BeelieverBzz/trace-bench
TRACE-Bench: Trustworthy Audio Cue Evaluation Benchmark TRACE-Bench is a large-scale, controlled audio benchmark for evaluating the trustworthiness of Audio Language Models (ALMs) across four dimensions: Safety, Fairness, Robustness, and Privacy. It is, to our knowledge, the first benchmark to systematically attribute trustworthiness failures to specific acoustic cue types and ALM architectural components. Overview Property Value Total audio instances… See the full description on the dataset page: https://huggingface.co/datasets/BeelieverBzz/trace-bench.
| Author / organization | BeelieverBzz |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 459 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 7 May 2026 |
| Last updated at source | 7 May 2026 |
Recent changes
- 16 Oct 2026 Description: TRACE-Bench: Trustworthy Audio Cue Evaluation Benchmark TRACE-Bench is a large-scale, controlled audio benchmark for evaluating the trustworthiness of Audio Language Models (ALMs) across four dimensions: Safety, Fairness, Robustness, and Pr → TRACE-Bench: Trustworthy Audio Cue Evaluation Benchmark TRACE-Bench is a large-scale, controlled audio benchmark for evaluating the trustworthiness of Audio Language Models (ALMs) across four dimensions: Safety, Fairness, Robustness, and Pr
Changes detected by Silytics between refreshes of the source.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.