
# Dataset Card for IWSLT 2017

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [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)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [https://sites.google.com/site/iwsltevaluation2017/TED-tasks](https://sites.google.com/site/iwsltevaluation2017/TED-tasks)
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [Overview of the IWSLT 2017 Evaluation Campaign](https://aclanthology.org/2017.iwslt-1.1/)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Size of downloaded dataset files:** 4.24 GB
- **Size of the generated dataset:** 1.14 GB
- **Total amount of disk used:** 5.38 GB

### Dataset Summary

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.

### Supported Tasks and Leaderboards

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Languages

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Dataset Structure

### Data Instances

#### iwslt2017-ar-en

- **Size of downloaded dataset files:** 27.75 MB
- **Size of the generated dataset:** 58.74 MB
- **Total amount of disk used:** 86.49 MB

An example of 'train' looks as follows.
```
This example was too long and was cropped:

{
    "translation": "{\"ar\": \"لقد طرت في \\\"القوات الجوية \\\" لمدة ثمان سنوات. والآن أجد نفسي مضطرا لخلع حذائي قبل صعود الطائرة!\", \"en\": \"I flew on Air ..."
}
```

#### iwslt2017-de-en

- **Size of downloaded dataset files:** 16.76 MB
- **Size of the generated dataset:** 44.43 MB
- **Total amount of disk used:** 61.18 MB

An example of 'train' looks as follows.
```
{
    "translation": {
        "de": "Es ist mir wirklich eine Ehre, zweimal auf dieser Bühne stehen zu dürfen. Tausend Dank dafür.",
        "en": "And it's truly a great honor to have the opportunity to come to this stage twice; I'm extremely grateful."
    }
}
```

#### iwslt2017-en-ar

- **Size of downloaded dataset files:** 29.33 MB
- **Size of the generated dataset:** 58.74 MB
- **Total amount of disk used:** 88.07 MB

An example of 'train' looks as follows.
```
This example was too long and was cropped:

{
    "translation": "{\"ar\": \"لقد طرت في \\\"القوات الجوية \\\" لمدة ثمان سنوات. والآن أجد نفسي مضطرا لخلع حذائي قبل صعود الطائرة!\", \"en\": \"I flew on Air ..."
}
```

#### iwslt2017-en-de

- **Size of downloaded dataset files:** 16.76 MB
- **Size of the generated dataset:** 44.43 MB
- **Total amount of disk used:** 61.18 MB

An example of 'validation' looks as follows.
```
{
    "translation": {
        "de": "Die nächste Folie, die ich Ihnen zeige, ist eine Zeitrafferaufnahme was in den letzten 25 Jahren passiert ist.",
        "en": "The next slide I show you will be  a rapid fast-forward of what's happened over the last 25 years."
    }
}
```

#### iwslt2017-en-fr

- **Size of downloaded dataset files:** 27.69 MB
- **Size of the generated dataset:** 51.24 MB
- **Total amount of disk used:** 78.94 MB

An example of 'validation' looks as follows.
```
{
    "translation": {
        "en": "But this understates the seriousness of this particular problem  because it doesn't show the thickness of the ice.",
        "fr": "Mais ceci tend à amoindrir le problème parce qu'on ne voit pas l'épaisseur de la glace."
    }
}
```

### Data Fields

The data fields are the same among all splits.

#### iwslt2017-ar-en
- `translation`: a multilingual `string` variable, with possible languages including `ar`, `en`.

#### iwslt2017-de-en
- `translation`: a multilingual `string` variable, with possible languages including `de`, `en`.

#### iwslt2017-en-ar
- `translation`: a multilingual `string` variable, with possible languages including `en`, `ar`.

#### iwslt2017-en-de
- `translation`: a multilingual `string` variable, with possible languages including `en`, `de`.

#### iwslt2017-en-fr
- `translation`: a multilingual `string` variable, with possible languages including `en`, `fr`.

### Data Splits

|     name      |train |validation|test|
|---------------|-----:|---------:|---:|
|iwslt2017-ar-en|231713|       888|8583|
|iwslt2017-de-en|206112|       888|8079|
|iwslt2017-en-ar|231713|       888|8583|
|iwslt2017-en-de|206112|       888|8079|
|iwslt2017-en-fr|232825|       890|8597|

## Dataset Creation

### Curation Rationale

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the source language producers?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Annotations

#### Annotation process

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the annotators?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Personal and Sensitive Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Discussion of Biases

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Other Known Limitations

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Additional Information

### Dataset Curators

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Licensing Information

Creative Commons BY-NC-ND

See the (TED Talks Usage Policy)[https://www.ted.com/about/our-organization/our-policies-terms/ted-talks-usage-policy].

