README.md

metadata

size_categories: n<1K
dataset_info:
  features:
    - name: text
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': games
            '1': home_and_garden
            '2': news
            '3': shopping
            '4': law_and_government
            '5': business_and_industrial
            '6': computer_and_electronic
            '7': jobs_and_education
            '8': health
            '9': real_estate
            '10': people_and_society
            '11': internet_and_telecom
            '12': travel_and_transportation
            '13': finance
            '14': sensitive_subjects
            '15': beauty_and_fitness
            '16': arts_and_entertainment
            '17': sport
            '18': autos_and_vehicles
  splits:
    - name: train
      num_bytes: 349392
      num_examples: 998
  download_size: 188787
  dataset_size: 349392
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
tags:
  - synthetic
  - distilabel
  - rlaif
  - datacraft

Dataset Card for my-distiset-dacfadf3

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/khoantap/my-distiset-dacfadf3/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/khoantap/my-distiset-dacfadf3/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default

---

{
    "label": 8,
    "text": "Regular exercise and a balanced diet are crucial in preventing various chronic illnesses. Understanding the nutritional value of foods can help individuals make informed choices that contribute to overall wellness. Additionally, mental health awareness plays a significant role in maintaining a healthy lifestyle."
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("khoantap/my-distiset-dacfadf3", "default")

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

from datasets import load_dataset

ds = load_dataset("khoantap/my-distiset-dacfadf3")