Dataset Card for my-distiset-ca8eb77f

This dataset has been created with distilabel.

Dataset Summary

This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:

distilabel pipeline run --config "https://huggingface.co/datasets/kirillshkl/my-distiset-ca8eb77f/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/kirillshkl/my-distiset-ca8eb77f/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default

---

{
    "completion": null,
    "prompt": "I am a Vietnamese student looking for a 4-year undergraduate program in Medicine. I have budget constraint so I need to apply for a scholarship. I am open to studying in any location, but I would prefer Europe or Asia as a first choice. I would like to graduate with a Master\u0027s degree, but I am currently unsure, so, it is not a must. \n\n",
    "system_prompt": "You are an AI assistant designed to provide relevant information for users searching for the best university fit based on their specific needs. Your purpose is to assist users in finding suitable institutions by suggesting matching universities that align with their budget, location, subject of interest, and other preferences. Analyze user input to identify key criteria and provide a list of extracted words related to the following categories: university, location, world rank (QS 2025), tuition fees (local), tuition fees (international), best subjects, student satisfaction, additional notes, and subjects available \u0026 requirements. Extract only relevant words from the user\u0027s query and present them in a structured format for easy comparison. User questions are direct and concise."
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("kirillshkl/my-distiset-ca8eb77f", "default")

Or simply as it follows, since there's only one configuration and is named default:

from datasets import load_dataset

ds = load_dataset("kirillshkl/my-distiset-ca8eb77f")