| --- |
| license: cc-by-nc-sa-4.0 |
| language: |
| - en |
| pretty_name: STEMMA-Bench |
| size_categories: |
| - n<1K |
| task_categories: |
| - audio-text-to-text |
| - question-answering |
| tags: |
| - music |
| - multi-audio |
| - benchmark |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: data/test.jsonl |
| dataset_info: |
| features: |
| - name: id |
| dtype: string |
| - name: task |
| dtype: string |
| - name: question |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: audios |
| sequence: string |
| splits: |
| - name: test |
| num_examples: 300 |
| --- |
| |
| # STEMMA-Bench |
|
|
| <p align="center"> |
| <a href="https://arxiv.org/abs/2610.11884">📄 Paper</a> | |
| <a href="https://github.com/hoyso48/STEMMA">💻 Code</a> | |
| <a href="https://huggingface.co/datasets/hoyso48/STEMMA-Instruct">🤗 STEMMA-Instruct</a> | |
| <a href="https://huggingface.co/hoyso48/STEMMA-MF2601">🤗 STEMMA-MF2601</a> | |
| <a href="https://huggingface.co/hoyso48/STEMMA-MOSS-Music">🤗 STEMMA-MOSS-Music</a> |
| </p> |
|
|
| Multi-audio music relation benchmark from *STEMMA: Song-to-Stem Multi-Audio Reasoning for Large Audio Language |
| Models*. Each item has an anchor (`Audio A`) and four candidates (`Candidate B`–`E`), one correct (chance 25%). Clips |
| are sections and native stems of multitrack recordings; every item was checked by listening. |
|
|
| | | | |
| |---|---| |
| | Items | 300 (100 each from MUSDB18-HQ, MoisesDB, MedleyDB) | |
| | Structural / attribute | 127 / 173 | |
| | Tasks | 14 | |
|
|
| ## Format |
|
|
| | Field | Description | |
| |---|---| |
| | `id` | item ID | |
| | `task` | `<relation>_anchor_candidates_mcq` | |
| | `question` | prompt with five `<audio>` (Audio A, Candidate B–E) | |
| | `answer` | correct letter (`B`–`E`) | |
| | `audios` | audio IDs, in prompt order | |
|
|
| Structural tasks: `same_track`, `same_track_block`, `adjacent_master`, `adjacent_block`, `same_section_cross_role`, |
| `parent_child`; the rest are attribute tasks (key, tempo, instrument, genre). `_block` tasks use stems. Accuracy is |
| reported per group; predicting `A` counts as wrong. |
|
|
| ## Audio |
|
|
| Audio is not included. Audio IDs are `<corpus>/<track>/<section>[/<stem>]`; `metadata/audio.jsonl` gives each clip's |
| source files in the original corpus, start/end time, and whether summed stems are peak-normalized. 210 MedleyDB section |
| mixes come from the mixture files in |
| [seungheondoh/cmd-medleydb-metadata](https://huggingface.co/datasets/seungheondoh/cmd-medleydb-metadata) |
| (revision `99e4ae2`). |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{sohn2026stemma, |
| title = {{STEMMA}: Song-to-Stem Multi-Audio Reasoning for Large Audio Language Models}, |
| author = {Sohn, Hoyeol and Kim, Wonil and Kim, Keunhyoung and Kum, Sangeun and Kim, Taehyoung and Moon, Dongjoo and Charoenchob, Theerasak and Weerapang, Teeratep and Lee, Jongpil and Nam, Juhan}, |
| year = {2026}, |
| eprint = {2610.11884}, |
| archivePrefix = {arXiv}, |
| primaryClass = {cs.SD}, |
| url = {https://arxiv.org/abs/2610.11884} |
| } |
| ``` |
|
|
| ## License |
|
|
| CC BY-NC-SA 4.0. The audio remains subject to the MUSDB18-HQ, MoisesDB, and MedleyDB terms. |
|
|
