datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mbpp
Dataset Card for Mostly Basic Python Problems (mbpp)
Dataset Summary
The benchmark consists of around 1,000 crowd-sourced Python programming problems, designed to be solvable by entry level programmers, covering programming fundamentals, standard library functionality, and so on. Each problem consists of a task description, code solution and 3 automated test cases. As described in the paper, a subset of the data has been hand-verified by us.
Released here as part of… See the full description on the dataset page: https://huggingface.co/datasets/google-research-datasets/mbpp.peacock-data-public-datasets-idcseedance-2-prompts-datasets
🎞️ Seedance-2-prompts-datasets
🎞️ The ultimate Seedance-2 video prompt dataset (50GB+). 8100+ video generation prompts with full metadata and preview frames. Truly open source: No login, no ads, no redirection. Just pure data for AI video creators.
This project is a massive collection of prompts used for Bytedance's Seedance 2.0 and the resulting generated videos. The entire dataset exceeds 50GB and contains 8100+ videos, all structured into a comprehensive dataset.
Due… See the full description on the dataset page: https://huggingface.co/datasets/GokuScraper/seedance-2-prompts-datasets.paws
Dataset Card for PAWS: Paraphrase Adversaries from Word Scrambling
Dataset Summary
PAWS: Paraphrase Adversaries from Word Scrambling
This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order information for the problem of paraphrase identification. The dataset has two subsets, one based on Wikipedia and the other one based on the Quora Question Pairs (QQP) dataset.
For further… See the full description on the dataset page: https://huggingface.co/datasets/google-research-datasets/paws.gpt-image-2-prompts-datasets
🖼️ GPT Image 2 Prompt Dataset
🖼️ The ultimate GPT Image 2 prompt dataset (5GB+). 15,000+ image generation prompts with full metadata and preview images. Truly open source: No login, no ads, no redirection. Just pure data for AI image creators.
This project is a massive collection of prompts used for OpenAI's GPT Image 2 model and the resulting generated images. The entire dataset exceeds 5GB and contains 15,000+ images, all structured into a comprehensive dataset.
Due to… See the full description on the dataset page: https://huggingface.co/datasets/Goku-OpenLab/gpt-image-2-prompts-datasets.fev_datasets
Forecast evaluation datasets
This repository contains time series datasets that can be used for evaluation of univariate & multivariate forecasting models.
The main focus of this repository is on datasets that reflect real-world forecasting scenarios, such as those involving covariates, missing values, and other practical complexities.
The datasets follow a format that is compatible with the fev package.
Data format and usage
Each dataset satisfies the following… See the full description on the dataset page: https://huggingface.co/datasets/autogluon/fev_datasets.wikipediaWikipedia dataset containing cleaned articles of all languages.
The datasets are built from the Wikipedia dump
(https://dumps.wikimedia.org/) with one split per language. Each example
contains the content of one full Wikipedia article with cleaning to strip
markdown and unwanted sections (references, etc.).LIBERO-datasets
LIBERO Datasets
This is a repo that stores the LIBERO datasets. The structure of the dataset can be found below:
libero_object/
libero_spatial/
libero_goal/
libero_90/
libero_10/
Demonstrations of each task is stored in a hdf5 file. Please refer to download script from the official LIBERO repo for more details.
datasets-tests-compressionfish_datasets_real_electrodyn_expertsys_twodim_fourierbanking77
Dataset Card for BANKING77
Dataset Summary
Deprecated: Dataset "banking77" is deprecated and will be deleted. Use "PolyAI/banking77" instead.
Dataset composed of online banking queries annotated with their corresponding intents.
BANKING77 dataset provides a very fine-grained set of intents in a banking domain.
It comprises 13,083 customer service queries labeled with 77 intents.
It focuses on fine-grained single-domain intent detection.
Supported Tasks and… See the full description on the dataset page: https://huggingface.co/datasets/legacy-datasets/banking77.chronos_datasets
Chronos datasets
Time series datasets used for training and evaluation of the Chronos forecasting models.
Note that some Chronos datasets (ETTh, ETTm, brazilian_cities_temperature and spanish_energy_and_weather) that rely on a custom builder script are available in the companion repo autogluon/chronos_datasets_extra.
See the paper for more information.
Data format and usage
The recommended way to use these datasets is via https://github.com/autogluon/fev.
All datasets… See the full description on the dataset page: https://huggingface.co/datasets/autogluon/chronos_datasets.coconano-banana-pro-prompts-datasets
🖼️ Nano Banana Pro Prompt Dataset
🖼️ The ultimate Nano Banana Pro prompt dataset (6GB+). 26,000+ image generation prompts with full metadata and preview images. Truly open source: No login, no ads, no redirection. Just pure data for AI image creators.
