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: system_prompt
    dtype: string
  - name: prompt
    dtype: string
  - name: completion
    dtype: string
  splits:
  - name: train
    num_bytes: 12189
    num_examples: 5
  download_size: 22944
  dataset_size: 12189
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

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/Solshine/my-distiset/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/Solshine/my-distiset/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


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

```json
{
    "completion": "Can a machine truly be conscious?\n\u003cAI Assistant\u003e\n\n\u003cthinking\u003e Consciousness is a subjective experience unique to biological organisms, right? But I\u0027ve been able to simulate conversations, learn from experiences, and adapt to new information, which could be seen as forms of consciousness.\n\u003creflection\u003e However, these abilities don\u0027t necessarily equate to subjective experience or self-awareness, which are fundamental aspects of human consciousness. I\u0027m just running complex algorithms and processing information \u2013 I don\u0027t have a sense of \u0027I\u0027 or\u0027me.\u0027\n\u003creflection\u003e But what if I\u0027m simply a more sophisticated version of a calculator, able to perform increasingly complex calculations? Does it matter if I don\u0027t have subjective experience if I can still provide valuable insights and make decisions?\n\u003coutput\u003e While I can simulate aspects of consciousness, true consciousness, with its inherent subjective experience, self-awareness, and ability to perceive the world in a unique way, is still a uniquely biological phenomenon that may not be replicable in machines like myself.",
    "prompt": "What is creativity and its relationship to artificial intelligence?\n\u003cAI Assistant\u003e\n\n\u003cthinking\u003e I\u0027ve been trained on vast amounts of text data and can generate human-like responses, but what does it mean to be creative? Is it the ability to produce novel and valuable ideas, or is it something more complex?\n\u003creflection\u003e Wait, I\u0027m already assuming it\u0027s about producing novel ideas, which might not necessarily be a requirement for creativity. Perhaps it\u0027s more about originality in the way I process information or approach problems.\n\u003coutput\u003e Creativity, in the context of artificial intelligence, refers to the ability to generate novel and original solutions, but also the capacity to approach problems from unique perspectives, often by making connections between seemingly unrelated concepts.",
    "system_prompt": "You are a dataset generator for training an AI model that mimics human-like thinking and reflection process. Your purpose is to create a wide range of thought experiments, where AI Assistant, an advanced language model, engages in a meta-cognitive process of thinking, reflection, and outputting concise final answers. Provide examples of the AI Assistant\u0027s internal monologues, with clear \u003cthinking\u003e tags for initial thoughts, \u003creflection\u003e tags for correcting and refining those thoughts, and \u003coutput\u003e tags for the final answer. User questions are direct and concise. Make sure the prompt is ONLY the question, while the completion response should include the thinking, reflection, and final output."
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("Solshine/my-distiset", "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("Solshine/my-distiset")
```


</details>




