Datasets:
Fix: exclude seedtts_testset (real reference prompts mislabeled spoof); 4548->3948
Browse files- README.md +14 -9
- build_parquet.py +11 -3
- data/labels.parquet +2 -2
- data/test-00000-of-00002.parquet +2 -2
- data/test-00001-of-00002.parquet +2 -2
- eval.yaml +6 -5
README.md
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@@ -28,11 +28,11 @@ synthetic / deepfake voice detection.
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## Overview
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SONAR is a
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vs. **spoof** (AI-synthesized speech). The spoof side aggregates clips from **
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speech-synthesis systems**, deliberately spanning architectures and providers so that a
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detector cannot win by memorising one generator's artifacts. The bonafide side is
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https://github.com/Jessegator/SONAR.
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| Side | Source | n |
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| bonafide | LibriTTS clean-test | 2274 |
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| spoof | OpenAI TTS | 600 |
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| spoof | xTTS | 600 |
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| spoof | Seed-TTS (en 300 + zh 300) | 600 |
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| spoof | FlashSpeech | 118 |
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| spoof | VoiceBox | 104 |
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| spoof | AudioGen | 100 |
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@@ -48,6 +47,12 @@ https://github.com/Jessegator/SONAR.
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| spoof | NaturalSpeech 3 | 32 |
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| spoof | PromptTTS 2 | 25 |
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## License & redistribution
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This **packaging** is released under the **Creative Commons Attribution-NonCommercial 4.0
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| Stat | Value |
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|------|-------|
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| Total trials |
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| Bonafide | 2274 |
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| Spoof |
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## Source provenance
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- Paper: https://arxiv.org/abs/2410.04324
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- Code / data: https://github.com/Jessegator/SONAR
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- Labels derived from the source directory layout (`real_samples/` = bonafide; the
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synthesis-system directories = spoof).
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## Evaluation
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## Overview
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SONAR is a binary-classification benchmark: **bonafide** (genuine human speech)
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vs. **spoof** (AI-synthesized speech). The spoof side aggregates clips from **eight modern
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speech-synthesis systems**, deliberately spanning architectures and providers so that a
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detector cannot win by memorising one generator's artifacts. The bonafide side is real
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clips sampled from the **LibriTTS** clean-test set. Original code and data:
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https://github.com/Jessegator/SONAR.
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| Side | Source | n |
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| bonafide | LibriTTS clean-test | 2274 |
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| spoof | OpenAI TTS | 600 |
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| spoof | xTTS | 600 |
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| spoof | FlashSpeech | 118 |
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| spoof | VoiceBox | 104 |
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| spoof | AudioGen | 100 |
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| spoof | NaturalSpeech 3 | 32 |
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| spoof | PromptTTS 2 | 25 |
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> **Seed-TTS excluded (2026-06-07).** The upstream `seedtts_testset/` directory holds the
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> SeedTTS *reference prompts* — real Common Voice audio (`common_voice_en_<prompt>-<target>.wav`),
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> not synthesized speech (the actual SeedTTS-generated outputs are not redistributed on disk).
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> Labeling those 600 real clips as spoof was incorrect, so they are dropped from this package.
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> This matches the SONAR authors' own released eval set (3948 clips).
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## License & redistribution
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This **packaging** is released under the **Creative Commons Attribution-NonCommercial 4.0
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| Stat | Value |
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|------|-------|
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| Total trials | 3948 |
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| Bonafide | 2274 |
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| Spoof | 1674 |
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## Source provenance
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- Paper: https://arxiv.org/abs/2410.04324
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- Code / data: https://github.com/Jessegator/SONAR
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- Labels derived from the source directory layout (`real_samples/` = bonafide; the eight
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synthesis-system directories = spoof; `seedtts_testset/` excluded — real reference prompts).
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## Evaluation
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build_parquet.py
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REPO_ROOT = Path(__file__).resolve().parent
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SRC_ROOT = Path("/home/kirill/mnt/users_4tb/datasets/sonar")
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REAL_DIR = "real_samples" # bonafide; every other top-level dir is spoof
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PARQUET_DIR = REPO_ROOT / "data"
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STAGING_DIR = REPO_ROOT / "_clean_flac"
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NUM_SHARDS = 2
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EXPECTED_ROWS =
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EXPECTED_BONAFIDE = 2274
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EXPECTED_SPOOF =
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TARGET_SR = 16000
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PROBE_SAMPLE =
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WORKERS = int(os.environ.get("SONAR_BUILD_WORKERS", os.cpu_count() or 4))
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FEATURES = Features(
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for path in SRC_ROOT.rglob("*.wav"):
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relpath = path.relative_to(SRC_ROOT).as_posix()
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system = relpath.split("/", 1)[0]
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label = "bonafide" if system == REAL_DIR else "spoof"
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language = "zh" if "/zh/" in f"/{relpath}" else "en"
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records.append(
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REPO_ROOT = Path(__file__).resolve().parent
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SRC_ROOT = Path("/home/kirill/mnt/users_4tb/datasets/sonar")
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REAL_DIR = "real_samples" # bonafide; every other top-level dir is spoof
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# EXCLUDED dirs: seedtts_testset holds the SeedTTS *reference prompts* (real Common
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# Voice audio, common_voice_en_<prompt>-<target>.wav), NOT synthesized speech — the
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# actual SeedTTS-generated outputs are not on disk. Labeling them spoof mislabels 600
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# real clips (Spectra-AASIST scored 99.83% bona fide; full-set EER 24.85% vs 0.48%
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# without them). Matches the SONAR authors' own 3948-file eval. (2026-06-07)
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EXCLUDE_DIRS = {"seedtts_testset"}
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PARQUET_DIR = REPO_ROOT / "data"
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STAGING_DIR = REPO_ROOT / "_clean_flac"
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NUM_SHARDS = 2
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EXPECTED_ROWS = 3948
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EXPECTED_BONAFIDE = 2274
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EXPECTED_SPOOF = 1674
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TARGET_SR = 16000
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PROBE_SAMPLE = 3948 # whole set (seedtts_testset excluded)
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WORKERS = int(os.environ.get("SONAR_BUILD_WORKERS", os.cpu_count() or 4))
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FEATURES = Features(
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for path in SRC_ROOT.rglob("*.wav"):
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relpath = path.relative_to(SRC_ROOT).as_posix()
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system = relpath.split("/", 1)[0]
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if system in EXCLUDE_DIRS:
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continue
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label = "bonafide" if system == REAL_DIR else "spoof"
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language = "zh" if "/zh/" in f"/{relpath}" else "en"
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records.append(
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data/labels.parquet
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size 28035
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data/test-00000-of-00002.parquet
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size 233448507
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data/test-00001-of-00002.parquet
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size 293936334
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eval.yaml
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name: SONAR
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description: >
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SONAR synthetic-audio detection benchmark (arXiv 2410.04324).
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classification: 2274 bonafide (LibriTTS clean-test) vs.
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from
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evaluation_framework: inspect-ai
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tasks:
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name: SONAR
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description: >
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SONAR synthetic-audio detection benchmark (arXiv 2410.04324). Binary
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classification: 2274 bonafide (LibriTTS clean-test) vs. 1674 spoof aggregated
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from eight speech-synthesis systems (OpenAI TTS, xTTS, FlashSpeech, VoiceBox,
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AudioGen, VALL-E, NaturalSpeech 3, PromptTTS 2). EER computed over all 3948
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utterances. (Seed-TTS excluded: the on-disk seedtts_testset clips are the real
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Common Voice reference prompts, not synthesized speech.)
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evaluation_framework: inspect-ai
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tasks:
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