Update README.md

README.md

@@ -1,6 +1,7 @@
 ---
 task_categories:
 - automatic-speech-recognition
+- automatic-lyrics-transcription
 language:
 - en
 - fr
@@ -8,14 +9,20 @@ language:
 - es
 tags:
 - music
-pretty_name: "JamALT: A Formatting-Aware Lyrics Transcription Benchmark"
+- lyrics
+- evaluation
+- benchmark
+- transcription
+pretty_name: 'JamALT: A Formatting-Aware Lyrics Transcription Benchmark'
 ---
 
 # JamALT: A Formatting-Aware Lyrics Transcription Benchmark
 
 JamALT is a revision of the [JamendoLyrics](https://github.com/f90/jamendolyrics) dataset, adapted for use as an automatic lyrics transcription (ALT) benchmark.
 
-The lyrics have been revised according to the newly compiled [annotation guidelines](GUIDELINES.md).
+The lyrics have been revised according to the newly compiled [annotation guidelines](GUIDELINES.md), which include rules about spelling, punctuation, and formatting.
+
+See the [project website](https://audioshake.github.io/jam-alt/) for details.
 
 ## Loading the data
 
@@ -30,4 +37,12 @@ for example, use `load_dataset("audioshake/jam-alt", "es")` to load only the Spa
 Other arguments can be specified to control audio loading:
 - `with_audio=False` to skip loading audio.
 - `sampling_rate` and `mono=True` to control the sampling rate and number of channels.
-- `decode_audio=False` to skip decoding the audio and just get paths to the MP3 files.
+- `decode_audio=False` to skip decoding the audio and just get paths to the MP3 files.
+
+## Running evaluation
+
+Use the [alt-eval](https://github.com/audioshake/alt-eval) package for evaluation:
+```python
+from alt_eval import compute_metrics
+compute_metrics(dataset["text"], hypotheses, languages=dataset["languages"])
+```