| license: apache-2.0 | |
| # SpoofCeleb Dataset | |
| Please use the download scripts from https://github.com/XIAOYixuan/AUDDT/tree/yixuan-dev | |
| to download and process the dataset. | |
| ``` | |
| chmod +x download/get_spoofceleb.sh | |
| ./download/get_spoofceleb.sh | |
| ``` | |
| ## Label Distribution | |
| **train** (2,540,421 samples): | |
| - spoof: 2,309,473 samples | |
| - bonafide: 230,948 samples | |
| **development** (55,741 samples): | |
| - spoof: 47,778 samples | |
| - bonafide: 7,963 samples | |
| **evaluation** (91,130 samples): | |
| - spoof: 82,017 samples | |
| - bonafide: 9,113 samples | |
| ## Data Attributes | |
| ``` | |
| ID path label dataset_name | |
| 0 1 spoofceleb/flac/train/a00/id11178/LAHad7VLKXw-00007-001.flac bonafide SpoofCeleb | |
| 1 2 spoofceleb/flac/train/a00/id10580/VR8MUnB_MTI-00007-003.flac bonafide SpoofCeleb | |
| 2 3 spoofceleb/flac/train/a00/id10105/vJSc3FB4US0-00067-002.flac bonafide SpoofCeleb | |
| ``` | |
| ## How to Import | |
| ```python | |
| import pandas as pd | |
| df = pd.read_parquet("train.parquet") | |
| print(df.head()) | |
| ``` | |