ziamor/nova_test

---
dataset_info:
features:
- name: inputs
dtype: string
splits:
- name: train
num_bytes: 5121
num_examples: 30
download_size: 3043
dataset_size: 5121
---

# Dataset Card for Dataset Name

<!-- Provide a quick summary of the dataset. -->

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

<!-- Provide a longer summary of what this dataset is. -->

- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->

- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]

## Uses

<!-- Address questions around how the dataset is intended to be used. -->

### Direct Use

<!-- This section describes suitable use cases for the dataset. -->

[More Information Needed]

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->

[More Information Needed]

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

[More Information Needed]

## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

[More Information Needed]

### 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. -->

[More Information Needed]

#### Who are the source data producers?

<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->

[More Information Needed]

### Annotations [optional]

<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->

#### Annotation process

<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->

[More Information Needed]

#### Who are the annotators?

<!-- This section describes the people or systems who created the annotations. -->

[More Information Needed]

#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->

[More Information Needed]

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

[More Information Needed]

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

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

## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

[More Information Needed]

**APA:**

[More Information Needed]

## Glossary [optional]

<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->

[More Information Needed]

## More Information [optional]

[More Information Needed]

## Dataset Card Authors [optional]

[More Information Needed]

## Dataset Card Contact

[More Information Needed]

dataset_info:
特征:
- 名称: inputs
数据类型: string
拆分:
- 名称: train
字节数: 5121
样本数: 30
下载大小: 3043
数据集大小: 5121
---

# 数据集名称的数据集卡片

<!-- 提供数据集的简要概述。 -->

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

## 数据集详情

### 数据集描述

<!-- 提供数据集的详细概述。 -->

- **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）语言：** [需补充更多信息]
- **许可证：** [需补充更多信息]

### 数据集来源（可选）

<!-- 提供数据集的基础链接。 -->

- **代码仓库：** [需补充更多信息]
- **论文（可选）：** [需补充更多信息]
- **演示（可选）：** [需补充更多信息]

## 用途

### 直接用途

<!-- 本节描述数据集的适用场景。 -->

[需补充更多信息]

### 超出范围的用途

<!-- 本节涉及误用、恶意使用及数据集不适用的场景。 -->

[需补充更多信息]

## 数据集结构

<!-- 本节描述数据集字段，以及数据集结构的补充信息（如拆分创建标准、数据点间关系等）。 -->

[需补充更多信息]

## 数据集创建

### 整理依据

<!-- 数据集创建的动机。 -->

[需补充更多信息]

### 源数据

<!-- 本节描述源数据（如新闻文本与标题、社交媒体帖子、翻译句子等）。 -->

#### 数据收集与处理

<!-- 本节描述数据收集与处理流程（如数据选择标准、过滤与归一化方法、所用工具与库等）。 -->

[需补充更多信息]

#### 源数据生产者是谁？

<!-- 本节描述原始创建数据的人员或系统。若有可用信息，还应包含源数据创建者的自我报告人口统计或身份信息。 -->

[需补充更多信息]

### 标注（可选）

<!-- 若数据集包含初始数据收集之外的标注，本节用于描述这些标注。 -->

#### 标注流程

<!-- 本节描述标注流程（如所用标注工具、标注数据量、向标注者提供的标注指南、标注者间统计数据、标注验证等）。 -->

[需补充更多信息]

#### 标注者是谁？

<!-- 本节描述创建标注的人员或系统。 -->

[需补充更多信息]

#### 个人与敏感信息

<!-- 说明数据集是否包含可能被视为个人、敏感或私密的数据（如暴露地址、唯一可识别姓名或别名、种族或族裔起源、性取向、宗教信仰、政治观点、财务或健康数据等）。若已采取匿名化措施，描述匿名化流程。 -->

[需补充更多信息]

## 偏差、风险与局限性

<!-- 本节旨在传达技术与社会技术层面的局限性。 -->

[需补充更多信息]

### 建议

<!-- 本节旨在针对偏差、风险与技术局限性提供建议。 -->

应让用户知晓数据集的风险、偏差与局限性。需补充更多信息以提供进一步建议。

## 引用（可选）

<!-- 若有介绍该数据集的论文或博客文章，APA与BibTeX格式信息应置于本节。 -->

**BibTeX格式：**

[需补充更多信息]

**APA格式：**

[需补充更多信息]

## 术语表（可选）

<!-- 若相关，本节包含有助于读者理解数据集或数据集卡片的术语与计算方式。 -->

[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]

## 数据集卡片联系人

[需补充更多信息]

原始信息汇总

数据集详情

数据集描述

• 特征:

  • 名称: inputs
  • 数据类型: string

• 数据分割:

  • 名称: train
  • 字节数: 5121
  • 样本数量: 30

• 下载大小: 3043

• 数据集大小: 5121