SomeAI.org
  • Hot AI Tools
  • New AI Tools
  • AI Category
SomeAI.org
SomeAI.org

Discover 10,000+ free AI tools instantly. No login required.

About

  • Blog

© 2025 • SomeAI.org All rights reserved.

  • Privacy Policy
  • Terms of Service
Home
Dataset Creation
DatasetExplorer

DatasetExplorer

Explore and edit JSON datasets

You May Also Like

View All
🟧

MQM 3

Manage and label data for machine learning projects

0
⏰

SmolVLM2 IPhone Waitlist

sign in to receive news on the iPhone app

17
🟧

LabelStudio

Label data efficiently with ease

0
📈

Dataset Viewer

Browse and extract data from Hugging Face datasets

3
🦀

Viewer Embed

Display instructional dataset

0
🚀

gradio_huggingfacehub_search V0.0.7

Search for Hugging Face Hub models

15
⚗

Distilabel Synthetic Data Pipeline Finder

Find and view synthetic data pipelines on Hugging Face

12
🌖

SynthGenAI UI

Generate synthetic datasets for AI training

8
🔥

Datasette Thebloke

Browse TheBloke models' history

8
🔎

Semantic Hugging Face Hub Search

Search and find similar datasets

66
🟧

LabelStudio

Label data for machine learning models

0
🦀

Upload To Hub

Upload files to a Hugging Face repository

0

What is DatasetExplorer ?

DatasetExplorer is a powerful tool designed for exploring and editing JSON datasets. It provides an intuitive interface to manage, modify, and analyze dataset structures, making it an essential resource for data professionals and developers.

Features

  • Data Exploration: Easily browse and understand the structure of JSON datasets.
  • Data Editing: Modify dataset entries, add new data, or delete existing entries.
  • Validation: Ensure data integrity with JSON schema validation.
  • Filtering: Quickly find specific data by applying custom filters.
  • Visualization: Get a clear overview of dataset contents with visual representations.

How to use DatasetExplorer ?

  1. Import Your Dataset: Load a JSON file into DatasetExplorer.
  2. Explore the Data: Navigate through the dataset using the interactive interface.
  3. Edit Entries: Modify values, add new entries, or remove unnecessary data.
  4. Validate Changes: Use built-in validation to ensure data correctness.
  5. Filter Data: Apply filters to focus on specific parts of the dataset.
  6. Export the Dataset: Save the modified dataset for further use.

Frequently Asked Questions

What file formats does DatasetExplorer support?
DatasetExplorer primarily supports JSON files, but it can also handle other text-based dataset formats.

Can I edit data in real-time?
Yes, DatasetExplorer allows real-time editing of dataset entries, with immediate previews of changes.

How do I validate my dataset?
Use the built-in validation feature by loading a JSON schema or letting DatasetExplorer automatically detect and validate the structure.

Recommended Category

View All
⭐

Recommendation Systems

✍️

Text Generation

📹

Track objects in video

💻

Generate an application

🎵

Generate music for a video

🕺

Pose Estimation

🧑‍💻

Create a 3D avatar

👗

Try on virtual clothes

🗣️

Voice Cloning

🖼️

Image

✂️

Remove background from a picture

🔍

Detect objects in an image

🗂️

Dataset Creation

📏

Model Benchmarking

😂

Make a viral meme