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@@ -72,8 +72,12 @@ It has been published in the ISMIR 2024 paper (full citation [below](#citation))
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  The lyrics have been revised according to the newly compiled [annotation guidelines](GUIDELINES.md), which include rules about spelling and formatting, as well as punctuation and capitalization (PnC).
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  The audio is identical to the JamendoLyrics dataset.
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  > [!note]
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- > **Note:** The dataset is not time-aligned as it does not easily map to the timestamps from JamendoLyrics. To evaluate **automatic lyrics alignment** (**ALA**), please use [JamendoLyrics](https://huggingface.co/datasets/jamendolyrics/jamendolyrics) directly.
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  > [!tip]
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  > See the [project website](https://audioshake.github.io/jam-alt/) for details and the [JamendoLyrics community](https://huggingface.co/jamendolyrics) for related datasets.
@@ -124,9 +128,10 @@ dataset = load_dataset("jamendolyrics/jam-alt", revision="v1.2.0", split="test")
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  ## Citation
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- When using the benchmark, please cite [our paper](https://doi.org/10.5281/zenodo.14877443) as well as the original [JamendoLyrics paper](https://arxiv.org/abs/2306.07744):
 
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  ```bibtex
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- @misc{cifka-2024-jam-alt,
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  author = {Ondrej C{\'{\i}}fka and
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  Hendrik Schreiber and
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  Luke Miner and
@@ -149,6 +154,17 @@ When using the benchmark, please cite [our paper](https://doi.org/10.5281/zenodo
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  address={Rhodes Island, Greece},
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  doi={10.1109/ICASSP49357.2023.10096725}
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  }
 
 
 
 
 
 
 
 
 
 
 
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  ```
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  ## Contributions
 
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  The lyrics have been revised according to the newly compiled [annotation guidelines](GUIDELINES.md), which include rules about spelling and formatting, as well as punctuation and capitalization (PnC).
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  The audio is identical to the JamendoLyrics dataset.
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+ 💥 **New:** The dataset now has **line-level timings**.
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+ They were added in the paper 📄 **Exploiting Music Source Separation for Automatic Lyrics Transcription with Whisper** by
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+ J. Syed, I. Meresmen-Higgs, O. Cífka, and M. Sandler, presented at the [2025 ICME Workshop AI for Music](https://ai4musicians.org/2025icme.html).
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+
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  > [!note]
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+ > **Note:** The dataset is not time-aligned on the word level. To evaluate **automatic lyrics alignment** (**ALA**), please use [JamendoLyrics](https://huggingface.co/datasets/jamendolyrics/jamendolyrics), which is the standard benchmark for that task.
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  > [!tip]
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  > See the [project website](https://audioshake.github.io/jam-alt/) for details and the [JamendoLyrics community](https://huggingface.co/jamendolyrics) for related datasets.
 
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  ## Citation
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+ When using the benchmark, please cite our [ISMIR paper](https://doi.org/10.5281/zenodo.14877443) as well as the original [JamendoLyrics paper](https://arxiv.org/abs/2306.07744).
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+ For the line-level timings, please cite the ICME workshop paper.
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  ```bibtex
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+ @inproceedings{cifka-2024-jam-alt,
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  author = {Ondrej C{\'{\i}}fka and
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  Hendrik Schreiber and
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  Luke Miner and
 
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  address={Rhodes Island, Greece},
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  doi={10.1109/ICASSP49357.2023.10096725}
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  }
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+ @inproceedings{syed-2025-mss-alt,
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+ author = {Jaza Syed and
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+ Ivan Meresman-Higgs and
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+ Ondrej C{\'{\i}}fka and
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+ Mark Sandler},
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+ title = {Compressive Feature Selection for Remote Visual Multi-Task Inference},
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+ booktitle = {2024 {IEEE} International Conference on Multimedia and Expo Workshops (ICMEW)},
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+ publisher = {IEEE},
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+ year = {2025},
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+ note = {to appear}
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+ }
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  ```
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  ## Contributions