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Built with Distilabel

Dataset Card for my-distiset

This dataset has been created with distilabel.

The pipeline script was uploaded to easily reproduce the dataset: app.py.

It can be run directly using the CLI:

distilabel pipeline run --script "https://huggingface.co/datasets/JeCabrera/my-distiset/raw/main/app.py"

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/JeCabrera/my-distiset/raw/main/pipeline.yaml"

or explore the configuration:

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

Dataset structure

The examples have the following structure per configuration:

Configuration: default
{
    "completion": null,
    "generation": null,
    "model_name": null,
    "prompt": null
}

This subset can be loaded as:

from datasets import load_dataset

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

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

from datasets import load_dataset

ds = load_dataset("JeCabrera/my-distiset")

References

@misc{xu2024magpiealignmentdatasynthesis,
    title={Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing},
    author={Zhangchen Xu and Fengqing Jiang and Luyao Niu and Yuntian Deng and Radha Poovendran and Yejin Choi and Bill Yuchen Lin},
    year={2024},
    eprint={2406.08464},
    archivePrefix={arXiv},
    primaryClass={cs.CL},
    url={https://arxiv.org/abs/2406.08464},
}
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