kavgan/opinosis

--- annotations_creators: - crowdsourced language: - en language_creators: - found license: - apache-2.0 multilinguality: - monolingual pretty_name: Opinosis size_categories: - n<1K source_datasets: - original task_categories: - summarization task_ids: [] paperswithcode_id: opinosis tags: - abstractive-summarization dataset_info: features: - name: review_sents dtype: string - name: summaries sequence: string splits: - name: train num_bytes: 741270 num_examples: 51 download_size: 757398 dataset_size: 741270 --- # Dataset Card for "opinosis" ## 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:** http://kavita-ganesan.com/opinosis-opinion-dataset/ - **Repository:** https://github.com/kavgan/opinosis-summarization - **Paper:** [Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions](https://aclanthology.org/C10-1039/) - **Point of Contact:** [Kavita Ganesan](mailto:[e-mail]) - **Size of downloaded dataset files:** 0.75 MB - **Size of the generated dataset:** 0.74 MB - **Total amount of disk used:** 1.50 MB ### Dataset Summary The Opinosis Opinion Dataset consists of sentences extracted from reviews for 51 topics. Topics and opinions are obtained from Tripadvisor, Edmunds.com and Amazon.com. ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Dataset Structure ### Data Instances #### default - **Size of downloaded dataset files:** 0.75 MB - **Size of the generated dataset:** 0.74 MB - **Total amount of disk used:** 1.50 MB An example of 'train' looks as follows. ``` { "review_sents": "This is a fake topic. \nThe topics have multiple sentence inputs. \n", "summaries": ["This is a gold summary for topic 1. \nSentences in gold summaries are separated by newlines.", "This is another gold summary for topic 1. \nSentences in gold summaries are separated by newlines."] } ``` ### Data Fields The data fields are the same among all splits. #### default - `review_sents`: a `string` feature. - `summaries`: a `list` of `string` features. ### Data Splits | name |train| |-------|----:| |default| 51| ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information The license for this dataset is Apache License 2.0 and can be found [here](https://github.com/kavgan/opinosis-summarization/blob/master/LICENSE). ### Citation Information ``` @inproceedings{ganesan2010opinosis, title={Opinosis: a graph-based approach to abstractive summarization of highly redundant opinions}, author={Ganesan, Kavita and Zhai, ChengXiang and Han, Jiawei}, booktitle={Proceedings of the 23rd International Conference on Computational Linguistics}, pages={340--348}, year={2010}, organization={Association for Computational Linguistics} } ``` ### Contributions Thanks to [@thomwolf](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.annotations_creators: - 众包标注（crowdsourced） language: - 英语（en） language_creators: - 公开获取（found） license: - Apache 2.0协议 multilinguality: - 单语言数据集（monolingual） pretty_name: Opinosis size_categories: - 样本量小于1000（n<1K） source_datasets: - 原始数据集（original） task_categories: - 文本摘要（summarization） task_ids: [] paperswithcode_id: opinosis tags: - 摘要式总结（abstractive-summarization） dataset_info: features: - name: 评论语句（review_sents） dtype: 字符串（string） - name: 摘要集（summaries） sequence: 字符串（string） splits: - name: 训练集（train） num_bytes: 741270 num_examples: 51 download_size: 757398 dataset_size: 741270 # Opinosis数据集卡片 ## 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) - [遴选依据](#curation-rationale) - [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) - [数据集管护者](#数据集管护者) - [许可信息](#许可信息) - [引用信息](#引用信息) - [贡献者](#贡献者) ## 数据集描述 - **主页**：http://kavita-ganesan.com/opinosis-opinion-dataset/ - **代码仓库**：https://github.com/kavgan/opinosis-summarization - **相关论文**：[Opinosis：面向高度冗余观点的摘要式总结（abstractive summarization）的图方法](https://aclanthology.org/C10-1039/) - **联系人**：[Kavita Ganesan](mailto:[e-mail]) - **下载数据集大小**：0.75 MB - **生成数据集大小**：0.74 MB - **总磁盘占用**：1.50 MB ### 数据集概述 Opinosis观点数据集包含从51个主题的评论中提取的语句。这些主题与观点来源于Tripadvisor、Edmunds.com以及亚马逊（Amazon.com）平台。 ### 支持任务与排行榜 [更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### 语言 [更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## 数据集结构 ### 数据实例 #### 默认划分 - **下载数据集大小**：0.75 MB - **生成数据集大小**：0.74 MB - **总磁盘占用**：1.50 MB 训练集的一个示例如下： { "review_sents": "这是一个模拟主题。 该主题包含多条输入语句。 ", "summaries": ["这是主题1的黄金参考摘要。 黄金参考摘要中的语句以换行符分隔。", "这是主题1的另一篇黄金参考摘要。 黄金参考摘要中的语句以换行符分隔。"] } ### 数据字段 所有数据划分下的字段均保持一致。 #### 默认划分 - `review_sents`：字符串类型（string）特征。 - `summaries`：字符串列表类型特征。 ### 数据划分 | 数据集划分 | 样本数量 | | :------- | ------: | | 训练集 | 51 | ## 数据集构建 ### 遴选依据 [更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### 源数据 #### 初始数据收集与标准化 [更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### 源语言生产者是谁？ [更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### 标注信息 #### 标注流程 [更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### 标注者是谁？ [更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### 个人与敏感信息 [更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## 数据集使用注意事项 ### 数据集的社会影响 [更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### 偏差讨论 [更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### 其他已知局限性 [更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## 附加信息 ### 数据集管护者 [更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### 许可信息 本数据集采用Apache 2.0许可协议，详情可参见[此处](https://github.com/kavgan/opinosis-summarization/blob/master/LICENSE)。 ### 引用信息 @inproceedings{ganesan2010opinosis, title={Opinosis: 面向高度冗余观点的摘要式总结（abstractive summarization）的图方法}, author={Ganesan, Kavita and Zhai, ChengXiang and Han, Jiawei}, booktitle={第23届国际计算语言学大会论文集}, pages={340--348}, year={2010}, organization={国际计算语言学协会} } ### 贡献者 感谢 [@thomwolf](https://github.com/thomwolf)、[@patrickvonplaten](https://github.com/patrickvonplaten) 为本数据集的收录提供支持。

原始信息汇总

数据集概述：Opinosis

数据集基本信息

• 名称: Opinosis
• 语言: 英语（en）
• 许可证: Apache-2.0
• 多语言性: 单语种
• 数据集大小: 小于1KB
• 源数据: 原始数据
• 任务类别: 摘要生成
• 标签: 抽象摘要

数据集结构

• 特征:
  • review_sents: 字符串类型，表示评论句子。
  • summaries: 序列类型，字符串列表，表示摘要。
• 数据分割:
  • train: 包含51个样本，总字节数为741270。
• 下载大小: 757398字节
• 数据集大小: 741270字节

数据集创建

• 注释创建者: 众包

• 许可证信息: Apache License 2.0，详情见此处。

• 引用信息:

  @inproceedings{ganesan2010opinosis, title={Opinosis: a graph-based approach to abstractive summarization of highly redundant opinions}, author={Ganesan, Kavita and Zhai, ChengXiang and Han, Jiawei}, booktitle={Proceedings of the 23rd International Conference on Computational Linguistics}, pages={340--348}, year={2010}, organization={Association for Computational Linguistics} }