README.md

metadata

annotations_creators:
  - found
language:
  - en
language_creators:
  - found
license:
  - unknown
multilinguality:
  - monolingual
pretty_name: 20 Newsgroups
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - multi-class-classification
paperswithcode_id: 20-newsgroups
dataset_info:
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    features:
      - name: text
        dtype: string
    splits:
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        num_examples: 799
    download_size: 14666916
    dataset_size: 1669511
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      - name: text
        dtype: string
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        num_examples: 973
    download_size: 14666916
    dataset_size: 1661199
  - config_name: 18828_comp.os.ms-windows.misc
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      - name: text
        dtype: string
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        num_examples: 985
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    dataset_size: 2378739
  - config_name: 18828_comp.sys.ibm.pc.hardware
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      - name: text
        dtype: string
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        num_examples: 982
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    dataset_size: 1185187
  - config_name: 18828_comp.sys.mac.hardware
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        dtype: string
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        dtype: string
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    dataset_size: 925124
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        dtype: string
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    dataset_size: 1295307
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    dataset_size: 1206491
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      - name: text
        dtype: string
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    dataset_size: 1369551
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  - config_name: 18828_sci.crypt
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    dataset_size: 2050727
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    dataset_size: 1237175
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    dataset_size: 1812803
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    dataset_size: 2307486
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    dataset_size: 1922992
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    dataset_size: 2910324
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  - config_name: 19997_rec.sport.baseball
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  - config_name: 19997_sci.crypt
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  - config_name: 19997_sci.electronics
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    dataset_size: 1732199
  - config_name: 19997_sci.med
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        num_examples: 1000
    download_size: 17332201
    dataset_size: 2351411
  - config_name: 19997_soc.religion.christian
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    download_size: 17332201
    dataset_size: 2743018
  - config_name: 19997_talk.politics.guns
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    download_size: 17332201
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  - config_name: 19997_talk.politics.mideast
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  - config_name: bydate_alt.atheism
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  - config_name: bydate_comp.windows.x
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  - config_name: bydate_misc.forsale
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  - config_name: bydate_rec.autos
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      - name: test
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Dataset Card for "newsgroup"

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: http://qwone.com/~jason/20Newsgroups/
• Repository: More Information Needed
• Paper: NewsWeeder: Learning to Filter Netnews
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 929.27 MB
• Size of the generated dataset: 124.41 MB
• Total amount of disk used: 1.05 GB

Dataset Summary

The 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across 20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: Learning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become a popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.

does not include cross-posts and includes only the "From" and "Subject" headers.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

18828_alt.atheism

• Size of downloaded dataset files: 14.67 MB
• Size of the generated dataset: 1.67 MB
• Total amount of disk used: 16.34 MB

An example of 'train' looks as follows.

18828_comp.graphics

• Size of downloaded dataset files: 14.67 MB
• Size of the generated dataset: 1.66 MB
• Total amount of disk used: 16.33 MB

An example of 'train' looks as follows.

18828_comp.os.ms-windows.misc

• Size of downloaded dataset files: 14.67 MB
• Size of the generated dataset: 2.38 MB
• Total amount of disk used: 17.05 MB

An example of 'train' looks as follows.

18828_comp.sys.ibm.pc.hardware

• Size of downloaded dataset files: 14.67 MB
• Size of the generated dataset: 1.18 MB
• Total amount of disk used: 15.85 MB

An example of 'train' looks as follows.

18828_comp.sys.mac.hardware

• Size of downloaded dataset files: 14.67 MB
• Size of the generated dataset: 1.06 MB
• Total amount of disk used: 15.73 MB

An example of 'train' looks as follows.

Data Fields

The data fields are the same among all splits.

18828_alt.atheism

• text: a string feature.

18828_comp.graphics

• text: a string feature.

18828_comp.os.ms-windows.misc

• text: a string feature.

18828_comp.sys.ibm.pc.hardware

• text: a string feature.

18828_comp.sys.mac.hardware

• text: a string feature.

Data Splits

name	train
18828_alt.atheism	799
18828_comp.graphics	973
18828_comp.os.ms-windows.misc	985
18828_comp.sys.ibm.pc.hardware	982
18828_comp.sys.mac.hardware	961

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

@incollection{LANG1995331,
title = {NewsWeeder: Learning to Filter Netnews},
editor = {Armand Prieditis and Stuart Russell},
booktitle = {Machine Learning Proceedings 1995},
publisher = {Morgan Kaufmann},
address = {San Francisco (CA)},
pages = {331-339},
year = {1995},
isbn = {978-1-55860-377-6},
doi = {https://doi.org/10.1016/B978-1-55860-377-6.50048-7},
url = {https://www.sciencedirect.com/science/article/pii/B9781558603776500487},
author = {Ken Lang},
}

Contributions

Thanks to @mariamabarham, @thomwolf, @lhoestq for adding this dataset.