70 lines
2.5 KiB
Python
70 lines
2.5 KiB
Python
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import os
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import json
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import glob
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import argparse
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def extract_unique_contexts(input_directory, output_directory):
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os.makedirs(output_directory, exist_ok=True)
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jsonl_files = glob.glob(os.path.join(input_directory, "*.jsonl"))
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print(f"Found {len(jsonl_files)} JSONL files.")
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for file_path in jsonl_files:
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filename = os.path.basename(file_path)
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name, ext = os.path.splitext(filename)
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output_filename = f"{name}_unique_contexts.json"
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output_path = os.path.join(output_directory, output_filename)
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unique_contexts_dict = {}
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print(f"Processing file: {filename}")
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try:
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with open(file_path, "r", encoding="utf-8") as infile:
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for line_number, line in enumerate(infile, start=1):
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line = line.strip()
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if not line:
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continue
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try:
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json_obj = json.loads(line)
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context = json_obj.get("context")
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if context and context not in unique_contexts_dict:
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unique_contexts_dict[context] = None
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except json.JSONDecodeError as e:
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print(
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f"JSON decoding error in file {filename} at line {line_number}: {e}"
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)
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except FileNotFoundError:
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print(f"File not found: {filename}")
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continue
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except Exception as e:
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print(f"An error occurred while processing file {filename}: {e}")
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continue
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unique_contexts_list = list(unique_contexts_dict.keys())
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print(
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f"There are {len(unique_contexts_list)} unique `context` entries in the file {filename}."
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)
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try:
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with open(output_path, "w", encoding="utf-8") as outfile:
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json.dump(unique_contexts_list, outfile, ensure_ascii=False, indent=4)
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print(f"Unique `context` entries have been saved to: {output_filename}")
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except Exception as e:
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print(f"An error occurred while saving to the file {output_filename}: {e}")
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print("All files have been processed.")
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument("-i", "--input_dir", type=str, default="../datasets")
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parser.add_argument(
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"-o", "--output_dir", type=str, default="../datasets/unique_contexts"
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)
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args = parser.parse_args()
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extract_unique_contexts(args.input_dir, args.output_dir)
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