distilabel-internal-testing/dpo-mix-4k-criticurus-temperature0.7-v0.0

---
size_categories: n<1K
dataset_info:
features:
- name: instruction
dtype: string
- name: response
dtype: string
- name: rating
dtype: float64
- name: dataset_name
dtype: string
- name: model_name
dtype: string
- name: score
dtype: string
- name: critique
dtype: string
- name: raw_output
dtype: string
splits:
- name: train
num_bytes: 9539790
num_examples: 3996
download_size: 4772223
dataset_size: 9539790
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 dpo-mix-4k-criticurus-temperature0.7-v0.0

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/dpo-mix-4k-criticurus-temperature0.7-v0.0/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/distilabel-internal-testing/dpo-mix-4k-criticurus-temperature0.7-v0.0/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:

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

```json
{
"critique": "You correctly identified the anagram \"dormatory\" as a place where students live. However, the term \"dormatory\" is not commonly used, and it seems like a typo. To improve, ensure that the word you provide is accurate and commonly used in the context given. For instance, you could have used \"dortory\" instead, which is still a form of the word \"dorm restaurant\" but is more logical and correctly speled.",
"dataset_name": "argilla/distilabel-capybara-dpo-7k-binarized",
"instruction": "A phrase that\u0027s an anagram of \"dirty room\", it refers to a place where students live.",
"model_name": "distilabel-internal-testing/criticurus-v0.0",
"rating": 5.0,
"raw_output": null,
"response": "dormitory",
"score": "7\u003c|im_end|\u003e"
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("distilabel-internal-testing/dpo-mix-4k-criticurus-temperature0.7-v0.0", "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/dpo-mix-4k-criticurus-temperature0.7-v0.0")
```

</details>