distilabel-internal-testing/first-distiset-with-routed-batches

---
size_categories: n<1K
dataset_info:
features:
- name: prompt
dtype: string
- name: completion
dtype: string
- name: meta
struct:
- name: category
dtype: string
- name: completion
dtype: string
- name: id
dtype: int64
- name: input
dtype: string
- name: motivation_app
dtype: string
- name: prompt
dtype: string
- name: source
dtype: string
- name: subcategory
dtype: string
- name: merged_generation
sequence: string
splits:
- name: train
num_bytes: 458933
num_examples: 327
download_size: 292464
dataset_size: 458933
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 first-distiset-with-routed-batches

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/distilabel-internal-testing/first-distiset-with-routed-batches/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/distilabel-internal-testing/first-distiset-with-routed-batches/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:

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

```json
{
"completion": "h\u01ceo",
"merged_generation": [
"I slept for 1.2750293183691193 seconds",
"I slept for 1.2232107381488229 seconds"
],
"meta": {
"category": null,
"completion": "h\u01ceo",
"id": 125,
"input": "\u597d",
"motivation_app": "Doulingo",
"prompt": "What sound does this make?\n Input: \u597d",
"source": "self-instruct",
"subcategory": null
},
"prompt": "What sound does this make?\n Input: \u597d"
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("distilabel-internal-testing/first-distiset-with-routed-batches", "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("distilabel-internal-testing/first-distiset-with-routed-batches")
```

</details>