shredder-31/contextualized-ST-Evidence

Contextualized ST-Evidence

A re-annotation of Salesforce/ST-Evidence-Instruct's gen_mask split. Same 19,902 entries, same objects, same frames, same temporal evidence. The only thing that changes is the spatial box on each frame.

This is the video counterpart of shredder-31/contextualized-viscot, built with the same model, the same prompt design and the same union-with-the- original safety rule.

Why

ST-Evidence ships per-frame instance masks from GroundingDINO + SAM 3. Take the extent of a mask contour and you get the object's silhouette and nothing else -- the tightest box the annotation can possibly support. That is the right target for segmentation and the wrong target for a model that has to justify an answer from a crop. "What is the person holding" needs the hand and the held thing. "How does he get past her" needs both people and the gap between them. The mean contour box covers 7.5% of the frame.

What we did

1. Contour to box. Every mask polygon's exterior becomes an axis-aligned box, per object per frame. Holes sit inside the exterior and cannot extend it, so they are ignored. This is bbox_orig.
2. Re-annotate with a 27B VLM. Qwen/Qwen3.8-27B is shown one frame, the question, the gold answer, the timestamp, and the referring expressions of the objects the answer depends on, and asked for the region a viewer would need in order to use each object as evidence -- not the region the object occupies. Greedy decoding, thinking enabled, one frame per prompt, all of that frame's objects answered in one JSON list.
3. 4 keyframes per object, twice over. Asking about all 3,865,164 boxes is an order of magnitude more compute than the whole viscot pass, so the model is asked about 4 frames inside the annotated temporal evidence (where the answer is) and 4 spread over the object's whole lifetime (so the carried box never has to be held static across a clip). Between keyframes the context box is linearly interpolated: the context an object needs -- the counter, the doorway, the other person -- is far more static than the object inside it, and unlike asking every frame it cannot flicker.
4. Union with the contour box, per frame. The shipped box is the tightest box containing both the interpolated context box and that frame's contour box. This is the safety property: the mask is contained by construction, so no ground-truth evidence is lost by switching to this version, and the box still tracks the object frame by frame.
5. 1% padding on each side.

The model answered 100.0% of entries with a strictly larger region. Boxes are pixel [x0, y0, x1, y1] at the frame's own resolution.

Coverage

Frame coverage is a box's area as a percentage of the frame's area: the share of the image a downstream model still has to look at after cropping to the box. It is the number this dataset exists to move. Where a frame holds more than one evidence object, frame coverage is the area of the UNION of their boxes rather than the sum, because the boxes overlap and summing would count the overlap twice.

Containment is the share of the original contour box lying inside the shipped box. Because the shipped box is a union with the contour box, it is 100% on every frame of this dataset by construction. It is reported so that a regression would be visible, not as a result.

Single box is frame coverage for one box enclosing every object on the frame -- what a model that crops each frame once would see. It is never smaller than the union, and on entries whose objects sit far apart it is close to the whole frame no matter how tight the boxes are. The clips below report both.

Averaged over every object on every frame, frame coverage goes from 7.45% to 15.05%: a 2.02x larger crop that still contains 100% of the original evidence.

Area growth by source

old/new are mean frame coverage, averaged over every object and every frame in an entry.

source	entries	objects	boxes	old area	new area	growth	grew	>=2x
clevrer	9,601	19,829	544,762	1.39%	5.56%	3.99x	100.0%	99.9%
pt	5,313	12,552	1,544,496	8.94%	18.18%	2.03x	100.0%	63.0%
star	4,988	10,858	1,775,906	17.54%	30.00%	1.71x	100.0%	31.8%
all	19,902	43,239	3,865,164	7.45%	15.05%	2.02x	100.0%	73.0%

Side-by-side clips

Every example here is a video, three panels of the same frame. Left is the upstream annotation -- the instance mask and its contour box, both green. Middle is the shipped box in orange, with the contour box repeated in pale green so the growth is legible in place. Right folds each side to one box per frame: green enclosing every original box, orange enclosing every shipped one.

Each frame carries its own coverage figures, the complete per-frame table sits underneath each clip, and the .mp4 beside it is the same render at the source 6 fps with no frames dropped.

samples

Two entries per source, picked near the median growth so they show what the pipeline does to a typical entry rather than to its loudest one.

clip	source	frames	objects	coverage orig	coverage new	growth	single box orig -> new	containment
video_05484_a80fab	clevrer	27	1	1.38%	4.81%	3.48x	1.38% -> 4.81%	100.0%
video_09293_dc82bf	clevrer	32	1	1.17%	5.00%	4.29x	1.17% -> 5.00%	100.0%
video_3214_ea0702	pt	111	6	30.05%	47.91%	1.59x	53.96% -> 64.45%	100.0%
video_1918_374e55	pt	89	7	7.92%	21.36%	2.70x	24.19% -> 34.44%	100.0%
IXY95_24530d	star	138	2	19.28%	28.50%	1.48x	20.36% -> 28.95%	100.0%
QVQNK_b99ff7	star	122	2	14.93%	25.73%	1.72x	25.74% -> 32.18%	100.0%

clevrer -- video_05484_a80fab

What is the material of the sphere that is moving when the cube enters the scene?

answer: rubber
objects: red sphere moving from left to right
files: clevrer_video_05484_a80fab.mp4 | clevrer_video_05484_a80fab.csv

per-frame coverage, all 27 frames

frame	t (s)	evidence	asked	objects	orig coverage	new coverage	growth	orig single box	new single box
5	0.83		yes	1	0.79%	2.94%	3.71x	0.79%	2.94%
6	1.00			1	2.18%	5.63%	2.58x	2.18%	5.63%
7	1.17	yes	yes	1	2.54%	8.38%	3.30x	2.54%	8.38%
8	1.33	yes	yes	1	2.15%	8.09%	3.76x	2.15%	8.09%
9	1.50	yes	yes	1	1.93%	7.85%	4.06x	1.93%	7.85%
10	1.67	yes	yes	1	1.76%	5.52%	3.14x	1.76%	5.52%
11	1.83			1	1.63%	5.30%	3.25x	1.63%	5.30%
12	2.00			1	1.60%	5.13%	3.22x	1.60%	5.13%
13	2.17			1	1.60%	4.98%	3.12x	1.60%	4.98%
14	2.33		yes	1	1.50%	4.81%	3.21x	1.50%	4.81%
15	2.50			1	1.44%	4.75%	3.30x	1.44%	4.75%
16	2.67			1	1.44%	4.70%	3.27x	1.44%	4.70%
17	2.83			1	1.38%	4.70%	3.41x	1.38%	4.70%
18	3.00			1	1.32%	4.59%	3.48x	1.32%	4.59%
19	3.17			1	1.29%	4.49%	3.48x	1.29%	4.49%
20	3.33			1	1.23%	4.43%	3.60x	1.23%	4.43%
21	3.50			1	1.20%	4.43%	3.68x	1.20%	4.43%
22	3.67		yes	1	1.18%	4.38%	3.73x	1.18%	4.38%
23	3.83			1	1.09%	4.22%	3.85x	1.09%	4.22%
24	4.00			1	1.09%	4.11%	3.76x	1.09%	4.11%
25	4.17			1	1.07%	4.15%	3.88x	1.07%	4.15%
26	4.33			1	1.07%	4.13%	3.87x	1.07%	4.13%
27	4.50			1	0.99%	3.81%	3.85x	0.99%	3.81%
28	4.67			1	0.99%	3.72%	3.76x	0.99%	3.72%
29	4.83			1	0.94%	3.62%	3.85x	0.94%	3.62%
30	5.00			1	0.94%	3.51%	3.74x	0.94%	3.51%
31	5.17		yes	1	0.92%	3.42%	3.73x	0.92%	3.42%

clevrer -- video_09293_dc82bf

Are there any moving cylinders when the video ends?

answer: yes
objects: green metallic cylinder
files: clevrer_video_09293_dc82bf.mp4 | clevrer_video_09293_dc82bf.csv

per-frame coverage, all 32 frames

frame	t (s)	evidence	asked	objects	orig coverage	new coverage	growth	orig single box	new single box
0	0.00		yes	1	1.05%	5.06%	4.80x	1.05%	5.06%
1	0.17			1	1.08%	5.06%	4.67x	1.08%	5.06%
2	0.33			1	1.08%	5.06%	4.67x	1.08%	5.06%
3	0.50			1	1.08%	5.06%	4.67x	1.08%	5.06%
4	0.67			1	1.03%	5.06%	4.94x	1.03%	5.06%
5	0.83			1	1.03%	5.06%	4.94x	1.03%	5.06%
6	1.00			1	1.03%	5.06%	4.94x	1.03%	5.06%
7	1.17			1	1.03%	5.06%	4.94x	1.03%	5.06%
8	1.33			1	1.03%	5.06%	4.94x	1.03%	5.06%
9	1.50			1	1.03%	5.06%	4.94x	1.03%	5.06%
10	1.67		yes	1	1.03%	5.06%	4.94x	1.03%	5.06%
11	1.83			1	1.03%	5.06%	4.94x	1.03%	5.06%
12	2.00			1	1.05%	5.01%	4.75x	1.05%	5.01%
13	2.17			1	1.03%	5.01%	4.89x	1.03%	5.01%
14	2.33			1	1.17%	4.95%	4.24x	1.17%	4.95%
15	2.50			1	1.08%	4.78%	4.41x	1.08%	4.78%
16	2.67			1	1.17%	4.78%	4.10x	1.17%	4.78%
17	2.83			1	1.14%	4.72%	4.15x	1.14%	4.72%
18	3.00			1	1.25%	4.72%	3.76x	1.25%	4.72%
19	3.17			1	1.19%	4.67%	3.91x	1.19%	4.67%
20	3.33			1	1.19%	4.67%	3.91x	1.19%	4.67%
21	3.50		yes	1	1.17%	4.50%	3.86x	1.17%	4.50%
22	3.67			1	1.22%	4.77%	3.90x	1.22%	4.77%
23	3.83			1	1.19%	4.94%	4.14x	1.19%	4.94%
24	4.00			1	1.34%	5.10%	3.80x	1.34%	5.10%
25	4.17			1	1.31%	5.33%	4.06x	1.31%	5.33%
26	4.33			1	1.34%	5.50%	4.10x	1.34%	5.50%
27	4.50	yes	yes	1	1.37%	5.73%	4.18x	1.37%	5.73%
28	4.67	yes	yes	1	1.37%	4.84%	3.53x	1.37%	4.84%
29	4.83	yes	yes	1	1.40%	5.17%	3.68x	1.40%	5.17%
30	5.00	yes	yes	1	1.37%	4.47%	3.26x	1.37%	4.47%
31	5.17		yes	1	1.40%	5.46%	3.89x	1.40%	5.46%

pt -- video_3214_ea0702

Which containers were not matched with the correct covers in the order in which the person attempted to cover them?

answer: second, third
objects: light blue rectangular plastic container, white lid for the light blue container, clear plastic bottle with ridged body, white pump-style lid being placed on the clear plastic bottle, clear plastic pitcher with wide base, blue lid with white spout being placed on the clear plastic pitcher
files: pt_video_3214_ea0702.mp4 | pt_video_3214_ea0702.csv

