---
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
---

<p align="left">
  <a href="https://github.com/argilla-io/distilabel">
    <img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
  </a>
</p>

# Dataset Card for my-distiset-5f76f23d

This dataset has been created with [distilabel](https://distilabel.argilla.io/).



## 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:

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

or explore the configuration:

```console
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:


<details><summary> Configuration: default </summary><hr>

```json
{
    "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:

```python
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`: 

```python
from datasets import load_dataset

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


</details>