poem_sentiment

# Dataset Card for Gutenberg Poem Dataset

## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)

## Dataset Description

- **Homepage:** N/A
- **Repository:** [GitHub](https://github.com/google-research-datasets/poem-sentiment)
- **Paper:** [Investigating Societal Biases in a Poetry Composition System](https://arxiv.org/abs/2011.02686)
- **Leaderboard:** N/A
- **Point of Contact:** -

### Dataset Summary

Poem Sentiment is a sentiment dataset of poem verses from Project Gutenberg.
This dataset can be used for tasks such as sentiment classification or style transfer for poems.

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

The text in the dataset is in English (`en`).

## Dataset Structure

### Data Instances
Example of one instance in the dataset.

```{'id': 0, 'label': 2, 'verse_text': 'with pale blue berries. in these peaceful shades--'}```

### Data Fields

- `id`: index of the example
- `verse_text`: The text of the poem verse
- `label`: The sentiment label. Here
- 0 = negative
- 1 = positive
- 2 = no impact
- 3 = mixed (both negative and positive)
> Note: The original dataset uses different label indices (negative = -1, no impact = 0, positive = 1)

### Data Splits

The dataset is split into a `train`, `validation`, and `test` split with the following sizes:

| | train | validation | test |
|--------------------|------:|-----------:|-----:|
| Number of examples | 892 | 105 | 104 |

[More Information Needed]
## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

[More Information Needed]

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

[More Information Needed]

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

This work is licensed under a Creative Commons Attribution 4.0 International License

### Citation Information

```
@misc{sheng2020investigating,
title={Investigating Societal Biases in a Poetry Composition System},
author={Emily Sheng and David Uthus},
year={2020},
eprint={2011.02686},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```

### Contributions

Thanks to [@patil-suraj](https://github.com/patil-suraj) for adding this dataset.

# 古腾堡诗歌数据集卡片（Gutenberg Poem Dataset）

## 目录
- [数据集描述](#数据集描述)
- [数据集概述](#数据集概述)
- [支持任务与排行榜](#支持任务与排行榜)
- [语言](#语言)
- [数据集结构](#数据集结构)
- [数据实例](#数据实例)
- [数据字段](#数据字段)
- [数据划分](#数据划分)
- [数据集构建](#数据集构建)
- [构建初衷](#构建初衷)
- [源数据](#源数据)
- [标注信息](#标注信息)
- [个人与敏感信息](#个人与敏感信息)
- [数据集使用注意事项](#数据集使用注意事项)
- [数据集的社会影响](#数据集的社会影响)
- [偏差讨论](#偏差讨论)
- [其他已知局限性](#其他已知局限性)
- [附加信息](#附加信息)
- [数据集策展人](#数据集策展人)
- [授权信息](#授权信息)
- [引用信息](#引用信息)
- [贡献](#贡献)

## 数据集描述

- **主页**：无
- **代码仓库**：[GitHub](https://github.com/google-research-datasets/poem-sentiment)
- **相关论文**：[探究诗歌创作系统中的社会偏见](https://arxiv.org/abs/2011.02686)
- **排行榜**：无
- **联系人**：无

### 数据集概述

诗歌情感数据集（Poem Sentiment Dataset）是来自古腾堡计划（Project Gutenberg）的诗歌诗句情感数据集。该数据集可用于诗歌情感分类、风格迁移等相关任务。

### 支持任务与排行榜

[需补充更多信息]

### 语言

数据集内文本语言为英语（`en`）。

## 数据集结构

### 数据实例

数据集单条样本示例如下：
{'id': 0, 'label': 2, 'verse_text': 'with pale blue berries. in these peaceful shades--'}

### 数据字段

- `id`：样本索引
- `verse_text`：诗歌诗句文本
- `label`：情感标签，对应关系如下：
- 0 = 消极（negative）
- 1 = 积极（positive）
- 2 = 无情感倾向（no impact）
- 3 = 混合情感（mixed，同时包含消极与积极情感）

> 注意：原始数据集使用了不同的标签索引规则：消极 = -1，无情感倾向 = 0，积极 = 1。

### 数据划分

数据集划分为训练集（train）、验证集（validation）与测试集（test），各集合样本量如下：

| | 训练集 | 验证集 | 测试集 |
|--------------------|------:|-----------:|-----:|
| 样本数量 | 892 | 105 | 104 |

[需补充更多信息]

## 数据集构建

### 构建初衷

[需补充更多信息]

### 源数据

[需补充更多信息]

#### 初始数据收集与标准化

[需补充更多信息]

#### 源语言创作者是谁？

[需补充更多信息]

### 标注信息

[需补充更多信息]

#### 标注流程

[需补充更多信息]

#### 标注人员是谁？

[需补充更多信息]

### 个人与敏感信息

[需补充更多信息]

## 数据集使用注意事项

### 数据集的社会影响

[需补充更多信息]

### 偏差讨论

[需补充更多信息]

### 其他已知局限性

[需补充更多信息]

## 附加信息

### 数据集策展人

[需补充更多信息]

### 授权信息

本作品采用知识共享署名4.0国际许可协议（Creative Commons Attribution 4.0 International License）进行授权。

### 引用信息

@misc{sheng2020investigating,
title={探究诗歌创作系统中的社会偏见},
author={Emily Sheng and David Uthus},
year={2020},
eprint={2011.02686},
archivePrefix={arXiv},
primaryClass={cs.CL}
}

### 贡献

感谢 [@patil-suraj](https://github.com/patil-suraj) 为本数据集的收录提供支持。