mariosasko
commited on
Commit
•
84251a5
1
Parent(s):
8766a11
Fix script
Browse files
MOCKS.py
CHANGED
@@ -18,11 +18,11 @@
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import csv
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import os
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import json
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import datasets
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_CITATION = """\
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@@ -41,96 +41,81 @@ audio testset for evaluation and benchmarking Open-Vocabulary Keyword Spotting (
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_BASE_URL = "https://huggingface.co/datasets/voiceintelligenceresearch/MOCKS/tree/main"
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_DL_URL = "https://huggingface.co/datasets/voiceintelligenceresearch/MOCKS/blob/main/"
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_TR_URL = "https://huggingface.co/datasets/voiceintelligenceresearch/MOCKS/raw/main/"
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_DL_URLS = {
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"de.MCV": {
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"offline":
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"online":
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"offline_transcription" :
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"online_transcription" :
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},
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"en.LS-clean": {
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"offline":
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"online":
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"offline_transcription" :
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"online_transcription" :
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},
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"en.LS-other": {
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"offline":
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"online":
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"offline_transcription" :
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"online_transcription" :
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},
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"en.MCV": {
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"offline":
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"online":
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"offline_transcription" :
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"online_transcription" :
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},
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"es.MCV": {
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"offline":
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"online":
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"offline_transcription" :
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"online_transcription" :
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},
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"fr.MCV": {
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"offline":
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"online":
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"offline_transcription"
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"online_transcription"
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},
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"it.MCV": {
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"offline":
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"online":
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"offline_transcription"
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"online_transcription"
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},
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"all": {
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"de.MCV.offline":
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"de.MCV.online":
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"en.LS-clean.offline":
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"en.LS-clean.online":
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"en.LS-other.offline":
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"en.LS-other.online":
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"en.MCV.offline":
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"en.MCV.online":
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"es.MCV.offline":
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"es.MCV.online":
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"fr.MCV.offline":
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"fr.MCV.online":
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"it.MCVoffline":
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"it.MCV.online":
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"de.MCV.offline_transcription"
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"de.MCV.online_transcription"
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"en.LS-clean.offline_transcription"
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"en.LS-clean.online_transcription"
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"en.LS-other.offline_transcription"
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"en.LS-other.online_transcription"
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"en.MCV.offline_transcription"
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"en.MCVonline_transcription"
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"es.MCV.offline_transcription"
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"es.MCV.online_transcription"
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"fr.MCV.offline_transcription"
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"fr.MCV.online_transcription"
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"it.MCV.offline_transcription"
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"it.MCV.online_transcription"
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}
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}
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logger = datasets.logging.get_logger(__name__)
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class MocksConfig(datasets.BuilderConfig):
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"""BuilderConfig for MOCKS testset."""
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def __init__(self, name, version, **kwargs):
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super(MocksConfig, self).__init__(
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name=name,
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version=datasets.Version(version),
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description=description,
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**kwargs,
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)
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class Mocks(datasets.GeneratorBasedBuilder):
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"""Mocks Dataset."""
