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"cells": [
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Updated fixed SQL data saved to ../data/multi-agents/fixed/gpt-4o-mini-validator-fixer-bird_with_evidence_train.jsonl\n"
]
}
],
"source": [
"import json\n",
"from copy import deepcopy\n",
"\n",
"# File paths\n",
"fixed_sql_bird_file = '../data/multi-agents/fixed/gpt-4o-mini-fixed-bird_with_evidence_train.jsonl'\n",
"validator_select_file = '../data/multi-agents/validator/gpt-4o-mini-validator_select_bird_with_evidence_train.jsonl'\n",
"validator_condition_file = '../data/multi-agents/validator/gpt-4o-mini-validator_condition_bird_with_evidence_train.jsonl'\n",
"validator_join_file = '../data/multi-agents/validator/gpt-4o-mini-validator_join_bird_with_evidence_train.jsonl'\n",
"\n",
"# Function to load JSONL files\n",
"def load_jsonl(file_path):\n",
" data = []\n",
" with open(file_path, 'r', encoding='utf-8') as file:\n",
" for line in file:\n",
" data.append(json.loads(line))\n",
" return data\n",
"\n",
"# Load all datasets\n",
"fixed_sql_bird_data = load_jsonl(fixed_sql_bird_file)\n",
"validator_select_data = load_jsonl(validator_select_file)\n",
"validator_condition_data = load_jsonl(validator_condition_file)\n",
"validator_join_data = load_jsonl(validator_join_file)\n",
"\n",
"# Process and add valid samples\n",
"for sample_select, sample_condition, sample_join in zip(validator_select_data, validator_condition_data, validator_join_data):\n",
"\n",
" # Extract correctness feedback\n",
" select_correct = sample_select.get('feedback_conclude')\n",
" condition_correct = sample_condition.get('feedback_conclude')\n",
" join_correct = sample_join.get('feedback_conclude')\n",
"\n",
" # If all are correct, add a new sample to fixed_sql_bird_data\n",
" if select_correct and condition_correct and join_correct:\n",
" new_sample = deepcopy(sample_select)\n",
" new_sample = {\n",
" \"validator_select\": sample_select,\n",
" \"validator_condition\": sample_condition['validator_condition'],\n",
" \"validator_join\": sample_join['validator_join'],\n",
" \"fixed_sql\": [\"None\"] # Empty list as per instructions\n",
" }\n",
" fixed_sql_bird_data.append(new_sample)\n",
"\n",
"# Save the updated fixed SQL data\n",
"output_file = '../data/multi-agents/fixed/gpt-4o-mini-validator-fixer-bird_with_evidence_train.jsonl'\n",
"with open(output_file, 'w', encoding='utf-8') as file:\n",
" for entry in fixed_sql_bird_data:\n",
" file.write(json.dumps(entry, ensure_ascii=False) + '\\n')\n",
"\n",
"print(f\"Updated fixed SQL data saved to {output_file}\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
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"language": "python",
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"file_extension": ".py",
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