Update files from the datasets library (from 1.2.1)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.1

README.md

@@ -4,6 +4,10 @@ annotations_creators:
   - machine-generated
   auto_acl:
   - machine-generated
+  auto_full_no_split:
+  - machine-generated
+  auto_full_with_split:
+  - machine-generated
   manual:
   - crowdsourced
 language_creators:
@@ -61,7 +65,7 @@ WikiAuto provides a set of aligned sentences from English Wikipedia and Simple E
 
 The authors first crowd-sourced a set of manual alignments between sentences in a subset of the Simple English Wikipedia and their corresponding versions in English Wikipedia (this corresponds to the `manual` config in this version of dataset), then trained a neural CRF system to predict these alignments.
 
-The trained alignment prediction model was then applied to the other articles in Simple English Wikipedia with an English counterpart to create a larger corpus of aligned sentences (corresponding to the `auto` and `auto_acl` configs here).
+The trained alignment prediction model was then applied to the other articles in Simple English Wikipedia with an English counterpart to create a larger corpus of aligned sentences (corresponding to the `auto`, `auto_acl`, `auto_full_no_split`, and `auto_full_with_split` configs here).
 
 ### Supported Tasks and Leaderboards
 
@@ -127,7 +131,7 @@ The `auto` config shows a pair of an English and corresponding Simple English Wi
   'simple_article_url': 'https://simple.wikipedia.org/wiki?curid=702227'}}
 ```
 
-Finally, the `auto_acl` config was obtained by selecting the aligned pairs of sentences from `auto` to provide a ready-to-go aligned dataset to train a sequence-to-sequence system, so an instance is a single pair of sentences:
+Finally, the `auto_acl`, the `auto_full_no_split`, and the `auto_full_with_split` configs were obtained by selecting the aligned pairs of sentences from `auto` to provide a ready-to-go aligned dataset to train a sequence-to-sequence system. While `auto_acl` corresponds to the filtered version of the data used to train the systems in the paper, `auto_full_no_split` and `auto_full_with_split` correspond to the unfiltered versions with and without sentence splits respectively. In the `auto_full_with_split` config, we join the sentences in the simple article mapped to the same sentence in the complex article to capture sentence splitting. Split sentences are seperated by a `<SEP>` token.  In the `auto_full_no_split` config, we do not join the splits and treat them as seperate pairs. An instance is a single pair of sentences:
 ```
 {'normal_sentence': 'In early work , Rutherford discovered the concept of radioactive half-life , the radioactive element radon , and differentiated and named alpha and beta radiation .\n',
  'simple_sentence': 'Rutherford discovered the radioactive half-life , and the three parts of radiation which he named Alpha , Beta , and Gamma .\n'}

