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{ "raw_input_text_generation_0": null, "raw_input_text_generation_1": null, "raw_output_text_generation_0": null, "raw_output_text_generation_1": null }
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Built with Distilabel

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

This dataset has been created with distilabel.

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

It can be run directly using the CLI:

distilabel pipeline run --script "https://huggingface.co/datasets/ramonactruta/uplimit-synthetic-data-week-1-basic/raw/main/colab_kernel_launcher.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/ramonactruta/uplimit-synthetic-data-week-1-basic/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/ramonactruta/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_0": null,
        "raw_input_text_generation_1": null,
        "raw_output_text_generation_0": null,
        "raw_output_text_generation_1": null
    },
    "instruction": null,
    "model_name": null,
    "response": null
}

This subset can be loaded as:

from datasets import load_dataset

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