---
size_categories: n<1K
dataset_info:
  features:
  - name: instruction
    dtype: string
  - name: generation
    dtype: string
  - name: distilabel_metadata
    struct:
    - name: raw_output_text_generation_0
      dtype: string
    - name: raw_input_text_generation_0
      list:
      - name: role
        dtype: string
      - name: content
        dtype: string
    - name: statistics_text_generation_0
      struct:
      - name: input_tokens
        dtype: int64
      - name: output_tokens
        dtype: int64
  - name: model_name
    dtype: string
  splits:
  - name: train
    num_bytes: 32848
    num_examples: 10
  download_size: 40020
  dataset_size: 32848
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
tags:
- synthetic
- distilabel
- rlaif
---

<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 distilabel-example

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/davidmeikle/distilabel-example/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/davidmeikle/distilabel-example/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


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

```json
{
    "distilabel_metadata": {
        "raw_input_text_generation_0": [
            {
                "content": "Arianna has 12 chocolates more than Danny. Danny has 6 chocolates more than Robbie. Arianna has twice as many chocolates as Robbie has. How many chocolates does Danny have?",
                "role": "user"
            }
        ],
        "raw_output_text_generation_0": "To solve this problem, let\u0027s break it down step by step.\n\n1. Let\u0027s say Robbie has \u0027x\u0027 chocolates.\n\n2. Danny has 6 chocolates more than Robbie, so Danny has \u0027x + 6\u0027 chocolates.\n\n3. Arianna has 12 chocolates more than Danny, so Arianna has \u0027x + 6 + 12\u0027 chocolates. This can be simplified to \u0027x + 18\u0027 chocolates.\n\n4. Arianna has twice as many chocolates as Robbie, so we can set up the equation: x + 18 = 2x.\n\n5. Now, let\u0027s solve for \u0027x\u0027. Subtract \u0027x\u0027 from both sides: 18 = x. \n\n6. Now that we know Robbie has 18 chocolates, and Danny has 6 chocolates more than Robbie, we can find the number of chocolates Danny has by substituting \u0027x\u0027 into the equation \u0027x + 6\u0027: 18 + 6 = 24.\n\nSo, Danny has 24 chocolates.",
        "statistics_text_generation_0": {
            "input_tokens": 73,
            "output_tokens": 206
        }
    },
    "generation": "To solve this problem, let\u0027s break it down step by step.\n\n1. Let\u0027s say Robbie has \u0027x\u0027 chocolates.\n\n2. Danny has 6 chocolates more than Robbie, so Danny has \u0027x + 6\u0027 chocolates.\n\n3. Arianna has 12 chocolates more than Danny, so Arianna has \u0027x + 6 + 12\u0027 chocolates. This can be simplified to \u0027x + 18\u0027 chocolates.\n\n4. Arianna has twice as many chocolates as Robbie, so we can set up the equation: x + 18 = 2x.\n\n5. Now, let\u0027s solve for \u0027x\u0027. Subtract \u0027x\u0027 from both sides: 18 = x. \n\n6. Now that we know Robbie has 18 chocolates, and Danny has 6 chocolates more than Robbie, we can find the number of chocolates Danny has by substituting \u0027x\u0027 into the equation \u0027x + 6\u0027: 18 + 6 = 24.\n\nSo, Danny has 24 chocolates.",
    "instruction": "Arianna has 12 chocolates more than Danny. Danny has 6 chocolates more than Robbie. Arianna has twice as many chocolates as Robbie has. How many chocolates does Danny have?",
    "model_name": "meta-llama/Llama-3.1-8B-Instruct"
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("davidmeikle/distilabel-example", "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("davidmeikle/distilabel-example")
```


</details>