size_categories:n<1K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars library:distilabel arxiv:2408.02442 region:us synthetic distilabel rlaif
---
size_categories: n<1K
dataset_info:
  features:
  - name: text
    dtype: string
  - name: step_labels
    sequence: string
  splits:
  - name: train
    num_bytes: 39784
    num_examples: 50
  download_size: 27956
  dataset_size: 39784
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 test222

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/ashercn97/test222/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/ashercn97/test222/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


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

```json
{
    "step_labels": [
        "logical",
        "illogical",
        "logical",
        "illogical",
        "logical",
        "logical",
        "illogical",
        "illogical",
        "illogical",
        "illogical",
        "illogical",
        "illogical",
        "illogical"
    ],
    "text": "It\u2019s great that you passed the course you initially failed, indicating improvement and resilience. However, missing the deadline for a final paper can have significant repercussions on your overall grade. This situation raises concerns about time management and organizational skills, which are crucial in an academic setting. The pressure of finals can sometimes be overwhelming, causing students to overlook important tasks. \n\nDespite the feeling of momentum from passing one course, the sudden setback of a missed deadline can overshadow your achievements. Social considerations also play a role; not being initiated into the sorority could lead to feelings of isolation in the campus social landscape. Yet, it\u2019s possible that even if you"
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("ashercn97/test222", "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("ashercn97/test222")
```


</details>





## References


```
@misc{2408.02442,
Author = {Zhi Rui Tam and Cheng-Kuang Wu and Yi-Lin Tsai and Chieh-Yen Lin and Hung-yi Lee and Yun-Nung Chen},
Title = {Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models},
Year = {2024},
Eprint = {arXiv:2408.02442},
}
```


