Update parquet files

.gitattributes

@@ -1,51 +0,0 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.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
-*.lz4 filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.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
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl 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
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
-# Audio files - uncompressed
-*.pcm filter=lfs diff=lfs merge=lfs -text
-*.sam filter=lfs diff=lfs merge=lfs -text
-*.raw filter=lfs diff=lfs merge=lfs -text
-# Audio files - compressed
-*.aac filter=lfs diff=lfs merge=lfs -text
-*.flac filter=lfs diff=lfs merge=lfs -text
-*.mp3 filter=lfs diff=lfs merge=lfs -text
-*.ogg filter=lfs diff=lfs merge=lfs -text
-*.wav filter=lfs diff=lfs merge=lfs -text
-# Image files - uncompressed
-*.bmp filter=lfs diff=lfs merge=lfs -text
-*.gif filter=lfs diff=lfs merge=lfs -text
-*.png filter=lfs diff=lfs merge=lfs -text
-*.tiff filter=lfs diff=lfs merge=lfs -text
-# Image files - compressed
-*.jpg filter=lfs diff=lfs merge=lfs -text
-*.jpeg filter=lfs diff=lfs merge=lfs -text
-*.webp filter=lfs diff=lfs merge=lfs -text

audio.tgz → all/test01-train.parquet

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-oid sha256:ba58e91bc9a87c57cb226a75a81734811ad274d176d9210e6549184822c4ae76
-size 23521945
+oid sha256:2c29183236ae585220bf5317eadcd75561a3ea8f19bbe66ed3b79f3d1e255647
+size 23821260

data/metadata_test.csv.gz → bal/test01-train.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5e976ad18d6b019dc12886c644f53c10defcfdbb056bbb655efe236c459e5ff5
-size 24347
+oid sha256:c1f37973d92159a4c675b3dc86df12970eb78b8070f141d99c7a86a401bba5b1
+size 9933147

languages.py

@@ -1,10 +0,0 @@
-LANGUAGES = {
-    'ace': 'Acehnese',
-    'bal': 'Balinese',
-    'bug': 'Bugisnese',
-    'id': 'Indonesian',
-    'min': 'Minangkabau',
-    'jav': 'Javanese',
-    'sun': 'Sundanese',
-    'all': 'All'
-}

release_stats.py

@@ -1,13 +0,0 @@
-STATS = {
-    "name": "Librivox-Indonesia",
-    "bundleURLTemplate": "https://huggingface.co/datasets/cahya/test01/resolve/main/audio.tgz",
-    "version": "1.0.0",
-    "date": "2022-09-04",
-    "multilingual": True,
-    "locales": {
-        "bal": {'duration': 10632910099, 'buckets': {'dev': 16335, 'invalidated': 242945, 'other': 267228, 'reported': 3903, 'test': 16335, 'train': 890116, 'validated': 1556254}, 'reportedSentences': 3842, 'clips': 2066427, 'splits': {'accent': {'': 1}, 'age': {'': 0.37, 'twenties': 0.24, 'sixties': 0.04, 'thirties': 0.13, 'teens': 0.06, 'seventies': 0.01, 'fourties': 0.1, 'fifties': 0.05, 'eighties': 0, 'nineties': 0}, 'gender': {'': 0.37, 'male': 0.46, 'female': 0.15, 'other': 0.02}}, 'users': 81085, 'size': 76768058135, 'checksum': '7c789a325e1d9f16137c1aeab9f45a1fde049a39b8fbf49e9ef4a8827ae67eae', 'avgDurationSecs': 5.146, 'validDurationSecs': 8007787.777, 'totalHrs': 2953.58, 'validHrs': 2224.38},
-        "sun": {'duration': 10632910099, 'buckets': {'dev': 16335, 'invalidated': 242945, 'other': 267228, 'reported': 3903, 'test': 16335, 'train': 890116, 'validated': 1556254}, 'reportedSentences': 3842, 'clips': 2066427, 'splits': {'accent': {'': 1}, 'age': {'': 0.37, 'twenties': 0.24, 'sixties': 0.04, 'thirties': 0.13, 'teens': 0.06, 'seventies': 0.01, 'fourties': 0.1, 'fifties': 0.05, 'eighties': 0, 'nineties': 0}, 'gender': {'': 0.37, 'male': 0.46, 'female': 0.15, 'other': 0.02}}, 'users': 81085, 'size': 76768058135, 'checksum': '7c789a325e1d9f16137c1aeab9f45a1fde049a39b8fbf49e9ef4a8827ae67eae', 'avgDurationSecs': 5.146, 'validDurationSecs': 8007787.777, 'totalHrs': 2953.58, 'validHrs': 2224.38},
-        "all": {'duration': 10632910099, 'buckets': {'dev': 16335, 'invalidated': 242945, 'other': 267228, 'reported': 3903, 'test': 16335, 'train': 890116, 'validated': 1556254}, 'reportedSentences': 3842, 'clips': 2066427, 'splits': {'accent': {'': 1}, 'age': {'': 0.37, 'twenties': 0.24, 'sixties': 0.04, 'thirties': 0.13, 'teens': 0.06, 'seventies': 0.01, 'fourties': 0.1, 'fifties': 0.05, 'eighties': 0, 'nineties': 0}, 'gender': {'': 0.37, 'male': 0.46, 'female': 0.15, 'other': 0.02}}, 'users': 81085, 'size': 76768058135, 'checksum': '7c789a325e1d9f16137c1aeab9f45a1fde049a39b8fbf49e9ef4a8827ae67eae', 'avgDurationSecs': 5.146, 'validDurationSecs': 8007787.777, 'totalHrs': 2953.58, 'validHrs': 2224.38},
-    },
-    'totalDuration': 72782088097, 'totalHrs': 20217, 'totalValidDurationSecs': 53904443, 'totalValidHrs': 14973,
-}

