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harishkotra/technical-support-dataset

Dataset Card for technical-support-dataset 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/hk-gaianet/technical-support-dataset/raw/main/pipeline.yaml" or explore the configuration: distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/harishkotra/technical-support-dataset.

sourceHugging Faceupdated 2y agoView on Hugging Face
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Dataset Card

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Dataset Card for technical-support-dataset

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:

console
distilabel pipeline run --config "https://huggingface.co/datasets/hk-gaianet/technical-support-dataset/raw/main/pipeline.yaml"

or explore the configuration:

console
distilabel pipeline info --config "https://huggingface.co/datasets/hk-gaianet/technical-support-dataset/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

<details><summary> Configuration: default </summary><hr>

json
{
    "labels": [
        1,
        4
    ],
    "text": "The error message \u00270x80004005\u0027 keeps popping up whenever I try to install a new application. I\u0027ve tried reinstalling the OS and the app, but the issue persists."
}

This subset can be loaded as:

python
from datasets import load_dataset

ds = load_dataset("hk-gaianet/technical-support-dataset", "default")

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

python
from datasets import load_dataset

ds = load_dataset("hk-gaianet/technical-support-dataset")

</details>