Universal Data Tool
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Universal Data Tool
Universal Data Tool Docs
Installation
Running On-Premise
Collaborative Labeling
Building and Labeling Datasets
Image Segmentation
Image Classification
Text Classification
Named Entity Recognition
Entity Relations / Part of Speech Tagging
Audio Transcription
Data Entry
Video Segmentation
Composite Interfaces
Landmark / Pose Annotation
Importing Data
Upload or Open Directories
Import File URLs
Import COCO Images
Import from Google Drive
Import from AWS S3 Bucket
Import from CSV or JSON
Import using AWS Cognito
Import Text Snippets
The Format .udt.json
What is the .udt.json format?
What is the .udt.csv format?
Machine Learning
Jupyter Notebook Integration
Import Datasets into Pandas
Fast.ai
Integrate with Any Web Page
Integrate with the Javascript Library
Getting Started with React
Train your Workforce
Getting Started with UDT Courses
Frequently Asked Questions
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Import Datasets into Pandas
Pandas gives you a nice way to view, filter and convert UDT datasets.

You can export any UDT dataset into a CSV file using the download button at the top of the page.
Download CSV from the Universal Data Tool

We can begin by importing the pandas, and our udt.csv file.
import pandas as pd
​
url_or_filepath_to_csv = "https://raw.githubusercontent.com/UniversalDataTool/udt-dataset-cats-and-dogs/master/coco_dogs_and_cats.udt.csv"
udt_csv = pd.read_csv(url_or_filepath_to_csv)
You can use the udt.json format too, tables are just a nice way to visualize the data!
If you view the udt_csv object, you should now see a breakdown of your CSV, ready to be imported!
coco_dogs_and_cats.udt.csv

UDT Datasets just have links to images, so we'll need to download the actual images. Check out the fast.ai Image classification tutorial, where we show how to easily download images using the fast.ai download_images function.
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Exporting UDT Dataset as CSV
Import CSV Into Pandas Dataframe
Downloading Images