per-frame coverage, all 111 frames

frame	t (s)	evidence	asked	objects	orig coverage	new coverage	growth	orig single box	new single box
0	0.00		yes	5	24.62%	34.28%	1.39x	47.67%	54.93%
1	0.17			5	24.48%	44.38%	1.81x	47.48%	60.95%
2	0.33			5	24.49%	54.39%	2.22x	47.47%	66.82%
3	0.50		yes	6	35.66%	69.35%	1.94x	56.50%	71.88%
4	0.67			6	48.82%	71.25%	1.46x	56.82%	71.88%
5	0.83			6	56.97%	76.11%	1.34x	61.54%	76.70%
6	1.00			6	57.71%	76.39%	1.32x	61.93%	77.32%
7	1.17			6	51.84%	70.85%	1.37x	56.87%	72.03%
8	1.33			6	50.43%	69.82%	1.38x	56.93%	72.34%
9	1.50			6	54.70%	70.60%	1.29x	58.96%	73.20%
10	1.67			6	51.88%	69.57%	1.34x	55.22%	73.35%
11	1.83			5	47.19%	72.42%	1.53x	58.14%	77.48%
12	2.00			6	32.79%	67.60%	2.06x	51.39%	72.19%
13	2.17			6	32.29%	67.40%	2.09x	50.38%	72.26%
14	2.33			6	32.35%	67.13%	2.08x	50.28%	72.26%
15	2.50			6	33.57%	66.88%	1.99x	49.55%	72.34%
16	2.67			6	35.20%	66.64%	1.89x	50.74%	72.42%
17	2.83			6	35.50%	66.31%	1.87x	51.32%	72.42%
18	3.00			6	36.60%	66.07%	1.80x	52.09%	72.50%
19	3.17			6	37.20%	65.75%	1.77x	52.55%	72.50%
20	3.33			6	34.76%	65.45%	1.88x	50.78%	72.58%
21	3.50			6	36.46%	65.16%	1.79x	52.69%	72.65%
22	3.67			6	40.94%	66.24%	1.62x	58.38%	74.83%
23	3.83			6	41.14%	65.71%	1.60x	58.40%	74.60%
24	4.00			6	41.36%	65.18%	1.58x	58.03%	74.36%
25	4.17			6	42.03%	64.60%	1.54x	58.44%	74.13%
26	4.33			6	41.86%	64.05%	1.53x	58.31%	73.90%
27	4.50			6	41.80%	63.48%	1.52x	58.64%	73.66%
28	4.67			6	40.80%	62.96%	1.54x	58.05%	73.43%
29	4.83			6	37.07%	61.74%	1.67x	52.81%	72.89%
30	5.00			6	32.33%	60.43%	1.87x	50.96%	72.96%
31	5.17			6	33.14%	58.92%	1.78x	57.21%	72.73%
32	5.33			6	36.19%	57.49%	1.59x	58.29%	72.50%
33	5.50		yes	6	36.35%	56.02%	1.54x	58.27%	72.26%
34	5.67			6	36.30%	52.31%	1.44x	58.31%	67.73%
35	5.83		yes	6	33.64%	46.84%	1.39x	53.64%	60.24%
36	6.00			6	28.46%	43.98%	1.55x	50.85%	61.71%
37	6.17		yes	6	28.07%	39.17%	1.40x	58.23%	62.36%
38	6.33			6	27.91%	39.52%	1.42x	58.40%	62.36%
39	6.50			6	27.10%	39.92%	1.47x	58.51%	62.36%
40	6.67			6	25.64%	42.53%	1.66x	58.33%	62.41%
41	6.83			6	22.79%	45.52%	2.00x	50.27%	62.41%
42	7.00			6	21.53%	46.58%	2.16x	49.24%	62.41%
43	7.17			6	21.46%	46.25%	2.16x	49.14%	62.41%
44	7.33			6	21.58%	46.04%	2.13x	49.20%	62.41%
45	7.50			6	20.85%	48.64%	2.33x	49.01%	62.45%
46	7.67			5	20.46%	30.98%	1.51x	42.85%	49.69%
47	7.83			5	20.11%	31.44%	1.56x	42.66%	49.69%
48	8.00			6	21.82%	51.00%	2.34x	49.06%	62.45%
49	8.17			6	22.67%	49.72%	2.19x	48.93%	62.45%
50	8.33			6	22.80%	50.25%	2.20x	49.01%	62.50%
51	8.50			6	22.14%	48.82%	2.20x	42.61%	58.66%
52	8.67			6	22.11%	48.73%	2.20x	42.53%	58.33%
53	8.83			6	21.98%	47.84%	2.18x	42.67%	58.06%
54	9.00			6	31.32%	50.92%	1.63x	48.91%	62.50%
55	9.17			4	20.11%	27.67%	1.38x	42.76%	49.77%
56	9.33			5	22.62%	40.35%	1.78x	58.42%	62.54%
57	9.50			6	25.55%	42.70%	1.67x	58.25%	62.54%
58	9.67			6	28.92%	42.35%	1.46x	58.16%	62.54%
59	9.83			6	27.15%	40.91%	1.51x	55.94%	60.70%
60	10.00			6	26.24%	40.52%	1.54x	55.55%	60.50%
61	10.17			6	26.84%	40.22%	1.50x	55.72%	60.50%
62	10.33			6	26.64%	39.89%	1.50x	55.44%	60.23%
63	10.50			6	27.03%	39.68%	1.47x	55.52%	60.23%
64	10.67			6	27.19%	39.60%	1.46x	55.59%	60.34%
65	10.83	yes	yes	6	26.57%	39.84%	1.50x	55.59%	61.15%
66	11.00	yes		6	28.50%	51.94%	1.82x	55.55%	61.02%
67	11.17	yes	yes	6	47.76%	69.56%	1.46x	57.73%	72.26%
68	11.33	yes		5	68.59%	70.96%	1.03x	71.52%	74.59%
69	11.50	yes		5	73.81%	76.17%	1.03x	75.52%	78.81%
70	11.67	yes		5	73.07%	75.29%	1.03x	73.48%	76.61%
71	11.83	yes		5	71.20%	73.87%	1.04x	76.26%	79.84%
72	12.00	yes		6	24.89%	38.68%	1.55x	64.02%	68.81%
73	12.17	yes	yes	6	23.05%	32.13%	1.39x	53.20%	58.06%
74	12.33	yes		6	23.97%	33.90%	1.41x	54.64%	58.87%
75	12.50	yes		6	23.57%	38.19%	1.62x	52.50%	59.50%
76	12.67	yes	yes	6	21.23%	37.21%	1.75x	52.98%	60.21%
77	12.83	yes		6	20.46%	35.34%	1.73x	51.46%	59.36%
78	13.00	yes	yes	6	20.92%	33.48%	1.60x	53.00%	58.51%
79	13.17	yes		6	20.87%	33.46%	1.60x	52.94%	58.56%
80	13.33	yes		6	21.99%	33.55%	1.53x	53.84%	58.60%
81	13.50	yes		6	21.93%	33.54%	1.53x	53.17%	58.69%
82	13.67	yes		6	22.73%	36.56%	1.61x	52.77%	58.73%
83	13.83	yes		6	20.13%	33.60%	1.67x	51.80%	58.78%
84	14.00	yes		6	20.90%	33.56%	1.61x	53.79%	58.82%
85	14.17	yes		6	20.33%	33.61%	1.65x	51.93%	58.87%
86	14.33	yes	yes	6	20.82%	33.60%	1.61x	52.72%	58.96%
87	14.50	yes		6	26.40%	37.22%	1.41x	57.07%	61.74%
88	14.67	yes	yes	6	22.19%	36.56%	1.65x	52.63%	58.06%
89	14.83	yes		6	20.65%	36.12%	1.75x	52.81%	58.41%
90	15.00	yes		6	21.87%	36.38%	1.66x	55.78%	60.68%
91	15.17	yes		6	24.59%	36.23%	1.47x	53.11%	58.96%
92	15.33	yes		6	20.85%	35.18%	1.69x	53.61%	59.27%
93	15.50	yes		6	21.27%	35.01%	1.65x	54.21%	59.57%
94	15.67	yes		6	21.51%	34.92%	1.62x	54.90%	60.43%
95	15.83	yes		6	21.88%	34.85%	1.59x	55.57%	61.31%
96	16.00	yes		6	22.23%	35.40%	1.59x	56.94%	63.17%
97	16.17	yes	yes	6	20.39%	33.41%	1.64x	53.43%	60.79%
98	16.33			5	19.73%	32.34%	1.64x	50.32%	59.87%
99	16.50			5	19.58%	32.31%	1.65x	50.04%	59.80%
100	16.67			5	19.53%	32.26%	1.65x	50.20%	59.52%
101	16.83			5	19.74%	32.19%	1.63x	50.24%	59.30%
102	17.00			5	19.88%	32.19%	1.62x	50.49%	59.18%
103	17.17			5	19.48%	32.16%	1.65x	50.06%	58.96%
104	17.33			5	19.57%	32.10%	1.64x	49.96%	58.68%
105	17.50			5	19.46%	32.06%	1.65x	49.88%	58.53%
106	17.67			5	19.64%	32.03%	1.63x	50.14%	58.40%
107	17.83			5	19.61%	31.99%	1.63x	50.22%	58.18%
108	18.00			5	19.44%	31.91%	1.64x	50.11%	57.90%
109	18.17			5	19.64%	31.87%	1.62x	50.16%	57.69%
110	18.33		yes	5	19.50%	31.87%	1.63x	50.07%	57.56%

pt -- video_1918_374e55

How many objects were put in the box?

answer: 7
objects: blue hair tie placed into the box, roll of clear tape placed into the box, black computer mouse placed into the box, black remote control placed into the box, black smartphone placed into the box, blue Club Social snack package placed into the box, blue insole placed into the box
files: pt_video_1918_374e55.mp4 | pt_video_1918_374e55.csv

per-frame coverage, all 89 frames

frame	t (s)	evidence	asked	objects	orig coverage	new coverage	growth	orig single box	new single box
0	0.00		yes	5	10.92%	45.90%	4.20x	34.12%	74.01%
1	0.17			5	10.81%	39.02%	3.61x	34.12%	63.84%
2	0.33			5	10.97%	32.35%	2.95x	34.12%	53.87%
3	0.50		yes	6	11.05%	27.50%	2.49x	35.63%	46.68%
4	0.67			6	11.03%	27.79%	2.52x	35.68%	47.00%
5	0.83			6	10.96%	28.05%	2.56x	35.71%	47.24%
6	1.00			6	10.96%	28.33%	2.58x	35.67%	47.43%
7	1.17			6	11.02%	28.54%	2.59x	35.59%	47.67%
8	1.33			6	11.00%	28.92%	2.63x	35.64%	48.05%
9	1.50			6	11.06%	29.30%	2.65x	35.71%	48.25%
10	1.67			6	10.98%	29.61%	2.70x	35.68%	48.54%
11	1.83			6	11.06%	29.97%	2.71x	35.76%	48.74%
12	2.00			6	10.13%	29.32%	2.89x	33.07%	45.89%
13	2.17		yes	6	9.23%	29.70%	3.22x	35.57%	49.31%
14	2.33	yes	yes	7	9.77%	23.44%	2.40x	35.56%	44.46%
15	2.50	yes		7	10.75%	23.87%	2.22x	35.91%	44.06%
16	2.67	yes		7	9.58%	25.10%	2.62x	32.20%	39.91%
17	2.83	yes		6	7.52%	21.38%	2.84x	32.15%	40.75%
18	3.00	yes	yes	7	6.68%	18.35%	2.75x	36.01%	46.22%
19	3.17	yes		7	6.13%	20.47%	3.34x	34.99%	43.90%
20	3.33	yes		6	6.68%	25.53%	3.82x	33.10%	42.76%
21	3.50	yes		5	7.63%	21.37%	2.80x	32.34%	43.60%
22	3.67	yes		5	8.28%	22.24%	2.69x	33.11%	44.85%
23	3.83	yes	yes	5	8.06%	24.24%	3.01x	33.65%	46.16%
24	4.00	yes	yes	6	7.86%	34.68%	4.41x	32.52%	53.71%
25	4.17	yes		7	5.42%	30.51%	5.63x	37.39%	50.83%
26	4.33	yes	yes	6	6.68%	19.59%	2.93x	40.12%	53.39%
27	4.50	yes		6	6.65%	23.62%	3.55x	31.70%	47.40%
28	4.67	yes		6	9.97%	22.98%	2.30x	33.12%	44.52%
29	4.83	yes	yes	6	9.81%	23.38%	2.38x	34.57%	44.63%
30	5.00	yes		6	9.82%	23.74%	2.42x	33.34%	44.43%
31	5.17	yes	yes	6	9.98%	24.11%	2.42x	33.96%	44.22%
32	5.33	yes	yes	6	8.81%	24.40%	2.77x	33.69%	45.73%
33	5.50	yes	yes	7	10.35%	40.88%	3.95x	37.17%	65.99%
34	5.67	yes		5	7.50%	24.80%	3.31x	32.92%	46.94%
35	5.83	yes		6	7.69%	28.86%	3.75x	40.77%	52.01%
36	6.00	yes		6	7.70%	31.75%	4.13x	44.66%	56.35%
37	6.17	yes		7	8.08%	29.20%	3.61x	38.25%	50.90%
38	6.33	yes		7	7.58%	26.62%	3.51x	35.58%	49.46%
39	6.50	yes	yes	6	4.22%	17.34%	4.11x	31.49%	48.16%
40	6.67	yes		7	7.72%	23.95%	3.10x	33.55%	44.12%
41	6.83	yes		7	7.56%	21.72%	2.87x	33.46%	42.96%
42	7.00	yes		7	7.68%	18.92%	2.46x	33.42%	41.75%
43	7.17	yes		7	4.98%	19.42%	3.90x	31.89%	40.61%
44	7.33	yes		5	5.02%	23.30%	4.64x	33.47%	39.01%
45	7.50	yes		7	5.04%	18.41%	3.65x	30.89%	38.34%
46	7.67	yes	yes	7	6.90%	12.48%	1.81x	32.26%	37.20%
47	7.83	yes	yes	7	6.26%	18.74%	3.00x	29.99%	45.60%
48	8.00	yes	yes	7	4.20%	9.96%	2.37x	16.05%	21.25%
49	8.17	yes	yes	7	3.53%	10.94%	3.10x	13.83%	19.88%
50	8.33	yes	yes	7	3.78%	9.77%	2.59x	14.29%	19.80%
51	8.50	yes	yes	7	3.28%	11.22%	3.42x	11.99%	19.37%
52	8.67	yes		7	3.80%	10.48%	2.76x	13.92%	17.24%
53	8.83	yes		7	3.61%	12.28%	3.40x	13.97%	17.31%
54	9.00	yes		7	3.17%	13.66%	4.31x	13.12%	17.86%
55	9.17	yes	yes	7	4.09%	14.03%	3.43x	13.35%	22.14%
56	9.33	yes		7	5.88%	14.06%	2.39x	16.71%	21.76%
57	9.50	yes		7	5.09%	14.49%	2.85x	14.98%	21.84%
58	9.67	yes		7	2.99%	14.97%	5.00x	14.63%	21.66%
59	9.83	yes		7	3.00%	13.61%	4.53x	12.14%	18.31%
60	10.00	yes		7	2.04%	13.44%	6.58x	11.26%	17.61%
61	10.17	yes		7	1.59%	12.56%	7.90x	9.99%	14.69%
62	10.33	yes		7	5.56%	16.46%	2.96x	16.43%	19.83%
63	10.50	yes	yes	7	5.18%	12.21%	2.36x	11.10%	14.97%
64	10.67	yes	yes	6	5.26%	12.05%	2.29x	8.01%	12.86%
65	10.83	yes		5	4.59%	11.31%	2.47x	7.31%	12.53%
66	11.00	yes		5	3.59%	12.18%	3.39x	5.57%	13.74%
67	11.17	yes	yes	5	3.07%	13.49%	4.40x	5.92%	16.72%
68	11.33			5	3.92%	12.43%	3.17x	7.11%	16.16%
69	11.50			5	3.67%	10.51%	2.86x	8.43%	15.28%
70	11.67		yes	5	3.28%	9.02%	2.75x	8.13%	14.36%
71	11.83		yes	3	1.05%	8.18%	7.78x	4.20%	11.31%
72	12.00			2	7.69%	18.46%	2.40x	11.22%	18.48%
73	12.17			2	11.00%	17.64%	1.60x	14.34%	17.82%
74	12.33			2	8.91%	21.55%	2.42x	12.43%	22.14%
75	12.50		yes	2	13.16%	27.04%	2.05x	18.63%	27.68%
76	12.67			1	12.47%	21.08%	1.69x	12.47%	21.08%
77	12.83			1	12.51%	21.13%	1.69x	12.51%	21.13%
78	13.00			1	12.54%	21.21%	1.69x	12.54%	21.21%
79	13.17			1	12.57%	21.26%	1.69x	12.57%	21.26%
80	13.33			1	12.56%	21.35%	1.70x	12.56%	21.35%
81	13.50			1	12.51%	21.45%	1.71x	12.51%	21.45%
82	13.67			1	12.54%	21.49%	1.71x	12.54%	21.49%
83	13.83			1	12.59%	21.58%	1.71x	12.59%	21.58%
84	14.00			1	12.56%	21.63%	1.72x	12.56%	21.63%
85	14.17			1	12.58%	21.76%	1.73x	12.58%	21.76%
86	14.33			1	12.56%	21.76%	1.73x	12.56%	21.76%
87	14.50			1	12.54%	21.86%	1.74x	12.54%	21.86%
88	14.67		yes	1	12.51%	21.95%	1.75x	12.51%	21.95%

star -- IXY95_24530d

What will the person do next with the refrigerator?

