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--- |
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license: apache-2.0 |
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language: |
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- zh |
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tags: |
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- game |
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- hoyoverse |
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- video |
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- audio |
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- multimodal |
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- vision-language |
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- text |
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--- |
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# Game Playthrough |
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## Description (English) |
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This is a collection of playthrough videos of Honkai Impact 3rd from Hoyoverse, along with efforts to build a Chinese text corpus (with OCR and MLLM-based parsing). |
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The language setting is Chinese. |
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All credits to [the source author from BiliBili](https://www.bilibili.com/video/BV12W411h76f) |
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The dataset contains the following contents: |
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- [x] Videos: The video-only files, corresponding to all videos in the [source](https://www.bilibili.com/video/BV12W411h76f). Mostly in 1280x720 aspect ratio, HEVC encoding. |
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- [x] Audios: The audio-only files, coresponding to all the videos. Mostly in M4A format with various kbps. |
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- [ ] OCR-Results (Raw): The OCR results for all the frames every 1 second. This process is done by using [Paddle-OCR](https://github.com/PaddlePaddle/PaddleOCR). |
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- [ ] VLM-Parsed corpus: Given the OCR-results and image frames, hopefully we will parse the raw info into structured story narrations and dialogues (with associated speaker & content). This process will be done by using strong vision language models. |
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Up-to-date: 2024.08.08 |
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Latest video: [P186]主线第二部03间章：一个梦游者的苦痛-02[720P 高清] |
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## Description (Chinese) |
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本 Repo 收集了崩坏3的CG + 剧情对话视频，同时基于 OCR 和多模态大语言模型构造相应的中文崩坏3剧情语料。 |
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感谢 [B站视频Up主](https://www.bilibili.com/video/BV12W411h76f)。 |
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数据集包括以下部分： |
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- [x] 视频：纯视频文件 [source](https://www.bilibili.com/video/BV12W411h76f). 大部分都在 1280x720 分辨率, HEVC 编码。 |
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- [x] 音频：纯音频文件. 均为 M4A 格式，不同的 kbps。 |
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- [ ] OCR 结果 (无任何后处理)：对所有视频每隔1秒取一帧，使用 [Paddle-OCR](https://github.com/PaddlePaddle/PaddleOCR) 对每一帧执行 OCR，获取画面上的任何可识别文字。 |
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- [ ] 多模态大模型解析结果：对所有 OCR 结果 + 图像信息，调用多模态大模型将其解析成结构化剧情数据，包含旁白、说话人、说话内容等信息。 |
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时间截止：2024.08.08 |
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最新视频：[P186]主线第二部03间章：一个梦游者的苦痛-02[720P 高清] |
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## Illustration for text corpus construction pipeline |
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Here we show how text information is parsed from raw videos. |
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1. Extracting Video Frames |
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Save each frame as a image. |
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2. OCR on video frame |
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Apply an OCR model to recognize texts that appear in a frame. |
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```json |
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[{"box": [[1161.0, 17.0], [1250.0, 20.0], [1249.0, 49.0], [1160.0, 46.0]], "text": "跳过I", "score": 0.8165686130523682}, {"box": [[539.0, 154.0], [724.0, 136.0], [726.0, 158.0], [542.0, 177.0]], "text": "SOURCEUNKNOWN", "score": 0.9888437986373901}, {"box": [[541.0, 475.0], [645.0, 475.0], [645.0, 499.0], [541.0, 499.0]], "text": "不明通讯", "score": 0.9979484677314758}, {"box": [[807.0, 476.0], [976.0, 481.0], [976.0, 508.0], [806.0, 504.0]], "text": "无量塔姬子", "score": 0.9982650876045227}, {"box": [[544.0, 509.0], [1107.0, 534.0], [1106.0, 567.0], [542.0, 542.0]], "text": "防御系统已经解除，我们暂时安全了。但还是", "score": 0.9949256777763367}, {"box": [[548.0, 545.0], [786.0, 558.0], [784.0, 585.0], [546.0, 573.0]], "text": "不知道琪亚娜在哪里。", "score": 0.9898449182510376}] |
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``` |
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3. Vision-Language Understanding |
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Prompt a performant VLM to understand the frame image as well as OCR result (prevent hallucinations), and output structured information as follows: |
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```json |
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{ |
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"role": "无量塔姬子", |
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"content": "防御系统已经解除，我们暂时安全了。但还是不知道琪亚娜在哪里。" |
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} |
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``` |
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