Dataset Card for tinyllamamodel

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/aycankatitas/tinyllamamodel/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/aycankatitas/tinyllamamodel/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default

---

{
    "generation": " Overall, our goal is to provide insights that help organizations better understand and leverage the potential benefits of incorporating technology into their knowledge management strategies.",
    "prompt": "In this research, we aim to investigate how technology can moderate the correlation between knowledge management practices and the overall performance of an organization. This analysis will focus on specific technological tools and their impact on knowledge management in relation to various aspects of organizational performance. Additionally, we will explore how this relationship may vary across different industries and organizational structures."
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("aycankatitas/tinyllamamodel", "default")

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

from datasets import load_dataset

ds = load_dataset("aycankatitas/tinyllamamodel")