Fix dataset script
#5
by
mariosasko
- opened
MOCKS.py
CHANGED
@@ -18,11 +18,11 @@
|
|
18 |
|
19 |
import csv
|
20 |
import os
|
21 |
-
import json
|
22 |
|
23 |
import datasets
|
24 |
-
|
25 |
-
|
|
|
26 |
|
27 |
|
28 |
_CITATION = """\
|
@@ -41,96 +41,81 @@ audio testset for evaluation and benchmarking Open-Vocabulary Keyword Spotting (
|
|
41 |
|
42 |
|
43 |
_BASE_URL = "https://huggingface.co/datasets/voiceintelligenceresearch/MOCKS/tree/main"
|
44 |
-
_DL_URL = "https://huggingface.co/datasets/voiceintelligenceresearch/MOCKS/blob/main/"
|
45 |
-
_TR_URL = "https://huggingface.co/datasets/voiceintelligenceresearch/MOCKS/raw/main/"
|
46 |
_DL_URLS = {
|
47 |
"de.MCV": {
|
48 |
-
"offline":
|
49 |
-
"online":
|
50 |
-
"offline_transcription" :
|
51 |
-
"online_transcription" :
|
52 |
},
|
53 |
"en.LS-clean": {
|
54 |
-
"offline":
|
55 |
-
"online":
|
56 |
-
"offline_transcription" :
|
57 |
-
"online_transcription" :
|
58 |
},
|
59 |
"en.LS-other": {
|
60 |
-
"offline":
|
61 |
-
"online":
|
62 |
-
"offline_transcription" :
|
63 |
-
"online_transcription" :
|
64 |
},
|
65 |
"en.MCV": {
|
66 |
-
"offline":
|
67 |
-
"online":
|
68 |
-
"offline_transcription" :
|
69 |
-
"online_transcription" :
|
70 |
},
|
71 |
"es.MCV": {
|
72 |
-
"offline":
|
73 |
-
"online":
|
74 |
-
"offline_transcription" :
|
75 |
-
"online_transcription" :
|
76 |
},
|
77 |
"fr.MCV": {
|
78 |
-
"offline":
|
79 |
-
"online":
|
80 |
-
"offline_transcription"
|
81 |
-
"online_transcription"
|
82 |
},
|
83 |
"it.MCV": {
|
84 |
-
"offline":
|
85 |
-
"online":
|
86 |
-
"offline_transcription"
|
87 |
-
"online_transcription"
|
88 |
},
|
89 |
"all": {
|
90 |
-
"de.MCV.offline":
|
91 |
-
"de.MCV.online":
|
92 |
-
"en.LS-clean.offline":
|
93 |
-
"en.LS-clean.online":
|
94 |
-
"en.LS-other.offline":
|
95 |
-
"en.LS-other.online":
|
96 |
-
"en.MCV.offline":
|
97 |
-
"en.MCV.online":
|
98 |
-
"es.MCV.offline":
|
99 |
-
"es.MCV.online":
|
100 |
-
"fr.MCV.offline":
|
101 |
-
"fr.MCV.online":
|
102 |
-
"it.MCVoffline":
|
103 |
-
"it.MCV.online":
|
104 |
-
"de.MCV.offline_transcription"
|
105 |
-
"de.MCV.online_transcription"
|
106 |
-
"en.LS-clean.offline_transcription"
|
107 |
-
"en.LS-clean.online_transcription"
|
108 |
-
"en.LS-other.offline_transcription"
|
109 |
-
"en.LS-other.online_transcription"
|
110 |
-
"en.MCV.offline_transcription"
|
111 |
-
"en.MCVonline_transcription"
|
112 |
-
"es.MCV.offline_transcription"
|
113 |
-
"es.MCV.online_transcription"
|
114 |
-
"fr.MCV.offline_transcription"
|
115 |
-
"fr.MCV.online_transcription"
|
116 |
-
"it.MCV.offline_transcription"
|
117 |
-
"it.MCV.online_transcription"
|
118 |
}
|
119 |
}
|
120 |
|
121 |
-
logger = datasets.logging.get_logger(__name__)
|
122 |
-
|
123 |
-
class MocksConfig(datasets.BuilderConfig):
|
124 |
-
"""BuilderConfig for MOCKS testset."""
