Update parquet files

.gitattributes

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-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
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-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
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-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
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-*tfevents* filter=lfs diff=lfs merge=lfs -text
-# Audio files - uncompressed
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yt-transcriptions.jsonl → default/youtube-transcription-train.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:de952ed2c3fd10b51fe73a515fc5b8b9c3c457fe6697b986ce734ceddb915a2f
-size 7147885
+oid sha256:863f10e91b4e5ac4a9415fd07464262e03da7a848d034713c9b55ff5e7f04f51
+size 2549797

youtube-transcription.py

@@ -1,79 +0,0 @@
-import datasets
-import json
-
-_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 YoutubeTranscription(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("1.2.0")
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "video_id": datasets.Value("string"),
-                    "title": 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"),
-                    "thumbnail": 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:
-            documents = f.readlines()
-            documents = [json.loads(x) for x in documents]
-            id_ = 0
-            for doc in documents:
-                data = {
-                    "video_id": doc["video_id"],
-                    "title": doc["title"],
-                    "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"],
-                    "thumbnail": doc["thumbnail"]
-                }
-                yield id_, data
-                id_ += 1
-