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README.md

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----
-annotations_creators:
-- found
-language_creators:
-- found
-language:
-- en
-- xh
-license:
-- unknown
-multilinguality:
-- translation
-size_categories:
-- 100K<n<1M
-source_datasets:
-- original
-task_categories:
-- translation
-task_ids: []
-paperswithcode_id: null
-pretty_name: OpusMemat
-dataset_info:
-  features:
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - xh
-        - en
-  config_name: xh-en
-  splits:
-  - name: train
-    num_bytes: 25400570
-    num_examples: 154764
-  download_size: 8382865
-  dataset_size: 25400570
----
-
-# Dataset Card for [opus_memat]
-
-## 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:**[memat](http://opus.nlpl.eu/memat.php)
-- **Repository:**
-- **Paper:**
-- **Leaderboard:**
-- **Point of Contact:**
-
-### Dataset Summary
-
-Xhosa-English parallel corpora, funded by EPSRC, the Medical Machine Translation project worked on machine translation between ixiXhosa and English, with a focus on the medical domain.
-
-### Supported Tasks and Leaderboards
-
-The underlying task is machine translation from Xhosa to English
-
-### Languages
-
-[More Information Needed]
-
-## Dataset Structure
-
-### Data Instances
-
-[More Information Needed]
-
-### Data Fields
-
-[More Information Needed]
-
-### Data Splits
-
-[More Information Needed]
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed]
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed]
-
-#### Who are the source language producers?
-
-[More Information Needed]
-
-### Annotations
-
-#### 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
-
-J. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)
-
-
-### Contributions
-
-Thanks to [@spatil6](https://github.com/spatil6) for adding this dataset.

dataset_infos.json

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-{"xh-en": {"description": "Xhosa-English parallel corpora, funded by EPSRC, the Medical Machine Translation project worked on machine translation between ixiXhosa and English, with a focus on the medical domain.", "citation": "J. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)\n\n", "homepage": "http://opus.nlpl.eu/memat.php", "license": "", "features": {"translation": {"languages": ["xh", "en"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "builder_name": "opus_memat", "config_name": "xh-en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 25400570, "num_examples": 154764, "dataset_name": "opus_memat"}}, "download_checksums": {"https://object.pouta.csc.fi/OPUS-memat/v1/moses/en-xh.txt.zip": {"num_bytes": 8382865, "checksum": "2114fea4207f3a463b3c406d9f9661892bb62883b24d3befd7cf4b93dc001613"}}, "download_size": 8382865, "post_processing_size": null, "dataset_size": 25400570, "size_in_bytes": 33783435}}

opus_memat.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.
-"""Xhosa-English parallel corpora, """
-
-
-import os
-
-import datasets
-
-
-_CITATION = """\
-J. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th\
- International Conference on Language Resources and Evaluation (LREC 2012)
-
-"""
-
-_DESCRIPTION = """\
-Xhosa-English parallel corpora, funded by EPSRC, the Medical Machine Translation project worked on machine translation\
- between ixiXhosa and English, with a focus on the medical domain."""
-
-
-_URLs = {"train": "https://object.pouta.csc.fi/OPUS-memat/v1/moses/en-xh.txt.zip"}
-
-
-class OpusMemat(datasets.GeneratorBasedBuilder):
-
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="xh-en", version=VERSION, description="Xhosa-English parallel corpora")
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {"translation": datasets.features.Translation(languages=tuple(self.config.name.split("-")))}
-            ),
-            supervised_keys=None,
-            homepage="http://opus.nlpl.eu/memat.php",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        data_dir = dl_manager.download_and_extract(_URLs)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "source_file": os.path.join(data_dir["train"], "memat.en-xh.xh"),
-                    "target_file": os.path.join(data_dir["train"], "memat.en-xh.en"),
-                    "split": "train",
-                },
-            ),
-        ]
-
-    def _generate_examples(self, source_file, target_file, split):
-        """This function returns the examples in the raw (text) form."""
-        with open(source_file, encoding="utf-8") as f:
-            source_sentences = f.read().split("\n")
-        with open(target_file, encoding="utf-8") as f:
-            target_sentences = f.read().split("\n")
-
-        assert len(target_sentences) == len(source_sentences), "Sizes do not match: %d vs %d for %s vs %s." % (
-            len(source_sentences),
-            len(target_sentences),
-            source_file,
-            target_file,
-        )
-
-        source, target = tuple(self.config.name.split("-"))
-        for idx, (l1, l2) in enumerate(zip(source_sentences, target_sentences)):
-            result = {"translation": {source: l1, target: l2}}
-            yield idx, result

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