metadata

size_categories: n<1K
dataset_info:
  features:
    - name: text
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': domestic-violence
            '1': findom
            '2': sex-work
            '3': fetish
            '4': bdsm
            '5': kink-shaming
            '6': consent-discussion
            '7': societal-stigma
  splits:
    - name: train
      num_bytes: 3774
      num_examples: 10
  download_size: 4771
  dataset_size: 3774
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
tags:
  - synthetic
  - distilabel
  - rlaif
  - datacraft

Dataset Card for my-distiset-64eab852

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/meetaada/my-distiset-64eab852/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co./datasets/meetaada/my-distiset-64eab852/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default

{
    "label": 6,
    "text": "In BDSM communities, there\u0027s a growing emphasis on consent and negotiation between partners, aiming to create a safe and respectful environment for all participants. A recent survey found that most kinksters prioritize open communication and mutual respect."
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("meetaada/my-distiset-64eab852", "default")

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

from datasets import load_dataset

ds = load_dataset("meetaada/my-distiset-64eab852")