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@@ -155,25 +140,20 @@ class Mocks(datasets.GeneratorBasedBuilder):
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"audio_id": datasets.Value("string"),
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"audio": datasets.Audio(sampling_rate=16_000),
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"transcription": datasets.Value("string"),
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"type": datasets.Value("string")
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}
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),
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supervised_keys=("file", "text"),
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homepage=_BASE_URL,
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citation=_CITATION
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)
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def _split_generators(self, dl_manager):
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archive_path = dl_manager.download(_DL_URLS[self.config.name])
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# (Optional) In non-streaming mode, we can extract the archive locally to have actual local audio files:
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local_extracted_archive = dl_manager.extract(archive_path) if not dl_manager.is_streaming else {}
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if self.config.name == "de.MCV":
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offline_split = [
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datasets.SplitGenerator(
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name="offline",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("offline"),
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"audio_files": dl_manager.iter_archive(archive_path["offline"]),
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"transcription": archive_path["offline_transcription"],
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"s_type": "offline"
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@@ -184,7 +164,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name="online",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("online"),
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"audio_files": dl_manager.iter_archive(archive_path["online"]),
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"transcription": archive_path["online_transcription"],
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"s_type": "online"
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@@ -197,7 +176,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name="offline",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("offline"),
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"audio_files": dl_manager.iter_archive(archive_path["offline"]),
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"transcription": archive_path["offline_transcription"],
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"s_type": "offline"
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@@ -208,7 +186,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name="online",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("online"),
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"audio_files": dl_manager.iter_archive(archive_path["online"]),
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"transcription": archive_path["online_transcription"],
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"s_type": "online"
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@@ -221,7 +198,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name="offline",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("offline"),
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"audio_files": dl_manager.iter_archive(archive_path["offline"]),
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"transcription": archive_path["offline_transcription"],
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"s_type": "offline"
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@@ -232,7 +208,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name="online",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("online"),
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"audio_files": dl_manager.iter_archive(archive_path["online"]),
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"transcription": archive_path["online_transcription"],
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"s_type": "online"
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@@ -245,7 +220,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name="offline",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("offline"),
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"audio_files": dl_manager.iter_archive(archive_path["offline"]),
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"transcription": archive_path["offline_transcription"],
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"s_type": "offline"
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@@ -256,7 +230,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name="online",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("online"),
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"audio_files": dl_manager.iter_archive(archive_path["online"]),