### Citation Information

```
@inproceedings{cettolo-etal-2017-overview,
    title = "Overview of the {IWSLT} 2017 Evaluation Campaign",
    author = {Cettolo, Mauro  and
      Federico, Marcello  and
      Bentivogli, Luisa  and
      Niehues, Jan  and
      St{\"u}ker, Sebastian  and
      Sudoh, Katsuhito  and
      Yoshino, Koichiro  and
      Federmann, Christian},
    booktitle = "Proceedings of the 14th International Conference on Spoken Language Translation",
    month = dec # " 14-15",
    year = "2017",
    address = "Tokyo, Japan",
    publisher = "International Workshop on Spoken Language Translation",
    url = "https://aclanthology.org/2017.iwslt-1.1",
    pages = "2--14",
}
```

### Contributions

Thanks to [@thomwolf](https://github.com/thomwolf), [@Narsil](https://github.com/Narsil) for adding this dataset.
task_categories:translation annotations_creators:crowdsourced language_creators:expert-generated multilinguality:translation size_categories:1M<n<10M source_datasets:original language:ar language:de language:en language:fr language:it language:ja language:ko language:nl language:ro language:zh license:cc-by-nc-nd-4.0 region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["expert-generated"], "language": ["ar", "de", "en", "fr", "it", "ja", "ko", "nl", "ro", "zh"], "license": ["cc-by-nc-nd-4.0"], "multilinguality": ["translation"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["translation"], "task_ids": [], "paperswithcode_id": "iwslt-2017", "pretty_name": "IWSLT 2017", "dataset_info": [{"config_name": "iwslt2017-en-it", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["en", "it"]}}}], "splits": [{"name": "train", "num_bytes": 46647925, "num_examples": 231619}, {"name": "test", "num_bytes": 305246, "num_examples": 1566}, {"name": "validation", "num_bytes": 200023, "num_examples": 929}], "download_size": 329391132, "dataset_size": 47153194}, {"config_name": "iwslt2017-en-nl", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["en", "nl"]}}}], "splits": [{"name": "train", "num_bytes": 42843933, 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{"config_name": "iwslt2017-it-nl", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["it", "nl"]}}}], "splits": [{"name": "train", "num_bytes": 43033168, "num_examples": 233415}, {"name": "test", "num_bytes": 309725, "num_examples": 1669}, {"name": "validation", "num_bytes": 197774, "num_examples": 1001}], "download_size": 329391132, "dataset_size": 43540667}, {"config_name": "iwslt2017-it-ro", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["it", "ro"]}}}], "splits": [{"name": "train", "num_bytes": 44485169, "num_examples": 217551}, {"name": "test", "num_bytes": 314974, "num_examples": 1643}, {"name": "validation", "num_bytes": 204989, "num_examples": 914}], "download_size": 329391132, "dataset_size": 45005132}, {"config_name": "iwslt2017-nl-en", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["nl", "en"]}}}], "splits": [{"name": "train", "num_bytes": 42843933, "num_examples": 237240}, {"name": 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{"name": "validation", "num_bytes": 202380, "num_examples": 913}], "download_size": 329391132, "dataset_size": 41862070}, {"config_name": "iwslt2017-ar-en", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["ar", "en"]}}}], "splits": [{"name": "train", "num_bytes": 56481059, "num_examples": 231713}, {"name": "test", "num_bytes": 2014296, "num_examples": 8583}, {"name": "validation", "num_bytes": 241206, "num_examples": 888}], "download_size": 27748780, "dataset_size": 58736561}, {"config_name": "iwslt2017-de-en", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["de", "en"]}}}], "splits": [{"name": "train", "num_bytes": 42608380, "num_examples": 206112}, {"name": "test", "num_bytes": 1608474, "num_examples": 8079}, {"name": "validation", "num_bytes": 210975, "num_examples": 888}], "download_size": 16758320, "dataset_size": 44427829}, {"config_name": "iwslt2017-en-ar", "features": [{"name": "translation", "dtype": {"translation": 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TAGS
#task_categories-translation #annotations_creators-crowdsourced #language_creators-expert-generated #multilinguality-translation #size_categories-1M<n<10M #source_datasets-original #language-Arabic #language-German #language-English #language-French #language-Italian #language-Japanese #language-Korean #language-Dutch #language-Romanian #language-Chinese #license-cc-by-nc-nd-4.0 #region-us 

