Update files from the datasets library (from 1.2.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

.gitattributes

@@ -0,0 +1,27 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,167 @@
+---
+annotations_creators:
+- crowdsourced
+language_creators:
+- crowdsourced
+languages:
+- en
+licenses:
+- cc-by-sa-4-0
+multilinguality:
+- monolingual
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- conditional-text-generation
+task_ids:
+- summarization
+---
+
+# Dataset Card Creation Guide
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [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)
+
+## Dataset Description
+
+- **Homepage:** [Wiki Asp](https://github.com/neulab/wikiasp)
+- **Repository:** [GitHub](https://github.com/neulab/wikiasp)
+- **Paper:** [WikiAsp: A Dataset for Multi-domain Aspect-based Summarization](https://arxiv.org/abs/2011.07832)
+
+### Dataset Summary
+
+[More Information Needed]
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+[More Information Needed]
+
+## Dataset Structure
+
+### Data Instances
+
+An example from the "plant" configuration:
+```
+{
+    'exid': 'train-78-8',
+    'inputs': ['< EOT > calcareous rocks and barrens , wooded cliff edges .',
+        'plant an erect short - lived perennial ( or biennial ) herb whose slender leafy stems radiate from the base , and are 3 - 5 dm tall , giving it a bushy appearance .',
+        'leaves densely hairy , grayish - green , simple and alternate on the stem .',
+        'flowers are bright yellow to yellow - orange , cross - shaped , each having 4 spatula - shaped petals about 5 mm long .',
+        'fruit is a nearly globe - shaped capsule , about 3 mm in diameter , with 1 or 2 seeds in each cell .',
+        'flowering period : early april to late may .',
+        'even though there are many members of the mustard family in the range of this species , no other plant shares this combination of characters : bright yellow flowers , grayish - green stems and foliage , globe - shaped fruits with a long style , perennial habit , and the habitat of limestone rocky cliffs .',
+        'timber removal may be beneficial and even needed to maintain the open character of the habitat for this species .',
+        'hand removal of trees in the vicinity of the population is necessary to avoid impacts from timber operations .',
+        'southwest indiana , north central kentucky , and north central tennessee .',
+        'email : naturepreserves @ ky . gov feedback naturepreserves @ ky . gov | about the agency | about this site copyright © 2003 - 2013 commonwealth of kentucky .',
+        'all rights reserved .',
+        '<EOS>'
+    ],
+    'targets': [
+        ['description',
+            'physaria globosa is a small plant covered with dense hairs giving it a grayish appearance . it produces yellow flowers in the spring , and its fruit is globe - shaped . its preferred habitat is dry limestone cliffs , barrens , cedar glades , steep wooded slopes , and talus areas . some have also been found in areas of deeper soil and roadsides .'
+        ],
+        ['conservation',
+            'the population fluctuates year to year , but on average there are about 2000 living plants at any one time , divided among 33 known locations . threats include forms of habitat degradation and destruction , including road construction and grading , mowing , dumping , herbicides , alteration of waterways , livestock damage , and invasive species of plants such as japanese honeysuckle , garlic mustard , alsike clover , sweet clover , meadow fescue , and multiflora rose . all populations are considered vulnerable to extirpation .'
+        ]
+    ]
+}
+```
+
+### Data Fields
+
+- `exid`: a unique identifier
+- `input`: the cited references and consists of tokenized sentences (with NLTK) 
+- `targets`: a list of aspect-based summaries, where each element is a pair of a) the target aspect and b) the aspect-based summary
+
+### Data Splits
+
+[More Information Needed]
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+[More Information Needed]
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+[More Information Needed]
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+[More Information Needed]

