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oreva/bass_music_benchmark

BASS: Benchmarking Audio LMs for Musical Structure and Semantic Reasoning BASS is a benchmark for evaluating music understanding and reasoning in audio language models. It comprises 2,658 questions across 12 tasks and 4 categories, covering 1,993 unique songs and over 138 hours of music. ๐Ÿš€ Usage from datasets import load_dataset ds = load_dataset("oreva/bass_music_benchmark", "lyrics_transcription") ds = load_dataset("oreva/bass_music_benchmark"โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/oreva/bass_music_benchmark.

sourceHugging Facecc-by-4.0updated 3mo agoView on Hugging Face
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14 commits on main
d18d5643mo ago

Upload README.md with huggingface_hub

oreva
46164793mo ago

Add config: musicological_analysis

oreva
b2dc49e3mo ago

Add config: structural_segmentation

oreva
50601f73mo ago

Add config: artist_collaboration

oreva
8b7f5c03mo ago

Add config: lyrics_transcription

oreva
8c1a6b15mo ago

Upload croissant.json (#3)

oreva, minjang10
087d4c66mo ago

Upload README.md with huggingface_hub

oreva
afbb1666mo ago

Upload README.md with huggingface_hub

oreva
07df29a6mo ago

Upload README.md with huggingface_hub

oreva
0a7e5de6mo ago

Add config: musicological_analysis

oreva
39923c36mo ago

Add config: structural_segmentation

oreva
28fb1466mo ago

Add config: artist_collaboration

oreva
5df43eb6mo ago

Add config: lyrics_transcription

oreva
ece4a3b8mo ago

initial commit

oreva