Update files from the datasets library (from 1.3.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.3.0

README.md

@@ -0,0 +1,403 @@
+---
+---
+
+# Dataset Card for "reuters21578"
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits Sample Size](#data-splits-sample-size)
+- [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](#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:** 23.32 MB
+- **Size of the generated dataset:** 49.80 MB
+- **Total amount of disk used:** 73.12 MB
+
+### [Dataset Summary](#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](#supported-tasks)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Languages](#languages)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## [Dataset Structure](#dataset-structure)
+
+We show detailed information for up to 5 configurations of the dataset.
+
+### [Data Instances](#data-instances)
+
+#### ModApte
+
+- **Size of downloaded dataset files:** 7.77 MB
+- **Size of the generated dataset:** 12.45 MB
+- **Total amount of disk used:** 20.23 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:** 7.77 MB
+- **Size of the generated dataset:** 18.87 MB
+- **Total amount of disk used:** 26.64 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:** 7.77 MB
+- **Size of the generated dataset:** 18.48 MB
+- **Total amount of disk used:** 26.26 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](#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 Sample Size](#data-splits-sample-size)
+
+#### ModApte
+
+|       |train|unused|test|
+|-------|----:|-----:|---:|
+|ModApte| 8762|   720|3009|
+
+#### ModHayes
+
+|        |train|test|
+|--------|----:|---:|
+|ModHayes|18323| 720|
+
+#### ModLewis
+
+|        |train|unused|test|
+|--------|----:|-----:|---:|
+|ModLewis|12449|   720|5458|
+
+## [Dataset Creation](#dataset-creation)
+
+### [Curation Rationale](#curation-rationale)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Source Data](#source-data)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Annotations](#annotations)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Personal and Sensitive Information](#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](#considerations-for-using-the-data)
+
+### [Social Impact of Dataset](#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](#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](#other-known-limitations)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## [Additional Information](#additional-information)
+
+### [Dataset Curators](#dataset-curators)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Licensing Information](#licensing-information)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Citation Information](#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.

dataset_infos.json

@@ -1 +1 @@
-{"ModHayes": {"description": "The Reuters-21578 dataset  is one of the most widely used data collections for text\ncategorization research. It is collected from the Reuters financial newswire service in 1987.\n", "citation": "@article{APTE94,\nauthor = {Chidanand Apt{'{e}} and Fred Damerau and Sholom M. Weiss},\ntitle = {Automated Learning of Decision Rules for Text Categorization},\njournal = {ACM Transactions on Information Systems},\nyear = {1994},\nnote = {To appear.}\n}\n\n@inproceedings{APTE94b,\nauthor = {Chidanand Apt{'{e}} and Fred Damerau and Sholom M. Weiss},\ntitle = {Toward Language Independent Automated Learning of Text Categorization Models},\nbooktitle = {sigir94},\nyear = {1994},\nnote = {To appear.}\n}\n\n@inproceedings{HAYES8},\nauthor = {Philip J. Hayes and Peggy M. Anderson and Irene B. Nirenburg and\nLinda M. Schmandt},\ntitle = {{TCS}: A Shell for Content-Based Text Categorization},\nbooktitle = {IEEE Conference on Artificial Intelligence Applications},\nyear = {1990}\n}\n\n@inproceedings{HAYES90b,\nauthor = {Philip J. Hayes and Steven P. Weinstein},\ntitle = {{CONSTRUE/TIS:} A System for Content-Based Indexing of a\nDatabase of News Stories},\nbooktitle = {Second Annual Conference on Innovative Applications of\nArtificial Intelligence},\nyear = {1990}\n}\n\n@incollection{HAYES92 ,\nauthor = {Philip J. Hayes},\ntitle = {Intelligent High-Volume Text Processing using Shallow,\nDomain-Specific Techniques},\nbooktitle = {Text-Based Intelligent Systems},\npublisher = {Lawrence Erlbaum},\naddress =  {Hillsdale, NJ},\nyear = {1992},\neditor = {Paul S. Jacobs}\n}\n\n@inproceedings{LEWIS91c ,\nauthor = {David D. Lewis},\ntitle = {Evaluating Text Categorization},\nbooktitle = {Proceedings of Speech and Natural Language Workshop},\nyear = {1991},\nmonth = {feb},\norganization = {Defense Advanced Research Projects Agency},\npublisher = {Morgan Kaufmann},\npages = {312--318}\n\n}\n\n@phdthesis{LEWIS91d,\nauthor = {David Dolan Lewis},\ntitle = {Representation and Learning in Information Retrieval},\nschool = {Computer Science Dept.; Univ. of Massachusetts; Amherst, MA 01003},\nyear = 1992},\nnote = {Technical Report 91--93.}\n}\n\n@inproceedings{LEWIS91e,\nauthor = {David D. Lewis},\ntitle = {Data Extraction as Text Categorization: An Experiment with\nthe {MUC-3} Corpus},\nbooktitle = {Proceedings of the Third Message Understanding Evaluation\nand Conference},\nyear = {1991},\nmonth = {may},\norganization = {Defense Advanced Research Projects Agency},\npublisher = {Morgan Kaufmann},\naddress = {Los Altos, CA}\n\n}\n\n@inproceedings{LEWIS92b,\nauthor = {David D. Lewis},\ntitle = {An Evaluation of Phrasal and Clustered Representations on a Text\nCategorization Task},\nbooktitle = {Fifteenth Annual International ACM SIGIR Conference on\nResearch and Development in Information Retrieval},\nyear = {1992},\npages = {37--50}\n}\n\n@inproceedings{LEWIS92d ,\nauthor = {David D. Lewis and Richard M. Tong},\ntitle = {Text Filtering in {MUC-3} and {MUC-4}},\nbooktitle = {Proceedings of the Fourth Message Understanding Conference ({MUC-4})},\nyear = {1992},\nmonth = {jun},\norganization = {Defense Advanced Research Projects Agency},\npublisher = {Morgan Kaufmann},\naddress = {Los Altos, CA}\n}\n\n@inproceedings{LEWIS92e,\nauthor = {David D. Lewis},\ntitle = {Feature Selection and Feature Extraction for Text Categorization},\nbooktitle = {Proceedings of Speech and Natural Language Workshop},\nyear = {1992},\nmonth = {feb} ,\norganization = {Defense Advanced Research Projects Agency},\npublisher = {Morgan Kaufmann},\npages = {212--217}\n}\n\n@inproceedings{LEWIS94b,\nauthor = {David D. Lewis and Marc Ringuette},\ntitle = {A Comparison of Two Learning Algorithms for Text Categorization},\nbooktitle = {Symposium on Document Analysis and Information Retrieval},\nyear = {1994},\norganization = {ISRI; Univ. of Nevada, Las Vegas},\naddress = {Las Vegas, NV},\nmonth = {apr},\npages = {81--93}\n}\n\n@article{LEWIS94d,\nauthor = {David D. Lewis and Philip J. Hayes},\ntitle = {Guest Editorial},\njournal = {ACM Transactions on Information Systems},\nyear = {1994},\nvolume  = {12},\nnumber  = {3},\npages = {231},\nmonth = {jul}\n}\n\n@article{SPARCKJONES76,\nauthor = {K. {Sparck Jones} and  C. J. {van Rijsbergen}},\ntitle =  {Information Retrieval Test Collections},\njournal = {Journal of Documentation},\nyear = {1976},\nvolume = {32},\nnumber = {1},\npages = {59--75}\n}\n\n@book{WEISS91,\nauthor = {Sholom M. Weiss and Casimir A. Kulikowski},\ntitle = {Computer Systems That Learn},\npublisher = {Morgan Kaufmann},\nyear = {1991},\naddress = {San Mateo, CA}\n}\n", "homepage": "https://kdd.ics.uci.edu/databases/reuters21578/reuters21578.html", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "topics": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "lewis_split": {"dtype": "string", "id": null, "_type": "Value"}, "cgis_split": {"dtype": "string", "id": null, "_type": "Value"}, "old_id": {"dtype": "string", "id": null, "_type": "Value"}, "new_id": {"dtype": "string", "id": null, "_type": "Value"}, "places": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "people": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "orgs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "exchanges": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "date": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "reuters21578", "config_name": "ModHayes", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 960567, "num_examples": 720, "dataset_name": "reuters21578"}, "train": {"name": "train", "num_bytes": 18821215, "num_examples": 18323, "dataset_name": "reuters21578"}}, "download_checksums": {"https://kdd.ics.uci.edu/databases/reuters21578/reuters21578.tar.gz": {"num_bytes": 8150596, "checksum": "3bae43c9b14e387f76a61b6d82bf98a4fb5d3ef99ef7e7075ff2ccbcf59f9d30"}}, "download_size": 8150596, "post_processing_size": null, "dataset_size": 19781782, "size_in_bytes": 27932378}, "ModLewis": {"description": "The Reuters-21578 dataset  is one of the most widely used data collections for text\ncategorization research. It is collected from the Reuters financial newswire service in 1987.