Tracking and adding LFS artifacts

.gitattributes

@@ -53,3 +53,10 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+data/data.01.json filter=lfs diff=lfs merge=lfs -text
+data/data.02.json filter=lfs diff=lfs merge=lfs -text
+data/data.03.json filter=lfs diff=lfs merge=lfs -text
+data/data.04.json filter=lfs diff=lfs merge=lfs -text
+data/data.05.json filter=lfs diff=lfs merge=lfs -text
+data/data.06.json filter=lfs diff=lfs merge=lfs -text
+data/data.00.json filter=lfs diff=lfs merge=lfs -text

Thai_loading_script.py

@@ -0,0 +1,80 @@
+"""Thai CulturaX clean dataset."""
+import json
+import datasets
+
+logger = datasets.logging.get_logger(__name__)
+_DESCRIPTION = """
+Mark12 dataset."""
+_CITATION = """EMPTY"""
+_URL = "EMPTY"
+_DATA_URL = "data/data.{index:02d}.json"
+_LICENSE="odc-by"
+
+
+class ThaiDatasetConfig(datasets.BuilderConfig):
+    """BuilderConfig for Dataset."""
+
+    def __init__(self, *args, languages="Thai", **kwargs):
+        """BuilderConfig for Dataset.
+        Args:
+            languages (:obj:`List[str]`): list of languages to load
+            **kwargs: keyword arguments forwarded to super.
+        """
+        super().__init__(
+            *args,
+            **kwargs,
+        )
+        self.languages = languages
+
+
+class ThaiDataset(datasets.GeneratorBasedBuilder):
+    """ThaiDataset clean dataset."""
+
+    BUILDER_CONFIGS = [
+        ThaiDatasetConfig(languages="Thai", version=datasets.Version("1.0.0"))
+    ]
+    BUILDER_CONFIG_CLASS = ThaiDatasetConfig
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                    "meta": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_URL,
+            citation=_CITATION,
+            license=_LICENSE,
+        )
+
+    def _split_generators(self, dl_manager):
+        data_urls = {}
+        for split in ["train"]:
+            data_urls[split] = [
+                _DATA_URL.format(
+                    index=index,
+                )
+                for index in range(0, 7)
+            ]
+        train_downloaded_files = dl_manager.download(data_urls["train"])
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepaths": train_downloaded_files},
+            ),
+        ]
+
+    def _generate_examples(self, filepaths):
+        id_ = 0
+        for filepath in filepaths:
+            logger.info("generating examples from = %s", filepath)
+            with open(filepath, "r",encoding="utf-8-sig") as f:
+                for line in f:
+                    if line:
+                        example = json.loads(line)
+                        yield id_, example
+                        id_ += 1

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