datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
xfield-radar-dataset-20260915
XField radar dataset — formal snapshot, 2026-09-15
Upload status: COMPLETE — every shard verified against its remote SHA-256 and byte size. See UPLOAD_COMPLETE.json.
This public research snapshot preserves the currently admitted XField/GRT simulation dataset: radar inputs, existing GT, available raw sensor products, provenance, and the frozen N141 train/validation split. It is not a claim that historical labels meet the newly repaired independent dense-GT pipeline.… See the full description on the dataset page: https://huggingface.co/datasets/KAS2003/xfield-radar-dataset-20260915.wearable-mmwave-radar-datasetradarRADAR-auxiliary-data
RADAR: Preprocessed Anatomical Masks for Merlin CT Data
This dataset provides preprocessed anatomical segmentation masks for the Merlin abdominal CT training set, generated by TotalSegmentator and post-processed for use with the RADAR framework. These masks enable anatomy-aware vision–language pretraining without any additional manual annotation.
Overview
RADAR is a generalist vision–language model trained on over 400,000 contrast-enhanced abdominal CT… See the full description on the dataset page: https://huggingface.co/datasets/radar-generalist/RADAR-auxiliary-data.turing-synthetic-radar-dataset
The Turing Synthetic Radar Dataset (TSRD)
Dataset Summary
The Turing Synthetic Radar Dataset is the first publicly available, comprehensively simulated pulse train dataset designed for radar pulse deinterleaving research. It provides a large-scale benchmark for developing and evaluating electronic warfare (EW) and signal intelligence (SIGINT) applications, enabling researchers to address the critical challenge of separating interleaved radar pulses from multiple… See the full description on the dataset page: https://huggingface.co/datasets/alan-turing-institute/turing-synthetic-radar-dataset.V2X-Radar
V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative Perception
Lei Yang
·
Xinyu Zhang
·
Jun Li
·
Chen Wang
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Jiaqi Ma
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Zhiying Song
·
Tong Zhao
·
Ziying Song
·
Li Wang
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Mo Zhou
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Yang Shen
·
Kai Wu
·
Chen Lv
This is the official implementation of "V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative… See the full description on the dataset page: https://huggingface.co/datasets/yanglei18/V2X-Radar.practice-radar-behavioral-health-npi-sample
New behavioral-health organization NPIs — weekly NPPES sample
A 15-row public sample from a weekly, reproducible selection of newly enumerated Type 2 behavioral-health organizations in the U.S. Centers for Medicare & Medicaid Services National Plan and Provider Enumeration System (NPPES).
Edition at a glance
Measured period: July 6–12, 2026
New Type 2 organizations screened: 2,722
Behavioral-health organizations selected: 486
States and territories represented:… See the full description on the dataset page: https://huggingface.co/datasets/unitedideas/practice-radar-behavioral-health-npi-sample.radarcr-rvs-radar-ecg-inventoryRADAR_datasetbenchmark-radar
Benchmark Radar Dataset
Overview
Benchmark Radar is a living registry, search engine, and discovery pipeline
for AI evaluation benchmarks. This dataset mirrors the full-corpus findings of the
Benchmark Radar technical report ("Benchmark Radar: Daily Discovery and
Full-Corpus Search Across the AI Evaluation Landscape", arXiv:2609.11115).
As described in the paper's Two Input Paths framework, Benchmark Radar
combines two complementary systems:… See the full description on the dataset page: https://huggingface.co/datasets/ktwu01/benchmark-radar.RadarEyes-VL
RadarEyes-VL
A vision–language caption layer on top of the RadarEyes mmWave-radar dataset, released with the paper Supervisor-Side Hallucination Suppression for Non-RGB Vision-Language Models (IEEE TMM, under review).
💻 Code: https://github.com/yijungoon/POC
🌐 Project page: https://yijungoon.github.io/POC/
📄 Paper: see the project page
⚠️ Preview release (one scene). Pending paper acceptance, this repository currently
hosts a single scene (2023_05_18_17_36_45_4f_401to409… See the full description on the dataset page: https://huggingface.co/datasets/yijun009/RadarEyes-VL.weather_france_radar_satellite_gs
This dataset is a ready-to-use fusion of multiple datasets for the France region, including:
Ground station data: Sourced from data.gouv.fr with a 1-hour resolution. It includes 7 weather KPIs: "RR1", "FF", "DD", "T", "U", "PMER", and "VV".