\n", "citation": "@article{APTE94,\nauthor = {Chidanand Apt{'{e}} and Fred Damerau and Sholom M. Weiss},\ntitle = {Automated Learning of Decision Rules for Text Categorization},\njournal = {ACM Transactions on Information Systems},\nyear = {1994},\nnote = {To appear.}\n}\n\n@inproceedings{APTE94b,\nauthor = {Chidanand Apt{'{e}} and Fred Damerau and Sholom M. Weiss},\ntitle = {Toward Language Independent Automated Learning of Text Categorization Models},\nbooktitle = {sigir94},\nyear = {1994},\nnote = {To appear.}\n}\n\n@inproceedings{HAYES8},\nauthor = {Philip J. Hayes and Peggy M. Anderson and Irene B. Nirenburg and\nLinda M. Schmandt},\ntitle = {{TCS}: A Shell for Content-Based Text Categorization},\nbooktitle = {IEEE Conference on Artificial Intelligence Applications},\nyear = {1990}\n}\n\n@inproceedings{HAYES90b,\nauthor = {Philip J. Hayes and Steven P. Weinstein},\ntitle = {{CONSTRUE/TIS:} A System for Content-Based Indexing of a\nDatabase of News Stories},\nbooktitle = {Second Annual Conference on Innovative Applications of\nArtificial Intelligence},\nyear = {1990}\n}\n\n@incollection{HAYES92 ,\nauthor = {Philip J. Hayes},\ntitle = {Intelligent High-Volume Text Processing using Shallow,\nDomain-Specific Techniques},\nbooktitle = {Text-Based Intelligent Systems},\npublisher = {Lawrence Erlbaum},\naddress =  {Hillsdale, NJ},\nyear = {1992},\neditor = {Paul S. Jacobs}\n}\n\n@inproceedings{LEWIS91c ,\nauthor = {David D. Lewis},\ntitle = {Evaluating Text Categorization},\nbooktitle = {Proceedings of Speech and Natural Language Workshop},\nyear = {1991},\nmonth = {feb},\norganization = {Defense Advanced Research Projects Agency},\npublisher = {Morgan Kaufmann},\npages = {312--318}\n\n}\n\n@phdthesis{LEWIS91d,\nauthor = {David Dolan Lewis},\ntitle = {Representation and Learning in Information Retrieval},\nschool = {Computer Science Dept.; Univ. of Massachusetts; Amherst, MA 01003},\nyear = 1992},\nnote = {Technical Report 91--93.}\n}\n\n@inproceedings{LEWIS91e,\nauthor = {David D. Lewis},\ntitle = {Data Extraction as Text Categorization: An Experiment with\nthe {MUC-3} Corpus},\nbooktitle = {Proceedings of the Third Message Understanding Evaluation\nand Conference},\nyear = {1991},\nmonth = {may},\norganization = {Defense Advanced Research Projects Agency},\npublisher = {Morgan Kaufmann},\naddress = {Los Altos, CA}\n\n}\n\n@inproceedings{LEWIS92b,\nauthor = {David D. 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Lewis},\ntitle = {Feature Selection and Feature Extraction for Text Categorization},\nbooktitle = {Proceedings of Speech and Natural Language Workshop},\nyear = {1992},\nmonth = {feb} ,\norganization = {Defense Advanced Research Projects Agency},\npublisher = {Morgan Kaufmann},\npages = {212--217}\n}\n\n@inproceedings{LEWIS94b,\nauthor = {David D. Lewis and Marc Ringuette},\ntitle = {A Comparison of Two Learning Algorithms for Text Categorization},\nbooktitle = {Symposium on Document Analysis and Information Retrieval},\nyear = {1994},\norganization = {ISRI; Univ. of Nevada, Las Vegas},\naddress = {Las Vegas, NV},\nmonth = {apr},\npages = {81--93}\n}\n\n@article{LEWIS94d,\nauthor = {David D. Lewis and Philip J. Hayes},\ntitle = {Guest Editorial},\njournal = {ACM Transactions on Information Systems},\nyear = {1994},\nvolume  = {12},\nnumber  = {3},\npages = {231},\nmonth = {jul}\n}\n\n@article{SPARCKJONES76,\nauthor = {K. {Sparck Jones} and  C. J. {van Rijsbergen}},\ntitle =  {Information Retrieval Test Collections},\njournal = {Journal of Documentation},\nyear = {1976},\nvolume = {32},\nnumber = {1},\npages = {59--75}\n}\n\n@book{WEISS91,\nauthor = {Sholom M. Weiss and Casimir A. Kulikowski},\ntitle = {Computer Systems That Learn},\npublisher = {Morgan Kaufmann},\nyear = {1991},\naddress = {San