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README.md

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 # Tatar Speech Corpus ASR
-Tatar Speech Corpus ASR is a speech dataset sourced from the [this GitHub repository](https://github.com/IS2AI/Soyle). TatSC contains 269.1 hours of transcribed speech with 271,914 utterances. It is the first open-source Tatar speech corpus covering both crowdsourced and audiobooks data.
+[[Original repository]](https://github.com/IS2AI/Soyle) [[Original site]](https://issai.nu.edu.kz/issai-datasets/)
+
+## Dataset Summary
+
+Tatar Speech Corpus ASR is a speech dataset sourced from [this GitHub repository](https://github.com/IS2AI/Soyle). TatSC contains 269.1 hours of transcribed speech with 271,914 utterances. It is the first open-source Tatar speech corpus covering both crowdsourced and audiobooks data.
+
+## Dataset Structure
+
+**Parts:**  
+The dataset contains a single set of recordings, though they come from two different sources:
+- Crowdsourced recordings (thru Telegram bot and website)
+- Aligned audiobooks
+
+**Data Fields:**
+- `audio`: The speech audio file in the Tatar language
+- `text`: The transcription of the audio file in Tatar
+- `duration`: Length of the audio in seconds
+- `file_id`: Unique identifier for the audio file
+- `speaker_id`: Identifier for the speaker in the recording
+
+## Data Processing
+
+**Text Processing:**  
+Information about text normalization or preprocessing is not explicitly provided in the source.
+
+**Audio Processing:**  
+The audio samples range from very short utterances (0.21s) to longer segments (31.1s).
+
+**Technical Details:**
+|                       |                                    |
+|-----------------------|------------------------------------|
+| Dataset Type          | speech corpus for ASR              |
+| Language              | tt, Tatar                          |
+| Speech Style          | mixed (crowdsourced and audiobooks)|
+| Content               | varied                             |
+| Audio Parameters      | 16 kHz sampling rate               |
+| File Format           | MP3, TXT (UTF-8)                       |
+
+
+
+**Durations:**  
+|                       |                                    |
+|-----------------------|------------------------------------|
+| Audiobooks          | 23.02 hours             |
+| Crowdsourced (Telegram)          | 143.36 hours             |
+| Crowdsourced (Web)          | 97.29 hours             |
+| **Total duration**           | **269.1 hours**             |
+
+
+
+
+## License
+
+This dataset is distributed under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license.
+