dataset_infos.json

@@ -1 +1 @@
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The authors first crowd-sourced a set of manual alignments\nbetween sentences in a subset of the Simple English Wikipedia and their corresponding versions in English Wikipedia\n(this corresponds to the `manual` config), then trained a neural CRF system to predict these alignments.\nThe trained model was then applied to the other articles in Simple English Wikipedia with an English counterpart to\ncreate a larger corpus of aligned sentences (corresponding to the `auto` and `auto_acl` configs here).\n", "citation": "@inproceedings{acl/JiangMLZX20,\n  author    = {Chao Jiang and\n               Mounica Maddela and\n               Wuwei Lan and\n               Yang Zhong and\n               Wei Xu},\n  editor    = {Dan Jurafsky and\n               Joyce Chai and\n               Natalie Schluter and\n               Joel R. Tetreault},\n  title     = {Neural {CRF} Model for Sentence Alignment in Text Simplification},\n  booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational\n               Linguistics, {ACL} 2020, Online, July 5-10, 2020},\n  pages     = {7943--7960},\n  publisher = {Association for Computational Linguistics},\n  year      = {2020},\n  url       = {https://www.aclweb.org/anthology/2020.acl-main.709/}\n}\n", "homepage": "https://github.com/chaojiang06/wiki-auto", "license": "CC-BY-SA 3.0", "features": {"alignment_label": {"num_classes": 2, "names": ["notAligned", "aligned"], "names_file": null, "id": null, "_type": "ClassLabel"}, "normal_sentence_id": {"dtype": "string", "id": null, "_type": "Value"}, "simple_sentence_id": {"dtype": "string", "id": null, "_type": "Value"}, "normal_sentence": {"dtype": "string", "id": null, "_type": "Value"}, "simple_sentence": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_auto", "config_name": "manual", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 109343271, "num_examples": 373801, "dataset_name": "wiki_auto"}, "dev": {"name": "dev", "num_bytes": 20819779, "num_examples": 73249, "dataset_name": "wiki_auto"}, "test": {"name": "test", "num_bytes": 33379338, "num_examples": 118074, "dataset_name": "wiki_auto"}}, "download_checksums": {"https://github.com/chaojiang06/wiki-auto/raw/master/wiki-manual/train.tsv": {"num_bytes": 106346588, "checksum": "82fa388de3ded6d303b95fcd11ba70e0b6158d2df1cbf24913bb54503bd32e95"}, "https://github.com/chaojiang06/wiki-auto/raw/master/wiki-manual/dev.tsv": {"num_bytes": 20232621, "checksum": "c56a9d2a739f9da83f90c54e266e1d60dd036cb80c463f118cb55613232e2e41"}, "https://github.com/chaojiang06/wiki-auto/raw/master/wiki-manual/test.tsv": {"num_bytes": 32432523, "checksum": "ab8b818b0eeb7aa7712d244ee0ea16cfd915a896c40f02a34a808b597a5e68a0"}}, "download_size": 159011732, "post_processing_size": null, "dataset_size": 163542388, "size_in_bytes": 322554120}, "auto_acl": {"description": "WikiAuto provides a set of aligned sentences from English Wikipedia and Simple English Wikipedia\nas a resource to train sentence simplification systems. The authors first crowd-sourced a set of manual alignments\nbetween sentences in a subset of the Simple English Wikipedia and their corresponding versions in English Wikipedia\n(this corresponds to the `manual` config), then trained a neural CRF system to predict these alignments.\nThe trained model was then applied to the other articles in Simple English Wikipedia with an English counterpart to\ncreate a larger corpus of aligned sentences (corresponding to the `auto` and `auto_acl` configs here).