metadata

pretty_name: Reuters-21578 Text Categorization Collection
language:
  - en
paperswithcode_id: reuters-21578
dataset_info:
  - config_name: ModHayes
    features:
      - name: text
        dtype: string
      - name: text_type
        dtype: string
      - name: topics
        sequence: string
      - name: lewis_split
        dtype: string
      - name: cgis_split
        dtype: string
      - name: old_id
        dtype: string
      - name: new_id
        dtype: string
      - name: places
        sequence: string
      - name: people
        sequence: string
      - name: orgs
        sequence: string
      - name: exchanges
        sequence: string
      - name: date
        dtype: string
      - name: title
        dtype: string
    splits:
      - name: test
        num_bytes: 948316
        num_examples: 722
      - name: train
        num_bytes: 19071322
        num_examples: 20856
    download_size: 8150596
    dataset_size: 20019638
  - config_name: ModLewis
    features:
      - name: text
        dtype: string
      - name: text_type
        dtype: string
      - name: topics
        sequence: string
      - name: lewis_split
        dtype: string
      - name: cgis_split
        dtype: string
      - name: old_id
        dtype: string
      - name: new_id
        dtype: string
      - name: places
        sequence: string
      - name: people
        sequence: string
      - name: orgs
        sequence: string
      - name: exchanges
        sequence: string
      - name: date
        dtype: string
      - name: title
        dtype: string
    splits:
      - name: test
        num_bytes: 5400578
        num_examples: 6188
      - name: train
        num_bytes: 12994735
        num_examples: 13625
      - name: unused
        num_bytes: 948316
        num_examples: 722
    download_size: 8150596
    dataset_size: 19343629
  - config_name: ModApte
    features:
      - name: text
        dtype: string
      - name: text_type
        dtype: string
      - name: topics
        sequence: string
      - name: lewis_split
        dtype: string
      - name: cgis_split
        dtype: string
      - name: old_id
        dtype: string
      - name: new_id
        dtype: string
      - name: places
        sequence: string
      - name: people
        sequence: string
      - name: orgs
        sequence: string
      - name: exchanges
        sequence: string
      - name: date
        dtype: string
      - name: title
        dtype: string
    splits:
      - name: test
        num_bytes: 2971725
        num_examples: 3299
      - name: train
        num_bytes: 9161251
        num_examples: 9603
      - name: unused
        num_bytes: 948316
        num_examples: 722
    download_size: 8150596
    dataset_size: 13081292

Dataset Card for "reuters21578"

Dataset Description
Dataset Structure
Dataset Creation
Considerations for Using the Data
Additional Information

Dataset Description

Homepage: https://kdd.ics.uci.edu/databases/reuters21578/reuters21578.html
Repository: More Information Needed
Paper: More Information Needed
Point of Contact: More Information Needed
Size of downloaded dataset files: 24.45 MB
Size of the generated dataset: 52.22 MB
Total amount of disk used: 76.67 MB

Dataset Summary

The Reuters-21578 dataset is one of the most widely used data collections for text categorization research. It is collected from the Reuters financial newswire service in 1987.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

ModApte

Size of downloaded dataset files: 8.15 MB
Size of the generated dataset: 13.05 MB
Total amount of disk used: 21.21 MB

An example of 'train' looks as follows.

This example was too long and was cropped:

{
    "cgis_split": "\"TRAINING-SET\"",
    "date": "19-MAR-1987 06:17:22.36",
    "exchanges": [],
    "lewis_split": "\"TRAIN\"",
    "new_id": "\"7001\"",
    "old_id": "\"11914\"",
    "orgs": [],
    "people": [],
    "places": ["australia"],
    "text": "\"Media group John Fairfax Ltd &lt;FFXA.S>\\nsaid that its flat first half net profit partly reflected the\\nimpact of changes in t...",
    "title": "FAIRFAX SAYS HIGHER TAX HITS FIRST HALF EARNINGS",
    "topics": ["earn"]
}

ModHayes

Size of downloaded dataset files: 8.15 MB
Size of the generated dataset: 19.79 MB
Total amount of disk used: 27.93 MB

An example of 'train' looks as follows.

