Update README.md to clarify dataset focus on meter classification and correct terminology

README.md

@@ -23,14 +23,14 @@ dataset_info:
 
 # Meter2800
 
-**Dataset for music genre and meter (rhythm) classification**, combining tracks from GTZAN, MAG, OWN, and FMA.
+**Dataset for music time signature/ meter (rhythm) classification**, combining tracks from GTZAN, MAG, OWN, and FMA.
 
 ## Dataset Description
 
-Meter2800 is a curated collection of 2,800 `.wav` music audio samples, each annotated with **genre** and **meter** (and optionally `alt_meter`). It supports both:
+Meter2800 is a curated collection of 2,800 `.wav` music audio samples, each annotated with **meter** (and optionally `alt_meter`). It supports both:
 
 - **4-class classification** (e.g., 4 genres),
-- **2-class classification** (binary genre labeling).
+- **2-class classification** (binary meter labeling).
 
 Split into train/val/test sets with clear metadata in CSV.
 
@@ -64,8 +64,8 @@ Each entry in the dataset contains:
 
 The dataset is organized into the following splits:
 
-- `train_4`, `val_4`, `test_4`: For 4-class genre classification.
-- `train_2`, `val_2`, `test_2`: For 2-class (binary) genre classification.
+- `train_4`, `val_4`, `test_4`: For 4-class meter classification.
+- `train_2`, `val_2`, `test_2`: For 2-class (binary) meter classification.
 
 All splits are provided as CSV files referencing the audio files in the corresponding folders (`GTZAN/`, `MAG/`, `OWN/`, `FMA/`).
 
@@ -92,7 +92,7 @@ Meter2800/
 
 @misc{meter2800_dataset,
   author       = {PianistProgrammer},
-  title        = {{Meter2800}: A Dataset for Music Genre and Meter Classification},
+  title        = {{Meter2800}: A Dataset for Music time signature detection / Meter Classification},
   year         = {2025},
   publisher    = {Hugging Face},
   url          = {https://huggingface.co/datasets/pianistprogrammer/Meter2800}