Dataset Card for my-smol-ds

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/Binaryy/my-smol-ds/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/Binaryy/my-smol-ds/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default

---

{
    "context": "ANSI/IICRC S520 Standard for Professional Mold Remediation\n\nThird Edition Published December 2015\n\nInstitute of Inspection, Cleaning and Restoration Certification 4043 South Eastern Avenue Las Vegas, NV, 89119 USA (775) 553 5458 \u2022 www.iicrc.org\n\nCopyright \u00a9 2015, 2008, 2003 by the Institute of Inspection, Cleaning and Restoration Certification (IICRC). All rights reserved. No part of this publication may be used or reproduced in any manner whatsoever without written permission from the IICRC.",
    "negative_retrieval": "Institute of Inspection, Cleaning and Restoration Certification 4043 South Eastern Avenue Las Vegas, NV, 89119 USA recently published their third edition of a comprehensive standard for cleaning and restoration services in the industry.",
    "positive_retrieval": "What is the third edition of the ANSI/IICRC S520 Standard for Professional Mold Remediation published in?",
    "question": "What is the third edition of the ANSI/IICRC S520 Standard for Professional Mold Remediation published in?",
    "response": "December 2015."
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("Binaryy/my-smol-ds", "default")

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

from datasets import load_dataset

ds = load_dataset("Binaryy/my-smol-ds")