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Fix missing tags in dataset cards (#4991)
Browse filesCommit from https://github.com/huggingface/datasets/commit/dc264899f1f3450290d7be27b4f4e16fee8d84b2
- README.md +48 -19
- dataset_infos.json +0 -0
- iwslt2017.py +19 -14
README.md
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---
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license:
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- cc-by-nc-nd-4.0
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---
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# Dataset Card for IWSLT 2017
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- **Homepage:** [https://sites.google.com/site/iwsltevaluation2017/TED-tasks](https://sites.google.com/site/iwsltevaluation2017/TED-tasks)
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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:** 4046.89 MB
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- **Size of the generated dataset:** 1087.28 MB
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### Dataset Summary
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The IWSLT 2017
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For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
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### Supported Tasks and Leaderboards
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### Citation Information
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```
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@inproceedings{
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```
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### Contributions
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Thanks to [@thomwolf](https://github.com/thomwolf), [@Narsil](https://github.com/Narsil) 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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- ar
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- de
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- en
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- fr
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- it
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- ja
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- ko
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- nl
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- ro
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- zh
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language_creators:
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- expert-generated
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license:
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- cc-by-nc-nd-4.0
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multilinguality:
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- translation
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pretty_name: IWSLT 2017
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size_categories:
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- 1M<n<10M
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source_datasets:
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- original
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task_categories:
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- translation
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task_ids: []
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paperswithcode_id: iwslt-2017
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---
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# Dataset Card for IWSLT 2017
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- **Homepage:** [https://sites.google.com/site/iwsltevaluation2017/TED-tasks](https://sites.google.com/site/iwsltevaluation2017/TED-tasks)
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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:** [Overview of the IWSLT 2017 Evaluation Campaign](https://aclanthology.org/2017.iwslt-1.1/)
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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:** 4046.89 MB
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- **Size of the generated dataset:** 1087.28 MB
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### Dataset Summary
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The IWSLT 2017 Multilingual Task addresses text translation, including zero-shot translation, with a single MT system
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across all directions including English, German, Dutch, Italian and Romanian. As unofficial task, conventional
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bilingual text translation is offered between English and Arabic, French, Japanese, Chinese, German and Korean.
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### Supported Tasks and Leaderboards
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### Citation Information
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```
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@inproceedings{cettolo-etal-2017-overview,
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title = "Overview of the {IWSLT} 2017 Evaluation Campaign",
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author = {Cettolo, Mauro and
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Federico, Marcello and
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Bentivogli, Luisa and
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Niehues, Jan and
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St{\"u}ker, Sebastian and
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Sudoh, Katsuhito and
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Yoshino, Koichiro and
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Federmann, Christian},
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booktitle = "Proceedings of the 14th International Conference on Spoken Language Translation",
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month = dec # " 14-15",
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year = "2017",
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address = "Tokyo, Japan",
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publisher = "International Workshop on Spoken Language Translation",
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url = "https://aclanthology.org/2017.iwslt-1.1",
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pages = "2--14",
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}
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```
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### Contributions
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Thanks to [@thomwolf](https://github.com/thomwolf), [@Narsil](https://github.com/Narsil) for adding this dataset.
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dataset_infos.json
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iwslt2017.py
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_CITATION = """\
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@inproceedings{
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"""
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_DESCRIPTION = """\
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The IWSLT 2017
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German, English, Italian, Dutch, Romanian.
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For each language pair, training and development sets are available through the entry of the table below: by clicking, an archive will be downloaded which contains the sets and a README file. Numbers in the table refer to millions of units (untokenized words) of the target side of all parallel training sets.
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"""
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MULTI_URL = "https://huggingface.co/datasets/iwslt2017/resolve/ebd7c60d9800c2a1be010a227e5f0a2363730f7a/data/2017-01-trnmted/texts/DeEnItNlRo/DeEnItNlRo/DeEnItNlRo-DeEnItNlRo.tgz"
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_CITATION = """\
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@inproceedings{cettolo-etal-2017-overview,
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title = "Overview of the {IWSLT} 2017 Evaluation Campaign",
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author = {Cettolo, Mauro and
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Federico, Marcello and
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Bentivogli, Luisa and
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Niehues, Jan and
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St{\\"u}ker, Sebastian and
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Sudoh, Katsuhito and
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Yoshino, Koichiro and
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Federmann, Christian},
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booktitle = "Proceedings of the 14th International Conference on Spoken Language Translation",
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month = dec # " 14-15",
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year = "2017",
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address = "Tokyo, Japan",
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publisher = "International Workshop on Spoken Language Translation",
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url = "https://aclanthology.org/2017.iwslt-1.1",
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pages = "2--14",
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}
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"""
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_DESCRIPTION = """\
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The IWSLT 2017 Multilingual Task addresses text translation, including zero-shot translation, with a single MT system across all directions including English, German, Dutch, Italian and Romanian. As unofficial task, conventional bilingual text translation is offered between English and Arabic, French, Japanese, Chinese, German and Korean.
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"""
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MULTI_URL = "https://huggingface.co/datasets/iwslt2017/resolve/ebd7c60d9800c2a1be010a227e5f0a2363730f7a/data/2017-01-trnmted/texts/DeEnItNlRo/DeEnItNlRo/DeEnItNlRo-DeEnItNlRo.tgz"
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