tools used to create this dataset/test_tokenizer-random.py

import random
from tokenizers import Tokenizer

# Load the tokenizer
TOKENIZER_PATH = 'tokenizer.json'
tokenizer = Tokenizer.from_file(TOKENIZER_PATH)

# Dataset file path
DATASET_PATH = 'tokenizer.txt'  # Update with your dataset file path

# Number of random samples to test
NUM_SAMPLES = 100

def load_dataset(file_path):
    """Loads the dataset file and returns a list of lines."""
    with open(file_path, 'r', encoding='utf-8') as file:
        lines = file.readlines()
    return [line.strip() for line in lines if line.strip()]

def test_tokenizer(dataset, num_samples=100):
    """Selects random samples, tokenizes them, and prints results."""
    print(f"Testing tokenizer with {num_samples} random samples...\n")
    random_samples = random.sample(dataset, min(num_samples, len(dataset)))
    
    for i, sample in enumerate(random_samples, 1):
        encoded = tokenizer.encode(sample)
        print(f"Sample {i}:")
        print(f"Original: {sample}")
        print(f"Encoded: {encoded.ids}")
        print(f"Decoded: {tokenizer.decode(encoded.ids)}")
        print(f"Language ID: 0")  #Balochi language ID is 0
        print("-" * 40)

if __name__ == "__main__":
    # Load dataset
    dataset = load_dataset(DATASET_PATH)
    
    # Test tokenizer
    test_tokenizer(dataset, NUM_SAMPLES)