File size: 3,333 Bytes
79e014d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 | # 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")
|