datasets/build_ref_handal_condition.py

import json
from pycocotools.coco import COCO
from tqdm import tqdm
import string



text_pth  = "/data/work-gcp-europe-west4-a/yuqian_fu/datasets/HANDAL/handal_test_all_text.json"
save_path = "/data/work-gcp-europe-west4-a/yuqian_fu/datasets/HANDAL/handal_test_all_instruct_correct.json"

new_data = []
sent_id = 0

with open(text_pth, "r") as fp:
   datas = json.load(fp)



# data是一帧帧图片
for data in datas:
    instruct_list = []
    for anno in data["first_frame_anns"]:
        obj_name_tmp = data["image"].split("/")[0]
        obj_name = obj_name_tmp.split("_")[-1]

        # 去掉最后的 'es'（如果存在）
        if obj_name.endswith('es'):
            obj_name = obj_name[:-2]
        # 去掉最后的 's'（如果存在）
        elif obj_name.endswith('s'):
            obj_name = obj_name[:-1]
        
        raw = f"a {obj_name}."
        sent = f"a {obj_name}"
        tokens = sent.split()
        sample = {
            "tokens": tokens,
            "raw": raw,
            "sent_id": sent_id,
            "sent": sent
        }
        sent_id += 1
        instruct_list.append(sample)
        anno["text"] = f'The object covered by the green mask is a {obj_name}.'
    
    data["instruction"] = instruct_list
    new_data.append(data)
print(sent_id)
print(len(new_data))
with open(save_path, "w") as fp:
    json.dump(new_data, fp)