让数据自我构建和改进

import json
from pathlib import Path
from PIL import Image

root = Path("dataset_scene_v7_full50_rotation8_...")
rows = []
with (root / "pairs/train_pairs.jsonl").open("r") as f:
    for line in f:
        rows.append(json.loads(line))

row = rows[0]
source = Image.open(root / row["source_image"]).convert("RGB")
target = Image.open(root / row["target_image"]).convert("RGB")
instruction = row["instruction"]

@misc{zhang2026dataevolverletdatabuild,
  title        = {DataEvolver: Let Your Data Build and Improve
                  Itself via Goal-Driven Loop Agents},
  author       = {Qisong Zhang and Wenzhuo Wu and Zhuangzhuang Jia
                  and Yunhao Yang and Huayu Zhang and Xianghao Zang
                  and Zhixiang He and Zhongjiang He and Kongming Liang
                  and Zhanyu Ma},
  year         = {2026},
  eprint       = {2605.01789},
  archivePrefix= {arXiv},
  primaryClass = {cs.AI},
  url          = {https://arxiv.org/abs/2605.01789}
}