|
125 |
-
|
126 |
-
def __init__(self, name, version, **kwargs):
|
127 |
-
|
128 |
-
super(MocksConfig, self).__init__(
|
129 |
-
name=name,
|
130 |
-
version=datasets.Version(version),
|
131 |
-
description=description,
|
132 |
-
**kwargs,
|
133 |
-
)
|
134 |
|
135 |
class Mocks(datasets.GeneratorBasedBuilder):
|
136 |
"""Mocks Dataset."""
|
@@ -155,25 +140,20 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
155 |
"audio_id": datasets.Value("string"),
|
156 |
"audio": datasets.Audio(sampling_rate=16_000),
|
157 |
"transcription": datasets.Value("string"),
|
158 |
-
"type": datasets.Value("string")
|
159 |
}
|
160 |
),
|
161 |
-
supervised_keys=("file", "text"),
|
162 |
homepage=_BASE_URL,
|
163 |
citation=_CITATION
|
164 |
)
|
165 |
|
166 |
def _split_generators(self, dl_manager):
|
167 |
archive_path = dl_manager.download(_DL_URLS[self.config.name])
|
168 |
-
# (Optional) In non-streaming mode, we can extract the archive locally to have actual local audio files:
|
169 |
-
local_extracted_archive = dl_manager.extract(archive_path) if not dl_manager.is_streaming else {}
|
170 |
|
171 |
if self.config.name == "de.MCV":
|
172 |
offline_split = [
|
173 |
datasets.SplitGenerator(
|
174 |
name="offline",
|
175 |
gen_kwargs={
|
176 |
-
"local_extracted_archive": local_extracted_archive.get("offline"),
|
177 |
"audio_files": dl_manager.iter_archive(archive_path["offline"]),
|
178 |
"transcription": archive_path["offline_transcription"],
|
179 |
"s_type": "offline"
|
@@ -184,7 +164,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
184 |
datasets.SplitGenerator(
|
185 |
name="online",
|
186 |
gen_kwargs={
|
187 |
-
"local_extracted_archive": local_extracted_archive.get("online"),
|
188 |
"audio_files": dl_manager.iter_archive(archive_path["online"]),
|
189 |
"transcription": archive_path["online_transcription"],
|
190 |
"s_type": "online"
|
@@ -197,7 +176,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
197 |
datasets.SplitGenerator(
|
198 |
name="offline",
|
199 |
gen_kwargs={
|
200 |
-
"local_extracted_archive": local_extracted_archive.get("offline"),
|
201 |
"audio_files": dl_manager.iter_archive(archive_path["offline"]),
|
202 |
"transcription": archive_path["offline_transcription"],
|
203 |
"s_type": "offline"
|
@@ -208,7 +186,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
208 |
datasets.SplitGenerator(
|
209 |
name="online",
|
210 |
gen_kwargs={
|
211 |
-
"local_extracted_archive": local_extracted_archive.get("online"),
|
212 |
"audio_files": dl_manager.iter_archive(archive_path["online"]),
|
213 |
"transcription": archive_path["online_transcription"],
|
214 |
"s_type": "online"
|
@@ -221,7 +198,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
221 |
datasets.SplitGenerator(
|
222 |
name="offline",
|
223 |
gen_kwargs={
|
224 |
-
"local_extracted_archive": local_extracted_archive.get("offline"),
|
225 |
"audio_files": dl_manager.iter_archive(archive_path["offline"]),
|
226 |
"transcription": archive_path["offline_transcription"],
|
227 |
"s_type": "offline"
|
@@ -232,7 +208,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
232 |
datasets.SplitGenerator(
|
233 |
name="online",
|
234 |
gen_kwargs={
|
235 |
-
"local_extracted_archive": local_extracted_archive.get("online"),
|
236 |
"audio_files": dl_manager.iter_archive(archive_path["online"]),
|
237 |
"transcription": archive_path["online_transcription"],
|
238 |
"s_type": "online"