Mateo, CA}\n}\n", "homepage": "https://kdd.ics.uci.edu/databases/reuters21578/reuters21578.html", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "text_type": {"dtype": "string", "id": null, "_type": "Value"}, "topics": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "lewis_split": {"dtype": "string", "id": null, "_type": "Value"}, "cgis_split": {"dtype": "string", "id": null, "_type": "Value"}, "old_id": {"dtype": "string", "id": null, "_type": "Value"}, "new_id": {"dtype": "string", "id": null, "_type": "Value"}, "places": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "people": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "orgs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "exchanges": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "date": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "reuters21578", "config_name": "ModLewis", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 5400578, "num_examples": 6188, "dataset_name": "reuters21578"}, "train": {"name": "train", "num_bytes": 12994735, "num_examples": 13625, "dataset_name": "reuters21578"}, "unused": {"name": "unused", "num_bytes": 948316, "num_examples": 722, "dataset_name": "reuters21578"}}, "download_checksums": {"https://kdd.ics.uci.edu/databases/reuters21578/reuters21578.tar.gz": {"num_bytes": 8150596, "checksum": "3bae43c9b14e387f76a61b6d82bf98a4fb5d3ef99ef7e7075ff2ccbcf59f9d30"}}, "download_size": 8150596, "post_processing_size": null, "dataset_size": 19343629, "size_in_bytes": 27494225}, "ModApte": {"description": "The Reuters-21578 dataset  is one of the most widely used data collections for text\ncategorization research. It is collected from the Reuters financial newswire service in 1987.\n", "citation": "@article{APTE94,\nauthor = {Chidanand Apt{'{e}} and Fred Damerau and Sholom M. Weiss},\ntitle = {Automated Learning of Decision Rules for Text Categorization},\njournal = {ACM Transactions on Information Systems},\nyear = {1994},\nnote = {To appear.}\n}\n\n@inproceedings{APTE94b,\nauthor = {Chidanand Apt{'{e}} and Fred Damerau and Sholom M. Weiss},\ntitle = {Toward Language Independent Automated Learning of Text Categorization Models},\nbooktitle = {sigir94},\nyear = {1994},\nnote = {To appear.}\n}\n\n@inproceedings{HAYES8},\nauthor = {Philip J. Hayes and Peggy M. Anderson and Irene B. Nirenburg and\nLinda M. Schmandt},\ntitle = {{TCS}: A Shell for Content-Based Text Categorization},\nbooktitle = {IEEE Conference on Artificial Intelligence Applications},\nyear = {1990}\n}\n\n@inproceedings{HAYES90b,\nauthor = {Philip J. Hayes and Steven P. Weinstein},\ntitle = {{CONSTRUE/TIS:} A System for Content-Based Indexing of a\nDatabase of News Stories},\nbooktitle = {Second Annual Conference on Innovative Applications of\nArtificial Intelligence},\nyear = {1990}\n}\n\n@incollection{HAYES92 ,\nauthor = {Philip J. Hayes},\ntitle = {Intelligent High-Volume Text Processing using Shallow,\nDomain-Specific Techniques},\nbooktitle = {Text-Based Intelligent Systems},\npublisher = {Lawrence Erlbaum},\naddress =  {Hillsdale, NJ},\nyear = {1992},\neditor = {Paul S. Jacobs}\n}\n\n@inproceedings{LEWIS91c ,\nauthor = {David D. Lewis},\ntitle = {Evaluating Text Categorization},\nbooktitle = {Proceedings of Speech and Natural Language Workshop},\nyear = {1991},\nmonth = {feb},\norganization = {Defense Advanced Research Projects Agency},\npublisher = {Morgan Kaufmann},\npages = {312--318}\n\n}\n\n@phdthesis{LEWIS91d,\nauthor = {David Dolan Lewis},\ntitle = {Representation and Learning in Information Retrieval},\nschool = {Computer Science Dept.; Univ. of Massachusetts; Amherst, MA 01003},\nyear = 1992},\nnote = {Technical Report 91--93.}\n}\n\n@inproceedings{LEWIS91e,\nauthor = {David D. Lewis},\ntitle = {Data Extraction as Text Categorization: An Experiment with\nthe {MUC-3} Corpus},\nbooktitle = {Proceedings of the Third Message Understanding Evaluation\nand Conference},\nyear = {1991},\nmonth = {may},\norganization = {Defense Advanced Research Projects Agency},\npublisher = {Morgan Kaufmann},\naddress = {Los Altos, CA}\n\n}\n\n@inproceedings{LEWIS92b,\nauthor = {David D. Lewis},\ntitle = {An Evaluation of Phrasal and Clustered Representations on a Text\nCategorization Task},\nbooktitle = {Fifteenth Annual International ACM SIGIR Conference on\nResearch and Development in Information Retrieval},\nyear = {1992},\npages = {37--50}\n}\n\n@inproceedings{LEWIS92d ,\nauthor = {David D. Lewis and Richard