README.md

metadata

size_categories: n<1K
dataset_info:
  features:
    - name: text
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': documento-de-identificação
            '1': ip
            '2': endereço-eletrônico
            '3': nome-do-indivíduo
            '4': cpf
            '5': cnpj
            '6': endereço
            '7': telefone
            '8': conta bancária
            '9': sobrenome
  splits:
    - name: train
      num_bytes: 18669
      num_examples: 79
  download_size: 13061
  dataset_size: 18669
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
tags:
  - synthetic
  - distilabel
  - rlaif
  - datacraft

Dataset Card for my-distiset-55a6b53b

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/arthrod/my-distiset-55a6b53b/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/arthrod/my-distiset-55a6b53b/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default

---

{
    "label": 8,
    "text": "Nossa conta banc\u00e1ria em [MASK] \u00e9 o meu n\u00famero de CPF."
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("arthrod/my-distiset-55a6b53b", "default")

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

from datasets import load_dataset

ds = load_dataset("arthrod/my-distiset-55a6b53b")