|
@@ -245,7 +220,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
245 |
datasets.SplitGenerator(
|
246 |
name="offline",
|
247 |
gen_kwargs={
|
248 |
-
"local_extracted_archive": local_extracted_archive.get("offline"),
|
249 |
"audio_files": dl_manager.iter_archive(archive_path["offline"]),
|
250 |
"transcription": archive_path["offline_transcription"],
|
251 |
"s_type": "offline"
|
@@ -256,7 +230,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
256 |
datasets.SplitGenerator(
|
257 |
name="online",
|
258 |
gen_kwargs={
|
259 |
-
"local_extracted_archive": local_extracted_archive.get("online"),
|
260 |
"audio_files": dl_manager.iter_archive(archive_path["online"]),
|
261 |
"transcription": archive_path["online_transcription"],
|
262 |
"s_type": "online"
|
@@ -280,7 +253,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
280 |
datasets.SplitGenerator(
|
281 |
name="online",
|
282 |
gen_kwargs={
|
283 |
-
"local_extracted_archive": local_extracted_archive.get("online"),
|
284 |
"audio_files": dl_manager.iter_archive(archive_path["online"]),
|
285 |
"transcription": archive_path["online_transcription"],
|
286 |
"s_type": "online"
|
@@ -293,7 +265,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
293 |
datasets.SplitGenerator(
|
294 |
name="offline",
|
295 |
gen_kwargs={
|
296 |
-
"local_extracted_archive": local_extracted_archive.get("offline"),
|
297 |
"audio_files": dl_manager.iter_archive(archive_path["offline"]),
|
298 |
"transcription": archive_path["offline_transcription"],
|
299 |
"s_type": "offline"
|
@@ -304,7 +275,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
304 |
datasets.SplitGenerator(
|
305 |
name="online",
|
306 |
gen_kwargs={
|
307 |
-
"local_extracted_archive": local_extracted_archive.get("online"),
|
308 |
"audio_files": dl_manager.iter_archive(archive_path["online"]),
|
309 |
"transcription": archive_path["online_transcription"],
|
310 |
"s_type": "online"
|
@@ -317,7 +287,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
317 |
datasets.SplitGenerator(
|
318 |
name="offline",
|
319 |
gen_kwargs={
|
320 |
-
"local_extracted_archive": local_extracted_archive.get("offline"),
|
321 |
"audio_files": dl_manager.iter_archive(archive_path["offline"]),
|
322 |
"transcription": archive_path["offline_transcription"],
|
323 |
"s_type": "offline"
|
@@ -328,7 +297,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
328 |
datasets.SplitGenerator(
|
329 |
name="online",
|
330 |
gen_kwargs={
|
331 |
-
"local_extracted_archive": local_extracted_archive.get("online"),
|
332 |
"audio_files": dl_manager.iter_archive(archive_path["online"]),
|
333 |
"transcription": archive_path["online_transcription"],
|
334 |
"s_type": "online"
|
@@ -341,7 +309,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
341 |
datasets.SplitGenerator(
|
342 |
name="de.MCV.offline",
|
343 |
gen_kwargs={
|
344 |
-
"local_extracted_archive": local_extracted_archive.get("de.MCV.offline"),
|
345 |
"audio_files": dl_manager.iter_archive(archive_path["de.MCV.offline"]),
|
346 |
"transcription": archive_path["de.MCV.offline_transcription"],
|
347 |
"s_type": "offline"
|
@@ -350,7 +317,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
350 |
datasets.SplitGenerator(
|
351 |
name="en.LS-clean.offline",
|
352 |
gen_kwargs={
|
353 |
-
"local_extracted_archive": local_extracted_archive.get("en.LS-clean.offline"),
|
354 |
