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Offline RL trajectories, game data, robot demonstrations, RLHF, multi-agent interaction
10,050 datasets
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.
TartanGround is a large-scale, multi-modal dataset for ground robot perception and navigation. It was created by theairlabcmu and collected across 63 photorealistic simulation environments. The dataset was last updated on October 14, 2025.
Decompile-Bench is the first open-source dataset comprising two million binary-source function pairs condensed from 100 million collected pairs. The dataset, created by LLM4Binary, includes both C and C++ source code, whereas earlier models were limited to C only. It was last updated on September 30, 2025.
RoboCerebra is a large-scale benchmark designed to evaluate robotic manipulation in long-horizon tasks. It shifts the focus of robotic imitation learning from fast, reactive System 1 behavior to slow, deliberate System 2 reasoning. The benchmark was authored by qiukingballball and last updated on Hugging Face in October 2025.
From 2015 to 2021, this dataset tracks the City of Los Angeles's progress toward two housing goals: permitting 100,000 new housing units and building or preserving 15,000 affordable units for low-income households. It originates from data.lacity.org and was last updated on September 11, 2025. The data includes columns for Fiscal Year, New Housing Units, Cumulative New Housing Units, and various categories of affordable housing production and preservation.
SutureBot provides a benchmark framework for developing autonomous surgical robotic policies. The dataset contains high-resolution, multi-camera video and robot kinematics from real robot demonstrations on tissue phantoms. It was authored by jchen396 and last updated on Hugging Face in October 2025.
A technical report from 2025 provides data and results supporting a study using the EPA Storm Water Management Model (SWMM). The data includes simulation results for entrapped air volume against inflow bias and other metrics, exploring effects of manhole diameter and inflow rise. The full test set included 15 different bottom slopes, though reported results are limited to three.
Björn Þór Jónsson (DataverseNO) published this dataset in 2025 to support research on Quality Diversity (QD) search algorithms in sound synthesis. It contains outputs from an Innovation Engine algorithm that evolves sounds using unsupervised dimensionality reduction and both full-reference and no-reference quality evaluation metrics.
New York State Energy Research and Development Authority (NYSERDA) records detail ground source heat pump projects supported by a rebate program from 2017 through 2019. The dataset contains project characteristics, costs, incentives, and system specifications for installations that applied before January 1, 2020. It was published by data.ny.gov and last updated in August 2024.
Thermal energy accounts for 37% of net energy consumption in New York State. This dataset lists the make and model of ground source heat pump equipment installed under a state rebate program from 2017 through 2019, compiled by the New York State Energy Research and Development Authority.
A 663 KB User Guide for the National Statistics Postcode Lookup (NSPL) from August 2022. This document from the Government Digital Service details the methodology for assigning administrative areas to UK postcodes, data formats, quality, and limitations. Various annexes and tables provide supporting information on data currency and recent changes.
A 345KB user guide from the Government Digital Service explains the ONSUD dataset. The guide details directory content, data currency, methodology for assigning statistical areas to postcodes, data formats, quality limitations, and recent changes. It was last updated on the platform in August 2025.
A 136KB user guide document from the Government Digital Service details the National Statistics UPRN Lookup (NSUL). The guide covers directory content, data currency, methodology for assigning areas to postcodes, data formats, quality, limitations, and recent changes. It was last updated on the platform on August 11, 2025.
A user guide for the National Statistics Postcode Lookup (NSPL) dataset from August 2021. The guide, published by the Government Digital Service, contains information on directory content, data currency, methodology, formats, quality, and recent changes. It is a 659 KB HTML document last updated on the platform in August 2025.
National Statistics Postcode Lookup (NSPL) provides a mapping between UK postcodes and various administrative, health, and electoral geographies. The February 2021 User Guide details the methodology, data formats, quality, and recent changes impacting the data. This guide, published by the Government Digital Service, is a 602 KB HTML document.
National Statistics Postcode Lookup (NSPL) is a dataset linking UK postcodes to administrative and statistical geographies. The user guide, published by the Government Digital Service, details the data's content, currency, methodology, formats, quality, and recent changes. The guide file is 597 KB in size and was last updated on the platform in August 2025.
August 2020 version of the user guide for the National Statistics Postcode Lookup (NSPL). The 604 KB HTML document, published by the Government Digital Service, details directory content, data currency, assignment methodology, formats, quality, and recent changes. It includes annexes and tables for supporting information.
May 2020 version of the user guide for the National Statistics Postcode Lookup (NSPL) dataset. The guide, published by the Government Digital Service, contains information on directory content, data currency, assignment methodology, formats, quality, limitations, and recent changes. The file is 624 KB in size and is in HTML format.
Government Digital Service documentation details the methodology for assigning statistical areas to UK postcodes. The user guide covers data currency, formats, quality, and recent changes impacting the dataset. This 383 KB HTML file was last updated on the platform in August 2025.