annotations_creators: []
language:
- en
language_creators:
- other
license: []
multilinguality:
- monolingual
pretty_name: Weakly supervised AG News Dataset
size_categories:
- 1K<n<10K
source_datasets:
- extended|ag_news
tags: []
task_categories:
- text-classification
task_ids:
- multi-class-classification
Dataset Card for Weakly supervised AG News Dataset
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
Dataset Summary
AG is a collection of more than 1 million news articles. News articles have been gathered from more than 2000 news sources by ComeToMyHead in more than 1 year of activity. ComeToMyHead is an academic news search engine which has been running since July, 2004. The dataset is provided by the academic comunity for research purposes in data mining (clustering, classification, etc), information retrieval (ranking, search, etc), xml, data compression, data streaming, and any other non-commercial activity. For more information, please refer to the link http://www.di.unipi.it/~gulli/AG_corpus_of_news_articles.html .
The Weakly supervised AG News Dataset was created by Team 44 of FSDL 2022 course with the only purpose of experimenting with weak supervision techniques. It was assumed that only the labels of the original test set and 20% of the training set were available. The labels in the training set were obtained by creating weak labels with LFs and denoising them with Snorkel's label model.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
English
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
text: a string feature label: a classification label, with possible values including World (0), Sports (1), Business (2), Sci/Tech (3).
Data Splits
- Training set with probabilistic labels from weak supervision: 37340
- Unlabeled data: 58660
- Validation set: 24000
- Test set: 7600
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
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 Xiang Zhang (xiang.zhang@nyu.edu) for adding this dataset to the HF Dataset Hub.