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"transcription": archive_path["online_transcription"],
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"s_type": "online"
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@@ -280,7 +253,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name="online",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("online"),
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"audio_files": dl_manager.iter_archive(archive_path["online"]),
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"transcription": archive_path["online_transcription"],
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"s_type": "online"
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@@ -293,7 +265,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name="offline",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("offline"),
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"audio_files": dl_manager.iter_archive(archive_path["offline"]),
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"transcription": archive_path["offline_transcription"],
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"s_type": "offline"
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@@ -304,7 +275,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name="online",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("online"),
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"audio_files": dl_manager.iter_archive(archive_path["online"]),
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"transcription": archive_path["online_transcription"],
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"s_type": "online"
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@@ -317,7 +287,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name="offline",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("offline"),
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"audio_files": dl_manager.iter_archive(archive_path["offline"]),
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"transcription": archive_path["offline_transcription"],
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"s_type": "offline"
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@@ -328,7 +297,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name="online",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("online"),
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"audio_files": dl_manager.iter_archive(archive_path["online"]),
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"transcription": archive_path["online_transcription"],
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"s_type": "online"
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@@ -341,7 +309,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name="de.MCV.offline",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("de.MCV.offline"),
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"audio_files": dl_manager.iter_archive(archive_path["de.MCV.offline"]),
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"transcription": archive_path["de.MCV.offline_transcription"],
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"s_type": "offline"
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@@ -350,7 +317,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name="en.LS-clean.offline",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("en.LS-clean.offline"),
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"audio_files": dl_manager.iter_archive(archive_path["en.LS-clean.offline"]),
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"transcription": archive_path["en.LS-clean.offline_transcription"],
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"s_type": "offline"
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@@ -359,7 +325,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name="en.LS-other.offline",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("en.LS-other.offline"),
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"audio_files": dl_manager.iter_archive(archive_path["en.LS-other.offline"]),
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"transcription": archive_path["en.LS-other.offline_transcription"],
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"s_type": "offline"
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@@ -368,7 +333,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name="en.MCV.offline",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("en.MCV.offline"),
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"audio_files": dl_manager.iter_archive(archive_path["en.MCV.offline"]),
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"transcription": archive_path["en.MCV.offline_transcription"],
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"s_type": "offline"
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@@ -377,7 +341,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name="es.MCV.offline",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("es.MCV.offline"),
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"audio_files": dl_manager.iter_archive(archive_path["es.MCV.offline"]),
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"transcription": archive_path["es.MCV.offline_transcription"],
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"s_type": "offline"
