sanchit-gandhi HF staff commited on
Commit
326b922
1 Parent(s): 89d79c0

file ids - transcriptions

Browse files
Files changed (1) hide show
  1. peoples_speech-clean.py +8 -11
peoples_speech-clean.py CHANGED
@@ -11,7 +11,7 @@
11
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12
  # See the License for the specific language governing permissions and
13
  # limitations under the License.
14
-
15
  import json
16
  import os
17
 
@@ -72,9 +72,9 @@ _N_SHARDS_URL = _BASE_URL + "n_shards.json"
72
  # relative path to metadata inside dataset's repo
73
  _MANIFEST_URL = _BASE_URL + "{split}/{config}.json"
74
 
75
- _WHISPER_TRANSCRIPT_URL = "https://huggingface.co/datasets/distil-whisper/peoples_speech-clean/resolve/main/transcription_data/greedy_search/"
76
 
77
- _WHISPER_TRANSCRIPT_URLs = _WHISPER_TRANSCRIPT_URL + "/{split}-transcription.txt"
78
 
79
 
80
  class PeoplesSpeechConfig(datasets.BuilderConfig):
@@ -222,13 +222,11 @@ class PeoplesSpeech(datasets.GeneratorBasedBuilder):
222
  "duration_ms": duration
223
  }
224
 
225
- whisper_transcripts = []
226
-
227
  with open(whisper_transcript, encoding="utf-8") as f:
228
- for row in f:
229
- whisper_transcripts.append(row.rstrip("\n"))
230
-
231
- idx = 0
232
 
233
 
234
  for local_extracted_archive_path, archive in zip(local_extracted_archive_paths, archives):
@@ -244,6 +242,5 @@ class PeoplesSpeech(datasets.GeneratorBasedBuilder):
244
  "audio": {"path": path, "bytes": audio_file.read()},
245
  "text": meta[audio_filename]["text"],
246
  "duration_ms": meta[audio_filename]["duration_ms"],
247
- "whisper_transcript": whisper_transcripts[idx],
248
  }
249
- idx += 1
 
11
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12
  # See the License for the specific language governing permissions and
13
  # limitations under the License.
14
+ import csv
15
  import json
16
  import os
17
 
 
72
  # relative path to metadata inside dataset's repo
73
  _MANIFEST_URL = _BASE_URL + "{split}/{config}.json"
74
 
75
+ _WHISPER_TRANSCRIPT_URL = "https://huggingface.co/datasets/distil-whisper/whisper_transcriptions_greedy/resolve/main/peoples_speech-clean"
76
 
77
+ _WHISPER_TRANSCRIPT_URLs = _WHISPER_TRANSCRIPT_URL + "/{split}-transcription.csv"
78
 
79
 
80
  class PeoplesSpeechConfig(datasets.BuilderConfig):
 
222
  "duration_ms": duration
223
  }
224
 
225
+ whisper_transcriptions = dict()
 
226
  with open(whisper_transcript, encoding="utf-8") as f:
227
+ reader = csv.DictReader(f, delimiter=",", quoting=csv.QUOTE_NONE)
228
+ for line in tqdm(reader, desc="Reading transcriptions..."):
229
+ whisper_transcriptions[line["file_id"]] = line["whisper_transcript"]
 
230
 
231
 
232
  for local_extracted_archive_path, archive in zip(local_extracted_archive_paths, archives):
 
242
  "audio": {"path": path, "bytes": audio_file.read()},
243
  "text": meta[audio_filename]["text"],
244
  "duration_ms": meta[audio_filename]["duration_ms"],
245
+ "whisper_transcript": whisper_transcriptions.get(audio_filename, None),
246
  }