Update README.md

README.md

@@ -11,13 +11,59 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 1293604.0
+    num_bytes: 1293604
     num_examples: 24
   download_size: 1293869
-  dataset_size: 1293604.0
+  dataset_size: 1293604
 configs:
 - config_name: default
   data_files:
   - split: test
     path: data/test-*
+license: apache-2.0
+task_categories:
+- text-to-speech
+language:
+- en
+size_categories:
+- n<1K
 ---
+
+# ElevenLabs Multilingual V2 Technical Speech Dataset
+
+This dataset contains automatically generated technical phrases in three domains, converted to speech using the ElevenLabs Multilingual V2 model with Adam voice.
+
+## Dataset Description
+
+The dataset includes audio samples of technical phrases across three categories:
+- Machine Learning (ML)
+- Science
+- Technology
+
+Each entry contains:
+- Audio file in MP3 format (22050Hz)
+- Source text
+- Text length
+- Category label
+
+## Data Generation
+
+The phrases were procedurally generated using predefined templates to create coherent technical statements. All audio was synthesized using:
+- Model: ElevenLabs Multilingual V2
+- Voice: Adam
+- Voice Settings:
+  - Stability: 0.5
+  - Similarity Boost: 0.75
+  - Style: 0.0
+  - Speaker Boost: Enabled
+
+## Sample Entry
+
+```python
+{
+    'audio': 'path/to/audio.mp3',
+    'text': 'The Distributed computing infrastructure leveraging containerized applications efficiently orchestrates high-throughput transactions...',
+    'length': 195,
+    'category': 'tech_phrase'
+}
+```