Radar imagery: Radar rainfall accumulation images from the Météo-France open data initiative.
Geospatial data: Land cover and ground height information from EarthEnv and OpenTopography.
Satellite imagery: Sourced from the EUMETSAT platform… See the full description on the dataset page: https://huggingface.co/datasets/meteolibre-dev/weather_france_radar_satellite_gs.radar-signal-sorting-sim
Synthetic Radar PDW Dataset
Public simulated pulse description word sequences for radar signal sorting.
Each NPZ sample contains pdw[T, 5] in TOA/RF/PW/PA/AOA order,
labels[T], and pdw_schema.
cr-rvs-radar-ecg-processed-v2
CR-RVS Radar-to-ECG — training corpus
Windowed, fold-assigned training corpus for CardioMamba-Net, derived from the CR-RVS dataset
(Schellenberger et al., Sci Data 7:291, 2020) via 01_verify_and_download and
02_preprocess_to_hf. Built 2026-09-02 13:11 UTC, run nb02_corpus_v2.
Contents
Path
What
recordings/<subject>__<scenario>.npy
Uncompressed (11, n) float32 at 128 Hz — 8 radar channels + 3 targets, row order in rows… See the full description on the dataset page: https://huggingface.co/datasets/Shanmuk4622/cr-rvs-radar-ecg-processed-v2.RADAR
RADAR: Benchmarking Language Models on Imperfect Tabular Data
Link: Paper | Code
The Robust And Data Aware Reasoning (RADAR) benchmark is designed to evaluate the ability of language models to demonstrate data-awareness—that is, to recognize, reason over, and appropriately handle complex data artifacts such as:
Missing data
Bad values
Outliers
Inconsistent formatting
Inconsistent multi-column logic
The full dataset includes 53 tasks grounded in real-world… See the full description on the dataset page: https://huggingface.co/datasets/kenqgu/RADAR.raw-adc-data-77ghz-mmwave-radar-automotive-object-detectioncr-rvs-radar-ecg-inventory-v2
CR-RVS Radar/ECG — Dataset Inventory & Quality Census
Machine-readable inventory of the clinically recorded radar vital-signs dataset of
Schellenberger et al. (Scientific Data 7:291, 2020), produced as stage 1 of the CardioMamba-Net
project on contactless ECG reconstruction from 24 GHz continuous-wave radar.
This repo contains metadata, statistics, previews and figures — not the full raw dataset.
For the raw recordings see figshare 10.6084/m9.figshare.12186516.
What… See the full description on the dataset page: https://huggingface.co/datasets/Shanmuk4622/cr-rvs-radar-ecg-inventory-v2.Rada_Trees
Rada_Trees
Overview
Rada_Trees is a comprehensive syntactically annotated corpus of Ukrainian parliament (Verkhovna Rada) transcripts spanning over three decades (1990–2024). This corpus contains approximately 88 million tokens, making it one of the most extensive annotated parliamentary corpora for the Ukrainian language. Paragraphs in Russian and those where Russian words predominate were removed using the CleanText tool.
Key features
Size: ~88 million… See the full description on the dataset page: https://huggingface.co/datasets/uacorpus/Rada_Trees.rnb-radarV0.1 version
DiEm_HTR
Dataset Card for DiEm HTR
The DiEm HTR dataset is a ground truth dataset for historical danish handwriting in the 17th and 18th century, generated as part of the Digitalisering af Enesteministerialbøger project at the Danish National Archives.
Dataset Details
Dataset Description
The Digitalisering af Enesteministerialbøger project (DiEm) at the Danish National Archives aims to transcribe and make publically available all of the danish parish registers from… See the full description on the dataset page: https://huggingface.co/datasets/RA-Data-Science/DiEm_HTR.fr-radar-rainfall
📡 5 Minutes Radar Rainfall over mainland France
Short name: fr-radar-rainfall
Source: Météo-France
License: Etalab 2.0 (Open License 2.0)
🗂️ Dataset Summary
This dataset provides high-resolution radar-based rainfall accumulation data over mainland France. Each file contains the rainfall accumulation (in hundredths of millimeters) over the past 5 minutes, with a spatial resolution of 1 km.
