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3.33 kB
| # https://raw.githubusercontent.com/YanNeu/RePOPE/refs/heads/main/annotations/coco_repope_random.json | |
| # https://raw.githubusercontent.com/YanNeu/RePOPE/refs/heads/main/annotations/coco_repope_adversarial.json | |
| # https://raw.githubusercontent.com/YanNeu/RePOPE/refs/heads/main/annotations/coco_repope_popular.json | |
| ## example in json: | |
| # coco_repope_random.json | |
| # {"question_id": 1, "image": "COCO_val2014_000000310196.jpg", "text": "Is there a snowboard in the image?", "label": "yes"} | |
| # coco_repope_adversarial.json | |
| # {"question_id": 1, "image": "COCO_val2014_000000210789.jpg", "text": "Is there a truck in the image?", "label": "yes"} | |
| from datasets import load_dataset | |
| ds = load_dataset("lmms-lab/POPE", "default")['test'] | |
| # sample entry: | |
| # {'id': '0', 'question_id': '1', 'question': 'Is there a snowboard in the image?', | |
| # 'answer': 'yes', 'image_source': 'COCO_val2014_000000310196', | |
| # 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=640x427 at 0x1552C16AB2B0>, | |
| # 'category': 'adversarial'} | |
| # --------------------------------------------------------------------------- | |
| # helper: pull annotations from remote JSONs and attach to examples | |
| # --------------------------------------------------------------------------- | |
| import requests | |
| annotation_urls_jsonl = [ | |
| "https://raw.githubusercontent.com/YanNeu/RePOPE/refs/heads/main/annotations/coco_repope_random.json", | |
| "https://raw.githubusercontent.com/YanNeu/RePOPE/refs/heads/main/annotations/coco_repope_adversarial.json", | |
| "https://raw.githubusercontent.com/YanNeu/RePOPE/refs/heads/main/annotations/coco_repope_popular.json", | |
| ] # JSON filenames encode the category we want to propagate | |
| # load and index by category, subdividing by question_id | |
| # build a lookup index from category and question_id to annotation | |
| import os | |
| repope_index = {} | |
| for url in annotation_urls_jsonl: | |
| basename = os.path.splitext(os.path.basename(url))[0] # e.g. coco_repope_random | |
| category = basename.split("_")[-1] | |
| r = requests.get(url) | |
| r.raise_for_status() | |
| for line in r.text.splitlines(): | |
| if not line.strip(): | |
| continue | |
| ann = requests.compat.json.loads(line) | |
| ann["source_category"] = category | |
| qid = str(ann.get("question_id")) | |
| repope_index.setdefault(category, {})[qid] = ann | |
| # iterate once, updating answers and gathering statistics | |
| count = changed = removed = 0 | |
| new_examples = [] | |
| for idx, example in enumerate(ds): | |
| qid = str(example.get("question_id")) | |
| ann = repope_index.get(example.get("category"), {}).get(qid) | |
| if not ann: | |
| print(f"⚠️ No annotation for idx={idx} qid={qid} category={example.get('category')}") | |
| removed += 1 | |
| continue | |
| example['pope_old_answer'] = example['answer'] | |
| if example['answer'] != ann['label']: | |
| example['answer'] = ann['label'] | |
| changed += 1 | |
| new_examples.append(example) | |
| count += 1 | |
| print(f"✅ Matched {count} examples.") | |
| print(f"🔄 Changed {changed} answers.") | |
| print(f"❌ Removed {removed} with no annotation.") | |
| print("inspection complete") | |
| # ✅ Matched 8185 examples. | |
| # 🔄 Changed 494 answers. | |
| # ❌ Removed 815 with no annotation. | |
| from datasets import Dataset, DatasetDict | |
| ds = Dataset.from_list(new_examples) | |
| dataset = DatasetDict({ "test": ds}) | |
| dataset.push_to_hub("SushantGautam/RePOPE") | |