diff --git a/README.md b/README.md
deleted file mode 100644
index 3e477c619d6087acb20e1528532dcfbfd97d342e..0000000000000000000000000000000000000000
--- a/README.md
+++ /dev/null
@@ -1,755 +0,0 @@
----
-annotations_creators:
-- crowdsourced
-language:
-- ar
-- de
-- en
-- fr
-- it
-- ja
-- ko
-- nl
-- ro
-- zh
-language_creators:
-- expert-generated
-license:
-- cc-by-nc-nd-4.0
-multilinguality:
-- translation
-pretty_name: IWSLT 2017
-size_categories:
-- 1M<n<10M
-source_datasets:
-- original
-task_categories:
-- translation
-task_ids: []
-paperswithcode_id: 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
-    num_examples: 237240
-  - name: test
-    num_bytes: 311646
-    num_examples: 1777
-  - name: validation
-    num_bytes: 197814
-    num_examples: 1003
-  download_size: 329391132
-  dataset_size: 43353393
-- config_name: iwslt2017-en-ro
-  features:
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - en
-        - ro
-  splits:
-  - name: train
-    num_bytes: 44129950
-    num_examples: 220538
-  - name: test
-    num_bytes: 316790
-    num_examples: 1678
-  - name: validation
-    num_bytes: 205028
-    num_examples: 914
-  download_size: 329391132
-  dataset_size: 44651768
-- config_name: iwslt2017-it-en
-  features:
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - it
-        - en
-  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-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: test
-    num_bytes: 311646
-    num_examples: 1777
-  - name: validation
-    num_bytes: 197814
-    num_examples: 1003
-  download_size: 329391132
-  dataset_size: 43353393
-- config_name: iwslt2017-nl-it
-  features:
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - nl
-        - it
-  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-nl-ro
-  features:
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - nl
-        - ro
-  splits:
-  - name: train
-    num_bytes: 41338738
-    num_examples: 206920
-  - name: test
-    num_bytes: 320952
-    num_examples: 1680
-  - name: validation
-    num_bytes: 202380
-    num_examples: 913
-  download_size: 329391132
-  dataset_size: 41862070
-- config_name: iwslt2017-ro-en
-  features:
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - ro
-        - en
-  splits:
-  - name: train
-    num_bytes: 44129950
-    num_examples: 220538
-  - name: test
-    num_bytes: 316790
-    num_examples: 1678
-  - name: validation
-    num_bytes: 205028
-    num_examples: 914
-  download_size: 329391132
-  dataset_size: 44651768
-- config_name: iwslt2017-ro-it
-  features:
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - ro
-        - it
-  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-ro-nl
-  features:
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - ro
-        - nl
-  splits:
-  - name: train
-    num_bytes: 41338738
-    num_examples: 206920
-  - name: test
-    num_bytes: 320952
-    num_examples: 1680
-  - 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:
-        languages:
-        - en
-        - ar
-  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: 29333173
-  dataset_size: 58736561
-- config_name: iwslt2017-en-de
-  features:
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - en
-        - de
-  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: 16758334
-  dataset_size: 44427829
-- config_name: iwslt2017-en-fr
-  features:
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - en
-        - fr
-  splits:
-  - name: train
-    num_bytes: 49273286
-    num_examples: 232825
-  - name: test
-    num_bytes: 1767465
-    num_examples: 8597
-  - name: validation
-    num_bytes: 207579
-    num_examples: 890
-  download_size: 27699724
-  dataset_size: 51248330
-- config_name: iwslt2017-en-ja
-  features:
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - en
-        - ja
-  splits:
-  - name: train
-    num_bytes: 48204987
-    num_examples: 223108
-  - name: test
-    num_bytes: 1809007
-    num_examples: 8469
-  - name: validation
-    num_bytes: 208124
-    num_examples: 871
-  download_size: 26983602
-  dataset_size: 50222118
-- config_name: iwslt2017-en-ko
-  features:
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - en
-        - ko
-  splits:
-  - name: train
-    num_bytes: 51678043
-    num_examples: 230240
