Update README.md

README.md

@@ -1,47 +1,70 @@
 ---
-dataset_info:
-  features:
-  - name: audio
-    dtype: audio
-  - name: original_path
-    dtype: string
-  - name: begin_time
-    dtype: float64
-  - name: end_time
-    dtype: float64
-  - name: transcript
-    dtype: string
-  - name: audio_duration
-    dtype: float64
-  - name: speaker_id
-    dtype: string
-  - name: chapter_id
-    dtype: string
-  - name: file
-    dtype: string
-  - name: id
-    dtype: string
-  - name: phoneme
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 8212877235.902578
-    num_examples: 124480
-  - name: validation
-    num_bytes: 79619978.44116542
-    num_examples: 1215
-  - name: test
-    num_bytes: 72734756.37978947
-    num_examples: 1112
-  download_size: 8098446381
-  dataset_size: 8365231970.723533
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
+annotations_creators:
+- machine-generated
+language:
+- fr
+language_creators:
+- crowdsourced
+license: cc-by-4.0
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+- 10K<n<100K
+source_datasets:
+- facebook/multilingual_librispeech
+task_categories:
+- automatic-speech-recognition
+- text-to-speech
+pretty_name: Multilingual LibriSpeech French (Phonemized & Curated)
+tags:
+- audio
+- speech
+- phonemes
+- ipa
+- french
+- mls
+- librispeech
+- cnam-lmssc
 ---
+
+# Multilingual LibriSpeech French Phoneme
+
+## Dataset Description
+
+- **Repository:** [Cnam-LMSSC/multilingual_librispeech_french_phoneme](https://huggingface.co/datasets/Cnam-LMSSC/multilingual_librispeech_french_phoneme)
+- **Point of Contact:** [Cnam-LMSSC Team](https://huggingface.co/Cnam-LMSSC)
+
+### Dataset Summary
+
+This dataset is a **curated version of the French subset of Multilingual LibriSpeech (MLS)**, enriched with a phonetic transcription column (`phoneme`).
+
+The **Laboratoire de Mécanique des Structures et des Systèmes Couplés (Cnam-LMSSC)** created this version to facilitate research into French acoustic modeling, phoneme recognition, and speech synthesis. It builds upon the high-quality audio derived from LibriVox audiobooks found in the original MLS dataset.
+
+### Supported Tasks
+- **Phoneme Recognition:** Training models to map audio features directly to IPA phonemes.
+- **Automatic Speech Recognition (ASR):** Robust speech-to-text tasks using audiobook data.
+- **Text-to-Speech (TTS):** Utilizing the high-quality, read-speech nature of LibriSpeech for synthesis.
+
+### Languages
+The dataset contains audio in **French (`fr`)**.
+
+## Dataset Structure
+
+### Data Instances
+
+A typical data point contains the audio, metadata about the speaker and chapter (derived from LibriVox), the original text, and the generated phonetic transcription.
+
+```python
+{
+  'id': '1234_5678_00001',
+  'audio': {
+    'path': '1234_5678_00001.flac',
+    'array': array([-0.012, 0.045, ...], dtype=float32),
+    'sampling_rate': 16000
+  },
+  'text': "IL EST TEMPS DE PARTIR",
+  'phoneme': "i l ɛ t ɑ̃ d ə p a ʁ t i ʁ",
+  'speaker_id': 1234,
+  'chapter_id': 5678,
+}