Update README.md

README.md

@@ -63,10 +63,134 @@ Specifically, ARC-Hunyuan-Video-7B is built on top of the Hunyuan-7B vision-lang
     <img src="https://github.com/TencentARC/ARC-Hunyuan-Video-7B/blob/master/figures/method.jpg?raw=true" width="95%"/>
 <p>
 
-## News
+## ARC-Qwen-Video-7B
+In this version, we have switched the base model from hunyuan VLM to [Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) and introduce [ARC-Qwen-Video-7B](https://huggingface.co/TencentARC/ARC-Qwen-Video-7B). We used the same training data and training stages. Please refere to the  `arc-qwen-video` branch for details.
+
+We are also introducing a new model, [ARC-Qwen-Video-7B-Narrator](https://huggingface.co/TencentARC/ARC-Qwen-Video-7B-Narrator). It can output **timestamped video descriptions, speaker identities, and the specific ASR (Automatic Speech Recognition) content**. By processing its output with an external LLM, you can obtain more comprehensive structured information as follows (Click to watch the video):
+
+[<img src="https://img.youtube.com/vi/Bz1T4wCuWc8/maxresdefault.jpg" alt="视频" width="300">](https://www.youtube.com/watch?v=Bz1T4wCuWc8)
+
+> ### 视频概述
+>
+> 这是一个喜剧短片，讲述了一位丈夫藏在棉衣里的私房钱被妻子意外发现，并误以为是丈夫准备的“惊喜”礼物。视频通过夫妻二人的一通电话，生动展现了丈夫从悠闲自得，到震惊错愕，再到崩溃无奈的全过程，充满了戏剧性的反转和幽默感。
+>
+> ### 情节发展分解
+>
+> 视频情节围绕一通电话展开，以下是详细的时间线、场景、说话人和对话内容：
+>
+> <table>
+>   <thead>
+>     <tr>
+>       <th>时间戳</th>
+>       <th>场景描述</th>
+>       <th>说话人</th>
+>       <th>对话内容 (ASR)</th>
+>     </tr>
+>   </thead>
+>   <tbody>
+>     <tr>
+>       <td>0:00 - 0:05</td>
+>       <td>丈夫头戴浴帽，围着浴巾，在室内泳池边悠闲地自拍。</td>
+>       <td>无</td>
+>       <td>(无对话)</td>
+>     </tr>
+>     <tr>
+>       <td>0:05 - 0:10</td>
+>       <td><b>镜头切换</b>：妻子在服装店里，满脸幸福地给丈夫打电话。</td>
+>       <td>妻子</td>
+>       <td>“哎，老公，老公，我爱你爱你，爱死你了，么么么。”</td>
+>     </tr>
+>     <tr>
+>       <td rowspan="2" style="vertical-align: top;">0:10 - 0:18</td>
+>       <td rowspan="2" style="vertical-align: top;">丈夫接起电话，对妻子的热情感到好奇，妻子则兴奋地揭晓了“惊喜”。</td>
+>       <td>丈夫</td>
+>       <td>“哎，怎么了你这是，这么高兴啊？”</td>
+>     </tr>
+>     <tr>
+>       <td>妻子</td>
+>       <td>“今天我在我的棉衣兜里，发现了你给我的惊喜，一万元哟。”</td>
+>     </tr>
+>     <tr>
+>       <td>0:18 - 0:27</td>
+>       <td>听到“一万元”，丈夫表情瞬间凝固，从疑惑变为震惊和懊悔，但仍强装镇定。</td>
+>       <td>丈夫</td>
+>       <td>“啊？好啊，你你你你开心高兴就行。”</td>
+>     </tr>
+>     <tr>
+>       <td>0:27 - 0:34</td>
+>       <td>妻子开心地告知钱的用途，丈夫的表情彻底僵住，震惊加剧。</td>
+>       <td>妻子</td>
+>       <td>“我当然高兴啊，我用它买了一件新衣裳，等晚上回去穿给你看啊。”</td>
+>     </tr>
+>     <tr>
+>       <td rowspan="3" style="vertical-align: top;">0:34 - 0:46</td>
+>       <td rowspan="3" style="vertical-align: top;">丈夫确认钱已被花掉，情绪崩溃。妻子则认为是丈夫授权的，丈夫忍不住骂了一句。</td>
+>       <td>丈夫</td>
+>       <td>“你已经给买成衣服了？”</td>
+>     </tr>
+>     <tr>
+>       <td>妻子</td>
+>       <td>“当然啦，不是你说的吗？说买我自己喜欢的东西。老公，你真是太好了。”</td>
+>     </tr>
+>     <tr>
+>       <td>丈夫</td>
+>       <td>“你真是败家娘们儿啊你。”</td>
+>     </tr>
+>     <tr>
+>       <td rowspan="4" style="vertical-align: top;">0:46 - 0:59</td>
+>       <td rowspan="4" style="vertical-align: top;">妻子察觉丈夫语气不对，丈夫立刻改口掩饰，并催促妻子早点回家。</td>
+>       <td>妻子</td>
+>       <td>“什么，老公，你说什么？”</td>
+>     </tr>
+>     <tr>
+>       <td>丈夫</td>
+>       <td>“啊？我说好啊，你漂亮我高兴。”</td>
+>     </tr>
+>     <tr>
+>       <td>妻子</td>
+>       <td>“你说的，老公。你今天呀，一定要早点回来哟，我等你哟。”</td>
+>     </tr>
+>     <tr>
+>       <td>丈夫</td>
+>       <td>“行行行行行。”</td>
+>     </tr>
+>   </tbody>
+> </table>
+>
+> ### 人物与核心冲突
+>
+> #### 1. 人物分析
+>
+>    丈夫:
+>        行为: 藏私房钱，事发后极力掩饰自己的真实情绪（心痛、懊悔）。
+>        心理变化: 悠闲 -> 疑惑 -> 震惊 -> 崩溃 -> 无奈接受。
+>        特点: 爱面子，对妻子既有爱意也有无奈，典型的“妻管严”形象。
+>
+>    妻子:
+>        行为: 发现钱后，认为是丈夫的爱意表达，并迅速将其消费。
+>        心理变化: 全程处于发现“惊喜”的幸福和喜悦中。
+>        特点: 天真、消费果断，对丈夫充满信任和爱意。
+>
+> #### 2. 核心冲突
+>
+> 视频的核心冲突在于 “信息的严重不对等” 所造成的戏剧性误会：
+>
+> *   丈夫视角: 辛苦攒下的 $10,000$ 元私房钱被意外发现并花掉，是一场“惊吓”。
+> *   妻子视角: 丈夫精心准备的 $10,000$ 元浪漫基金，是一份巨大的“惊喜”。
+>
+> 这个误会推动了整个故事的发展，丈夫的“打碎牙往肚里咽”和妻子的“理所当然的幸福”形成了强烈的喜剧反差，制造了密集的笑点。
+>
+> ### 总结
+>
+> 该视频通过一个关于“私房钱”的常见家庭情景，巧妙地构建了一个充满反转和幽默的故事。它利用戏剧性讽刺（观众和丈夫知道真相，而妻子蒙在鼓里）的手法，精准捕捉了丈夫在突发状况下的复杂心理活动。整个过程不仅笑料百出，也含蓄地探讨了夫妻间的沟通、信任和金钱观等话题，容易引发观众的共鸣和讨论。
+
 
