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  # Game Playthrough
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- Work in progress. Will update when ocr and parsings are ready.
 
 
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  ## Description (English)
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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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  - [x] 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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  - [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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  - [x] 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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  # Game Playthrough
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+ 最终解析出的语料在 [honkai_impact_3rd_chinese_dialogue_corpus](https://huggingface.co/datasets/mrzjy/honkai_impact_3rd_chinese_dialogue_corpus)。
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+ See [honkai_impact_3rd_chinese_dialogue_corpus](https://huggingface.co/datasets/mrzjy/honkai_impact_3rd_chinese_dialogue_corpus) for final parsed result!
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  ## Description (English)
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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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  - [x] 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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+ - [x] 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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  - [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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  - [x] 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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+ - [x] 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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