AI Training Datasets

This public dataset contains raw weather files uploaded from the local weather/ directory. Top-level groups under weather/: - radar/: 45,529 files - grib/: 39,932 files - lightning/: 1,473 files - awosfull/: 39 files - metar/: 39 files - airportinfo.xlsx: 1 file Files are organized into date-based subdirectories where applicable. The dataset is uploaded in batches so interrupted transfers can resume without restarting completed commits.

Dataset · Robotics

Retargeted_AMASS_for_robotics

Kun Zhao

This project aims to retarget motion data from the AMASS dataset to various robot models and open-source the retargeted data to facilitate research and applications in robotics and human-robot interaction. AMASS (Archive of Motion Capture as Surface Shapes) is a high-quality human motion capture dataset, and the SMPL-X model is a powerful tool for generating realistic human motion data. By adapting the motion data from AMASS to different robot models, we hope to provide a more diverse and accessible motion dataset for robot training and human-robot interaction. This open-source project includes the following: 1. Retargeted Motions: Motion files retargeted from AMASS to various robot models.…

Dataset

OpenThoughts-114k

OpenThoughts

Open synthetic reasoning dataset with 114k high-quality examples covering math, science, code, and puzzles! Inspect the content with rich formatting with Curator Viewer. default subset containing ready-to-train data used to finetune the OpenThinker-7B and OpenThinker-32B models: metadata subset containing extra columns used in dataset construction: - problem - groundtruthsolution - deepseekreasoning - deepseeksolution - domain - source - testcases (code only) - startercode(code only) The numbers reported in the tables below are evaluated with our open-source tool Evalchemy. We are fully open-source. Our model weights, datasets, data generation code, evaluation code, and training code are…

Dataset · Robotics

Hy-Embodied-0.5-VLA-Data

Tencent

We introduce Hy-Embodied-0.5-VLA (Hy-VLA) — an end-to-end Vision-Language-Action system that spans the full robot learning stack: data collection, model design, pre-training, supervised fine-tuning, RL post-training, and real-world deployment. Built on the Hy-Embodied-0.5 MoT backbone, Hy-VLA integrates a flow-matching action expert, a compact memory encoder for multi-frame history, and a delta-chunk action representation decoupled from embodiment-specific kinematics. Powered by 10,000+ hours of high-fidelity UMI demonstrations collected via a custom fingertip interface with optical motion-capture, Hy-VLA achieves state-of-the-art results on the RoboTwin 2.0 benchmark (90.9% / 90.1% on…

Dataset · Other

SWE-rebench

Nebius

SWE-rebench is a large-scale dataset designed to support training and evaluation of LLM-based software engineering (SWE) agents, building upon and expanding our earlier release, SWE-bench-extra. It is constructed using a fully automated pipeline that continuously extracts real-world interactive SWE tasks from GitHub repositories at scale, as detailed in our paper SWE-rebench: An Automated Pipeline for Task Collection and Decontaminated Evaluation of Software Engineering Agents. The dataset currently comprises over 21,000 issue–pull request pairs from 3,400+ Python repositories, each validated for correctness through automated environment setup and test execution. A curated subset of these…

Dataset · Image classification

imagenet-1k

Large Scale Visual Recognition Challenge

ILSVRC 2012, commonly known as 'ImageNet' is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a "synonym set" or "synset". There are more than 100,000 synsets in WordNet, majority of them are nouns (80,000+). ImageNet aims to provide on average 1000 images to illustrate each synset. Images of each concept are quality-controlled and human-annotated. This dataset provides access to ImageNet (ILSVRC) 2012 which is the most commonly used subset of ImageNet. This dataset spans 1000 object classes and contains 1,281,167 training images, 50,000 validation images and 100,000 test…

Dataset · Question answering

belebele

AI at Meta

Belebele is a multiple-choice machine reading comprehension (MRC) dataset spanning 122 language variants. This dataset enables the evaluation of mono- and multi-lingual models in high-, medium-, and low-resource languages. Each question has four multiple-choice answers and is linked to a short passage from the FLORES-200 dataset. The human annotation procedure was carefully curated to create questions that discriminate between different levels of generalizable language comprehension and is reinforced by extensive quality checks. While all questions directly relate to the passage, the English dataset on its own proves difficult enough to challenge state-of-the-art language models. Being…

Dataset · Text generation

ProgramBench-Tests

ProgramBench

This dataset contains the AI-generated behavioral test suites used to evaluate model solutions in ProgramBench. ProgramBench is a benchmark that evaluates whether language models can rebuild programs from scratch. Given only a compiled binary and its documentation, AI agents must architect and implement a complete codebase that reproduces the original program's behavior. These test suites are used to assess whether a candidate solution is behaviorally equivalent to the original program. The dataset covers 200 task instances spanning open-source repositories in 6 programming languages: Each task instance is a folder named. containing: - tests/ — Compressed archives, each containing a…

Picbreeder-VLM Archive Every image evolved by the swarm of vision-language-model "breeders" in In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models (GECCO 2026), together with the CPPN genomes that produced them, the agents' reasoning transcripts, the lineage graphs, and the analysis artifacts behind the paper and blog. The original Picbreeder (Secretan et al., 2008) let crowds of humans collaboratively evolve images from CPPN

Dataset · Image and text to text

FineVisionMax

HuggingFaceM4

FineVision is a massive collection of datasets with 17.3M images, 24.3M samples, 88.9M turns, and 9.5B answer tokens, designed for training state-of-the-art open Vision-Language-Models. More detail can be found in the blog post: https://huggingface.co/spaces/HuggingFaceM4/FineVision The version in this repository concatenated all the configs in the original dataset and then shuffled them. This is done to facilitate streaming the data directly from the hub! Each of the publicly available sub-datasets present in FineVision are governed by specific licensing conditions. Therefore, when making use of them you must take into consideration each of the licenses governing each dataset. To the…