Create README.md

README.md

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+# Dataset Card for PSRB (Persian Speech Recognition Benchmark) - 1-Hour Sample
+
+## Dataset Summary
+
+The Persian Speech Recognition Benchmark (PSRB) is a comprehensive dataset designed to evaluate Persian Automatic Speech Recognition (ASR) systems under diverse real-world conditions.  
+This 1-hour sample provides a representative subset of the full PSRB corpus, capturing various accents, speech styles, speaker demographics, and acoustic environments.
+
+
+## Supported Tasks and Leaderboards
+
+- Automatic Speech Recognition (ASR)
+
+## Languages
+
+- Persian (Farsi)
+
+## Dataset Structure
+
+### Data Instances
+
+Each data instance in this sample is structured as:
+
+```json
+{
+  "audio_path": "file1.wav",
+  "text": "می‌گم نمی‌خواین طبق نقشه جلو بریم؟ نقشه رو بی‌خیال غمت نباشه ما مستر رد پا رو داریم. حس بویایی و شم‌ام اشتباه نمی‌کنه. همین الان اشتباه کرده.",
+  "audio_duration": 11.88,
+  "number_of_speakers": 3,
+  "gender": "male",
+  "age": "mix",
+  "accents": "standard",
+  "formality": "informal",
+  "semantic_content": "artistic&literary",
+  "data_source": "animation",
+  "acoustic_environment": "noisy",
+  "spontaneous": 1
+}
+```
+
+### Data Fields
+
+- **`audio_path`**: Path to the `.wav` audio file.
+- **`text`**: Transcription of the audio in Persian.
+- **`audio_duration`**: Duration of the audio file in seconds.
+- **`number_of_speakers`**: Number of speakers present in the clip.
+- **`gender`**: Gender of the speaker(s).
+- **`age`**: Age category (e.g., child, teen, adult, senior, or mix).
+- **`accents`**: Regional accent of the speaker or "standard."
+- **`formality`**: Formality level ("formal" or "informal").
+- **`semantic_content`**: Semantic topic or domain of the speech (e.g., artistic&literary, technological, medical).
+- **`data_source`**: Source type of the data (e.g., animation, podcast, lecture).
+- **`acoustic_environment`**: Recording environment (e.g., clean, noisy).
+- **`spontaneous`**: 1 if speech is spontaneous, 0 if scripted.
+---
+
+## Dataset Creation
+
+### Curation Rationale
+
+The PSRB dataset was created to address the lack of comprehensive Persian ASR resources, covering linguistic diversity (accents, formality) and acoustic variability (clean, noisy, phone calls).
+
+### Source Data
+
+Data sources include:
+- News broadcasts
+- Movies and TV shows
+- Podcasts
+- Lectures
+- Audiobooks
+- Talk shows
+
+Collected from platforms such as Telewebion, Aparat, YouTube, and Iranseda.
+
+### Annotations
+
+- Transcriptions manually created by expert native Persian speakers.
+- Strict two-pass quality control review to ensure consistency and correctness.
+- Rich metadata labeling for speaker demographics and speech conditions.
+
+### Personal and Sensitive Information
+
+- All data was anonymized to protect the identity of participants.
+- No personally identifiable information (PII) is present in this dataset.
+---
+
+## Considerations for Using the Data
+
+### Limitations
+
+- This sample may not capture the full variability of the complete PSRB corpus.
+---
+
+## Additional Information
+
+
+### Licensing Information
+
+This dataset is made available for **research and educational purposes only**.  
+---
+
+## Citation Information
+
+If you use this dataset in your research, please cite:
+
+```bibtex
+@misc{psrb2025,
+  title={PSRB: A Comprehensive Benchmark for Evaluating Persian Automatic Speech Recognition Systems},
+  author={Nima Sedghiye and Sara Sadeghi and Reza Khodadadi and Farzin Kashani and Omid Aghdaei and Somayeh Rahimi and Mohammad Sadegh Safari},
+  year={2025},
+  publisher={Part AI Research Center},
+  note={Preprint}
+}