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annotations_creators: - no-annotation language_creators: - found languages: - en licenses: - unknown multilinguality: - monolingual size_categories: - 10k<n<40k source_datasets: - original task_categories: - conditional-text-generation task_ids: - summarization pretty_name: GonzaloA / Fake News

Dataset Card for [Fake_News_TFG]

Table of Contents

Dataset Description

  • Homepage:
  • Repository: [GonzaloA / Fake_News_TFG Dataset repository]
  • Paper: [Título del TFG]
  • Leaderboard:
  • Point of Contact: Gonzalo Álvarez Hervás

Dataset Summary

The GonzaloA / Fake_News_TFG Dataset repository is an English-language dataset containing just over 45k unique news articles. This articles are classified as true (1) or false (0). The current version is the first of the study the Fake News identification using Transformers models.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

The dataset is code for English as generally spoken in the United States is en-US

Dataset Structure

Data Instances

For each instance, there is a string for the title, a string for the article and a label to mark if it's true or false. See the CNN / Daily Mail dataset viewer to explore more examples.

{'id': '1',
'title': Palestinians switch off Christmas lights in Bethlehem in anti-Trump protest'
'text': 'RAMALLAH, West Bank (Reuters) - Palestinians switched off Christmas lights at Jesus  traditional birthplace in Bethlehem on Wednesday night in protest at U.S. President Donald Trump s decision to recognize Jerusalem as Israel s capital. A Christmas tree adorned with lights outside Bethlehem s Church of the Nativity, where Christians believe Jesus was born, and another in Ramallah, next to the burial site of former Palestinian leader Yasser Arafat, were plunged into darkness.  The Christmas tree was switched off on the order of the mayor today in protest at Trump s decision,  said Fady Ghattas, Bethlehem s municipal media officer.  He said it was unclear whether the illuminations would be turned on again before the main Christmas festivities. In a speech in Washington, Trump said he had decided to recognize Jerusalem as Israel s capital and move the U.S. embassy to the city. Israeli Prime Minister Benjamin Netanyahu said Trump s move  marked the beginning of a new approach to the Israeli-Palestinian conflict and said it was an  historic landmark . Arabs and Muslims across the Middle East condemned the U.S. decision, calling it an incendiary move in a volatile region and the European Union and United Nations also voiced alarm at the possible repercussions for any chances of reviving Israeli-Palestinian peacemaking.'
'label': '1'}

Data Fields

  • id: an integer value to count the rows in the dataset
  • title: a string that summarize the article
  • text: a string that contains the article
  • label: a boolean that mark the article true or false

Data Splits

The GonzaloA/FakeNews dataset has 3 splits: train, evaluation, and test. Below are the statistics for the version 1.0 of the dataset:

Dataset Split Number of Instances in Split
Train 24,353
Validation 8,117
Test 8,117

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

Version 1.0.0 aimed to support supervised neural methodologies for deep learning and study the new Transformers models in the Natural Language Processing with News of the United States.

Who are the source language producers?

[More Information Needed]

Annotations

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

[More Information Needed]

Citation Information

[More Information Needed]

Contributions

Thanks to @github-username for adding this dataset.