affect
Affectra-2-8B-EQ-i1-GGUFAffectNet-face-to-emotion-tfliteLlama-3.1-8B-Instruct_Flat-Affectaffect_of_removing_misalligned_examples-quant-corrected-20260830Affectra-2-8B-EQ-GGUFvit-face-affectnetaffect_of_removing_misalligned_examples-conservative_qual_removedvit-base-patch16-224-best-finetuned-on-affectnet_short
Datasets
All datasets matching “affect”ambivalent_affectgspc-affect
GSPC — affect bank (AffectBench)
Council of AI measurement bank. Measurement, not certification.
Bank. Frozen split. Live n is the matching axis on GET https://councilof.ai/api/gspc, not a Hub score. Not a certificate. Art 50 (EUR-Lex): 2 August 2026 live; marking grace 2 December 2026.
Live measurement. This bank stands behind the affect row of the live GSPC board: GET https://councilof.ai/api/gspc?axis=affect (family, kind, status and n are on that row, never typed here; the… See the full description on the dataset page: https://huggingface.co/datasets/csoai/gspc-affect.t9p3c8m1-axr4e6vocal-affect-bench
VocalAffectBench
VocalAffectBench is a test-only benchmark for evaluating whether AI audio models can identify expressed vocal emotion from raw audio.
Paper: VocalAffectBench: Evaluating Vocal Emotion Recognition in AI Audio Models
The benchmark targets the expressed emotion — what the speaker conveys through vocal tone, prosody, pace, intensity, and pauses — not inferred internal state.
Contents
280 human-recorded English WAV clips, totalling 2.32 hours.
7… See the full description on the dataset page: https://huggingface.co/datasets/besimple-ai/vocal-affect-bench.AffectNetaffectnethq
Dataset Card for "affectnethq"
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