Update README.md

README.md

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-license: cc-by-nc-nd-4.0
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+---
+license: cc-by-nc-nd-4.0
+task_categories:
+- automatic-speech-recognition
+- text-to-audio
+tags:
+- NLP
+- Audio Processing
+- ASR
+- Voice Recognition
+- Speech recognition
+- Audio
+size_categories:
+- 1K<n<10K
+---
+# Deepfake Audio Dataset - 5,000 Audio
+Dataset contains **5,000** audio files, comprising both authentic **human recordings** and synthetic** AI-generated voice** samples. It designed for advanced research in **deepfake detection**, focusing on detecting fake voices and **generated speech analysis**. Specifically engineered to challenge **voice authentication systems**, it supports the development of robust models for real vs fake human **voice recognition**. - **[Get the data](https://unidata.pro/datasets/real-vs-fake-human-voice-deepfake-audio/?utm_source=huggingface-nlp&utm_medium=referral&utm_campaign=real-vs-fake-human-voice-deepfake-audio)**
+## Dataset characteristics:
+| Characteristic          | Data                                                                 |
+|-------------------------|----------------------------------------------------------------------|
+| Description             | Audio for deepfake voice detection, containing genuine human speech recordings paired with multiple matching synthetic copies |
+| Data types              | Audio                                                                |
+| Tasks                   | Audio Deepfake Detection, Voice Analysis                            |
+| Total number of files   | 5,000                                                               |
+| Number of files in a set| 4 speakers × 5 clips × 4 audio files (1 original + 3 synthetic)     |
+| Labeling                | Metadata (country, gender, ID, age, audio group, audio name, audio text) |
+| Gender                  | Male, Female                                                        |
+### 📊 Sample dataset available! For full access, [contact us](https://unidata.pro/datasets/real-vs-fake-human-voice-deepfake-audio/?utm_source=huggingface-nlp&utm_medium=referral&utm_campaign=real-vs-fake-human-voice-deepfake-audio) to discuss purchase terms.
+## Dataset structure
+- UK - UK audio file
+- USA - USA audio file
+- dataset_voice_changing_metainfo.csv - metadata for the data
+
+### 🧩 Like the dataset but need different data? We can collect a custom dataset just for you - learn more about our data collection services [here](https://unidata.pro/datasets/real-vs-fake-human-voice-deepfake-audio/?utm_source=huggingface-nlp&utm_medium=referral&utm_campaign=real-vs-fake-human-voice-deepfake-audio)
+
+## Similar Datasets:
+1. [American Speech Recognition Dataset](https://unidata.pro/datasets/american-speech-recognition-dataset/?utm_source=huggingface-nlp&utm_medium=referral&utm_campaign=real-vs-fake-human-voice-deepfake-audio)
+2. [AI Avatar Dataset](https://unidata.pro/datasets/ai-avatar/?utm_source=huggingface-nlp&utm_medium=referral&utm_campaign=real-vs-fake-human-voice-deepfake-audio)
+3. [Audio Dataset: Various Music Genres](https://unidata.pro/datasets/audio-dataset-various-music-genres/?utm_source=huggingface-nlp&utm_medium=referral&utm_campaign=real-vs-fake-human-voice-deepfake-audio)
+
+## 🌐 [UniData](https://unidata.pro/datasets/real-vs-fake-human-voice-deepfake-audio/?utm_source=huggingface-nlp&utm_medium=referral&utm_campaign=real-vs-fake-human-voice-deepfake-audio) - your trusted data partner. Unique, accurate, thoroughly collected and annotated data designed to fuel your AI/ML success.