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
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")