Host data file (#3)

- Add data file (b6432f20906ae83073a98c9a1ede6abc78b5877d)
- Update data URL in loading script (76a4453135cf66f8819183958b3fc7af99cbfb7f)
- Delete legacy dataset_infos.json (750f1c21e6745486daf81871554e95a3d9a88b52)
- Reorder configs metadata in dataset card (8cae5b93a8d2cbbe3fe6b4c44c394387df8c5cd6)
- Update webpage URL (13c493b853c9986e2fe13ee506b8a8261b680056)
- Update licensing information (aacfc36d65cc80180d7cee1f15ba023ceba190f1)

README.md

@@ -1,10 +1,11 @@
 ---
-pretty_name: Reuters-21578 Text Categorization Collection
 language:
 - en
+license: other
 paperswithcode_id: reuters-21578
+pretty_name: Reuters-21578 Text Categorization Collection
 dataset_info:
-- config_name: ModHayes
+- config_name: ModApte
   features:
   - name: text
     dtype: string
@@ -34,14 +35,17 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 948316
-    num_examples: 722
+    num_bytes: 2971653
+    num_examples: 3299
   - name: train
-    num_bytes: 19071322
-    num_examples: 20856
+    num_bytes: 9161179
+    num_examples: 9603
+  - name: unused
+    num_bytes: 948244
+    num_examples: 722
   download_size: 8150596
-  dataset_size: 20019638
-- config_name: ModLewis
+  dataset_size: 13081076
+- config_name: ModHayes
   features:
   - name: text
     dtype: string
@@ -71,17 +75,14 @@ dataset_info:
     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_bytes: 948244
     num_examples: 722
+  - name: train
+    num_bytes: 19071106
+    num_examples: 20856
   download_size: 8150596
-  dataset_size: 19343629
-- config_name: ModApte
+  dataset_size: 20019350
+- config_name: ModLewis
   features:
   - name: text
     dtype: string
@@ -111,16 +112,16 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 2971725
-    num_examples: 3299
+    num_bytes: 5400506
+    num_examples: 6188
   - name: train
-    num_bytes: 9161251
-    num_examples: 9603
+    num_bytes: 12994591
+    num_examples: 13625
   - name: unused
-    num_bytes: 948316
+    num_bytes: 948244
     num_examples: 722
   download_size: 8150596
-  dataset_size: 13081292
+  dataset_size: 19343341
 ---
 
 # Dataset Card for "reuters21578"
@@ -151,7 +152,7 @@ dataset_info:
 
 ## Dataset Description
 
-- **Homepage:** [https://kdd.ics.uci.edu/databases/reuters21578/reuters21578.html](https://kdd.ics.uci.edu/databases/reuters21578/reuters21578.html)
+- **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)
@@ -372,7 +373,21 @@ The data fields are the same among all splits.
 
 ### Licensing Information
 
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+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
 

data/reuters21578.tar.gz

@@ -0,0 +1,3 @@
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+oid sha256:3bae43c9b14e387f76a61b6d82bf98a4fb5d3ef99ef7e7075ff2ccbcf59f9d30
+size 8150596

dataset_infos.json

@@ -1 +0,0 @@
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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 = {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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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": "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

@@ -22,6 +22,8 @@ from textwrap import dedent
 import datasets
 
 
+_HOMEPAGE = "https://archive.ics.uci.edu/dataset/137/reuters+21578+text+categorization+collection"
+
 _CITATION = """\
 @article{APTE94,
 author = {Chidanand Apt{\'{e}} and Fred Damerau and Sholom M. Weiss},
@@ -179,7 +181,7 @@ The Reuters-21578 dataset  is one of the most widely used data collections for t
 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"
+_DATA_URL = "data/reuters21578.tar.gz"
 
 
 class Reuters21578Config(datasets.BuilderConfig):
@@ -247,7 +249,7 @@ class Reuters21578(datasets.GeneratorBasedBuilder):
             # 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",
+            homepage=_HOMEPAGE,
             citation=_CITATION,
         )