dataset_infos.json

@@ -0,0 +1 @@
+{"album": {"description": "WikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic\ndomain. In this task, models are asked to summarize cited reference documents of a\nWikipedia article into aspect-based summaries. Each of the 20 domains include 10\ndomain-specific pre-defined aspects.\n", "citation": "@article{hayashi20tacl,\n  title   = {WikiAsp: A Dataset for Multi-domain Aspect-based Summarization},\n  authors = {Hiroaki Hayashi and Prashant Budania and Peng Wang and Chris Ackerson and Raj Neervannan and Graham Neubig},\n  journal = {Transactions of the Association for Computational Linguistics (TACL)},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2011.07832}\n}\n", "homepage": "https://github.com/neulab/wikiasp", "license": "CC BY-SA 4.0", "features": {"exid": {"dtype": "string", "id": null, "_type": "Value"}, "inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "targets": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_asp", "config_name": "album", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1907323642, "num_examples": 24434, "dataset_name": "wiki_asp"}, "test": {"name": "test", "num_bytes": 232999001, "num_examples": 3038, "dataset_name": "wiki_asp"}, "validation": {"name": "validation", "num_bytes": 234990092, "num_examples": 3104, "dataset_name": "wiki_asp"}}, "download_checksums": {"http://phontron.com/download/wikiasp/Album.tar.bz2": {"num_bytes": 644173065, "checksum": "ec3076e3979438ca331d38f7fbcd1c00fc4149e7ace9002ea848e1c56c57abec"}}, "download_size": 644173065, "post_processing_size": null, "dataset_size": 2375312735, "size_in_bytes": 3019485800}, "animal": {"description": "WikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic\ndomain. In this task, models are asked to summarize cited reference documents of a\nWikipedia article into aspect-based summaries. Each of the 20 domains include 10\ndomain-specific pre-defined aspects.\n", "citation": "@article{hayashi20tacl,\n  title   = {WikiAsp: A Dataset for Multi-domain Aspect-based Summarization},\n  authors = {Hiroaki Hayashi and Prashant Budania and Peng Wang and Chris Ackerson and Raj Neervannan and Graham Neubig},\n  journal = {Transactions of the Association for Computational Linguistics (TACL)},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2011.07832}\n}\n", "homepage": "https://github.com/neulab/wikiasp", "license": "CC BY-SA 4.0", "features": {"exid": {"dtype": "string", "id": null, "_type": "Value"}, "inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "targets": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_asp", "config_name": "animal", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 497474133, "num_examples": 16540, "dataset_name": "wiki_asp"}, "test": {"name": "test", "num_bytes": 61315970, "num_examples": 2007, "dataset_name": "wiki_asp"}, "validation": {"name": "validation", "num_bytes": 57943532, "num_examples": 2005, "dataset_name": "wiki_asp"}}, "download_checksums": {"http://phontron.com/download/wikiasp/Animal.tar.bz2": {"num_bytes": 150974930, "checksum": "8e7b444e34c3e7be3e4eb10fcfb0d0f06e92f50cfb91a18f9680e5fb5c9f03fb"}}, "download_size": 150974930, "post_processing_size": null, "dataset_size": 616733635, "size_in_bytes": 767708565}, "artist": {"description": "WikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic\ndomain. In this task, models are asked to summarize cited reference documents of a\nWikipedia article into aspect-based summaries. Each of the 20 domains include 10\ndomain-specific pre-defined aspects.\n", "citation": "@article{hayashi20tacl,\n  title   = {WikiAsp: A Dataset for Multi-domain Aspect-based Summarization},\n  authors = {Hiroaki Hayashi and Prashant Budania and Peng Wang and Chris Ackerson and Raj Neervannan and Graham Neubig},\n  journal = {Transactions of the Association for Computational Linguistics (TACL)},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2011.07832}\n}\n", "homepage": "https://github.com/neulab/wikiasp", "license": "CC BY-SA 4.0", "features": {"exid": {"dtype": "string", "id": null, "_type": "Value"}, "inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "targets": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_asp", "config_name": "artist", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1876134255, "num_examples": 26754, "dataset_name": "wiki_asp"}, "test": {"name": "test", "num_bytes": 237751553, "num_examples": 3329, "dataset_name": "wiki_asp"}, "validation": {"name": "validation", "num_bytes": 223240910, "num_examples": 3194, "dataset_name": "wiki_asp"}}, "download_checksums": {"http://phontron.com/download/wikiasp/Artist.tar.bz2": {"num_bytes": 626686303, "checksum": "33a4e6402062a115f85e0ce41388c2fdb5e2beee07ca28cdde2cdcfb68aff2a7"}}, "download_size": 626686303, "post_processing_size": null, "dataset_size": 2337126718, "size_in_bytes": 2963813021}, "building": {"description": "WikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic\ndomain. In this task, models are asked to summarize cited reference documents of a\nWikipedia article into aspect-based summaries. Each of the 20 domains include 10\ndomain-specific pre-defined aspects.\n", "citation": "@article{hayashi20tacl,\n  title   = {WikiAsp: A Dataset for Multi-domain Aspect-based Summarization},\n  authors = {Hiroaki Hayashi and Prashant Budania and Peng Wang and Chris Ackerson and Raj Neervannan and Graham Neubig},\n  journal = {Transactions of the Association for Computational Linguistics (TACL)},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2011.07832}\n}\n", "homepage": "https://github.com/neulab/wikiasp", "license": "CC BY-SA 4.0", "features": {"exid": {"dtype": "string", "id": null, "_type": "Value"}, "inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "targets": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_asp", "config_name": "building", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1100057273, "num_examples": 20449, "dataset_name": "wiki_asp"}, "test": {"name": "test", "num_bytes": 134357678, "num_examples": 2482, "dataset_name": "wiki_asp"}, "validation": {"name": "validation", "num_bytes": 139387376, "num_examples": 2607, "dataset_name": "wiki_asp"}}, "download_checksums": {"http://phontron.com/download/wikiasp/Building.tar.bz2": {"num_bytes": 346224042, "checksum": "31a008d22a7853cf4c1a1b11dee8247ff554b148316d1f955a1c0585dbe61f3f"}}, "download_size": 346224042, "post_processing_size": null, "dataset_size": 1373802327, "size_in_bytes": 1720026369}, "company": {"description": "WikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic\ndomain. In this task, models are asked to summarize cited reference documents of a\nWikipedia article into aspect-based summaries. Each of the 20 domains include 10\ndomain-specific pre-defined aspects.