Datasets:

Multilinguality:
translation
Size Categories:
1M<n<10M
Language Creators:
expert-generated
Annotations Creators:
crowdsourced
Source Datasets:
original
License:
albertvillanova HF staff commited on
Commit
4e4751e
1 Parent(s): 13b54c1

Fix missing tags in dataset cards (#4991)

Browse files

Commit from https://github.com/huggingface/datasets/commit/dc264899f1f3450290d7be27b4f4e16fee8d84b2

Files changed (3) hide show
  1. README.md +48 -19
  2. dataset_infos.json +0 -0
  3. iwslt2017.py +19 -14
README.md CHANGED
@@ -1,8 +1,32 @@
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  ---
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- paperswithcode_id: null
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- pretty_name: IWSLT 2017
 
 
 
 
 
 
 
 
 
 
 
 
 
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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
@@ -35,7 +59,7 @@ license:
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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:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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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
@@ -43,11 +67,9 @@ license:
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  ### Dataset Summary
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- The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:
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-
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- German, English, Italian, Dutch, Romanian.
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-
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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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@@ -227,19 +249,26 @@ See the (TED Talks Usage Policy)[https://www.ted.com/about/our-organization/our-
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  ### Citation Information
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  ```
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- @inproceedings{cettoloEtAl:EAMT2012,
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- Address = {Trento, Italy},
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- Author = {Mauro Cettolo and Christian Girardi and Marcello Federico},
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- Booktitle = {Proceedings of the 16$^{th}$ Conference of the European Association for Machine Translation (EAMT)},
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- Date = {28-30},
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- Month = {May},
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- Pages = {261--268},
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- Title = {WIT$^3$: Web Inventory of Transcribed and Translated Talks},
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- Year = {2012}}
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-
 
 
 
 
 
 
 
 
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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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  ---
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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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272
  ### Contributions
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  Thanks to [@thomwolf](https://github.com/thomwolf), [@Narsil](https://github.com/Narsil) for adding this dataset.
dataset_infos.json CHANGED
The diff for this file is too large to render. See raw diff
 
iwslt2017.py CHANGED
@@ -21,23 +21,28 @@ import datasets
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  _CITATION = """\
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- @inproceedings{cettoloEtAl:EAMT2012,
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- Address = {Trento, Italy},
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- Author = {Mauro Cettolo and Christian Girardi and Marcello Federico},
27
- Booktitle = {Proceedings of the 16$^{th}$ Conference of the European Association for Machine Translation (EAMT)},
28
- Date = {28-30},
29
- Month = {May},
30
- Pages = {261--268},
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- Title = {WIT$^3$: Web Inventory of Transcribed and Translated Talks},
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- Year = {2012}}
 
 
 
 
 
 
 
 
 
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  """
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  _DESCRIPTION = """\
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- The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task. The languages involved are five:
37
-
38
- German, English, Italian, Dutch, Romanian.
39
-
40
- 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.
41
  """
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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,
25
+ title = "Overview of the {IWSLT} 2017 Evaluation Campaign",
26
+ author = {Cettolo, Mauro and
27
+ Federico, Marcello and
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+ Bentivogli, Luisa and
29
+ Niehues, Jan and
30
+ St{\\"u}ker, Sebastian and
31
+ Sudoh, Katsuhito and
32
+ Yoshino, Koichiro and
33
+ Federmann, Christian},
34
+ booktitle = "Proceedings of the 14th International Conference on Spoken Language Translation",
35
+ month = dec # " 14-15",
36
+ year = "2017",
37
+ address = "Tokyo, Japan",
38
+ publisher = "International Workshop on Spoken Language Translation",
39
+ url = "https://aclanthology.org/2017.iwslt-1.1",
40
+ pages = "2--14",
41
+ }
42
  """
43
 
44
  _DESCRIPTION = """\
45
+ 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.
 
 
 
 
46
  """
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  MULTI_URL = "https://huggingface.co/datasets/iwslt2017/resolve/ebd7c60d9800c2a1be010a227e5f0a2363730f7a/data/2017-01-trnmted/texts/DeEnItNlRo/DeEnItNlRo/DeEnItNlRo-DeEnItNlRo.tgz"