This example was too long and was cropped:

{
    "cgis_split": "\"TRAINING-SET\"",
    "date": "19-OCT-1987 23:49:31.45",
    "exchanges": [],
    "lewis_split": "\"TEST\"",
    "new_id": "\"20001\"",
    "old_id": "\"20596\"",
    "orgs": [],
    "people": [],
    "places": ["japan", "usa"],
    "text": "\"If the dollar goes the way of Wall Street,\\nJapanese will finally move out of dollar investments in a\\nserious way, Japan inves...",
    "title": "IF DOLLAR FOLLOWS WALL STREET JAPANESE WILL DIVEST",
    "topics": ["money-fx"]
}

ModLewis

Size of downloaded dataset files: 8.15 MB
Size of the generated dataset: 19.38 MB
Total amount of disk used: 27.54 MB

An example of 'train' looks as follows.

This example was too long and was cropped:

{
    "cgis_split": "\"TRAINING-SET\"",
    "date": "19-MAR-1987 06:17:22.36",
    "exchanges": [],
    "lewis_split": "\"TRAIN\"",
    "new_id": "\"7001\"",
    "old_id": "\"11914\"",
    "orgs": [],
    "people": [],
    "places": ["australia"],
    "text": "\"Media group John Fairfax Ltd &lt;FFXA.S>\\nsaid that its flat first half net profit partly reflected the\\nimpact of changes in t...",
    "title": "FAIRFAX SAYS HIGHER TAX HITS FIRST HALF EARNINGS",
    "topics": ["earn"]
}

Data Fields

The data fields are the same among all splits.

ModApte

text: a string feature.
topics: a list of string features.
lewis_split: a string feature.
cgis_split: a string feature.
old_id: a string feature.
new_id: a string feature.
places: a list of string features.
people: a list of string features.
orgs: a list of string features.
exchanges: a list of string features.
date: a string feature.
title: a string feature.

ModHayes

text: a string feature.
topics: a list of string features.
lewis_split: a string feature.
cgis_split: a string feature.
old_id: a string feature.
new_id: a string feature.
places: a list of string features.
people: a list of string features.
orgs: a list of string features.
exchanges: a list of string features.
date: a string feature.
title: a string feature.

ModLewis

text: a string feature.
topics: a list of string features.
lewis_split: a string feature.
cgis_split: a string feature.
old_id: a string feature.
new_id: a string feature.
places: a list of string features.
people: a list of string features.
orgs: a list of string features.
exchanges: a list of string features.
date: a string feature.
title: a string feature.

Data Splits

ModApte

	train	unused	test
ModApte	8762	720	3009

ModHayes

	train	test
ModHayes	18323	720

ModLewis

	train	unused	test
ModLewis	12449	720	5458

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

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

@article{APTE94,
author = {Chidanand Apt{'{e}} and Fred Damerau and Sholom M. Weiss},
title = {Automated Learning of Decision Rules for Text Categorization},
journal = {ACM Transactions on Information Systems},
year = {1994},
note = {To appear.}
}

@inproceedings{APTE94b,
author = {Chidanand Apt{'{e}} and Fred Damerau and Sholom M. Weiss},
title = {Toward Language Independent Automated Learning of Text Categorization Models},
booktitle = {sigir94},
year = {1994},
note = {To appear.}
}

@inproceedings{HAYES8},
author = {Philip J. Hayes and Peggy M. Anderson and Irene B. Nirenburg and
Linda M. Schmandt},
title = {{TCS}: A Shell for Content-Based Text Categorization},
booktitle = {IEEE Conference on Artificial Intelligence Applications},
year = {1990}
}

@inproceedings{HAYES90b,
author = {Philip J. Hayes and Steven P. Weinstein},
title = {{CONSTRUE/TIS:} A System for Content-Based Indexing of a
Database of News Stories},
booktitle = {Second Annual Conference on Innovative Applications of
Artificial Intelligence},
year = {1990}
}

