflare-backed CDN for serving static media assets, as well as providing a dataset for image/video classification and machine learning model training. Dataset Details Dataset Description The dataset aggregates scraped photo galleries and video albums… See the full description on the dataset page: https://huggingface.co/datasets/TierKun/Indonesian-running-photos.

Dataset Card for CIFAR-100 Dataset Summary The CIFAR-100 dataset consists of 60000 32x32 colour images in 100 classes, with 600 images per class. There are 500 training images and 100 testing images per class. There are 50000 training images and 10000 test images. The 100 classes are grouped into 20 superclasses. There are two labels per image - fine label (actual class) and coarse label (superclass). Supported Tasks and Leaderboards image-classification: The… See the full description on the dataset page: https://huggingface.co/datasets/uoft-cs/cifar100.

Dataset Card for Food-101 Dataset Summary This dataset consists of 101 food categories, with 101'000 images. For each class, 250 manually reviewed test images are provided as well as 750 training images. On purpose, the training images were not cleaned, and thus still contain some amount of noise. This comes mostly in the form of intense colors and sometimes wrong labels. All images were rescaled to have a maximum side length of 512 pixels. Supported Tasks and… See the full description on the dataset page: https://huggingface.co/datasets/ethz/food101.

Model Card for HEST-1k What is HEST-1k? A collection of 1,276 spatial transcriptomic profiles, each linked and aligned to a Whole Slide Image (with pixel size < 1.15 µm/px) and metadata. HEST-1k was assembled from 180 public and internal cohorts encompassing: 26 organs 2 species (Homo Sapiens and Mus Musculus) 398 cancer samples from 25 cancer types. HEST-1k processing enabled the identification of >1.5 million expression/morphology pairs and >76 million nuclei… See the full description on the dataset page: https://huggingface.co/datasets/MahmoodLab/hest.

CholecT50 Dataset (FiftyOne Format) This is a FiftyOne dataset version of the CholecT50 dataset. CholecT50 is a dataset of laparoscopic cholecystectomy surgeries, annotated with surgical action triplets. It is the first public dataset to provide action triplet annotations for surgical videos, enabling research in fine-grained surgical activity recognition. Dataset Summary CholecT50 consists of 50 videos of laparoscopic cholecystectomy surgeries. Each frame is annotated… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/cholect50.