--- language: - en license: other paperswithcode_id: reuters-21578 pretty_name: Reuters-21578 Text Categorization Collection dataset_info: - 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: 2971653 num_examples: 3299 - name: train num_bytes: 9161179 num_examples: 9603 - name: unused num_bytes: 948244 num_examples: 722 download_size: 8150596 dataset_size: 13081076 - 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: 948244 num_examples: 722 - name: train num_bytes: 19071106 num_examples: 20856 download_size: 8150596 dataset_size: 20019350 - 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: 5400506 num_examples: 6188 - name: train num_bytes: 12994591 num_examples: 13625 - name: unused num_bytes: 948244 num_examples: 722 download_size: 8150596 dataset_size: 19343341 --- # 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://archive.ics.uci.edu/dataset/137/reuters+21578+text+categorization+collection - **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 According to the dataset website (https://archive.ics.uci.edu/dataset/137/reuters+21578+text+categorization+collection), this dataset is licensed under [Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/legalcode) (C BY 4.0) license. However, the source data file contains a `README.txt` file with the following information under the **Copyright & Notification** section: > The copyright for the text of newswire articles and Reuters annotations in the Reuters-21578 collection resides with Reuters Ltd. Reuters Ltd. and Carnegie Group, Inc. have agreed to allow the free distribution of this data *for research purposes only*. > If you publish results based on this data set, please acknowledge its use, refer to the data set by the name "Reuters-21578, Distribution 1.0", and inform your readers of the current location of the data set (see "Availability & Questions"). ### 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.