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marsianin500/HIR-SDD

HIR-SDD HIR-SDD (Human-annotated Inference Reasoning for Spoofing and Deepfake Detection) is a dataset of speech clips with human-written natural-language reasoning and structured spoofing cue tags. Each row links an audio clip to an explanation of why the clip was judged genuine or spoofed, together with a discrete set of perceptual reason tags. Paper: Towards Robust Speech Deepfake Detection via Human-Inspired Reasoning Dataset: marsianin500/HIR-SDD Raw annotations:… See the full description on the dataset page: https://huggingface.co/datasets/marsianin500/HIR-SDD.

Author / organizationmarsianin500
License (as declared)cc-by-nc-sa-4.0
Downloads164 (as reported by Hugging Face)
Likes1
Created25 April 2026
Last updated at source10 July 2026
audioantispoofingdeepfake-detectionspeechreasoninghuman-annotation
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