answer: Open.
objects: person wearing a checkered shirt, white refrigerator inside the kitchen
files: star_IXY95_24530d.mp4 | star_IXY95_24530d.csv

per-frame coverage, all 138 frames

frame	t (s)	evidence	asked	objects	orig coverage	new coverage	growth	orig single box	new single box
0	0.00		yes	1	7.16%	14.72%	2.06x	7.16%	14.72%
1	0.17			1	7.16%	15.10%	2.11x	7.16%	15.10%
2	0.33			1	6.70%	15.29%	2.28x	6.70%	15.29%
3	0.50			1	6.91%	15.48%	2.24x	6.91%	15.48%
4	0.67			1	8.09%	18.06%	2.23x	8.09%	18.06%
5	0.83			1	7.53%	20.53%	2.73x	7.53%	20.53%
6	1.00			1	8.59%	21.34%	2.48x	8.59%	21.34%
7	1.17			1	9.75%	21.44%	2.20x	9.75%	21.44%
8	1.33			1	10.17%	21.53%	2.12x	10.17%	21.53%
9	1.50			1	10.36%	21.87%	2.11x	10.36%	21.87%
10	1.67			1	13.56%	23.12%	1.71x	13.56%	23.12%
11	1.83			1	15.03%	21.97%	1.46x	15.03%	21.97%
12	2.00			1	16.33%	21.97%	1.35x	16.33%	21.97%
13	2.17			1	16.70%	22.71%	1.36x	16.70%	22.71%
14	2.33			1	18.29%	22.51%	1.23x	18.29%	22.51%
15	2.50			1	20.15%	26.10%	1.30x	20.15%	26.10%
16	2.67			1	20.92%	26.04%	1.24x	20.92%	26.04%
17	2.83			1	20.54%	26.15%	1.27x	20.54%	26.15%
18	3.00			1	16.95%	28.55%	1.68x	16.95%	28.55%
19	3.17			1	16.92%	28.14%	1.66x	16.92%	28.14%
20	3.33			1	17.82%	23.55%	1.32x	17.82%	23.55%
21	3.50			1	16.77%	24.28%	1.45x	16.77%	24.28%
22	3.67			1	17.29%	24.94%	1.44x	17.29%	24.94%
23	3.83			1	19.06%	27.23%	1.43x	19.06%	27.23%
24	4.00			1	19.28%	26.44%	1.37x	19.28%	26.44%
25	4.17			1	19.51%	26.07%	1.34x	19.51%	26.07%
26	4.33			1	18.90%	25.27%	1.34x	18.90%	25.27%
27	4.50			1	18.98%	25.17%	1.33x	18.98%	25.17%
28	4.67			1	19.30%	25.33%	1.31x	19.30%	25.33%
29	4.83			1	19.46%	26.96%	1.39x	19.46%	26.96%
30	5.00			1	20.26%	27.27%	1.35x	20.26%	27.27%
31	5.17			1	21.42%	27.02%	1.26x	21.42%	27.02%
32	5.33			1	21.92%	27.09%	1.24x	21.92%	27.09%
33	5.50			1	22.17%	27.39%	1.24x	22.17%	27.39%
34	5.67			1	22.34%	27.80%	1.24x	22.34%	27.80%
35	5.83			1	21.47%	27.98%	1.30x	21.47%	27.98%
36	6.00			1	20.61%	27.98%	1.36x	20.61%	27.98%
37	6.17			1	20.26%	28.16%	1.39x	20.26%	28.16%
38	6.33			1	19.92%	28.16%	1.41x	19.92%	28.16%
39	6.50			1	19.67%	28.16%	1.43x	19.67%	28.16%
40	6.67			1	19.67%	28.44%	1.45x	19.67%	28.44%
41	6.83			1	19.52%	28.23%	1.45x	19.52%	28.23%
42	7.00			1	19.48%	27.99%	1.44x	19.48%	27.99%
43	7.17			1	19.48%	28.02%	1.44x	19.48%	28.02%
44	7.33			1	18.94%	27.88%	1.47x	18.94%	27.88%
45	7.50			1	18.24%	28.09%	1.54x	18.24%	28.09%
46	7.67		yes	1	18.74%	28.30%	1.51x	18.74%	28.30%
47	7.83			1	18.74%	28.76%	1.53x	18.74%	28.76%
48	8.00			1	18.75%	29.22%	1.56x	18.75%	29.22%
49	8.17			1	18.82%	29.68%	1.58x	18.82%	29.68%
50	8.33			1	18.36%	30.04%	1.64x	18.36%	30.04%
51	8.50			1	18.58%	30.62%	1.65x	18.58%	30.62%
52	8.67			1	17.97%	31.09%	1.73x	17.97%	31.09%
53	8.83			1	17.15%	31.45%	1.83x	17.15%	31.45%
54	9.00			1	17.00%	31.92%	1.88x	17.00%	31.92%
55	9.17			1	18.83%	32.22%	1.71x	18.83%	32.22%
56	9.33			1	22.90%	35.11%	1.53x	22.90%	35.11%
57	9.50			1	26.59%	37.92%	1.43x	26.59%	37.92%
58	9.67			1	28.17%	38.24%	1.36x	28.17%	38.24%
59	9.83			1	28.99%	38.00%	1.31x	28.99%	38.00%
60	10.00			1	27.66%	36.35%	1.31x	27.66%	36.35%
61	10.17			1	24.90%	35.01%	1.41x	24.90%	35.01%
62	10.33			1	22.61%	35.81%	1.58x	22.61%	35.81%
63	10.50			1	20.39%	36.18%	1.77x	20.39%	36.18%
64	10.67			1	18.74%	36.68%	1.96x	18.74%	36.68%
65	10.83			1	20.75%	39.05%	1.88x	20.75%	39.05%
66	11.00			1	21.67%	37.37%	1.72x	21.67%	37.37%
67	11.17			1	19.80%	38.01%	1.92x	19.80%	38.01%
68	11.33			1	18.62%	38.52%	2.07x	18.62%	38.52%
69	11.50			1	20.90%	39.03%	1.87x	20.90%	39.03%
70	11.67			1	21.65%	39.41%	1.82x	21.65%	39.41%
71	11.83			1	22.06%	39.92%	1.81x	22.06%	39.92%
72	12.00			1	21.60%	40.44%	1.87x	21.60%	40.44%
73	12.17			1	26.15%	40.96%	1.57x	26.15%	40.96%
74	12.33			1	28.90%	42.25%	1.46x	28.90%	42.25%
75	12.50			1	31.11%	46.83%	1.51x	31.11%	46.83%
76	12.67			1	31.87%	43.74%	1.37x	31.87%	43.74%
77	12.83		yes	2	39.05%	57.89%	1.48x	66.58%	77.92%
78	13.00			2	44.27%	62.41%	1.41x	64.60%	73.25%
79	13.17			2	40.48%	63.05%	1.56x	52.64%	64.35%
80	13.33			2	38.53%	58.82%	1.53x	43.50%	59.93%
81	13.50			2	35.00%	47.87%	1.37x	36.87%	48.67%
82	13.67			2	31.26%	37.70%	1.21x	31.75%	38.05%
83	13.83			2	25.37%	29.93%	1.18x	25.37%	29.93%
84	14.00			2	21.91%	26.35%	1.20x	22.50%	26.35%
85	14.17	yes	yes	2	21.81%	28.03%	1.29x	22.28%	28.42%
86	14.33	yes		2	21.30%	27.91%	1.31x	21.90%	28.21%
87	14.50	yes		2	21.34%	28.16%	1.32x	21.65%	28.33%
88	14.67	yes		2	21.72%	28.24%	1.30x	21.72%	28.28%
89	14.83	yes	yes	2	22.10%	29.10%	1.32x	22.10%	29.10%
90	15.00	yes		2	21.36%	26.26%	1.23x	21.36%	26.26%
91	15.17	yes	yes	2	19.02%	23.83%	1.25x	19.02%	23.83%
92	15.33	yes		2	18.18%	23.28%	1.28x	18.18%	23.28%
93	15.50	yes		2	17.57%	22.59%	1.29x	17.57%	22.59%
94	15.67	yes	yes	2	17.46%	21.96%	1.26x	17.62%	21.96%
95	15.83	yes		2	17.32%	22.04%	1.27x	17.32%	22.11%
96	16.00	yes		2	18.09%	22.09%	1.22x	18.17%	22.16%
97	16.17	yes	yes	2	18.01%	22.07%	1.23x	18.22%	22.21%
98	16.33	yes	yes	2	18.61%	23.60%	1.27x	18.85%	23.67%
99	16.50			2	15.37%	23.60%	1.54x	18.62%	23.67%
100	16.67			2	18.38%	23.68%	1.29x	18.69%	23.77%
101	16.83			2	18.75%	23.70%	1.26x	19.15%	23.77%
102	17.00			2	18.42%	23.87%	1.30x	18.98%	23.96%
103	17.17			2	18.63%	23.87%	1.28x	18.67%	23.96%
104	17.33			2	17.61%	23.96%	1.36x	17.99%	24.06%
105	17.50			2	21.97%	26.72%	1.22x	22.08%	26.95%
106	17.67			2	19.35%	24.44%	1.26x	19.61%	24.51%
107	17.83			2	21.68%	26.88%	1.24x	21.83%	26.94%
108	18.00			2	21.76%	27.45%	1.26x	21.81%	27.51%
109	18.17			2	21.09%	27.34%	1.30x	21.57%	27.93%
110	18.33			2	16.62%	25.95%	1.56x	18.24%	26.02%
111	18.50			2	16.08%	25.79%	1.60x	18.07%	25.86%
112	18.67			2	15.87%	25.23%	1.59x	18.39%	25.30%
113	18.83			2	16.21%	25.09%	1.55x	18.47%	25.14%
114	19.00			2	16.96%	25.29%	1.49x	19.04%	25.33%
115	19.17			2	17.35%	25.30%	1.46x	18.54%	25.33%
116	19.33			2	18.18%	25.39%	1.40x	18.34%	25.43%
117	19.50		yes	2	19.04%	25.40%	1.33x	19.13%	25.43%
118	19.67			2	20.07%	25.59%	1.27x	20.18%	25.73%
119	19.83			2	19.55%	25.21%	1.29x	20.10%	25.46%
120	20.00			2	19.69%	25.17%	1.28x	20.26%	25.46%
121	20.17			2	19.79%	24.97%	1.26x	20.10%	25.29%
122	20.33			2	18.90%	25.02%	1.32x	19.70%	25.26%
123	20.50			2	14.04%	24.56%	1.75x	19.22%	24.90%
124	20.67			2	18.36%	24.42%	1.33x	18.36%	24.61%
125	20.83			2	17.75%	23.81%	1.34x	17.75%	23.96%
126	21.00			2	17.37%	23.55%	1.36x	17.37%	23.70%
127	21.17			2	17.41%	23.38%	1.34x	17.52%	23.51%
128	21.33			2	17.22%	23.12%	1.34x	17.67%	23.26%
129	21.50			2	15.38%	24.46%	1.59x	17.44%	24.74%
130	21.67			2	15.86%	26.04%	1.64x	18.34%	26.83%
131	21.83			2	14.79%	27.46%	1.86x	18.26%	28.44%
132	22.00			2	12.79%	25.86%	2.02x	18.10%	27.85%
133	22.17			2	9.27%	23.07%	2.49x	16.92%	25.41%
134	22.33			2	8.86%	20.41%	2.30x	16.54%	22.99%
135	22.50			2	8.69%	18.78%	2.16x	16.66%	22.28%
136	22.67			2	8.22%	17.59%	2.14x	16.39%	21.94%
137	22.83		yes	2	8.43%	16.75%	1.99x	16.85%	21.84%

star -- QVQNK_b99ff7

What did the person do to the towel before putting down the clothes?

