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AVTime public code release

This directory is a self-contained, path-sanitized copy of the current AVTime data, training, and benchmark code. It contains code and frozen split IDs only; videos, annotations, model weights, generated predictions, and credentials are not bundled.

Mirrors: Hugging Face (public gated access) and GitHub (public source mirror).

Part Entry points Output
Data data/split_avtime_50k.py, data/caption_pipeline/ AVTime-50K split and merged dense captions
Training training/sft/, training/bitsc/ SFT actor and pure BiTSC GRPO checkpoints
Benchmark benchmark/run_avtime_bench.sh canonical target predictions, official merge, Qwen3.6-27B judgments, 3x2 scores

Data

The default splitter reproduces the frozen 300-video zero-shot AVTime-Bench slice from the 49,977-row AVTime corpus, yielding 49,677 training rows. See data/README.md for the split and caption pipeline.

Training

The actor learns one-round percentage-timestamp event captions. The GRPO dataset and ORM are pure BiTSC: time-to-event plus event-to-time only. The release contains no SC/TVG data generator or task-specific reward branch. See training/README.md.

AVTime-Bench

The default entry point follows the current HQ300 protocol: historical LongVALE timestamp-caption prompting, deterministic official adjacent-caption merge, and then AVTime scoring. Qwen3.6-27B is configured as a caption-only judge/selector, while deterministic code owns every temporal calculation. A direct structured-JSON inference variant is retained separately. See benchmark/README.md.

Validate the code-only package

python3 -m pip install -r requirements-dev.txt
python3 -m pytest -q
python3 scripts/check_release.py

GPU execution additionally requires the matching PyTorch, vLLM, Qwen-Omni utilities, and Megatron-SWIFT stacks. Those fast-moving packages should be installed for the exact checkpoint/GPU platform rather than from an untested universal lockfile.

Before publishing, complete RELEASE_CHECKLIST.md, especially dataset/weight access, third-party license review, and the 27B judge rerun. Repository-level provenance is recorded in PROVENANCE.md.

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