Skip to content

Fix DuplicatedKeysError in timit_asr dataset #4424

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 3 commits into from
May 31, 2022
Merged

Fix DuplicatedKeysError in timit_asr dataset #4424

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
c5fa638
Fix DuplicatedKeysError in timit_asr dataset
albertvillanova May 31, 2022
79e80b3
Refactor
albertvillanova May 31, 2022
09ec67a
Update dataset card
albertvillanova May 31, 2022
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion datasets/timit_asr/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -170,7 +170,7 @@ A typical data point comprises the path to the audio file, usually called `file`

- speaker_id: Unique id of the speaker. The same speaker id can be found for multiple data samples.

- id: Unique id of the data sample. Contains the <SENTENCE_TYPE><SENTENCE_NUMBER>.
- id: ID of the data sample. Contains the <SENTENCE_TYPE><SENTENCE_NUMBER>.


### Data Splits
Expand Down
4 changes: 2 additions & 2 deletions datasets/timit_asr/timit_asr.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -129,7 +129,7 @@ def _split_generators(self, dl_manager):
def _generate_examples(self, split, data_dir):
"""Generate examples from TIMIT archive_path based on the test/train csv information."""
# Iterating the contents of the data to extract the relevant information
for wav_path in sorted(Path(data_dir).glob(f"**/{split.upper()}/**/*.WAV")):
for key, wav_path in enumerate(sorted(Path(data_dir).glob(f"**/{split.upper()}/**/*.WAV"))):

# extract transcript
with open(wav_path.with_suffix(".TXT"), encoding="utf-8") as op:
Expand Down Expand Up @@ -174,4 +174,4 @@ def _generate_examples(self, split, data_dir):
"id": id_,
}

yield id_, example
yield key, example