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@@ -223,8 +223,8 @@ The dataset is provided in a JSON format. Each entry represents a song and conta
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  The MAVL dataset was collected through a multi-step web crawling and human alignment process:
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  1. **Multilingual Lyrics Collection:** Metadata (song titles, artists) for English animated film music was gathered from last.fm. Original English lyrics were retrieved from Genius. Non-English lyrics corresponding to official dubbed versions were collected from platforms like lyricstranslate.com, ensuring they represent singable interpretations.
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- 2. **Lyrics Human Alignment:** A crucial step involved cross-referencing original English audio/video with non-English candidate lyrics and their official dubbed audio/video to rigorously verify authenticity and exclude non-official or non-singable versions.
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- 3. **Audio-Video-Lyrics Alignment:** The `stable-ts` tool (based on Whisper model) was used to generate precise timestamps, aligning audio, video, and lyrics to extract synchronized multimodal information.
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  For more detailed information on the data collection pipeline, please refer to Section 3.1 and Appendix D of our accompanying paper.
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  The MAVL dataset was collected through a multi-step web crawling and human alignment process:
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  1. **Multilingual Lyrics Collection:** Metadata (song titles, artists) for English animated film music was gathered from last.fm. Original English lyrics were retrieved from Genius. Non-English lyrics corresponding to official dubbed versions were collected from platforms like lyricstranslate.com, ensuring they represent singable interpretations.
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+ 2. **Lyrics Human Alignment:** A crucial step involved cross-referencing original English audio/video with non-English candidate lyrics and their official dubbed audio/video to rigorously verify authenticity and exclude non-official or non-singable versions. This also involved aligning the lines and sections of the non-English lyrics to the corresponding sections and lines of the original English lyrics.
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+ 3. **Audio-Video-Lyrics Alignment:** The `stable-ts` tool (based on Whisper model) was used to generate precise timestamps, aligning audio, video, and lyrics to extract synchronized multimodal information on both English version and non-English versions.
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  For more detailed information on the data collection pipeline, please refer to Section 3.1 and Appendix D of our accompanying paper.
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