answer: Took.
objects: person wearing a plaid shirt and dark pants, light blue towel being held by the person
files: star_QVQNK_b99ff7.mp4 | star_QVQNK_b99ff7.csv

per-frame coverage, all 122 frames

frame	t (s)	evidence	asked	objects	orig coverage	new coverage	growth	orig single box	new single box
28	4.67		yes	1	0.56%	4.09%	7.26x	0.56%	4.09%
30	5.00			1	0.93%	5.94%	6.38x	0.93%	5.94%
31	5.17			1	0.80%	5.72%	7.16x	0.80%	5.72%
32	5.33			1	0.50%	4.74%	9.49x	0.50%	4.74%
36	6.00		yes	1	0.06%	16.34%	252.17x	0.06%	16.34%
37	6.17			1	0.21%	16.62%	78.90x	0.21%	16.62%
38	6.33			1	0.13%	16.75%	127.72x	0.13%	16.75%
39	6.50			1	0.31%	13.32%	43.27x	0.31%	13.32%
40	6.67			1	1.18%	9.75%	8.25x	1.18%	9.75%
41	6.83			1	2.66%	10.98%	4.13x	2.66%	10.98%
42	7.00			1	4.61%	11.72%	2.54x	4.61%	11.72%
43	7.17			1	5.13%	11.81%	2.30x	5.13%	11.81%
44	7.33			1	5.64%	10.86%	1.92x	5.64%	10.86%
45	7.50			1	6.06%	9.74%	1.61x	6.06%	9.74%
46	7.67			2	7.19%	29.30%	4.07x	62.92%	70.05%
47	7.83			2	7.89%	30.77%	3.90x	62.25%	69.18%
48	8.00			2	8.70%	32.52%	3.74x	63.97%	69.33%
49	8.17			2	9.58%	34.64%	3.62x	63.75%	70.82%
50	8.33			2	10.30%	36.27%	3.52x	62.33%	71.76%
51	8.50			2	10.02%	36.10%	3.60x	59.95%	70.01%
52	8.67			2	9.18%	35.26%	3.84x	60.88%	69.08%
53	8.83			2	11.40%	34.82%	3.05x	61.63%	68.41%
54	9.00			2	12.31%	35.62%	2.89x	60.56%	67.49%
55	9.17			2	16.33%	36.87%	2.26x	58.64%	65.26%
56	9.33			2	19.17%	38.12%	1.99x	55.92%	60.09%
57	9.50			2	18.42%	35.13%	1.91x	53.99%	57.70%
58	9.67			2	20.10%	36.84%	1.83x	51.06%	56.03%
59	9.83			2	19.08%	34.85%	1.83x	52.88%	56.10%
60	10.00			2	23.11%	37.58%	1.63x	53.26%	56.08%
61	10.17			2	16.53%	29.49%	1.78x	51.36%	54.19%
62	10.33			2	17.26%	30.04%	1.74x	52.94%	55.42%
63	10.50			2	28.16%	39.16%	1.39x	55.83%	58.54%
64	10.67			2	27.17%	39.41%	1.45x	53.98%	56.87%
65	10.83			2	19.54%	32.73%	1.67x	48.03%	50.83%
66	11.00			2	19.14%	32.28%	1.69x	46.15%	48.75%
67	11.17			2	19.77%	33.17%	1.68x	44.27%	47.00%
68	11.33			2	20.19%	32.40%	1.61x	41.48%	44.65%
69	11.50			2	17.11%	27.59%	1.61x	35.18%	38.79%
70	11.67			2	15.95%	27.44%	1.72x	32.42%	37.56%
71	11.83			2	15.75%	26.16%	1.66x	29.44%	33.83%
72	12.00			2	17.02%	25.06%	1.47x	27.71%	30.42%
73	12.17			2	14.98%	23.82%	1.59x	24.40%	26.88%
74	12.33		yes	2	13.98%	23.85%	1.71x	20.55%	25.42%
75	12.50			2	14.49%	24.67%	1.70x	20.76%	25.00%
76	12.67			2	14.47%	25.57%	1.77x	22.95%	28.12%
77	12.83			2	13.61%	26.00%	1.91x	23.45%	31.04%
78	13.00		yes	2	14.37%	26.31%	1.83x	24.91%	33.96%
79	13.17			2	16.18%	26.87%	1.66x	28.85%	33.96%
80	13.33			2	19.35%	27.28%	1.41x	28.44%	33.33%
81	13.50			2	19.73%	28.05%	1.42x	28.02%	32.92%
82	13.67			2	19.12%	28.12%	1.47x	26.98%	32.71%
83	13.83			2	19.41%	28.34%	1.46x	28.02%	33.12%
84	14.00			2	17.84%	27.31%	1.53x	25.53%	32.50%
85	14.17			2	12.77%	27.09%	2.12x	25.74%	31.67%
86	14.33			2	8.50%	27.02%	3.18x	28.63%	31.25%
87	14.50			2	15.82%	28.70%	1.81x	29.94%	33.54%
88	14.67			2	22.48%	32.53%	1.45x	34.83%	38.96%
89	14.83			2	20.92%	30.46%	1.46x	32.92%	36.67%
90	15.00			2	13.27%	28.81%	2.17x	30.86%	34.38%
91	15.17			2	20.36%	27.74%	1.36x	29.58%	32.92%
92	15.33			2	19.39%	27.31%	1.41x	28.91%	31.87%
93	15.50			2	18.62%	27.11%	1.46x	28.00%	30.83%
94	15.67			2	19.30%	27.74%	1.44x	28.31%	31.04%
95	15.83			2	19.72%	28.27%	1.43x	28.42%	31.04%
96	16.00			2	19.90%	27.02%	1.36x	26.68%	29.17%
97	16.17			2	19.79%	25.51%	1.29x	23.87%	27.29%
98	16.33	yes	yes	2	19.11%	25.36%	1.33x	21.79%	27.08%
99	16.50	yes		2	18.98%	25.45%	1.34x	19.30%	26.25%
100	16.67	yes		2	18.19%	25.41%	1.40x	19.51%	25.62%
101	16.83	yes		2	18.56%	25.92%	1.40x	20.34%	26.46%
102	17.00	yes		2	20.29%	26.89%	1.32x	21.59%	27.92%
103	17.17	yes		2	19.54%	27.83%	1.42x	20.96%	29.17%
104	17.33	yes		2	19.70%	28.99%	1.47x	21.22%	30.63%
105	17.50	yes		2	21.33%	29.98%	1.41x	22.70%	31.76%
106	17.67	yes		2	20.84%	31.35%	1.50x	23.95%	32.96%
107	17.83	yes		2	21.76%	32.31%	1.49x	23.89%	33.69%
108	18.00	yes	yes	2	23.59%	33.26%	1.41x	25.73%	34.84%
109	18.17	yes		2	23.88%	33.22%	1.39x	26.51%	34.71%
110	18.33	yes		2	23.48%	33.12%	1.41x	24.98%	34.44%
111	18.50	yes		2	25.77%	32.87%	1.28x	27.09%	33.98%
112	18.67	yes	yes	2	24.02%	32.61%	1.36x	27.83%	33.91%
113	18.83	yes		2	21.97%	28.87%	1.31x	24.65%	29.23%
114	19.00	yes	yes	2	21.50%	27.73%	1.29x	23.19%	29.01%
115	19.17	yes		2	26.47%	30.72%	1.16x	28.71%	31.11%
116	19.33	yes		2	18.18%	23.39%	1.29x	19.86%	23.83%
117	19.50	yes		2	16.82%	22.13%	1.32x	17.73%	22.17%
118	19.67	yes		2	15.95%	22.75%	1.43x	16.52%	22.89%
119	19.83	yes	yes	2	13.81%	22.91%	1.66x	15.64%	23.11%
120	20.00	yes		2	14.95%	23.70%	1.59x	16.29%	23.94%
121	20.17	yes		2	16.60%	24.90%	1.50x	17.09%	25.18%
122	20.33	yes		2	19.28%	27.50%	1.43x	19.87%	27.92%
123	20.50	yes		2	19.34%	28.43%	1.47x	21.01%	28.70%
124	20.67	yes		2	18.08%	26.61%	1.47x	18.41%	26.86%
125	20.83	yes		2	15.51%	26.60%	1.71x	16.50%	26.74%
126	21.00	yes		2	17.53%	27.29%	1.56x	18.08%	27.51%
127	21.17	yes		2	18.14%	27.73%	1.53x	18.50%	27.85%
128	21.33	yes		2	13.54%	27.84%	2.06x	13.54%	27.90%
129	21.50	yes	yes	2	14.44%	28.20%	1.95x	15.94%	28.20%
130	21.67			2	14.73%	27.62%	1.88x	16.02%	27.62%
131	21.83			2	14.46%	27.09%	1.87x	14.46%	27.09%
132	22.00			2	15.86%	29.21%	1.84x	19.91%	31.23%
133	22.17			2	16.09%	29.57%	1.84x	20.20%	32.09%
134	22.33			2	16.49%	29.74%	1.80x	20.57%	31.93%
135	22.50			2	17.72%	30.58%	1.73x	24.06%	33.84%
136	22.67			2	15.47%	27.08%	1.75x	19.35%	28.17%
137	22.83			2	15.64%	26.83%	1.72x	19.61%	28.73%
138	23.00			2	15.77%	26.85%	1.70x	19.97%	29.68%
139	23.17			2	15.97%	25.29%	1.58x	19.26%	26.84%
140	23.33			2	15.19%	23.35%	1.54x	16.11%	23.35%
141	23.50			1	13.11%	22.40%	1.71x	13.11%	22.40%
142	23.67			2	15.58%	22.73%	1.46x	20.12%	23.91%
143	23.83			2	19.17%	24.35%	1.27x	22.58%	25.23%
144	24.00			2	18.86%	23.72%	1.26x	20.40%	23.72%
145	24.17			2	16.80%	21.46%	1.28x	18.50%	21.46%
146	24.33			2	14.50%	19.53%	1.35x	16.94%	19.77%
147	24.50			2	12.74%	18.78%	1.47x	15.30%	19.20%
148	24.67		yes	2	10.85%	18.28%	1.68x	11.79%	19.02%
149	24.83			1	8.66%	15.79%	1.82x	8.66%	15.79%
150	25.00			1	2.06%	10.75%	5.22x	2.06%	10.75%
151	25.17			1	1.14%	7.75%	6.80x	1.14%	7.75%
152	25.33			1	0.38%	5.28%	14.08x	0.38%	5.28%
153	25.50		yes	1	0.14%	3.19%	22.93x	0.14%	3.19%

the growth range

One entry per growth bin, so the tail is visible too. Growth is heavy-tailed: a silhouette covering half a percent of the frame has to grow by an order of magnitude before it contains anything interpretable, which is what the last bins are.

clip	source	frames	objects	coverage orig	coverage new	growth	single box orig -> new	containment
video_4345_5dcc5d	pt	85	3	57.08%	66.46%	1.16x	59.72% -> 68.91%	100.0%
RYDUK_a4c584	star	128	1	36.43%	58.33%	1.60x	36.43% -> 58.33%	100.0%
video_4549_80072c	pt	68	1	1.60%	5.60%	3.49x	1.60% -> 5.60%	100.0%
video_4844_5a1a06	pt	132	2	1.74%	10.67%	6.14x	2.79% -> 11.76%	100.0%
Q7YXN_496bbf	star	150	1	0.32%	9.04%	28.51x	0.32% -> 9.04%	100.0%
video_9421_eb4189	pt	105	1	0.11%	28.19%	258.21x	0.11% -> 28.19%	100.0%

1x-1.25x -- video_4345_5dcc5d

What changed on the table while the camera was looking away?

answer: The silver knife and the green bowl have been removed.
objects: green bowl on the right side of the red tablecloth, silver knife next to the green bowl on the red tablecloth, red tablecloth with no bowl or knife on it
files: bin0_video_4345_5dcc5d.mp4 | bin0_video_4345_5dcc5d.csv

per-frame coverage, all 85 frames

frame	t (s)	evidence	asked	objects	orig coverage	new coverage	growth	orig single box	new single box
0	0.00	yes	yes	3	58.82%	64.52%	1.10x	62.16%	68.04%
1	0.17	yes		3	58.38%	64.64%	1.11x	61.63%	68.20%
2	0.33	yes		3	59.19%	64.82%	1.10x	62.56%	68.34%
3	0.50	yes		3	59.25%	64.90%	1.10x	62.72%	68.46%
4	0.67	yes		3	59.05%	66.06%	1.12x	62.57%	69.44%
5	0.83	yes		3	59.21%	66.57%	1.12x	62.69%	69.96%
6	1.00	yes		3	59.43%	66.85%	1.12x	62.89%	70.24%
7	1.17	yes		3	59.65%	66.26%	1.11x	63.15%	69.65%
8	1.33	yes		3	59.46%	65.75%	1.11x	62.85%	69.37%
9	1.50	yes		3	59.29%	65.82%	1.11x	62.71%	69.53%
10	1.67	yes	yes	3	59.56%	66.02%	1.11x	63.00%	69.74%
11	1.83	yes	yes	3	59.13%	64.72%	1.09x	62.31%	68.26%
12	2.00	yes		3	59.16%	64.81%	1.10x	62.32%	68.38%
13	2.17	yes		3	59.37%	64.81%	1.09x	62.80%	68.45%
14	2.33	yes		3	59.51%	64.90%	1.09x	62.87%	68.57%
15	2.50	yes		3	59.34%	65.07%	1.10x	62.68%	68.68%
16	2.67	yes		3	59.37%	65.15%	1.10x	62.87%	68.75%
17	2.83	yes		3	59.34%	65.30%	1.10x	62.81%	68.87%
18	3.00	yes		3	59.39%	65.38%	1.10x	62.90%	69.15%
19	3.17	yes		3	59.36%	65.67%	1.11x	62.68%	70.52%
20	3.33	yes	yes	3	59.31%	66.03%	1.11x	62.72%	71.90%
21	3.50	yes		3	59.31%	64.90%	1.09x	62.76%	68.50%
22	3.67	yes	yes	3	59.26%	64.39%	1.09x	62.74%	67.83%
23	3.83	yes		3	59.27%	64.77%	1.09x	62.63%	68.25%
24	4.00	yes		3	59.27%	65.13%	1.10x	62.59%	68.60%
25	4.17	yes		3	59.04%	65.54%	1.11x	62.33%	69.00%
26	4.33	yes		3	59.35%	65.93%	1.11x	62.72%	69.47%
27	4.50	yes		3	59.40%	66.29%	1.12x	62.88%	69.83%
28	4.67	yes	yes	3	58.89%	66.68%	1.13x	62.26%	70.25%
29	4.83	yes		3	53.56%	61.72%	1.15x	57.48%	65.63%
30	5.00	yes	yes	3	32.37%	40.50%	1.25x	37.40%	45.21%
85	14.17	yes		2	3.67%	66.84%	18.21x	29.82%	94.09%
86	14.33	yes		2	31.51%	62.43%	1.98x	77.84%	94.74%
87	14.50	yes	yes	2	41.57%	61.18%	1.47x	85.87%	95.00%
88	14.67	yes		1	58.07%	65.87%	1.13x	58.07%	65.87%
89	14.83	yes		1	61.50%	78.21%	1.27x	61.50%	78.21%
90	15.00	yes		1	61.79%	79.30%	1.28x	61.79%	79.30%
91	15.17	yes		1	60.41%	76.55%	1.27x	60.41%	76.55%
92	15.33	yes		1	58.15%	74.56%	1.28x	58.15%	74.56%
93	15.50	yes		1	57.31%	74.35%	1.30x	57.31%	74.35%
94	15.67	yes		1	58.12%	74.14%	1.28x	58.12%	74.14%
95	15.83	yes		1	59.07%	71.52%	1.21x	59.07%	71.52%
96	16.00	yes		1	59.20%	67.63%	1.14x	59.20%	67.63%
97	16.17	yes		1	58.45%	65.87%	1.13x	58.45%	65.87%
98	16.33	yes		1	57.73%	65.96%	1.14x	57.73%	65.96%
99	16.50	yes		1	57.85%	66.30%	1.15x	57.85%	66.30%
100	16.67	yes		1	58.74%	66.27%	1.13x	58.74%	66.27%
101	16.83	yes		1	58.55%	66.01%	1.13x	58.55%	66.01%
102	17.00	yes		1	58.95%	65.75%	1.12x	58.95%	65.75%
103	17.17	yes		1	58.87%	65.49%	1.11x	58.87%	65.49%
104	17.33	yes		1	58.99%	66.00%	1.12x	58.99%	66.00%
105	17.50	yes		1	58.37%	65.96%	1.13x	58.37%	65.96%
106	17.67	yes		1	57.90%	65.26%	1.13x	57.90%	65.26%
107	17.83	yes		1	57.36%	65.29%	1.14x	57.36%	65.29%
108	18.00	yes		1	57.19%	65.53%	1.15x	57.19%	65.53%
109	18.17	yes		1	57.94%	65.70%	1.13x	57.94%	65.70%
110	18.33	yes	yes	1	58.66%	66.05%	1.13x	58.66%	66.05%
111	18.50	yes		1	58.75%	66.05%	1.12x	58.75%	66.05%
112	18.67	yes		1	58.44%	66.02%	1.13x	58.44%	66.02%
113	18.83	yes		1	57.95%	66.14%	1.14x	57.95%	66.14%
114	19.00	yes		1	58.01%	66.14%	1.14x	58.01%	66.14%
115	19.17	yes		1	58.12%	66.18%	1.14x	58.12%	66.18%
116	19.33	yes		1	58.44%	66.25%	1.13x	58.44%	66.25%
117	19.50	yes		1	58.67%	66.30%	1.13x	58.67%	66.30%
118	19.67	yes		1	58.66%	66.48%	1.13x	58.66%	66.48%
119	19.83	yes		1	58.72%	66.27%	1.13x	58.72%	66.27%
120	20.00	yes		1	58.40%	66.60%	1.14x	58.40%	66.60%
121	20.17	yes		1	57.94%	66.65%	1.15x	57.94%	66.65%
122	20.33	yes		1	57.45%	66.57%	1.16x	57.45%	66.57%
123	20.50	yes		1	57.16%	66.65%	1.17x	57.16%	66.65%
124	20.67	yes		1	57.57%	66.61%	1.16x	57.57%	66.61%
125	20.83	yes		1	57.75%	66.70%	1.15x	57.75%	66.70%
126	21.00	yes		1	57.67%	67.24%	1.17x	57.67%	67.24%
127	21.17	yes		1	57.82%	67.04%	1.16x	57.82%	67.04%
128	21.33	yes		1	57.61%	66.92%	1.16x	57.61%	66.92%
129	21.50	yes		1	57.69%	67.04%	1.16x	57.69%	67.04%
130	21.67	yes		1	57.82%	67.35%	1.16x	57.82%	67.35%
131	21.83	yes		1	58.21%	67.67%	1.16x	58.21%	67.67%
132	22.00	yes		1	58.03%	68.20%	1.18x	58.03%	68.20%
133	22.17	yes		1	57.99%	68.65%	1.18x	57.99%	68.65%
134	22.33	yes		1	57.47%	68.23%	1.19x	57.47%	68.23%
135	22.50	yes		1	57.59%	67.98%	1.18x	57.59%	67.98%
136	22.67	yes		1	57.65%	68.81%	1.19x	57.65%	68.81%
137	22.83	yes		1	57.12%	67.07%	1.17x	57.12%	67.07%
138	23.00	yes	yes	1	57.08%	67.04%	1.17x	57.08%	67.04%