data/metadata_train.csv.gz → sun/test01-train.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3c74c39006e76f50a9aa8aa49fa9d1c44683f82a50c9dbf7d579640607f263e5
-size 189364
+oid sha256:b493d63e543a23850e01d4995cf3b98e9fad01fac92fe70bf7c39b0e8e83cacc
+size 13893759

test01.py

@@ -1,157 +0,0 @@
-# coding=utf-8
-# Copyright 2022 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-""" LibriVox-Indonesia Dataset"""
-
-
-import csv
-import os
-
-import datasets
-from datasets.utils.py_utils import size_str
-
-from .languages import LANGUAGES
-from .release_stats import STATS
-
-_CITATION = """\
-"""
-
-_HOMEPAGE = "https://huggingface.co/indonesian-nlp/librivox-indonesia"
-
-_LICENSE = "https://creativecommons.org/publicdomain/zero/1.0/"
-
-_AUDIO_URL = "https://huggingface.co/datasets/cahya/test01/resolve/main/audio.tgz"
-
-
-class Test01Config(datasets.BuilderConfig):
-    """BuilderConfig for Test01."""
-
-    def __init__(self, name, version, **kwargs):
-        print("## Kwargs", kwargs)
-        self.language = kwargs.pop("language", None)
-        self.release_date = kwargs.pop("release_date", None)
-        self.num_clips = kwargs.pop("num_clips", None)
-        self.num_speakers = kwargs.pop("num_speakers", None)
-        self.total_hr = kwargs.pop("total_hr", None)
-        self.size_bytes = kwargs.pop("size_bytes", None)
-        self.size_human = size_str(self.size_bytes)
-        description = (
-            f"LibriVox-Indonesia speech to text dataset in {self.language} released on {self.release_date}. "
-            f"The dataset comprises {self.total_hr} hours of transcribed speech data"
-        )
-        super(Test01Config, self).__init__(
-            name=name,
-            version=datasets.Version(version),
-            description=description,
-            **kwargs,
-        )
-
-
-class Test01(datasets.GeneratorBasedBuilder):
-    DEFAULT_CONFIG_NAME = "all"
-
-    BUILDER_CONFIGS = [
-        Test01Config(
-            name=lang,
-            version=STATS["version"],
-            language=LANGUAGES[lang],
-            release_date=STATS["date"],
-            num_clips=lang_stats["clips"],
-            num_speakers=lang_stats["users"],
-            total_hr=float(lang_stats["totalHrs"]) if lang_stats["totalHrs"] else None,
-            size_bytes=int(lang_stats["size"]) if lang_stats["size"] else None,
-        )
-        for lang, lang_stats in STATS["locales"].items()
-    ]
-
-    def _info(self):
-        total_languages = len(STATS["locales"])
-        total_hours = self.config.total_hr
-        description = (
-            "LibriVox-Indonesia is a speech dataset generated from LibriVox with only languages from Indonesia."
-            f"The dataset currently consists of {total_hours} hours of speech "
-            f" in {total_languages} languages, but more voices and languages are always added."
-        )
-        features = datasets.Features(
-            {
-                "path": datasets.Value("string"),
-                "language": datasets.Value("string"),
-                "reader": datasets.Value("string"),
-                "sentence": datasets.Value("string"),
-                "audio": datasets.features.Audio(sampling_rate=48_000)
-            }
-        )
-
-        return datasets.DatasetInfo(
-            description=description,
-            features=features,
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-            version=self.config.version,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        dl_manager.download_config.ignore_url_params = True
-
-        archive_path = dl_manager.download(_AUDIO_URL)
-        local_extracted_archive = dl_manager.extract(archive_path) if not dl_manager.is_streaming else None
-        path_to_clips = "audio"
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "local_extracted_archive": local_extracted_archive,
-                    "archive_iterator": dl_manager.iter_archive(archive_path),
-                    "metadata_filepath": "audio_transcription.csv",
-                    "path_to_clips": path_to_clips,
-                },
-            ),
-        ]
-
-    def _generate_examples(
-        self,
-        local_extracted_archive,
-        archive_iterator,
-        metadata_filepath,
-        path_to_clips,
-    ):
-        """Yields examples."""
-        data_fields = list(self._info().features.keys())
-        metadata = {}
-        filepath = local_extracted_archive + "/audio/audio_transcription.csv"
-        with open(filepath, "r") as f:
-            lines = (line for line in f)
-            utterances = csv.DictReader(lines)
-            for row in utterances:
-                if self.config.name == "all" or self.config.name == row["language"]:
-                    row["path"] = os.path.join(path_to_clips, row["path"])
-                    # if data is incomplete, fill with empty values
-                    for field in data_fields:
-                        if field not in row:
-                            row[field] = ""
-                    metadata[row["path"]] = row
-        for path, f in archive_iterator:
-            if path in metadata:
-                result = dict(metadata[path])
-                # set the audio feature and the path to the extracted file
-                path = os.path.join(local_extracted_archive, path) if local_extracted_archive else path
-                result["audio"] = {"path": path, "bytes": f.read()}
-                # set path to None if the audio file doesn't exist locally (i.e. in streaming mode)
-                result["path"] = path if local_extracted_archive else None
-
-                yield path, result

usage.py

@@ -1,10 +0,0 @@
-from datasets import load_dataset
-
-
-def main():
-    ds = load_dataset("./test01.py", "bal", ignore_verifications=True)
-    print(ds)
-
-
-if __name__ == "__main__":
-    main()