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datasets.SplitGenerator(
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name="fr.MCV.offline",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("fr.MCV.offline"),
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"audio_files": dl_manager.iter_archive(archive_path["fr.MCV.offline"]),
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"transcription": archive_path["fr.MCV.offline_transcription"],
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"s_type": "offline"
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@@ -395,7 +357,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name="it.MCV.offline",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("it.MCV.offline"),
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"audio_files": dl_manager.iter_archive(archive_path["it.MCV.offline"]),
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"transcription": archive_path["it.MCV.offline_transcription"],
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"s_type": "offline"
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datasets.SplitGenerator(
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name="de.MCV.online",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("de.MCV.online"),
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"audio_files": dl_manager.iter_archive(archive_path["de.MCV.online"]),
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"transcription": archive_path["de.MCV.offline_transconline"],
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"s_type": "online"
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}
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datasets.SplitGenerator(
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name="en.LS-clean.online",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("en.LS-clean.online"),
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"audio_files": dl_manager.iter_archive(archive_path["en.LS-clean.online"]),
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"transcription": archive_path["en.LS-clean.online_transcription"],
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"s_type": "online"
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datasets.SplitGenerator(
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name="en.LS-other.online",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("en.LS-other.online"),
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"audio_files": dl_manager.iter_archive(archive_path["en.LS-other.online"]),
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"transcription": archive_path["en.LS-other.online_transcription"],
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"s_type": "online"
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@@ -433,7 +390,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name="en.MCV.online",
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gen_kwargs={
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"local_extracted_archive": local_extracted_archive.get("en.MCV.online"),
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"audio_files": dl_manager.iter_archive(archive_path["en.MCV.online"]),
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"transcription": archive_path["en.MCV.online_transcription"],
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"s_type": "online"
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@@ -442,7 +398,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name="es.MCV.online",
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gen_kwargs={
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-
"local_extracted_archive": local_extracted_archive.get("es.MCV.online"),
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"audio_files": dl_manager.iter_archive(archive_path["es.MCV.online"]),
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"transcription": archive_path["es.MCV.online_transcription"],
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"s_type": "online"
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@@ -451,7 +406,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name="fr.MCV.online",
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gen_kwargs={
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-
"local_extracted_archive": local_extracted_archive.get("fr.MCV.online"),
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"audio_files": dl_manager.iter_archive(archive_path["fr.MCV.online"]),
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"transcription": archive_path["fr.MCV.online_transcription"],
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"s_type": "online"
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@@ -460,7 +414,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
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datasets.SplitGenerator(
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name="it.MCV.online",
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gen_kwargs={
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-
"local_extracted_archive": local_extracted_archive.get("it.MCV.online"),
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"audio_files": dl_manager.iter_archive(archive_path["it.MCV.online"]),