1.25x-2x -- RYDUK_a4c584

What happened before the person tidied up the closet/cabinet?

answer: Put down the clothes.
objects: person wearing a white shirt and changing into a purple shirt
files: bin1_RYDUK_a4c584.mp4 | bin1_RYDUK_a4c584.csv

per-frame coverage, all 128 frames

frame	t (s)	evidence	asked	objects	orig coverage	new coverage	growth	orig single box	new single box
0	0.00	yes	yes	1	30.96%	44.38%	1.43x	30.96%	44.38%
1	0.17	yes		1	32.41%	46.67%	1.44x	32.41%	46.67%
2	0.33	yes		1	32.41%	50.83%	1.57x	32.41%	50.83%
3	0.50	yes		1	32.62%	53.12%	1.63x	32.62%	53.12%
4	0.67	yes		1	30.55%	52.46%	1.72x	30.55%	52.46%
5	0.83	yes	yes	1	25.12%	53.86%	2.14x	25.12%	53.86%
6	1.00	yes		1	28.25%	55.14%	1.95x	28.25%	55.14%
7	1.17	yes		1	30.54%	56.41%	1.85x	30.54%	56.41%
8	1.33	yes		1	29.93%	57.65%	1.93x	29.93%	57.65%
9	1.50	yes		1	26.12%	58.88%	2.25x	26.12%	58.88%
10	1.67	yes		1	22.23%	60.26%	2.71x	22.23%	60.26%
11	1.83	yes	yes	1	22.17%	61.46%	2.77x	22.17%	61.46%
12	2.00	yes		1	28.72%	59.43%	2.07x	28.72%	59.43%
13	2.17	yes		1	31.41%	57.73%	1.84x	31.41%	57.73%
14	2.33	yes		1	33.53%	55.46%	1.65x	33.53%	55.46%
15	2.50	yes		1	38.75%	52.56%	1.36x	38.75%	52.56%
16	2.67	yes	yes	1	37.72%	49.31%	1.31x	37.72%	49.31%
17	2.83			1	38.30%	51.27%	1.34x	38.30%	51.27%
18	3.00			1	41.08%	49.42%	1.20x	41.08%	49.42%
19	3.17			1	38.95%	51.06%	1.31x	38.95%	51.06%
20	3.33			1	35.36%	54.41%	1.54x	35.36%	54.41%
21	3.50			1	30.83%	57.48%	1.86x	30.83%	57.48%
22	3.67			1	28.88%	59.24%	2.05x	28.88%	59.24%
23	3.83			1	31.75%	58.33%	1.84x	31.75%	58.33%
24	4.00			1	35.80%	58.15%	1.62x	35.80%	58.15%
25	4.17			1	42.84%	64.63%	1.51x	42.84%	64.63%
26	4.33			1	36.94%	60.31%	1.63x	36.94%	60.31%
27	4.50			1	32.25%	60.39%	1.87x	32.25%	60.39%
28	4.67			1	34.28%	62.50%	1.82x	34.28%	62.50%
29	4.83			1	38.02%	63.75%	1.68x	38.02%	63.75%
30	5.00			1	42.80%	62.92%	1.47x	42.80%	62.92%
31	5.17			1	43.84%	62.92%	1.44x	43.84%	62.92%
32	5.33			1	49.45%	66.46%	1.34x	49.45%	66.46%
33	5.50			1	40.10%	67.71%	1.69x	40.10%	67.71%
34	5.67			1	34.28%	62.29%	1.82x	34.28%	62.29%
35	5.83			1	39.27%	61.04%	1.55x	39.27%	61.04%
36	6.00			1	40.93%	67.50%	1.65x	40.93%	67.50%
37	6.17			1	43.84%	68.12%	1.55x	43.84%	68.12%
38	6.33			1	34.90%	58.83%	1.69x	34.90%	58.83%
39	6.50			1	29.84%	45.01%	1.51x	29.84%	45.01%
40	6.67			1	28.12%	44.06%	1.57x	28.12%	44.06%
41	6.83			1	24.69%	39.83%	1.61x	24.69%	39.83%
42	7.00		yes	1	25.83%	39.12%	1.51x	25.83%	39.12%
43	7.17			1	26.38%	39.61%	1.50x	26.38%	39.61%
44	7.33			1	28.24%	40.23%	1.42x	28.24%	40.23%
45	7.50			1	26.58%	40.73%	1.53x	26.58%	40.73%
46	7.67			1	25.93%	41.41%	1.60x	25.93%	41.41%
47	7.83			1	25.04%	41.91%	1.67x	25.04%	41.91%
48	8.00			1	26.98%	43.70%	1.62x	26.98%	43.70%
49	8.17			1	31.48%	42.91%	1.36x	31.48%	42.91%
50	8.33			1	32.45%	45.61%	1.41x	32.45%	45.61%
51	8.50			1	32.39%	50.25%	1.55x	32.39%	50.25%
52	8.67			1	27.94%	50.59%	1.81x	27.94%	50.59%
53	8.83			1	30.90%	57.16%	1.85x	30.90%	57.16%
54	9.00			1	35.84%	62.83%	1.75x	35.84%	62.83%
55	9.17			1	39.96%	64.35%	1.61x	39.96%	64.35%
56	9.33			1	42.16%	62.83%	1.49x	42.16%	62.83%
57	9.50			1	46.75%	63.40%	1.36x	46.75%	63.40%
58	9.67			1	47.14%	64.91%	1.38x	47.14%	64.91%
59	9.83			1	45.85%	64.74%	1.41x	45.85%	64.74%
60	10.00			1	41.09%	63.54%	1.55x	41.09%	63.54%
61	10.17			1	38.02%	66.25%	1.74x	38.02%	66.25%
62	10.33			1	35.73%	63.96%	1.79x	35.73%	63.96%
63	10.50			1	30.12%	63.33%	2.10x	30.12%	63.33%
64	10.67			1	29.92%	63.54%	2.12x	29.92%	63.54%
65	10.83			1	29.92%	64.79%	2.17x	29.92%	64.79%
66	11.00			1	27.27%	59.92%	2.20x	27.27%	59.92%
67	11.17			1	27.88%	59.35%	2.13x	27.88%	59.35%
68	11.33			1	25.76%	60.12%	2.33x	25.76%	60.12%
69	11.50			1	34.38%	60.69%	1.77x	34.38%	60.69%
70	11.67			1	35.02%	59.87%	1.71x	35.02%	59.87%
71	11.83			1	34.43%	59.64%	1.73x	34.43%	59.64%
72	12.00			1	27.79%	59.21%	2.13x	27.79%	59.21%
73	12.17			1	34.33%	59.14%	1.72x	34.33%	59.14%
74	12.33			1	33.54%	58.30%	1.74x	33.54%	58.30%
75	12.50			1	34.46%	58.26%	1.69x	34.46%	58.26%
76	12.67			1	24.63%	58.83%	2.39x	24.63%	58.83%
77	12.83			1	25.10%	59.41%	2.37x	25.10%	59.41%
78	13.00			1	32.18%	59.99%	1.86x	32.18%	59.99%
79	13.17			1	44.21%	63.63%	1.44x	44.21%	63.63%
80	13.33			1	50.68%	70.03%	1.38x	50.68%	70.03%
81	13.50			1	52.08%	70.64%	1.36x	52.08%	70.64%
82	13.67			1	51.24%	65.21%	1.27x	51.24%	65.21%
83	13.83			1	61.47%	70.62%	1.15x	61.47%	70.62%
84	14.00			1	45.79%	63.33%	1.38x	45.79%	63.33%
85	14.17		yes	1	46.02%	62.92%	1.37x	46.02%	62.92%
86	14.33			1	44.74%	63.33%	1.42x	44.74%	63.33%
87	14.50			1	42.49%	63.37%	1.49x	42.49%	63.37%
88	14.67			1	68.06%	71.08%	1.04x	68.06%	71.08%
89	14.83			1	73.75%	75.21%	1.02x	73.75%	75.21%
90	15.00			1	60.54%	65.61%	1.08x	60.54%	65.61%
91	15.17			1	73.42%	81.80%	1.11x	73.42%	81.80%
92	15.33			1	38.39%	62.07%	1.62x	38.39%	62.07%
93	15.50			1	33.10%	62.11%	1.88x	33.10%	62.11%
94	15.67			1	69.23%	81.70%	1.18x	69.23%	81.70%
95	15.83			1	73.70%	85.93%	1.17x	73.70%	85.93%
96	16.00			1	49.85%	61.83%	1.24x	49.85%	61.83%
97	16.17			1	26.30%	61.08%	2.32x	26.30%	61.08%
98	16.33			1	32.78%	60.72%	1.85x	32.78%	60.72%
99	16.50			1	32.05%	60.55%	1.89x	32.05%	60.55%
100	16.67			1	30.18%	60.37%	2.00x	30.18%	60.37%
101	16.83			1	31.25%	60.19%	1.93x	31.25%	60.19%
102	17.00			1	32.78%	59.82%	1.82x	32.78%	59.82%
103	17.17			1	32.74%	59.63%	1.82x	32.74%	59.63%
104	17.33			1	31.94%	59.25%	1.86x	31.94%	59.25%
105	17.50			1	31.68%	59.06%	1.86x	31.68%	59.06%
106	17.67			1	33.44%	58.67%	1.75x	33.44%	58.67%
107	17.83			1	34.06%	58.65%	1.72x	34.06%	58.65%
108	18.00			1	33.66%	58.26%	1.73x	33.66%	58.26%
109	18.17			1	35.58%	58.06%	1.63x	35.58%	58.06%
110	18.33			1	35.45%	57.66%	1.63x	35.45%	57.66%
111	18.50			1	36.02%	57.45%	1.59x	36.02%	57.45%
112	18.67			1	35.65%	57.04%	1.60x	35.65%	57.04%
113	18.83			1	35.53%	56.83%	1.60x	35.53%	56.83%
114	19.00			1	35.12%	56.78%	1.62x	35.12%	56.78%
115	19.17			1	34.17%	56.36%	1.65x	34.17%	56.36%
116	19.33			1	32.87%	56.14%	1.71x	32.87%	56.14%
117	19.50			1	34.56%	55.72%	1.61x	34.56%	55.72%
118	19.67			1	35.45%	55.49%	1.57x	35.45%	55.49%
119	19.83			1	34.30%	55.06%	1.61x	34.30%	55.06%
120	20.00			1	33.28%	54.82%	1.65x	33.28%	54.82%
121	20.17			1	33.44%	54.55%	1.63x	33.44%	54.55%
122	20.33			1	34.43%	54.31%	1.58x	34.43%	54.31%
123	20.50			1	36.01%	53.86%	1.50x	36.01%	53.86%
124	20.67			1	34.59%	53.62%	1.55x	34.59%	53.62%
125	20.83			1	34.85%	53.17%	1.53x	34.85%	53.17%
126	21.00			1	39.70%	52.92%	1.33x	39.70%	52.92%
127	21.17		yes	1	40.31%	52.46%	1.30x	40.31%	52.46%

