Update README.md

README.md

@@ -1,3 +1,50 @@
----
-license: mit
----
+---
+license:
+  - cc-by-4.0
+task_categories:
+  - text-to-speech
+language:
+  - en
+pretty_name: ame
+size_categories:
+  - 10M<n<100M
+configs:
+  - config_name: default
+    data_files:
+      - split: dev
+        path: data/dev-*
+      - split: test
+        path: data/test-*
+      - split: train
+        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.
+
+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).
+
+This dataset can be used to train TTS models by leveraging the ground truth phoneme durations to align phoneme features with acoustic features.
+
+### Download the Dataset
+To download the dataset, use the following command:
+
+```
+huggingface-cli download ntt123/aligned_mls_eng --repo-type dataset
+```
+
+### Read TextGrid Files
+To read the TextGrid files, you can use the `textgrid` library. First, install the library:
+
+```
+pip install textgrid
+```
+
+Then, load and process a TextGrid file with the following example code:
+
+```python
+import textgrid
+
+# Load the TextGrid file
+tg = textgrid.TextGrid.fromFile('test.TextGrid')
+```