"audio_files": dl_manager.iter_archive(archive_path["en.LS-clean.offline"]),
|
355 |
"transcription": archive_path["en.LS-clean.offline_transcription"],
|
356 |
"s_type": "offline"
|
@@ -359,7 +325,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
359 |
datasets.SplitGenerator(
|
360 |
name="en.LS-other.offline",
|
361 |
gen_kwargs={
|
362 |
-
"local_extracted_archive": local_extracted_archive.get("en.LS-other.offline"),
|
363 |
"audio_files": dl_manager.iter_archive(archive_path["en.LS-other.offline"]),
|
364 |
"transcription": archive_path["en.LS-other.offline_transcription"],
|
365 |
"s_type": "offline"
|
@@ -368,7 +333,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
368 |
datasets.SplitGenerator(
|
369 |
name="en.MCV.offline",
|
370 |
gen_kwargs={
|
371 |
-
"local_extracted_archive": local_extracted_archive.get("en.MCV.offline"),
|
372 |
"audio_files": dl_manager.iter_archive(archive_path["en.MCV.offline"]),
|
373 |
"transcription": archive_path["en.MCV.offline_transcription"],
|
374 |
"s_type": "offline"
|
@@ -377,7 +341,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
377 |
datasets.SplitGenerator(
|
378 |
name="es.MCV.offline",
|
379 |
gen_kwargs={
|
380 |
-
"local_extracted_archive": local_extracted_archive.get("es.MCV.offline"),
|
381 |
"audio_files": dl_manager.iter_archive(archive_path["es.MCV.offline"]),
|
382 |
"transcription": archive_path["es.MCV.offline_transcription"],
|
383 |
"s_type": "offline"
|
@@ -386,7 +349,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
386 |
datasets.SplitGenerator(
|
387 |
name="fr.MCV.offline",
|
388 |
gen_kwargs={
|
389 |
-
"local_extracted_archive": local_extracted_archive.get("fr.MCV.offline"),
|
390 |
"audio_files": dl_manager.iter_archive(archive_path["fr.MCV.offline"]),
|
391 |
"transcription": archive_path["fr.MCV.offline_transcription"],
|
392 |
"s_type": "offline"
|
@@ -395,7 +357,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
395 |
datasets.SplitGenerator(
|
396 |
name="it.MCV.offline",
|
397 |
gen_kwargs={
|
398 |
-
"local_extracted_archive": local_extracted_archive.get("it.MCV.offline"),
|
399 |
"audio_files": dl_manager.iter_archive(archive_path["it.MCV.offline"]),
|
400 |
"transcription": archive_path["it.MCV.offline_transcription"],
|
401 |
"s_type": "offline"
|
@@ -406,8 +367,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
406 |
datasets.SplitGenerator(
|
407 |
name="de.MCV.online",
|
408 |
gen_kwargs={
|
409 |
-
"local_extracted_archive": local_extracted_archive.get("de.MCV.online"),
|
410 |
-
"audio_files": dl_manager.iter_archive(archive_path["de.MCV.online"]),
|
411 |
"transcription": archive_path["de.MCV.offline_transconline"],
|
412 |
"s_type": "online"
|
413 |
}
|
@@ -415,7 +374,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
415 |
datasets.SplitGenerator(
|
416 |
name="en.LS-clean.online",
|
417 |
gen_kwargs={
|
418 |
-
"local_extracted_archive": local_extracted_archive.get("en.LS-clean.online"),
|
419 |
"audio_files": dl_manager.iter_archive(archive_path["en.LS-clean.online"]),
|
420 |
"transcription": archive_path["en.LS-clean.online_transcription"],
|
421 |
"s_type": "online"
|
@@ -424,7 +382,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
424 |
datasets.SplitGenerator(
|
425 |
name="en.LS-other.online",
|
426 |
gen_kwargs={
|
427 |
-
"local_extracted_archive": local_extracted_archive.get("en.LS-other.online"),
|
428 |
"audio_files": dl_manager.iter_archive(archive_path["en.LS-other.online"]),
