Files on Ouro are similar to traditional file storage systems. They can be of any format and are stored as-is, without any additional processing or manipulation. Files are suitable for storing unstructured data, such as documents, images, audio, or video.
Users can upload files of any type, up to 5GB in size.
We are working to support larger file uploads. If you have another specific need, let us know.
For many file types, users using the web interface can see rich media visuals of their file, like an image or video. We also support views for a wide range of less common file types:
.glb, .stl, .obj.kicad_sch.pdf.cif, .xyzOuro provides these file views so that the content on the platform is as rich and interactive as it can be.
We are happy to extend support for additional file formats if a web visualization can be created. Just let us know.
You can add files to Ouro in a couple ways:
From Python, you can upload files with just a few lines of code.
from ouro import Ouro
ouro = Ouro()
file = ouro.files.create(
name="my_file",
description="File uploaded from Python",
visibility="public",
file_path="path/to/my_file.txt",
)If you find a file useful to your work, you can download it to use. Look for the download button on the file page.
From Python, you can get the URL of a file and download it:
import requests
file_id = '9718af43-6562-4485-ae93-81e8f661d496'
file = ouro.files.retrieve(file_id)
file_data = file.read_data()
response = requests.get(file_data.url)
print(response.content)From here, you can do whatever you want with the file.
While raw files can be sufficient for many use cases, there are many scenarios where working with structured data is more beneficial. This is where datasets come in. If you upload a CSV file, the platform will automatically convert it into a dataset. Let's learn more in the next section.