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"transcription": archive_path["it.MCV.online_transcription"],
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"s_type": "online"
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@@ -470,29 +423,20 @@ class Mocks(datasets.GeneratorBasedBuilder):
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return online_split + offline_split
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-
def _generate_examples(self,
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"""Lorem ipsum."""
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metadata = {}
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trans_col_name = "keyword_transcription"
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-
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if s_type == "online":
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trans_col_name = "adversary_keyword_transcription"
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logger.info(transcription)
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with open(transcription, encoding="utf-8") as f:
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-
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for row in f:
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-
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-
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audio_id =
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keyword = r[1]
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metadata[audio_id] = {"audio_id": audio_id,
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trans_col_name: keyword}
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inside_clips_dir = True
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id_ = 0
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for path, f in audio_files:
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_, audio_name = os.path.split(path)
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if audio_name in metadata:
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audio = {"bytes": f.read()}
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yield id_, {**metadata[
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id_ +=1
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import csv
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import os
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import datasets
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+
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+
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+
logger = datasets.logging.get_logger(__name__)
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|
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|
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_CITATION = """\
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_BASE_URL = "https://huggingface.co/datasets/voiceintelligenceresearch/MOCKS/tree/main"
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_DL_URLS = {
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"de.MCV": {
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"offline": "de/MCV/test/offline/data.tar.gz",
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"online": "de/MCV/test/online/data.tar.gz",
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"offline_transcription" : "de/MCV/test/data_offline_transcription.tsv",
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"online_transcription" : "de/MCV/test/data_online_transcription.tsv",
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},
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"en.LS-clean": {
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52 |
+
"offline": "en/LS-clean/test/offline/data.tar.gz",
|
53 |
+
"online": "en/LS-clean/test/online/data.tar.gz",
|
54 |
+
"offline_transcription" : "en/LS-clean/test/data_offline_transcription.tsv",
|
55 |
+
"online_transcription" : "en/LS-clean/test/data_online_transcription.tsv",
|
56 |
},
|
57 |
"en.LS-other": {
|
58 |
+
"offline": "en/LS-other/test/offline/data.tar.gz",
|
59 |
+
"online": "en/LS-other/test/online/data.tar.gz",
|
60 |
+
"offline_transcription" : "en/LS-other/test/data_offline_transcription.tsv",
|
61 |
+
"online_transcription" : "en/LS-other/test/data_online_transcription.tsv",
|
62 |
},
|
63 |
"en.MCV": {
|
64 |
+
"offline": "en/MCV/test/offline/data.tar.gz",
|
65 |
+
"online": "en/MCV/test/online/data.tar.gz",
|
66 |
+
"offline_transcription" : "en/MCV/test/data_offline_transcription.tsv",
|
67 |
+
"online_transcription" : "en/MCV/test/data_online_transcription.tsv",
|
68 |
},
|
69 |
"es.MCV": {
|
70 |
+
"offline": "es/MCV/test/offline/data.tar.gz",
|
71 |
+
"online": "es/MCV/test/online/data.tar.gz",
|
72 |
+
"offline_transcription" : "es/MCV/test/data_offline_transcription.tsv",
|
73 |
+
"online_transcription" : "es/MCV/test/data_online_transcription.tsv",
|
74 |
},
|
75 |
"fr.MCV": {
|
76 |
+
"offline": "fr/MCV/test/offline/data.tar.gz",
|
77 |
+
"online": "fr/MCV/test/online/data.tar.gz",
|
78 |
+
"offline_transcription": "fr/MCV/test/data_offline_transcription.tsv",
|
79 |
+
"online_transcription": "fr/MCV/test/data_online_transcription.tsv",
|
80 |
},
|
81 |
"it.MCV": {
|
82 |
+
"offline": "it/MCV/test/offline/data.tar.gz",
|
83 |
+
"online": "it/MCV/test/online/data.tar.gz",
|
84 |
+
