import argparse,csv,json from collections import Counter from pathlib import Path TASKS={1:'Image Description',2:'2D Combination',3:'Comparative Reasoning',4:'Compound Reasoning'} META=('difficulty_score','target_cell_count','correct_answer_choice','canvas_size','seed') def plain(value): if isinstance(value,list):return ', '.join(map(str,value)) if isinstance(value,dict):return ', '.join(f'{k}: {v}' for k,v in value.items()) return str(value) def flatten(root): root=Path(root);rows=[];images=0;bad=[] for line in (root/'annotations.jsonl').open(encoding='utf8'): item=json.loads(line);images+=1;qs=item.get('questions',[]) if len(qs)!=4:bad.append(item['id']) meta=json.dumps({k:item[k] for k in META if k in item},separators=(',',':')) for q in qs: rows.append({'task':TASKS[q['difficulty_level']],'image':Path(item['image_path']).name,'prompt':q['question_text'],'groundtruth':plain(q['ground_truth']),'metadata':meta}) fields=['task','image','prompt','groundtruth','metadata'] with (root/'dataset_final.csv').open('w',encoding='utf-8-sig',newline='') as f: writer=csv.DictWriter(f,fieldnames=fields);writer.writeheader();writer.writerows(rows) with (root/'dataset_final.jsonl').open('w',encoding='utf8',newline='\n') as f: for row in rows:f.write(json.dumps(row,ensure_ascii=False,separators=(',',':'))+'\n') with (root/'dataset_final.csv').open(encoding='utf-8-sig',newline='') as f:readback=sum(1 for _ in csv.DictReader(f)) counts=Counter(r['task'] for r in rows) print(f'Images read: {images}\nTotal rows written: {len(rows)}\nCSV rows re-read: {readback}') for task,count in sorted(counts.items()):print(f'{task}: {count}') print('Images without exactly 4 questions: '+(', '.join(bad) if bad else 'none')) if readback!=len(rows) or len(rows)!=images*4 or bad:raise SystemExit(1) def main(): parser=argparse.ArgumentParser();parser.add_argument('--dataset-dir',default='.');flatten(parser.parse_args().dataset_dir) if __name__=='__main__':main()