Update files from the datasets library (from 1.0.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.0.0

.gitattributes

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dataset_infos.json

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+{"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"}}, "supervised_keys": null, "builder_name": "reuters21578", "config_name": "ModHayes", "version": {"version_str": "1.0.0", "description": "", "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 930193, "num_examples": 720, "dataset_name": "reuters21578"}, "train": {"name": "train", "num_bytes": 18050316, "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, "dataset_size": 18980509, "size_in_bytes": 27131105}, "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. 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"}}, "supervised_keys": null, "builder_name": "reuters21578", "config_name": "ModLewis", "version": {"version_str": "1.0.0", "description": "", "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 5172249, "num_examples": 5458, "dataset_name": "reuters21578"}, "train": {"name": "train", "num_bytes": 12496933, "num_examples": 12449, "dataset_name": "reuters21578"}, "unused": {"name": "unused", "num_bytes": 930193, "num_examples": 720, "dataset_name": "reuters21578"}}, "download_checksums": {"https://kdd.ics.uci.edu/databases/reuters21578/reuters21578.tar.gz": {"num_bytes": 8150596, "checksum": "3bae43c9b14e387f76a61b6d82bf98a4fb5d3ef99ef7e7075ff2ccbcf59f9d30"}}, "download_size": 8150596, "dataset_size": 18599375, "size_in_bytes": 26749971}, "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"}, "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"}}, "supervised_keys": null, "builder_name": "reuters21578", "config_name": "ModApte", "version": {"version_str": "1.0.0", "description": "", "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 2848935, "num_examples": 3009, "dataset_name": "reuters21578"}, "train": {"name": "train", "num_bytes": 8778391, "num_examples": 8762, "dataset_name": "reuters21578"}, "unused": {"name": "unused", "num_bytes": 930193, "num_examples": 720, "dataset_name": "reuters21578"}}, "download_checksums": {"https://kdd.ics.uci.edu/databases/reuters21578/reuters21578.tar.gz": {"num_bytes": 8150596, "checksum": "3bae43c9b14e387f76a61b6d82bf98a4fb5d3ef99ef7e7075ff2ccbcf59f9d30"}}, "download_size": 8150596, "dataset_size": 12557519, "size_in_bytes": 20708115}}

dummy/ModApte/1.0.0/dummy_data.zip

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+size 22278

dummy/ModHayes/1.0.0/dummy_data.zip

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dummy/ModLewis/1.0.0/dummy_data.zip