--   2025.07.25: We release the [model checkpoint](https://huggingface.co/TencentARC/ARC-Hunyuan-Video-7B) and inference code of ARC-Hunyuan-Video-7B including [vLLM](https://github.com/vllm-project/vllm) version.
--   2025.07.25: We release the [API service](https://arc.tencent.com/zh/document/ARC-Hunyuan-Video-7B) of ARC-Hunyuan-Video-7B, which is supported by [vLLM](https://github.com/vllm-project/vllm). We release two versions: one is V0, which only supports video description and summarization in Chinese; the other is the version consistent with the model checkpoint and the one described in the paper.
+## News
+- 2025.09.19: We release [ARC-Qwen-Video-7B](https://huggingface.co/TencentARC/ARC-Qwen-Video-7B), which switched the base model from hunyuan VLM to [Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct). We also release [ARC-Qwen-Video-7B-Narrator](https://huggingface.co/TencentARC/ARC-Qwen-Video-7B-Narrator), which can output timestamped video descriptions, speaker identities, and the specific ASR (Automatic Speech Recognition) content. Please refere to the  `arc-qwen-video` branch for details.
+- 2025.08.05: We release [ShortVid-Bench](https://huggingface.co/datasets/TencentARC/ShortVid-Bench), a specialized, human-annotated benchmark with multiple-choice questions for evaluating short-video understanding.
+- 2025.07.29: We release the training code for instruction tuning.
+- 2025.07.25: We release the [model checkpoint](https://huggingface.co/TencentARC/ARC-Hunyuan-Video-7B) and inference code of ARC-Hunyuan-Video-7B including [vLLM](https://github.com/vllm-project/vllm) version.
+- 2025.07.25: We release the [API service](https://arc.tencent.com/zh/document/ARC-Hunyuan-Video-7B) of ARC-Hunyuan-Video-7B, which is supported by [vLLM](https://github.com/vllm-project/vllm). We release two versions: one is V0, which only supports video description and summarization in Chinese; the other is the version consistent with the model checkpoint and the one described in the paper.
 
 ## Usage
 ### Dependencies