datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mini-reachy-animation
Reachy Mini Animation Dataset
Multi-view renders of 85 emotional animations performed by the Reachy Mini
robot, paired with the full robot joint state for every single frame.
Source of the animations. The emotional animations rendered here come from the
official pollen-robotics/reachy-mini-emotions-library
dataset by Pollen Robotics. This dataset re-renders those emotions from 12 camera
angles (with 3 background variants) and pairs every frame with the robot's joint state.… See the full description on the dataset page: https://huggingface.co/datasets/BastienATOS/mini-reachy-animation.gelsight-mini-pretrain
GelSight Mini Pretrain
~853K GelSight Mini tactile RGB frames, 12 public sources, one parquet schema. Built for self-supervised representation learning (VAE / MAE / SimCLR / DINO) — every frame contact-filtered, channel-normalized, and re-encoded as JPEG q92.
Frames
Sources
Real
536K
FoTA (labeled+unlabeled), 3DCal, FEATS, GelSLAM, TactileTracking, RTM, FeelAnyForce, UniT, TacQuad
Sim
317K
sim_tactile_mnist, sim_starstruck (Taxim-rendered, Mini-calibrated)
NC… See the full description on the dataset page: https://huggingface.co/datasets/yxma/gelsight-mini-pretrain.gelsight-mini-pretrain-nc
GelSight Mini Pretrain · Non-Commercial Extension
⚠️ Non-commercial use only. This repository is licensed
CC-BY-NC-4.0 because it includes upstream sources whose licenses
restrict commercial use. For commercial-friendly Mini tactile data,
see the main yxma/gelsight-mini-pretrain repo
(CC-BY-4.0).
This dataset is the CC-BY-NC extension of yxma/gelsight-mini-pretrain.
It contains only the GelSight Mini sources whose upstream licenses are
not compatible with CC-BY-4.0 aggregation.… See the full description on the dataset page: https://huggingface.co/datasets/yxma/gelsight-mini-pretrain-nc.rvl_cdip_mini
Dataset Card for RVL-CDIP-MINI
This dataset is a subset (1%) of the original aharley/rvl_cdip merged with the corresponding annotations from jordyvl/rvl_cdip_easyocr.
You can easily and quickly load it:
dataset = load_dataset("dvgodoy/rvl_cdip_mini")
DatasetDict({
train: Dataset({
features: ['image', 'width', 'height', 'category', 'ocr_words', 'word_boxes', 'ocr_paragraphs', 'paragraph_boxes', 'label'],
num_rows: 3200
})
validation: Dataset({… See the full description on the dataset page: https://huggingface.co/datasets/dvgodoy/rvl_cdip_mini.gelsight-mini-pretrain-video
GelSight Mini Pretrain · Video / Sequence Subset
🎬 Companion to yxma/gelsight-mini-pretrain.
Where the main repo treats every kept frame as an independent image, this repo
preserves temporal sequences — one row per frame, ordered, with explicit
sequence-id + position metadata, for video tactile pretraining.
Why this repo
The main repo's pipeline applies perceptual-hash dedupe within each capture
to drop near-identical adjacent frames. That's great for image-level… See the full description on the dataset page: https://huggingface.co/datasets/yxma/gelsight-mini-pretrain-video.ring-drop-mini
Ring Drop Mini
A small binary image set for classifying blue ring drop vs green ring drop frames. Images live in media_blob; class ids live in bucket.
minicar-dataset
🏎️ MiniCar Autonomous Driving Dataset
自動運転ミニカー用のトレーニングデータセット
概要
このデータセットには以下が含まれます：
カメラ画像
センサーデータ（IMU等）
アノテーション（ステアリング角度、スロットル）
データ構造
minicar-dataset/
├── train/
│ ├── images/ # カメラ画像 (JPG/PNG)
│ ├── sensors/ # センサーデータ (CSV)
│ └── annotations.csv # ラベルデータ
├── test/
│ └── ...
└── README.md
使い方
from datasets import load_dataset
dataset = load_dataset("Romihi50/minicar-dataset")
# トレーニングデータ
for sample in… See the full description on the dataset page: https://huggingface.co/datasets/Romihi50/minicar-dataset.