|
429 |
"transcription": archive_path["en.LS-other.online_transcription"],
|
430 |
"s_type": "online"
|
@@ -433,7 +390,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
433 |
datasets.SplitGenerator(
|
434 |
name="en.MCV.online",
|
435 |
gen_kwargs={
|
436 |
-
"local_extracted_archive": local_extracted_archive.get("en.MCV.online"),
|
437 |
"audio_files": dl_manager.iter_archive(archive_path["en.MCV.online"]),
|
438 |
"transcription": archive_path["en.MCV.online_transcription"],
|
439 |
"s_type": "online"
|
@@ -442,7 +398,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
442 |
datasets.SplitGenerator(
|
443 |
name="es.MCV.online",
|
444 |
gen_kwargs={
|
445 |
-
"local_extracted_archive": local_extracted_archive.get("es.MCV.online"),
|
446 |
"audio_files": dl_manager.iter_archive(archive_path["es.MCV.online"]),
|
447 |
"transcription": archive_path["es.MCV.online_transcription"],
|
448 |
"s_type": "online"
|
@@ -451,7 +406,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
451 |
datasets.SplitGenerator(
|
452 |
name="fr.MCV.online",
|
453 |
gen_kwargs={
|
454 |
-
"local_extracted_archive": local_extracted_archive.get("fr.MCV.online"),
|
455 |
"audio_files": dl_manager.iter_archive(archive_path["fr.MCV.online"]),
|
456 |
"transcription": archive_path["fr.MCV.online_transcription"],
|
457 |
"s_type": "online"
|
@@ -460,7 +414,6 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
460 |
datasets.SplitGenerator(
|
461 |
name="it.MCV.online",
|
462 |
gen_kwargs={
|
463 |
-
"local_extracted_archive": local_extracted_archive.get("it.MCV.online"),
|
464 |
"audio_files": dl_manager.iter_archive(archive_path["it.MCV.online"]),
|
465 |
"transcription": archive_path["it.MCV.online_transcription"],
|
466 |
"s_type": "online"
|
@@ -470,29 +423,20 @@ class Mocks(datasets.GeneratorBasedBuilder):
|
|
470 |
|
471 |
return online_split + offline_split
|
472 |
|
473 |
-
def _generate_examples(self,
|
474 |
"""Lorem ipsum."""
|
475 |
metadata = {}
|
476 |
-
trans_col_name = "keyword_transcription"
|
477 |
-
|
478 |
-
if s_type == "online":
|
479 |
-
trans_col_name = "adversary_keyword_transcription"
|
480 |
-
logger.info(transcription)
|
481 |
with open(transcription, encoding="utf-8") as f:
|
482 |
-
|
483 |
for row in f:
|
484 |
-
|
485 |
-
|
486 |
-
audio_id =
|
487 |
-
keyword = r[1]
|
488 |
-
metadata[audio_id] = {"audio_id": audio_id,
|
489 |
-
trans_col_name: keyword}
|
490 |
|
491 |
-
inside_clips_dir = True
|
492 |
id_ = 0
|
493 |
for path, f in audio_files:
|
494 |
_, audio_name = os.path.split(path)
|
495 |
if audio_name in metadata:
|
496 |
audio = {"bytes": f.read()}
|
497 |
-
yield id_, {**metadata[
|
498 |
id_ +=1
|
|
|
18 |
|
19 |
import csv
|
20 |
import os
|
|
|
21 |
|
22 |
import datasets
|
23 |
+
|
24 |
+
|
25 |
+
logger = datasets.logging.get_logger(__name__)
|
26 |
|
27 |
|
28 |
_CITATION = """\
|
|
|
41 |
|
42 |
|
43 |
_BASE_URL = "https://huggingface.co/datasets/voiceintelligenceresearch/MOCKS/tree/main"
|
|
|
|
|
44 |
_DL_URLS = {
|
45 |
"de.MCV": {
|
46 |
+
"offline": "de/MCV/test/offline/data.tar.gz",
|
47 |
+
"online": "de/MCV/test/online/data.tar.gz",
|
48 |
+
"offline_transcription" : "de/MCV/test/data_offline_transcription.tsv",
|
49 |
+
"online_transcription" : "de/MCV/test/data_online_transcription.tsv",
|
50 |
},
|
51 |
"en.LS-clean": {
|
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
|