@incollection{HAYES92 ,
author = {Philip J. Hayes},
title = {Intelligent High-Volume Text Processing using Shallow,
Domain-Specific Techniques},
booktitle = {Text-Based Intelligent Systems},
publisher = {Lawrence Erlbaum},
address =  {Hillsdale, NJ},
year = {1992},
editor = {Paul S. Jacobs}
}

@inproceedings{LEWIS91c ,
author = {David D. Lewis},
title = {Evaluating Text Categorization},
booktitle = {Proceedings of Speech and Natural Language Workshop},
year = {1991},
month = {feb},
organization = {Defense Advanced Research Projects Agency},
publisher = {Morgan Kaufmann},
pages = {312--318}

}

@phdthesis{LEWIS91d,
author = {David Dolan Lewis},
title = {Representation and Learning in Information Retrieval},
school = {Computer Science Dept.; Univ. of Massachusetts; Amherst, MA 01003},
year = 1992},
note = {Technical Report 91--93.}
}

@inproceedings{LEWIS91e,
author = {David D. Lewis},
title = {Data Extraction as Text Categorization: An Experiment with
the {MUC-3} Corpus},
booktitle = {Proceedings of the Third Message Understanding Evaluation
and Conference},
year = {1991},
month = {may},
organization = {Defense Advanced Research Projects Agency},
publisher = {Morgan Kaufmann},
address = {Los Altos, CA}

}

@inproceedings{LEWIS92b,
author = {David D. Lewis},
title = {An Evaluation of Phrasal and Clustered Representations on a Text
Categorization Task},
booktitle = {Fifteenth Annual International ACM SIGIR Conference on
Research and Development in Information Retrieval},
year = {1992},
pages = {37--50}
}

@inproceedings{LEWIS92d ,
author = {David D. Lewis and Richard M. Tong},
title = {Text Filtering in {MUC-3} and {MUC-4}},
booktitle = {Proceedings of the Fourth Message Understanding Conference ({MUC-4})},
year = {1992},
month = {jun},
organization = {Defense Advanced Research Projects Agency},
publisher = {Morgan Kaufmann},
address = {Los Altos, CA}
}

@inproceedings{LEWIS92e,
author = {David D. Lewis},
title = {Feature Selection and Feature Extraction for Text Categorization},
booktitle = {Proceedings of Speech and Natural Language Workshop},
year = {1992},
month = {feb} ,
organization = {Defense Advanced Research Projects Agency},
publisher = {Morgan Kaufmann},
pages = {212--217}
}

@inproceedings{LEWIS94b,
author = {David D. Lewis and Marc Ringuette},
title = {A Comparison of Two Learning Algorithms for Text Categorization},
booktitle = {Symposium on Document Analysis and Information Retrieval},
year = {1994},
organization = {ISRI; Univ. of Nevada, Las Vegas},
address = {Las Vegas, NV},
month = {apr},
pages = {81--93}
}

@article{LEWIS94d,
author = {David D. Lewis and Philip J. Hayes},
title = {Guest Editorial},
journal = {ACM Transactions on Information Systems},
year = {1994},
volume  = {12},
number  = {3},
pages = {231},
month = {jul}
}

@article{SPARCKJONES76,
author = {K. {Sparck Jones} and  C. J. {van Rijsbergen}},
title =  {Information Retrieval Test Collections},
journal = {Journal of Documentation},
year = {1976},
volume = {32},
number = {1},
pages = {59--75}
}

@book{WEISS91,
author = {Sholom M. Weiss and Casimir A. Kulikowski},
title = {Computer Systems That Learn},
publisher = {Morgan Kaufmann},
year = {1991},
address = {San Mateo, CA}
}

Contributions

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

Datasets:

ucirvine
/

reuters21578

Dataset Card for "reuters21578"

Table of Contents

Dataset Description

Dataset Summary

Supported Tasks and Leaderboards

Languages

Dataset Structure

Data Instances

ModApte

ModHayes

ModLewis

Data Fields

ModApte

ModHayes

ModLewis

Data Splits

ModApte

ModHayes

ModLewis

Dataset Creation

Curation Rationale

Source Data

Initial Data Collection and Normalization

Who are the source language producers?

Annotations

Annotation process

Who are the annotators?

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