metadata

language:
  - en
size_categories: n<1K
task_categories:
  - text-classification
dataset_info:
  features:
    - name: text
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': net-zero-emissions-in-energy-system
            '1': collaboration
            '2': business-plan
            '3': risk
            '4': awareness-of-cad
            '5': guaranteed-standards-of-performance
            '6': gas-supply
            '7': carbon-monoxide
            '8': planned-interruptions
            '9': off-grid-communities
            '10': willingness-to-pay
            '11': unplanned-interruptions
            '12': roadworks
            '13': sustainable-use-of-resources
            '14': innovation
            '15': emergency-service
            '16': vulnerability
            '17': environmental-action-plan
            '18': climate-and-carbon-commitments
            '19': collaborative-streetworks
            '20': customer-satisfaction
            '21': reinstatements
            '22': minimum-standards
            '23': reducing-environmental-impacts-from-projects
  splits:
    - name: train
      num_bytes: 16239
      num_examples: 33
  download_size: 10619
  dataset_size: 16239
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
tags:
  - synthetic
  - distilabel
  - rlaif
  - datacraft

Dataset Card for my-distiset-5f76f23d

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/Rushikesh/my-distiset-5f76f23d/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/Rushikesh/my-distiset-5f76f23d/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default

{
    "label": 14,
    "text": "As the world shifts towards renewable energy sources, it\u0027s crucial for the energy industry to prioritize sustainability and reduce its environmental footprint. The increasing demand for eco-friendly solutions will drive innovation and growth, making it an exciting time for the industry. However, the path forward will require collaboration between governments, businesses, and the public to create a harmonious balance between economic, social, and environmental needs."
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("Rushikesh/my-distiset-5f76f23d", "default")

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

from datasets import load_dataset

ds = load_dataset("Rushikesh/my-distiset-5f76f23d")