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reuters21578.py

@@ -0,0 +1,402 @@
+# coding=utf-8
+# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Lint as: python3
+"""Reuters 21578"""
+
+from __future__ import absolute_import, division, print_function
+
+import os
+from textwrap import dedent
+
+import datasets
+
+
+_CITATION = """\
+@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}
+}
+"""
+
+_DESCRIPTION = """\
+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.
+"""
+
+_DATA_URL = "https://kdd.ics.uci.edu/databases/reuters21578/reuters21578.tar.gz"
+
+
+class Reuters21578Config(datasets.BuilderConfig):
+    """BuilderConfig for reuters-21578."""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for Reuters21578.
+
+        Args:
+        **kwargs: keyword arguments forwarded to super.
+        """
+        super(Reuters21578Config, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
+
+
+class Reuters21578(datasets.GeneratorBasedBuilder):
+    """Reuters 21578"""
+
+    BUILDER_CONFIGS = [
+        Reuters21578Config(
+            name="ModHayes",
+            description=dedent(
+                """Training Set (20856 docs): CGISPLIT="TRAINING-SET"
+                                Test Set (722 docs): CGISPLIT="PUBLISHED-TESTSET"
+                                Unused (0 docs)"""
+            ),
+        ),
+        Reuters21578Config(
+            name="ModLewis",
+            description=dedent(
+                """Training Set (13,625 docs): LEWISSPLIT="TRAIN";  TOPICS="YES" or "NO"
+                                Test Set (6,188 docs):  LEWISSPLIT="TEST"; TOPICS="YES" or "NO"
+                                Unused (1,765): LEWISSPLIT="NOT-USED" or TOPICS="BYPASS"""
+            ),
+        ),
+        Reuters21578Config(
+            name="ModApte",
+            description=dedent(
+                """Training Set (9,603 docs): LEWISSPLIT="TRAIN";  TOPICS="YES"
+                                Test Set (3,299 docs): LEWISSPLIT="TEST"; TOPICS="YES"
+                                Unused (8,676 docs):   LEWISSPLIT="NOT-USED"; TOPICS="YES" or TOPICS="NO" or TOPICS="BYPASS" """
+            ),
+        ),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                    "topics": datasets.Sequence(datasets.Value("string")),
+                    "lewis_split": datasets.Value("string"),
+                    "cgis_split": datasets.Value("string"),
+                    "old_id": datasets.Value("string"),
+                    "new_id": datasets.Value("string"),
+                    "places": datasets.Sequence(datasets.Value("string")),
+                    "people": datasets.Sequence(datasets.Value("string")),
+                    "orgs": datasets.Sequence(datasets.Value("string")),
+                    "exchanges": datasets.Sequence(datasets.Value("string")),
+                    "date": datasets.Value("string"),
+                    "title": datasets.Value("string"),
+                }
+            ),
+            # No default supervised_keys (as we have to pass both premise
+            # and hypothesis as input).
+            supervised_keys=None,
+            homepage="https://kdd.ics.uci.edu/databases/reuters21578/reuters21578.html",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        dl_dir = dl_manager.download_and_extract(_DATA_URL)
+        files = [os.path.join(dl_dir, "reut2-" + "%03d" % i + ".sgm") for i in range(22)]
+        if self.config.name == "ModHayes":
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TEST,
+                    gen_kwargs={
+                        "filepath": files,
+                        "split": "PUBLISHED-TESTSET",
+                    },
+                ),
+                datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN,
+                    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.TRAIN, gen_kwargs={"filepath": files, "split": "TRAIN"}),
+                datasets.SplitGenerator(name="unused", gen_kwargs={"filepath": files, "split": "NOT-USED"}),
+            ]
+
+    def _generate_examples(self, filepath, split):
+        """This function returns the examples in the raw (text) form."""
+        for file in filepath:
+            with open(
+                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"):
+                        line = line.split()
+                        lewis_split = line[2].split("=")[1]
+                        cgis_split = line[3].split("=")[1]
+                        old_id = line[4].split("=")[1]
+                        new_id = line[5].split("=")[1][:-1]
+                        has_topic = line[1].split("=")[1]
+                        line = f.readline()
+                        if (
+                            (self.config.name == "ModHayes" and split not in cgis_split)
+                            or (
+                                self.config.name == "ModLewis"
+                                and (
+                                    (split not in lewis_split)
+                                    or (split == "TRAIN" and has_topic not in ['"YES"', '"NO"'])
+                                    or (split == "TEST" and has_topic not in ['"YES"', '"NO"'])
+                                    or (split == "NOT-USED" and has_topic not in ['"YES"', '"NO"', '"BYPASS"'])
+                                )
+                            )
+                            or (
+                                self.config.name == "ModApte"
+                                and (
+                                    split not in lewis_split
+                                    or (split == "TRAIN" and has_topic != '"YES"')
+                                    or (split == "TEST" and has_topic != '"YES"')
+                                    or (split == "NOT-USED" and has_topic not in ['"YES"', '"NO"', '"BYPASS"'])
+                                )
+                            )
+                        ):  # skip example that are not in the current split
+                            li = line
+                            while li and not li.startswith("<REUTERS"):
+                                li = f.readline()
+                            if li:
+                                line = li
+                    elif line.startswith("<TOPICS>"):
+                        if line.replace("\n", "") != "<TOPICS></TOPICS>":
+                            line = line.split("<D>")
+                            topics = [topic.replace("</D>", "") for topic in line[1:-1]]
+                            topics = [topic.replace("</TOPICS>", "") for topic in topics]
+                        line = f.readline()
+                    elif line.startswith("<PLACES>"):
+                        if line.replace("\n", "") != "<PLACES></PLACES>":
+                            line = line.split("<D>")
+                            places = [place.replace("</D>", "") for place in line[1:-1]]
+                            places = [place.replace("</PLACES>", "") for place in places]
+                        line = f.readline()
+                    elif line.startswith("<PEOPLE>"):
+                        if line.replace("\n", "") != "<PEOPLE></PEOPLE>":
+                            line = line.split("<D>")
+                            people = [p.replace("</D>", "") for p in line[1:-1]]
+                            people = [p.replace("</PEOPLE>", "") for p in people]
+                        line = f.readline()
+                    elif line.startswith("<ORGS>"):
+                        if line.replace("\n", "") != "<ORGS></ORGS>":
+                            line = line.split("<D>")
+                            orgs = [org.replace("</D>", "") for org in line[1:-1]]
+                            orgs = [org.replace("</ORGS>", "") for org in orgs]
+                        line = f.readline()
+                    elif line.startswith("<EXCHANGES>"):
+                        if line.replace("\n", "") != "<EXCHANGES></EXCHANGES>":
+                            line = line.split("<D>")
+                            exchanges = [ex.replace("</D>", "") for ex in line[1:-1]]
+                            exchanges = [ex.replace("</EXCHANGES>", "") for ex in exchanges]
+                        line = f.readline()
+                    elif line.startswith("<DATE>"):
+                        date = line.replace("\n", "")
+                        date = line[6:-8]
+                        line = f.readline()
+                    elif line.startswith("<TITLE>"):
+                        title = line[7:-9]
+                        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()
+
+                        yield new_id, {
+                            "lewis_split": lewis_split,
+                            "cgis_split": cgis_split,
+                            "old_id": old_id,
+                            "new_id": new_id,
+                            "topics": topics,
+                            "places": places,
+                            "people": people,
+                            "orgs": orgs,
+                            "exchanges": exchanges,
+                            "date": date,
+                            "title": title,
+                            "text": text,
+                        }
+                        line = f.readline()
+
+                    else:
+                        line = f.readline()