"offline_transcription": "it/MCV/test/data_offline_transcription.tsv",
|
85 |
+
"online_transcription": "it/MCV/test/data_online_transcription.tsv",
|
86 |
},
|
87 |
"all": {
|
88 |
+
"de.MCV.offline": "de/MCV/test/offline/data.tar.gz",
|
89 |
+
"de.MCV.online": "de/MCV/test/online/data.tar.gz",
|
90 |
+
"en.LS-clean.offline": "en/LS-clean/test/offline/data.tar.gz",
|
91 |
+
"en.LS-clean.online": "en/LS-clean/test/online/data.tar.gz",
|
92 |
+
"en.LS-other.offline": "en/LS-other/test/offline/data.tar.gz",
|
93 |
+
"en.LS-other.online": "en/LS-other/test/online/data.tar.gz",
|
94 |
+
"en.MCV.offline": "en/MCV/test/offline/data.tar.gz",
|
95 |
+
"en.MCV.online": "en/MCV/test/online/data.tar.gz",
|
96 |
+
"es.MCV.offline": "es/MCV/test/offline/data.tar.gz",
|
97 |
+
"es.MCV.online": "es/MCV/test/online/data.tar.gz",
|
98 |
+
"fr.MCV.offline": "fr/MCV/test/offline/data.tar.gz",
|
99 |
+
"fr.MCV.online": "fr/MCV/test/online/data.tar.gz",
|
100 |
+
"it.MCVoffline": "it/MCV/test/offline/data.tar.gz",
|
101 |
+
"it.MCV.online": "it/MCV/test/online/data.tar.gz",
|
102 |
+
"de.MCV.offline_transcription": "de/MCV/test/data_offline_transcription.tsv",
|
103 |
+
"de.MCV.online_transcription": "de/MCV/test/data_online_transcription.tsv",
|
104 |
+
"en.LS-clean.offline_transcription": "en/LS-clean/test/data_offline_transcription.tsv",
|
105 |
+
"en.LS-clean.online_transcription": "en/LS-clean/test/data_online_transcription.tsv",
|
106 |
+
"en.LS-other.offline_transcription": "en/LS-other/test/data_offline_transcription.tsv",
|
107 |
+
"en.LS-other.online_transcription": "en/LS-other/test/data_online_transcription.tsv",
|
108 |
+
"en.MCV.offline_transcription": "en/MCV/test/data_offline_transcription.tsv",
|
109 |
+
"en.MCVonline_transcription": "en/MCV/test/data_online_transcription.tsv",
|
110 |
+
"es.MCV.offline_transcription": "es/MCV/test/data_offline_transcription.tsv",
|
111 |
+
"es.MCV.online_transcription": "es/MCV/test/data_online_transcription.tsv",
|
112 |
+
"fr.MCV.offline_transcription": "fr/MCV/test/data_offline_transcription.tsv",
|
113 |
+
"fr.MCV.online_transcription": "fr/MCV/test/data_online_transcription.tsv",
|
114 |
+
"it.MCV.offline_transcription": "it/MCV/test/data_offline_transcription.tsv",
|
115 |
+
"it.MCV.online_transcription": "it/MCV/test/data_online_transcription.tsv",
|
116 |
}
|
117 |
}
|
118 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
119 |
|
120 |
class Mocks(datasets.GeneratorBasedBuilder):
|
121 |
"""Mocks Dataset."""
|
|
|
140 |
"audio_id": datasets.Value("string"),
|
141 |
"audio": datasets.Audio(sampling_rate=16_000),
|
142 |
"transcription": datasets.Value("string"),
|
|
|
143 |
}
|
144 |
),
|
|
|
145 |
homepage=_BASE_URL,
|
146 |
citation=_CITATION
|
147 |
)
|
148 |
|
149 |
def _split_generators(self, dl_manager):
|
150 |
archive_path = dl_manager.download(_DL_URLS[self.config.name])
|
|
|
|
|
151 |
|
152 |
if self.config.name == "de.MCV":
|
153 |
offline_split = [
|
154 |
datasets.SplitGenerator(
|
155 |
name="offline",
|
156 |
gen_kwargs={
|
|
|
157 |
"audio_files": dl_manager.iter_archive(archive_path["offline"]),
|
158 |
"transcription": archive_path["offline_transcription"],
|
159 |
"s_type": "offline"
|
|
|
164 |
datasets.SplitGenerator(
|
165 |
name="online",
|
166 |
gen_kwargs={
|
|
|
167 |
"audio_files": dl_manager.iter_archive(archive_path["online"]),
|
168 |
"transcription": archive_path["online_transcription"],
|
169 |
"s_type": "online"
|
|
|
176 |
datasets.SplitGenerator(
|
177 |
name="offline",
|
178 |
gen_kwargs={
|
|
|
179 |
"audio_files": dl_manager.iter_archive(archive_path["offline"]),
|
180 |
"transcription": archive_path["offline_transcription"],
|
181 |
"s_type": "offline"
|
|
|
186 |
datasets.SplitGenerator(
|
187 |
name="online",
|
188 |
gen_kwargs={
|
|
|
189 |
"audio_files": dl_manager.iter_archive(archive_path["online"]),
|
190 |
"transcription": archive_path["online_transcription"],
|
191 |
"s_type": "online"
|
|
|
198 |
datasets.SplitGenerator(
|
199 |
name="offline",
|
200 |
gen_kwargs={
|
|
|
201 |
"audio_files": dl_manager.iter_archive(archive_path["offline"]),
|
202 |
"transcription": archive_path["offline_transcription"],
|
203 |
"s_type": "offline"
|
|
|
208 |
datasets.SplitGenerator(
|
209 |
name="online",
|
210 |
gen_kwargs={
|
|
|
211 |
"audio_files": dl_manager.iter_archive(archive_path["online"]),
|
212 |
"transcription": archive_path["online_transcription"],
|
213 |
"s_type": "online"
|
|
|
220 |
datasets.SplitGenerator(
|
221 |
name="offline",
|
222 |
gen_kwargs={
|
|
|
223 |
"audio_files": dl_manager.iter_archive(archive_path["offline"]),
|
224 |
"transcription": archive_path["offline_transcription"],
|
225 |
"s_type": "offline"
|
|
|
230 |
datasets.SplitGenerator(
|
231 |
name="online",
|
232 |
gen_kwargs={
|
|
|
233 |
"audio_files": dl_manager.iter_archive(archive_path["online"]),
|
234 |
"transcription": archive_path["online_transcription"],
|
235 |
"s_type": "online"
|
|
|
253 |
datasets.SplitGenerator(
|
254 |
name="online",
|
255 |
gen_kwargs={
|
|
|
256 |
"audio_files": dl_manager.iter_archive(archive_path["online"]),
|
257 |
"transcription": archive_path["online_transcription"],
|
258 |
"s_type": "online"
|
|
|
265 |
datasets.SplitGenerator(
|
266 |
name="offline",
|
267 |
gen_kwargs={
|
|
|
268 |
"audio_files": dl_manager.iter_archive(archive_path["offline"]),
|
269 |