\n", "citation": "@article{hayashi20tacl,\n  title   = {WikiAsp: A Dataset for Multi-domain Aspect-based Summarization},\n  authors = {Hiroaki Hayashi and Prashant Budania and Peng Wang and Chris Ackerson and Raj Neervannan and Graham Neubig},\n  journal = {Transactions of the Association for Computational Linguistics (TACL)},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2011.07832}\n}\n", "homepage": "https://github.com/neulab/wikiasp", "license": "CC BY-SA 4.0", "features": {"exid": {"dtype": "string", "id": null, "_type": "Value"}, "inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "targets": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_asp", "config_name": "company", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1606057076, "num_examples": 24353, "dataset_name": "wiki_asp"}, "test": {"name": "test", "num_bytes": 199282041, "num_examples": 3029, "dataset_name": "wiki_asp"}, "validation": {"name": "validation", "num_bytes": 200498778, "num_examples": 2946, "dataset_name": "wiki_asp"}}, "download_checksums": {"http://phontron.com/download/wikiasp/Company.tar.bz2": {"num_bytes": 504194353, "checksum": "59214a695e62b7802bfe2e6ce11e428a66c0e2ad7397a486d4dffef0ac1c5cc3"}}, "download_size": 504194353, "post_processing_size": null, "dataset_size": 2005837895, "size_in_bytes": 2510032248}, "educational_institution": {"description": "WikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic\ndomain. In this task, models are asked to summarize cited reference documents of a\nWikipedia article into aspect-based summaries. Each of the 20 domains include 10\ndomain-specific pre-defined aspects.\n", "citation": "@article{hayashi20tacl,\n  title   = {WikiAsp: A Dataset for Multi-domain Aspect-based Summarization},\n  authors = {Hiroaki Hayashi and Prashant Budania and Peng Wang and Chris Ackerson and Raj Neervannan and Graham Neubig},\n  journal = {Transactions of the Association for Computational Linguistics (TACL)},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2011.07832}\n}\n", "homepage": "https://github.com/neulab/wikiasp", "license": "CC BY-SA 4.0", "features": {"exid": {"dtype": "string", "id": null, "_type": "Value"}, "inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "targets": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_asp", "config_name": "educational_institution", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1623000534, "num_examples": 17634, "dataset_name": "wiki_asp"}, "test": {"name": "test", "num_bytes": 200476681, "num_examples": 2267, "dataset_name": "wiki_asp"}, "validation": {"name": "validation", "num_bytes": 203262430, "num_examples": 2141, "dataset_name": "wiki_asp"}}, "download_checksums": {"http://phontron.com/download/wikiasp/EducationalInstitution.tar.bz2": {"num_bytes": 471033992, "checksum": "603befa19fce03cde1027db4373693d77318dd7eae54a432867a2c7f06d993de"}}, "download_size": 471033992, "post_processing_size": null, "dataset_size": 2026739645, "size_in_bytes": 2497773637}, "event": {"description": "WikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic\ndomain. In this task, models are asked to summarize cited reference documents of a\nWikipedia article into aspect-based summaries. Each of the 20 domains include 10\ndomain-specific pre-defined aspects.\n", "citation": "@article{hayashi20tacl,\n  title   = {WikiAsp: A Dataset for Multi-domain Aspect-based Summarization},\n  authors = {Hiroaki Hayashi and Prashant Budania and Peng Wang and Chris Ackerson and Raj Neervannan and Graham Neubig},\n  journal = {Transactions of the Association for Computational Linguistics (TACL)},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2011.07832}\n}\n", "homepage": "https://github.com/neulab/wikiasp", "license": "CC BY-SA 4.0", "features": {"exid": {"dtype": "string", "id": null, "_type": "Value"}, "inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "targets": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_asp", "config_name": "event", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 748201660, "num_examples": 6475, "dataset_name": "wiki_asp"}, "test": {"name": "test", "num_bytes": 96212295, "num_examples": 828, "dataset_name": "wiki_asp"}, "validation": {"name": "validation", "num_bytes": 97431395, "num_examples": 807, "dataset_name": "wiki_asp"}}, "download_checksums": {"http://phontron.com/download/wikiasp/Event.tar.bz2": {"num_bytes": 240072903, "checksum": "f90cee3b02e3e542cf9b08a37b7af1918467dd0e9bff080ffbc3fefc7bc7a672"}}, "download_size": 240072903, "post_processing_size": null, "dataset_size": 941845350, "size_in_bytes": 1181918253}, "film": {"description": "WikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic\ndomain. In this task, models are asked to summarize cited reference documents of a\nWikipedia article into aspect-based summaries. Each of the 20 domains include 10\ndomain-specific pre-defined aspects.\n", "citation": "@article{hayashi20tacl,\n  title   = {WikiAsp: A Dataset for Multi-domain Aspect-based Summarization},\n  authors = {Hiroaki Hayashi and Prashant Budania and Peng Wang and Chris Ackerson and Raj Neervannan and Graham Neubig},\n  journal = {Transactions of the Association for Computational Linguistics (TACL)},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2011.07832}\n}\n", "homepage": "https://github.com/neulab/wikiasp", "license": "CC BY-SA 4.0", "features": {"exid": {"dtype": "string", "id": null, "_type": "Value"}, "inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "targets": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_asp", "config_name": "film", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2370068027, "num_examples": 32129, "dataset_name": "wiki_asp"}, "test": {"name": "test", "num_bytes": 294918370, "num_examples": 3981, "dataset_name": "wiki_asp"}, "validation": {"name": "validation", "num_bytes": 290240851, "num_examples": 4014, "dataset_name": "wiki_asp"}}, "download_checksums": {"http://phontron.com/download/wikiasp/Film.tar.bz2": {"num_bytes": 808231638, "checksum": "4e849cc085540119ea61f67ad581795fca8dafaa8f6e8c51a5e7af314aa42c0c"}}, "download_size": 808231638, "post_processing_size": null, "dataset_size": 2955227248, "size_in_bytes": 3763458886}, "group": {"description": "WikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic\ndomain. In this task, models are asked to summarize cited reference documents of a\nWikipedia article into aspect-based summaries. Each of the 20 domains include 10\ndomain-specific pre-defined aspects.