2x-5x -- video_4549_80072c

What changed on the table while the camera was looking away?

answer: Nothing changed visibly on the table while the camera was looking away.
objects: white plastic cup stacked upside-down on the table
files: bin2_video_4549_80072c.mp4 | bin2_video_4549_80072c.csv

per-frame coverage, all 68 frames

frame	t (s)	evidence	asked	objects	orig coverage	new coverage	growth	orig single box	new single box
0	0.00	yes	yes	1	1.56%	5.13%	3.30x	1.56%	5.13%
1	0.17	yes		1	1.55%	5.06%	3.27x	1.55%	5.06%
2	0.33	yes		1	1.56%	5.01%	3.22x	1.56%	5.01%
3	0.50	yes		1	1.54%	4.92%	3.20x	1.54%	4.92%
4	0.67	yes		1	1.56%	4.85%	3.12x	1.56%	4.85%
5	0.83	yes		1	1.54%	4.81%	3.12x	1.54%	4.81%
6	1.00	yes		1	1.57%	4.76%	3.04x	1.57%	4.76%
7	1.17	yes		1	1.56%	4.67%	3.00x	1.56%	4.67%
8	1.33	yes		1	1.54%	4.63%	3.00x	1.54%	4.63%
9	1.50	yes		1	1.56%	4.56%	2.93x	1.56%	4.56%
10	1.67	yes		1	1.56%	4.52%	2.90x	1.56%	4.52%
11	1.83	yes		1	1.57%	4.43%	2.81x	1.57%	4.43%
12	2.00	yes		1	1.56%	4.38%	2.82x	1.56%	4.38%
13	2.17	yes		1	1.57%	4.32%	2.74x	1.57%	4.32%
14	2.33	yes		1	1.56%	4.27%	2.75x	1.56%	4.27%
15	2.50	yes		1	1.56%	4.19%	2.69x	1.56%	4.19%
16	2.67	yes		1	1.56%	4.12%	2.65x	1.56%	4.12%
17	2.83	yes		1	1.56%	4.08%	2.62x	1.56%	4.08%
18	3.00	yes		1	1.56%	4.01%	2.58x	1.56%	4.01%
19	3.17	yes		1	1.56%	3.95%	2.54x	1.56%	3.95%
20	3.33	yes		1	1.54%	3.91%	2.54x	1.54%	3.91%
21	3.50	yes		1	1.54%	3.85%	2.50x	1.54%	3.85%
22	3.67	yes	yes	1	1.54%	3.78%	2.46x	1.54%	3.78%
23	3.83	yes		1	1.57%	3.76%	2.40x	1.57%	3.76%
24	4.00	yes		1	1.57%	3.76%	2.40x	1.57%	3.76%
25	4.17	yes		1	1.56%	3.78%	2.43x	1.56%	3.78%
26	4.33	yes		1	1.53%	3.76%	2.46x	1.53%	3.76%
27	4.50	yes		1	1.57%	3.76%	2.40x	1.57%	3.76%
28	4.67	yes		1	1.56%	3.76%	2.42x	1.56%	3.76%
29	4.83	yes		1	1.62%	3.72%	2.29x	1.62%	3.72%
30	5.00	yes		1	2.37%	8.87%	3.74x	2.37%	8.87%
31	5.17			1	1.49%	36.18%	24.22x	1.49%	36.18%
61	10.17	yes		1	2.53%	29.70%	11.75x	2.53%	29.70%
62	10.33	yes		1	2.32%	18.17%	7.82x	2.32%	18.17%
63	10.50	yes		1	2.00%	11.14%	5.57x	2.00%	11.14%
64	10.67	yes		1	1.75%	8.27%	4.73x	1.75%	8.27%
65	10.83	yes		1	1.64%	6.98%	4.26x	1.64%	6.98%
66	11.00	yes		1	1.60%	6.11%	3.83x	1.60%	6.11%
67	11.17	yes		1	1.61%	5.14%	3.19x	1.61%	5.14%
68	11.33	yes		1	1.57%	4.32%	2.74x	1.57%	4.32%
69	11.50	yes		1	1.56%	3.92%	2.51x	1.56%	3.92%
70	11.67	yes		1	1.57%	3.70%	2.36x	1.57%	3.70%
71	11.83	yes		1	1.57%	3.62%	2.30x	1.57%	3.62%
72	12.00	yes		1	1.51%	3.62%	2.39x	1.51%	3.62%
73	12.17	yes	yes	1	1.57%	3.60%	2.29x	1.57%	3.60%
74	12.33	yes	yes	1	1.56%	4.25%	2.72x	1.56%	4.25%
75	12.50	yes		1	1.53%	4.25%	2.79x	1.53%	4.25%
76	12.67	yes		1	1.58%	4.25%	2.68x	1.58%	4.25%
77	12.83	yes		1	1.54%	4.25%	2.76x	1.54%	4.25%
78	13.00	yes		1	1.52%	4.25%	2.79x	1.52%	4.25%
79	13.17	yes		1	1.51%	4.25%	2.82x	1.51%	4.25%
80	13.33	yes		1	1.52%	4.25%	2.79x	1.52%	4.25%
81	13.50	yes		1	1.56%	4.25%	2.73x	1.56%	4.25%
82	13.67	yes		1	1.57%	4.25%	2.70x	1.57%	4.25%
83	13.83	yes		1	1.57%	4.25%	2.70x	1.57%	4.25%
84	14.00	yes		1	1.56%	4.25%	2.73x	1.56%	4.25%
85	14.17	yes		1	1.56%	4.25%	2.73x	1.56%	4.25%
86	14.33	yes		1	1.57%	4.25%	2.70x	1.57%	4.25%
87	14.50	yes		1	1.56%	4.25%	2.73x	1.56%	4.25%
88	14.67	yes		1	1.57%	4.25%	2.70x	1.57%	4.25%
89	14.83	yes		1	1.57%	4.25%	2.71x	1.57%	4.25%
90	15.00	yes		1	1.54%	4.25%	2.77x	1.54%	4.25%
91	15.17	yes		1	1.55%	4.25%	2.75x	1.55%	4.25%
92	15.33	yes		1	1.57%	4.25%	2.70x	1.57%	4.25%
93	15.50	yes		1	1.57%	4.25%	2.70x	1.57%	4.25%
94	15.67	yes		1	1.57%	4.25%	2.70x	1.57%	4.25%
95	15.83	yes	yes	1	1.56%	4.25%	2.72x	1.56%	4.25%
96	16.00		yes	1	1.49%	5.11%	3.43x	1.49%	5.11%

5x-20x -- video_4844_5a1a06

Is the number of written letters equal to the number of letters put on the table?

answer: Yes
objects: handwritten letters 'P I G' on lined paper, three white paper cutout letters 'L E T' placed on the table
files: bin3_video_4844_5a1a06.mp4 | bin3_video_4844_5a1a06.csv

per-frame coverage, all 132 frames

frame	t (s)	evidence	asked	objects	orig coverage	new coverage	growth	orig single box	new single box
0	0.00		yes	1	0.44%	10.67%	24.25x	0.44%	10.67%
1	0.17			1	0.47%	10.80%	23.06x	0.47%	10.80%
2	0.33			1	0.48%	10.93%	22.79x	0.48%	10.93%
3	0.50			1	0.55%	11.04%	20.24x	0.55%	11.04%
4	0.67			1	0.59%	11.19%	19.01x	0.59%	11.19%
5	0.83			1	0.40%	11.31%	28.46x	0.40%	11.31%
6	1.00			1	0.58%	11.47%	19.91x	0.58%	11.47%
7	1.17			1	0.52%	11.60%	22.24x	0.52%	11.60%
8	1.33			1	0.29%	11.72%	41.03x	0.29%	11.72%
9	1.50			1	0.30%	11.84%	39.20x	0.30%	11.84%
10	1.67			1	0.52%	12.00%	23.27x	0.52%	12.00%
11	1.83			1	0.50%	12.13%	24.48x	0.50%	12.13%
12	2.00			1	0.44%	12.26%	27.73x	0.44%	12.26%
13	2.17			1	0.46%	12.35%	26.73x	0.46%	12.35%
14	2.33			1	0.47%	12.51%	26.89x	0.47%	12.51%
15	2.50			1	0.59%	12.64%	21.50x	0.59%	12.64%
16	2.67			1	0.43%	12.80%	30.07x	0.43%	12.80%
17	2.83			1	0.52%	12.93%	24.98x	0.52%	12.93%
18	3.00			1	0.59%	13.08%	22.00x	0.59%	13.08%
19	3.17	yes	yes	1	0.63%	13.19%	20.78x	0.63%	13.19%
20	3.33	yes		1	0.59%	12.64%	21.47x	0.59%	12.64%
21	3.50	yes		1	0.43%	12.12%	28.18x	0.43%	12.12%
22	3.67	yes		1	0.47%	11.65%	24.58x	0.47%	11.65%
23	3.83	yes		1	0.52%	11.13%	21.44x	0.52%	11.13%
24	4.00	yes		1	0.52%	10.63%	20.58x	0.52%	10.63%
25	4.17	yes		1	0.32%	10.15%	31.31x	0.32%	10.15%
26	4.33	yes		1	0.59%	9.70%	16.53x	0.59%	9.70%
27	4.50	yes		1	0.41%	9.23%	22.78x	0.41%	9.23%
28	4.67	yes		1	0.47%	8.79%	18.52x	0.47%	8.79%
29	4.83	yes		1	0.43%	8.36%	19.62x	0.43%	8.36%
30	5.00	yes		1	0.43%	7.95%	18.39x	0.43%	7.95%
31	5.17	yes		1	0.33%	7.52%	22.97x	0.33%	7.52%
32	5.33	yes		1	0.36%	7.12%	19.74x	0.36%	7.12%
33	5.50	yes		1	0.62%	6.74%	10.96x	0.62%	6.74%
34	5.67	yes		1	0.52%	6.37%	12.22x	0.52%	6.37%
35	5.83	yes		1	0.64%	5.99%	9.31x	0.64%	5.99%
36	6.00	yes		1	0.65%	5.63%	8.65x	0.65%	5.63%
37	6.17	yes		1	0.58%	5.27%	9.11x	0.58%	5.27%
38	6.33	yes		1	0.60%	4.94%	8.24x	0.60%	4.94%
39	6.50	yes		1	0.60%	4.63%	7.77x	0.60%	4.63%
40	6.67	yes		1	0.54%	4.31%	7.99x	0.54%	4.31%
41	6.83	yes	yes	1	0.53%	4.00%	7.51x	0.53%	4.00%
42	7.00	yes		1	0.50%	6.45%	12.86x	0.50%	6.45%
43	7.17	yes		1	0.53%	9.50%	17.92x	0.53%	9.50%
44	7.33	yes	yes	1	0.68%	13.06%	19.19x	0.68%	13.06%
45	7.50	yes		1	0.77%	12.76%	16.48x	0.77%	12.76%
46	7.67	yes		1	0.86%	12.50%	14.52x	0.86%	12.50%
47	7.83	yes		1	0.80%	12.22%	15.26x	0.80%	12.22%
48	8.00	yes		1	0.84%	11.96%	14.32x	0.84%	11.96%
49	8.17	yes		1	0.70%	11.70%	16.74x	0.70%	11.70%
50	8.33	yes		1	0.72%	11.42%	15.95x	0.72%	11.42%
51	8.50	yes		1	0.83%	11.15%	13.44x	0.83%	11.15%
52	8.67			1	0.85%	10.86%	12.80x	0.85%	10.86%
53	8.83			1	0.91%	10.61%	11.70x	0.91%	10.61%
54	9.00			1	0.85%	10.37%	12.15x	0.85%	10.37%
55	9.17			1	1.00%	10.10%	10.07x	1.00%	10.10%
56	9.33			1	0.83%	9.88%	11.94x	0.83%	9.88%
57	9.50			1	1.66%	10.85%	6.52x	1.66%	10.85%
58	9.67			1	1.80%	11.83%	6.57x	1.80%	11.83%
59	9.83			1	3.31%	13.76%	4.16x	3.31%	13.76%
60	10.00			1	5.22%	16.27%	3.11x	5.22%	16.27%
61	10.17			1	5.90%	16.80%	2.85x	5.90%	16.80%
62	10.33			1	6.70%	18.31%	2.73x	6.70%	18.31%
63	10.50			1	6.49%	16.50%	2.54x	6.49%	16.50%
64	10.67			1	7.13%	16.58%	2.32x	7.13%	16.58%
65	10.83			1	7.44%	14.95%	2.01x	7.44%	14.95%
66	11.00			1	8.22%	15.20%	1.85x	8.22%	15.20%
67	11.17			1	6.06%	16.32%	2.69x	6.06%	16.32%
68	11.33			1	5.49%	18.45%	3.36x	5.49%	18.45%
69	11.50			1	7.43%	20.98%	2.82x	7.43%	20.98%
70	11.67			1	10.88%	21.96%	2.02x	10.88%	21.96%
71	11.83			1	14.98%	29.53%	1.97x	14.98%	29.53%
72	12.00			1	16.26%	32.16%	1.98x	16.26%	32.16%
73	12.17			1	15.80%	27.47%	1.74x	15.80%	27.47%
74	12.33			1	5.84%	10.05%	1.72x	5.84%	10.05%
75	12.50			1	2.91%	7.50%	2.57x	2.91%	7.50%
76	12.67			1	1.80%	7.63%	4.24x	1.80%	7.63%
77	12.83			1	1.43%	6.75%	4.74x	1.43%	6.75%
78	13.00			1	0.62%	5.17%	8.38x	0.62%	5.17%
79	13.17			1	0.73%	4.98%	6.84x	0.73%	4.98%
80	13.33			1	0.66%	4.80%	7.26x	0.66%	4.80%
81	13.50			1	0.62%	4.66%	7.49x	0.62%	4.66%
82	13.67			1	0.58%	4.48%	7.66x	0.58%	4.48%
83	13.83			1	0.81%	4.31%	5.29x	0.81%	4.31%
84	14.00			1	0.70%	4.14%	5.87x	0.70%	4.14%
85	14.17			1	0.67%	3.98%	5.93x	0.67%	3.98%
86	14.33			1	0.58%	3.83%	6.59x	0.58%	3.83%
87	14.50		yes	1	0.71%	3.67%	5.20x	0.71%	3.67%
88	14.67			1	0.78%	3.79%	4.88x	0.78%	3.79%
89	14.83			1	0.76%	3.90%	5.15x	0.76%	3.90%
90	15.00			1	0.72%	4.03%	5.61x	0.72%	4.03%
91	15.17			1	0.60%	4.15%	6.93x	0.60%	4.15%
92	15.33			1	0.64%	4.28%	6.65x	0.64%	4.28%
93	15.50			1	0.59%	4.39%	7.39x	0.59%	4.39%
94	15.67		yes	2	1.42%	8.79%	6.21x	5.35%	10.93%
95	15.83			2	1.40%	9.95%	7.10x	5.11%	12.56%
96	16.00	yes	yes	2	1.05%	9.98%	9.50x	4.14%	12.61%
97	16.17	yes		2	0.70%	9.73%	13.89x	3.39%	12.52%
98	16.33	yes		2	1.10%	9.48%	8.60x	4.87%	12.45%
99	16.50	yes		2	1.18%	9.24%	7.86x	5.05%	12.37%
100	16.67	yes		2	1.26%	8.99%	7.16x	5.01%	12.31%
101	16.83	yes		2	1.23%	8.74%	7.08x	5.08%	12.26%
102	17.00	yes		2	1.25%	8.46%	6.74x	5.22%	12.19%
103	17.17	yes		2	1.18%	8.20%	6.92x	4.84%	12.12%
104	17.33	yes		2	1.19%	7.92%	6.66x	4.72%	12.05%
105	17.50	yes		2	1.12%	7.63%	6.78x	4.92%	11.97%
106	17.67	yes	yes	2	1.09%	7.31%	6.69x	4.99%	11.88%
107	17.83	yes	yes	2	1.13%	5.75%	5.07x	5.00%	10.62%
108	18.00	yes	yes	2	1.25%	11.66%	9.29x	4.89%	17.55%
109	18.17	yes		2	1.16%	11.77%	10.14x	4.88%	17.44%
110	18.33	yes		2	1.06%	11.89%	11.24x	4.80%	17.25%
111	18.50	yes		2	1.04%	11.92%	11.48x	4.79%	17.06%
112	18.67	yes		2	1.01%	11.91%	11.82x	4.74%	16.85%
113	18.83	yes		2	1.16%	11.73%	10.11x	4.80%	16.63%
114	19.00	yes		2	1.22%	11.69%	9.58x	4.96%	16.37%
115	19.17	yes		2	1.23%	11.77%	9.57x	4.88%	16.15%
116	19.33	yes		2	1.18%	11.80%	9.96x	4.68%	15.91%
117	19.50	yes		2	1.16%	11.86%	10.26x	4.63%	15.67%
118	19.67	yes		2	1.12%	11.88%	10.64x	4.66%	15.42%
119	19.83	yes	yes	2	1.22%	11.89%	9.78x	5.15%	15.10%
120	20.00	yes		2	1.11%	11.97%	10.78x	4.87%	15.17%
121	20.17	yes		2	1.14%	12.10%	10.65x	4.81%	15.31%
122	20.33	yes		2	1.14%	12.16%	10.64x	4.77%	15.40%
123	20.50	yes		2	1.17%	12.39%	10.55x	5.00%	15.75%
124	20.67	yes		2	1.10%	12.43%	11.29x	4.88%	15.72%
125	20.83	yes		2	0.94%	12.54%	13.34x	4.91%	15.74%
126	21.00	yes		2	0.68%	12.70%	18.66x	4.15%	15.85%
127	21.17	yes		2	0.79%	12.77%	16.21x	3.53%	15.98%
128	21.33	yes		2	1.25%	12.86%	10.29x	4.93%	16.10%
129	21.50	yes		2	1.24%	12.97%	10.49x	5.00%	16.19%
130	21.67	yes	yes	2	1.27%	13.10%	10.34x	5.00%	16.31%
131	21.83		yes	2	1.26%	12.68%	10.10x	4.97%	15.81%

