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import json
def extract_translations(input_file, output_file, source_language, target_language):
try:
# Load the dataset
with open(input_file, 'r', encoding='utf-8') as file:
dataset = json.load(file)
# Prepare an output list for translations
extracted_translations = []
for item in dataset:
# Access the 'conversation_samples' field
conversation_samples = item.get('conversation_samples', {})
if not conversation_samples:
print("Warning: No 'conversation_samples' field found in an item.")
continue
# Loop through each category in 'conversation_samples'
for category, samples in conversation_samples.items():
for sample in samples:
# Extract translations if source and target languages exist
source_texts = sample.get(source_language)
target_texts = sample.get(target_language)
if source_texts and target_texts:
for src, tgt in zip(source_texts, target_texts):
extracted_translations.append({
"context": sample.get("context", ""),
source_language: src,
target_language: tgt
})
# Save the extracted translations to the output file
with open(output_file, 'w', encoding='utf-8') as file:
json.dump(extracted_translations, file, indent=4, ensure_ascii=False)
print(f"Translations successfully extracted to {output_file}")
except FileNotFoundError:
print(f"Error: File {input_file} not found.")
except json.JSONDecodeError:
print("Error: Failed to decode JSON. Ensure the file is properly formatted.")
except Exception as e:
print(f"An error occurred: {e}")
# Example usage
input_file = "Balochi Multilingual Corpus-v2.json" # Replace with your actual input file path
output_file = "balochi_to_persian.json" # Replace with desired output file name
source_language = "balochi"
target_language = "persian"
extract_translations(input_file, output_file, source_language, target_language)
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