\n", "citation": "@article{hayashi20tacl,\n  title   = {WikiAsp: A Dataset for Multi-domain Aspect-based Summarization},\n  authors = {Hiroaki Hayashi and Prashant Budania and Peng Wang and Chris Ackerson and Raj Neervannan and Graham Neubig},\n  journal = {Transactions of the Association for Computational Linguistics (TACL)},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2011.07832}\n}\n", "homepage": "https://github.com/neulab/wikiasp", "license": "CC BY-SA 4.0", "features": {"exid": {"dtype": "string", "id": null, "_type": "Value"}, "inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "targets": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_asp", "config_name": "group", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1025166800, "num_examples": 11966, "dataset_name": "wiki_asp"}, "test": {"name": "test", "num_bytes": 114239405, "num_examples": 1444, "dataset_name": "wiki_asp"}, "validation": {"name": "validation", "num_bytes": 120863870, "num_examples": 1462, "dataset_name": "wiki_asp"}}, "download_checksums": {"http://phontron.com/download/wikiasp/Group.tar.bz2": {"num_bytes": 344498865, "checksum": "1269d3bbcdf3b106f2600f0e923ac34eb208307c183184f240243bd83f9ba094"}}, "download_size": 344498865, "post_processing_size": null, "dataset_size": 1260270075, "size_in_bytes": 1604768940}, "historic_place": {"description": "WikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic\ndomain. In this task, models are asked to summarize cited reference documents of a\nWikipedia article into aspect-based summaries. Each of the 20 domains include 10\ndomain-specific pre-defined aspects.\n", "citation": "@article{hayashi20tacl,\n  title   = {WikiAsp: A Dataset for Multi-domain Aspect-based Summarization},\n  authors = {Hiroaki Hayashi and Prashant Budania and Peng Wang and Chris Ackerson and Raj Neervannan and Graham Neubig},\n  journal = {Transactions of the Association for Computational Linguistics (TACL)},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2011.07832}\n}\n", "homepage": "https://github.com/neulab/wikiasp", "license": "CC BY-SA 4.0", "features": {"exid": {"dtype": "string", "id": null, "_type": "Value"}, "inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "targets": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_asp", "config_name": "historic_place", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 256158020, "num_examples": 4919, "dataset_name": "wiki_asp"}, "test": {"name": "test", "num_bytes": 31201154, "num_examples": 600, "dataset_name": "wiki_asp"}, "validation": {"name": "validation", "num_bytes": 29058067, "num_examples": 601, "dataset_name": "wiki_asp"}}, "download_checksums": {"http://phontron.com/download/wikiasp/HistoricPlace.tar.bz2": {"num_bytes": 77289509, "checksum": "257aa0633f810d1d551993eca288e27c8dfccd20020199d897556b4be2ed8e7a"}}, "download_size": 77289509, "post_processing_size": null, "dataset_size": 316417241, "size_in_bytes": 393706750}, "infrastructure": {"description": "WikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic\ndomain. In this task, models are asked to summarize cited reference documents of a\nWikipedia article into aspect-based summaries. Each of the 20 domains include 10\ndomain-specific pre-defined aspects.\n", "citation": "@article{hayashi20tacl,\n  title   = {WikiAsp: A Dataset for Multi-domain Aspect-based Summarization},\n  authors = {Hiroaki Hayashi and Prashant Budania and Peng Wang and Chris Ackerson and Raj Neervannan and Graham Neubig},\n  journal = {Transactions of the Association for Computational Linguistics (TACL)},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2011.07832}\n}\n", "homepage": "https://github.com/neulab/wikiasp", "license": "CC BY-SA 4.0", "features": {"exid": {"dtype": "string", "id": null, "_type": "Value"}, "inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "targets": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_asp", "config_name": "infrastructure", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1124486451, "num_examples": 17226, "dataset_name": "wiki_asp"}, "test": {"name": "test", "num_bytes": 134820330, "num_examples": 2091, "dataset_name": "wiki_asp"}, "validation": {"name": "validation", "num_bytes": 125193140, "num_examples": 1984, "dataset_name": "wiki_asp"}}, "download_checksums": {"http://phontron.com/download/wikiasp/Infrastructure.tar.bz2": {"num_bytes": 328804337, "checksum": "a9ef52b3216fa69e9d1c24353c87f5702f3ea06c97c0b1420add22d2686c02e4"}}, "download_size": 328804337, "post_processing_size": null, "dataset_size": 1384499921, "size_in_bytes": 1713304258}, "mean_of_transportation": {"description": "WikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic\ndomain. In this task, models are asked to summarize cited reference documents of a\nWikipedia article into aspect-based summaries. Each of the 20 domains include 10\ndomain-specific pre-defined aspects.\n", "citation": "@article{hayashi20tacl,\n  title   = {WikiAsp: A Dataset for Multi-domain Aspect-based Summarization},\n  authors = {Hiroaki Hayashi and Prashant Budania and Peng Wang and Chris Ackerson and Raj Neervannan and Graham Neubig},\n  journal = {Transactions of the Association for Computational Linguistics (TACL)},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2011.07832}\n}\n", "homepage": "https://github.com/neulab/wikiasp", "license": "CC BY-SA 4.0", "features": {"exid": {"dtype": "string", "id": null, "_type": "Value"}, "inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "targets": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_asp", "config_name": "mean_of_transportation", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 650424738, "num_examples": 9277, "dataset_name": "wiki_asp"}, "test": {"name": "test", "num_bytes": 89759392, "num_examples": 1170, "dataset_name": "wiki_asp"}, "validation": {"name": "validation", "num_bytes": 88440901, "num_examples": 1215, "dataset_name": "wiki_asp"}}, "download_checksums": {"http://phontron.com/download/wikiasp/MeanOfTransportation.tar.bz2": {"num_bytes": 210234418, "checksum": "a8a8e42bca6e0db465343f659724aedc8125b47c6291886a4df97a3896f969b4"}}, "download_size": 210234418, "post_processing_size": null, "dataset_size": 828625031, "size_in_bytes": 1038859449}, "office_holder": {"description": "WikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic\ndomain. In this task, models are asked to summarize cited reference documents of a\nWikipedia article into aspect-based summaries. Each of the 20 domains include 10\ndomain-specific pre-defined aspects.