datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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/radar-generalist/RADAR-auxiliary-data.real-generalistRubrics-generalist-judgments_gptmini-97.5-0.7-0.1-Qwen3-4B-64-2048-0.6Dataset for judgments_gptmini with Qwen3-4B on Rubrics-generalist with 2048 tokens and 0.6 temperature and 97.5 percentile and 0.7 absolute rubric satisfaction threshold and 0.1 minimum satisfaction delta
xlerobot_generalist_v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"observation.state": {
"dtype": "float32",
"shape": [
18
],
"names": [
"left_arm_shoulder_pan.pos",
"left_arm_shoulder_lift.pos",
"left_arm_elbow_flex.pos",
"left_arm_wrist_flex.pos"… See the full description on the dataset page: https://huggingface.co/datasets/Odog16/xlerobot_generalist_v2.teach-generalist-v1
Canis.teach Generalist Dataset
Simple synthetic dataset for training Generalist tutoring models.
Project: Canis.teach - Learning that fits.
Subject: Generalist
Generated with: Canis.lab
Format: Simple ID:content pairs
Dataset Structure
{
"id": "unique_identifier",
"content": "tutoring conversation text"
}
This dataset contains educational conversations focused on Generalist topics, designed to teach effective tutoring behavior rather than just providing direct… See the full description on the dataset page: https://huggingface.co/datasets/CanisAI/teach-generalist-v1.Rubrics-generalist-judgments_gptmini-99-0.5-0.1-Qwen3-4B-64-2048-0.6Dataset for judgments_gptmini with Qwen3-4B on Rubrics-generalist with 2048 tokens and 0.6 temperature and 99 percentile and 0.5 absolute rubric satisfaction threshold and 0.1 minimum satisfaction delta
Rubrics-generalist-judgments_gptmini-97.5-0.5-0.1-Qwen3-4B-64-2048-0.6Dataset for judgments_gptmini with Qwen3-4B on Rubrics-generalist with 2048 tokens and 0.6 temperature and 97.5 percentile and 0.5 absolute rubric satisfaction threshold and 0.1 minimum satisfaction delta
Rubrics-generalist-judgments_gptmini-99-0.7-0.1-Qwen3-4B-64-2048-0.6Dataset for judgments_gptmini with Qwen3-4B on Rubrics-generalist with 2048 tokens and 0.6 temperature and 99 percentile and 0.7 absolute rubric satisfaction threshold and 0.1 minimum satisfaction delta
Rubrics-generalist-judgments_gptmini-97.5-0.6-0.1-Qwen3-4B-64-2048-0.6Dataset for judgments_gptmini with Qwen3-4B on Rubrics-generalist with 2048 tokens and 0.6 temperature and 97.5 percentile and 0.6 absolute rubric satisfaction threshold and 0.1 minimum satisfaction delta
africa-who-generalist-medical-practitioners
Africa — WHO GHO: Generalist medical practitioners (number) | Africa (World Health Organization)
Size category: n<1K - Formats: parquet - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Health datasets… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-who-generalist-medical-practitioners.Rubrics-generalist-judgments_gptmini-97.5-0.5-0.1-Qwen3-4B-64-Rubrics-generalist-2048-0.6Dataset for judgments_gptmini with Qwen3-4B on Rubrics-generalist with 2048 tokens and 0.6 temperature and 97.5 percentile and 0.5 absolute rubric satisfaction threshold and 0.1 minimum satisfaction delta
eval_101_sc1234var_exp13_generalist_grasp_the_red_box_20260520-111213This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 1,
"total_frames": 2332,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:1"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/kunhsiang/eval_101_sc1234var_exp13_generalist_grasp_the_red_box_20260520-111213.r1-0528-generalisteval_101_sc1234var_exp13_generalist_grasp_the_blue_box_20260520-111609This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 0,
"total_frames": 0,
"total_tasks": 0,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/kunhsiang/eval_101_sc1234var_exp13_generalist_grasp_the_blue_box_20260520-111609.eval_101_sc1234var_exp13_generalist_grasp_the_blue_box_20260520-111711This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 0,
"total_frames": 0,
"total_tasks": 0,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/kunhsiang/eval_101_sc1234var_exp13_generalist_grasp_the_blue_box_20260520-111711.aggregate_mask_generalist_usefulnessgeneralist-gptmini-97.5-0.5-0.1-Qwen3-4B-64eval_101_sc1234var_exp13_generalist_grasp_the_green_box_20260520-111619This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 0,
"total_frames": 0,
"total_tasks": 0,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/kunhsiang/eval_101_sc1234var_exp13_generalist_grasp_the_green_box_20260520-111619.asia-who-generalist-medical-practitioners
Generalist medical practitioners (number) | Asia (WHO GHO)
🌏 434 observations · 31 Asia countries · 1980–2024 · Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 434 observations of Generalist medical practitioners (number) data across 31 Asia countries, spanning 1980–2024, covering 1 distinct indicators.
About the source
Source: WHO Global Health Observatory
Publisher: World Health Organization
License: cc-by-4.0
Topic:… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-who-generalist-medical-practitioners.Rubrics-generalist-judgments_gptmini-99-0.6-0.1-Qwen3-4B-64-2048-0.6Dataset for judgments_gptmini with Qwen3-4B on Rubrics-generalist with 2048 tokens and 0.6 temperature and 99 percentile and 0.6 absolute rubric satisfaction threshold and 0.1 minimum satisfaction delta
generalistRubrics-generalist-judgments_gptmini-97.5-0.6-0.1-Qwen3-4B-64-Rubrics-generalist-2048-0.6acces-aux-soins-installations-de-medecins-generalistes-dans-les-zones-sous-dotees-par-territoire
Accès aux soins : installations de médecins généralistes dans les zones sous-dotées par territoire (département, région) - ANNÉE EN COURS
[!NOTE]
Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données Accès aux soins : installations de médecins généralistes dans les zones sous-dotées par territoire (département, région) - ANNÉE EN COURS qui est disponible à l'adresse https://www.data.gouv.fr/datasets/68d67b7b889815892c9c8861… See the full description on the dataset page: https://huggingface.co/datasets/french-open-data/acces-aux-soins-installations-de-medecins-generalistes-dans-les-zones-sous-dotees-par-territoire.europe-who-generalist-medical-practitioners
Generalist medical practitioners (number) | Europe (WHO GHO)
🇪🇺 983 observations · 41 Europe countries · 1980–2024 · Repackaged by Electric Sheep Europe
TL;DR
This dataset contains 983 observations of Generalist medical practitioners (number) data across 41 Europe countries, spanning 1980–2024, covering 1 distinct indicators.
About the source
Source: WHO Global Health Observatory
Publisher: World Health Organization
License: cc-by-4.0
Topic:… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-who-generalist-medical-practitioners.generalist-training-dataacces-aux-soins-patientele-medecin-traitant-moyenne-des-medecins-generalistes-par-territoire-dep
Accès aux soins : patientèle "médecin traitant" moyenne des médecins généralistes par territoire (département, région) - PAR ANNÉE
[!NOTE]
Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données Accès aux soins : patientèle "médecin traitant" moyenne des médecins généralistes par territoire (département, région) - PAR ANNÉE qui est disponible à l'adresse https://www.data.gouv.fr/datasets/68d67b79889815892c9c885d
Description… See the full description on the dataset page: https://huggingface.co/datasets/french-open-data/acces-aux-soins-patientele-medecin-traitant-moyenne-des-medecins-generalistes-par-territoire-dep.generalist-lewm