commit files to HF hub

youtube-transcription.py

@@ -0,0 +1,72 @@
+import datasets
+
+_CITATION = """\
+@InProceedings{huggingface:dataset,
+title = {A great new dataset},
+author={huggingface, Inc.
+},
+year={2021}
+}
+"""
+
+_DESCRIPTION = """\
+This is YouTube video transcription dataset built from YTTTS Speech Collection for semantic search.
+"""
+_HOMEPAGE = "https://huggingface.co/datasets/ashraq/youtube-transcription"
+
+_LICENSE = ""
+
+TRAIN_URL = "yt-transcriptions.jsonl"
+
+
+class DhivehiCorpus(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.1.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "video_id": datasets.Value("string"),
+                    "text": datasets.Value("string"),
+                    "start_timestamp": datasets.Value("string"),
+                    "end_timestamp": datasets.Value("string"),
+                    "start_second": datasets.Value("string"),
+                    "end_second": datasets.Value("string"),
+                    "url": datasets.Value("string")
+                },
+            ),
+            
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        train_path = dl_manager.download_and_extract(TRAIN_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": train_path,
+                    "split": "train",
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        with open(filepath, encoding="utf8") as f:
+            id_ = 0
+            for doc in f:
+                data = {
+                    "video_id": doc["video_id"],
+                    "text": doc["text"],
+                    "start_timestamp": doc["start_timestamp"],
+                    "end_timestamp": doc["end_timestamp"],
+                    "start_second": doc["start_second"],
+                    "end_second": doc["end_second"],
+                    "url": doc["url"]
+                }
+                yield id_, data
+                id_ += 1
+