Clarify weight and documentation license scopes
Browse files- LICENSE +15 -0
- README.md +3 -2
- WEIGHTS_NOTICE.md +1 -1
LICENSE
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MIT License
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Copyright (c) 2026 ACappellaSet contributors
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ACappellaSet licensing scope
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Model checkpoints: Creative Commons Attribution-NonCommercial 4.0
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International (CC BY-NC 4.0). Full weight license:
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licenses/CC-BY-NC-4.0.txt
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Upstream notices and third-party rights remain applicable; see
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WEIGHTS_NOTICE.md.
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The MIT License below applies only to original repository documentation and
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metadata. It does not license model checkpoints. Source code is maintained
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separately on GitHub under MIT with third-party notices.
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-----------------------------------------------------------------------
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MIT License
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Copyright (c) 2026 ACappellaSet contributors
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README.md
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# ACappellaSet models
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Model weights and release metadata for a cappella source separation.
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The public release contains **29 checkpoints**: three fixed-output models, twelve original part-specific specialists, and fourteen conditioned selections, including two trained with AI-generated singer augmentation. Downloads do not require login or an access request.
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**Weight license: [CC BY-NC 4.0](licenses/CC-BY-NC-4.0.txt)**, subject to the upstream notices and third-party rights described in [WEIGHTS_NOTICE.md](WEIGHTS_NOTICE.md).
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- **Checkpoint paths, hashes, configurations, and validation selections:** [manifest.json](manifest.json)
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- **Code and installation:** [ACappellaSet on GitHub](https://github.com/pting126/ACappellaSet)
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## Licenses and citation
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Original repository documentation and metadata use the [MIT license](LICENSE).
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All 29 model checkpoints use [CC BY-NC 4.0](licenses/CC-BY-NC-4.0.txt). Preserve attribution and indicate changes when sharing. This project license applies only to rights the licensors can grant; upstream notices and third-party rights remain applicable. See [weight notices](WEIGHTS_NOTICE.md). Dataset audio is separate.
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Upstream architecture attribution is maintained in the GitHub repository's
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[third-party notices](https://github.com/pting126/ACappellaSet/blob/main/THIRD_PARTY_NOTICES.md).
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# ACappellaSet models
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**Licensing scope:** All 29 model checkpoints use **[CC BY-NC 4.0 — full weight license](licenses/CC-BY-NC-4.0.txt)**, subject to [upstream notices and third-party rights](WEIGHTS_NOTICE.md). The root [LICENSE](LICENSE) applies MIT only to original documentation and metadata; it does not license the model weights. [Source code on GitHub](https://github.com/pting126/ACappellaSet) uses MIT with third-party notices.
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Model weights and release metadata for a cappella source separation.
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The public release contains **29 checkpoints**: three fixed-output models, twelve original part-specific specialists, and fourteen conditioned selections, including two trained with AI-generated singer augmentation. Downloads do not require login or an access request.
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- **Checkpoint paths, hashes, configurations, and validation selections:** [manifest.json](manifest.json)
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- **Code and installation:** [ACappellaSet on GitHub](https://github.com/pting126/ACappellaSet)
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## Licenses and citation
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Original repository documentation and metadata use the [MIT license](LICENSE), which does not apply to model weights.
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All 29 model checkpoints use [CC BY-NC 4.0](licenses/CC-BY-NC-4.0.txt). Preserve attribution and indicate changes when sharing. This project license applies only to rights the licensors can grant; upstream notices and third-party rights remain applicable. See [weight notices](WEIGHTS_NOTICE.md). Dataset audio is separate.
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Upstream architecture attribution is maintained in the GitHub repository's
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[third-party notices](https://github.com/pting126/ACappellaSet/blob/main/THIRD_PARTY_NOTICES.md).
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WEIGHTS_NOTICE.md
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@@ -14,5 +14,5 @@ B6-LM encoder weights; preserve the upstream [Apache license](licenses/WeSpeaker
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and [WeSpeaker attribution](https://huggingface.co/Wespeaker/wespeaker-voxceleb-redimnet2-B6-LM).
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Project fine-tuning changes pretrained tensors. All released checkpoints are inference-only exports, retaining every separator and matching encoder tensor while omitting optimizer state, training arguments, and internal filesystem paths.
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Original documentation and metadata retain their [MIT license](LICENSE).
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Dataset audio, corpus terms, and third-party rights remain separate.
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and [WeSpeaker attribution](https://huggingface.co/Wespeaker/wespeaker-voxceleb-redimnet2-B6-LM).
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Project fine-tuning changes pretrained tensors. All released checkpoints are inference-only exports, retaining every separator and matching encoder tensor while omitting optimizer state, training arguments, and internal filesystem paths.
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Original documentation and metadata retain their [MIT license](LICENSE); that MIT license does not apply to model weights.
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Dataset audio, corpus terms, and third-party rights remain separate.
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