faker-example / README.md
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metadata
size_categories: n<1K
dataset_info:
  features:
    - name: column_name
      dtype: string
    - name: id_faker_code
      dtype: string
    - name: column
      dtype: 'null'
  splits:
    - name: train
      num_bytes: 190
      num_examples: 3
  download_size: 1987
  dataset_size: 190
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
tags:
  - synthetic
  - distilabel
  - rlaif

Built with Distilabel

Dataset Card for faker-example

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/ninaxu/faker-example/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/ninaxu/faker-example/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default
{
    "column": {
        "ssn9": null,
        "uplift_account_id": null,
        "uplift_loan_id": [
            "767538252139",
            "667049671270",
            "629495752794",
            "200673302532",
            "887290069819",
            "774569958690",
            "687035977489",
            "261040348163",
            "881853549149",
            "974096858267",
            "354400521683",
            "892759081452",
            "556381540384",
            "502766679662",
            "244376638110",
            "192299681865",
            "547650284724",
            "658616191390",
            "085314320739",
            "154240089183",
            "926307703441",
            "303303465686",
            "416781311441",
            "243577071170",
            "250218210509",
            "113369674260",
            "420896410091",
            "226418560226",
            "117583578669",
            "167395157410",
            "740689622542",
            "474314115782",
            "588117021406",
            "815970484629",
            "304221006099",
            "384479020835",
            "469103586624",
            "335740404987",
            "116161510657",
            "169718369315",
            "096010675540",
            "045772991885",
            "305872648631",
            "290925974631",
            "049246699595",
            "053048354474",
            "321041224960",
            "678295465020",
            "737262143268",
            "221460665663"
        ]
    },
    "column_name": "uplift_loan_id",
    "id_faker_code": "fake.unique.numerify(text=\u0027############\u0027)"
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("ninaxu/faker-example", "default")

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

from datasets import load_dataset

ds = load_dataset("ninaxu/faker-example")