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README.md

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+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())
+```
+

development.parquet

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evaluation.parquet

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train.parquet

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