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---
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"
## 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://kdd.ics.uci.edu/databases/reuters21578/reuters21578.html](https://kdd.ics.uci.edu/databases/reuters21578/reuters21578.html)
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **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:** 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](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
#### 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 <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 <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](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
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### 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](https://github.com/jplu), [@jbragg](https://github.com/jbragg), [@thomwolf](https://github.com/thomwolf), [@mariamabarham](https://github.com/mariamabarham), [@lhoestq](https://github.com/lhoestq) for adding this dataset. |