"transcription": archive_path["offline_transcription"],
|
270 |
"s_type": "offline"
|
|
|
275 |
datasets.SplitGenerator(
|
276 |
name="online",
|
277 |
gen_kwargs={
|
|
|
278 |
"audio_files": dl_manager.iter_archive(archive_path["online"]),
|
279 |
"transcription": archive_path["online_transcription"],
|
280 |
"s_type": "online"
|
|
|
287 |
datasets.SplitGenerator(
|
288 |
name="offline",
|
289 |
gen_kwargs={
|
|
|
290 |
"audio_files": dl_manager.iter_archive(archive_path["offline"]),
|
291 |
"transcription": archive_path["offline_transcription"],
|
292 |
"s_type": "offline"
|
|
|
297 |
datasets.SplitGenerator(
|
298 |
name="online",
|
299 |
gen_kwargs={
|
|
|
300 |
"audio_files": dl_manager.iter_archive(archive_path["online"]),
|
301 |
"transcription": archive_path["online_transcription"],
|
302 |
"s_type": "online"
|
|
|
309 |
datasets.SplitGenerator(
|
310 |
name="de.MCV.offline",
|
311 |
gen_kwargs={
|
|
|
312 |
"audio_files": dl_manager.iter_archive(archive_path["de.MCV.offline"]),
|
313 |
"transcription": archive_path["de.MCV.offline_transcription"],
|
314 |
"s_type": "offline"
|
|
|
317 |
datasets.SplitGenerator(
|
318 |
name="en.LS-clean.offline",
|
319 |
gen_kwargs={
|
|
|
320 |
"audio_files": dl_manager.iter_archive(archive_path["en.LS-clean.offline"]),
|
321 |
"transcription": archive_path["en.LS-clean.offline_transcription"],
|
322 |
"s_type": "offline"
|
|
|
325 |
datasets.SplitGenerator(
|
326 |
name="en.LS-other.offline",
|
327 |
gen_kwargs={
|
|
|
328 |
"audio_files": dl_manager.iter_archive(archive_path["en.LS-other.offline"]),
|
329 |
"transcription": archive_path["en.LS-other.offline_transcription"],
|
330 |
"s_type": "offline"
|
|
|
333 |
datasets.SplitGenerator(
|
334 |
name="en.MCV.offline",
|
335 |
gen_kwargs={
|
|
|
336 |
"audio_files": dl_manager.iter_archive(archive_path["en.MCV.offline"]),
|
337 |
"transcription": archive_path["en.MCV.offline_transcription"],
|
338 |
"s_type": "offline"
|
|
|
341 |
datasets.SplitGenerator(
|
342 |
name="es.MCV.offline",
|
343 |
gen_kwargs={
|
|
|
344 |
"audio_files": dl_manager.iter_archive(archive_path["es.MCV.offline"]),
|
345 |
"transcription": archive_path["es.MCV.offline_transcription"],
|
346 |
"s_type": "offline"
|
|
|
349 |
datasets.SplitGenerator(
|
350 |
name="fr.MCV.offline",
|
351 |
gen_kwargs={
|
|
|
352 |
"audio_files": dl_manager.iter_archive(archive_path["fr.MCV.offline"]),
|
353 |
"transcription": archive_path["fr.MCV.offline_transcription"],
|
354 |
"s_type": "offline"
|
|
|
357 |
datasets.SplitGenerator(
|
358 |
name="it.MCV.offline",
|
359 |
gen_kwargs={
|
|
|
360 |
"audio_files": dl_manager.iter_archive(archive_path["it.MCV.offline"]),
|
361 |
"transcription": archive_path["it.MCV.offline_transcription"],
|
362 |
"s_type": "offline"
|
|
|
367 |
datasets.SplitGenerator(
|
368 |
name="de.MCV.online",
|
369 |
gen_kwargs={
|
|
|
|
|
370 |
"transcription": archive_path["de.MCV.offline_transconline"],
|
371 |
"s_type": "online"
|
372 |
}
|
|
|
374 |
datasets.SplitGenerator(
|
375 |
name="en.LS-clean.online",
|
376 |
gen_kwargs={
|
|
|
377 |
"audio_files": dl_manager.iter_archive(archive_path["en.LS-clean.online"]),
|
378 |
"transcription": archive_path["en.LS-clean.online_transcription"],
|
379 |
"s_type": "online"
|
|
|
382 |
datasets.SplitGenerator(
|
383 |
name="en.LS-other.online",
|
384 |
gen_kwargs={
|
|
|
385 |
"audio_files": dl_manager.iter_archive(archive_path["en.LS-other.online"]),
|
386 |
"transcription": archive_path["en.LS-other.online_transcription"],
|
387 |
"s_type": "online"
|
|
|
390 |
datasets.SplitGenerator(
|
391 |
name="en.MCV.online",
|
392 |
gen_kwargs={
|
|
|
393 |
"audio_files": dl_manager.iter_archive(archive_path["en.MCV.online"]),
|
394 |
"transcription": archive_path["en.MCV.online_transcription"],
|
395 |
"s_type": "online"
|
|
|
398 |
datasets.SplitGenerator(
|
399 |
name="es.MCV.online",
|
400 |
gen_kwargs={
|
|
|
401 |
"audio_files": dl_manager.iter_archive(archive_path["es.MCV.online"]),
|
402 |
"transcription": archive_path["es.MCV.online_transcription"],
|
403 |
"s_type": "online"
|
|
|
406 |
datasets.SplitGenerator(
|
407 |
name="fr.MCV.online",
|
408 |
gen_kwargs={
|
|
|
409 |
"audio_files": dl_manager.iter_archive(archive_path["fr.MCV.online"]),
|
410 |
"transcription": archive_path["fr.MCV.online_transcription"],
|
411 |
"s_type": "online"
|
|
|
414 |
datasets.SplitGenerator(
|
415 |
name="it.MCV.online",
|
416 |
gen_kwargs={
|
|
|
417 |
"audio_files": dl_manager.iter_archive(archive_path["it.MCV.online"]),
|
418 |
"transcription": archive_path["it.MCV.online_transcription"],
|
419 |
"s_type": "online"
|
|
|
423 |
|
424 |
return online_split + offline_split
|
425 |
|
426 |
+
def _generate_examples(self, audio_files, transcription, s_type):
|
427 |
"""Lorem ipsum."""
|
428 |
metadata = {}
|
|
|
|
|
|
|
|
|
|
|
429 |
with open(transcription, encoding="utf-8") as f:
|
430 |
+
f = csv.reader(f, delimiter="\t")
|
431 |
for row in f:
|
432 |
+
audio_id = row[0].split("/")[-1]
|
433 |
+
keyword_transcription = row[1]
|
434 |
+
metadata[audio_id] = {"audio_id": audio_id, "transcription": keyword_transcription}
|
|
|
|
|
|
|
435 |
|
|
|
436 |
id_ = 0
|
437 |
for path, f in audio_files:
|
438 |
_, audio_name = os.path.split(path)
|
439 |
if audio_name in metadata:
|
440 |
audio = {"bytes": f.read()}
|
441 |
+
yield id_, {**metadata[audio_name], "audio": audio}
|
442 |
id_ +=1
|