Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
open-domain-qa
Languages:
English
Size:
10K - 100K
License:
Commit
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bb281ba
1
Parent(s):
d75e044
Fix missing tags in dataset cards (#4931)
Browse filesCommit from https://github.com/huggingface/datasets/commit/303e906e6c2aeb6821af23264ffb2e653a65aa86
README.md
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---
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language:
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- en
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paperswithcode_id: wikiqa
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pretty_name: Wikipedia open-domain Question Answering
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---
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# Dataset Card for "wiki_qa"
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- **Homepage:** [https://www.microsoft.com/en-us/download/details.aspx?id=52419](https://www.microsoft.com/en-us/download/details.aspx?id=52419)
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- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Paper:** [
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- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Size of downloaded dataset files:** 6.77 MB
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- **Size of the generated dataset:** 6.10 MB
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### Dataset Summary
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Wiki Question Answering corpus from Microsoft
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### Supported Tasks and Leaderboards
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### Licensing Information
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### Citation Information
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```
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@
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}
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-
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```
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-
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### Contributions
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Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@mariamabarham](https://github.com/mariamabarham), [@lewtun](https://github.com/lewtun), [@thomwolf](https://github.com/thomwolf) for adding this dataset.
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---
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annotations_creators:
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- crowdsourced
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language:
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- en
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language_creators:
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- found
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license:
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- other
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multilinguality:
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- monolingual
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pretty_name: WikiQA
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size_categories:
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- 10K<n<100K
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source_datasets:
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- original
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task_categories:
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- question-answering
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task_ids:
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- open-domain-qa
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paperswithcode_id: wikiqa
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---
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# Dataset Card for "wiki_qa"
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- **Homepage:** [https://www.microsoft.com/en-us/download/details.aspx?id=52419](https://www.microsoft.com/en-us/download/details.aspx?id=52419)
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- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Paper:** [WikiQA: A Challenge Dataset for Open-Domain Question Answering](https://aclanthology.org/D15-1237/)
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- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Size of downloaded dataset files:** 6.77 MB
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- **Size of the generated dataset:** 6.10 MB
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### Dataset Summary
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Wiki Question Answering corpus from Microsoft.
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The WikiQA corpus is a publicly available set of question and sentence pairs, collected and annotated for research on open-domain question answering.
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### Supported Tasks and Leaderboards
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### Licensing Information
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MICROSOFT RESEARCH DATA LICENSE AGREEMENT
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FOR
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MICROSOFT RESEARCH WIKIQA CORPUS
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These license terms are an agreement between Microsoft Corporation (or based on where you live, one of its
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affiliates) and you. Please read them. They apply to the data associated with this license above, which includes
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the media on which you received it, if any. The terms also apply to any Microsoft:
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- updates,
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- supplements,
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- Internet-based services, and
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- support services
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for this data, unless other terms accompany those items. If so, those terms apply.
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BY USING THE DATA, YOU ACCEPT THESE TERMS. IF YOU DO NOT ACCEPT THEM, DO NOT USE THE DATA.
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If you comply with these license terms, you have the rights below.
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1. SCOPE OF LICENSE.
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a. You may use, copy, modify, create derivative works, and distribute the Dataset:
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i. for research and technology development purposes only. Examples of research and technology
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development uses are teaching, academic research, public demonstrations and experimentation ;
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and
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ii. to publish (or present papers or articles) on your results from using such Dataset.
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b. The data is licensed, not sold. This agreement only gives you some rights to use the data. Microsoft reserves
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all other rights. Unless applicable law gives you more rights despite this limitation, you may use the data only
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as expressly permitted in this agreement. In doing so, you must comply with any technical limitations in the
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data that only allow you to use it in certain ways.
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You may not
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- work around any technical limitations in the data;
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- reverse engineer, decompile or disassemble the data, except and only to the extent that applicable law
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expressly permits, despite this limitation;
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- rent, lease or lend the data;
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- transfer the data or this agreement to any third party; or
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- use the data directly in a commercial product without Microsoft’s permission.
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2. DISTRIBUTION REQUIREMENTS:
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a. If you distribute the Dataset or any derivative works of the Dataset, you will distribute them under the
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same terms and conditions as in this Agreement, and you will not grant other rights to the Dataset or
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derivative works that are different from those provided by this Agreement.
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b. If you have created derivative works of the Dataset, and distribute such derivative works, you will
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cause the modified files to carry prominent notices so that recipients know that they are not receiving
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Page 1 of 3the original Dataset. Such notices must state: (i) that you have changed the Dataset; and (ii) the date
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of any changes.
