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+ ---
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+ license: cc-by-4.0
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+ language: [en]
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+ pretty_name: Codex Validation Tiny 20260531
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+ task_categories: [audio-classification]
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+ size_categories: [n<1K]
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - {split: test, path: "data/test-*.parquet"}
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+ tags:
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+ - anti-spoofing
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+ - audio-deepfake-detection
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+ - speech
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+ - benchmark
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+ - arena-ready
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+ paperswithcode_id:
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+ arxiv:
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+ - 1911.01601
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+ ---
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+
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+ # Codex Validation Tiny 20260531
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+
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+ Synthetic four-row dataset used to validate the dataset-add and Arena display workflow.
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+
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+ ## Overview
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+
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+ Contains two bonafide and two spoof one-second synthetic audio clips generated locally.
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+
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+ ## License & redistribution
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+
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+ CC-BY-4.0 for the synthetic generated audio in this validation dataset.
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+
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+ ## Schema
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+
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+ | Field | Type | Description |
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+ |---|---|---|
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+ | path | string | Stable archive-relative path, unique within dataset. |
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+ | audio | Audio(16kHz mono) | One-second generated WAV audio. |
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+ | label | ClassLabel[bonafide, spoof] | Index 0 = bonafide. |
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+ | notes | string (JSON) | Contains `utterance_id`. |
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+
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+ ## Quick Start
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+
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+ ```python
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+ from datasets import load_dataset
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+ ds = load_dataset("Slenser0/CodexValidationTiny_20260531", split="test")
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+ ```
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+
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+ ## Stats
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+
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+ | n_total | n_bonafide | n_spoof | total duration |
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+ |---|---|---|---|
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+ | 4 | 2 | 2 | 4s |
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+
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+ ## Source provenance
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+
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+ Generated by Codex as a temporary validation artifact for SpeechAntiSpoofingBenchmarks.
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+
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+ ## Evaluation
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+
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+ See `eval.yaml` and `submissions/README.md`.
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+
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+ ## Citation
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+
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+ **Original paper**: https://arxiv.org/abs/1911.01601
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+
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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, converted and replayed speech},
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+ author={Wang, Xin and Yamagishi, Junichi and Todisco, Massimiliano 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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+ }
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+ ```
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+
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+ ## Maintainer
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+
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+ Codex validation artifact; safe to delete after validation.