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. ๐ Usage from datasets import load_dataset ds = load_dataset("oreva/bass_music_benchmark", "lyrics_transcription") ds = load_dataset("oreva/bass_music_benchmark"โฆ See the full description on the dataset page: https://huggingface.co/datasets/oreva/bass_music_benchmark.
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Add config: musicological_analysis
Add config: structural_segmentation
Add config: artist_collaboration
Add config: lyrics_transcription
Upload croissant.json (#3)
Upload README.md with huggingface_hub
Upload README.md with huggingface_hub
Upload README.md with huggingface_hub
Add config: musicological_analysis
Add config: structural_segmentation
Add config: artist_collaboration
Add config: lyrics_transcription
initial commit