-  - name: test
-    num_bytes: 1869793
-    num_examples: 8514
-  - name: validation
-    num_bytes: 219295
-    num_examples: 879
-  download_size: 19364776
-  dataset_size: 53767131
-- config_name: iwslt2017-en-zh
-  features:
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - en
-        - zh
-  splits:
-  - name: train
-    num_bytes: 44271004
-    num_examples: 231266
-  - name: test
-    num_bytes: 1605527
-    num_examples: 8549
-  - name: validation
-    num_bytes: 202537
-    num_examples: 879
-  download_size: 27597071
-  dataset_size: 46079068
-- config_name: iwslt2017-fr-en
-  features:
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - fr
-        - en
-  splits:
-  - name: train
-    num_bytes: 49273286
-    num_examples: 232825
-  - name: test
-    num_bytes: 1767465
-    num_examples: 8597
-  - name: validation
-    num_bytes: 207579
-    num_examples: 890
-  download_size: 26880731
-  dataset_size: 51248330
-- config_name: iwslt2017-ja-en
-  features:
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - ja
-        - en
-  splits:
-  - name: train
-    num_bytes: 48204987
-    num_examples: 223108
-  - name: test
-    num_bytes: 1809007
-    num_examples: 8469
-  - name: validation
-    num_bytes: 208124
-    num_examples: 871
-  download_size: 26190859
-  dataset_size: 50222118
-- config_name: iwslt2017-ko-en
-  features:
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - ko
-        - en
-  splits:
-  - name: train
-    num_bytes: 51678043
-    num_examples: 230240
-  - name: test
-    num_bytes: 1869793
-    num_examples: 8514
-  - name: validation
-    num_bytes: 219295
-    num_examples: 879
-  download_size: 19364733
-  dataset_size: 53767131
-- config_name: iwslt2017-zh-en
-  features:
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - zh
-        - en
-  splits:
-  - name: train
-    num_bytes: 44271004
-    num_examples: 231266
-  - name: test
-    num_bytes: 1605527
-    num_examples: 8549
-  - name: validation
-    num_bytes: 202537
-    num_examples: 879
-  download_size: 26849290
-  dataset_size: 46079068
----
-
-# 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:** 4046.89 MB
-- **Size of the generated dataset:** 1087.28 MB
-- **Total amount of disk used:** 5134.17 MB
-
-### 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:** 26.46 MB
-- **Size of the generated dataset:** 56.02 MB
-- **Total amount of disk used:** 82.48 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:** 15.98 MB
-- **Size of the generated dataset:** 42.37 MB
-- **Total amount of disk used:** 58.35 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:** 27.97 MB
-- **Size of the generated dataset:** 56.02 MB
-- **Total amount of disk used:** 83.99 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:** 15.98 MB
-- **Size of the generated dataset:** 42.37 MB
-- **Total amount of disk used:** 58.35 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:** 26.41 MB
-- **Size of the generated dataset:** 48.87 MB
-- **Total amount of disk used:** 75.28 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.
\ No newline at end of file
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diff --git a/iwslt2017.py b/iwslt2017.py
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-# 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.
-"""IWSLT 2017 dataset """
-
-
-import os
-
-import datasets
-
-
-_HOMEPAGE = "https://sites.google.com/site/iwsltevaluation2017/TED-tasks"
-
-_DESCRIPTION = """\
-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.
-"""
-
-_CITATION = """\
-@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",
-}
-"""
-
-REPO_URL = "https://huggingface.co/datasets/iwslt2017/resolve/main/"
-MULTI_URL = REPO_URL + "data/2017-01-trnmted/texts/DeEnItNlRo/DeEnItNlRo/DeEnItNlRo-DeEnItNlRo.zip"
-BI_URL = REPO_URL + "data/2017-01-trnted/texts/{source}/{target}/{source}-{target}.zip"
-
-
-class IWSLT2017Config(datasets.BuilderConfig):
-    """BuilderConfig for NewDataset"""
-
-    def __init__(self, pair, is_multilingual, **kwargs):
-        """
-
-        Args:
-            pair: the language pair to consider
-            is_multilingual: Is this pair in the multilingual dataset (download source is different)
-            **kwargs: keyword arguments forwarded to super.
