size_categories:n<1K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars library:distilabel region:us synthetic distilabel rlaif datacraft
---
size_categories: n<1K
dataset_info:
  features:
  - name: text
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': openly-accept-modern-technology
          '1': reject-modern-technology
          '2': accept-technology-with-caution
  splits:
  - name: train
    num_bytes: 58932
    num_examples: 100
  download_size: 30933
  dataset_size: 58932
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 neo-luditte-discussion

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/dvilasuero/neo-luditte-discussion/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/dvilasuero/neo-luditte-discussion/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


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

```json
{
    "label": 2,
    "text": "While I appreciate the efficiency and accessibility that smartphones bring, I\u0027ve noticed that people are spending more time staring at their screens and less time engaging with the world around them. The constant stream of notifications and the fear of missing out are leading to anxiety and depression in many individuals. Moreover, the environmental impact of manufacturing and disposing of these devices is significant. Perhaps it\u0027s time to reevaluate our relationship with technology and find a balance between its benefits and our well-being."
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("dvilasuero/neo-luditte-discussion", "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("dvilasuero/neo-luditte-discussion")
```


</details>