\n", "citation": "@article{hayashi20tacl,\n  title   = {WikiAsp: A Dataset for Multi-domain Aspect-based Summarization},\n  authors = {Hiroaki Hayashi and Prashant Budania and Peng Wang and Chris Ackerson and Raj Neervannan and Graham Neubig},\n  journal = {Transactions of the Association for Computational Linguistics (TACL)},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2011.07832}\n}\n", "homepage": "https://github.com/neulab/wikiasp", "license": "CC BY-SA 4.0", "features": {"exid": {"dtype": "string", "id": null, "_type": "Value"}, "inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "targets": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_asp", "config_name": "office_holder", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1643899203, "num_examples": 18177, "dataset_name": "wiki_asp"}, "test": {"name": "test", "num_bytes": 207433317, "num_examples": 2333, "dataset_name": "wiki_asp"}, "validation": {"name": "validation", "num_bytes": 202624275, "num_examples": 2218, "dataset_name": "wiki_asp"}}, "download_checksums": {"http://phontron.com/download/wikiasp/OfficeHolder.tar.bz2": {"num_bytes": 524721727, "checksum": "608a67ae3330e303d11a38067506a46d66f314f6390d985870db1a36fa5cf253"}}, "download_size": 524721727, "post_processing_size": null, "dataset_size": 2053956795, "size_in_bytes": 2578678522}, "plant": {"description": "WikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic\ndomain. In this task, models are asked to summarize cited reference documents of a\nWikipedia article into aspect-based summaries. Each of the 20 domains include 10\ndomain-specific pre-defined aspects.\n", "citation": "@article{hayashi20tacl,\n  title   = {WikiAsp: A Dataset for Multi-domain Aspect-based Summarization},\n  authors = {Hiroaki Hayashi and Prashant Budania and Peng Wang and Chris Ackerson and Raj Neervannan and Graham Neubig},\n  journal = {Transactions of the Association for Computational Linguistics (TACL)},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2011.07832}\n}\n", "homepage": "https://github.com/neulab/wikiasp", "license": "CC BY-SA 4.0", "features": {"exid": {"dtype": "string", "id": null, "_type": "Value"}, "inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "targets": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_asp", "config_name": "plant", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 239150885, "num_examples": 6107, "dataset_name": "wiki_asp"}, "test": {"name": "test", "num_bytes": 31340125, "num_examples": 774, "dataset_name": "wiki_asp"}, "validation": {"name": "validation", "num_bytes": 28752150, "num_examples": 786, "dataset_name": "wiki_asp"}}, "download_checksums": {"http://phontron.com/download/wikiasp/Plant.tar.bz2": {"num_bytes": 77890632, "checksum": "bdcd8c655ec94c33919d30b3bcb8e45f6d6b267af25a61caafd56a9a046a8871"}}, "download_size": 77890632, "post_processing_size": null, "dataset_size": 299243160, "size_in_bytes": 377133792}, "single": {"description": "WikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic\ndomain. In this task, models are asked to summarize cited reference documents of a\nWikipedia article into aspect-based summaries. Each of the 20 domains include 10\ndomain-specific pre-defined aspects.\n", "citation": "@article{hayashi20tacl,\n  title   = {WikiAsp: A Dataset for Multi-domain Aspect-based Summarization},\n  authors = {Hiroaki Hayashi and Prashant Budania and Peng Wang and Chris Ackerson and Raj Neervannan and Graham Neubig},\n  journal = {Transactions of the Association for Computational Linguistics (TACL)},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2011.07832}\n}\n", "homepage": "https://github.com/neulab/wikiasp", "license": "CC BY-SA 4.0", "features": {"exid": {"dtype": "string", "id": null, "_type": "Value"}, "inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "targets": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_asp", "config_name": "single", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1277277277, "num_examples": 14217, "dataset_name": "wiki_asp"}, "test": {"name": "test", "num_bytes": 152328537, "num_examples": 1712, "dataset_name": "wiki_asp"}, "validation": {"name": "validation", "num_bytes": 160312594, "num_examples": 1734, "dataset_name": "wiki_asp"}}, "download_checksums": {"http://phontron.com/download/wikiasp/Single.tar.bz2": {"num_bytes": 429214401, "checksum": "f1c96a5e8e14fc617a15350865a93e674b469434aeb6a439a0b1eb53dc8d18db"}}, "download_size": 429214401, "post_processing_size": null, "dataset_size": 1589918408, "size_in_bytes": 2019132809}, "soccer_player": {"description": "WikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic\ndomain. In this task, models are asked to summarize cited reference documents of a\nWikipedia article into aspect-based summaries. Each of the 20 domains include 10\ndomain-specific pre-defined aspects.\n", "citation": "@article{hayashi20tacl,\n  title   = {WikiAsp: A Dataset for Multi-domain Aspect-based Summarization},\n  authors = {Hiroaki Hayashi and Prashant Budania and Peng Wang and Chris Ackerson and Raj Neervannan and Graham Neubig},\n  journal = {Transactions of the Association for Computational Linguistics (TACL)},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2011.07832}\n}\n", "homepage": "https://github.com/neulab/wikiasp", "license": "CC BY-SA 4.0", "features": {"exid": {"dtype": "string", "id": null, "_type": "Value"}, "inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "targets": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_asp", "config_name": "soccer_player", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 604502541, "num_examples": 17599, "dataset_name": "wiki_asp"}, "test": {"name": "test", "num_bytes": 72820378, "num_examples": 2280, "dataset_name": "wiki_asp"}, "validation": {"name": "validation", "num_bytes": 76705685, "num_examples": 2150, "dataset_name": "wiki_asp"}}, "download_checksums": {"http://phontron.com/download/wikiasp/SoccerPlayer.tar.bz2": {"num_bytes": 193347234, "checksum": "161be8b7a615a4a837b71f01f5d58274a334bd9bee6e0464ab196956d03d2638"}}, "download_size": 193347234, "post_processing_size": null, "dataset_size": 754028604, "size_in_bytes": 947375838}, "software": {"description": "WikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic\ndomain. In this task, models are asked to summarize cited reference documents of a\nWikipedia article into aspect-based summaries. Each of the 20 domains include 10\ndomain-specific pre-defined aspects.