\n", "citation": "@inproceedings{acl/JiangMLZX20,\n  author    = {Chao Jiang and\n               Mounica Maddela and\n               Wuwei Lan and\n               Yang Zhong and\n               Wei Xu},\n  editor    = {Dan Jurafsky and\n               Joyce Chai and\n               Natalie Schluter and\n               Joel R. Tetreault},\n  title     = {Neural {CRF} Model for Sentence Alignment in Text Simplification},\n  booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational\n               Linguistics, {ACL} 2020, Online, July 5-10, 2020},\n  pages     = {7943--7960},\n  publisher = {Association for Computational Linguistics},\n  year      = {2020},\n  url       = {https://www.aclweb.org/anthology/2020.acl-main.709/}\n}\n", "homepage": "https://github.com/chaojiang06/wiki-auto", "license": "CC-BY-SA 3.0", "features": {"normal_sentence": {"dtype": "string", "id": null, "_type": "Value"}, "simple_sentence": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_auto", "config_name": "auto_acl", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"full": {"name": "full", "num_bytes": 121975414, "num_examples": 488332, "dataset_name": "wiki_auto"}}, "download_checksums": {"https://github.com/chaojiang06/wiki-auto/raw/master/wiki-auto/ACL2020/train.src": {"num_bytes": 70209062, "checksum": "02141edbb735be50c9942f5e0bced4528dc8d844753d46a1f3bdf0b6e550c0e6"}, "https://github.com/chaojiang06/wiki-auto/raw/master/wiki-auto/ACL2020/train.dst": {"num_bytes": 47859304, "checksum": "d9e2106722e2e29f34d5d9b697c236b38e920724727cefb71f42072dd9fd8807"}}, "download_size": 118068366, "post_processing_size": null, "dataset_size": 121975414, "size_in_bytes": 240043780}, "auto": {"description": "WikiAuto provides a set of aligned sentences from English Wikipedia and Simple English Wikipedia\nas a resource to train sentence simplification systems. The authors first crowd-sourced a set of manual alignments\nbetween sentences in a subset of the Simple English Wikipedia and their corresponding versions in English Wikipedia\n(this corresponds to the `manual` config), then trained a neural CRF system to predict these alignments.\nThe trained model was then applied to the other articles in Simple English Wikipedia with an English counterpart to\ncreate a larger corpus of aligned sentences (corresponding to the `auto` and `auto_acl` configs here).\n", "citation": "@inproceedings{acl/JiangMLZX20,\n  author    = {Chao Jiang and\n               Mounica Maddela and\n               Wuwei Lan and\n               Yang Zhong and\n               Wei Xu},\n  editor    = {Dan Jurafsky and\n               Joyce Chai and\n               Natalie Schluter and\n               Joel R. Tetreault},\n  title     = {Neural {CRF} Model for Sentence Alignment in Text Simplification},\n  booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational\n               Linguistics, {ACL} 2020, Online, July 5-10, 2020},\n  pages     = {7943--7960},\n  publisher = {Association for Computational Linguistics},\n  year      = {2020},\n  url       = {https://www.aclweb.org/anthology/2020.acl-main.709/}\n}\n", "homepage": "https://github.com/chaojiang06/wiki-auto", "license": "CC-BY-SA 3.0", "features": {"example_id": {"dtype": "string", "id": null, "_type": "Value"}, "normal": {"normal_article_id": {"dtype": "int32", "id": null, "_type": "Value"}, "normal_article_title": {"dtype": "string", "id": null, "_type": "Value"}, "normal_article_url": {"dtype": "string", "id": null, "_type": "Value"}, "normal_article_content": {"feature": {"normal_sentence_id": {"dtype": "string", "id": null, "_type": "Value"}, "normal_sentence": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "simple": {"simple_article_id": {"dtype": "int32", "id": null, "_type": "Value"}, "simple_article_title": {"dtype": "string", "id": null, "_type": "Value"}, "simple_article_url": {"dtype": "string", "id": null, "_type": "Value"}, "simple_article_content": {"feature": {"simple_sentence_id": {"dtype": "string", "id": null, "_type": "Value"}, "simple_sentence": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "paragraph_alignment": {"feature": {"normal_paragraph_id": {"dtype": "string", "id": null, "_type": "Value"}, "simple_paragraph_id": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}, "sentence_alignment": {"feature": {"normal_sentence_id": {"dtype": "string", "id": null, "_type": "Value"}, "simple_sentence_id": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_auto", "config_name": "auto", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"part_1": {"name": "part_1", "num_bytes": 1773240295, "num_examples": 