init

Pile_mC4.py

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+"""South East Asia ID Language mC4 dataset."""
+import gzip
+import json
+import datasets
+
+
+logger = datasets.logging.get_logger(__name__)
+
+_DESCRIPTION = """South East Asia ID Language mC4 dataset."""
+_CITATION = ""  # EMPTY
+_HOMEPAGE = ""  # EMPTY
+
+_DATA_URL = "https://huggingface.co/datasets/mohjamwong/pile-id/resolve/main/pile-mc4/{language}/mc4-{language}-{index:05d}-of-{n_shards:05d}.json.gz"
+
+_N_SHARDS_PER_LANGUAGE = {
+    "id": 21,
+}
+
+
+class PileConfig(datasets.BuilderConfig):
+    """BuilderConfig for Pile mC4 dataset."""
+
+    def __init__(self, language, n_shards, **kwargs):
+        """BuilderConfig for Pile mC4.
+        Args:
+            language (str): Language code for the dataset.
+            n_shards (int): Number of shards for this language.
+            **kwargs: Keyword arguments forwarded to super.
+        """
+        super().__init__(**kwargs)
+        self.language = language
+        self.n_shards = n_shards
+
+
+class Pile(datasets.GeneratorBasedBuilder):
+    """South East Asia mC4 dataset."""
+
+    VERSION = datasets.Version("1.0.0")
+    BUILDER_CONFIGS = [
+        PileConfig(
+            name=lang,
+            language=lang,
+            n_shards=n_shards,
+            description=f"Pile mC4 dataset for {lang} language.",
+        )
+        for lang, n_shards in _N_SHARDS_PER_LANGUAGE.items()
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features({
+                "text": datasets.Value("string"),
+            }),
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        lang = self.config.language
+        n_shards = self.config.n_shards
+
+        urls = [
+            _DATA_URL.format(
+                language=lang,
+                index=index,
+                n_shards=n_shards,
+            )
+            for index in range(n_shards)
+        ]
+
+        downloaded_files = dl_manager.download(urls)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepaths": downloaded_files},
+            ),
+        ]
+
+    def _generate_examples(self, filepaths):
+        """Generates examples from JSON lines files."""
+        id_ = 0
+        for filepath in filepaths:
+            logger.info("Processing file: %s", filepath)
+            with gzip.open(filepath, "rt", encoding="utf-8") as f:
+                for line in f:
+                    line = line.strip()
+                    if line:
+                        example = json.loads(line)
+                        yield id_, {
+                            "text": example["text"],
+                        }
+                        id_ += 1
+

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