\n", "citation": "@article{hayashi20tacl,\n  title   = {WikiAsp: A Dataset for Multi-domain Aspect-based Summarization},\n  authors = {Hiroaki Hayashi and Prashant Budania and Peng Wang and Chris Ackerson and Raj Neervannan and Graham Neubig},\n  journal = {Transactions of the Association for Computational Linguistics (TACL)},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2011.07832}\n}\n", "homepage": "https://github.com/neulab/wikiasp", "license": "CC BY-SA 4.0", "features": {"exid": {"dtype": "string", "id": null, "_type": "Value"}, "inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "targets": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_asp", "config_name": "software", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1122906186, "num_examples": 13516, "dataset_name": "wiki_asp"}, "test": {"name": "test", "num_bytes": 133717992, "num_examples": 1638, "dataset_name": "wiki_asp"}, "validation": {"name": "validation", "num_bytes": 134578157, "num_examples": 1637, "dataset_name": "wiki_asp"}}, "download_checksums": {"http://phontron.com/download/wikiasp/Software.tar.bz2": {"num_bytes": 356764908, "checksum": "4cd469f23b00592b37002d81eb23a1cabf06bee9e353460aeb9055e693dd4d08"}}, "download_size": 356764908, "post_processing_size": null, "dataset_size": 1391202335, "size_in_bytes": 1747967243}, "television_show": {"description": "WikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic\ndomain. In this task, models are asked to summarize cited reference documents of a\nWikipedia article into aspect-based summaries. Each of the 20 domains include 10\ndomain-specific pre-defined aspects.\n", "citation": "@article{hayashi20tacl,\n  title   = {WikiAsp: A Dataset for Multi-domain Aspect-based Summarization},\n  authors = {Hiroaki Hayashi and Prashant Budania and Peng Wang and Chris Ackerson and Raj Neervannan and Graham Neubig},\n  journal = {Transactions of the Association for Computational Linguistics (TACL)},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2011.07832}\n}\n", "homepage": "https://github.com/neulab/wikiasp", "license": "CC BY-SA 4.0", "features": {"exid": {"dtype": "string", "id": null, "_type": "Value"}, "inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "targets": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_asp", "config_name": "television_show", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 893325347, "num_examples": 8717, "dataset_name": "wiki_asp"}, "test": {"name": "test", "num_bytes": 115155155, "num_examples": 1072, "dataset_name": "wiki_asp"}, "validation": {"name": "validation", "num_bytes": 119461892, "num_examples": 1128, "dataset_name": "wiki_asp"}}, "download_checksums": {"http://phontron.com/download/wikiasp/TelevisionShow.tar.bz2": {"num_bytes": 302093407, "checksum": "958b264870549be307a4ef0b222d23e45b2670dec7639e5bc150f8f98632cc36"}}, "download_size": 302093407, "post_processing_size": null, "dataset_size": 1127942394, "size_in_bytes": 1430035801}, "town": {"description": "WikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic\ndomain. In this task, models are asked to summarize cited reference documents of a\nWikipedia article into aspect-based summaries. Each of the 20 domains include 10\ndomain-specific pre-defined aspects.\n", "citation": "@article{hayashi20tacl,\n  title   = {WikiAsp: A Dataset for Multi-domain Aspect-based Summarization},\n  authors = {Hiroaki Hayashi and Prashant Budania and Peng Wang and Chris Ackerson and Raj Neervannan and Graham Neubig},\n  journal = {Transactions of the Association for Computational Linguistics (TACL)},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2011.07832}\n}\n", "homepage": "https://github.com/neulab/wikiasp", "license": "CC BY-SA 4.0", "features": {"exid": {"dtype": "string", "id": null, "_type": "Value"}, "inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "targets": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_asp", "config_name": "town", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 772504751, "num_examples": 14818, "dataset_name": "wiki_asp"}, "test": {"name": "test", "num_bytes": 100975827, "num_examples": 1831, "dataset_name": "wiki_asp"}, "validation": {"name": "validation", "num_bytes": 101522638, "num_examples": 1911, "dataset_name": "wiki_asp"}}, "download_checksums": {"http://phontron.com/download/wikiasp/Town.tar.bz2": {"num_bytes": 243261734, "checksum": "b71d50011d50f7b9131a7cc0f28a0da97c6d2f4421f2b8c7d86e329d85492504"}}, "download_size": 243261734, "post_processing_size": null, "dataset_size": 975003216, "size_in_bytes": 1218264950}, "written_work": {"description": "WikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic\ndomain. In this task, models are asked to summarize cited reference documents of a\nWikipedia article into aspect-based summaries. Each of the 20 domains include 10\ndomain-specific pre-defined aspects.\n", "citation": "@article{hayashi20tacl,\n  title   = {WikiAsp: A Dataset for Multi-domain Aspect-based Summarization},\n  authors = {Hiroaki Hayashi and Prashant Budania and Peng Wang and Chris Ackerson and Raj Neervannan and Graham Neubig},\n  journal = {Transactions of the Association for Computational Linguistics (TACL)},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2011.07832}\n}\n", "homepage": "https://github.com/neulab/wikiasp", "license": "CC BY-SA 4.0", "features": {"exid": {"dtype": "string", "id": null, "_type": "Value"}, "inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "targets": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "wiki_asp", "config_name": "written_work", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1491395960, "num_examples": 15065, "dataset_name": "wiki_asp"}, "test": {"name": "test", "num_bytes": 189537205, "num_examples": 1931, "dataset_name": "wiki_asp"}, "validation": {"name": "validation", "num_bytes": 185707567, "num_examples": 1843, "dataset_name": "wiki_asp"}}, "download_checksums": {"http://phontron.com/download/wikiasp/WrittenWork.tar.bz2": {"num_bytes": 498307235, "checksum": "77d59d38d1477f90a9719af69be069e22b6261e8c2a0b602c3572a15e9dfcd41"}}, "download_size": 498307235, "post_processing_size": null, "dataset_size": 1866640732, "size_in_bytes": 2364947967}}

