PyAra — Russian Audio Deepfake Detection

Benchmark-ready packaging of PyAra, a Russian-language audio anti-spoofing dataset (source: https://www.kaggle.com/datasets/alep079/pyara).

Overview

Binary classification: bonafide (genuine Russian human recordings) vs. spoof (synthetic / converted speech). The spoof side is produced by five generation algorithms (alg_1 … alg_5). Label is the top-level source directory (Real/ → bonafide, Fake/ → spoof), per the fake column of final_dataset.tsv.

License & redistribution

Released under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. Redistribution and adaptation are permitted for non-commercial use with attribution and ShareAlike; this packaging is itself CC BY-NC-SA 4.0. See LICENSE.txt. Audio is the original 16 kHz mono WAV, embedded bit-exactly (no re-encode — a full decode probe of all clips passed cleanly).

Schema

Column	Type	Description
path	string	source-relative path, e.g. Fake/alg_1_0.wav, unique
audio	Audio(16000)	16 kHz mono WAV
label	ClassLabel	"bonafide" (0) / "spoof" (1)
notes	string	JSON: utterance_id, algorithm, gender, age, length

notes example:

{"utterance_id": "alg_1_0", "algorithm": "alg_1", "gender": "male", "age": "twenties", "length": "5.55"}

utterance_id is the source filename stem (real_12713, alg_1_0) — unique across the whole set.

Quick Start

from datasets import load_dataset

ds = load_dataset("SpeechAntiSpoofingBenchmarks/PyAra", split="test")
print(ds[0])

Stats

Stat	Value
Total trials	201,778
Bonafide (real)	73,583
Spoof	128,195
Spoof algorithms	alg_1 (46,505), alg_2 (10,065), alg_3 (11,165), alg_4 (25,412), alg_5 (35,048)
Language	Russian
Sample rate	16 kHz mono

Source provenance

• Dataset: PyAra, https://www.kaggle.com/datasets/alep079/pyara
• No associated academic paper.

Evaluation

For evaluation instructions and submission format, see submissions/README.md.

Citation

PyAra — Russian Audio Deepfake Detection dataset.
https://www.kaggle.com/datasets/alep079/pyara

Maintainer

Maintained by Kirill Borodin (SpeechAntiSpoofingBenchmarks).

• Email: [email protected] (deprecated — use [email protected])
• Telegram: @korallll_ai