datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
plate_effects
Multi-Source Domain Adaptation for Bioimaging Data (MSCDA-BioIm)
MSCDA-BioIm is a biomedical microscopy benchmark for evaluating test-time and in-context domain adaptation under realistic batch effects. Built from the large-scale JUMP-CP dataset, it targets mechanism-of-action (MoA) classification using five-channel images of compounds associated with eight well-defined MoA classes. The dataset is organized by experimental batches and imaging… See the full description on the dataset page: https://huggingface.co/datasets/anasanchezf/plate_effects.red-eye-effectSynset-Background-Effect-Datasets
Synset Background Effect Datasets
For investigating the effect of background on feature importance and classification performance, we systematically generated six synthetic datasets for the
task of traffic sign recognition, which differ only in their degree of camera variation and background correlation. Each of these datasets contains 82 classes
of traffic signs with 1,100 images per class, resulting in 90,200 images per dataset, summing up to a total of 541,200 images.… See the full description on the dataset page: https://huggingface.co/datasets/FraunhoferIOSB/Synset-Background-Effect-Datasets.rollouts-vla0-500ep-naive-ghost-traceThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 60,
"total_frames": 100182,
"total_tasks": 12,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:60"
},
"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/end-effector-trace-conditioning/rollouts-vla0-500ep-naive-ghost-trace.rollouts-vla0-500ep-naive-5frameThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 60,
"total_frames": 102010,
"total_tasks": 12,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:60"
},
"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/end-effector-trace-conditioning/rollouts-vla0-500ep-naive-5frame.500ep-naive-context-datasetlight-effect-datasetThis dataset contains light-effect images and paired English captions.
Contents
train: prepared split with embedded image-caption pairs
Usage
You can load this dataset using the Hugging Face Datasets library:
from datasets import load_dataset
dataset = load_dataset("theavenger/light-effect-dataset", split="train")
thinking_nyu_door_opening_surprising_effectiveness_lerobot_output_qwen3vlred-eye-effectliste-des-responsables-publics-ayant-effectue-des-declarations-de-situation-patrimoniale-et-dint
Liste des responsables publics ayant effectué des déclarations de situation patrimoniale et d’intérêts
Source
Source officielle : https://www.data.gouv.fr/datasets/liste-des-responsables-publics-ayant-effectue-des-declarations-de-situation-patrimoniale-et-dinterets
Identifiant du jeu de données data.gouv.fr : 53ae8c38a3a729709f56d510
Slug data.gouv.fr : liste-des-responsables-publics-ayant-effectue-des-declarations-de-situation-patrimoniale-et-dinterets
Licence… See the full description on the dataset page: https://huggingface.co/datasets/Data-Gouv-ML/liste-des-responsables-publics-ayant-effectue-des-declarations-de-situation-patrimoniale-et-dint.Sleeping-Eleven-EffectsEffectivePerceptionSurvey