Update README.md

README.md

@@ -1,11 +1,14 @@
 ---
+pretty_name: 'STOMA: A Multi-Speaker Greek Speech Corpus'
+annotations_creators:
+- expert-generated
+language:
+- el
 license: cc-by-4.0
 task_categories:
 - text-to-speech
-- audio-classification
 - automatic-speech-recognition
-language:
-- el
+- audio-classification
 tags:
 - speech_corpus
 - greek_language
@@ -13,14 +16,82 @@ tags:
 - neural_TTS
 - speech_synthesis
 - under_resourced_languages
-pretty_name: 'STOMA: A Multi-Speaker Greek Speech Corpus'
+- audio
 size_categories:
 - 10K<n<100K
+dataset_info:
+  features:
+  - name: speaker_id
+    dtype: string
+  - name: section
+    dtype: string
+  - name: session
+    dtype: string
+  - name: sentence_id
+    dtype: string
+  - name: audio_path
+    dtype: audio
+  - name: text_path
+    dtype: string
+  splits:
+  - name: all
+    num_bytes: 7610000000
+    num_examples: 14552
+  download_size: 7610000000
+  dataset_size: 7610000000
+configs:
+- config_name: default
+  data_files:
+  - split: all
+    path: stoma_metadata.csv
 ---
-# STOMA: A Multi-Speaker Greek Speech Corpus
 
+# STOMA: A Multi-Speaker Greek Speech Corpus
 STOMA is a new multi-speaker Greek speech corpus designed to advance research in text-to-speech (TTS) synthesis and related speech technologies for under-resourced languages. The corpus comprises approximately 23 hours of professionally recorded read speech from six native speakers (three male and three female), captured under controlled studio conditions using a dual-booth setup to ensure acoustic consistency and high signal quality. The spoken material was selected from the Text Bank of the Center for the Greek Language, specifically from texts corresponding to the B2, C1, and C2 proficiency levels of the Certification of Attainment in Greek, ensuring linguistically rich and pedagogically balanced content. All recordings were standardized to 44.1 kHz, 16-bit mono PCM format and processed through a hybrid quality control pipeline combining automated normalization and manual verification. To assess dataset quality, we trained state-of-the-art neural TTS systems based on the FastSpeech2 acoustic model and the HiFi-GAN vocoder, achieving natural and intelligible synthesized speech. The resulting corpus provides a publicly accessible, high-quality resource that supports both linguistic research and the development of modern speech synthesis systems in Greek.
 
+## Dataset Structure
+The dataset is organized into two main directories:
+* **Speakers/**: Contains the `.wav` audio files, organized by Speaker ID, Corpus Section, and Session.
+* **Text/**: Contains the `.txt` transcripts, organized by Corpus Section and Session.
+
+## Naming Convention
+The files follow a strict naming convention that encodes the metadata:
+
+### Text Files
+Format: `Greek-<corpus>-<session>-<sentence>.txt`
+* `<corpus>`: The section of the corpus (e.g., `Harvard`, `B2`, `C1`, `C2`).
+* `<session>`: The session number (e.g., `01`, `29`).
+* `<sentence>`: The unique sentence ID within that session.
+
+### Audio Files
+Format: `Greek-<speaker>-<corpus>-<session>-<sentence>.wav`
+* `<speaker>`: The speaker identifier.
+    * `M`: Main Male Speaker
+    * `F`: Main Female Speaker
+    * `M1`...`MX`: Other Male Speakers
+    * `F1`...`FX`: Other Female Speakers
+
+## Usage
+You can load this dataset directly in Python using the Hugging Face `datasets` library. 
+
+**Note:** Ensure `stoma_metadata.csv` is present in the repository for the automatic mapping to work.
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("aangelakis/STOMA", split="all")
+
+# Listen to the first example
+print(dataset[0])
+```
+
+## License
+STOMA is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
+
+
+## More Information
+Check out our GitHub repository for the training and inference procedures: [STOMA: A Multi-Speaker Greek Speech Corpus](https://github.com/aangelakis/STOMA)
+
 <div align="center">
 
   <strong>Table 1: Text statistics for the full text collection (Greek Harvard, B2, C1, and C2), recorded in its entirety by the two primary speakers.</strong>
@@ -347,9 +418,3 @@ STOMA is a new multi-speaker Greek speech corpus designed to advance research in
   </table>
 
 </div>
-
-## License
-STOMA is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
-
-## More Information
-Check out our GitHub repository for the training and inference procedures: [STOMA: A Multi-Speaker Greek Speech Corpus](https://github.com/aangelakis/STOMA)