Dataset Card for IWSLT 2017
===========================


Table of Contents
-----------------


* Dataset Description
	+ Dataset Summary
	+ Supported Tasks and Leaderboards
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits
* Dataset Creation
	+ Curation Rationale
	+ Source Data
	+ Annotations
	+ Personal and Sensitive Information
* Considerations for Using the Data
	+ Social Impact of Dataset
	+ Discussion of Biases
	+ Other Known Limitations
* Additional Information
	+ Dataset Curators
	+ Licensing Information
	+ Citation Information
	+ Contributions


Dataset Description
-------------------


* Homepage: URL
* Repository:
* Paper: Overview of the IWSLT 2017 Evaluation Campaign
* Point of Contact:
* Size of downloaded dataset files: 4.24 GB
* Size of the generated dataset: 1.14 GB
* Total amount of disk used: 5.38 GB


### Dataset Summary


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.


### Supported Tasks and Leaderboards


### Languages


Dataset Structure
-----------------


### Data Instances


#### iwslt2017-ar-en


* Size of downloaded dataset files: 27.75 MB
* Size of the generated dataset: 58.74 MB
* Total amount of disk used: 86.49 MB


An example of 'train' looks as follows.


#### iwslt2017-de-en


* Size of downloaded dataset files: 16.76 MB
* Size of the generated dataset: 44.43 MB
* Total amount of disk used: 61.18 MB


An example of 'train' looks as follows.


#### iwslt2017-en-ar


* Size of downloaded dataset files: 29.33 MB
* Size of the generated dataset: 58.74 MB
* Total amount of disk used: 88.07 MB


An example of 'train' looks as follows.


#### iwslt2017-en-de


* Size of downloaded dataset files: 16.76 MB
* Size of the generated dataset: 44.43 MB
* Total amount of disk used: 61.18 MB


An example of 'validation' looks as follows.


#### iwslt2017-en-fr


* Size of downloaded dataset files: 27.69 MB
* Size of the generated dataset: 51.24 MB
* Total amount of disk used: 78.94 MB


An example of 'validation' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### iwslt2017-ar-en


* 'translation': a multilingual 'string' variable, with possible languages including 'ar', 'en'.


#### iwslt2017-de-en


* 'translation': a multilingual 'string' variable, with possible languages including 'de', 'en'.


#### iwslt2017-en-ar


* 'translation': a multilingual 'string' variable, with possible languages including 'en', 'ar'.


#### iwslt2017-en-de


* 'translation': a multilingual 'string' variable, with possible languages including 'en', 'de'.


#### iwslt2017-en-fr


* 'translation': a multilingual 'string' variable, with possible languages including 'en', 'fr'.


### Data Splits



Dataset Creation
----------------


### Curation Rationale


### Source Data


#### Initial Data Collection and Normalization


#### Who are the source language producers?


### Annotations


#### Annotation process


#### Who are the annotators?


### Personal and Sensitive Information


Considerations for Using the Data
---------------------------------


### Social Impact of Dataset


### Discussion of Biases


### Other Known Limitations


Additional Information
----------------------


### Dataset Curators


### Licensing Information


Creative Commons BY-NC-ND


See the (TED Talks Usage Policy)[URL


### Contributions


Thanks to @thomwolf, @Narsil for adding this dataset.



### Dataset Summary


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. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### iwslt2017-ar-en


* Size of downloaded dataset files: 27.75 MB
* Size of the generated dataset: 58.74 MB
* Total amount of disk used: 86.49 MB


An example of 'train' looks as follows. #### iwslt2017-de-en


* Size of downloaded dataset files: 16.76 MB
* Size of the generated dataset: 44.43 MB
* Total amount of disk used: 61.18 MB


An example of 'train' looks as follows. #### iwslt2017-en-ar


* Size of downloaded dataset files: 29.33 MB
* Size of the generated dataset: 58.74 MB
* Total amount of disk used: 88.07 MB


An example of 'train' looks as follows. #### iwslt2017-en-de


* Size of downloaded dataset files: 16.76 MB
* Size of the generated dataset: 44.43 MB
* Total amount of disk used: 61.18 MB


An example of 'validation' looks as follows. #### iwslt2017-en-fr


* Size of downloaded dataset files: 27.69 MB
* Size of the generated dataset: 51.24 MB
* Total amount of disk used: 78.94 MB


