Datasets:
Download scripts/README.md from meetween/mumospee_v3: direct link, hf CLI and curl.
- Browser
- Download file 2.54 kB
-
https://huggingface.co/datasets/meetween/mumospee_v3/resolve/main/scripts/README.md
- Command line
-
hf download hf://datasets/meetween/mumospee_v3/scripts/README.md
-
curl -L -o README.md https://huggingface.co/datasets/meetween/mumospee_v3/resolve/main/scripts/README.md
Scripts
make_clips.py: cut the clips from source videos
The dataset contains no audio. make_clips.py cuts the clips of the dataset from
source videos that you have downloaded yourself, with the same processing that produced
the dataset:
- decode the audio track to 16 kHz mono 16-bit PCM with ffmpeg
(
ffmpeg -vn -ac 1 -ar 16000 -c:a pcm_s16le); - take the samples from
int(start * 16000)toint(end * 16000); - write them as FLAC to
<out-dir>/<audio_input_path>.
The script does not download videos. The source video of a row is
https://www.youtube.com/watch?v=<video_id>.
Requirements
Python 3.9 or later with pyarrow and soundfile, and the ffmpeg program:
pip install pyarrow soundfile
Usage
Get the dataset rows, for example the Dutch rows of the asr split (files data/asr/nl/):
huggingface-cli download meetween/mumospee_v3 --repo-type dataset \
--include "data/asr/nl/*" --local-dir mumospee
Cut the clips of one video:
python make_clips.py --rows mumospee/data/asr/nl \
--video downloads/-H9G_NHn4Xc.mp4 --out-dir clips
or of all videos in a folder:
python make_clips.py --rows mumospee/data/asr/nl --videos-dir downloads --out-dir clips
The video ID is read from the file name: <video_id>.<ext>, <video_id>_<anything>.<ext>
or <anything>[<video_id>].<ext>; otherwise pass --video-id. --rows also accepts a
CSV or JSON Lines file with the columns video_id, clip_id, start, end and
audio_input_path.
Output
clips/
├── audio/<lang>/<video_id>/<clip_id>.flac one file per clip, at the row's audio_input_path
└── make_clips_report.csv video_id, clip_id, status (written / skipped / failed), note
The audio of a row is clips/<audio_input_path>. Clips that already exist are skipped,
so an interrupted run can be repeated; --overwrite rewrites them.
Notes
- The clips match the clips the dataset was built from when the downloaded audio is the same as the original. In a test with the original source files, 142 of 144 clips were identical sample by sample, and the other 2 differed by at most one unit in single samples (a rounding difference between ffmpeg versions).
- A video downloaded at a different time or in another format can differ slightly from the original, and a video may no longer be available.
- If the downloaded audio is shorter than a clip's
end, the clip is cut at the end of the audio, and the report notes this.