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  ---
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  task_categories:
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  - automatic-speech-recognition
 
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  language:
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  - en
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  - fr
@@ -8,14 +9,20 @@ language:
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  - es
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  tags:
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  - music
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- pretty_name: "JamALT: A Formatting-Aware Lyrics Transcription Benchmark"
 
 
 
 
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  ---
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  # JamALT: A Formatting-Aware Lyrics Transcription Benchmark
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  JamALT is a revision of the [JamendoLyrics](https://github.com/f90/jamendolyrics) dataset, adapted for use as an automatic lyrics transcription (ALT) benchmark.
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- The lyrics have been revised according to the newly compiled [annotation guidelines](GUIDELINES.md).
 
 
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  ## Loading the data
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  Other arguments can be specified to control audio loading:
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  - `with_audio=False` to skip loading audio.
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  - `sampling_rate` and `mono=True` to control the sampling rate and number of channels.
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- - `decode_audio=False` to skip decoding the audio and just get paths to the MP3 files.
 
 
 
 
 
 
 
 
 
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  ---
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  task_categories:
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  - automatic-speech-recognition
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+ - automatic-lyrics-transcription
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  language:
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  - en
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  - fr
 
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  - es
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  tags:
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  - music
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+ - lyrics
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+ - evaluation
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+ - benchmark
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+ - transcription
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+ pretty_name: 'JamALT: A Formatting-Aware Lyrics Transcription Benchmark'
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  ---
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  # JamALT: A Formatting-Aware Lyrics Transcription Benchmark
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  JamALT is a revision of the [JamendoLyrics](https://github.com/f90/jamendolyrics) dataset, adapted for use as an automatic lyrics transcription (ALT) benchmark.
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+ The lyrics have been revised according to the newly compiled [annotation guidelines](GUIDELINES.md), which include rules about spelling, punctuation, and formatting.
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+
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+ See the [project website](https://audioshake.github.io/jam-alt/) for details.
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  ## Loading the data
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  Other arguments can be specified to control audio loading:
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  - `with_audio=False` to skip loading audio.
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  - `sampling_rate` and `mono=True` to control the sampling rate and number of channels.
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+ - `decode_audio=False` to skip decoding the audio and just get paths to the MP3 files.
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+
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+ ## Running evaluation
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+
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+ Use the [alt-eval](https://github.com/audioshake/alt-eval) package for evaluation:
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+ ```python
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+ from alt_eval import compute_metrics
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+ compute_metrics(dataset["text"], hypotheses, languages=dataset["languages"])
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+ ```