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import argparse |
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import logging |
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import os |
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import json |
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from collections import defaultdict |
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def gen_score(input_file, output_file, logger=logging.getLogger(__name__)): |
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with open(input_file, "r") as f: |
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data = json.load(f) |
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total_correct = 0 |
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total_count = 0 |
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subject_stats = defaultdict(lambda: {"correct": 0, "total": 0}) |
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type_stats = defaultdict(lambda: {"correct": 0, "total": 0}) |
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category_stats = defaultdict(lambda: defaultdict(lambda: {"correct": 0, "total": 0})) |
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task_stats = defaultdict(lambda: {"correct": 0, "total": 0}) |
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for key, entry in data.items(): |
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total_count += 1 |
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is_correct = 1 if entry["true_false"] else 0 |
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total_correct += is_correct |
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subject = entry["subject"] |
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question_type = entry["type"].lower() |
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if entry["category"]: |
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if subject == "Coding": |
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category_list = entry["category"].split(';') |
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for category in category_list: |
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category = category.strip() |
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category_stats[subject][category]["total"] += 1 |
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category_stats[subject][category]["correct"] += is_correct |
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else: |
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category = entry["category"] |
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category_stats[subject][category]["total"] += 1 |
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category_stats[subject][category]["correct"] += is_correct |
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if entry["task"]: |
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task = subject + '_' + entry["task"] |
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task_stats[task]["total"] += 1 |
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task_stats[task]["correct"] += is_correct |
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subject_stats[subject]["total"] += 1 |
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subject_stats[subject]["correct"] += is_correct |
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type_stats[question_type]["total"] += 1 |
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type_stats[question_type]["correct"] += is_correct |
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average_accuracy = total_correct / total_count if total_count > 0 else 0 |
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logger.info(f"Average accuracy: {average_accuracy}") |
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score = { |
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"average": { |
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"accuracy": average_accuracy, |
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"correct": total_correct, |
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"total": total_count |
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}, |
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"subject": { |
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subject: { |
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"accuracy": stats["correct"] / stats["total"] if stats["total"] > 0 else 0, |
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"correct": stats["correct"], |
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"total": stats["total"] |
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} for subject, stats in subject_stats.items() |
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}, |
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"question_type": { |
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question_type: { |
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"accuracy": stats["correct"] / stats["total"] if stats["total"] > 0 else 0, |
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"correct": stats["correct"], |
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"total": stats["total"] |
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} for question_type, stats in type_stats.items() |
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}, |
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"category": { |
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subject:{ |
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category: { |
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"accuracy": stats["correct"] / stats["total"] if stats["total"] > 0 else 0, |
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"correct": stats["correct"], |
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"total": stats["total"] |
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} for category, stats in categories.items() |
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}for subject, categories in category_stats.items() |
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}, |
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"task": { |
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task: { |
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"accuracy": stats["correct"] / stats["total"] if stats["total"] > 0 else 0, |
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"correct": stats["correct"], |
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"total": stats["total"] |
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} for task, stats in task_stats.items() |
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} |
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} |
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with open(output_file, "w") as f: |
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f.write(json.dumps(score, indent=2)) |
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def main(): |
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parser = argparse.ArgumentParser() |
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parser.add_argument('--results_dir', type=str, default='') |
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args = parser.parse_args() |
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for root, dirs, files in os.walk(args.results_dir): |
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for file in files: |
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if file.endswith(".json") and not file.endswith("_result.json"): |
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gen_score(os.path.join(root, file), os.path.join(root, file).replace('.json', '_result.json')) |
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if __name__ == "__main__": |
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logging.basicConfig( |
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level=os.environ.get("LOGLEVEL", "INFO").upper(), |
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format="[%(name)s] %(message)s", |
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datefmt="[%X]" |
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) |
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logger_blocklist = [ |
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"asyncio", |
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"azure", |
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"azureml", |
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"datasets", |
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"httpx", |
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"httpcore", |
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"filelock", |
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"fsspec", |
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"msal", |
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"msrest", |
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"openai", |
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"PIL", |
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"urllib3", |
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] |
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for module in logger_blocklist: |
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logging.getLogger(module).setLevel(logging.WARNING) |
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main() |
