metadata

size_categories: n<1K
task_categories:
  - text-classification
dataset_info:
  features:
    - name: text
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': netral
            '1': negatif
            '2': positif
  splits:
    - name: train
      num_bytes: 19887
      num_examples: 73
  download_size: 14124
  dataset_size: 19887
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
tags:
  - synthetic
  - distilabel
  - rlaif
  - datacraft

Dataset Card for my-distiset-acc23032

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/hendyfergus93/my-distiset-acc23032/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/hendyfergus93/my-distiset-acc23032/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default

{
    "label": 1,
    "text": "I\u0027ve noticed that vaping products are gaining popularity among my younger cousins, but I\u0027m worried about the health risks associated with them. Has anyone tried quitting vape? How difficult is it to stop?"
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("hendyfergus93/my-distiset-acc23032", "default")

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

from datasets import load_dataset

ds = load_dataset("hendyfergus93/my-distiset-acc23032")