metadata

language:
  - en
size_categories: n<1K
dataset_info:
  features:
    - name: text
      dtype: string
    - name: labels
      sequence:
        class_label:
          names:
            '0': other
            '1': software-error
            '2': hardware-issue
            '3': connectivity-problem
            '4': system-update
  splits:
    - name: train
      num_bytes: 22658
      num_examples: 100
  download_size: 11564
  dataset_size: 22658
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
tags:
  - synthetic
  - distilabel
  - rlaif
  - datacraft

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

Dataset structure

The examples have the following structure per configuration:

Configuration: default

{
    "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:

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:

from datasets import load_dataset

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