metadata

size_categories: n<1K
task_categories:
  - text-classification
dataset_info:
  features:
    - name: text
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': pneumonia
            '1': varicose veins
            '2': impetigo
            '3': allergy
            '4': fungal infection
            '5': arthritis
            '6': migraine
            '7': jaundice
            '8': typhoid
            '9': acne
            '10': dengue
            '11': gastroesophageal reflux disease
            '12': psoriasis
            '13': chicken pox
            '14': urinary tract infection
            '15': dimorphic hemorrhoids
            '16': drug reaction
            '17': peptic ulcer disease
            '18': malaria
            '19': common cold
            '20': cervical spondylosis
            '21': diabetes
            '22': bronchial asthma
            '23': hypertension
  splits:
    - name: train
      num_bytes: 20611
      num_examples: 100
  download_size: 13446
  dataset_size: 20611
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
tags:
  - synthetic
  - distilabel
  - rlaif
  - datacraft

Dataset Card for my-distiset-6b7dded7

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/silvaKenpachi/my-distiset-6b7dded7/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/silvaKenpachi/my-distiset-6b7dded7/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default

{
    "label": 9,
    "text": "The patient presents with inflamed red bumps on the face, particularly on the forehead, chin, and cheeks, accompanied by blackheads and occasional pus-filled pimples. The skin is oily to the touch, and the patient has experienced recent stress."
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("silvaKenpachi/my-distiset-6b7dded7", "default")

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

from datasets import load_dataset

ds = load_dataset("silvaKenpachi/my-distiset-6b7dded7")