dummy/album/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f7a95301cfc72da6df41dcc0ee94241f7e53f8be1a560014ef8cd614c7e4601b
+size 17429

dummy/animal/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:117c71f6809cee8ef7f5c19f0640e8ab513d48a1590f963167861a8b670af4db
+size 16557

dummy/artist/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b7ed5ccb4e5e075fdc863d22f6af616e4f3c2a0c8124d76554081243415a593
+size 24039

dummy/building/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb5e62acb1bfc4d8e8ad9425da99c9ba24b8a3b24bfbb7ed7c27e9dc0c6a0a8d
+size 25505

dummy/company/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9843729333677506bd2352e6700a609edba3d7bdcab2f2c89aae599fb197c381
+size 23495

dummy/educational_institution/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:25ce936ca6773cf3c068d1112254504b07248c5be9ca025c1ee4a8ceb95f2cda
+size 23216

dummy/event/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c129e517b56ab9a9681835dbae79aebaaa1cc6909f2756227e7648fe4a9347a
+size 23986

dummy/film/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:da03adecbd5a6602584f73dcc575a10489fc43ff7df980e139bb67fbba2abf6b
+size 28579

dummy/group/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:79d490d0bf1ac0cf4bd883947f134eb7168ec585b97801f744dd7edf847551c6
+size 21335

dummy/historic_place/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:82d1a8b9c739a5de6c2a15065faca883e4227e60b9c8eb5aada62be14854dde3
+size 41101

dummy/infrastructure/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a91ea124b249dbbb4fde43dade9f3e17fda2c199e05e542ae29c8864df9e0a4c
+size 20863

dummy/mean_of_transportation/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4b09fd0aeb9d1d2cb73c60c167f78275e1967e2b60c795c4ae815d5806a0c882
+size 33093

dummy/office_holder/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e95fbb7928fbbfec77b1bea10386cc8b98f5c616ee3b9c33fe6771d806e0ccac
+size 19266

dummy/plant/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0dbacb9ffc2f519a0492366ba599fedd65de9ff92a1ba4d2df3a161d0f05a682
+size 14991

dummy/single/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e07bde4339c2c2b8b4c4fecaf29dd8562ded15c6cc79009699927c86652a2967
+size 18601

dummy/soccer_player/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:722ada657bf24f53c128e4ba29d1c60043824293766d893a79b18caf67604a6b
+size 16250

dummy/software/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:285bdbb01ad0f6585371014d50f8afb362fbefac259e9cccb2234e44c7065014
+size 18091

dummy/television_show/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b20a14ec699cb19fac1e174cc5684877dec2a616ca6fcf58da79e9003ea53956
+size 20614

dummy/town/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:17ca95f6d2b7c730e15b9aeab1aecd9b738289c62d567bb3ee7c513eac554a97
+size 24835

dummy/written_work/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e4c99b4820d19e2953115f4cb0296e106acb1d07c0d86e351c384a6759eccddf
+size 29352

