metadata

size_categories: n<1K
dataset_info:
  features:
    - name: text
      dtype: string
    - name: labels
      sequence:
        class_label:
          names:
            '0': educacio
            '1': societat
  splits:
    - name: train
      num_bytes: 2778
      num_examples: 10
  download_size: 3972
  dataset_size: 2778
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
tags:
  - synthetic
  - distilabel
  - rlaif
  - datacraft

Dataset Card for my-distiset-8dba07e0

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/adriansanz/my-distiset-8dba07e0/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/adriansanz/my-distiset-8dba07e0/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default

{
    "labels": [
        0,
        1
    ],
    "text": "The ontological implications of Heisenberg\u0027s uncertainty principle are often misinterpreted in the context of quantum decoherence, leading to a flawed understanding of the nature of reality. This misconception can be attributed to the oversimplification of complex mathematical formulations."
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("adriansanz/my-distiset-8dba07e0", "default")

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

from datasets import load_dataset

ds = load_dataset("adriansanz/my-distiset-8dba07e0")