Update README.md

README.md

@@ -38,19 +38,19 @@ The **Maestro ABC Notation 25s Dataset** is a curated collection of question-and
 
 This dataset is crafted for training multi-modal audio-language models (such as [Spotify Llark](https://research.atspotify.com/2023/10/llark-a-multimodal-foundation-model-for-music/) and [Qwen2-Audio](https://github.com/QwenLM/Qwen2-Audio)) with a focus on music transcription tasks. The MIDI-to-ABC conversion is achieved with a modified script based on [this code](https://github.com/jwdj/EasyABC/blob/master/midi2abc.py).
 
-### Why ABC Notation?
+### Why ABC?
 
-ABC notation was chosen due to several advantages:
+The reasons for choosing this notation are:
 
-- **Simplicity**: ABC is a concise, text-based music notation, which makes it easier for text-based models to parse.
-- **Compatibility**: It’s a widely recognized format that many language models have already been trained on.
-- **Flexibility**: ABC notation can be extended to include additional musical information, such as tempo changes, time signature adjustments, and specific playing styles.
+- It's a minimalist format for writing music
+- It's widely used and popular, language models already have good comprehension and know a lot about ABC notation.
+- It's flexible and can easily be extended to include tempo changes, time signature changes, additional playing styles like mentioned above, etc…
 
-### Dataset Modifications for ABC Notation
+### Dataset Modifications to ABC Format
 
-- Assigned default octave ranges based on the common play ranges of piano keys to streamline the notation and reduce redundancy.
-- Excluded pieces with significant time signature changes or tempo fluctuations (over 10 BPM) for consistency.
-- Removed sections with silence to ensure active musical content in each sample.
+- Default octaves have been assigned to each instrument, using their most commonly played range. This reduces redundant octave notation.
+- For consistency, I excluded pieces that contain time signature changes or significant tempo variations (greater than 10 BPM).
+- All samples in this dataset contain active musical parts - sections with complete silence have been removed.
 
 ## Licensing Information