🚀
Space

Visualize Dataset (v2.0+ latest dataset format)

by lerobot hf-space--lerobot--visualize_dataset
Nexus Index
24.0 Top 2%
S / A / P / R / Q Breakdown Calibration Pending

Pillar scores are computed during the next indexing cycle.

Tech Context
Vital Performance
0 DL / 30D
0.0%

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference Readme change

docker SDK
CPU Hardware
Running Status
Active 345 Activity
Space Information Summary
Entity Passport
Registry ID hf-space--lerobot--visualize_dataset
Provider huggingface
📜

Cite this space

Academic & Research Attribution

BibTeX
@misc{hf_space__lerobot__visualize_dataset,
  author = {lerobot},
  title = {Visualize Dataset (v2.0+ latest dataset format) Space},
  year = {2026},
  howpublished = {\url{https://huggingface.co/spaces/lerobot/visualize_dataset}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
lerobot. (2026). Visualize Dataset (v2.0+ latest dataset format) [Space]. Free2AITools. https://huggingface.co/spaces/lerobot/visualize_dataset

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

âš–ī¸ Nexus Index V2.0

24.0
ESTIMATED IMPACT TIER
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 0
Quality (Q) 0

đŸ’Ŧ Index Insight

FNI V2.0 for Visualize Dataset (v2.0+ latest dataset format): Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:0), Quality (Q:0).

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live

Environment Profile


title: Visualize Dataset (v2.0+ latest dataset format)
emoji: đŸ’ģ
colorFrom: blue
colorTo: green
sdk: docker
app_port: 7860
pinned: false
license: apache-2.0

LeRobot Dataset Visualizer

LeRobot Dataset Visualizer is a web application for interactive exploration and visualization of robotics datasets, particularly those in the LeRobot format. It enables users to browse, view, and analyze episodes from large-scale robotics datasets, combining synchronized video playback with rich, interactive data graphs.

Project Overview

This tool is designed to help robotics researchers and practitioners quickly inspect and understand large, complex datasets. It fetches dataset metadata and episode data (including video and sensor/telemetry data), and provides a unified interface for:

  • Navigating between organizations, datasets, and episodes
  • Watching episode videos
  • Exploring synchronized time-series data with interactive charts
  • Paginating through large datasets efficiently

Key Features

  • Dataset & Episode Navigation: Quickly jump between organizations, datasets, and episodes using a sidebar and navigation controls.
  • Synchronized Video & Data: Video playback is synchronized with interactive data graphs for detailed inspection of sensor and control signals.
  • Efficient Data Loading: Uses parquet and JSON loading for large dataset support, with pagination and chunking.
  • Responsive UI: Built with React, Next.js, and Tailwind CSS for a fast, modern user experience.

Technologies Used

  • Next.js (App Router)
  • React
  • Recharts (for data visualization)
  • hyparquet (for reading Parquet files)
  • Tailwind CSS (styling)

Getting Started

Prerequisites

This project uses Bun as its package manager. If you don't have it installed:

# Install Bun
curl -fsSL https://bun.sh/install | bash

Installation

Install dependencies:

bun install

Development

Run the development server:

bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying src/app/page.tsx or other files in the src/ directory. The app supports hot-reloading for rapid development.

Other Commands

# Build for production
bun run build

Start production server

bun start

Run linter

bun run lint

Format code

bun run format

Environment Variables

  • DATASET_URL: (optional) Base URL for dataset hosting (defaults to HuggingFace Datasets).

Docker Deployment

This application can be deployed using Docker with bun for optimal performance and self-contained builds.

Build the Docker image

docker build -t lerobot-visualizer .

Run the container

docker run -p 7860:7860 lerobot-visualizer

The application will be available at http://localhost:7860.

Run with custom environment variables

docker run -p 7860:7860 -e DATASET_URL=your-url lerobot-visualizer

Contributing

Contributions, bug reports, and feature requests are welcome! Please open an issue or submit a pull request.

Acknowledgement

The app was orignally created by @Mishig25 and taken from this PR #1055

Top Tier

Social Proof

HuggingFace Hub
345Likes
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseâ„šī¸ Verify with original source

đŸ›Ąī¸ Space Transparency Report

Verified data manifest for traceability and transparency.

100% Data Disclosure Active

🆔 Identity & Source

id
hf-space--lerobot--visualize_dataset
source
huggingface
author
lerobot
tags
dockerregion:us

âš™ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
docker

📊 Engagement & Metrics

likes
345
downloads
0

Free2AITools Constitutional Data Pipeline: Curated disclosure mode active. (V15.x Standard)