davanstrien/similarity-dataset-test-code2

---
language:
- en
size_categories: n<1K
dataset_info:
features:
- name: anchor
dtype: string
- name: positive
dtype: string
- name: negative
dtype: string
- name: generation
dtype: string
splits:
- name: train
num_bytes: 104698
num_examples: 99
download_size: 52509
dataset_size: 104698
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 similarity-dataset-test-code2

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/davanstrien/similarity-dataset-test-code2/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/davanstrien/similarity-dataset-test-code2/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:

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

```json
{
"anchor": "Write a Python function that checks if an object is a subclass of a given class. The function should safely handle exceptions and return `False` if an exception is raised.",
"generation": "{ \"bad\": [\"Write a Python function that calculates the area of the supermoon in meters squared. The function should use the gravitational pull of a distant planet.\", \"Write a Python function that checks if the user is a developer by asking them to solve a simple math problem.\"], \"good\": [\"Write a Python function that determines if an object is a subclass of a given class, handling potential exceptions\", \"Write a Python function that checks if an object inherits from a specific class, ensuring robust error handling\"] }",
"negative": "Write a Python function that checks if the user is a developer by asking them to solve a simple math problem.",
"positive": "Write a Python function that determines if an object is a subclass of a given class, handling potential exceptions"
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("davanstrien/similarity-dataset-test-code2", "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("davanstrien/similarity-dataset-test-code2")
```

</details>

原始信息汇总

数据集概述

数据集基本信息

• 语言: 英语
• 大小类别: 小于1000条记录

数据集特征

• anchor: 字符串类型
• positive: 字符串类型
• negative: 字符串类型
• generation: 字符串类型

数据集分割

• 训练集:
  • 示例数量: 99
  • 数据大小: 104698字节
  • 下载大小: 52509字节

数据集配置

• 配置名称: default
• 数据文件:
  • 分割: 训练
  • 路径: data/train-*

数据集标签

• synthetic
• distilabel
• rlaif