di-zhang-fdu/reasoning_preference

---
# For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
{}
---

# Dataset Card for Dataset Name

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This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).

## Dataset Details

### Dataset Description

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- **Curated by:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
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### Dataset Sources [optional]

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## Uses

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### Direct Use

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## Dataset Structure

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## Dataset Creation

### Curation Rationale

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### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

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#### Who are the source data producers?

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### Annotations [optional]

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#### Annotation process

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#### Who are the annotators?

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#### Personal and Sensitive Information

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## Bias, Risks, and Limitations

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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

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## Glossary [optional]

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# 有关数据集卡片元数据的参考规范，请参见：https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
# 文档/指南：https://huggingface.co/docs/hub/datasets-cards
{}
---

# 数据集名称数据集卡片

<!-- 请简要概述该数据集。 -->

本数据集卡片旨在作为新建数据集的基础模板，其基于[此原始模板](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1)生成。

## 数据集详情

### 数据集描述

<!-- 请详细阐述该数据集的具体内容。 -->

- **数据整理者：** [需补充更多信息]
- **资助方 [可选]：** [需补充更多信息]
- **共享方 [可选]：** [需补充更多信息]
- **自然语言处理（Natural Language Processing，简称NLP）涉及语言：** [需补充更多信息]
- **授权协议：** [需补充更多信息]

### 数据集来源 [可选]

<!-- 请提供该数据集的基础链接信息。 -->

- **代码仓库：** [需补充更多信息]
- **相关论文 [可选]：** [需补充更多信息]
- **演示页面 [可选]：** [需补充更多信息]

## 数据集用途

### 直接使用场景
<!-- 本章节阐述该数据集的适用场景。 -->
[需补充更多信息]

### 不适用使用场景
<!-- 本章节说明不当使用、恶意使用，以及该数据集无法良好适配的使用场景。 -->
[需补充更多信息]

## 数据集结构
<!-- 本章节描述数据集的字段信息，以及数据集结构的补充细节，例如划分数据集子集的标准、数据点间的关联关系等。 -->
[需补充更多信息]

## 数据集构建

### 构建初衷
<!-- 本章节阐述创建该数据集的动机。 -->
[需补充更多信息]

### 源数据
<!-- 本章节说明源数据的具体类型，例如新闻文本与标题、社交媒体帖文、译制语句等。 -->

#### 数据收集与处理流程
<!-- 本章节阐述数据收集与处理的完整流程，例如数据筛选标准、过滤与归一化方法、所使用的工具与开源库等。 -->
[需补充更多信息]

#### 源数据生产者是谁？
<!-- 本章节说明原始创建该数据的个人或系统，若可获取源数据创建者的自我申报人口统计学或身份信息，也应在此处说明。 -->
[需补充更多信息]

### 数据标注 [可选]
<!-- 若数据集包含初始数据收集环节之外的标注信息，请在本章节进行说明。 -->

#### 标注流程
<!-- 本章节阐述标注流程的细节，例如标注所使用的工具、已标注数据量、向标注人员提供的标注指南、标注者间一致性统计数据、标注验证流程等。 -->
[需补充更多信息]

#### 标注人员是谁？
<!-- 本章节说明创建标注的个人或系统。 -->
[需补充更多信息]

#### 个人与敏感信息
<!-- 请说明数据集是否包含可被归类为个人、敏感或隐私的数据（例如：涉及地址、唯一可识别姓名或别名、种族或族裔出身、性取向、宗教信仰、政治观点、财务或健康数据等）。若已对数据进行匿名化处理，请说明匿名化流程。 -->
[需补充更多信息]

## 偏差、风险与局限性
<!-- 本章节旨在阐述该数据集的技术与社会技术层面的局限性。 -->
[需补充更多信息]

### 建议
<!-- 本章节针对数据集的偏差、风险与技术局限性提出相关建议。 -->
使用者应充分知晓该数据集存在的风险、偏差与局限性，相关进一步建议仍需补充更多信息。

## 引用说明 [可选]
<!-- 若存在介绍该数据集的论文或博客文章，请在此处提供其APA格式与BibTeX格式的引用信息。 -->

**BibTeX 格式引用：**
[需补充更多信息]

**APA 格式引用：**
[需补充更多信息]

## 术语表 [可选]
<!-- 若有需要，本章节可收录有助于读者理解数据集或数据集卡片的术语与计算公式。 -->
[需补充更多信息]

## 更多信息 [可选]
[需补充更多信息]

## 数据集卡片作者 [可选]
[需补充更多信息]

## 数据集卡片联系方式
[需补充更多信息]