iwslt14 with fairseq preprocess

README.md

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+---
+annotations_creators:
+- crowdsourced
+language:
+- de
+- en
+language_creators:
+- expert-generated
+license:
+- cc-by-nc-nd-4.0
+multilinguality:
+- translation
+pretty_name: IWSLT 2014
+source_datasets:
+- original
+task_categories:
+- translation
+task_ids: []
+paperswithcode_id: iwslt-2014
+---
+
+# Dataset Card for IWSLT 2014  
+
+
+
+## Dataset Description  
+  
+- **Homepage:** [https://sites.google.com/site/iwsltevaluation2014](https://sites.google.com/site/iwsltevaluation2014)
+
+
+dataset_info:  
+- config_name: de-en  
+
+  features:  
+  - name: translation  
+        languages:  
+        	- de  
+        	- en  
+
+  splits:  
+  - name: train  
+    num_examples: 171721  
+  - name: test  
+    num_examples: 4698  
+  - name: validation  
+    num_examples: 887  

data/de-en.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:97a032b73a0fb54a1bca10fe3168f3b568b158747f925ba926147302a16a6a03
+size 13728035

iwslt14-de-en.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/bbaaaa/iwslt14-de-en-preprocess/resolve/main/"
+URL = REPO_URL + "data/de-en.zip"
+
+
+class IWSLT2017Config(datasets.BuilderConfig):
+    """BuilderConfig for NewDataset"""
+
+    def __init__(self, pair, **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
+        super().__init__(**kwargs)
+
+
+class IWSLT2017(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="de-en",
+            description="A small dataset",
+            version=datasets.Version("1.0.0"),
+            pair='de-en',
+        )
+    ]
+
+    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("-")
+        bi_url = URL
+        dl_dir = dl_manager.download_and_extract(bi_url)
+        data_dir = os.path.join(dl_dir, f"{source}-{target}")
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "source_files": [
+                        os.path.join(
+                            data_dir,
+                            f"train.{source}",
+                        )
+                    ],
+                    "target_files": [
+                        os.path.join(
+                            data_dir,
+                            f"train.{target}",
+                        )
+                    ],
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "source_files": [
+                        os.path.join(
+                            data_dir,
+                            f"test.{source}",
+                        )
+                    ],
+                    "target_files": [
+                        os.path.join(
+                            data_dir,
+                            f"test.{target}",
+                        )
+                    ],
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "source_files": [
+                        os.path.join(
+                            data_dir,
+                            f"valid.{source}",
+                        )
+                    ],
+                    "target_files": [
+                        os.path.join(
+                            data_dir,
+                            f"valid.{target}",
+                        )
+                    ],
+                },
+            ),
+        ]
+
+    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