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Offline RL trajectories, game data, robot demonstrations, RLHF, multi-agent interaction
10,050 datasets
Sachsenheim, Germany's urban development plan for the 'Bannhalde' area, modified and transformed according to INSPIRE standards. The dataset is provided as a Web Feature Service (WFS) based on an XPlanung version 5.0 data model. It was last updated on November 7, 2025, and is published by the German Federal Agency for Cartography and Geodesy.
Wildfire Vision Hub provides resources for wildfire detection, forecasting, and segmentation, developed by DRMALEK and updated through late 2025. The repository aggregates computer vision and remote sensing data specifically focused on wildfire events in Turkey and Syria.
Real-IAD is an industrial anomaly detection dataset released in 2024 for research purposes. It provides a collection of multi-view images of industrial objects designed for benchmarking defect detection algorithms using a dedicated evaluation tool.
RefSpatial-Expand-Bench extends evaluation for spatial referring tasks to include both indoor and outdoor environments. The associated paper, RoboRefer, was accepted to the NeurIPS 2025 conference. It was released by BAAI and last updated on October 23, 2025.
Loans and grants from Oregon's Special Public Works Fund for publicly-owned economic development facilities. The dataset covers fiscal years 2019 through 2025, as reported by data.oregon.gov. It was last updated in September 2025.
A dataset generated for the NeurIPS 2025 paper "Capturing Individual Human Preferences with Reward Features". It uses 8 publicly available reward models as proxies for human raters to support reproducibility in the "Modelling groups of real users" section. The dataset was authored by Google and last updated on 2025-10-29.
Samtgemeinde Harpstedt in Germany provides a Web Map Service (WMS) for its development plan '013 Amtsacker II 1. Change'. The data is published by the Bundesamt für Kartographie und Geodäsie and was last updated on November 4, 2025. The dataset is in its original data format, likely detailing zoning or land-use modifications.
Benefit Unexpectedness and Other-Praising Study 1, 2017 contains survey data from 299 participants recruited via Amazon Mechanical Turk. The study, funded by the Center of Social and Economic Behavior at the University of Cologne, examined how recalling an unexpected versus expected benefit influenced intentions to express gratitude. Participants described a benefit and rated their intention to express other-praising or self-benefiting statements.
Ecuador experienced domestic instability between 1996 and 2006, culminating in a new constitution under President Rafael Correa. This annotated data project examines Correa's anti-establishment movement, the role of popular mobilization, and the distinct constitution-making process. The project was authored by Norman Wray Reyes and harvested by QDR.
Hassen Ebrahim's Annotation for Transparent Inquiry (ATI) data project accompanies an article on the making of South Africa's 1996 constitution. The project likely contains annotations and data related to the negotiation process, including gridlock over issues like the constituent assembly makeup, death penalty, and language of education. The dataset was harvested by QDR and last updated in October 2025.
87 original interviews conducted in summer 2015 and UNHCR documents form the empirical basis for a 2018 article analyzing refugee mobilization. The data includes meeting minutes, governance plans, security reports, maps, and statistical reports from the Za'atari camp in Jordan. Killian Clarke compiled this material from web-based sources, primarily the UNHCR data-sharing portal.
Mesostructured Ni/CeO2 catalysts achieved near-complete acetic acid conversion (>97%) at 500°C with a hydrogen yield over 51.5% after 5 hours. This dataset, authored by Pedro J. MEGIA and harvested from e-cienciaDatos, contains results from oxidative steam reforming experiments over various CeO2-based supports. The work evaluates the influence of the O2/AcOH molar ratio on conversion, coke deposition, and hydrogen yield.
MMSI-Bench is an evaluation dataset for multi-image spatial intelligence tasks, created by RunsenXu. The dataset was last updated on October 23, 2025, and includes normalized human response times and difficulty levels for its samples. It is referenced in a research paper and supported by the LMMs-Eval repository.
6,771,826,271 standard rated chess games played on lichess.org, updated monthly by Lichess as of October 2025. The collection is provided in Parquet format to facilitate large-scale computational analysis of game history rather than traditional PGN viewing.
Support2 is a reinforcement learning dataset from the OpenML platform, categorized for control systems tasks. The dataset is tagged as a benchmark for evaluating agent performance. Specific details on row count, authorship, and temporal coverage are not provided in the available metadata.
Support2 is a tabular reinforcement learning benchmark dataset hosted on OpenML. The dataset is categorized for reinforcement learning tasks, indicating it contains state, action, and reward information suitable for training and evaluating RL agents. Details on its creator, size, and specific temporal context are not provided in the available metadata.
OpenML's 'support' dataset is a benchmark for reinforcement learning agents, categorized under Agent Training and Control. Platform tags indicate it contains tabular data designed for evaluating control algorithms. Its specific origin, size, and creation date are not documented in the provided metadata.
Math-VR-train-en is a large-scale bilingual training dataset designed for research on mathematical visual reasoning. It accompanies the Math-VR Benchmark and was created by author gogoduan, with its metadata last updated on October 22, 2025. The dataset addresses the need for visual reasoning in mathematical problem-solving, such as drawing auxiliary lines or plotting geometric shapes.
Neighborhood Emission Mapping Operation (NEMO) is an anthropogenic emission dataset for the contiguous United States (CONUS) based on the US EPA National Emission Inventories 2017. It was produced by the Air Quality Laboratory at George Mason University and provides hourly emissions for four representative days each month, allocated to 1km grids using 108 spatial surrogates. The dataset includes gaseous and particulate pollutants speciated for the Carbon Bond 6 chemical mechanism across 9 source sectors.
data.oregon.gov provides records of Community Development Block Grant Program awards from Fiscal Years 2019 to 2025. The dataset includes details on fund use, recipient organizations, award types, and amounts. It is maintained by the state of Oregon and was last updated in September 2025.