Datasets:

SushantGautam
/

lmms-lab_POPE-problematic

id stringlengths 1 4	question_id stringlengths 1 4	question stringclasses 70 values	answer stringclasses 2 values	image_source stringlengths 25 25	category stringclasses 3 values
7	8	Is there a car in the image?	no	COCO_val2014_000000210789	adversarial
15	16	Is there a motorcycle in the image?	no	COCO_val2014_000000429109	adversarial
17	18	Is there a truck in the image?	no	COCO_val2014_000000429109	adversarial
23	24	Is there a truck in the image?	no	COCO_val2014_000000211674	adversarial
25	26	Is there a bus in the image?	no	COCO_val2014_000000458338	adversarial
29	30	Is there a truck in the image?	no	COCO_val2014_000000458338	adversarial
33	34	Is there a chair in the image?	no	COCO_val2014_000000283412	adversarial
35	36	Is there a book in the image?	no	COCO_val2014_000000283412	adversarial
39	40	Is there a cup in the image?	no	COCO_val2014_000000265719	adversarial
41	42	Is there a dining table in the image?	no	COCO_val2014_000000265719	adversarial
42	43	Is there a tv in the image?	yes	COCO_val2014_000000461331	adversarial
49	50	Is there a handbag in the image?	no	COCO_val2014_000000544456	adversarial
53	54	Is there a snowboard in the image?	no	COCO_val2014_000000544456	adversarial
67	68	Is there a handbag in the image?	no	COCO_val2014_000000353180	adversarial
69	70	Is there a car in the image?	no	COCO_val2014_000000353180	adversarial
71	72	Is there a traffic light in the image?	no	COCO_val2014_000000353180	adversarial
81	82	Is there a bowl in the image?	no	COCO_val2014_000000569839	adversarial
83	84	Is there a handbag in the image?	no	COCO_val2014_000000569839	adversarial
87	88	Is there a truck in the image?	no	COCO_val2014_000000219622	adversarial
101	102	Is there a backpack in the image?	no	COCO_val2014_000000482476	adversarial
103	104	Is there a sports ball in the image?	no	COCO_val2014_000000131115	adversarial
107	108	Is there a bench in the image?	no	COCO_val2014_000000131115	adversarial
109	110	Is there a bottle in the image?	no	COCO_val2014_000000157084	adversarial
120	121	Is there a bowl in the image?	yes	COCO_val2014_000000336872	adversarial
122	123	Is there a spoon in the image?	yes	COCO_val2014_000000336872	adversarial
129	130	Is there a couch in the image?	no	COCO_val2014_000000075591	adversarial
135	136	Is there a book in the image?	no	COCO_val2014_000000516916	adversarial
137	138	Is there a bottle in the image?	no	COCO_val2014_000000516916	adversarial
141	142	Is there a cup in the image?	no	COCO_val2014_000000542145	adversarial
148	149	Is there a car in the image?	yes	COCO_val2014_000000218224	adversarial
149	150	Is there a bus in the image?	no	COCO_val2014_000000218224	adversarial
151	152	Is there a handbag in the image?	no	COCO_val2014_000000297078	adversarial
155	156	Is there a snowboard in the image?	no	COCO_val2014_000000297078	adversarial
157	158	Is there a dining table in the image?	no	COCO_val2014_000000033270	adversarial
158	159	Is there a person in the image?	yes	COCO_val2014_000000033270	adversarial
161	162	Is there a chair in the image?	no	COCO_val2014_000000033270	adversarial
163	164	Is there a car in the image?	no	COCO_val2014_000000140583	adversarial
171	172	Is there a traffic light in the image?	no	COCO_val2014_000000421455	adversarial
176	177	Is there a toothbrush in the image?	yes	COCO_val2014_000000288639	adversarial
177	178	Is there a cup in the image?	no	COCO_val2014_000000288639	adversarial
183	184	Is there a motorcycle in the image?	no	COCO_val2014_000000291936	adversarial
185	186	Is there a handbag in the image?	no	COCO_val2014_000000291936	adversarial
191	192	Is there a bench in the image?	no	COCO_val2014_000000063953	adversarial
196	197	Is there a dining table in the image?	yes	COCO_val2014_000000526321	adversarial
197	198	Is there a cup in the image?	no	COCO_val2014_000000526321	adversarial
199	200	Is there a skis in the image?	no	COCO_val2014_000000042190	adversarial
211	212	Is there a truck in the image?	no	COCO_val2014_000000170517	adversarial
216	217	Is there a person in the image?	yes	COCO_val2014_000000498759	adversarial
219	220	Is there a bicycle in the image?	no	COCO_val2014_000000498759	adversarial
221	222	Is there a truck in the image?	no	COCO_val2014_000000498759	adversarial
225	226	Is there a dining table in the image?	no	COCO_val2014_000000360600	adversarial
227	228	Is there a spoon in the image?	no	COCO_val2014_000000360600	adversarial
228	229	Is there a tv in the image?	yes	COCO_val2014_000000031773	adversarial
229	230	Is there a chair in the image?	no	COCO_val2014_000000031773	adversarial
233	234	Is there a cell phone in the image?	no	COCO_val2014_000000031773	adversarial
237	238	Is there a handbag in the image?	no	COCO_val2014_000000500257	adversarial
240	241	Is there a car in the image?	yes	COCO_val2014_000000574057	adversarial
247	248	Is there a bus in the image?	no	COCO_val2014_000000456178	adversarial
255	256	Is there a spoon in the image?	no	COCO_val2014_000000565941	adversarial
265	266	Is there a traffic light in the image?	no	COCO_val2014_000000454642	adversarial
269	270	Is there a bicycle in the image?	no	COCO_val2014_000000454642	adversarial
271	272	Is there a handbag in the image?	no	COCO_val2014_000000205729	adversarial
275	276	Is there a snowboard in the image?	no	COCO_val2014_000000205729	adversarial
285	286	Is there a backpack in the image?	no	COCO_val2014_000000329717	adversarial
288	289	Is there a chair in the image?	yes	COCO_val2014_000000012333	adversarial
297	298	Is there a cup in the image?	no	COCO_val2014_000000480122	adversarial
301	302	Is there a dining table in the image?	no	COCO_val2014_000000515904	adversarial
303	304	Is there a bottle in the image?	no	COCO_val2014_000000515904	adversarial
307	308	Is there a baseball bat in the image?	no	COCO_val2014_000000437347	adversarial
311	312	Is there a tennis racket in the image?	no	COCO_val2014_000000437347	adversarial
315	316	Is there a truck in the image?	no	COCO_val2014_000000354229	adversarial
317	318	Is there a traffic light in the image?	no	COCO_val2014_000000354229	adversarial
333	334	Is there a cup in the image?	no	COCO_val2014_000000217397	adversarial
343	344	Is there a truck in the image?	no	COCO_val2014_000000054025	adversarial
349	350	Is there a car in the image?	no	COCO_val2014_000000084447	adversarial
354	355	Is there a person in the image?	yes	COCO_val2014_000000192660	adversarial
357	358	Is there a cup in the image?	no	COCO_val2014_000000192660	adversarial
359	360	Is there a bottle in the image?	no	COCO_val2014_000000192660	adversarial
361	362	Is there a cup in the image?	no	COCO_val2014_000000575755	adversarial
363	364	Is there a bowl in the image?	no	COCO_val2014_000000575755	adversarial
367	368	Is there a chair in the image?	no	COCO_val2014_000000354088	adversarial
369	370	Is there a truck in the image?	no	COCO_val2014_000000354088	adversarial
371	372	Is there a cup in the image?	no	COCO_val2014_000000354088	adversarial
376	377	Is there a handbag in the image?	yes	COCO_val2014_000000311327	adversarial
377	378	Is there a backpack in the image?	no	COCO_val2014_000000311327	adversarial
385	386	Is there a bowl in the image?	no	COCO_val2014_000000350898	adversarial
395	396	Is there a vase in the image?	no	COCO_val2014_000000170365	adversarial
398	399	Is there a clock in the image?	yes	COCO_val2014_000000021645	adversarial
405	406	Is there a truck in the image?	no	COCO_val2014_000000528905	adversarial
413	414	Is there a dining table in the image?	no	COCO_val2014_000000239347	adversarial
415	416	Is there a chair in the image?	no	COCO_val2014_000000007320	adversarial
419	420	Is there a couch in the image?	no	COCO_val2014_000000007320	adversarial
433	434	Is there a handbag in the image?	no	COCO_val2014_000000564336	adversarial
435	436	Is there a traffic light in the image?	no	COCO_val2014_000000564336	adversarial
447	448	Is there a chair in the image?	no	COCO_val2014_000000465275	adversarial
449	450	Is there a tv in the image?	no	COCO_val2014_000000465275	adversarial
479	480	Is there a handbag in the image?	no	COCO_val2014_000000332025	adversarial
483	484	Is there a dog in the image?	no	COCO_val2014_000000318204	adversarial
497	498	Is there a backpack in the image?	no	COCO_val2014_000000069189	adversarial
499	500	Is there a skis in the image?	no	COCO_val2014_000000199764	adversarial

