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dataset.py

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+import csv, datasets, os
+
+class Voaburmese(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
+
+    _SLOT2IDX = {"morning": 0, "evening": 1}
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description="VOA Burmese Morning & Evening audio index (2012-09-16 → today)",
+            license="odc-pddl-1.0",
+            features=datasets.Features(
+                {
+                    "id":           datasets.Value("string"),
+                    "date":         datasets.Value("string"),
+                    "slot":         datasets.ClassLabel(names=["morning", "evening"]),
+                    "title":        datasets.Value("string"),
+                    "article_url":  datasets.Value("string"),
+                    "audio":        datasets.Audio(),   # remote MP3 streamed on access
+                }
+            ),
+        )
+
+    def _split_generators(self, dl_manager):
+        # the CSV is shipped with the repo; no need to download
+        csv_path = os.path.join(self._get_manual_data_dir(), "index.csv")
+        return [datasets.SplitGenerator(name="train", gen_kwargs={"csv_path": csv_path})]
+
+    def _generate_examples(self, csv_path):
+        with open(csv_path, newline="", encoding="utf-8") as f:
+            for i, row in enumerate(csv.DictReader(f)):
+                yield i, {
+                    "id":          f"{row['date']}_{row['slot']}",
+                    "date":        row["date"],
+                    "slot":        self._SLOT2IDX[row["slot"]],
+                    "title":       row["title"],
+                    "article_url": row["article_url"],
+                    "audio":       row["mp3_url"],
+                }