20x-100x -- Q7YXN_496bbf

Which object did the person put down after they washed the clothes?

answer: The broom.
objects: long wooden broom being held and moved by the person
files: bin4_Q7YXN_496bbf.mp4 | bin4_Q7YXN_496bbf.csv

per-frame coverage, all 150 frames

frame	t (s)	evidence	asked	objects	orig coverage	new coverage	growth	orig single box	new single box
0	0.00	yes	yes	1	0.39%	8.97%	23.07x	0.39%	8.97%
1	0.17	yes		1	0.37%	8.85%	23.71x	0.37%	8.85%
2	0.33	yes		1	0.41%	8.67%	21.41x	0.41%	8.67%
3	0.50	yes		1	0.40%	8.83%	22.02x	0.40%	8.83%
4	0.67	yes		1	0.35%	8.75%	25.20x	0.35%	8.75%
5	0.83	yes		1	0.37%	8.55%	23.09x	0.37%	8.55%
6	1.00	yes		1	0.37%	8.58%	23.17x	0.37%	8.58%
7	1.17	yes		1	0.31%	8.33%	26.98x	0.31%	8.33%
8	1.33	yes		1	0.28%	8.07%	29.29x	0.28%	8.07%
9	1.50	yes		1	0.28%	7.94%	28.59x	0.28%	7.94%
10	1.67	yes	yes	1	0.22%	7.65%	34.30x	0.22%	7.65%
11	1.83	yes		1	0.28%	8.53%	30.61x	0.28%	8.53%
12	2.00	yes		1	0.26%	9.50%	36.21x	0.26%	9.50%
13	2.17	yes		1	0.28%	10.35%	36.46x	0.28%	10.35%
14	2.33	yes		1	0.25%	11.21%	45.41x	0.25%	11.21%
15	2.50	yes		1	0.19%	12.08%	65.25x	0.19%	12.08%
16	2.67	yes		1	0.23%	12.96%	57.14x	0.23%	12.96%
17	2.83	yes		1	0.37%	13.85%	37.79x	0.37%	13.85%
18	3.00	yes		1	0.41%	14.83%	36.41x	0.41%	14.83%
19	3.17	yes		1	0.46%	15.75%	34.12x	0.46%	15.75%
20	3.33	yes	yes	1	0.54%	16.57%	30.60x	0.54%	16.57%
21	3.50	yes		1	0.44%	15.69%	35.37x	0.44%	15.69%
22	3.67	yes		1	0.54%	14.58%	26.92x	0.54%	14.58%
23	3.83	yes		1	0.42%	13.47%	31.75x	0.42%	13.47%
24	4.00	yes		1	0.48%	12.36%	25.67x	0.48%	12.36%
25	4.17	yes		1	0.35%	11.31%	32.15x	0.35%	11.31%
26	4.33	yes		1	0.30%	10.28%	34.07x	0.30%	10.28%
27	4.50	yes		1	0.35%	9.36%	26.36x	0.35%	9.36%
28	4.67	yes		1	0.22%	8.24%	37.08x	0.22%	8.24%
29	4.83	yes		1	0.15%	7.08%	46.36x	0.15%	7.08%
30	5.00	yes	yes	1	0.08%	6.01%	76.30x	0.08%	6.01%
44	7.33			1	0.20%	6.55%	32.15x	0.20%	6.55%
45	7.50			1	0.37%	6.15%	16.47x	0.37%	6.15%
46	7.67			1	0.41%	5.19%	12.74x	0.41%	5.19%
47	7.83			1	0.50%	4.37%	8.71x	0.50%	4.37%
48	8.00			1	0.52%	4.29%	8.24x	0.52%	4.29%
49	8.17			1	0.52%	4.21%	8.09x	0.52%	4.21%
50	8.33			1	0.54%	4.12%	7.64x	0.54%	4.12%
51	8.50			1	0.54%	4.03%	7.44x	0.54%	4.03%
52	8.67			1	0.48%	3.79%	7.91x	0.48%	3.79%
53	8.83			1	0.52%	3.62%	6.99x	0.52%	3.62%
54	9.00			1	0.51%	3.46%	6.72x	0.51%	3.46%
55	9.17			1	0.60%	3.80%	6.30x	0.60%	3.80%
56	9.33			1	0.52%	3.73%	7.20x	0.52%	3.73%
57	9.50			1	0.44%	3.50%	8.00x	0.44%	3.50%
58	9.67			1	0.43%	3.11%	7.19x	0.43%	3.11%
59	9.83			1	0.50%	2.77%	5.58x	0.50%	2.77%
60	10.00			1	0.41%	2.55%	6.21x	0.41%	2.55%
61	10.17			1	0.62%	2.46%	3.94x	0.62%	2.46%
62	10.33			1	0.44%	2.23%	5.10x	0.44%	2.23%
63	10.50		yes	1	0.40%	2.05%	5.18x	0.40%	2.05%
64	10.67			1	0.33%	2.18%	6.53x	0.33%	2.18%
65	10.83			1	0.20%	2.26%	11.44x	0.20%	2.26%
66	11.00			1	0.32%	2.44%	7.56x	0.32%	2.44%
67	11.17			1	0.51%	2.67%	5.19x	0.51%	2.67%
68	11.33			1	0.31%	2.72%	8.82x	0.31%	2.72%
69	11.50			1	0.28%	2.81%	10.11x	0.28%	2.81%
70	11.67			1	0.58%	3.15%	5.41x	0.58%	3.15%
71	11.83			1	0.46%	3.25%	7.03x	0.46%	3.25%
72	12.00			1	0.42%	3.41%	8.03x	0.42%	3.41%
73	12.17			1	0.44%	3.56%	8.03x	0.44%	3.56%
74	12.33			1	0.52%	3.83%	7.36x	0.52%	3.83%
75	12.50			1	0.42%	3.94%	9.29x	0.42%	3.94%
76	12.67			1	0.29%	4.17%	14.22x	0.29%	4.17%
77	12.83			1	0.26%	4.34%	16.54x	0.26%	4.34%
78	13.00			1	0.52%	4.69%	9.01x	0.52%	4.69%
79	13.17			1	0.50%	4.93%	9.86x	0.50%	4.93%
80	13.33			1	0.46%	5.06%	10.92x	0.46%	5.06%
81	13.50			1	0.52%	5.55%	10.70x	0.52%	5.55%
82	13.67			1	0.44%	5.68%	12.80x	0.44%	5.68%
83	13.83			1	0.44%	6.06%	13.74x	0.44%	6.06%
84	14.00			1	0.44%	6.45%	14.75x	0.44%	6.45%
85	14.17			1	0.48%	6.79%	14.28x	0.48%	6.79%
86	14.33			1	0.44%	7.00%	15.86x	0.44%	7.00%
87	14.50			1	0.44%	7.21%	16.26x	0.44%	7.21%
88	14.67			1	0.44%	7.43%	16.75x	0.44%	7.43%
89	14.83			1	0.39%	7.72%	20.01x	0.39%	7.72%
90	15.00			1	0.42%	8.08%	19.39x	0.42%	8.08%
91	15.17			1	0.41%	8.38%	20.41x	0.41%	8.38%
92	15.33			1	0.34%	8.54%	25.05x	0.34%	8.54%
93	15.50			1	0.31%	8.92%	28.54x	0.31%	8.92%
94	15.67			1	0.27%	9.62%	35.81x	0.27%	9.62%
95	15.83			1	0.34%	9.94%	29.14x	0.34%	9.94%
96	16.00			1	0.21%	10.26%	48.19x	0.21%	10.26%
97	16.17			1	0.23%	10.67%	47.02x	0.23%	10.67%
98	16.33			1	0.23%	10.93%	48.17x	0.23%	10.93%
99	16.50			1	0.26%	11.19%	43.17x	0.26%	11.19%
100	16.67			1	0.38%	11.57%	30.86x	0.38%	11.57%
101	16.83			1	0.37%	11.53%	31.40x	0.37%	11.53%
102	17.00			1	0.25%	11.65%	46.59x	0.25%	11.65%
103	17.17			1	0.36%	12.16%	33.89x	0.36%	12.16%
104	17.33			1	0.23%	12.12%	52.52x	0.23%	12.12%
105	17.50			1	0.15%	12.48%	81.67x	0.15%	12.48%
106	17.67			1	0.10%	12.51%	124.75x	0.10%	12.51%
114	19.00			1	0.12%	13.63%	114.74x	0.12%	13.63%
115	19.17			1	0.09%	12.96%	139.92x	0.09%	12.96%
116	19.33			1	0.10%	12.98%	127.42x	0.10%	12.98%
117	19.50			1	0.10%	13.48%	132.30x	0.10%	13.48%
118	19.67			1	0.15%	13.77%	91.07x	0.15%	13.77%
119	19.83		yes	1	0.16%	13.98%	87.12x	0.16%	13.98%
120	20.00			1	0.17%	13.86%	81.31x	0.17%	13.86%
121	20.17			1	0.15%	13.77%	90.15x	0.15%	13.77%
122	20.33			1	0.14%	13.66%	94.65x	0.14%	13.66%
123	20.50			1	0.19%	13.75%	70.71x	0.19%	13.75%
124	20.67			1	0.26%	13.54%	51.32x	0.26%	13.54%
125	20.83			1	0.23%	13.43%	57.24x	0.23%	13.43%
126	21.00			1	0.16%	13.34%	83.10x	0.16%	13.34%
127	21.17			1	0.18%	13.22%	72.00x	0.18%	13.22%
128	21.33			1	0.23%	13.11%	55.88x	0.23%	13.11%
129	21.50			1	0.20%	12.90%	65.58x	0.20%	12.90%
130	21.67			1	0.16%	12.99%	82.53x	0.16%	12.99%
131	21.83			1	0.21%	12.79%	60.94x	0.21%	12.79%
132	22.00			1	0.22%	12.68%	57.04x	0.22%	12.68%
133	22.17			1	0.29%	12.68%	43.23x	0.29%	12.68%
134	22.33			1	0.31%	12.59%	41.20x	0.31%	12.59%
135	22.50			1	0.32%	12.90%	40.39x	0.32%	12.90%
136	22.67			1	0.34%	13.04%	38.66x	0.34%	13.04%
137	22.83			1	0.23%	12.78%	54.50x	0.23%	12.78%
138	23.00			1	0.17%	12.25%	70.56x	0.17%	12.25%
139	23.17			1	0.18%	12.05%	65.64x	0.18%	12.05%
140	23.33			1	0.20%	12.05%	61.26x	0.20%	12.05%
141	23.50			1	0.15%	11.86%	78.82x	0.15%	11.86%
142	23.67			1	0.17%	11.75%	67.97x	0.17%	11.75%
143	23.83			1	0.15%	11.64%	76.94x	0.15%	11.64%
144	24.00			1	0.16%	11.64%	71.81x	0.16%	11.64%
145	24.17			1	0.21%	11.52%	54.91x	0.21%	11.52%
146	24.33			1	0.23%	11.67%	49.74x	0.23%	11.67%
147	24.50			1	0.22%	11.89%	54.06x	0.22%	11.89%
148	24.67			1	0.21%	11.92%	57.20x	0.21%	11.92%
149	24.83			1	0.17%	12.11%	70.07x	0.17%	12.11%
150	25.00			1	0.16%	12.22%	76.15x	0.16%	12.22%
151	25.17			1	0.15%	11.92%	79.20x	0.15%	11.92%
152	25.33			1	0.16%	11.36%	70.14x	0.16%	11.36%
153	25.50			1	0.22%	10.74%	48.83x	0.22%	10.74%
154	25.67			1	0.22%	10.74%	48.32x	0.22%	10.74%
155	25.83			1	0.16%	10.70%	66.05x	0.16%	10.70%
156	26.00			1	0.09%	10.52%	113.60x	0.09%	10.52%
169	28.17			1	0.23%	9.44%	40.77x	0.23%	9.44%
170	28.33			1	0.34%	9.26%	27.29x	0.34%	9.26%
171	28.50			1	0.34%	9.26%	27.29x	0.34%	9.26%
172	28.67			1	0.35%	9.16%	26.03x	0.35%	9.16%
173	28.83			1	0.39%	8.99%	23.01x	0.39%	8.99%
174	29.00			1	0.41%	8.99%	22.01x	0.41%	8.99%
175	29.17			1	0.41%	8.99%	22.01x	0.41%	8.99%
178	29.67			1	0.16%	8.71%	54.27x	0.16%	8.71%
179	29.83			1	0.13%	8.60%	65.99x	0.13%	8.60%
180	30.00			1	0.06%	8.44%	136.69x	0.06%	8.44%
181	30.17			1	0.42%	8.40%	19.93x	0.42%	8.40%
182	30.33			1	0.38%	8.40%	22.02x	0.38%	8.40%
183	30.50		yes	1	0.24%	8.23%	34.63x	0.24%	8.23%