125059, "dataset_name": "wiki_auto"}, "part_2": {"name": "part_2", "num_bytes": 80417651, "num_examples": 13036, "dataset_name": "wiki_auto"}}, "download_checksums": {"https://github.com/chaojiang06/wiki-auto/raw/master/wiki-auto/all_data/wiki-auto-part-1-data.json": {"num_bytes": 2067424750, "checksum": "136d8e113a773d3669228a57cae733fca079954daf0b3514505410c66d1a69b6"}, "https://github.com/chaojiang06/wiki-auto/raw/master/wiki-auto/all_data/wiki-auto-part-2-data.json": {"num_bytes": 93214171, "checksum": "94b33a11447c121a0ce7293de20fb969c36d8a62b31afc5873a4174ed17a1d4e"}}, "download_size": 2160638921, "post_processing_size": null, "dataset_size": 1853657946, "size_in_bytes": 4014296867}}
+{"manual": {"description": "WikiAuto provides a set of aligned sentences from English Wikipedia and Simple English Wikipedia\nas a resource to train sentence simplification systems. The authors first crowd-sourced a set of manual alignments\nbetween sentences in a subset of the Simple English Wikipedia and their corresponding versions in English Wikipedia\n(this corresponds to the `manual` config), then trained a neural CRF system to predict these alignments.\nThe trained model was then applied to the other articles in Simple English Wikipedia with an English counterpart to\ncreate a larger corpus of aligned sentences (corresponding to the `auto`, `auto_acl`, `auto_full_no_split`, and `auto_full_with_split`  configs here).\n", "citation": "@inproceedings{acl/JiangMLZX20,\n  author    = {Chao Jiang and\n               Mounica Maddela and\n               Wuwei Lan and\n               Yang Zhong and\n               Wei Xu},\n  editor    = {Dan Jurafsky and\n               Joyce Chai and\n               Natalie Schluter and\n               Joel R. Tetreault},\n  title     = {Neural {CRF} Model for Sentence Alignment in Text Simplification},\n  booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational\n               Linguistics, {ACL} 2020, Online, July 5-10, 2020},\n  pages     = {7943--7960},\n  publisher = {Association for Computational Linguistics},\n  year      = {2020},\n  url       = {https://www.aclweb.org/anthology/2020.acl-main.709/}\n}\n", "homepage": "https://github.com/chaojiang06/wiki-auto", "license": "CC-BY-SA 3.0", "features": {"alignment_label": {"num_classes": 2, "names": ["notAligned", "aligned"], "names_file": null, "id": null, "_type": "ClassLabel"}, "normal_sentence_id": {"dtype": "string", "id": null, "_type": "Value"}, "simple_sentence_id": {"dtype": "string", "id": null, "_type": "Value"}, "normal_sentence": {"dtype": "string", "id": null, "_type": "Value"}, "simple_sentence": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_auto", "config_name": "manual", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 109343271, "num_examples": 373801, "dataset_name": "wiki_auto"}, "dev": {"name": "dev", "num_bytes": 20819779, "num_examples": 73249, "dataset_name": "wiki_auto"}, "test": {"name": "test", "num_bytes": 33379338, "num_examples": 118074, "dataset_name": "wiki_auto"}}, "download_checksums": {"https://github.com/chaojiang06/wiki-auto/raw/master/wiki-manual/train.tsv": {"num_bytes": 106346588, "checksum": "82fa388de3ded6d303b95fcd11ba70e0b6158d2df1cbf24913bb54503bd32e95"}, "https://github.com/chaojiang06/wiki-auto/raw/master/wiki-manual/dev.tsv": {"num_bytes": 20232621, "checksum": "c56a9d2a739f9da83f90c54e266e1d60dd036cb80c463f118cb55613232e2e41"}, "https://github.com/chaojiang06/wiki-auto/raw/master/wiki-manual/test.tsv": {"num_bytes": 32432523, "checksum": "ab8b818b0eeb7aa7712d244ee0ea16cfd915a896c40f02a34a808b597a5e68a0"}}, "download_size": 159011732, "post_processing_size": null, "dataset_size": 163542388, "size_in_bytes": 322554120}, "auto_acl": {"description": "WikiAuto provides a set of aligned sentences from English Wikipedia and Simple English Wikipedia\nas a resource to train sentence simplification systems. 