LLM Dataset Processor
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See alternative ActorsLLM Dataset Processor
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Allows you to process whole dataset with single LLM prompt. It's useful if you need to enrich data, summarize content, extract specific information, or manipulate data in a structured way using AI.
You can access the LLM Dataset Processor programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "prompt": "Summarize this text: {{text}}" }
9
10# Run the Actor and wait for it to finish
11run = client.actor("dusan.vystrcil/llm-dataset-processor").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16 print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startLLM Dataset Processor API in Python
The Apify API client for Python is the official library that allows you to use LLM Dataset Processor API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Dušan VystrčilActor Metrics
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Created in Dec 2024
Modified 2 days ago
