HelixBench

A benchmark for audio-video generation and viewpoint-aligned spatial sound.

HelixBench contains 1,015 fixed test cases and evaluates generated videos with six metrics. Each case provides a first frame and one audio-video caption (caption_av). See the HelixWorld paper for the benchmark motivation and results.

What's included

File	Contents
data/test.zip	1,015 first-frame images and their metadata
metadata.jsonl	Sample IDs and AV captions in a directly readable file
evaluation.zip	Evaluation code and frozen reference features

The release contains AV captions only. Original and generated videos are not bundled; provide your model's generated MP4 for each sample ID.

Metrics

Metric	Cases	Measures
KL ↓	1,015	Audio distribution similarity using PaSST
FAD ↓	1,015	Audio quality using VGGish features
DeSync (s) ↓	165 event cases	Audio-video synchronization
ImageBind ↑	1,015	Video-audio alignment
CLAP ↑	1,015	Generated audio against caption_av
Spatial ↑	150 perspective cases	Whether spatial sound follows viewpoint motion

Spatial uses the v3 all-150 protocol: invalid clips score −100, eligible center-only clips score 0, and the remaining clips use signed lateral-frame correctness. The six metrics are reported separately; there is no combined score.

Quick start

On Linux with a compatible NVIDIA GPU, install python3, git, curl, unzip, ffmpeg, and ffprobe, then run:

mkdir -p helixbench && cd helixbench
curl -fL --retry 3 -o evaluation.zip \
  https://huggingface.co/datasets/NoizAI/Helixbench/resolve/main/evaluation.zip
unzip -q evaluation.zip

R="$PWD/runtime"
bash evaluation/install.sh "$R"
"$R/env/bin/python" evaluation/download_weights.py "$R"
"$R/env/bin/helixbench" verify-package

Prepare a generated.jsonl containing exactly one MP4 per sample ID. Each row needs sample_id, an absolute path, and the file's sha256. See the input format for the media requirements.

"$R/env/bin/helixbench" prepare \
  --generated /absolute/generated.jsonl \
  --model-id YOUR_MODEL \
  --run-dir /absolute/run

"$R/env/bin/helixbench" run \
  --run-dir /absolute/run --metric all \
  --deps-root "$R/deps" \
  --weights-root "$R/weights" \
  --torch-home "$R/torch"

"$R/env/bin/helixbench" aggregate --run-dir /absolute/run
"$R/env/bin/helixbench" verify --run-dir /absolute/run

The installer pins the third-party source revisions and checks downloaded weights. See dependencies and provenance for exact versions and hashes. The full workflow has been tested on one NVIDIA A10G.

Citation

If you use HelixBench, please cite HelixWorld: A Real-time Interactive Audio-Visual World Model.