M. Tong},\ntitle = {Text Filtering in {MUC-3} and {MUC-4}},\nbooktitle = {Proceedings of the Fourth Message Understanding Conference ({MUC-4})},\nyear = {1992},\nmonth = {jun},\norganization = {Defense Advanced Research Projects Agency},\npublisher = {Morgan Kaufmann},\naddress = {Los Altos, CA}\n}\n\n@inproceedings{LEWIS92e,\nauthor = {David D. Lewis},\ntitle = {Feature Selection and Feature Extraction for Text Categorization},\nbooktitle = {Proceedings of Speech and Natural Language Workshop},\nyear = {1992},\nmonth = {feb} ,\norganization = {Defense Advanced Research Projects Agency},\npublisher = {Morgan Kaufmann},\npages = {212--217}\n}\n\n@inproceedings{LEWIS94b,\nauthor = {David D. Lewis and Marc Ringuette},\ntitle = {A Comparison of Two Learning Algorithms for Text Categorization},\nbooktitle = {Symposium on Document Analysis and Information Retrieval},\nyear = {1994},\norganization = {ISRI; Univ. of Nevada, Las Vegas},\naddress = {Las Vegas, NV},\nmonth = {apr},\npages = {81--93}\n}\n\n@article{LEWIS94d,\nauthor = {David D. Lewis and Philip J. Hayes},\ntitle = {Guest Editorial},\njournal = {ACM Transactions on Information Systems},\nyear = {1994},\nvolume  = {12},\nnumber  = {3},\npages = {231},\nmonth = {jul}\n}\n\n@article{SPARCKJONES76,\nauthor = {K. {Sparck Jones} and  C. J. {van Rijsbergen}},\ntitle =  {Information Retrieval Test Collections},\njournal = {Journal of Documentation},\nyear = {1976},\nvolume = {32},\nnumber = {1},\npages = {59--75}\n}\n\n@book{WEISS91,\nauthor = {Sholom M. Weiss and Casimir A. Kulikowski},\ntitle = {Computer Systems That Learn},\npublisher = {Morgan Kaufmann},\nyear = {1991},\naddress = {San Mateo, CA}\n}\n", "homepage": "https://kdd.ics.uci.edu/databases/reuters21578/reuters21578.html", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "text_type": {"dtype": "string", "id": null, "_type": "Value"}, "topics": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "lewis_split": {"dtype": "string", "id": null, "_type": "Value"}, "cgis_split": {"dtype": "string", "id": null, "_type": "Value"}, "old_id": {"dtype": "string", "id": null, "_type": "Value"}, "new_id": {"dtype": "string", "id": null, "_type": "Value"}, "places": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "people": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "orgs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "exchanges": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "date": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "reuters21578", "config_name": "ModApte", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 2971725, "num_examples": 3299, "dataset_name": "reuters21578"}, "train": {"name": "train", "num_bytes": 9161251, "num_examples": 9603, "dataset_name": "reuters21578"}, "unused": {"name": "unused", "num_bytes": 948316, "num_examples": 722, "dataset_name": "reuters21578"}}, "download_checksums": {"https://kdd.ics.uci.edu/databases/reuters21578/reuters21578.tar.gz": {"num_bytes": 8150596, "checksum": "3bae43c9b14e387f76a61b6d82bf98a4fb5d3ef99ef7e7075ff2ccbcf59f9d30"}}, "download_size": 8150596, "post_processing_size": null, "dataset_size": 13081292, "size_in_bytes": 21231888}}

reuters21578.py

@@ -232,6 +232,7 @@ class Reuters21578(datasets.GeneratorBasedBuilder):
             features=datasets.Features(
                 {
                     "text": datasets.Value("string"),
+                    "text_type": datasets.Value("string"),
                     "topics": datasets.Sequence(datasets.Value("string")),
                     "lewis_split": datasets.Value("string"),
                     "cgis_split": datasets.Value("string"),
@@ -259,28 +260,16 @@ class Reuters21578(datasets.GeneratorBasedBuilder):
             return [
                 datasets.SplitGenerator(
                     name=datasets.Split.TEST,
-                    gen_kwargs={
-                        "filepath": files,
-                        "split": "PUBLISHED-TESTSET",
-                    },
+                    gen_kwargs={"filepath": files, "split": "PUBLISHED-TESTSET"},
                 ),
                 datasets.SplitGenerator(
                     name=datasets.Split.TRAIN,
-                    gen_kwargs={
-                        "filepath": files,
-                        "split": "TRAINING-SET",
