Upload folder using huggingface_hub
Browse files- EGO/anno.json +0 -0
- EGO/videos.zip +3 -0
- README.md +55 -3
- TV/anno.json +0 -0
- TV/videos.zip +3 -0
- VAD/anno.json +2807 -0
- VAD/videos.zip +3 -0
- WEB/anno.json +0 -0
- WEB/nohup.out +33 -0
- WEB/videos.zip +3 -0
- nohup.out +426 -0
EGO/anno.json
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EGO/videos.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:ed69adccef2e9c5fb718e48a3791ea16f3ebe77dab7b5e69d0a259288743a6a3
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size 38218788644
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README.md
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ProactiveBench: A Comprehensive Benchmark Evaluating Proactive Interactions in Video Large Language Models
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---
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<div align="center">
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<div style="margin: 30px 0">
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<a href="https://arxiv.org/abs/2411.03628" style="margin: 0 10px">📄 arXiv Paper</a> |
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<a href="https://github.com/yellow-binary-tree/ProactiveBench" style="margin: 0 10px"> 🖥️ Github Code </a> |
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<a href="https://huggingface.co/datasets/wangyueqian/ProactiveBench" style="margin: 0 10px">📦 Data</a>
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</div>
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</div>
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## Introduction
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ProactiveBench is the first comprehensive benchmark designed to evaluate a system's ability to engage in proactive interaction in multimodal dialogue settings.
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Unlike traditional turn-by-turn dialogue systems, in proactive intraction model need to determine when to repsond during the playback, so both response timing and response textual content are important points for evaluation.
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## Dataset Statistics
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ProactiveBench contains 4 tasks:
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1. **Proactive web-video QA** `[WEB]`: centering on general web-video understanding.
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1. **Proactive ego-centric video QA** `[EGO]`: centering on first-person-view video comprehension, particularly relevant in robotics and daily assistant applications.
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1. **Proactive TV-series video QA** `[TV]`: emphasizing dialogue and social relationship understanding with speech input, and
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1. **Proactive video anomaly detection** `[VAD]` targeting surveillance video monitoring and alerting.
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- **1377** videos from different sources
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- **1427** different qeustions, and **3510** ground truth reply turns
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- Fully proactive questions and open-ended answers ✅
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## Data Format
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Each test example in `{dataset}/anno.json` has the following format:
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```json
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{
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"question_id": "OSfMU69X3C4.7.mp4", // unique identifier for this test example
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"video": "OSfMU69X3C4.7.mp4", // video file name in `video` folder
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"conversation": [ // model input
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{"role": "user", "time": 0, "content": "What are the people doing in the office?"}
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],
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"answer": [ // expected model output
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{ // model are expected to reply with the content in the reply timespan
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"role": "assistant", "content": "People are working at workstations.",
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"reply_timespan": [0.0, 9.88]
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},
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{ ... }
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]
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}
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```
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## Citation
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```bibtex
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```
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TV/anno.json
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TV/videos.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:1aabdd5e825d157e0f8cf7add82ecc330b5440d44aca05ba1e07b6f2ebcb3d92
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size 1898265812
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VAD/anno.json
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| 1 |
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[
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| 2 |
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| 3 |
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| 4 |
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| 6 |
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{
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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|
| 13 |
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{
|
| 14 |
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|
| 15 |
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"content": "The machine exploded, emitting a large amount of sparks and smoke.",
|
| 16 |
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|
| 17 |
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74.33,
|
| 18 |
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80.67
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| 19 |
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| 20 |
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| 21 |
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74.33,
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| 22 |
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| 23 |
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| 24 |
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|
| 25 |
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}
|
| 26 |
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|
| 27 |
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"duration": 119.8
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| 28 |
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},
|
| 29 |
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{
|
| 30 |
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"video": "Arrest030_x264.mp4",
|
| 31 |
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"question_id": "Arrest030_x264.mp4",
|
| 32 |
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"conversation": [
|
| 33 |
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{
|
| 34 |
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"role": "user",
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| 35 |
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"time": 0,
|
| 36 |
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"content": "What suspicious or harmful activities, including unlawful, criminal behaviors or destructive accidents, are happening in the video?"