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3. DISTRIBUTION RESTRICTIONS. You may not: (a) alter any copyright, trademark or patent notice in the
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Dataset; (b) use Microsoft’s trademarks in a way that suggests your derivative works or modifications come from
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or are endorsed by Microsoft; (c) include the Dataset in malicious, deceptive or unlawful programs.
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4. OWNERSHIP. Microsoft retains all right, title, and interest in and to any Dataset provided to you under this
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Agreement. You acquire no interest in the Dataset you may receive under the terms of this Agreement.
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5. LICENSE TO MICROSOFT. Microsoft is granted back, without any restrictions or limitations, a non-exclusive,
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perpetual, irrevocable, royalty-free, assignable and sub-licensable license, to reproduce, publicly perform or
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display, use, modify, post, distribute, make and have made, sell and transfer your modifications to and/or
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derivative works of the Dataset, for any purpose.
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6. FEEDBACK. If you give feedback about the Dataset to Microsoft, you give to Microsoft, without charge, the right
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to use, share and commercialize your feedback in any way and for any purpose. You also give to third parties,
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without charge, any patent rights needed for their products, technologies and services to use or interface with
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any specific parts of a Microsoft dataset or service that includes the feedback. You will not give feedback that is
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subject to a license that requires Microsoft to license its Dataset or documentation to third parties because we
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include your feedback in them. These rights survive this Agreement.
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7. EXPORT RESTRICTIONS. The Dataset is subject to United States export laws and regulations. You must
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comply with all domestic and international export laws and regulations that apply to the Dataset. These laws
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include restrictions on destinations, end users and end use. For additional information, see
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www.microsoft.com/exporting.
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8. ENTIRE AGREEMENT. This Agreement, and the terms for supplements, updates, Internet-based services and
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support services that you use, are the entire agreement for the Dataset.
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9. SUPPORT SERVICES. Because this data is “as is,” we may not provide support services for it.
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10. APPLICABLE LAW.
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a. United States. If you acquired the software in the United States, Washington state law governs the
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interpretation of this agreement and applies to claims for breach of it, regardless of conflict of laws principles.
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The laws of the state where you live govern all other claims, including claims under state consumer protection
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laws, unfair competition laws, and in tort.
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b. Outside the United States. If you acquired the software in any other country, the laws of that country
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apply.
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11. LEGAL EFFECT. This Agreement describes certain legal rights. You may have other rights under the laws of your
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country. You may also have rights with respect to the party from whom you acquired the Dataset. This
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Agreement does not change your rights under the laws of your country if the laws of your country do not permit
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it to do so.
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12. DISCLAIMER OF WARRANTY. The Dataset is licensed “as-is.” You bear the risk of using it. Microsoft gives no
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express warranties, guarantees or conditions. You may have additional consumer rights or statutory guarantees
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under your local laws which this agreement cannot change. To the extent permitted under your local laws,
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Microsoft excludes the implied warranties of merchantability, fitness for a particular purpose and non-
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infringement.
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13. LIMITATION ON AND EXCLUSION OF REMEDIES AND DAMAGES. YOU CAN RECOVER FROM
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MICROSOFT AND ITS SUPPLIERS ONLY DIRECT DAMAGES UP TO U.S. $5.00. YOU CANNOT RECOVER ANY
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OTHER DAMAGES, INCLUDING CONSEQUENTIAL, LOST PROFITS, SPECIAL, INDIRECT OR INCIDENTAL
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DAMAGES.
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This limitation applies to
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- anything related to the software, services, content (including code) on third party Internet sites, or third party
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programs; and Page 2 of 3
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- claims for breach of contract, breach of warranty, guarantee or condition, strict liability, negligence, or other
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tort to the extent permitted by applicable law.
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It also applies even if Microsoft knew or should have known about the possibility of the damages. The above
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limitation or exclusion may not apply to you because your country may not allow the exclusion or limitation of
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incidental, consequential or other damages.
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### Citation Information
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```
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@inproceedings{yang-etal-2015-wikiqa,
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title = "{W}iki{QA}: A Challenge Dataset for Open-Domain Question Answering",
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author = "Yang, Yi and
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Yih, Wen-tau and
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Meek, Christopher",
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booktitle = "Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing",
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month = sep,
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year = "2015",
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address = "Lisbon, Portugal",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/D15-1237",
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doi = "10.18653/v1/D15-1237",
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pages = "2013--2018",
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}
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```
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### Contributions
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Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@mariamabarham](https://github.com/mariamabarham), [@lewtun](https://github.com/lewtun), [@thomwolf](https://github.com/thomwolf) for adding this dataset.
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