Fix README.md: resolve merge conflicts and clean up dataset card formatting

README.md

@@ -17,11 +17,7 @@ size_categories:
 paperswithcode_id: voxpopuli
 ---
 
-<<<<<<< HEAD
-# Dataset Card for HyVoxPopuli (Armenian VoxPopuli)
-=======
 # HyVoxPopuli Dataset
->>>>>>> 50a9947 (Refactor dataset_infos.json: update structure and enhance feature descriptions for clarity; remove unused files)
 
 The HyVoxPopuli dataset is the Armenian language subset of the Facebook VoxPopuli dataset. The name "HyVoxPopuli" comes from combining "hy" (the ISO 639-1 language code for Armenian) with "VoxPopuli" (the original dataset name). It is a high-quality collection of Armenian speech recordings with expert-validated transcriptions, carefully extracted and processed from the original VoxPopuli dataset (https://github.com/facebookresearch/voxpopuli).
 
@@ -32,11 +28,7 @@ This dataset is specifically designed for training and evaluating Armenian Autom
 The dataset is provided in Parquet format with the following splits:
 - Train: 498 examples
 - Validation: 62 examples
-<<<<<<< HEAD
-- Test: 63g examples
-=======
 - Test: 63 examples
->>>>>>> 50a9947 (Refactor dataset_infos.json: update structure and enhance feature descriptions for clarity; remove unused files)
 
 ### Features
 ```python
@@ -62,14 +54,6 @@ The dataset is provided in Parquet format with the following splits:
 from datasets import load_dataset
 
 # Load the full dataset
-<<<<<<< HEAD
-dataset = load_dataset("Edmon02/hyvoxpopuli")
-
-# Load a specific split
-train_dataset = load_dataset("Edmon02/hyvoxpopuli", split="train")
-```
-
-=======
 dataset = load_dataset("Edmon02/hyvoxpopuli")
 
 # Load a specific split
@@ -113,7 +97,6 @@ The dataset was created by:
 3. Expert validation of transcriptions
 4. Converting to a standardized format with normalized text
 
->>>>>>> 50a9947 (Refactor dataset_infos.json: update structure and enhance feature descriptions for clarity; remove unused files)
 ## License
 This dataset is licensed under CC-BY-4.0.