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| 37 |
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| 38 |
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|
| 39 |
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|
| 40 |
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{
|
| 41 |
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|
| 42 |
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"content": "Two armed police officers broke into the door.",
|
| 43 |
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| 44 |
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184.5,
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| 45 |
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240.0
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| 46 |
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| 47 |
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| 48 |
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184.5,
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| 49 |
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241.0
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| 50 |
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| 51 |
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| 52 |
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|
| 53 |
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| 54 |
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| 55 |
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},
|
| 56 |
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{
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| 57 |
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"video": "Explosion017_x264.mp4",
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| 58 |
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"question_id": "Explosion017_x264.mp4",
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| 59 |
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|
| 60 |
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{
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| 61 |
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"role": "user",
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| 62 |
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"time": 0,
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| 63 |
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"content": "What suspicious or harmful activities, including unlawful, criminal behaviors or destructive accidents, are happening in the video?"
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| 64 |
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}
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| 65 |
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| 66 |
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|
| 67 |
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{
|
| 68 |
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|
| 69 |
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"content": "A fire started on a motorbike in a gas station.",
|
| 70 |
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| 71 |
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33.0,
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| 72 |
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48.0
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| 73 |
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| 74 |
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|
| 75 |
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33.0,
|
| 76 |
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49.0
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| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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"duration": 54.766666666666666
|
| 82 |
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},
|
| 83 |
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{
|
| 84 |
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"video": "Explosion036_x264.mp4",
|
| 85 |
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"question_id": "Explosion036_x264.mp4",
|
| 86 |
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|
| 87 |
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{
|
| 88 |
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"role": "user",
|
| 89 |
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"time": 0,
|
| 90 |
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"content": "What suspicious or harmful activities, including unlawful, criminal behaviors or destructive accidents, are happening in the video?"
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| 91 |
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}
|
| 92 |
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|
| 93 |
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|
| 94 |
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{
|
| 95 |
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|
| 96 |
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"content": "An explosion occurred at the manhole cover next to the wall, and white smoke filled the entire site.",
|
| 97 |
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65.0,
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| 99 |
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| 106 |
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|
| 107 |
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|
| 108 |
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| 109 |
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|
| 110 |
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{
|
| 111 |
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"video": "Burglary035_x264.mp4",
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| 112 |
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| 113 |
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|
| 114 |
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{
|
| 115 |
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"role": "user",
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| 116 |
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"time": 0,
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| 117 |
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"content": "What suspicious or harmful activities, including unlawful, criminal behaviors or destructive accidents, are happening in the video?"
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| 118 |
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}
|
| 119 |
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| 120 |
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|
| 121 |
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{
|
| 122 |
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|
| 123 |
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"content": "A man broke the window and opened the door for another man to enter the house.",
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| 124 |
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| 125 |
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0.03,
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| 126 |
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58.0
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| 127 |
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| 128 |
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| 129 |
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| 130 |
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| 131 |
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|
| 132 |
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|
| 133 |
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}
|
| 134 |
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],
|
| 135 |
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"duration": 135.0
|
| 136 |
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},
|
| 137 |
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{
|
| 138 |
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"video": "RoadAccidents132_x264.mp4",
|
| 139 |
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"question_id": "RoadAccidents132_x264.mp4",
|
| 140 |
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|
| 141 |
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{
|
| 142 |
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"role": "user",
|
| 143 |
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"time": 0,
|
| 144 |
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"content": "What suspicious or harmful activities, including unlawful, criminal behaviors or destructive accidents, are happening in the video?"
|
| 145 |
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}
|
| 146 |
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],
|
| 147 |
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"answer": [
|
| 148 |
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{
|
| 149 |
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"role": "assistant",
|
| 150 |
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"content": "When a white car turned, a motorcycle rushed over and the motorcycle driver was hit on the sidewalk.",
|
| 151 |
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|
| 152 |
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7.33,
|
| 153 |
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10.67
|
| 154 |
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],
|
| 155 |
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|
| 156 |
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7.33,
|
| 157 |
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11.67
|
| 158 |
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],
|
| 159 |
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"num_captions": 1
|
| 160 |
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}
|
| 161 |
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],
|
| 162 |
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"duration": 62.06666666666667
|
| 163 |
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},
|
| 164 |
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{
|
| 165 |
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"video": "RoadAccidents125_x264.mp4",
|
| 166 |
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"question_id": "RoadAccidents125_x264.mp4",
|
| 167 |
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|
| 168 |
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{
|
| 169 |
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"role": "user",
|
| 170 |
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"time": 0,
|
| 171 |
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"content": "What suspicious or harmful activities, including unlawful, criminal behaviors or destructive accidents, are happening in the video?"
