Ultralytics HUB-SDK를 사용한 데이터 세트 관리 작업

from hub_sdk import HUBClient

credentials = {"api_key": "<YOUR-API-KEY>"}
client = HUBClient(credentials)

# Fetch a dataset by ID
dataset = client.dataset('<Dataset ID>')  # Replace with your actual Dataset ID
print(dataset.data)  # This prints the dataset information

from hub_sdk import HUBClient

credentials = {"api_key": "<YOUR-API-KEY>"}
client = HUBClient(credentials)

# Define your dataset properties
data = {"meta": {"name": "My Dataset"}}  # Replace 'My Dataset' with your desired dataset name

# Create the dataset
dataset = client.dataset()
dataset.create_dataset(data)
print("Dataset created successfully!")

from hub_sdk import HUBClient

credentials = {"api_key": "<YOUR-API-KEY>"}
client = HUBClient(credentials)

# Obtain the dataset
dataset = client.dataset("<Dataset ID>")  # Insert the correct Dataset ID

# Update the dataset's metadata
dataset.update({"meta": {"name": "Updated Name"}})  # Modify 'Updated Name' as required
print("Dataset updated with new information.")

from hub_sdk import HUBClient

credentials = {"api_key": "<YOUR-API-KEY>"}
client = HUBClient(credentials)

# Select the dataset by its ID
dataset = client.dataset('<Dataset ID>')  # Ensure the Dataset ID is specified

# Delete the dataset
dataset.delete()
print("Dataset has been deleted.")

from hub_sdk import HUBClient

credentials = {"api_key": "<YOUR-API-KEY>"}
client = HUBClient(credentials)

# Retrieve the first page of datasets
dataset = client.dataset_list(page_size=10)
print("Current dataset:", dataset.results)  # Show the datasets on the current page

# Move to the next page and show results
dataset.next()
print("Next page result:", dataset.results)

# Go back to the previous page
dataset.previous()
print("Previous page result:", dataset.results)

from hub_sdk import HUBClient

credentials = {"api_key": "<YOUR-API-KEY>"}
client = HUBClient(credentials)

# Define the dataset ID for which you want a download link 
dataset = client.dataset("<Dataset ID>")    # Don't forget to replace Dataset ID with the actual dataset ID

# Retrieve the URL for downloading dataset contents
url = dataset.get_download_link()
print("Download URL:", url)

from hub_sdk import HUBClient

credentials = {"api_key": "<YOUR-API-KEY>"}
client = HUBClient(credentials)

# Select the dataset
dataset = client.dataset("<Dataset ID>")    # Substitute with the real dataset ID

# Upload the dataset file
dataset.upload_dataset(file="<Dataset File>")  # Make sure to specify the correct file path
print("Dataset has been uploaded.")