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README.md

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 # Tatar Speech Commands Dataset
 
-This dataset contains 3,547 one-second utterances of 35 commands commonly used in robotics, IoT, and smart systems.  The recordings were collected from 153 different speakers.  The data is suitable for training and evaluating speech command recognition models.
+**Repository:** [https://github.com/IS2AI/TatarSCR](https://github.com/IS2AI/TatarSCR)
 
-## Dataset Statistics
+**Summary:** This dataset contains 3,547 one-second speech command utterances from 153 speakers, encompassing 35 commands relevant to robotics, IoT, and smart systems.  It was developed to address the lack of readily available Tatar language speech command datasets. The provided Keyword-MLP model was trained and tested on this dataset and is available for use with the dataset.
 
-* **Number of speakers:** 153
-* **Number of commands:** 35
-* **Number of utterances:** 3,547
-* **Audio length:** 1 second per utterance
 
-## Data Download
+**Abstract:**  (Error extracting abstract from the provided URL)  The paper introduces an open-source Tatar speech commands dataset designed for applications in IoT and robotics.  The dataset comprises 3,547 one-second utterances from 153 individuals, covering 35 commands frequently used in these fields.  A Keyword-MLP model was trained and evaluated on this dataset, and its code is also publicly available.
 
-The dataset can be downloaded from [Google Drive](https://drive.google.com/file/d/1CBmVeAYgNrkNKhL1wtG7KUKuLJ9hOfHL/view?usp=sharing).
 
-## Preprocessing and Augmentation
+**Dataset Statistics:**
 
-A Jupyter Notebook (`data_preprocessing_augmentation.ipynb`) is provided for data preprocessing and augmentation.  This notebook requires the ESC-50 dataset ([https://github.com/karolpiczak/ESC-50](https://github.com/karolpiczak/ESC-50)).
+| Statistic          | Value     |
+|----------------------|------------|
+| Number of Commands  | 35         |
+| Number of Utterances | 3,547      |
+| Number of Speakers  | 153        |
+| Audio Length        | 1 second   |
 
-## Model
 
-The provided Keyword-MLP model ([https://github.com/AI-Research-BD/Keyword-MLP](https://github.com/AI-Research-BD/Keyword-MLP)) was used for training and testing on this dataset.
-
-##  Inference
-
-Inference can be performed using either PyTorch or ONNX runtime.  Scripts are provided for both short (approximately 1-second) audio clips and longer clips processed using a sliding window approach.
-
-
-## License
-
-[Specify License here]
+**Citation:**
 
+Askat Kuzdeuov, Rinat Gilmullin, Bulat Khakimov, and Huseyin Atakan Varol. An Open-Source Tatar Speech Commands Dataset for IoT and Robotics Applications. TechRxiv. October 18, 2024, DOI: 10.36227/techrxiv.172926779.98914732/v1.