The data is derived from the radar precipitation mosaic produced by Météo-France.… See the full description on the dataset page: https://huggingface.co/datasets/meteofrance/fr-radar-rainfall.role-radar-dataset
Role Radar — Job-Profile Matching Dataset
Training data for a local-first job-candidate fit scoring model. English-language, India-focused.
Dataset Structure
Jobs (scraped_jobs.json)
2,500 real job postings from Indian cities with full descriptions.
Field
Description
id
Unique job ID
title
Job title
company
Company name
location
City / Remote
description
Full job description text
seniority_level
Entry/Associate/Mid-Senior/Director/Executive… See the full description on the dataset page: https://huggingface.co/datasets/oksomu/role-radar-dataset.humanoid-robot-radarscore
Roboterradar Humanoid & Quadruped Robot Dataset
Curated editorial assessments of 21 commercially relevant humanoid robots (16) and
quadruped robots (5), with a frozen scoring methodology, evidence grades and a complete
source register.
This Hugging Face repository is a versioned distribution mirror. The canonical,
citeable publication is the Zenodo release:
Version 1.0.0 DOI: https://doi.org/10.5281/zenodo.21797689
Concept DOI for all versions:… See the full description on the dataset page: https://huggingface.co/datasets/roboterradar/humanoid-robot-radarscore.RADAR_datarole-radar-dataset
Role Radar — Job-Profile Matching Dataset
Training data for a local-first job-candidate fit scoring model. English-language, India-focused.
Dataset Structure
Jobs (scraped_jobs.json)
2,500 real job postings from Indian cities with full descriptions.
Field
Description
id
Unique job ID
title
Job title
company
Company name
location
City / Remote
description
Full job description text
seniority_level… See the full description on the dataset page: https://huggingface.co/datasets/jimyones/role-radar-dataset.rnb-radar-v2.0
Radar and Depth Dataset
这是一个面向人体活动识别的多模态 Hugging Face Dataset 仓库，包含 depth 和 radar 两种模态。data/ 目录提供同一个 dataset 的四个 subset（不同 view）。
Parquet 文件只保存文件相对路径和从文件名解析出的 metadata，不保存原始 .npy 或 .mat 文件内容。
Subsets
Subset
文件
说明
depth_frames
data/depth_frames/depthdata_index.parquet
以单个 depth frame 为单位的索引视图
radar_frames
data/radar_frames/radardata_index.parquet
以单个 radar frame 为单位的索引视图
radar_depth_joined
data/radar_depth_joined/radar_depth_joined.parquet
以 radar… See the full description on the dataset page: https://huggingface.co/datasets/WayenVan/rnb-radar-v2.0.gradio_clicks_dataset
Dataset Card for Dataset Name
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data… See the full description on the dataset page: https://huggingface.co/datasets/radames/gradio_clicks_dataset.fr-radar-rainfall
📡 5 Minutes Radar Rainfall over mainland France
Short name: fr-radar-rainfall
Source: Météo-France
License: Etalab 2.0 (Open License 2.0)
🗂️ Dataset Summary
This dataset provides high-resolution radar-based rainfall accumulation data over mainland France. Each file contains the rainfall accumulation (in hundredths of millimeters) over the past 5 minutes, with a spatial resolution of 1 km.
The data is derived from the radar precipitation mosaic produced by… See the full description on the dataset page: https://huggingface.co/datasets/ray3389/fr-radar-rainfall.RADAR-auxiliary-data
RADAR: Preprocessed Anatomical Masks for Merlin CT Data
This dataset provides preprocessed anatomical segmentation masks for the Merlin abdominal CT training set, generated by TotalSegmentator and post-processed for use with the RADAR framework. These masks enable anatomy-aware vision–language pretraining without any additional manual annotation.
Overview
RADAR is a generalist vision–language model trained on over 400,000 contrast-enhanced abdominal CT… See the full description on the dataset page: https://huggingface.co/datasets/Alibaba-DAMO-Academy/RADAR-auxiliary-data.