albertvillanova
HF staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#2)
e990675
annotations_creators: | |
- crowdsourced | |
- expert-generated | |
language_creators: | |
- found | |
language: | |
- en | |
license: | |
- cc-by-4.0 | |
multilinguality: | |
- monolingual | |
size_categories: | |
- 1M<n<10M | |
source_datasets: | |
- original | |
task_categories: | |
- text-classification | |
task_ids: [] | |
pretty_name: HyperpartisanNewsDetection | |
tags: | |
- bias-classification | |
dataset_info: | |
- config_name: byarticle | |
features: | |
- name: text | |
dtype: string | |
- name: title | |
dtype: string | |
- name: hyperpartisan | |
dtype: bool | |
- name: url | |
dtype: string | |
- name: published_at | |
dtype: string | |
splits: | |
- name: train | |
num_bytes: 2803943 | |
num_examples: 645 | |
download_size: 1000352 | |
dataset_size: 2803943 | |
- config_name: bypublisher | |
features: | |
- name: text | |
dtype: string | |
- name: title | |
dtype: string | |
- name: hyperpartisan | |
dtype: bool | |
- name: url | |
dtype: string | |
- name: published_at | |
dtype: string | |
- name: bias | |
dtype: | |
class_label: | |
names: | |
'0': right | |
'1': right-center | |
'2': least | |
'3': left-center | |
'4': left | |
splits: | |
- name: train | |
num_bytes: 2805711609 | |
num_examples: 600000 | |
- name: validation | |
num_bytes: 2805711609 | |
num_examples: 600000 | |
download_size: 1003195420 | |
dataset_size: 5611423218 | |
# Dataset Card for "hyperpartisan_news_detection" | |
## 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:** [https://pan.webis.de/semeval19/semeval19-web/](https://pan.webis.de/semeval19/semeval19-web/) | |
- **Repository:** https://github.com/pan-webis-de/pan-code/tree/master/semeval19 | |
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
- **Size of downloaded dataset files:** 1.00 GB | |
- **Size of the generated dataset:** 5.61 GB | |
- **Total amount of disk used:** 6.62 GB | |
### Dataset Summary | |
Hyperpartisan News Detection was a dataset created for PAN @ SemEval 2019 Task 4. | |
Given a news article text, decide whether it follows a hyperpartisan argumentation, i.e., whether it exhibits blind, prejudiced, or unreasoning allegiance to one party, faction, cause, or person. | |
There are 2 parts: | |
- byarticle: Labeled through crowdsourcing on an article basis. The data contains only articles for which a consensus among the crowdsourcing workers existed. | |
- bypublisher: Labeled by the overall bias of the publisher as provided by BuzzFeed journalists or MediaBiasFactCheck.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 | |
#### byarticle | |
- **Size of downloaded dataset files:** 1.00 MB | |
- **Size of the generated dataset:** 2.80 MB | |
- **Total amount of disk used:** 3.81 MB | |
An example of 'train' looks as follows. | |
``` | |
This example was too long and was cropped: | |
{ | |
"hyperpartisan": true, | |
"published_at": "2020-01-01", | |
"text": "\"<p>This is a sample article which will contain lots of text</p>\\n \\n<p>Lorem ipsum dolor sit amet, consectetur adipiscing el...", | |
"title": "Example article 1", | |
"url": "http://www.example.com/example1" | |
} | |
``` | |
#### bypublisher | |
- **Size of downloaded dataset files:** 1.00 GB | |
- **Size of the generated dataset:** 5.61 GB | |
- **Total amount of disk used:** 6.61 GB | |
An example of 'train' looks as follows. | |
``` | |
This example was too long and was cropped: | |
{ | |
"bias": 3, | |
"hyperpartisan": false, | |
"published_at": "2020-01-01", | |
"text": "\"<p>This is a sample article which will contain lots of text</p>\\n \\n<p>Phasellus bibendum porta nunc, id venenatis tortor fi...", | |
"title": "Example article 4", | |
"url": "https://example.com/example4" | |
} | |
``` | |
### Data Fields | |
The data fields are the same among all splits. | |
#### byarticle | |
- `text`: a `string` feature. | |
- `title`: a `string` feature. | |
- `hyperpartisan`: a `bool` feature. | |
- `url`: a `string` feature. | |
- `published_at`: a `string` feature. | |
#### bypublisher | |
- `text`: a `string` feature. | |
- `title`: a `string` feature. | |
- `hyperpartisan`: a `bool` feature. | |
- `url`: a `string` feature. | |
- `published_at`: a `string` feature. | |
- `bias`: a classification label, with possible values including `right` (0), `right-center` (1), `least` (2), `left-center` (3), `left` (4). | |
### Data Splits | |
#### byarticle | |
| |train| | |
|---------|----:| | |
|byarticle| 645| | |
#### bypublisher | |
| |train |validation| | |
|-----------|-----:|---------:| | |
|bypublisher|600000| 600000| | |
## 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 collection (including labels) are licensed under a [Creative Commons Attribution 4.0 International License](http://creativecommons.org/licenses/by/4.0/). | |
### Citation Information | |
``` | |
@article{kiesel2019data, | |
title={Data for pan at semeval 2019 task 4: Hyperpartisan news detection}, | |
author={Kiesel, Johannes and Mestre, Maria and Shukla, Rishabh and Vincent, Emmanuel and Corney, David and Adineh, Payam and Stein, Benno and Potthast, Martin}, | |
year={2019} | |
} | |
``` | |
### Contributions | |
Thanks to [@thomwolf](https://github.com/thomwolf), [@ghomasHudson](https://github.com/ghomasHudson) for adding this dataset. |