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Tetreault},\n  title     = {Neural {CRF} Model for Sentence Alignment in Text Simplification},\n  booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational\n               Linguistics, {ACL} 2020, Online, July 5-10, 2020},\n  pages     = {7943--7960},\n  publisher = {Association for Computational Linguistics},\n  year      = {2020},\n  url       = {https://www.aclweb.org/anthology/2020.acl-main.709/}\n}\n", "homepage": "https://github.com/chaojiang06/wiki-auto", "license": "CC-BY-SA 3.0", "features": {"normal_sentence": {"dtype": "string", "id": null, "_type": "Value"}, "simple_sentence": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_auto", "config_name": "auto_acl", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"full": {"name": "full", "num_bytes": 121975414, "num_examples": 488332, "dataset_name": "wiki_auto"}}, "download_checksums": {"https://github.com/chaojiang06/wiki-auto/raw/master/wiki-auto/ACL2020/train.src": {"num_bytes": 70209062, "checksum": "02141edbb735be50c9942f5e0bced4528dc8d844753d46a1f3bdf0b6e550c0e6"}, "https://github.com/chaojiang06/wiki-auto/raw/master/wiki-auto/ACL2020/train.dst": {"num_bytes": 47859304, "checksum": "d9e2106722e2e29f34d5d9b697c236b38e920724727cefb71f42072dd9fd8807"}}, "download_size": 118068366, "post_processing_size": null, "dataset_size": 121975414, "size_in_bytes": 240043780}, "auto": {"description": "WikiAuto provides a set of aligned sentences from English Wikipedia and Simple English Wikipedia\nas a resource to train sentence simplification systems. 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Tetreault},\n  title     = {Neural {CRF} Model for Sentence Alignment in Text Simplification},\n  booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational\n               Linguistics, {ACL} 2020, Online, July 5-10, 2020},\n  pages     = {7943--7960},\n  publisher = {Association for Computational Linguistics},\n  year      = {2020},\n  url       = {https://www.aclweb.org/anthology/2020.acl-main.709/}\n}\n", "homepage": "https://github.com/chaojiang06/wiki-auto", "license": "CC-BY-SA 3.0", "features": {"example_id": {"dtype": "string", "id": null, "_type": "Value"}, "normal": {"normal_article_id": {"dtype": "int32", "id": null, "_type": "Value"}, "normal_article_title": {"dtype": "string", "id": null, "_type": "Value"}, "normal_article_url": {"dtype": "string", "id": null, "_type": "Value"}, "normal_article_content": {"feature": {"normal_sentence_id": {"dtype": "string", "id": null, "_type": "Value"}, "normal_sentence": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "simple": {"simple_article_id": {"dtype": "int32", "id": null, "_type": "Value"}, "simple_article_title": {"dtype": "string", "id": null, "_type": "Value"}, "simple_article_url": {"dtype": "string", "id": null, "_type": "Value"}, "simple_article_content": {"feature": {"simple_sentence_id": {"dtype": "string", "id": null, "_type": "Value"}, "simple_sentence": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "paragraph_alignment": {"feature": {"normal_paragraph_id": {"dtype": "string", "id": null, "_type": "Value"}, "simple_paragraph_id": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}, "sentence_alignment": {"feature": {"normal_sentence_id": {"dtype": "string", "id": null, "_type": "Value"}, "simple_sentence_id": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_auto", "config_name": "auto", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"part_1": {"name": "part_1", "num_bytes": 1773240295, "num_examples": 125059, "dataset_name": "wiki_auto"}, "part_2": {"name": "part_2", "num_bytes": 80417651, "num_examples": 13036, "dataset_name": "wiki_auto"}}, "download_checksums": {"https://github.com/chaojiang06/wiki-auto/raw/master/wiki-auto/all_data/wiki-auto-part-1-data.json": {"num_bytes": 2067424750, "checksum": "136d8e113a773d3669228a57cae733fca079954daf0b3514505410c66d1a69b6"}, "https://github.com/chaojiang06/wiki-auto/raw/master/wiki-auto/all_data/wiki-auto-part-2-data.json": {"num_bytes": 93214171, "checksum": "94b33a11447c121a0ce7293de20fb969c36d8a62b31afc5873a4174ed17a1d4e"}}, "download_size": 2160638921, "post_processing_size": null, "dataset_size": 1853657946, "size_in_bytes": 4014296867}, "auto_full_no_split": {"description": "WikiAuto provides a set of aligned sentences from English Wikipedia and Simple English Wikipedia\nas a resource to train sentence simplification systems. 