An example of 'validation' looks as follows. ### Data Fields


The data fields are the same among all splits. #### iwslt2017-ar-en


* 'translation': a multilingual 'string' variable, with possible languages including 'ar', 'en'. #### iwslt2017-de-en


* 'translation': a multilingual 'string' variable, with possible languages including 'de', 'en'. #### iwslt2017-en-ar


* 'translation': a multilingual 'string' variable, with possible languages including 'en', 'ar'. #### iwslt2017-en-de


* 'translation': a multilingual 'string' variable, with possible languages including 'en', 'de'. #### iwslt2017-en-fr


* 'translation': a multilingual 'string' variable, with possible languages including 'en', 'fr'. ### Data Splits



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information


Creative Commons BY-NC-ND


See the (TED Talks Usage Policy)[URL ### Contributions


Thanks to @thomwolf, @Narsil for adding this dataset.
TAGS
#task_categories-translation #annotations_creators-crowdsourced #language_creators-expert-generated #multilinguality-translation #size_categories-1M<n<10M #source_datasets-original #language-Arabic #language-German #language-English #language-French #language-Italian #language-Japanese #language-Korean #language-Dutch #language-Romanian #language-Chinese #license-cc-by-nc-nd-4.0 #region-us 
 ### Dataset Summary


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. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### iwslt2017-ar-en


* Size of downloaded dataset files: 27.75 MB
* Size of the generated dataset: 58.74 MB
* Total amount of disk used: 86.49 MB


An example of 'train' looks as follows. #### iwslt2017-de-en


* Size of downloaded dataset files: 16.76 MB
* Size of the generated dataset: 44.43 MB
* Total amount of disk used: 61.18 MB


An example of 'train' looks as follows. #### iwslt2017-en-ar


* Size of downloaded dataset files: 29.33 MB
* Size of the generated dataset: 58.74 MB
* Total amount of disk used: 88.07 MB


An example of 'train' looks as follows. #### iwslt2017-en-de


* Size of downloaded dataset files: 16.76 MB
* Size of the generated dataset: 44.43 MB
* Total amount of disk used: 61.18 MB


An example of 'validation' looks as follows. #### iwslt2017-en-fr


* Size of downloaded dataset files: 27.69 MB
* Size of the generated dataset: 51.24 MB
* Total amount of disk used: 78.94 MB


An example of 'validation' looks as follows. ### Data Fields


The data fields are the same among all splits. #### iwslt2017-ar-en


* 'translation': a multilingual 'string' variable, with possible languages including 'ar', 'en'. #### iwslt2017-de-en


* 'translation': a multilingual 'string' variable, with possible languages including 'de', 'en'. #### iwslt2017-en-ar


* 'translation': a multilingual 'string' variable, with possible languages including 'en', 'ar'. #### iwslt2017-en-de


* 'translation': a multilingual 'string' variable, with possible languages including 'en', 'de'. #### iwslt2017-en-fr


* 'translation': a multilingual 'string' variable, with possible languages including 'en', 'fr'. ### Data Splits



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information


Creative Commons BY-NC-ND


See the (TED Talks Usage Policy)[URL ### Contributions


Thanks to @thomwolf, @Narsil for adding this dataset.
passage: TAGS
#task_categories-translation #annotations_creators-crowdsourced #language_creators-expert-generated #multilinguality-translation #size_categories-1M<n<10M #source_datasets-original #language-Arabic #language-German #language-English #language-French #language-Italian #language-Japanese #language-Korean #language-Dutch #language-Romanian #language-Chinese #license-cc-by-nc-nd-4.0 #region-us 
### Dataset Summary


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.### Supported Tasks and Leaderboards### Languages


Dataset Structure
-----------------### Data Instances#### iwslt2017-ar-en


* Size of downloaded dataset files: 27.75 MB
* Size of the generated dataset: 58.74 MB
* Total amount of disk used: 86.49 MB


An example of 'train' looks as follows.#### iwslt2017-de-en


* Size of downloaded dataset files: 16.76 MB
* Size of the generated dataset: 44.43 MB
* Total amount of disk used: 61.18 MB


An example of 'train' looks as follows.#### iwslt2017-en-ar


* Size of downloaded dataset files: 29.33 MB
* Size of the generated dataset: 58.74 MB
* Total amount of disk used: 88.07 MB


An example of 'train' looks as follows.#### iwslt2017-en-de


* Size of downloaded dataset files: 16.76 MB
* Size of the generated dataset: 44.43 MB
* Total amount of disk used: 61.18 MB


An example of 'validation' looks as follows.