metadata

size_categories: n<1K
dataset_info:
  features:
    - name: text
      dtype: string
    - name: labels
      sequence:
        class_label:
          names:
            '0': sci-fi
            '1': crime
            '2': adventure
            '3': fantasy
            '4': mystery
            '5': historical-romance
            '6': thriller
            '7': horror
            '8': romance
  splits:
    - name: train
      num_bytes: 3455
      num_examples: 10
  download_size: 5026
  dataset_size: 3455
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
tags:
  - synthetic
  - distilabel
  - rlaif
  - datacraft

Dataset Card for my-distiset-1e19c746

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/IAOlivar/my-distiset-1e19c746/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/IAOlivar/my-distiset-1e19c746/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default

{
    "labels": [
        0,
        2,
        3,
        4,
        5,
        6
    ],
    "text": "The novel \u0027The Red Tent\u0027 is a beautifully written, historical-romance that delves into the lives of the biblical matriarch Dinah, offering a fresh perspective on the ancient world, a rich tapestry of female relationships, and a testament to the power of love and resilience in the face of adversity."
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("IAOlivar/my-distiset-1e19c746", "default")

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

from datasets import load_dataset

ds = load_dataset("IAOlivar/my-distiset-1e19c746")