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Tetreault},\n  title     = {Neural {CRF} Model for Sentence Alignment in Text Simplification},\n  booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational\n               Linguistics, {ACL} 2020, Online, July 5-10, 2020},\n  pages     = {7943--7960},\n  publisher = {Association for Computational Linguistics},\n  year      = {2020},\n  url       = {https://www.aclweb.org/anthology/2020.acl-main.709/}\n}\n", "homepage": "https://github.com/chaojiang06/wiki-auto", "license": "CC-BY-SA 3.0", "features": {"normal_sentence": {"dtype": "string", "id": null, "_type": "Value"}, "simple_sentence": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_auto", "config_name": "auto_full_no_split", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"full": {"name": "full", "num_bytes": 146310611, "num_examples": 591994, "dataset_name": "wiki_auto"}}, "download_checksums": {"https://github.com/chaojiang06/wiki-auto/raw/master/wiki-auto/GEM2021/full_no_split/train.src": {"num_bytes": 86028898, "checksum": "48d820fc1e7bd7121edde04a2aedf62bb9069b9caed01b77b7cb3852cc6b33d0"}, "https://github.com/chaojiang06/wiki-auto/raw/master/wiki-auto/GEM2021/full_no_split/train.dst": {"num_bytes": 55545281, "checksum": "37b373c5ee8c3f4b844c9896f07fb6bb55a20a3d4a8e1a6b06a651b87a653415"}}, "download_size": 141574179, "post_processing_size": null, "dataset_size": 146310611, "size_in_bytes": 287884790}, "auto_full_with_split": {"description": "WikiAuto provides a set of aligned sentences from English Wikipedia and Simple English Wikipedia\nas a resource to train sentence simplification systems. The authors first crowd-sourced a set of manual alignments\nbetween sentences in a subset of the Simple English Wikipedia and their corresponding versions in English Wikipedia\n(this corresponds to the `manual` config), then trained a neural CRF system to predict these alignments.\nThe trained model was then applied to the other articles in Simple English Wikipedia with an English counterpart to\ncreate a larger corpus of aligned sentences (corresponding to the `auto`, `auto_acl`, `auto_full_no_split`, and `auto_full_with_split`  configs here).\n", "citation": "@inproceedings{acl/JiangMLZX20,\n  author    = {Chao Jiang and\n               Mounica Maddela and\n               Wuwei Lan and\n               Yang Zhong and\n               Wei Xu},\n  editor    = {Dan Jurafsky and\n               Joyce Chai and\n               Natalie Schluter and\n               Joel R. Tetreault},\n  title     = {Neural {CRF} Model for Sentence Alignment in Text Simplification},\n  booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational\n               Linguistics, {ACL} 2020, Online, July 5-10, 2020},\n  pages     = {7943--7960},\n  publisher = {Association for Computational Linguistics},\n  year      = {2020},\n  url       = {https://www.aclweb.org/anthology/2020.acl-main.709/}\n}\n", "homepage": "https://github.com/chaojiang06/wiki-auto", "license": "CC-BY-SA 3.0", "features": {"normal_sentence": {"dtype": "string", "id": null, "_type": "Value"}, "simple_sentence": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_auto", "config_name": "auto_full_with_split", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"full": {"name": "full", "num_bytes": 124549115, "num_examples": 483801, "dataset_name": "wiki_auto"}}, "download_checksums": {"https://github.com/chaojiang06/wiki-auto/raw/master/wiki-auto/GEM2021/full_with_split/train.src": {"num_bytes": 67389841, "checksum": "f70dd6083bf679254dfd6c1e14960ad2b526bc35596d9c87b0c636c0285ce8ac"}, "https://github.com/chaojiang06/wiki-auto/raw/master/wiki-auto/GEM2021/full_with_split/train.dst": {"num_bytes": 53288474, "checksum": "74529cfc316c8a3ed7720f87e25d0758620e0e838a5747ec4a1bbdccef018f75"}}, "download_size": 120678315, "post_processing_size": null, "dataset_size": 124549115, "size_in_bytes": 245227430}}

