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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
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+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
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+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
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+# Image files - compressed
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.gitignore

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+*.zip
+*.tsv
+*.gz

README.md

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+---
+license: openrail
+task_categories:
+- translation
+- text-generation
+- text2text-generation
+language:
+- en
+- az
+tags:
+- azerbaijani books
+- azerbaijani news
+- azerbaijani poems
+- azerbaijani articles
+- azerbaijani dataset
+pretty_name: English-Azerbaijani Dataset
+size_categories:
+- 1M<n<10M
+---
+
+# Description
+Dataset used to train our mT5 based model for machine translation, extracted from various text sources of National Library of Azerbaijan: [mT5-translation-enaz](https://huggingface.co/learningmachineaz/mt5-enaz-10m) \
+It has only clean texts. Wiki articles wasn't used as they contain a lot of irrelevant data.
+
+| Key point               | Info |
+|-------------------------|---------|
+| Rows | ~10mil. EN-AZ sentence pairs    |
+| Size | 975M (zipped) / 2.8G (unzipped)    |
+| Format | TSV (tab separated pairs)    |
+| English | Google Translate    |
+| Azerbaijani | Original cleaned text    |
+
+## Author
+Collected and prepared by [Renat Kalimulin](https://www.linkedin.com/in/rinat-kalimulin-16853358/)

dataset_infos.json

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+{"default": {"description": "Machine translation EN-AZ dataset based on Google Translate and National Library of Azerbaijan.\n", "citation": "@InProceedings{\nhuggingface:dataset,\ntitle={Machine translation EN-AZ dataset},\nauthor={Learning Machine LLC},\nyear={2022}\n}\n", "homepage": "https://huggingface.co/datasets/learningmachineaz/translate_enaz_10m", "license": "Apache", "features": {"translation": {"dtype": "string", "id": null, "_type": "Value"}, "source_text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "translate_enaz_10m", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3007177626, "num_examples": 9962727, "dataset_name": "translate_enaz_10m"}}, "download_checksums": {"https://learningmachine.az/datasets/translate_enaz_10m.zip": {"num_bytes": 1022192839, "checksum": "93031000aa80000abf9d2d0df033053c91af86104e2c7f36b9fbbd2283d24bf4"}}, "download_size": 1022192839, "post_processing_size": null, "dataset_size": 3007177626, "size_in_bytes": 4029370465}}

translate_enaz_10m.py

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+# 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.
+"""Machine translation EN-AZ dataset based on Google Translate and National Library of Azerbaijan."""
+
+
+import os
+import datasets
+
+
+_CITATION = """\
+@InProceedings{
+huggingface:dataset,
+title={Machine translation EN-AZ dataset},
+author={Learning Machine LLC},
+year={2022}
+}
+"""
+
+_DESCRIPTION = """\
+Machine translation EN-AZ dataset based on Google Translate and National Library of Azerbaijan.
+"""
+
+_HOMEPAGE = "https://huggingface.co/datasets/learningmachineaz/translate_enaz_10m"
+
+_LICENSE = "Apache"
+
+_URL = "https://learningmachine.az/datasets/translate_enaz_10m.zip"
+
+
+class TranslateEnaz10m(datasets.GeneratorBasedBuilder):
+
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "translation": datasets.Value("string"),
+                "source_text": datasets.Value("string"),
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        data_dir = dl_manager.download_and_extract(_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN, 
+                gen_kwargs={
+                    "file_path": os.path.join(data_dir, "dataset_enaz_10m.tsv")
+                }
+            )
+        ]
+
+    def _generate_examples(self, file_path):
+        with open(file_path, "r", encoding="utf-8") as f:
+            for id_, row in enumerate(f):
+                row = row.split("\t")
+                yield id_, {
+                    "translation": row[0].strip(),
+                    "source_text": row[1].strip(),
+                }