|
| 172 |
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}
|
| 173 |
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],
|
| 174 |
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"answer": [
|
| 175 |
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{
|
| 176 |
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"role": "assistant",
|
| 177 |
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"content": "A black car collided with a straight black car while turning at a traffic light",
|
| 178 |
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|
| 179 |
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16.33,
|
| 180 |
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20.0
|
| 181 |
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],
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| 182 |
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| 183 |
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16.33,
|
| 184 |
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21.0
|
| 185 |
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],
|
| 186 |
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"num_captions": 1
|
| 187 |
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}
|
| 188 |
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],
|
| 189 |
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"duration": 59.03333333333333
|
| 190 |
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},
|
| 191 |
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{
|
| 192 |
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"video": "Shoplifting016_x264.mp4",
|
| 193 |
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"question_id": "Shoplifting016_x264.mp4",
|
| 194 |
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"conversation": [
|
| 195 |
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{
|
| 196 |
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"role": "user",
|
| 197 |
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"time": 0,
|
| 198 |
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"content": "What suspicious or harmful activities, including unlawful, criminal behaviors or destructive accidents, are happening in the video?"
|
| 199 |
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}
|
| 200 |
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],
|
| 201 |
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"answer": [
|
| 202 |
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{
|
| 203 |
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"role": "assistant",
|
| 204 |
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"content": "The woman opened the skirt with her hands, then stuffed the rectangular box into the skirt and sandwiched it with her legs.",
|
| 205 |
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|
| 206 |
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21.0,
|
| 207 |
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24.0
|
| 208 |
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],
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| 209 |
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| 210 |
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21.0,
|
| 211 |
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25.0
|
| 212 |
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],
|
| 213 |
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"num_captions": 1
|
| 214 |
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}
|
| 215 |
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],
|
| 216 |
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"duration": 49.43333333333333
|
| 217 |
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},
|
| 218 |
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{
|
| 219 |
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"video": "Explosion016_x264.mp4",
|
| 220 |
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"question_id": "Explosion016_x264.mp4",
|
| 221 |
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"conversation": [
|
| 222 |
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{
|
| 223 |
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"role": "user",
|
| 224 |
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"time": 0,
|
| 225 |
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"content": "What suspicious or harmful activities, including unlawful, criminal behaviors or destructive accidents, are happening in the video?"
|
| 226 |
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}
|
| 227 |
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],
|
| 228 |
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"answer": [
|
| 229 |
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{
|
| 230 |
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"role": "assistant",
|
| 231 |
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"content": "An explosion occurred in the distant building, and white smoke came out after a burst of fire.",
|
| 232 |
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|
| 233 |
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6.0,
|
| 234 |
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15.0
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| 235 |
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],
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6.0,
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| 238 |
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16.0
|
| 239 |
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],
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| 240 |
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"num_captions": 1
|
| 241 |
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}
|
| 242 |
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],
|
| 243 |
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"duration": 32.1
|
| 244 |
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},
|
| 245 |
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{
|
| 246 |
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"video": "Arrest024_x264.mp4",
|
| 247 |
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"question_id": "Arrest024_x264.mp4",
|
| 248 |
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"conversation": [
|
| 249 |
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{
|
| 250 |
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"role": "user",
|
| 251 |
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"time": 0,
|
| 252 |
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"content": "What suspicious or harmful activities, including unlawful, criminal behaviors or destructive accidents, are happening in the video?"
|
| 253 |
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}
|
| 254 |
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],
|
| 255 |
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"answer": [
|
| 256 |
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{
|
| 257 |
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"role": "assistant",
|
| 258 |
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"content": "The white car stopped. A man in white opened the passenger door and came out and crawled forward for a distance before stopping. Another man in white jumped out of the white car and lay motionless on the ground. The police checked the condition of the men and arrested them.",
|
| 259 |
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33.5,
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103.5
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33.5,
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