100x and up -- video_9421_eb4189

What action not related to making tea did the person do?

answer: putting a kiwi fruit on top of the tea box
objects: kiwi fruit being placed on top of the tea box
files: bin5_video_9421_eb4189.mp4 | bin5_video_9421_eb4189.csv

per-frame coverage, all 105 frames

frame	t (s)	evidence	asked	objects	orig coverage	new coverage	growth	orig single box	new single box
0	0.00		yes	1	0.23%	23.03%	99.21x	0.23%	23.03%
2	0.33			1	0.17%	23.56%	136.32x	0.17%	23.56%
3	0.50			1	0.07%	23.64%	332.14x	0.07%	23.64%
8	1.33			1	0.04%	24.14%	538.22x	0.04%	24.14%
9	1.50			1	0.07%	24.25%	352.17x	0.07%	24.25%
10	1.67			1	0.08%	24.36%	307.95x	0.08%	24.36%
11	1.83			1	0.05%	24.42%	451.29x	0.05%	24.42%
12	2.00			1	0.08%	24.52%	310.00x	0.08%	24.52%
13	2.17			1	0.07%	24.58%	346.76x	0.07%	24.58%
14	2.33			1	0.12%	24.64%	205.69x	0.12%	24.64%
15	2.50			1	0.04%	24.73%	610.51x	0.04%	24.73%
16	2.67			1	0.09%	24.79%	269.96x	0.09%	24.79%
17	2.83			1	0.04%	24.87%	616.25x	0.04%	24.87%
18	3.00			1	0.07%	24.96%	338.27x	0.07%	24.96%
41	6.83			1	0.04%	28.12%	650.12x	0.04%	28.12%
42	7.00			1	0.05%	27.04%	567.01x	0.05%	27.04%
43	7.17			1	0.04%	29.02%	786.67x	0.04%	29.02%
44	7.33			1	0.06%	30.69%	541.21x	0.06%	30.69%
45	7.50			1	0.05%	31.57%	677.62x	0.05%	31.57%
46	7.67			1	0.05%	32.00%	593.52x	0.05%	32.00%
47	7.83			1	0.07%	31.60%	485.42x	0.07%	31.60%
48	8.00			1	0.08%	30.99%	393.25x	0.08%	30.99%
49	8.17			1	0.06%	32.46%	523.06x	0.06%	32.46%
51	8.50			1	0.05%	25.83%	536.24x	0.05%	25.83%
52	8.67			1	0.04%	25.84%	577.35x	0.04%	25.84%
53	8.83			1	0.04%	25.84%	579.88x	0.04%	25.84%
54	9.00			1	0.03%	25.81%	831.05x	0.03%	25.81%
55	9.17			1	0.08%	25.81%	317.96x	0.08%	25.81%
56	9.33			1	0.07%	25.80%	379.45x	0.07%	25.80%
57	9.50			1	0.10%	25.71%	270.02x	0.10%	25.71%
58	9.67			1	0.03%	25.67%	864.00x	0.03%	25.67%
60	10.00			1	0.05%	25.67%	487.38x	0.05%	25.67%
61	10.17			1	0.06%	25.65%	436.66x	0.06%	25.65%
62	10.33			1	0.06%	25.60%	400.36x	0.06%	25.60%
63	10.50			1	0.06%	25.58%	436.20x	0.06%	25.58%
64	10.67		yes	1	0.05%	25.46%	475.68x	0.05%	25.46%
70	11.67			1	0.09%	25.77%	280.63x	0.09%	25.77%
71	11.83			1	0.12%	25.79%	215.85x	0.12%	25.79%
72	12.00			1	0.17%	25.87%	151.78x	0.17%	25.87%
73	12.17			1	0.34%	30.67%	90.44x	0.34%	30.67%
88	14.67			1	0.04%	26.58%	726.21x	0.04%	26.58%
89	14.83			1	0.06%	26.58%	453.28x	0.06%	26.58%
90	15.00			1	0.06%	26.63%	471.93x	0.06%	26.63%
91	15.17			1	0.06%	26.70%	445.81x	0.06%	26.70%
92	15.33			1	0.09%	26.72%	282.70x	0.09%	26.72%
93	15.50			1	0.06%	26.75%	436.40x	0.06%	26.75%
94	15.67			1	0.07%	26.80%	407.35x	0.07%	26.80%
95	15.83			1	0.08%	26.87%	334.44x	0.08%	26.87%
96	16.00			1	0.07%	26.92%	390.04x	0.07%	26.92%
97	16.17			1	0.05%	26.96%	513.89x	0.05%	26.96%
98	16.33			1	0.06%	27.04%	479.20x	0.06%	27.04%
99	16.50			1	0.09%	27.06%	311.69x	0.09%	27.06%
100	16.67			1	0.06%	27.08%	428.07x	0.06%	27.08%
101	16.83			1	0.12%	27.16%	232.82x	0.12%	27.16%
116	19.33			1	0.27%	27.76%	104.11x	0.27%	27.76%
117	19.50			1	0.09%	27.84%	312.85x	0.09%	27.84%
118	19.67			1	0.07%	27.88%	373.02x	0.07%	27.88%
119	19.83			1	0.04%	27.93%	713.24x	0.04%	27.93%
120	20.00			1	0.05%	28.01%	586.59x	0.05%	28.01%
121	20.17			1	0.06%	28.01%	474.44x	0.06%	28.01%
122	20.33			1	0.08%	28.05%	364.70x	0.08%	28.05%
123	20.50			1	0.10%	28.10%	273.30x	0.10%	28.10%
124	20.67			1	0.13%	28.18%	224.71x	0.13%	28.18%
125	20.83			1	0.26%	28.22%	108.94x	0.26%	28.22%
128	21.33			1	0.09%	36.03%	397.23x	0.09%	36.03%
129	21.50			1	0.08%	35.51%	450.69x	0.08%	35.51%
130	21.67			1	0.12%	33.44%	284.65x	0.12%	33.44%
131	21.83			1	0.14%	31.49%	226.26x	0.14%	31.49%
132	22.00			1	0.06%	28.52%	492.76x	0.06%	28.52%
133	22.17		yes	1	0.06%	28.56%	444.00x	0.06%	28.56%
134	22.33			1	0.07%	28.92%	390.38x	0.07%	28.92%
135	22.50			1	0.10%	29.25%	293.47x	0.10%	29.25%
136	22.67			1	0.07%	29.60%	395.71x	0.07%	29.60%
137	22.83			1	0.09%	29.91%	331.28x	0.09%	29.91%
138	23.00			1	0.08%	30.26%	400.15x	0.08%	30.26%
139	23.17			1	0.08%	30.60%	386.24x	0.08%	30.60%
140	23.33			1	0.08%	30.89%	380.54x	0.08%	30.89%
141	23.50			1	0.08%	31.19%	378.20x	0.08%	31.19%
142	23.67			1	0.07%	31.55%	425.95x	0.07%	31.55%
143	23.83			1	0.09%	31.83%	342.90x	0.09%	31.83%
144	24.00			1	0.08%	32.14%	400.55x	0.08%	32.14%
145	24.17			1	0.07%	32.42%	490.04x	0.07%	32.42%
146	24.33			1	0.07%	32.72%	452.39x	0.07%	32.72%
147	24.50			1	0.09%	33.03%	369.22x	0.09%	33.03%
148	24.67			1	0.05%	33.29%	653.62x	0.05%	33.29%
149	24.83			1	0.08%	33.54%	415.44x	0.08%	33.54%
150	25.00			1	0.09%	33.87%	386.91x	0.09%	33.87%
151	25.17			1	0.09%	34.07%	371.82x	0.09%	34.07%
152	25.33			1	0.10%	34.39%	332.90x	0.10%	34.39%
153	25.50			1	0.13%	34.62%	260.10x	0.13%	34.62%
155	25.83			1	0.21%	40.30%	187.66x	0.21%	40.30%
156	26.00			1	0.27%	40.26%	148.82x	0.27%	40.26%
157	26.17			1	0.32%	39.79%	123.55x	0.32%	39.79%
158	26.33			1	0.30%	39.46%	132.90x	0.30%	39.46%
159	26.50			1	0.23%	39.67%	170.09x	0.23%	39.67%
160	26.67			1	0.63%	42.21%	67.22x	0.63%	42.21%
161	26.83	yes	yes	1	0.76%	36.10%	47.23x	0.76%	36.10%
163	27.17	yes		1	0.30%	26.74%	90.33x	0.30%	26.74%
164	27.33	yes		1	0.12%	17.31%	139.41x	0.12%	17.31%
165	27.50	yes	yes	1	0.10%	12.36%	121.34x	0.10%	12.36%
166	27.67	yes		1	0.13%	11.52%	91.02x	0.13%	11.52%
167	27.83	yes	yes	1	0.10%	10.68%	107.90x	0.10%	10.68%
168	28.00	yes		1	0.11%	14.91%	140.32x	0.11%	14.91%
169	28.17	yes		1	0.13%	19.81%	149.35x	0.13%	19.81%
170	28.33	yes	yes	1	0.24%	25.11%	104.75x	0.24%	25.11%

Files

file	rows	notes
contextualized/<source>.jsonl	19,902	one entry per row, boxes per object per frame
gen_mask/st_evidence.csv	20,475	upstream QA table, copied verbatim

Frames are not mirrored here -- they are 46 GB and byte-identical to upstream:

hf download Salesforce/ST-Evidence-Instruct --repo-type dataset \
    --include "gen_mask/video_frames_6fps.tar.gz" --local-dir .
tar -xzf gen_mask/video_frames_6fps.tar.gz -C gen_mask

A row's clip is the frame directory and frames are frame_%04d.jpg:

import json
from PIL import Image

row = json.loads(open("contextualized/pt.jsonl").readline())
obj = row["objects"][0]
hit = obj["frames"][0]
img = Image.open(f"gen_mask/video_frames_6fps/{row['clip']}/"
                 f"frame_{hit['frame']:04d}.jpg")
crop = img.crop(hit["bbox_2d"])           # the contextualized region
print(row["temporal_evidence"])           # [[start_s, end_s], ...]

Schema

key	type	meaning
entry_id	str	upstream id, joins to st_evidence.csv and to the upstream masks
video_id, video_path, source, clip	str	upstream ids; clip is the frame directory
fps, width, height, duration	float	6 fps throughout; frame size in pixels
question, answer, candidates	str, str, list[str]	upstream QA
temporal_evidence	list[[float, float]]	upstream evidence segments, in seconds, unchanged
objects[]	list	one per evidence object
objects[].ref_expression	str	upstream referring expression
objects[].rebox	bool	false if the model answered for no keyframe of this object
objects[].keyframes[]	list	{frame, timestamp, bbox_model} -- the 27B's raw answers
objects[].frames[]	list	{frame, timestamp, bbox_2d, bbox_orig}, every annotated frame
n_objects, n_boxes	int	counts
area_orig, area_new	float	mean box area as a percent of the frame, 0-100
rebox	bool	false if no object in the entry was reboxed

bbox_2d is the shipped box, bbox_orig is the mask contour box, so the change is reversible per frame.