-                    },
+                    gen_kwargs={"filepath": files, "split": "TRAINING-SET"},
                 ),
             ]
         else:
             return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TEST,
-                    gen_kwargs={
-                        "filepath": files,
-                        "split": "TEST",
-                    },
-                ),
+                datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": files, "split": "TEST"}),
                 datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": files, "split": "TRAIN"}),
                 datasets.SplitGenerator(name="unused", gen_kwargs={"filepath": files, "split": "NOT-USED"}),
             ]
@@ -292,19 +281,21 @@ class Reuters21578(datasets.GeneratorBasedBuilder):
                 file, encoding="utf-8", errors="ignore"
             ) as f:  # only the file reut2-017 has one line non UTF-8 encoded so we can ignore it
                 line = f.readline()
-                lewis_split = ""
-                cgis_split = ""
-                old_id = ""
-                new_id = ""
-                topics = []
-                places = []
-                people = []
-                orgs = []
-                exchanges = []
-                date = ""
-                title = ""
                 while line:
                     if line.startswith("<REUTERS"):
+                        lewis_split = ""
+                        cgis_split = ""
+                        old_id = ""
+                        new_id = ""
+                        topics = []
+                        places = []
+                        people = []
+                        orgs = []
+                        exchanges = []
+                        date = ""
+                        title = ""
+                        text = ""
+                        text_type = ""
                         line = line.split()
                         lewis_split = line[2].split("=")[1]
                         cgis_split = line[3].split("=")[1]
@@ -375,13 +366,34 @@ class Reuters21578(datasets.GeneratorBasedBuilder):
                     elif line.startswith("<TITLE>"):
                         title = line[7:-9]
                         line = f.readline()
+                    elif "*<TITLE>" in line:
+                        # These lines start with a variable number of * chars
+                        title = line.split("*<TITLE>")[1][:-1]
+                        line = f.readline()
+                        while "</TITLE>" not in line:
+                            # Convert any \n in TYPE="BRIEF" text to spaces to match other titles
+                            title += " " + line[:-1]
+                            line = f.readline()
                     elif "<BODY>" in line:
                         text = line.split("<BODY>")[1]
                         line = f.readline()
                         while "</BODY>" not in line:
                             text += line
                             line = f.readline()
-
+                    elif line.startswith('<TEXT TYPE="UNPROC">'):
+                        text_type = '"UNPROC"'
+                        text = line[20:]
+                        line = f.readline()
+                        while "</TEXT>" not in line:
+                            text += line
+                            line = f.readline()
+                    elif line.startswith('<TEXT TYPE="BRIEF">'):
+                        text_type = '"BRIEF"'
+                        line = f.readline()
+                    elif line.startswith("<TEXT>"):
+                        text_type = '"NORM"'
+                        line = f.readline()
+                    elif line.startswith("</REUTERS>"):
                         yield new_id, {
                             "lewis_split": lewis_split,
                             "cgis_split": cgis_split,
@@ -395,8 +407,8 @@ class Reuters21578(datasets.GeneratorBasedBuilder):
                             "date": date,
                             "title": title,
                             "text": text,
+                            "text_type": text_type,
                         }
                         line = f.readline()
-
                     else:
                         line = f.readline()