Dataset Card for uplimit-synthetic-data-week-2-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/djackson-proofpoint/uplimit-synthetic-data-week-2-basic/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/djackson-proofpoint/uplimit-synthetic-data-week-2-basic/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default

---

{
    "chosen": "Subject: Following Up - [Your Name] - [Job Title]\n\nDear [Interviewer Name],\n\nThank you very much for taking the time to speak with me yesterday about the [Job Title] position at [Company Name]. I truly appreciated learning more about the role and the team, and I was particularly drawn to [mention something specific discussed during the interview that resonated with you]. Our conversation reinforced my enthusiasm for the opportunity to join such a talented and driven group.\n\nI was impressed by the company\u0027s vision to [mention company goal or project] and the significant impact it could have on [industry/market]. With my skills and experience",
    "distilabel_metadata": {
        "raw_input_text_generation_2": [
            {
                "content": "Subject: Following Up - [Your Name] - [Job Title]\n\nDear [Interviewer Name],\n\nThank you very much for taking the time to speak with me yesterday about the [Job Title] position at [Company Name]. I enjoyed learning more about the role and the team, and I was especially interested in [mention something specific discussed during the interview that resonated with you].\n\nThe opportunity to contribute to [mention company goal or project] is very exciting to me, and I am confident that my skills and experience in [mention 1-2 relevant skills] would be a valuable asset to your team.\n\nI am very",
                "role": "user"
            }
        ],
        "raw_output_text_generation_2": "Subject: Following Up - [Your Name] - [Job Title]\n\nDear [Interviewer Name],\n\nThank you very much for taking the time to speak with me yesterday about the [Job Title] position at [Company Name]. I truly appreciated learning more about the role and the team, and I was particularly drawn to [mention something specific discussed during the interview that resonated with you]. Our conversation reinforced my enthusiasm for the opportunity to join such a talented and driven group.\n\nI was impressed by the company\u0027s vision to [mention company goal or project] and the significant impact it could have on [industry/market]. With my skills and experience",
        "statistics_text_generation_2": {
            "input_tokens": 160,
            "output_tokens": 128
        }
    },
    "instruction": "Subject: Following Up - [Your Name] - [Job Title]\n\nDear [Interviewer Name],\n\nThank you very much for taking the time to speak with me yesterday about the [Job Title] position at [Company Name]. I enjoyed learning more about the role and the team, and I was especially interested in [mention something specific discussed during the interview that resonated with you].\n\nThe opportunity to contribute to [mention company goal or project] is very exciting to me, and I am confident that my skills and experience in [mention 1-2 relevant skills] would be a valuable asset to your team.\n\nI am very",
    "model_name": "https://api-inference.huggingface.co/models/meta-llama/Llama-3.1-8B-Instruct",
    "rejected": "Subject: Following Up - [Your Name] - [Job Title]\n\nDear [Interviewer Name],\n\nThank you very much for taking the time to speak with me yesterday about the [Job Title] position at [Company Name]. I enjoyed learning more about the role and the team, and I was especially interested in the company\u0027s commitment to [mention something specific discussed during the interview that resonated with you, e.g. innovation, collaboration, or sustainability].\n\nThe opportunity to contribute to [mention company goal or project, e.g. driving business growth, developing new products, or improving customer experience] is very exciting to me, and I am"
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("djackson-proofpoint/uplimit-synthetic-data-week-2-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("djackson-proofpoint/uplimit-synthetic-data-week-2-basic")