Update README.md

README.md

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----
-license: mit
----
+---
+tags:
+- speech
+- speech-transcription
+- romanian
+language:
+- ro
+license: mit
+---
+# Common Voices Corpus 20.0 (Romanian)
+<h5 style="font-family: 'Calibri'; margin-bottom: 20px;">
+Common Voices is an open-source dataset of speech recordings created by 
+<a href="https://commonvoice.mozilla.org" target="_blank">Mozilla</a> to improve speech recognition technologies. 
+It consists of crowdsourced voice samples in multiple languages, contributed by volunteers worldwide.
+</h5>
+
+<h5 style="font-family: 'Calibri'; margin-bottom: 20px;">
+<strong>Challenges:</strong> The raw dataset included numerous recordings with incorrect transcriptions 
+or those requiring adjustments, such as sampling rate modifications, conversion to .wav format, and other refinements 
+essential for optimal use in developing and fine-tuning various models.
+</h5>
+
+<h5 style="font-family: 'Calibri'; margin-bottom: 20px;">
+<strong>Processing:</strong> Our team, led by project manager Vișan Ionuț, carefully reviewed and manually corrected the 
+transcriptions of all audio segments, ensuring their conversion into the required format for modern models 
+(16k Hz sampling rate, mono channel, .wav format).
+</h5>
+
+---
+<h2>Dataset Summary<h2>
+  
+<h5 style="font-family: 'Calibri'; margin-bottom: 2px;">
+<strong>common_voices20_audio: </strong> The folder containing all processed audio segments.
+</h5>
+<h5 style="font-family: 'Calibri'; margin-bottom: 2px;">
+Total number of audio segments: <strong>41,431</strong>.
+</h5>
+<h5 style="font-family: 'Calibri'; margin-bottom: 20px;">
+Total duration of all audio segments combined: approximately <strong>47 hours</strong>.
+</h5>
+
+<h5 style="font-family: 'Calibri'; margin-bottom: 2px;">
+<strong>common_voices20.csv: </strong> Contains metadata for all segments from the common_voices20_audio.
+</h5>
+<h5 style="font-family: 'Calibri'; margin-bottom: 2px;">
+The file contains 41,431 rows and 2 columns:
+</h5>
+<h5 style="font-family: 'Calibri'; margin-bottom: 2px;">
+  <ul>
+    <li><em>audio_file</em>: File names of the processed audio segments from common_voices20_audio.</li>
+    <li><em>transcript</em>: Corresponding text transcriptions for each audio file from common_voices20_audio.</li>
+  </ul>
+</h5>
+
+---
+<h2>Split<h2>
+<h5 style="font-family: 'Calibri'; margin-bottom: 2px;">
+To split the dataset (common_voices20.csv), we performed an 80-20 split into training and test sets using a seed value of 42, resulting in:
+</h5>
+<h5 style="font-family: 'Calibri'; margin-bottom: 2px;">
+  <ul>
+    <li><em>train_common_voices20.csv</em>: It contains 33,144 of the audio segments.</li>
+    <li><em>test_common_voices20.csv</em>: It contains 8,287 of the audio segments.</li>
+  </ul>
+</h5>
+
+---
+<h2>How to use<h2>
+  
+```python
+from datasets import load_dataset
+
+dataset = "TransferRapid/CommonVoices20_ro"
+
+dataset = load_dataset(dataset)
+
+print(dataset)
+```
+
+---
+<h2>Usage<h2>
+<h5 style="font-family: 'Calibri'; margin-bottom: 2px;">
+The dataset can be used for:
+</h5>
+<h5 style="font-family: 'Calibri'; margin-bottom: 2px;">
+  <ul>
+    <li><em>Speech-to-Text (STT) – Automatic Transcription</em></li>
+    <li><em>Text-to-Speech (TTS) – Synthetic Voice Generation</em></li>
+    <li><em>Speech Enhancement & Noise Reduction</em></li>
+    <li><em>Speaker Recognition & Verification</em></li>
+    <li><em>Sentiment Analysis & Emotion Recognition</em></li>
+    <li><em>AI-Powered Voice Assistants & Smart Devices</em></li>
+  </ul>
+</h5>
+
+---
+<h2>Communication<h2>
+<h5 style="font-family: 'Calibri'; margin-bottom: 2px;">
+For any questions regarding this dataset or to explore collaborations on ambitious AI/ML projects, please feel free to contact us at:
+</h5>
+<h5 style="font-family: 'Calibri'; margin-bottom: 2px;">
+  <ul>
+    <li><em>[email protected]</em></li>
+    <li><em><a href="https://www.linkedin.com/in/ionut-visan/" target="_blank">Linkedin</a></em></li>
+
+  </ul>
+</h5>