Duplicate from Helsinki-NLP/ecb

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README.md

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+---
+annotations_creators:
+- found
+language_creators:
+- found
+language:
+- cs
+- da
+- de
+- el
+- en
+- es
+- et
+- fi
+- fr
+- hu
+- it
+- lt
+- lv
+- mt
+- nl
+- pl
+- pt
+- sk
+- sl
+license:
+- unknown
+multilinguality:
+- multilingual
+size_categories:
+- 100K<n<1M
+source_datasets:
+- original
+task_categories:
+- translation
+task_ids: []
+paperswithcode_id: ecb
+pretty_name: extension to the EventCorefBank
+dataset_info:
+- config_name: de-fr
+  features:
+  - name: id
+    dtype: string
+  - name: translation
+    dtype:
+      translation:
+        languages:
+        - de
+        - fr
+  splits:
+  - name: train
+    num_bytes: 39514115
+    num_examples: 105116
+  download_size: 10326178
+  dataset_size: 39514115
+- config_name: cs-en
+  features:
+  - name: id
+    dtype: string
+  - name: translation
+    dtype:
+      translation:
+        languages:
+        - cs
+        - en
+  splits:
+  - name: train
+    num_bytes: 19524831
+    num_examples: 63716
+  download_size: 5360485
+  dataset_size: 19524831
+- config_name: el-it
+  features:
+  - name: id
+    dtype: string
+  - name: translation
+    dtype:
+      translation:
+        languages:
+        - el
+        - it
+  splits:
+  - name: train
+    num_bytes: 47300471
+    num_examples: 94712
+  download_size: 10394277
+  dataset_size: 47300471
+- config_name: en-nl
+  features:
+  - name: id
+    dtype: string
+  - name: translation
+    dtype:
+      translation:
+        languages:
+        - en
+        - nl
+  splits:
+  - name: train
+    num_bytes: 43118164
+    num_examples: 126482
+  download_size: 11360895
+  dataset_size: 43118164
+- config_name: fi-pl
+  features:
+  - name: id
+    dtype: string
+  - name: translation
+    dtype:
+      translation:
+        languages:
+        - fi
+        - pl
+  splits:
+  - name: train
+    num_bytes: 12973283
+    num_examples: 41686
+  download_size: 3521950
+  dataset_size: 12973283
+---
+
+# Dataset Card for extension to the EventCorefBank
+
+## 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:** http://opus.nlpl.eu/ECB.php
+- **Repository:** None
+- **Paper:** http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf
+- **Leaderboard:** [More Information Needed]
+- **Point of Contact:** [More Information Needed]
+
+### Dataset Summary
+
+To load a language pair which isn't part of the config, all you need to do is specify the language code as pairs.
+You can find the valid pairs in Homepage section of Dataset Description: http://opus.nlpl.eu/ECB.php
+E.g.
+
+`dataset = load_dataset("ecb", lang1="en", lang2="fi")`
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+[More Information Needed]
+
+## Dataset Structure
+
+### Data Instances
+
+Here are some examples of questions and facts:
+
+
+### Data Fields
+
+[More Information Needed]
+
+### Data Splits
+
+[More Information Needed]
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+[More Information Needed]
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+[More Information Needed]
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+[More Information Needed]
+
+### Contributions
+
+Thanks to [@abhishekkrthakur](https://github.com/abhishekkrthakur) for adding this dataset.

ecb.py

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+# coding=utf-8
+# Copyright 2020 HuggingFace Datasets Authors.
+#
+# 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.
+
+# Lint as: python3
+import os
+
+import datasets
+
+
+_DESCRIPTION = """\
+Original source: Website and documentatuion from the European Central Bank, compiled and made available by Alberto Simoes (thank you very much!)
+19 languages, 170 bitexts
+total number of files: 340
+total number of tokens: 757.37M
+total number of sentence fragments: 30.55M
+"""
+_HOMEPAGE_URL = ""
+_CITATION = """\
+@InProceedings{TIEDEMANN12.463,
+  author = {J�rg Tiedemann},
+  title = {Parallel Data, Tools and Interfaces in OPUS},
+  booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
+  year = {2012},
+  month = {may},
+  date = {23-25},
+  address = {Istanbul, Turkey},
+  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Ugur Dogan and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis},
+  publisher = {European Language Resources Association (ELRA)},
+  isbn = {978-2-9517408-7-7},
+  language = {english}
+ }
+"""
+
+_VERSION = "1.0.0"
+_BASE_NAME = "ECB.{}.{}"
+_BASE_URL = "https://object.pouta.csc.fi/OPUS-ECB/v1/moses/{}-{}.txt.zip"
+
+# Please note that only few pairs are shown here. You can use config to generate data for all language pairs
+_LANGUAGE_PAIRS = [
+    ("de", "fr"),
+    ("cs", "en"),
+    ("el", "it"),
+    ("en", "nl"),
+    ("fi", "pl"),
+]
+
+
+class EcbConfig(datasets.BuilderConfig):
+    def __init__(self, *args, lang1=None, lang2=None, **kwargs):
+        super().__init__(
+            *args,
+            name=f"{lang1}-{lang2}",
+            **kwargs,
+        )
+        self.lang1 = lang1
+        self.lang2 = lang2
+
+
+class Ecb(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        EcbConfig(
+            lang1=lang1,
+            lang2=lang2,
+            description=f"Translating {lang1} to {lang2} or vice versa",
+            version=datasets.Version(_VERSION),
+        )
+        for lang1, lang2 in _LANGUAGE_PAIRS
+    ]
+    BUILDER_CONFIG_CLASS = EcbConfig
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "translation": datasets.Translation(languages=(self.config.lang1, self.config.lang2)),
+                },
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE_URL,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        def _base_url(lang1, lang2):
+            return _BASE_URL.format(lang1, lang2)
+
+        download_url = _base_url(self.config.lang1, self.config.lang2)
+        path = dl_manager.download_and_extract(download_url)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"datapath": path},
+            )
+        ]
+
+    def _generate_examples(self, datapath):
+        l1, l2 = self.config.lang1, self.config.lang2
+        folder = l1 + "-" + l2
+        l1_file = _BASE_NAME.format(folder, l1)
+        l2_file = _BASE_NAME.format(folder, l2)
+        l1_path = os.path.join(datapath, l1_file)
+        l2_path = os.path.join(datapath, l2_file)
+        with open(l1_path, encoding="utf-8") as f1, open(l2_path, encoding="utf-8") as f2:
+            for sentence_counter, (x, y) in enumerate(zip(f1, f2)):
+                x = x.strip()
+                y = y.strip()
+                result = (
+                    sentence_counter,
+                    {
+                        "id": str(sentence_counter),
+                        "translation": {l1: x, l2: y},
+                    },
+                )
+                yield result