xDAN-Engine/size_test

---
size_categories: n<1K
dataset_info:
- config_name: default
features:
- name: instruction
dtype: string
- name: completion
dtype: string
- name: meta
struct:
- name: category
dtype: string
- name: completion
dtype: string
- name: id
dtype: int64
- name: input
dtype: 'null'
- name: motivation_app
dtype: 'null'
- name: prompt
dtype: string
- name: source
dtype: string
- name: subcategory
dtype: string
- name: model_name
dtype: string
- name: generations
dtype: string
splits:
- name: train
num_bytes: 68386
num_examples: 30
- name: test
num_bytes: 69606
num_examples: 30
download_size: 71198
dataset_size: 137992
- config_name: test1
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
- name: task_type
struct:
- name: major
sequence: string
- name: minor
sequence: string
- name: domain
sequence: string
- name: metadata
dtype: string
- name: answer_from
dtype: string
- name: human_verified
dtype: bool
- name: copyright
dtype: string
- name: subset
dtype: string
splits:
- name: train
num_bytes: 62864
num_examples: 100
download_size: 42246
dataset_size: 62864
- config_name: test2
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
- name: task_type
struct:
- name: major
sequence: string
- name: minor
sequence: string
- name: domain
sequence: string
- name: metadata
dtype: string
- name: answer_from
dtype: string
- name: human_verified
dtype: bool
- name: copyright
dtype: string
- name: subset
dtype: string
splits:
- name: train
num_bytes: 6286.4
num_examples: 10
download_size: 12402
dataset_size: 6286.4
- config_name: test3
features:
- name: input
dtype: string
- name: generation_model
sequence: string
- name: generation_prompt
list:
list:
- name: content
dtype: string
- name: role
dtype: string
- name: raw_generation_responses
sequence: string
- name: generations
sequence: string
- name: labelling_model
dtype: string
- name: labelling_prompt
list:
- name: content
dtype: string
- name: role
dtype: string
- name: raw_labelling_response
dtype: string
- name: rating
sequence: float64
- name: rationale
sequence: string
splits:
- name: train
num_bytes: 135709
num_examples: 20
download_size: 68862
dataset_size: 135709
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- config_name: test1
data_files:
- split: train
path: test1/train-*
- config_name: test2
data_files:
- split: train
path: test2/train-*
- config_name: test3
data_files:
- split: train
path: test3/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 size_test

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/xDAN-Engine/size_test/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/xDAN-Engine/size_test/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:

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

```json
{
"generation": "\u6839\u636e\u6570\u5b66\u4e2d\u7684\u8fd0\u7b97\u987a\u5e8f\uff08\u5148\u4e58\u9664\u540e\u52a0\u51cf\uff09\uff0c\u9996\u5148\u8fdb\u884c\u4e58\u6cd5\u8fd0\u7b97\uff1a\n\n2 * 1 = 2\n\n\u7136\u540e\u8fdb\u884c\u51cf\u6cd5\u8fd0\u7b97\uff1a\n\n8 - 2 = 6\n\n\u6240\u4ee5\uff0c8 - 2 * 1 \u7684\u7ed3\u679c\u662f 6\u3002",
"instruction": "\u7b97\u4e00\u4e0b\u8fd9\u4e2a\u6570\u5b66\u9898\uff1a8 - 2 * 1\uff0c\u7ed3\u679c\u662f\uff1f",
"model_name": "gpt-4-turbo",
"response": 6.0
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("xDAN-Engine/size_test", "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("xDAN-Engine/size_test")
```

</details>

原始信息汇总

数据集概述

数据集基本信息

• 大小分类: 小于1K
• 数据集大小: 137992字节
• 下载大小: 71198字节

数据集配置

• 默认配置 (config_name: default)

  • 特征:
    • instruction: 字符串
    • completion: 字符串
    • meta: 结构体
      • category: 字符串
      • completion: 字符串
      • id: int64
      • input: null
      • motivation_app: null
      • prompt: 字符串
      • source: 字符串
      • subcategory: 字符串
    • model_name: 字符串
    • generations: 字符串
  • 分割:
    • train: 68386字节, 30个样本
    • test: 69606字节, 30个样本

• 测试配置1 (config_name: test1)

  • 特征:
    • instruction: 字符串
    • input: 字符串
    • output: 字符串
    • task_type: 结构体
      • major: 序列, 字符串
      • minor: 序列, 字符串
    • domain: 序列, 字符串
    • metadata: 字符串
    • answer_from: 字符串
    • human_verified: bool
    • copyright: 字符串
    • subset: 字符串
  • 分割:
    • train: 62864字节, 100个样本

• 测试配置2 (config_name: test2)

  • 特征:
    • instruction: 字符串
    • input: 字符串
    • output: 字符串
    • task_type: 结构体
      • major: 序列, 字符串
      • minor: 序列, 字符串
    • domain: 序列, 字符串
    • metadata: 字符串
    • answer_from: 字符串
    • human_verified: bool
    • copyright: 字符串
    • subset: 字符串
  • 分割:
    • train: 6286.4字节, 10个样本

• 测试配置3 (config_name: test3)

  • 特征:
    • input: 字符串
    • generation_model: 序列, 字符串
    • generation_prompt: 列表
      • content: 字符串
      • role: 字符串
    • raw_generation_responses: 序列, 字符串
    • generations: 序列, 字符串
    • labelling_model: 字符串
    • labelling_prompt: 列表
      • content: 字符串
      • role: 字符串
    • raw_labelling_response: 字符串
    • rating: 序列, float64
    • rationale: 序列, 字符串
  • 分割:
    • train: 135709字节, 20个样本

数据集标签

• synthetic
• distilabel
• rlaif