Datasets:
Tasks:
Summarization
Languages:
English
Multilinguality:
monolingual
Size Categories:
n<1K
Language Creators:
found
Annotations Creators:
crowdsourced
Source Datasets:
original
License:
albertvillanova
HF staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#1)
a726b32
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: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. |