Dataset Card for uplimit-synthetic-data-week-1-basic

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/marotosg/uplimit-synthetic-data-week-1-basic/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/marotosg/uplimit-synthetic-data-week-1-basic/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default

---

{
    "distilabel_metadata": {
        "raw_input_text_generation_1": [
            {
                "content": "Here\u0027s a short job description for a C-level position in the tech industry:\n\n**Job Title:** Vice President of Innovation Technology\n\n**Company:** NovaSpire Technologies\n\n**Location:** San Francisco, CA\n\n**Job Type:** Full-time\n\n**About Us:**\n\nNovaSpire Technologies is a leading provider of cloud-based cybersecurity solutions, innovating at the intersection of AI, blockchain, and the Internet of Things (IoT). We\u0027re seeking an exceptional leader to drive our innovation technology strategy, fostering a culture of creativity, experimentation, and collaboration.\n\n**Job Summary:**\n\nWe\u0027re looking for a highly accomplished and visionary leader to join",
                "role": "user"
            }
        ],
        "raw_output_text_generation_1": "Here\u0027s an expanded job description for a Vice President of Innovation Technology position at NovaSpire Technologies:\n\n**Job Title:** Vice President of Innovation Technology\n\n**Company:** NovaSpire Technologies\n\n**Location:** San Francisco, CA\n\n**Job Type:** Full-time\n\n**About Us:**\n\nNovaSpire Technologies is a leading provider of cloud-based cybersecurity solutions, at the forefront of innovation in AI, blockchain, and IoT. We\u0027re seeking a highly accomplished and visionary leader to drive our innovation technology strategy, fostering a culture of creativity, experimentation, and collaboration.\n\n**Job Summary:**\n\nWe\u0027re looking for a talented and seasoned executive to join",
        "statistics_text_generation_1": {
            "input_tokens": 163,
            "output_tokens": 128
        }
    },
    "instruction": "Here\u0027s a short job description for a C-level position in the tech industry:\n\n**Job Title:** Vice President of Innovation Technology\n\n**Company:** NovaSpire Technologies\n\n**Location:** San Francisco, CA\n\n**Job Type:** Full-time\n\n**About Us:**\n\nNovaSpire Technologies is a leading provider of cloud-based cybersecurity solutions, innovating at the intersection of AI, blockchain, and the Internet of Things (IoT). We\u0027re seeking an exceptional leader to drive our innovation technology strategy, fostering a culture of creativity, experimentation, and collaboration.\n\n**Job Summary:**\n\nWe\u0027re looking for a highly accomplished and visionary leader to join",
    "model_name": "https://api-inference.huggingface.co/models/meta-llama/Llama-3.2-3B-Instruct",
    "response": "Here\u0027s an expanded job description for a Vice President of Innovation Technology position at NovaSpire Technologies:\n\n**Job Title:** Vice President of Innovation Technology\n\n**Company:** NovaSpire Technologies\n\n**Location:** San Francisco, CA\n\n**Job Type:** Full-time\n\n**About Us:**\n\nNovaSpire Technologies is a leading provider of cloud-based cybersecurity solutions, at the forefront of innovation in AI, blockchain, and IoT. We\u0027re seeking a highly accomplished and visionary leader to drive our innovation technology strategy, fostering a culture of creativity, experimentation, and collaboration.\n\n**Job Summary:**\n\nWe\u0027re looking for a talented and seasoned executive to join"
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("marotosg/uplimit-synthetic-data-week-1-basic", "default")

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

from datasets import load_dataset

ds = load_dataset("marotosg/uplimit-synthetic-data-week-1-basic")