Datasets:
Add random-baseline submission (EER 49.56%)
#1
by korallll - opened
YAML Metadata Error:Invalid content in eval.yaml.
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✖ Invalid option: expected one of "prompt_template"|"system_message"|"user_message"|"chain_of_thought"|"use_tools"|"generate"|"self_critique"|"multiple_choice"
→ at tasks[0].solvers[0].name
✖ Invalid option: expected one of "includes"|"match"|"pattern"|"answer"|"exact"|"f1"|"model_graded_qa"|"model_graded_fact"|"choice"
→ at tasks[0].scorers[0].name
submissions/random-baseline.yaml
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schema_version: 4
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system:
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name: random-baseline
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slug: random-baseline
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description: >
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Reference random baseline. Returns N(0, 1) for every utterance using a
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fixed seed (seed=0). EER ≈ 50% by construction. Used as the seeded
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smoke-test baseline for the arena (roadmap Phase 3).
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code: https://github.com/SpeechAntiSpoofingBenchmarks/speech-spoof-bench
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checkpoint: https://huggingface.co/SpeechAntiSpoofingBenchmarks/random-baseline-asas
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params_millions: 1
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paper:
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arxiv_id: "1911.01601"
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url: https://arxiv.org/abs/1911.01601
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bibtex: |
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@article{wang2020asvspoof,
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title={ASVspoof 2019: A large-scale public database of synthesized,
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converted and replayed speech},
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author={Wang, Xin and Yamagishi, Junichi and Todisco, Massimiliano and
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Delgado, H{\'e}ctor and Nautsch, Andreas and Evans, Nicholas
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and Sahidullah, Md and Vestman, Ville and Kinnunen, Tomi and
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Lee, Kong Aik and others},
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journal={Computer Speech \& Language},
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volume={64},
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pages={101114},
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year={2020},
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publisher={Elsevier}
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}
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dataset:
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id: SpeechAntiSpoofingBenchmarks/SONAR
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revision: bf65a137339acbe91f4baa702b7638fcda69aca3
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split: test
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scores:
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eer_percent: 49.56024626209323
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n_trials: 4548
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n_skipped: 0
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artifact:
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scores_url: https://huggingface.co/SpeechAntiSpoofingBenchmarks/random-baseline-asas/resolve/8af0ccc677cd89e67f6bdfd4514bc715137fc0dc/.eval_results/SpeechAntiSpoofingBenchmarks/SONAR/scores.txt
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scores_sha256: 051cc20027b196b4b8a69986d7c17017dac5f0ee2c69138198ea6cd65f70dfe7
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bench_version: speech-spoof-bench==0.3.4
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reproduction:
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reproduced_by: SpeechAntiSpoofingBenchmarks
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reproduced_at: 2026-06-07
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reproduced_bench_version: speech-spoof-bench==0.3.4
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match: scoring
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submitter:
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hf_username: SpeechAntiSpoofingBenchmarks
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contact: k.n.borodin@mtuci.ru
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submitted_at: 2026-06-07
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notes: >
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Seeded random baseline for the newly-added SONAR dataset. Random baseline has
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no associated paper of its own; the paper field cites the ASVspoof 2019 dataset
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paper as a placeholder, consistent with the other random-baseline submissions
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(same system slug). The reproduction block is left empty for the maintainer to
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fill at merge. verify-pr only routes once SONAR is ingested (manifest PR merged
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+ re-ingest), so the verify/merge half waits on the maintainer.
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