Update README.md

README.md

@@ -1,45 +1,60 @@
 ---
 license: apache-2.0
 task_categories:
-- automatic-speech-recognition
+  - automatic-speech-recognition
 language:
-- uz
-pretty_name: Uzbek_language_stt_dataset
+  - uz
+pretty_name: Uzbek Language Speech-to-Text Dataset
 size_categories:
-- 100K<n<1M
+  - 100K<n<1M
+
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: "transcription/train.tsv"
+  - split: validation
+    path: "transcription/validated.tsv"
+  - split: other
+    path: "transcription/other.tsv"
+  - split: wavs
+    path: "transcription/wavs.tsv"
+  - split: audio
+    path: "audio/"
+  - split: uz_other_dataset
+    path: "audio/uz_other_dataset/"
+  - split: uz_train_dataset
+    path: "audio/uz_train_dataset/"
+  - split: uz_validated_dataset
+    path: "audio/uz_validated_dataset/"
+  - split: wavs
+    path: "audio/wavs/"
+
 ---
-# Uzbek Speech-to-Text (STT) Dataset
 
-This dataset contains audio recordings in Uzbek and their corresponding transcriptions. The dataset is organized into several folders based on different subsets, such as validated, train, and other datasets.
+# Uzbek Language Speech-to-Text Dataset
 
-## Dataset Structure
+This dataset is designed for Automatic Speech Recognition (ASR) tasks in the Uzbek language. It includes audio files and their corresponding transcriptions.
 
-The dataset is structured as follows:
+## Dataset Structure
 
-- **audio/**: Contains all audio files.
-  - **uz_other_dataset/**: Contains `.tar` files, each containing multiple `.mp3` files.
-  - **uz_train_dataset/**: Contains `.tar` files, each containing multiple `.mp3` files.
-  - **uz_validated_dataset/**: Contains `.tar` files, each containing multiple `.mp3` files.
+- **audio/**
+  - **uz_other_dataset/**: Contains `.tar` files like `uz_other_0.tar`, `uz_other_1.tar`, etc.
+  - **uz_train_dataset/**: Contains `.tar` files like `uz_train_0.tar`, `uz_train_1.tar`, etc.
+  - **uz_validated_dataset/**: Contains `.tar` files like `uz_validated_0.tar`, `uz_validated_1.tar`, `uz_validated_2.tar`.
   - **wavs/**: Contains individual `.wav` files.
 
-- **transcription/**: Contains `.tsv` files with transcriptions.
-  - **other.tsv**: Transcriptions for `uz_other_dataset`.
-  - **train.tsv**: Transcriptions for `uz_train_dataset`.
-  - **validated.tsv**: Transcriptions for `uz_validated_dataset`.
-  - **wavs.tsv**: Transcriptions for `wavs`.
-
-## Example Data
+- **transcription/**
+  - **train.tsv**: Contains training data with file paths and transcriptions.
+  - **validated.tsv**: Contains validation data with file paths and transcriptions.
+  - **other.tsv**: Contains additional data with file paths and transcriptions.
+  - **wavs.tsv**: Contains paths to `.wav` files with their transcriptions.
 
-Each `.tsv` file contains the following columns:
+## Usage
 
-- `file_name`: Path to the audio file.
-- `transcription`: Corresponding transcription text.
+To load this dataset, use the `datasets` library from Hugging Face:
 
-### Example:
+```python
+from datasets import load_dataset
 
-```plaintext
-file_name                                        | transcription
------------------------------------------------ | -----------------------------------------------------------------
-audio/uz_validated_dataset/common_voice_uz_30061653.mp3 | Xola, anuv shokoladingizdan obering, dedi chamasi etti yasharlar qiz bidirlab.
-audio/uz_validated_dataset/common_voice_uz_28897734.mp3 | Men bu kunni hayotimdagi eng baxtli kun deb hisoblayman.
-audio/uz_validated_dataset/common_voice_uz_32191851.mp3 | Qopag‘on itga suyak kerak yoki tayoq.
+dataset = load_dataset("Beehzod/STT_uz")