-        """
-        self.pair = pair
-        self.is_multilingual = is_multilingual
-        super().__init__(**kwargs)
-
-
-# XXX: Artificially removed DE from here, as it also exists within bilingual data
-MULTI_LANGUAGES = ["en", "it", "nl", "ro"]
-BI_LANGUAGES = ["ar", "de", "en", "fr", "ja", "ko", "zh"]
-MULTI_PAIRS = [f"{source}-{target}" for source in MULTI_LANGUAGES for target in MULTI_LANGUAGES if source != target]
-BI_PAIRS = [
-    f"{source}-{target}"
-    for source in BI_LANGUAGES
-    for target in BI_LANGUAGES
-    if source != target and (source == "en" or target == "en")
-]
-
-PAIRS = MULTI_PAIRS + BI_PAIRS
-
-
-class IWSLT217(datasets.GeneratorBasedBuilder):
-    """The IWSLT 2017 Evaluation Campaign includes a multilingual TED Talks MT task."""
-
-    VERSION = datasets.Version("1.0.0")
-
-    # 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.
-    BUILDER_CONFIG_CLASS = IWSLT2017Config
-    BUILDER_CONFIGS = [
-        IWSLT2017Config(
-            name="iwslt2017-" + pair,
-            description="A small dataset",
-            version=datasets.Version("1.0.0"),
-            pair=pair,
-            is_multilingual=pair in MULTI_PAIRS,
-        )
-        for pair in PAIRS
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {"translation": datasets.features.Translation(languages=self.config.pair.split("-"))}
-            ),
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        source, target = self.config.pair.split("-")
-        if self.config.is_multilingual:
-            dl_dir = dl_manager.download_and_extract(MULTI_URL)
-            data_dir = os.path.join(dl_dir, "DeEnItNlRo-DeEnItNlRo")
-            years = [2010]
-        else:
-            bi_url = BI_URL.format(source=source, target=target)
-            dl_dir = dl_manager.download_and_extract(bi_url)
-            data_dir = os.path.join(dl_dir, f"{source}-{target}")
-            years = [2010, 2011, 2012, 2013, 2014, 2015]
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "source_files": [
-                        os.path.join(
-                            data_dir,
-                            f"train.tags.{self.config.pair}.{source}",
-                        )
-                    ],
-                    "target_files": [
-                        os.path.join(
-                            data_dir,
-                            f"train.tags.{self.config.pair}.{target}",
-                        )
-                    ],
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "source_files": [
-                        os.path.join(
-                            data_dir,
-                            f"IWSLT17.TED.tst{year}.{self.config.pair}.{source}.xml",
-                        )
-                        for year in years
-                    ],
-                    "target_files": [
-                        os.path.join(
-                            data_dir,
-                            f"IWSLT17.TED.tst{year}.{self.config.pair}.{target}.xml",
-                        )
-                        for year in years
-                    ],
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "source_files": [
-                        os.path.join(
-                            data_dir,
-                            f"IWSLT17.TED.dev2010.{self.config.pair}.{source}.xml",
-                        )
-                    ],
-                    "target_files": [
-                        os.path.join(
-                            data_dir,
-                            f"IWSLT17.TED.dev2010.{self.config.pair}.{target}.xml",
-                        )
-                    ],
-                },
-            ),
-        ]
-
-    def _generate_examples(self, source_files, target_files):
-        """Yields examples."""
-        id_ = 0
-        source, target = self.config.pair.split("-")
-        for source_file, target_file in zip(source_files, target_files):
-            with open(source_file, "r", encoding="utf-8") as sf:
-                with open(target_file, "r", encoding="utf-8") as tf:
-                    for source_row, target_row in zip(sf, tf):
-                        source_row = source_row.strip()
-                        target_row = target_row.strip()
-
-                        if source_row.startswith("<"):
-                            if source_row.startswith("<seg"):
-                                # Remove <seg id="1">.....</seg>
-                                # Very simple code instead of regex or xml parsing
-                                part1 = source_row.split(">")[1]
-                                source_row = part1.split("<")[0]
-                                part1 = target_row.split(">")[1]
-                                target_row = part1.split("<")[0]
-
-                                source_row = source_row.strip()
-                                target_row = target_row.strip()
-                            else:
-                                continue
-
-                        yield id_, {"translation": {source: source_row, target: target_row}}
-                        id_ += 1