This project is a massive collection of prompts used for Nano Banana Pro AI image model and the resulting generated images. The entire dataset exceeds 6GB and contains 26,000+ images, all structured into a comprehensive… See the full description on the dataset page: https://huggingface.co/datasets/Goku-OpenLab/nano-banana-pro-prompts-datasets.harbor-datasetsnq_open
Dataset Card for nq_open
Dataset Summary
The NQ-Open task, introduced by Lee et.al. 2019,
is an open domain question answering benchmark that is derived from Natural Questions.
The goal is to predict an English answer string for an input English question.
All questions can be answered using the contents of English Wikipedia.
Supported Tasks and Leaderboards
Open Domain Question-Answering,
EfficientQA Leaderboard:… See the full description on the dataset page: https://huggingface.co/datasets/google-research-datasets/nq_open.mv3dpt-datasets
Multi-View 3D Point Tracking Datasets
This repository hosts the training and evaluation datasets associated with the paper Multi-View 3D Point Tracking.
Project Page: https://ethz-vlg.github.io/mvtracker/
Code/Github Repository: https://github.com/ethz-vlg/mvtracker
Abstract
We introduce the first data-driven multi-view 3D point tracker, designed to track arbitrary points in dynamic scenes using multiple camera views. Unlike existing monocular trackers, which struggle… See the full description on the dataset page: https://huggingface.co/datasets/ethz-vlg/mv3dpt-datasets.fashion_mnist
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.FlashRAG_datasets
⚡FlashRAG: A Python Toolkit for Efficient RAG Research
FlashRAG is a Python toolkit for the reproduction and development of Retrieval Augmented Generation (RAG) research. Our toolkit includes 36 pre-processed benchmark RAG datasets and 16 state-of-the-art RAG algorithms.
With FlashRAG and provided resources, you can effortlessly reproduce existing SOTA works in the RAG domain or implement your custom RAG processes and components.
For more information, please view our GitHub repo… See the full description on the dataset page: https://huggingface.co/datasets/RUC-NLPIR/FlashRAG_datasets.dataset-with-standalone-yamlThis is a test dataset used in the datasets library CI
go_emotions
Dataset Card for GoEmotions
Dataset Summary
The GoEmotions dataset contains 58k carefully curated Reddit comments labeled for 27 emotion categories or Neutral.
The raw data is included as well as the smaller, simplified version of the dataset with predefined train/val/test
splits.
Supported Tasks and Leaderboards
This dataset is intended for multi-class, multi-label emotion classification.
Languages
The data is in English.
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/google-research-datasets/go_emotions.c4A colossal, cleaned version of Common Crawl's web crawl corpus.
Based on Common Crawl dataset: "https://commoncrawl.org".
This is the processed version of Google's C4 dataset by AllenAI.nerf-gs-datasetsI keep a collection compiled of existing datasets from various sources for training NeRFs or Splats. This dataset is most of that collection. All of the individual scenes also have a trained Gaussian Splat.
https://rishit-dagli.github.io/2025/03/28/nerf-gs-datasets.html
crowdkit-datasetsconceptual_captions
Dataset Card for Conceptual Captions
Dataset Summary
Conceptual Captions is a dataset consisting of ~3.3M images annotated with captions. In contrast with the curated style of other image caption annotations, Conceptual Caption images and their raw descriptions are harvested from the web, and therefore represent a wider variety of styles. More precisely, the raw descriptions are harvested from the Alt-text HTML attribute associated with web images. To arrive at the… See the full description on the dataset page: https://huggingface.co/datasets/google-research-datasets/conceptual_captions.natural_questions
Dataset Card for Natural Questions
Dataset Summary
The NQ corpus contains questions from real users, and it requires QA systems to
read and comprehend an entire Wikipedia article that may or may not contain the
answer to the question. The inclusion of real user questions, and the
requirement that solutions should read an entire page to find the answer, cause
NQ to be a more realistic and challenging task than prior QA datasets.
Supported Tasks and Leaderboards… See the full description on the dataset page: https://huggingface.co/datasets/google-research-datasets/natural_questions.quarel
Dataset Card for "quarel"
Dataset Summary
QuaRel is a crowdsourced dataset of 2771 multiple-choice story questions, including their logical forms.
Supported Tasks and Leaderboards
More Information Needed
Languages
More Information Needed
Dataset Structure
Data Instances
default
Size of downloaded dataset files: 0.63 MB
Size of the generated dataset: 1.53 MB
Total amount of disk used: 2.17 MB
An example of 'train'… See the full description on the dataset page: https://huggingface.co/datasets/community-datasets/quarel.peacock-data-public-datasets-ywang30eli5Explain Like I'm 5 long form QA datasetprocessed_datasets