File size: 4,009 Bytes
a9f33a0 8b989a6 a9f33a0 04044fe 87ff756 04044fe 019b223 e959c01 04044fe a9f33a0 04044fe a9f33a0 04044fe 8f75672 04044fe a9f33a0 04044fe a9f33a0 04044fe a9f33a0 04044fe a9f33a0 04044fe a9f33a0 04044fe a9f33a0 04044fe a9f33a0 04044fe a9f33a0 04044fe a9f33a0 04044fe | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 | ---
license: other
pretty_name: TRACE v1.1.0
task_categories:
- visual-question-answering
- video-text-to-text
tags:
- video
- streaming-video
- temporal-reasoning
- benchmark
language:
- en
- zh
configs:
- config_name: qa
data_files:
- split: train
path: data/releases/v1.1.0/qa.jsonl
- config_name: proactive
data_files:
- split: train
path: data/releases/v1.1.0/proactive.jsonl
---
<div align="center">
<h1 style="font-size: 3.5rem; line-height: 1.1; letter-spacing: 0.08em; margin-bottom: 0.35em;"><strong>TRACE</strong></h1>
<p><strong>Temporal Audit and Condition-aware Evaluation of Streaming Video Understanding</strong></p>
<p>Timestamped video QA and proactive-response annotations for evaluating what a model knows, when it knows it, and how it responds.</p>
<p>
<a href="https://github.com/om-ai-lab/trace-bench/tree/main"><img src="https://img.shields.io/badge/GitHub-TRACE-181717?style=for-the-badge&logo=github" alt="TRACE GitHub repository"></a>
<a href="https://arxiv.org/abs/2609.30670"><img src="https://img.shields.io/badge/arXiv-paper-6d28d9?style=for-the-badge&logo=arxiv&logoColor=white" alt="TRACE paper on arXiv"></a>
</p>
</div>
## How TRACE works
<p align="center">
<img src="https://huggingface.co/datasets/omlab/trace-bench/resolve/main/assets/trace-evaluation-design.png" alt="TRACE evaluation design from causal video input through the evaluation core, model adapter, model or system, and scoring" width="100%">
</p>
TRACE separates causal video delivery, model interaction, and scoring. The same
public contract makes QA and Proactive Response results auditable across models:
- **QA:** answer a question using only the video evidence available when it arrives.
- **Proactive Response:** produce the requested response inside the annotated event or state window.
- **Traceability:** retain source identities, release hashes, temporal annotations, and validation artifacts.
## Release at a glance
| Population | Records | Windows |
| --- | ---: | ---: |
| QA | 833 | — |
| Proactive Response | 415 | 1,338 |
| Proactive standard subset | 407 | 1,270 |
| Proactive sampling-stress subset | 8 | 68 |
| Tiny setup subset | 9 QA + 9 Proactive | — |
This repository contains the frozen `v1.1.0` annotation snapshot. It does not
include videos or model weights. `video_path` values are relative provenance
identifiers; users must obtain permitted source videos from their upstream
providers.
## Files
- [`data/releases/v1.1.0/qa.jsonl`](data/releases/v1.1.0/qa.jsonl): canonical QA records.
- [`data/releases/v1.1.0/proactive.jsonl`](data/releases/v1.1.0/proactive.jsonl): canonical Proactive records and response windows.
- [`data/releases/v1.1.0/manifest.json`](data/releases/v1.1.0/manifest.json): release identity, counts, and SHA-256 hashes.
- [`data/releases/README.md`](data/releases/README.md): complete file inventory and field reference.
- [`docs/dataset-card.md`](docs/dataset-card.md): populations, review coverage, and limitations.
The release also includes tiny and Proactive subset definitions, review change
and exclusion ledgers, a review summary, and a validation report. Keep these
sidecar files together when verifying the manifest.
## Data terms and limitations
This dataset contains public ground truth for evaluation, not model input.
Timestamps use the original video time coordinate and intervals are half-open.
Review coverage and known limitations are recorded in the release artifacts.
Please read [`DATA_TERMS.md`](DATA_TERMS.md) and
[`THIRD_PARTY_NOTICES.md`](THIRD_PARTY_NOTICES.md) before use. TRACE-owned
additions are separately described there; the MIT code license does not
relicense upstream data or videos. Upstream redistribution permissions must be
resolved before making this dataset public.
## Citation
See [`CITATION.cff`](CITATION.cff) for the TRACE citation and upstream
attribution requirements. When reporting results, include the data release,
protocol, and scorer versions used.
|