wiki_asp.py

@@ -0,0 +1,208 @@
+# coding=utf-8
+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# 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.
+"""Wiki Asp datasert for Multi-domain Aspect-based Summarization"""
+
+from __future__ import absolute_import, division, print_function
+
+import json
+import os
+
+import datasets
+
+
+# Find for instance the citation on arxiv or on the dataset repo/website
+_CITATION = """\
+@article{hayashi20tacl,
+  title   = {WikiAsp: A Dataset for Multi-domain Aspect-based Summarization},
+  authors = {Hiroaki Hayashi and Prashant Budania and Peng Wang and Chris Ackerson and Raj Neervannan and Graham Neubig},
+  journal = {Transactions of the Association for Computational Linguistics (TACL)},
+  year    = {2020},
+  url     = {https://arxiv.org/abs/2011.07832}
+}
+"""
+
+_DESCRIPTION = """\
+WikiAsp is a multi-domain, aspect-based summarization dataset in the encyclopedic
+domain. In this task, models are asked to summarize cited reference documents of a
+Wikipedia article into aspect-based summaries. Each of the 20 domains include 10
+domain-specific pre-defined aspects.
+"""
+
+_HOMEPAGE = "https://github.com/neulab/wikiasp"
+
+_LICENSE = "CC BY-SA 4.0"
+
+# Download links
+_URLs = {
+    "album": "http://phontron.com/download/wikiasp/Album.tar.bz2",
+    "animal": "http://phontron.com/download/wikiasp/Animal.tar.bz2",
+    "artist": "http://phontron.com/download/wikiasp/Artist.tar.bz2",
+    "building": "http://phontron.com/download/wikiasp/Building.tar.bz2",
+    "company": "http://phontron.com/download/wikiasp/Company.tar.bz2",
+    "educational_institution": "http://phontron.com/download/wikiasp/EducationalInstitution.tar.bz2",
+    "event": "http://phontron.com/download/wikiasp/Event.tar.bz2",
+    "film": "http://phontron.com/download/wikiasp/Film.tar.bz2",
+    "group": "http://phontron.com/download/wikiasp/Group.tar.bz2",
+    "historic_place": "http://phontron.com/download/wikiasp/HistoricPlace.tar.bz2",
+    "infrastructure": "http://phontron.com/download/wikiasp/Infrastructure.tar.bz2",
+    "mean_of_transportation": "http://phontron.com/download/wikiasp/MeanOfTransportation.tar.bz2",
+    "office_holder": "http://phontron.com/download/wikiasp/OfficeHolder.tar.bz2",
+    "plant": "http://phontron.com/download/wikiasp/Plant.tar.bz2",
+    "single": "http://phontron.com/download/wikiasp/Single.tar.bz2",
+    "soccer_player": "http://phontron.com/download/wikiasp/SoccerPlayer.tar.bz2",
+    "software": "http://phontron.com/download/wikiasp/Software.tar.bz2",
+    "television_show": "http://phontron.com/download/wikiasp/TelevisionShow.tar.bz2",
+    "town": "http://phontron.com/download/wikiasp/Town.tar.bz2",
+    "written_work": "http://phontron.com/download/wikiasp/WrittenWork.tar.bz2",
+}
+
+
+class WikiAsp(datasets.GeneratorBasedBuilder):
+    """TODO: Short description of my dataset."""
+
+    VERSION = datasets.Version("1.1.0")
+
+    # This is an example of a dataset with multiple configurations.
+    # If you don't want/need to define several sub-sets in your dataset,
+    # just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.
+
+    # If you need to make complex sub-parts in the datasets with configurable options
+    # You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
+    # BUILDER_CONFIG_CLASS = MyBuilderConfig
+
+    # You will  be able to load one or the other configurations in the following list with
+    # data = datasets.load_dataset('my_dataset', 'first_domain')
+    # data = datasets.load_dataset('my_dataset', 'second_domain')
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="album", version=VERSION, description="A subset of dataset from the musical album domain"
+        ),
+        datasets.BuilderConfig(
+            name="animal", version=VERSION, description="A subset of dataset from the animal domain"
+        ),
+        datasets.BuilderConfig(
+            name="artist", version=VERSION, description="A subset of dataset from the artist domain"
+        ),
+        datasets.BuilderConfig(
+            name="building", version=VERSION, description="A subset of dataset from the buildings domain"
+        ),
+        datasets.BuilderConfig(
+            name="company", version=VERSION, description="A subset of dataset from the company domain"
+        ),
+        datasets.BuilderConfig(
+            name="educational_institution",
+            version=VERSION,
+            description="A subset of dataset from the educational institution domain",
+        ),
+        datasets.BuilderConfig(
+            name="event", version=VERSION, description="A subset of dataset from the events domain"
+        ),
+        datasets.BuilderConfig(name="film", version=VERSION, description="A subset of dataset from the film domain"),
+        datasets.BuilderConfig(name="group", version=VERSION, description="A subset of dataset from the group domain"),
+        datasets.BuilderConfig(
+            name="historic_place", version=VERSION, description="A subset of dataset from the historic places domain"
+        ),
+        datasets.BuilderConfig(
+            name="infrastructure", version=VERSION, description="A subset of dataset from the infrastructure domain"
+        ),
+        datasets.BuilderConfig(
+            name="mean_of_transportation",
+            version=VERSION,
+            description="A subset of dataset from the transportation mean domain",
+        ),
+        datasets.BuilderConfig(
+            name="office_holder", version=VERSION, description="A subset of dataset from the office holder domain"
+        ),
+        datasets.BuilderConfig(name="plant", version=VERSION, description="A subset of dataset from the plant domain"),
+        datasets.BuilderConfig(
+            name="single", version=VERSION, description="A subset of dataset from the musical single domain"
+        ),
+        datasets.BuilderConfig(
+            name="soccer_player", version=VERSION, description="A subset of dataset from the soccer player domain"
+        ),
+        datasets.BuilderConfig(
+            name="software", version=VERSION, description="A subset of dataset from the software domain"
+        ),
+        datasets.BuilderConfig(
+            name="television_show", version=VERSION, description="A subset of dataset from the television show domain"
+        ),
+        datasets.BuilderConfig(name="town", version=VERSION, description="A subset of dataset from the town domain"),
+        datasets.BuilderConfig(
+            name="written_work", version=VERSION, description="A subset of dataset from the written work domain"
+        ),
+    ]
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "exid": datasets.Value("string"),
+                "inputs": datasets.Sequence(datasets.Value("string")),
+                "targets": datasets.Sequence(datasets.Sequence(datasets.Value("string"))),
+            }
+        )
+        return datasets.DatasetInfo(
+            # This is the description that will appear on the datasets page.
+            description=_DESCRIPTION,
+            # This defines the different columns of the dataset and their types
+            features=features,  # Here we define them above because they are different between the two configurations
+            # If there's a common (input, target) tuple from the features,
+            # specify them here. They'll be used if as_supervised=True in
+            # builder.as_dataset.
+            supervised_keys=None,
+            # Homepage of the dataset for documentation
+            homepage=_HOMEPAGE,
+            # License for the dataset if available
+            license=_LICENSE,
+            # Citation for the dataset
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        my_urls = _URLs[self.config.name]
+        data_dir = dl_manager.download_and_extract(my_urls)
+        data_dir = os.path.join(data_dir, self.config.name.title().replace("_", ""))
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "train.jsonl"),
+                    "split": "train",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": os.path.join(data_dir, "test.jsonl"), "split": "test"},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "valid.jsonl"),
+                    "split": "dev",
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        """ Yields examples. """
+        with open(filepath, encoding="utf-8") as f:
+            for id_, row in enumerate(f):
+                data = json.loads(row)
+                yield id_, {
+                    "exid": data["exid"],
+                    "inputs": data["inputs"],
+                    "targets": data["targets"],
+                }