|
Download README.md from MMR-Lab/SheetSage-A2LS-subset100: direct link, hf CLI and curl.
- Browser
- Download file 1.35 kB
-
https://huggingface.co/datasets/MMR-Lab/SheetSage-A2LS-subset100/resolve/main/README.md
- Command line
-
hf download hf://datasets/MMR-Lab/SheetSage-A2LS-subset100/README.md
-
curl -L -o README.md https://huggingface.co/datasets/MMR-Lab/SheetSage-A2LS-subset100/resolve/main/README.md
1.35 kB
| language: | |
| - en | |
| license: cc-by-nc-sa-4.0 | |
| task_categories: | |
| - audio-to-audio | |
| pretty_name: A2LS test-100 | |
| # A2LS test-100 | |
| A 100-sample subset (random seed 42) of the test split of the Audio-to-Lead-Sheet | |
| (A2LS) dataset, with pre-computed [MuQ](https://github.com/tencent-ailab/MuQ) | |
| features. The audio itself is **not** included. | |
| Each row of the `test` split contains: | |
| | column | content | | |
| | ------------- | ---------------------------------------------------------------------------------- | | |
| | `file_name` | SheetSage record ID | | |
| | `features` | pre-computed MuQ features | | |
| | `beat_onsets` | beat onset times in seconds | | |
| | `length` | number of feature frames | | |
| | `transcript` | reference token sequence | | |
| | `kern` | ground-truth lead sheet in Humdrum `**kern` (**kern**, **cdata**, **text** spines) | | |
| Load with: | |
| ```python | |
| from datasets import load_from_disk | |
| dataset = load_from_disk("data/a2ls-100")["test"] | |
| ``` | |
| Data is released under CC-BY-NC-SA 4.0. | |