Dataset Viewer (First 5GB)
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mmaudio_large_44k_vggsound/---g-f_I2yQ_000001
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mmaudio_large_44k_vggsound/--U7joUcTCo_000000
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mmaudio_large_44k_vggsound/--i-y1v8Hy8_000000
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mmaudio_large_44k_vggsound/-0UuUoXQUoI_000107
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mmaudio_large_44k_vggsound/-0Zg_dXR_6I_000013
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mmaudio_large_44k_vggsound/-0jeONf82dE_000021
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mmaudio_large_44k_vggsound/-0pJqpNjft4_000267
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mmaudio_large_44k_vggsound/-0yRK50zyTI_000030
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mmaudio_large_44k_vggsound/-1BtY81-D54_000130
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mmaudio_large_44k_vggsound/-1pRmoJIGQc_000010
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mmaudio_large_44k_vggsound/-23CeprtibU_000030
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mmaudio_large_44k_vggsound/-2Dm0VjW8oM_000001
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mmaudio_large_44k_vggsound/-3-4qmWSJXU_000030
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mmaudio_large_44k_vggsound/-3Kv4fdm7Uk_000030
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mmaudio_large_44k_vggsound/-3RH8_aeZkk_000105
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mmaudio_large_44k_vggsound/-4DpBHTuc88_000075
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mmaudio_large_44k_vggsound/-4bPiXbovf0_000008
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mmaudio_large_44k_vggsound/-4pmCrSdMhg_000030
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mmaudio_large_44k_vggsound/-4viN_EoxOA_000000
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mmaudio_large_44k_vggsound/-5CGQGSFGyg_000060
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mmaudio_large_44k_vggsound/-JGpAlLrSD0_000458
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hf://datasets/hkchengrex/MMAudio-precomputed-results@e80f0030be398a82e6caff09001665449c8932f0/mmaudio_large_44k_vggsound.tar
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mmaudio_large_44k_vggsound/-JJmkQYZA-4_000020
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hf://datasets/hkchengrex/MMAudio-precomputed-results@e80f0030be398a82e6caff09001665449c8932f0/mmaudio_large_44k_vggsound.tar
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mmaudio_large_44k_vggsound/-JTbHL7OKf0_000052
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hf://datasets/hkchengrex/MMAudio-precomputed-results@e80f0030be398a82e6caff09001665449c8932f0/mmaudio_large_44k_vggsound.tar
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mmaudio_large_44k_vggsound/-JUBdOr8Hes_000030
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hf://datasets/hkchengrex/MMAudio-precomputed-results@e80f0030be398a82e6caff09001665449c8932f0/mmaudio_large_44k_vggsound.tar
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mmaudio_large_44k_vggsound/-JUhUI_KvUI_000026
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hf://datasets/hkchengrex/MMAudio-precomputed-results@e80f0030be398a82e6caff09001665449c8932f0/mmaudio_large_44k_vggsound.tar
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mmaudio_large_44k_vggsound/-K-ccLMFE5M_000245
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hf://datasets/hkchengrex/MMAudio-precomputed-results@e80f0030be398a82e6caff09001665449c8932f0/mmaudio_large_44k_vggsound.tar
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mmaudio_large_44k_vggsound/-K-ccLMFE5M_000259
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hf://datasets/hkchengrex/MMAudio-precomputed-results@e80f0030be398a82e6caff09001665449c8932f0/mmaudio_large_44k_vggsound.tar
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mmaudio_large_44k_vggsound/-K1BRF6qng8_000030
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hf://datasets/hkchengrex/MMAudio-precomputed-results@e80f0030be398a82e6caff09001665449c8932f0/mmaudio_large_44k_vggsound.tar
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mmaudio_large_44k_vggsound/-KA76yUSK44_000240
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hf://datasets/hkchengrex/MMAudio-precomputed-results@e80f0030be398a82e6caff09001665449c8932f0/mmaudio_large_44k_vggsound.tar
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mmaudio_large_44k_vggsound/-KBH8YmHR-0_000050
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hf://datasets/hkchengrex/MMAudio-precomputed-results@e80f0030be398a82e6caff09001665449c8932f0/mmaudio_large_44k_vggsound.tar
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mmaudio_large_44k_vggsound/-KCYC-n5Uag_000022
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hf://datasets/hkchengrex/MMAudio-precomputed-results@e80f0030be398a82e6caff09001665449c8932f0/mmaudio_large_44k_vggsound.tar
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mmaudio_large_44k_vggsound/-KTabIWnPSg_000021
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hf://datasets/hkchengrex/MMAudio-precomputed-results@e80f0030be398a82e6caff09001665449c8932f0/mmaudio_large_44k_vggsound.tar
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End of preview. Expand
in Data Studio
Precomputed results for MMAudio
Results from four model variants of MMAudio.
All results are in the .flac format with lossless compression.
A cache folder contains the feature caches computed by the evaluation script.
Code: https://github.com/hkchengrex/MMAudio
Evaluation: https://github.com/hkchengrex/av-benchmark
VGGSound
Contains the VGGSound test set results. There are 15220 videos, collected with our best effort. Not all videos in the test sets are available online.
AudioCaps -- audioldm
Contains the AudioCaps test set results (964) with the subset used by audioldm/GenAU, obtained from https://github.com/haoheliu/AudioLDM-training-finetuning. Note that there are five captions per audio, and this subset selects one of the captions for evaluation.
AudioCaps -- full
This is similar to above, but we use all five captions (4820 in total).
MovieGen
Computed with the largest model only.
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