Update README.md

README.md

@@ -19,32 +19,33 @@ configs:
         path: data/train-*
 ---
 
-# Aligned English MLS
-We use the Montreal Forced Aligner to align English audio files to transcripts. The dataset contains a total of 44.5K hours of English audio speech.
+# Aligned English Multilingual LibriSpeech (MLS) Dataset
+This repository contains phoneme alignments for 44.5K hours of English audio from the Multilingual LibriSpeech (MLS) dataset, generated using the Montreal Forced Aligner. The aligned data provides precise timing information for phonemes in each audio file, making it particularly valuable for training Text-to-Speech (TTS) models that require accurate phoneme duration estimation.
 
-We only provide the aligned TextGrid files. To download the audio files, you can use the Parler MLS English dataset available at [parler-tts/mls_eng](https://huggingface.co/datasets/parler-tts/mls_eng).
+## Dataset Contents
+Our repository provides the TextGrid alignment files only. For the corresponding audio files, please download the Parler MLS English dataset from their Hugging Face repository: [parler-tts/mls_eng](https://huggingface.co/datasets/parler-tts/mls_eng).
 
-This dataset can be used to train TTS models by leveraging the ground truth phoneme durations to align phoneme features with acoustic features.
+## Getting Started
 
-### Download the Dataset
-To download the dataset, use the following command:
+### Downloading the Dataset
+To download the aligned TextGrid files, use the Hugging Face CLI:
 
-```
-huggingface-cli download ntt123/aligned_mls_eng --repo-type dataset
+```bash
+huggingface-cli download ntt123/aligned_mls_eng --repo-type dataset --local-dir aligned_mls_eng
 ```
 
-### Read TextGrid Files
-To read the TextGrid files, you can use the `textgrid` library. First, install the library:
+### Working with TextGrid Files
+The dataset uses TextGrid files to store alignment information. To read these files, you'll need the `textgrid` Python library:
 
-```
+1. Install the library:
+```bash
 pip install textgrid
 ```
 
-Then, load and process a TextGrid file with the following example code:
-
+2. Load and process TextGrid files:
 ```python
 import textgrid
 
-# Load the TextGrid file
+# Load a TextGrid file
 tg = textgrid.TextGrid.fromFile('test.TextGrid')
 ```