
# 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:kavita@opinosis.ai)
- **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.
task_categories:summarization annotations_creators:crowdsourced language_creators:found multilinguality:monolingual size_categories:n<1K source_datasets:original language:en license:apache-2.0 abstractive-summarization region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["summarization"], "task_ids": [], "paperswithcode_id": "opinosis", "pretty_name": "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}}
TAGS
#task_categories-summarization #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #license-apache-2.0 #abstractive-summarization #region-us 

Dataset Card for "opinosis"
===========================


Table of Contents
-----------------


* Dataset Description
	+ Dataset Summary
	+ Supported Tasks and Leaderboards
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits
* Dataset Creation
	+ Curation Rationale
	+ Source Data
	+ Annotations
	+ Personal and Sensitive Information
* Considerations for Using the Data
	+ Social Impact of Dataset
	+ Discussion of Biases
	+ Other Known Limitations
* Additional Information
	+ Dataset Curators
	+ Licensing Information
	+ Citation Information
	+ Contributions


Dataset Description
-------------------


* Homepage: URL
* Repository: URL
* Paper: Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions
* Point of Contact: Kavita Ganesan
* 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, URL and URL.


### Supported Tasks and Leaderboards


### Languages


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.


### 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



Dataset Creation
----------------


### Curation Rationale


### Source Data


#### Initial Data Collection and Normalization


#### Who are the source language producers?


### Annotations


#### Annotation process


#### Who are the annotators?


### Personal and Sensitive Information


Considerations for Using the Data
---------------------------------


### Social Impact of Dataset


### Discussion of Biases


### Other Known Limitations


Additional Information
----------------------


### Dataset Curators


### Licensing Information


The license for this dataset is Apache License 2.0 and can be found here.


### Contributions


Thanks to @thomwolf, @patrickvonplaten for adding this dataset.



### Dataset Summary


The Opinosis Opinion Dataset consists of sentences extracted from reviews for 51 topics.
Topics and opinions are obtained from Tripadvisor, URL and URL. ### Supported Tasks and Leaderboards ### Languages


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. ### 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



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information


The license for this dataset is Apache License 2.0 and can be found here. ### Contributions


Thanks to @thomwolf, @patrickvonplaten for adding this dataset.
TAGS
#task_categories-summarization #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #license-apache-2.0 #abstractive-summarization #region-us 
 ### Dataset Summary


The Opinosis Opinion Dataset consists of sentences extracted from reviews for 51 topics.
Topics and opinions are obtained from Tripadvisor, URL and URL. ### Supported Tasks and Leaderboards ### Languages


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. ### 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



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information


The license for this dataset is Apache License 2.0 and can be found here. ### Contributions


Thanks to @thomwolf, @patrickvonplaten for adding this dataset.