Upload mozilla_pontoon.py with huggingface_hub

mozilla_pontoon.py

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+# coding=utf-8
+# Copyright 2022 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.
+from typing import Dict, List, Tuple
+
+import datasets
+
+from seacrowd.utils import schemas
+from seacrowd.utils.configs import SEACrowdConfig
+from seacrowd.utils.constants import Licenses, Tasks
+
+# Keep blank; dataset has no associated paper
+_CITATION = """\
+@article{,
+  author    = {},
+  title     = {},
+  journal   = {},
+  volume    = {},
+  year      = {},
+  url       = {},
+  doi       = {},
+  biburl    = {},
+  bibsource = {}
+}
+"""
+
+_LOCAL = False
+_LANGUAGES = ["mya", "ceb", "gor", "hil", "ilo", "ind", "jav", "khm", "lao", "zlm", "nia", "tgl", "tha", "vie"]
+
+_DATASETNAME = "mozilla_pontoon"
+_DESCRIPTION = """
+This dataset contains crowdsource translations of more than 200 languages for
+different Mozilla open-source projects from Mozilla's Pontoon localization platform.
+Source sentences are in English.
+"""
+
+_HOMEPAGE = "https://huggingface.co/datasets/ayymen/Pontoon-Translations"
+_LICENSE = Licenses.BSD_3_CLAUSE.value
+_URL = "https://huggingface.co/datasets/ayymen/Pontoon-Translations"
+
+_SUPPORTED_TASKS = [Tasks.MACHINE_TRANSLATION]
+_SOURCE_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
+
+
+class MozillaPontoonDataset(datasets.GeneratorBasedBuilder):
+    """Dataset of translations from Mozilla's Pontoon platform."""
+
+    # Two-letter ISO code is used when available
+    # otherwise 3-letter one is used
+    LANG_CODE_MAPPER = {"mya": "my", "ceb": "ceb", "gor": "gor", "hil": "hil", "ilo": "ilo", "ind": "id", "jav": "jv", "khm": "km", "lao": "lo", "zlm": "ms", "nia": "nia", "tgl": "tl", "tha": "th", "vie": "vi"}
+
+    # Config to load individual datasets per language
+    BUILDER_CONFIGS = [
+        SEACrowdConfig(
+            name=f"{_DATASETNAME}_eng_{lang}_source",
+            version=datasets.Version(_SOURCE_VERSION),
+            description=f"{_DATASETNAME} source schema for {lang} language",
+            schema="source",
+            subset_id=f"{_DATASETNAME}_eng_{lang}",
+        )
+        for lang in _LANGUAGES
+    ] + [
+        SEACrowdConfig(
+            name=f"{_DATASETNAME}_eng_{lang}_seacrowd_t2t",
+            version=datasets.Version(_SEACROWD_VERSION),
+            description=f"{_DATASETNAME} SEACrowd schema for {lang} language",
+            schema="seacrowd_t2t",
+            subset_id=f"{_DATASETNAME}_eng_{lang}",
+        )
+        for lang in _LANGUAGES
+    ]
+
+    # Config to load all datasets
+    BUILDER_CONFIGS.extend(
+        [
+            SEACrowdConfig(
+                name=f"{_DATASETNAME}_source",
+                version=datasets.Version(_SOURCE_VERSION),
+                description=f"{_DATASETNAME} source schema for all languages",
+                schema="source",
+                subset_id=_DATASETNAME,
+            ),
+            SEACrowdConfig(
+                name=f"{_DATASETNAME}_seacrowd_t2t",
+                version=datasets.Version(_SEACROWD_VERSION),
+                description=f"{_DATASETNAME} SEACrowd schema for all languages",
+                schema="seacrowd_t2t",
+                subset_id=_DATASETNAME,
+            ),
+        ]
+    )
+
+    DEFAULT_CONFIG_NAME = f"{_DATASETNAME}_source"
+
+    def _info(self) -> datasets.DatasetInfo:
+        if self.config.schema == "source":
+            features = datasets.Features(
+                {
+                    "source_string": datasets.Value("string"),
+                    "target_string": datasets.Value("string"),
+                }
+            )
+        elif self.config.schema == "seacrowd_t2t":
+            features = schemas.text2text_features
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
+        """Returns SplitGenerators."""
+        # dl_manager not used since dataloader uses HF 'load_dataset'
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"split": "train"},
+            ),
+        ]
+
+    def _load_hf_data_from_remote(self, language: str) -> datasets.DatasetDict:
+        """Load dataset from HuggingFace."""
+        hf_lang_code = self.LANG_CODE_MAPPER[language]
+        hf_remote_ref = "/".join(_URL.split("/")[-2:])
+        return datasets.load_dataset(hf_remote_ref, f"en-{hf_lang_code}", split="train")
+
+    def _generate_examples(self, split: str) -> Tuple[int, Dict]:
+        """Yields examples as (key, example) tuples."""
+        languages = []
+        pontoon_datasets = []
+
+        lang = self.config.subset_id.split("_")[-1]
+        if lang in _LANGUAGES:
+            languages.append(lang)
+            pontoon_datasets.append(self._load_hf_data_from_remote(lang))
+        else:
+            for lang in _LANGUAGES:
+                languages.append(lang)
+                pontoon_datasets.append(self._load_hf_data_from_remote(lang))
+
+        index = 0
+        for lang, lang_subset in zip(languages, pontoon_datasets):
+            for row in lang_subset:
+                if self.config.schema == "source":
+                    example = row
+
+                elif self.config.schema == "seacrowd_t2t":
+                    example = {
+                        "id": str(index),
+                        "text_1": row["source_string"],
+                        "text_2": row["target_string"],
+                        "text_1_name": "eng",
+                        "text_2_name": lang,
+                    }
+                yield index, example
+                index += 1