dummy/auto_full_no_split/1.0.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1b0a237dd5adb45e4407eac11274b0da20fda345ad2f2acb0df8cfa725cc682e
+size 983

dummy/auto_full_with_split/1.0.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8600e06b2762e11ffcfaf9600edb585fb3a0fbfaadf7be1405281a408c5a344
+size 1521

wiki_auto.py

@@ -50,7 +50,7 @@ as a resource to train sentence simplification systems. The authors first crowd-
 between sentences in a subset of the Simple English Wikipedia and their corresponding versions in English Wikipedia
 (this corresponds to the `manual` config), then trained a neural CRF system to predict these alignments.
 The trained model was then applied to the other articles in Simple English Wikipedia with an English counterpart to
-create a larger corpus of aligned sentences (corresponding to the `auto` and `auto_acl` configs here).
+create a larger corpus of aligned sentences (corresponding to the `auto`, `auto_acl`, `auto_full_no_split`, and `auto_full_with_split`  configs here).
 """
 
 # TODO: Add the licence for the dataset here if you can find it
@@ -69,6 +69,14 @@ _URLs = {
         "normal": "https://github.com/chaojiang06/wiki-auto/raw/master/wiki-auto/ACL2020/train.src",
         "simple": "https://github.com/chaojiang06/wiki-auto/raw/master/wiki-auto/ACL2020/train.dst",
     },
+    "auto_full_no_split": {
+        "normal": "https://github.com/chaojiang06/wiki-auto/raw/master/wiki-auto/GEM2021/full_no_split/train.src",
+        "simple": "https://github.com/chaojiang06/wiki-auto/raw/master/wiki-auto/GEM2021/full_no_split/train.dst",
+    },
+    "auto_full_with_split": {
+        "normal": "https://github.com/chaojiang06/wiki-auto/raw/master/wiki-auto/GEM2021/full_with_split/train.src",
+        "simple": "https://github.com/chaojiang06/wiki-auto/raw/master/wiki-auto/GEM2021/full_with_split/train.dst",
+    },
     "auto": {
         "part_1": "https://github.com/chaojiang06/wiki-auto/raw/master/wiki-auto/all_data/wiki-auto-part-1-data.json",
         "part_2": "https://github.com/chaojiang06/wiki-auto/raw/master/wiki-auto/all_data/wiki-auto-part-2-data.json",
@@ -89,7 +97,19 @@ class WikiAuto(datasets.GeneratorBasedBuilder):
             description="A set of 10K Wikipedia sentence pairs aligned by crowd workers.",
         ),
         datasets.BuilderConfig(
-            name="auto_acl", version=VERSION, description="Sentence pairs aligned to train the ACL2020 system."
+            name="auto_acl",
+            version=VERSION,
+            description="Automatically aligned and filtered sentence pairs used to train the ACL2020 system.",
+        ),
+        datasets.BuilderConfig(
+            name="auto_full_no_split",
+            version=VERSION,
+            description="All automatically aligned sentence pairs without sentence splitting.",
+        ),
+        datasets.BuilderConfig(
+            name="auto_full_with_split",
+            version=VERSION,
+            description="All automatically aligned sentence pairs with sentence splitting.",
         ),
         datasets.BuilderConfig(
             name="auto", version=VERSION, description="A large set of automatically aligned sentence pairs."
@@ -109,7 +129,11 @@ class WikiAuto(datasets.GeneratorBasedBuilder):
                     "simple_sentence": datasets.Value("string"),
                 }
             )
-        elif self.config.name == "auto_acl":
+        elif (
+            self.config.name == "auto_acl"
+            or self.config.name == "auto_full_no_split"
+            or self.config.name == "auto_full_with_split"
+        ):
             features = datasets.Features(
                 {
                     "normal_sentence": datasets.Value("string"),
@@ -201,7 +225,11 @@ class WikiAuto(datasets.GeneratorBasedBuilder):
                     values = line.strip().split("\t")
                     assert len(values) == 5, f"Not enough fields in ---- {line} --- {values}"
                     yield id_, dict([(k, val) for k, val in zip(keys, values)])
-        elif self.config.name == "auto_acl":
+        elif (
+            self.config.name == "auto_acl"
+            or self.config.name == "auto_full_no_split"
+            or self.config.name == "auto_full_with_split"
+        ):
             with open(filepaths["normal"], encoding="utf-8") as fi:
                 with open(filepaths["simple"], encoding="utf-8") as fo:
                     for id_, (norm_se, simp_se) in enumerate(zip(fi, fo)):