End of preview. Expand in Data Studio

lmms-lab_POPE-problematic

🔥🔥 Update: Seems like some other researchers have already figured out this: https://arxiv.org/abs/2504.15707v1. They also have published corrected annotations at: https://github.com/YanNeu/RePOPE/tree/main/annotations. See https://huggingface.co/datasets/SushantGautam/RePOPE for the corrected version

This dataset contains potentially incorrect annotations from the POPE dataset that were automatically flagged during experimentation with vision-language models.

The goal of this dataset is community review and verification. The examples included here are suspected to have incorrect answers, but they are not guaranteed to be wrong. Contributors and researchers are encouraged to inspect them and determine whether the original annotation is indeed incorrect.

Motivation

While working with the original dataset:

https://huggingface.co/datasets/lmms-lab/POPE

I noticed that some examples appear to have incorrect ground-truth answers when visually inspected.

To investigate this further, I ran a filtering pipeline to detect potential annotation mismatches between the image and the labeled answer. The filtered samples are collected in this dataset for manual inspection and discussion.

The intention is not to replace the original dataset, but to highlight examples that may require re-evaluation or correction.

How the samples were filtered

The suspected problematic samples were identified using:

Model: Qwen2-VL

Method:
The model was prompted with the image and the POPE question. If the model's prediction strongly disagreed with the labeled answer, the sample was flagged as potentially problematic.

Important notes: