item_id stringlengths 3 46 | benchmark stringclasses 76
values | capability_group stringclasses 4
values | capability_group_label stringclasses 4
values | fine_category stringclasses 18
values | question stringlengths 16 937 | options listlengths 2 10 | answer stringclasses 8
values | answer_idx int64 0 7 | chance float64 0.1 0.5 | video stringlengths 75 75 | video_id stringlengths 64 64 | duration_s float64 1.27 12.3k | attack_pct float64 0 0.23 | verification dict | source_version stringclasses 2
values | license stringclasses 10
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SLVMBench_1543 | SLVMBench | temporal | Temporal | temporal_order | After placing the Monstera deliciosa in the flower pot, what is the next step? | [
"Water the plant thoroughly until water drains out.",
"Press the soil down firmly around the base of the plant.",
"Add another layer of soil on the surface.",
"Place the pot in a spot with bright indirect sunlight.",
"Apply a balanced liquid fertilizer to promote root growth."
] | C | 2 | 0.2 | videos/0cc44b7a85051b2fb2af9aff8f4255692b24b20d89e50eebd7b8d408871247ce.mp4 | 0cc44b7a85051b2fb2af9aff8f4255692b24b20d89e50eebd7b8d408871247ce | 46.389 | 0.1949 | {
"verdict": "supported",
"keep_reason": "supported"
} | refill | Apache-2.0 |
LongVideoBench_649 | LongVideoBench | temporal | Temporal | temporal_order | What is the first concept mentioned after the man, sitting in front of the microphone wearing a black shirt with a pattern on the neck and a black cap and black-rimmed glasses, talks about evolution? | [
"Human evolution differences",
"Animal fossilization",
"Vertebrate",
"Plant fossilization",
"Mythical creature"
] | D | 3 | 0.2 | videos/42e2307a89c0c970f2ecbf116b12c1d065ccd4d5d6fd7973aabcfdab631e2fd8.mp4 | 42e2307a89c0c970f2ecbf116b12c1d065ccd4d5d6fd7973aabcfdab631e2fd8 | 928.560967 | 0.1958 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | refill | CC-BY-NC-SA-4.0 |
S-EMBER_8655 | S-EMBER | temporal | Temporal | action_counting | How many people have I seen walk into the Nintendo store? | [
"Four.",
"Three.",
"One.",
"Nine.",
"Two."
] | D | 3 | 0.2 | videos/e8663ac79e86be8cc3e94ac74fcb19204d724c86de256801f991f3a686e92dc4.mp4 | e8663ac79e86be8cc3e94ac74fcb19204d724c86de256801f991f3a686e92dc4 | 600 | 0.1958 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | refill | CC-BY-NC-4.0 |
HLV-1K_5284 | HLV-1K | temporal | Temporal | temporal_order | What were the individuals doing before the scene transitioned to the mountainous area where several men were engaged in fieldwork or research activities? | [
"They were navigating through the verdant greenery.",
"They were handling a syringe amidst the outdoor greenery.",
"They were observing a gorilla within a dense green forest.",
"They were seated in a dimly lit room."
] | B | 1 | 0.25 | videos/ea57875c71fad79493dc5da99ec8994d4c7c7dd2f5c2712b356805ce5127c369.mp4 | ea57875c71fad79493dc5da99ec8994d4c7c7dd2f5c2712b356805ce5127c369 | 3,013.996553 | 0.198 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | refill | MIT |
S-EMBER_5770 | S-EMBER | temporal | Temporal | temporal_order | What was the other woman doing with her clothing before I first picked something up? | [
"She was adjusting and pulling down her top to reveal something underneath.",
"She was holding up and draping a large animal print fabric across her body.",
"She was holding up the piece of clothing with both hands and spreading it out.",
"She was adjusting and arranging her scarf around her neck and shoulder... | C | 2 | 0.2 | videos/227f65e9f93810147d1af100e48df45037df01105a0158f819ffde6c8b0403ce.mp4 | 227f65e9f93810147d1af100e48df45037df01105a0158f819ffde6c8b0403ce | 600 | 0.1982 | {
"verdict": "supported",
"keep_reason": "supported"
} | refill | CC-BY-NC-4.0 |
TOC-Bench_1489 | TOC-Bench | temporal | Temporal | speed_duration | How long does black vacuum stay in contact with white door? | [
"for several seconds",
"there is no black vacuum in this video",
"for an extended period",
"briefly"
] | C | 2 | 0.25 | videos/adcf2ca732ddd451eafb2daec418be3b85dce5209ab4fd8d0f465bdf48d79f41.mp4 | adcf2ca732ddd451eafb2daec418be3b85dce5209ab4fd8d0f465bdf48d79f41 | 34.737007 | 0.1984 | {
"verdict": "supported",
"keep_reason": "supported"
} | refill | custom |
VGenST-Bench_7352 | VGenST-Bench | temporal | Temporal | action_counting | Suppose the container was empty at the start of the video - How many identical items are in container at the end of the video? | [
"0",
"1",
"2",
"3"
] | D | 3 | 0.25 | videos/6306e2a214b8453917764921ac30087e8e081cd9df2f04a4107b6217d8cd570d.mp4 | 6306e2a214b8453917764921ac30087e8e081cd9df2f04a4107b6217d8cd570d | 8 | 0.1986 | {
"verdict": "supported",
"keep_reason": "supported"
} | refill | CC-BY-NC-4.0 |
FAVOR-Bench_1074 | FAVOR-Bench | temporal | Temporal | temporal_order | Regarding the subject's two interactions with the same object, which of the following descriptions is correct? | [
"The subject uses the left hand to first open the drawer and then close the drawer",
"The subject uses the left hand to first put down the cup and then move the cup",
"The subject uses the right hand to first rinse the spoon and then shake the spoon",
"The subject uses the right hand to first take out the spo... | B | 1 | 0.2 | videos/70ba3f9a57f9bbdc6feb136a5cb7d520ca4ae88569f30e23d8469f13ee68a175.mp4 | 70ba3f9a57f9bbdc6feb136a5cb7d520ca4ae88569f30e23d8469f13ee68a175 | 33.133333 | 0.1992 | {
"verdict": "supported",
"keep_reason": "supported"
} | refill | CC-BY-NC-SA-4.0 |
S-EMBER_5572 | S-EMBER | temporal | Temporal | action_counting | So far, how many times have I used tweezers to peel off a sticker? | [
"5 times.",
"3 times.",
"2 times.",
"15 times.",
"4 times."
] | D | 3 | 0.2 | videos/ad509ccaf902226e1182d3c6a083096ab815eebd07646ecf5983043fe46b1625.mp4 | ad509ccaf902226e1182d3c6a083096ab815eebd07646ecf5983043fe46b1625 | 600 | 0.1992 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | refill | CC-BY-NC-4.0 |
FAVOR-Bench_1947 | FAVOR-Bench | temporal | Temporal | temporal_order | Throughout the video, which option best summarizes the core actions of the three men? | [
"The man in white bowed his head and passed a lamp to the man in a black hat",
"The man in purple tilted his head and briefly ran",
"The man in a black hat turned his head, raised his hand, and spoke",
"Three men sequentially ran to the left",
"The man in white stood upright and turned his head multiple tim... | D | 3 | 0.2 | videos/be4ad847913463fe7e5a620be848c1e917b444ac5522dc29fe6a8820e8da9bd7.mp4 | be4ad847913463fe7e5a620be848c1e917b444ac5522dc29fe6a8820e8da9bd7 | 5.32 | 0.1993 | {
"verdict": "supported",
"keep_reason": "supported"
} | refill | CC-BY-NC-SA-4.0 |
S-EMBER_5994 | S-EMBER | temporal | Temporal | temporal_order | What did I do right before I last stood up from the chair? | [
"You wrote on the paper attached to the clipboard.",
"You reached forward and closed your laptop lid.",
"You placed the clipboard with papers on the desk.",
"You put down your pen on the desk.",
"You tapped a notification on your phone."
] | E | 4 | 0.2 | videos/0ddb6528a575aec5462633ebc83d74d7b4e7173ced01834e5611ab2f9fe59e3d.mp4 | 0ddb6528a575aec5462633ebc83d74d7b4e7173ced01834e5611ab2f9fe59e3d | 1,200 | 0.1993 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | refill | CC-BY-NC-4.0 |
K9-Bench_2914 | K9-Bench | temporal | Temporal | temporal_order | Detail the sequence of events and behavioral responses that demonstrate a dog's excitement for a walk on a weekend morning, triggered by human interaction. | [
"Dog perks ears, whimpers, yelps, and jumps onto human after verbal cue.",
"Dog stands alert with pricked ears, barks sharply, and nips human's hand.",
"Dog twitches nose, grunts, barks, and mouths human's arm after verbal cue.",
"Dog yawns, howls increasingly, and licks human's hand after verbal cue.",
"Do... | D | 3 | 0.2 | videos/6092efbb27625e72db53c84623f14a3d07c8bf2966b63448167122fc52dcabcc.mp4 | 6092efbb27625e72db53c84623f14a3d07c8bf2966b63448167122fc52dcabcc | 604.18322 | 0.2006 | {
"verdict": "supported",
"keep_reason": "supported"
} | refill | CC-BY-NC-4.0 |
VGenST-Bench_7324 | VGenST-Bench | temporal | Temporal | action_counting | Suppose the container was empty at the start of the video - How many identical items are in container at the end of the video? | [
"0",
"1",
"2",
"3"
] | D | 3 | 0.25 | videos/36e9721a94cfb608b02f906a0a99070c1f057429484352d284009f71c85a47fc.mp4 | 36e9721a94cfb608b02f906a0a99070c1f057429484352d284009f71c85a47fc | 8 | 0.2007 | {
"verdict": "supported",
"keep_reason": "supported"
} | refill | CC-BY-NC-4.0 |
ALLVB_15618 | ALLVB | temporal | Temporal | temporal_order | How does the video transition from Amy's speech to the scene where she talks to Gwendolyn in her Range Rover? | [
"The scene fades to black and then opens with Gwendolyn crying.",
"The camera pans from the auditorium to the parking lot.",
"The scene cuts directly from the applause to Gwendolyn's car.",
"The video shows a montage of moms leaving the auditorium.",
"The scene transitions with a voiceover from Amy."
] | D | 3 | 0.2 | videos/b68a19223616844885cca5664b2f166d4cd51e16d3e2bd35b5c761c4f5830500.mp4 | b68a19223616844885cca5664b2f166d4cd51e16d3e2bd35b5c761c4f5830500 | 6,057.013 | 0.2015 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | refill | CC-BY-NC-SA-4.0 |
AoTBench_5547 | AoTBench | temporal | Temporal | temporal_order | Which caption best describes this video? | [
"In a room decorated with a Christmas tree, an Asian man sitting on the sofa opens a gift box on Christmas Eve and feels very happy.",
"On Christmas Eve, a man opens his mouth happily as he looks at the contents of the gift box, later he closes the box."
] | B | 1 | 0.5 | videos/1102126ceec593d709c493d9669428bb0f64ccfe0a435be473ce0d14c3fb3a3a.mp4 | 1102126ceec593d709c493d9669428bb0f64ccfe0a435be473ce0d14c3fb3a3a | 17.6176 | 0.2015 | {
"verdict": "not_verifiable",
"keep_reason": "reversed_clip"
} | refill | unknown |
S-EMBER_4729 | S-EMBER | temporal | Temporal | action_counting | How many times did I toss the ball up? | [
"0",
"2",
"4",
"3",
"1"
] | C | 2 | 0.2 | videos/d87997decc7e71c1ee659baf4337d206108b39a1cb9e694b71e29a4dab104158.mp4 | d87997decc7e71c1ee659baf4337d206108b39a1cb9e694b71e29a4dab104158 | 300 | 0.2015 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | refill | CC-BY-NC-4.0 |
S-EMBER_6157 | S-EMBER | temporal | Temporal | speed_duration | After I peeled the Santa sticker off the sheet, how long did it take me to put it on the card? | [
"About 5 seconds.",
"About 15 seconds.",
"About 10 seconds.",
"About 51 seconds.",
"About 30 seconds."
] | D | 3 | 0.2 | videos/ff8269c7f7cc90c335dde2f96bd6de97dd9f10310492c2561b2811ec5d2032b7.mp4 | ff8269c7f7cc90c335dde2f96bd6de97dd9f10310492c2561b2811ec5d2032b7 | 600.416667 | 0.2031 | {
"verdict": "supported",
"keep_reason": "supported"
} | refill | CC-BY-NC-4.0 |
S-EMBER_4266 | S-EMBER | temporal | Temporal | action_counting | How many items did I remove from the cabinet over the sink? | [
"Three.",
"Five.",
"Four.",
"Two.",
"Eight."
] | E | 4 | 0.2 | videos/fac77d40a8d732778abd080e8c38357639258282c34d71be12e382c4b42a5db2.mp4 | fac77d40a8d732778abd080e8c38357639258282c34d71be12e382c4b42a5db2 | 600 | 0.2032 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | refill | CC-BY-NC-4.0 |
S-EMBER_4586 | S-EMBER | temporal | Temporal | temporal_order | What's the order of words I've filled in on the puzzle? | [
"\"PLAYING,\" \"VOLCANO,\" \"MARS,\" \"TWELVE,\" \"LAMP,\" \"WASHINGTON,\" \"HONEST,\" \"WONDERFUL,\" \"NURSE,\" \"AMAZED,\" and \"SPELLING.\"",
"\"PLAYING,\" \"HONEST,\" \"WASHINGTON,\" \"WONDERFUL,\" \"MARS,\" \"LAMP,\" and \"VOLCANO.\"",
"\"LAMP,\" \"WONDERFUL,\" \"SPAM,\" \"WATER,\" \"TREASURE,\" \"NURSE,\"... | C | 2 | 0.2 | videos/cc3c04ddade62e8eb8c13523d1c7850020a234224c297b1ebce1be25e2cee024.mp4 | cc3c04ddade62e8eb8c13523d1c7850020a234224c297b1ebce1be25e2cee024 | 600 | 0.2042 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | refill | CC-BY-NC-4.0 |
NExT-QA_4882 | NExT-QA | temporal | Temporal | temporal_order | what did the man do after he blew the candles | [
"look at cake",
"clap",
"run away",
"shake his fist",
"return to his seats"
] | D | 3 | 0.2 | videos/10a653240e0c0f656bee7f07ea4b7a80736fdaa35934490b4968cde01fd0b960.mp4 | 10a653240e0c0f656bee7f07ea4b7a80736fdaa35934490b4968cde01fd0b960 | 31.045057 | 0.2045 | {
"verdict": "supported",
"keep_reason": "supported"
} | refill | MIT |
TempCompass_795 | TempCompass | spatial_physical | Spatial / physical | physics_causality | Which caption matches the video better? | [
"The ice cream is melting.",
"The ice cream is freezing."
] | B | 1 | 0.5 | videos/de8a5e3900118711677dabd256c4127415452e2cf36d1c6603acb783b06d5b97.mp4 | de8a5e3900118711677dabd256c4127415452e2cf36d1c6603acb783b06d5b97 | 11.533333 | 0.0007 | {
"verdict": "supported",
"keep_reason": "reversed_clip"
} | census_v4 | |
TempCompass_1048 | TempCompass | spatial_physical | Spatial / physical | physics_causality | Which caption matches the video better? | [
"The glacier is assembling and rising from the water.",
"The glacier is breaking and falling in the water."
] | A | 0 | 0.5 | videos/6047d54efd198594de7f8e68b38baed01d8182fc9db5b66839e3e11829f012df.mp4 | 6047d54efd198594de7f8e68b38baed01d8182fc9db5b66839e3e11829f012df | 13.344454 | 0.0019 | {
"verdict": "contradicted",
"keep_reason": "reversed_clip"
} | census_v4 | |
AoTBench_5105 | AoTBench | spatial_physical | Spatial / physical | physics_causality | Which caption best describes this video? | [
"A clerk in a red dress and a light yellow apron smiles and gives a bouquet to a female customer in a light green coat.",
"A female customer in a light green coat holds a bouquet, walks upside down to the clerk in the red coat, and gives it to her."
] | B | 1 | 0.5 | videos/a23776ddedb6fbb3be23fa82506213cf885fd4f4986a644370794e0d12e1637b.mp4 | a23776ddedb6fbb3be23fa82506213cf885fd4f4986a644370794e0d12e1637b | 17 | 0.0047 | {
"verdict": "contradicted",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
TempCompass_869 | TempCompass | spatial_physical | Spatial / physical | physics_causality | Which caption matches the video better? | [
"The toast with cream cheese is gradually growing larger.",
"The toast with cream cheese is gradually being eaten out and disappearing."
] | A | 0 | 0.5 | videos/3b3d8b0c8816f07ac981f90fdd618f6dd94d85c3752fb4ac95843d674587d220.mp4 | 3b3d8b0c8816f07ac981f90fdd618f6dd94d85c3752fb4ac95843d674587d220 | 4 | 0.0068 | {
"verdict": "supported",
"keep_reason": "reversed_clip"
} | census_v4 | |
TimeBlind_1233 | TimeBlind | spatial_physical | Spatial / physical | physics_causality | What is happening to the whole onion? | [
"It is being cut into small pieces.",
"The small pieces are coming together to form a whole onion."
] | B | 1 | 0.5 | videos/bb4254cb8116610c9441b8ebc9d61393a3bd71bf205672ed572b9565762c2abe.mp4 | bb4254cb8116610c9441b8ebc9d61393a3bd71bf205672ed572b9565762c2abe | 8.2082 | 0.0073 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
AoTBench_4359 | AoTBench | spatial_physical | Spatial / physical | spatial_relation | Which caption best describes this video? | [
"As the camera moves from bottom to top, a burnt tree stands in an abandoned place after a forest fire.",
"As the camera pans down, a burnt tree slowly disappears and a house appears next to the ruins."
] | B | 1 | 0.5 | videos/2739444147911e2aea064dbaec9b9e8ee0d2be6d69705893a83a2aba55436e07.mp4 | 2739444147911e2aea064dbaec9b9e8ee0d2be6d69705893a83a2aba55436e07 | 24.891995 | 0.0085 | {
"verdict": "supported",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
UrbanVideo-Bench_4657 | UrbanVideo-Bench | spatial_physical | Spatial / physical | spatial_relation | You are navigating to the balcony on the top floor of the building in front of you, where white clothes are hanging. What is the correct summary of your trajectory from the beginning to the current location? | [
"I start from the parking lot, rise upward, move toward the building, and reach my current location.",
"I start from the street, move forward, then rise to the height of the building and move toward the balcony.",
"I start from the ground, fly over the street, move to the top floor, and then move to the designa... | E | 4 | 0.2 | videos/0bd067b9b04a929c60e54dae7319c63fe3c315c1d59531d2938659ea044d2a6b.mp4 | 0bd067b9b04a929c60e54dae7319c63fe3c315c1d59531d2938659ea044d2a6b | 64.2 | 0.0092 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | MIT |
AoTBench_5065 | AoTBench | spatial_physical | Spatial / physical | spatial_relation | Which caption best describes this video? | [
"The view of the camera gradually zooms in to film a man appearing from the darkness with sweat and water dripping off his face.",
"A man appearing from the darkness with sweat and water dripping off his face is filmed with the view of the camera gradually zooming out."
] | B | 1 | 0.5 | videos/aaf0ef125dc4ca4190e607aae18bf6f662b199dbc60b76f1ba56fae0229c57fd.mp4 | aaf0ef125dc4ca4190e607aae18bf6f662b199dbc60b76f1ba56fae0229c57fd | 24.399375 | 0.0095 | {
"verdict": "supported",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
S-EMBER_8015 | S-EMBER | spatial_physical | Spatial / physical | spatial_relation | How do I get back to the aisle with the white Threshold pillows? | [
"Head back to the main cross-aisle and look for the endcap with the large pillow sign; turn into that row to find the white pillows on the left-hand shelves.",
"Turn around and walk back down the aisle you came from, then turn left at the first intersection to reach the aisle with the white Threshold pillows.",
... | E | 4 | 0.2 | videos/9e6e0525976a7674c698bba459331c3855abff0b1d911bba538fffcfbbe27382.mp4 | 9e6e0525976a7674c698bba459331c3855abff0b1d911bba538fffcfbbe27382 | 300 | 0.0193 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-NC-4.0 |
TempCompass_807 | TempCompass | spatial_physical | Spatial / physical | physics_causality | Which caption matches the video better? | [
"The concrete wall is falling apart.",
"The concrete wall is assembling together."
] | B | 1 | 0.5 | videos/918292ab80c344c7294c78877683f51580dce2453e1fbe1539388d57be2b61c5.mp4 | 918292ab80c344c7294c78877683f51580dce2453e1fbe1539388d57be2b61c5 | 11.2 | 0.0201 | {
"verdict": "supported",
"keep_reason": "reversed_clip"
} | census_v4 | |
AoTBench_4847 | AoTBench | spatial_physical | Spatial / physical | spatial_relation | Which caption best describes this video? | [
"The camera shot from far to near, from top to bottom, a long-haired girl wearing yellow clothes working in front of a computer.",
"the scene of a long-haired girl wearing yellow clothes working in front of a computer was shot by the camera from close to far, from bottom to top."
] | B | 1 | 0.5 | videos/f9e8d5ed201c6ad18cb44d0c308801dbbd9f36a4d5992928eba5bbc0f3144d76.mp4 | f9e8d5ed201c6ad18cb44d0c308801dbbd9f36a4d5992928eba5bbc0f3144d76 | 22.64 | 0.0246 | {
"verdict": "supported",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
AoTBench_4555 | AoTBench | spatial_physical | Spatial / physical | spatial_relation | Which caption best describes this video? | [
"Colorful notes emanate from the inside, including red, green, blue, purple, and yellow.",
"Clustered from the outside to the inside are the divergent colorful notes, including red, green, blue, purple, and yellow."
] | B | 1 | 0.5 | videos/0ae7c7ec140c77b83644f79ae04356498850b5af5a586fd3f6321428c59280d4.mp4 | 0ae7c7ec140c77b83644f79ae04356498850b5af5a586fd3f6321428c59280d4 | 20.266667 | 0.0326 | {
"verdict": "supported",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
VITATECS_1478 | VITATECS | spatial_physical | Spatial / physical | spatial_relation | Which caption correctly describes what happens in the video? | [
"a young girl runs away from her gymnastics pad",
"a young girl runs towards her gymnastics pad"
] | A | 0 | 0.5 | videos/efd4d32010c6740ab3f0aef64ecb278e0e757c23a6090e464d2f6bf10095cad3.mp4 | efd4d32010c6740ab3f0aef64ecb278e0e757c23a6090e464d2f6bf10095cad3 | 13.980633 | 0.0334 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-4.0 |
UrbanVideo-Bench_4698 | UrbanVideo-Bench | spatial_physical | Spatial / physical | spatial_relation | You are navigating to the playground next to the building in front of you. What is the correct summary of your trajectory from the start to the current position? | [
"I start from above the roof, descend to the playground, and then move to my current location.",
"I start from the roof of the building, move toward the playground, and stop at my current location.",
"I start from a point above the roof of the building and turn 90 degrees to the right.",
"I start from the top... | C | 2 | 0.2 | videos/7f2181c6be89dd22f43552fbb19b7ce7ba2eeba3b4f2d12935bb9e89978075c8.mp4 | 7f2181c6be89dd22f43552fbb19b7ce7ba2eeba3b4f2d12935bb9e89978075c8 | 25.533333 | 0.0449 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | MIT |
VideoOdyssey_542 | VideoOdyssey | spatial_physical | Spatial / physical | physics_causality | What was the decisive final step that enabled Mario to successfully reach the red arched door with the key during the time period from 00:07:15 to 00:07:40 in the video? | [
"The character wearing a white mushroom hat with red dots stepped on the red button, causing the red blocks to disappear, thereby obtaining the key.",
"Mario stepped on the red button, causing the red blocks to disappear, thereby obtaining the key.",
"The character wearing a white mushroom hat with red dots ste... | C | 2 | 0.25 | videos/d6f958e9c9425c9c6e8927f9ef6a482d165f86dcd3a58b6d37cdc6899c385cb4.mp4 | d6f958e9c9425c9c6e8927f9ef6a482d165f86dcd3a58b6d37cdc6899c385cb4 | 6,818.191383 | 0.0523 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-SA-4.0 |
HLV-1K_3199 | HLV-1K | spatial_physical | Spatial / physical | physics_causality | In the events from 1054.0 to 1121.0 seconds and H to e seconds, what is the direction of the soccer ball's movement? | [
"The soccer ball rolls from left to right.",
"The soccer ball rolls from right to left.",
"The soccer ball floats on the water.",
"The soccer ball is stationary."
] | C | 2 | 0.25 | videos/d1a14ec47c49be1e11f899a82ce4d52ea671beefa422b2c099181cb3e9bd077f.mp4 | d1a14ec47c49be1e11f899a82ce4d52ea671beefa422b2c099181cb3e9bd077f | 1,808.579048 | 0.0527 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | MIT |
VideoAds_407 | VideoAds | spatial_physical | Spatial / physical | physics_causality | What happens to the woman when the police shoot at her? | [
"The woman gets hit by the police's gunfire and falls to the ground.",
"The bullet break into pieces.",
"The woman gets hit by the police's gunfire but manages to stay upright and continues running.",
"The woman manages to dodge the police's gunfire and continues running."
] | B | 1 | 0.25 | videos/f6af7bfd103518c1c70aed00e0e5a400b68412d65aeef62bdb1e06fb2d57bc37.mp4 | f6af7bfd103518c1c70aed00e0e5a400b68412d65aeef62bdb1e06fb2d57bc37 | 140.294966 | 0.0527 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | custom |
K9-Bench_790 | K9-Bench | spatial_physical | Spatial / physical | physics_causality | What action by the dog leads directly to the thermometer being forcefully expelled and hitting the dartboard? | [
"The dog propels the thermometer toward the dartboard after a sudden spasm of his hindquarters during a rectal temperature check.",
"The dog sends the thermometer flying from his rear after a reflexive kick of his back leg during a rectal temperature check.",
"The dog expels the thermometer into a dartboard aft... | C | 2 | 0.2 | videos/ee661707bf6fd582d267c25bf8dd0355fb817383ab08c055e0c98ad8414ae7dc.mp4 | ee661707bf6fd582d267c25bf8dd0355fb817383ab08c055e0c98ad8414ae7dc | 109.528526 | 0.0554 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-4.0 |
S-EMBER_5996 | S-EMBER | spatial_physical | Spatial / physical | spatial_relation | Where is the trash can is located in the kitchen? | [
"In the center area between the kitchen, living room, and dining room.",
"It is completely out of frame and not visible in the kitchen area.",
"On the floor, tucked securely underneath the counter right below the sink.",
"In the adjacent room just outside the kitchen, near the main entrance.",
"Just to the ... | A | 0 | 0.2 | videos/dad6564a209364cb422493747f2c0a83ee53cd8402dd94e9929de95998c14a18.mp4 | dad6564a209364cb422493747f2c0a83ee53cd8402dd94e9929de95998c14a18 | 600 | 0.0571 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-NC-4.0 |
S-EMBER_283 | S-EMBER | spatial_physical | Spatial / physical | spatial_relation | From here, how do I get back to where I pointed at the large tree that was blocking the sun? | [
"Go back the way you came, turn right at the intersection, and walk along the main path straight ahead until you find the tree.",
"Turn around and walk straight down the dirt path without making any turns to get back to where the tree blocked the sun.",
"Walk back along the current narrow path to the main dirt ... | E | 4 | 0.2 | videos/ad5de5eb87fd122818b67a73b3a601738bd78611673cafdb558ef8d966c22379.mp4 | ad5de5eb87fd122818b67a73b3a601738bd78611673cafdb558ef8d966c22379 | 313.833333 | 0.059 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-4.0 |
MMSI-Video_227 | MMSI-Video | spatial_physical | Spatial / physical | spatial_relation | When preparing to go down the stairs, in which direction are the bedroom and living room respectively? | [
"Bedroom on the right, living room on the left",
"Both on the left side",
"Bedroom on the left, living room on the right",
"Both on the right side"
] | B | 1 | 0.25 | videos/138c4546f07a10b21a1de51e8f9e225df9fb8fcad55e347b3f86cbf4fa0997a6.mp4 | 138c4546f07a10b21a1de51e8f9e225df9fb8fcad55e347b3f86cbf4fa0997a6 | 188.333333 | 0.0666 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-4.0 |
AoTBench_4207 | AoTBench | spatial_physical | Spatial / physical | spatial_relation | Which caption best describes this video? | [
"As the conveyor belt moves, jars of yellow sunflower oil approach the camera, with industrial machines overhead tightening plastic caps.",
"Jars of yellow sunflower oil with industrial machines on top unscrewing plastic bottle caps move farther and farther away from the camera as the conveyor belt moves."
] | B | 1 | 0.5 | videos/9b4fc6e895922aee1e34dfc8532b2639c345998de0c62c2eb0b4e621bac43b63.mp4 | 9b4fc6e895922aee1e34dfc8532b2639c345998de0c62c2eb0b4e621bac43b63 | 14.84 | 0.0681 | {
"verdict": "contradicted",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
UrbanVideo-Bench_4840 | UrbanVideo-Bench | spatial_physical | Spatial / physical | spatial_relation | You are navigating to the gray sign shop on the roadside of the building to your right. What is the correct summary of your trajectory from the start to the current location? | [
"I start from the street, move toward the park, and then rise to the height of the roof of the building on the right.",
"I start from the parking lot, fly over the street, and then move along the side of the building on the right to reach the current location.",
"I rotate in one circle and fly forward.",
"I s... | C | 2 | 0.2 | videos/f43af5657394355331b4c8e3129d7181d97f50ed015c7ce78933b24e9622ddeb.mp4 | f43af5657394355331b4c8e3129d7181d97f50ed015c7ce78933b24e9622ddeb | 49.333333 | 0.0681 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | MIT |
UrbanVideo-Bench_4973 | UrbanVideo-Bench | spatial_physical | Spatial / physical | spatial_relation | You are navigating to the "Huaji Stone Rice Rice Roll" store. What is the correct summary of your trajectory from the beginning to the current location? | [
"Start from the parking lot, move forward to the street, and then fly to the current position above the store.",
"Start from a high-rise building, descend to a shop, and move to the current location.",
"Start from the parking lot, rise to the height of the high-rise building, move along the street, and reach th... | E | 4 | 0.2 | videos/185ec66e2af2835fc4bf6c50a3e4a2285fbb04ed6138ceb14e8a3b2df0b43290.mp4 | 185ec66e2af2835fc4bf6c50a3e4a2285fbb04ed6138ceb14e8a3b2df0b43290 | 29.733333 | 0.0688 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | MIT |
VF-Eval_2358 | VF-Eval | spatial_physical | Spatial / physical | physics_causality | Please assess the video and identify any quality issues, such as blurry visuals, low resolution, or distortion. | [
"The color grading of the video changes naturally as it progresses, but it should remain consistent.",
"The video’s focus remains excessively sharp around the edges, creating an unnatural visual effect.",
"The resolution of the video remains constant throughout, but subtle pixelation occurs in the foreground de... | D | 3 | 0.25 | videos/39f4e73247429f84fd6bfabd20eeff704053770b85acd23e6dd70de2d200a857.mp4 | 39f4e73247429f84fd6bfabd20eeff704053770b85acd23e6dd70de2d200a857 | 4 | 0.0696 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | MIT |
Video-LevelGauge_1107 | Video-LevelGauge | spatial_physical | Spatial / physical | spatial_relation | When the two individuals dressed in dark clothing enter from the left side of the frame and walk towards the center of the room, what is the spatial relationship between the small dog and the individuals? | [
"The small dog walks ahead of the individuals as they move towards the center of the room.",
"The small dog moves around the individuals as they walk towards the center of the room.",
"The small dog trails closely behind the individuals as they walk towards the center of the room.",
"The small dog remains sit... | B | 1 | 0.25 | videos/00c07328bb06e4c265c2650a444ffd25145045d2cb81c24442b837d3fc76fe0d.mp4 | 00c07328bb06e4c265c2650a444ffd25145045d2cb81c24442b837d3fc76fe0d | 31.8 | 0.0722 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-NC-SA-4.0 |
ALLVB_7117 | ALLVB | spatial_physical | Spatial / physical | physics_causality | What is the outcome when Adonis throws a three-punch combo at Vitor? | [
"Vitor is knocked down.",
"The crowd boos.",
"Vitor counters with a powerful punch.",
"The punches have no effect.",
"Adonis gets hit by Vitor's right hand."
] | B | 1 | 0.2 | videos/178922cb2f2cc9b7f8ff0f5a456ca3d00cb3d0537ab9740bdbcbd5d9d4e4c810.mp4 | 178922cb2f2cc9b7f8ff0f5a456ca3d00cb3d0537ab9740bdbcbd5d9d4e4c810 | 7,800.468 | 0.0736 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-SA-4.0 |
egocentric_navigation_30 | MVBench | spatial_physical | Spatial / physical | spatial_relation | This is a navigation video of an agent following instruction: "Go straight up the stairs. Wait at the top." What is the next action it should take? | [
"Turn left and move forward",
"Stop",
"Move forward",
"Turn right and move forward"
] | A | 0 | 0.25 | videos/054547009645294308f3afccb08df474afd3b0b548782e6f615ba8e2acf575a2.mp4 | 054547009645294308f3afccb08df474afd3b0b548782e6f615ba8e2acf575a2 | 7.833333 | 0.0784 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | |
S-EMBER_8307 | S-EMBER | spatial_physical | Spatial / physical | spatial_relation | How do I get back to the entrance I came through? | [
"Retrace your steps to the escalators, ride up to the upper landing, then follow the corridor straight ahead to the marked glass double doors.",
"Turn left and walk straight, then turn right and walk straight again. Finally, turn left in front of the big display screen.",
"Follow the red exit signs and walk str... | B | 1 | 0.2 | videos/73ce28f21d44ceda46508aa4afd2631fff2549a82e614b5b45638974d37791c5.mp4 | 73ce28f21d44ceda46508aa4afd2631fff2549a82e614b5b45638974d37791c5 | 600.166667 | 0.0789 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-4.0 |
ALLVB_23938 | ALLVB | spatial_physical | Spatial / physical | physics_causality | How does Ted's action of lifting Athena's heavy bag impact his environment? | [
"It causes the bellhop cart to break.",
"It makes the taxi driver leave in a hurry.",
"It results in Ted knocking over a vase in the lobby.",
"It leads to Ted injuring his back.",
"It causes a commotion that attracts other guests."
] | B | 1 | 0.2 | videos/95e83085a7e3d762f4a5134c532a27343db04e7a5acda8f0cf01c947c78e4d36.mp4 | 95e83085a7e3d762f4a5134c532a27343db04e7a5acda8f0cf01c947c78e4d36 | 5,868.544 | 0.0791 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-SA-4.0 |
UrbanVideo-Bench_4705 | UrbanVideo-Bench | spatial_physical | Spatial / physical | spatial_relation | You are navigating to the playground next to the building in front of you. What is the correct summary of your trajectory from the start to the current position? | [
"I start from the roof of the building, descend to the ground, and move toward the playground.",
"I start from a high altitude above the city, descend to the roof, and then move toward the playground.",
"I start from the roof, move along the roof to the edge, and then descend to the playground.",
"I start fro... | D | 3 | 0.2 | videos/0d65c151c4d41f3aa2cf7104ff5c67d7ae3ac97e0b24fd84e6096bee269a0e6a.mp4 | 0d65c151c4d41f3aa2cf7104ff5c67d7ae3ac97e0b24fd84e6096bee269a0e6a | 51.066667 | 0.0791 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | MIT |
S-EMBER_4677 | S-EMBER | spatial_physical | Spatial / physical | spatial_relation | From here, how do I get back to where I saw the painting of the woman with long blonde hair and babies floating all around her? | [
"Turn around and walk straight down the hallway, passing the long wooden bench on your right. Keep going straight through the next few rooms until you reach the room with wood-paneled walls, where the painting is hanging prominently on the far wall.",
"Turn around and walk back through the gallery with terracotta... | E | 4 | 0.2 | videos/d3f0d3ff117440b62435441f335ab15b1b138930fb6d0e54e4041e213e474ff6.mp4 | d3f0d3ff117440b62435441f335ab15b1b138930fb6d0e54e4041e213e474ff6 | 329.75 | 0.0862 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-4.0 |
SIS-Bench_1075 | SIS-Bench | spatial_physical | Spatial / physical | spatial_relation | Starting from the beginning of the video, with the drone overlooking high-rise residential buildings and streets, what action sequence should the drone execute to reach the central fountain in the square? | [
"First, yaw left 90 degrees, then fly forward, and finally descend to above the fountain.",
"First, yaw left 180 degrees, then fly forward, and finally descend to above the fountain.",
"First, yaw left 90 degrees, then yaw right 180 degrees, then fly forward, and finally descend to above the fountain.",
"Firs... | D | 3 | 0.25 | videos/7098710fb1b7f8ce42abfa4537afa06c710574973a22ff3d7cfa006512b1bd03.mp4 | 7098710fb1b7f8ce42abfa4537afa06c710574973a22ff3d7cfa006512b1bd03 | 59.466667 | 0.09 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | Apache-2.0 |
UrbanVideo-Bench_2630 | UrbanVideo-Bench | spatial_physical | Spatial / physical | spatial_relation | Navigation Instruction given at initial position: [take off and turn back and move forward towards the green tress and right and get closer to the red tree. now turn right and fly over the river till the red trees visible and move forward towards the road till the white building visible. now move forwards the top of th... | [
"I turn right and fly over the river until I see the red trees.",
"I head towards the road until I see the white building.",
"I go forward towards the top of the white building that has a tower on top.",
"I turn right, turn left, and walk forward until there is a banner on a brown building called \"Charlie's ... | E | 4 | 0.2 | videos/c47dd252918036e894dc829baf2c1295e557322c05290f854291262b3b814063.mp4 | c47dd252918036e894dc829baf2c1295e557322c05290f854291262b3b814063 | 220 | 0.0907 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | MIT |
S-EMBER_1732 | S-EMBER | spatial_physical | Spatial / physical | spatial_relation | From here, how do I get to the CHASE building? | [
"Keep heading straight along the street toward the large intersection, then cross to the opposite corner to reach the CHASE building.",
"The CHASE building is directly across the street, so simply walk straight ahead and cross at the next crosswalk to reach it.",
"Walk straight ahead and turn right at the next ... | E | 4 | 0.2 | videos/94fb571a38e29637756ba272068ba687cc78e703b62537f1c5778c8b365e124c.mp4 | 94fb571a38e29637756ba272068ba687cc78e703b62537f1c5778c8b365e124c | 330.583333 | 0.0928 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-4.0 |
UrbanVideo-Bench_1902 | UrbanVideo-Bench | spatial_physical | Spatial / physical | spatial_relation | In the starting position, you are asked to navigate over a residential lawn with a small blue house. What is the correct summary of your trajectory from the starting position to the current position? | [
"Start from a high altitude, descend to street level, and then move towards the target building.",
"Start from the street, rise to a height above the target building, and then descend toward the middle floor.",
"Start from the park, fly to the high-rise building, and then move horizontally to the current locati... | E | 4 | 0.2 | videos/737bf29502796b005746d09f5470901cad33e1cc1968c2b9a5bc879a094f9c85.mp4 | 737bf29502796b005746d09f5470901cad33e1cc1968c2b9a5bc879a094f9c85 | 19.65 | 0.094 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | MIT |
SIS-Bench_558 | SIS-Bench | spatial_physical | Spatial / physical | spatial_relation | What object is located to the rear of the yellow and white low-rise building? | [
"The high-rise building with the \"阳光城檀府\" sign",
"The shop with the blue-green billboard \"深圳市居众装饰集团\"",
"The blue swimming pool",
"The high-rise building with red walls and gray-white patterns"
] | C | 2 | 0.25 | videos/3af230e0b0d23d5cc882800a3e12bfa89bfc828fd3b4433bfea521363ea1baec.mp4 | 3af230e0b0d23d5cc882800a3e12bfa89bfc828fd3b4433bfea521363ea1baec | 5.375 | 0.0971 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | Apache-2.0 |
FAVOR-Bench_7413 | FAVOR-Bench | spatial_physical | Spatial / physical | spatial_relation | When the man in the red hat turns around and walks forward, what is the primary camera movement in the shot? | [
"Still",
"Push in",
"Pull back",
"Camera shake",
"Rotation"
] | D | 3 | 0.2 | videos/015a5244d60a70102f2aedf03e29dab0c626c0e5be1f80fb7ee922bd79a2a7d1.mp4 | 015a5244d60a70102f2aedf03e29dab0c626c0e5be1f80fb7ee922bd79a2a7d1 | 27.456599 | 0.098 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-NC-SA-4.0 |
Camera Movement Understanding (BU/Google)_3126 | Camera Movement Understanding (BU_Google) | spatial_physical | Spatial / physical | spatial_relation | How does the camera move in this video? | [
"Tilt down",
"Boom down",
"Static",
"Tilt up"
] | B | 1 | 0.25 | videos/84668990e560513239710d24fd58a11a73baa271f8fa127dba03609f39476a66.mp4 | 84668990e560513239710d24fd58a11a73baa271f8fa127dba03609f39476a66 | 4 | 0.0985 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
UrbanVideo-Bench_495 | UrbanVideo-Bench | spatial_physical | Spatial / physical | spatial_relation | If instead of descending further and skimming the tops of lower buildings, would you still be able to reach the lakefront area if you flew directly over mid-rise skyscrapers to the park? | [
"Fly directly over mid-rise skyscrapers and complete the mission because I maintain a faster speed, but the alternative route takes longer.",
"Fly directly over a mid-rise skyscraper, and I would not be able to complete my mission because I bypass the necessary descent point.",
"Fly directly over a mid-rise sky... | A | 0 | 0.333333 | videos/fdbc23c8ae3e71c19248895a0548090f0fde0dc820b36015c29e9ce7ae0c369f.mp4 | fdbc23c8ae3e71c19248895a0548090f0fde0dc820b36015c29e9ce7ae0c369f | 107 | 0.0993 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | MIT |
OVO-S-Bench_1514 | OVO-S-Bench | spatial_physical | Spatial / physical | spatial_relation | (Question asked at 379.3 s into the video; 'current' refers to that moment.) Based on the full video, which of the following most accurately describes the relationship between Area C, Area D, and Area E? | [
"They are interconnected interior rooms partitioned by fixed walls and high-security entryways.",
"They are continuous outdoor spaces consisting of a backyard, a patio, and a lawn area.",
"They are adjacent interior zones separated by structural barriers and heavy-duty sliding doors.",
"They are distinct indo... | B | 1 | 0.25 | videos/5ccaa954ea42ac6cf30fd35dff84afbbe9e716c85965d0c24d01135b1232d0a7.mp4 | 5ccaa954ea42ac6cf30fd35dff84afbbe9e716c85965d0c24d01135b1232d0a7 | 1,027 | 0.1018 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
Camera Movement Understanding (BU/Google)_3532 | Camera Movement Understanding (BU_Google) | spatial_physical | Spatial / physical | spatial_relation | What's the camera movement in this video? | [
"Push in",
"Zoom out",
"Tilt down",
"Roll counterclockwise"
] | D | 3 | 0.25 | videos/49abae74fe019c0a365e6c25f62f1794c96da464132b020a3e8067cabf427816.mp4 | 49abae74fe019c0a365e6c25f62f1794c96da464132b020a3e8067cabf427816 | 4 | 0.1031 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
VITATECS_6124 | VITATECS | spatial_physical | Spatial / physical | spatial_relation | Which caption correctly describes what happens in the video? | [
"a racing car is shown in front of which boys and girls are posing",
"a racing car is shown behind which boys and girls are posing"
] | B | 1 | 0.5 | videos/de8f9f26c0369d370baf8e3db5e62a3c95f471c6245b7cafb509f09b35030184.mp4 | de8f9f26c0369d370baf8e3db5e62a3c95f471c6245b7cafb509f09b35030184 | 11 | 0.1076 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-4.0 |
S-EMBER_7308 | S-EMBER | spatial_physical | Spatial / physical | spatial_relation | How can I get to the carousel entrance from here? | [
"Walk straight ahead down the walkway and turn right at the very first corner you reach.",
"Walk straight ahead along the path, and the carousel entrance will be clearly on your right.",
"Walk straight along the path through the park, passing the library building on your right side.",
"Step back, turn right, ... | D | 3 | 0.2 | videos/9f98f18c276db7a9d14d0a8827938c1fc40e120329c3ca99b77423938622c0df.mp4 | 9f98f18c276db7a9d14d0a8827938c1fc40e120329c3ca99b77423938622c0df | 600 | 0.1083 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-4.0 |
VF-Eval_688 | VF-Eval | spatial_physical | Spatial / physical | physics_causality | Identify any commonsense or physical violations in the video, including actions like objects floating, people walking through walls, or animals speaking. | [
"The smoke from the rocket dissipates instantly without dispersing.",
"The rocket size suddenly changed.",
"The rocket's material appears to change unexpectedly mid-flight.",
"There is a clear reflection of the rocket on the ground despite no reflective surface being present."
] | B | 1 | 0.25 | videos/2149a44b376a3cdbc6c08943749c52b4e16bfa25dc0f0243834715871e507c0e.mp4 | 2149a44b376a3cdbc6c08943749c52b4e16bfa25dc0f0243834715871e507c0e | 7 | 0.1096 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | MIT |
Camera Movement Understanding (BU/Google)_3879 | Camera Movement Understanding (BU_Google) | spatial_physical | Spatial / physical | spatial_relation | What's the camera movement in this video? | [
"Pull out",
"Push in",
"Zoom in",
"Tilt up"
] | D | 3 | 0.25 | videos/299027e43731d22f42438c7776facefe648f03f6615a8cfaa9ca2435cb39cf28.mp4 | 299027e43731d22f42438c7776facefe648f03f6615a8cfaa9ca2435cb39cf28 | 4 | 0.111 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
SIS-Bench_979 | SIS-Bench | spatial_physical | Spatial / physical | spatial_relation | Starting from the beginning of the video with the drone hovering at the upper middle position of the blue-walled residential building, what action sequence should the drone execute to reach the shop with the purple sign at the ground level? | [
"Fly forward maintaining altitude, then yaw left 90 degrees, continue flying forward to approach the target area, and finally descend to above the shop.",
"Move backward and pitch down, then descend, continue flying forward to approach the target area, and finally descend to above the shop.",
"Fly forward maint... | B | 1 | 0.25 | videos/e1d55cd5593d6209201d277495ebf45b5b14b03e49b7f67090b37fa21241a8e1.mp4 | e1d55cd5593d6209201d277495ebf45b5b14b03e49b7f67090b37fa21241a8e1 | 36.133333 | 0.1117 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | Apache-2.0 |
Camera Movement Understanding (BU/Google)_3597 | Camera Movement Understanding (BU_Google) | spatial_physical | Spatial / physical | spatial_relation | How does the camera move in this video? | [
"Boom down",
"Static",
"Pan right",
"Roll counterclockwise"
] | D | 3 | 0.25 | videos/08fe7771ad9332036611b6bfe1baf0cc0e7e783a7ea4f2c014701f6809a659b4.mp4 | 08fe7771ad9332036611b6bfe1baf0cc0e7e783a7ea4f2c014701f6809a659b4 | 4 | 0.1125 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
UrbanVideo-Bench_4671 | UrbanVideo-Bench | spatial_physical | Spatial / physical | spatial_relation | You are navigating to the roof of the red teaching building of a nearby school. What is the correct summary of your trajectory from the beginning to the current location? | [
"I take off low over the street, rise, and fly toward the school, passing several buildings.",
"I start from the ground near the building, rise directly to the red teaching building, and reach my current location.",
"I start from a high-rise building and move horizontally to my current location.",
"I fly towa... | D | 3 | 0.2 | videos/6653be97c0df690ba065ff38580c5a3a2c7d0e2a426dce6ce500241b5ee1ee88.mp4 | 6653be97c0df690ba065ff38580c5a3a2c7d0e2a426dce6ce500241b5ee1ee88 | 18.066667 | 0.1128 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | MIT |
TimeBlind_1929 | TimeBlind | spatial_physical | Spatial / physical | spatial_relation | Is the player's badminton racket touching the net? | [
"The racket does not appear to be touching the net.",
"The racket is clearly touching the net."
] | B | 1 | 0.5 | videos/e659c63e0aba0c1786fb8533bcbf612ea538ce1edbca276c1b1cc485974fc5d9.mp4 | e659c63e0aba0c1786fb8533bcbf612ea538ce1edbca276c1b1cc485974fc5d9 | 5 | 0.113 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
PerceptionTest_6350 | PerceptionTest | spatial_physical | Spatial / physical | physics_causality | Could the person have transferred what they are concealing from one hand to the other while shuffling their hands? | [
"What they conceal is not transferrable.",
"What they conceal is transferrable but there was no clear moment when that could have happened.",
"What they conceal is transferrable and there were moments when that could have happened."
] | A | 0 | 0.333333 | videos/1ac82e9578cc8cb5fde0ccd66f40150595ac435114f5e756d0faef0203363e71.mp4 | 1ac82e9578cc8cb5fde0ccd66f40150595ac435114f5e756d0faef0203363e71 | 19.156009 | 0.1151 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-4.0 |
S-EMBER_6325 | S-EMBER | spatial_physical | Spatial / physical | spatial_relation | After the man in black headphones and a dark grey shirt entered, where did he stand? | [
"He stood near the table with a red cup and a silver water bottle.",
"He walked up and stood directly in front of the McDelivery pickup counter.",
"He stood directly in front of the brightly lit McDelivery sign.",
"He stood next to the \"Can't resist cravings\" breakfast sandwich advertisement sign.",
"He s... | D | 3 | 0.2 | videos/c9e614b5716308f87f1d22e94229eef4acdda496826f774ea3a5d6af591ba87e.mp4 | c9e614b5716308f87f1d22e94229eef4acdda496826f774ea3a5d6af591ba87e | 576.333333 | 0.1153 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-NC-4.0 |
S-EMBER_7327 | S-EMBER | spatial_physical | Spatial / physical | spatial_relation | From here, how do I get to Central Cafe? | [
"Walk straight ahead toward the brightly lit Pershing Square bridge, cross the street, and you'll find Central Cafe on the left.",
"Walk straight to East 42nd Street, turn right, and continue under the Park Avenue viaduct where Central Cafe is on your left.",
"Turn around and walk straight back to the Pershing ... | C | 2 | 0.2 | videos/41ae73b82481af502b2b581da799a5cb45a7337bc05e388a76bf28ea422f75e9.mp4 | 41ae73b82481af502b2b581da799a5cb45a7337bc05e388a76bf28ea422f75e9 | 600 | 0.116 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-NC-4.0 |
AoTBench_5707 | AoTBench | spatial_physical | Spatial / physical | spatial_relation | Which caption best describes this video? | [
"The video is filmed from the first person's point of view about a car driving on the empty highway at night.",
"A car is driving backward on the empty highway at night."
] | B | 1 | 0.5 | videos/d92e3bf43255569813bda9a013b049400babe61a51d1ff63a6e8d7547f447fa1.mp4 | d92e3bf43255569813bda9a013b049400babe61a51d1ff63a6e8d7547f447fa1 | 16.090998 | 0.1166 | {
"verdict": "contradicted",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
UrbanVideo-Bench_3112 | UrbanVideo-Bench | spatial_physical | Spatial / physical | spatial_relation | Navigation Instruction given at initial position: [now take off and turn right and fly over the pond and closer the white building. now go over the buildings and turn left. now go over the road and buildings and move closer to the white building. now get little down and turn back and go forward until the grey building ... | [
"I go over the road and buildings and approach the white building.",
"I turn around.",
"I fly over the pond and approach the white building.",
"I turn right and fly across the pond.",
"I take off and turn right."
] | B | 1 | 0.2 | videos/ccd01d3b303c5e738a0034fdfeb15159be91e303c33b0890a4212d1a02cf4c07.mp4 | ccd01d3b303c5e738a0034fdfeb15159be91e303c33b0890a4212d1a02cf4c07 | 108 | 0.1186 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | MIT |
Camera Movement Understanding (BU/Google)_2088 | Camera Movement Understanding (BU_Google) | spatial_physical | Spatial / physical | spatial_relation | What camera movement is observed at the start of the scene? | [
"Camera remains static with no movement.",
"Camera shakes slightly then stabilizes.",
"Camera zooms in slowly on the insect.",
"Camera quickly pulls away from the insect."
] | D | 3 | 0.25 | videos/1e6f7f265670ea3f814bed239a58f98b47b2df0cb770da61a7238f9809ac886f.mp4 | 1e6f7f265670ea3f814bed239a58f98b47b2df0cb770da61a7238f9809ac886f | 2.244 | 0.1188 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
S-EMBER_3141 | S-EMBER | spatial_physical | Spatial / physical | spatial_relation | How do I get back to the first flight of stairs I walked up from here? | [
"Walk forward towards the main exit sign and follow the overhead arrows. Continue straight past the turnstiles, and then descend the wide flight of stairs with yellow safety edges to return to the stairs you originally walked up.",
"Walk back toward the blue plywood wall marked with black-and-yellow caution strip... | D | 3 | 0.2 | videos/79da70f743719c2f7747d2164f3aa35ff42ef13958465d0fddda0135dbc4393f.mp4 | 79da70f743719c2f7747d2164f3aa35ff42ef13958465d0fddda0135dbc4393f | 378.75 | 0.1201 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-NC-4.0 |
FAVOR-Bench_6255 | FAVOR-Bench | spatial_physical | Spatial / physical | spatial_relation | What is the primary camera movement throughout the video? | [
"Dolly in and rotation",
"Stationary",
"Dolly out and panning",
"Rapid zoom and rotation",
"Camera shake and follow shot"
] | E | 4 | 0.2 | videos/4e11225b837f61b872bd801f1895f5e8d422fec19428dac2133c727e097f2b19.mp4 | 4e11225b837f61b872bd801f1895f5e8d422fec19428dac2133c727e097f2b19 | 29.372993 | 0.1209 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-NC-SA-4.0 |
UrbanVideo-Bench_4351 | UrbanVideo-Bench | spatial_physical | Spatial / physical | spatial_relation | Navigation Instruction given at initial position: [Raise the altitude, fly over the opposite road, and fly in the direction of the mountains]. At the initial position, you are asked to navigate according to a series of movement instructions. When you arrive at your current location, what is the direction to this row of... | [
"I am located behind a row of buses.",
"I am located next to the bus row.",
"I am located in front of the bus row.",
"I am parked directly above the row of buses.",
"I am far away from the bus row."
] | E | 4 | 0.2 | videos/59e6228603c471f7c4651dc7a94fbaf6168525c30ae7250e50b3a25acfa1c02d.mp4 | 59e6228603c471f7c4651dc7a94fbaf6168525c30ae7250e50b3a25acfa1c02d | 150 | 0.1209 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | MIT |
MotionBench_897 | MotionBench | spatial_physical | Spatial / physical | spatial_relation | Does the camera perform any movement during the scene? | [
"Yes, it pans to the right",
"Yes, it pans to the upper left",
"No, the camera remains static",
"Yes, it pans downwards"
] | B | 1 | 0.25 | videos/a8c4ae0e922c2ffbdb617090d86acf9e14a3640e480072f55042039aafa74c37.mp4 | a8c4ae0e922c2ffbdb617090d86acf9e14a3640e480072f55042039aafa74c37 | 4.004 | 0.1234 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-NC-SA-4.0 |
ViMUL-Bench_7561 | ViMUL-Bench | spatial_physical | Spatial / physical | spatial_relation | یہ ایک نیویگیشن ویڈیو ہے جہاں ایک ایجنٹ ہدایات پر عمل کر رہا ہے: "سلائڈنگ شیشے کا دروازہ آپ کے پیچھے، کمرے سے باہر نکلیں اور جلدی سے بائیں طرف مُڑیں۔ باورچی خانے کے پاس جائیں، پھر دائیں مڑیں اور باورچی خانے اور کوچ کے درمیان کھڑے ہو جائیں." اگلا اقدام کیا ہونا چاہیے؟ | [
"بائیں مڑیں اور آگے بڑھیں۔",
"رک جاؤ",
"دائیں مڑیں اور آگے بڑھیں۔",
"آگے بڑھیں۔"
] | B | 1 | 0.25 | videos/d0b4b35c8a7b9d996f5253e837fc402142583e0d34bb7482ab6768f8d199c877.mp4 | d0b4b35c8a7b9d996f5253e837fc402142583e0d34bb7482ab6768f8d199c877 | 10.5 | 0.1244 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-SA-4.0 |
S-EMBER_2637 | S-EMBER | spatial_physical | Spatial / physical | spatial_relation | Where is my laptop? | [
"Your laptop is on the right side of your dresser.",
"Your laptop is on the desk in your work area.",
"Your laptop is on the table, partially behind the phone.",
"Your laptop is on the table near the background wall.",
"Your laptop is not currently visible anywhere in the video."
] | A | 0 | 0.2 | videos/bbeb649612422d01f53171ec392d07862ad442f464bf09eb051df6d99765b2d4.mp4 | bbeb649612422d01f53171ec392d07862ad442f464bf09eb051df6d99765b2d4 | 300 | 0.1248 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-4.0 |
Camera Movement Understanding (BU/Google)_3583 | Camera Movement Understanding (BU_Google) | spatial_physical | Spatial / physical | spatial_relation | What is the camera movement in this video? | [
"Roll counterclockwise",
"Tilt down",
"Zoom in",
"Static"
] | A | 0 | 0.25 | videos/2d84896ae960a349889c2e67dfd2efcd6122d826d6b73ad5613abb7f2cf2baf0.mp4 | 2d84896ae960a349889c2e67dfd2efcd6122d826d6b73ad5613abb7f2cf2baf0 | 4 | 0.1263 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
VRU-Accident_496 | VRU-Accident | spatial_physical | Spatial / physical | physics_causality | Why did the accident happen? Choose the correct option (A, B, C, or D) without any explanations. | [
"Driver was texting while driving",
"Pedestrian does not notice the coming vehicles when crossing the street.",
"Cyclist drives on the motorway for a long time",
"Road construction caused a sudden stop"
] | C | 2 | 0.25 | videos/f8b62126cdbb74daeece09f432571adf8de59dd102b324c7bec7f66037214e2a.mp4 | f8b62126cdbb74daeece09f432571adf8de59dd102b324c7bec7f66037214e2a | 3.2 | 0.1267 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
HourVideo_790 | HourVideo | spatial_physical | Spatial / physical | spatial_relation | Which is closer to the water pump engine: the bucket or the spanner? | [
"There is no bucket",
"The bucket is closer to the water pump engine",
"They are both equally close",
"The spanner is closer to the water pump engine",
"There is no spanner"
] | C | 2 | 0.2 | videos/9e309112d2839e36e6561684efdd1e232d624d3fe2bc05889011a1975b26ee52.mp4 | 9e309112d2839e36e6561684efdd1e232d624d3fe2bc05889011a1975b26ee52 | 4,414.197 | 0.1276 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | Apache-2.0 |
Camera Movement Understanding (BU/Google)_3544 | Camera Movement Understanding (BU_Google) | spatial_physical | Spatial / physical | spatial_relation | What's the camera movement in this video? | [
"Pan right",
"Truck left",
"Zoom in",
"Roll counterclockwise"
] | D | 3 | 0.25 | videos/19eef8024a39fa718649d04ec43887b2c9bdf1a758d5d378f6bee7cfe0ee088f.mp4 | 19eef8024a39fa718649d04ec43887b2c9bdf1a758d5d378f6bee7cfe0ee088f | 4 | 0.1279 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
Camera Movement Understanding (BU/Google)_3864 | Camera Movement Understanding (BU_Google) | spatial_physical | Spatial / physical | spatial_relation | What is the camera movement in this video? | [
"Static",
"Zoom in",
"Pan right",
"Tilt up"
] | D | 3 | 0.25 | videos/bf76cb6e2d738fed426397f2a0ca4ddc1a948a43552e2b5ad0c3fc3f7e42eb98.mp4 | bf76cb6e2d738fed426397f2a0ca4ddc1a948a43552e2b5ad0c3fc3f7e42eb98 | 4 | 0.1279 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
FAVOR-Bench_3373 | FAVOR-Bench | spatial_physical | Spatial / physical | spatial_relation | What is the main direction of camera movement in the video? | [
"Static",
"Dolly in",
"Dolly out",
"Arc movement",
"Pan left"
] | E | 4 | 0.2 | videos/495fce99936123340662081df03b3ece9e282b87a52004c22bfb83d05260397d.mp4 | 495fce99936123340662081df03b3ece9e282b87a52004c22bfb83d05260397d | 10 | 0.1289 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-NC-SA-4.0 |
S-EMBER_3478 | S-EMBER | spatial_physical | Spatial / physical | spatial_relation | How do I get back to the entrance of the store? | [
"Walk straight ahead and turn left. You will see the entrance on your right, marked with a sign that says 'EXIT'.",
"Turn left and go straight until reaching the coat section, then turn right and continue straight until the entrance is on your left.",
"Turn around and walk straight ahead down the main aisle to ... | B | 1 | 0.2 | videos/f4df73c14ac79ddc398cf5a147282979dea093835b2319ace0756a7a77c4ee5c.mp4 | f4df73c14ac79ddc398cf5a147282979dea093835b2319ace0756a7a77c4ee5c | 600.083333 | 0.1298 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-4.0 |
UrbanVideo-Bench_3500 | UrbanVideo-Bench | spatial_physical | Spatial / physical | spatial_relation | Navigation Instruction given at initial position: [take off and turn right and go over the brown buildings and get down towards the white terrace. now turn left and fly over the buildings and get down towards the trees. now turn left and cross the road and go over the buildings towards the ash terrace. now turn right a... | [
"I turn right and drive forward, toward the road.",
"I turn left, cross the road, reach the white building, and stay there.",
"I fall and then rise.",
"I go down to the white terrace.",
"I turn left, fly over the building, and land near the trees."
] | C | 2 | 0.2 | videos/cfd8016284133f3baa10e3d57249d42cbcb8ba51d258cbfeae127e7af2bd7089.mp4 | cfd8016284133f3baa10e3d57249d42cbcb8ba51d258cbfeae127e7af2bd7089 | 230 | 0.1316 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | MIT |
MotionBench_1601 | MotionBench | spatial_physical | Spatial / physical | physics_causality | Does the wire fence influence the wolf's movement path? | [
"No, but the wolf interacts with it",
"Yes, the wolf jumps over the fence",
"No, the wolf moves independently of the fence",
"Yes, it guides the wolf's entire path"
] | D | 3 | 0.25 | videos/9936feb4b516f379cb25bee1c5a785d51559c1e5a0fc168f8cbb307a786e332e.mp4 | 9936feb4b516f379cb25bee1c5a785d51559c1e5a0fc168f8cbb307a786e332e | 16.5165 | 0.1317 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-NC-SA-4.0 |
Camera Movement Understanding (BU/Google)_2951 | Camera Movement Understanding (BU_Google) | spatial_physical | Spatial / physical | spatial_relation | What's the camera movement in this video shot? | [
"Pan left",
"Roll counterclockwise",
"Static",
"Pull out"
] | B | 1 | 0.25 | videos/3df92726a9610ef838ea498e680c8d01022e38ac8d9b21d768d14b81ea98216e.mp4 | 3df92726a9610ef838ea498e680c8d01022e38ac8d9b21d768d14b81ea98216e | 8.957878 | 0.132 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
S-EMBER_8250 | S-EMBER | spatial_physical | Spatial / physical | spatial_relation | From where I am now, how do I get back to the bathroom? | [
"Turn around, walk back up the hallway you just came through and step into the first doorway on your right.",
"You are already in the bathroom, as shown by the sink, mirror, and toilet visible in your current location.",
"Turn around and walk back down the hallway toward the white door just outside the kitchen ... | D | 3 | 0.2 | videos/3b466507d56287f2f94eda5717cd186abbe4f6affce6e42dc9943f39066fc37f.mp4 | 3b466507d56287f2f94eda5717cd186abbe4f6affce6e42dc9943f39066fc37f | 347.833333 | 0.134 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-4.0 |
FAVOR-Bench_5647 | FAVOR-Bench | spatial_physical | Spatial / physical | spatial_relation | What is the primary camera movement in the video? | [
"Continuous camera shake",
"Stationary",
"Alternating between camera follow and camera shake",
"Camera rotation",
"Single direction pan"
] | C | 2 | 0.2 | videos/4d12b21070a1771bb85de4e7468c33b7b1a3866fa7725a34ee7f00b34a16c543.mp4 | 4d12b21070a1771bb85de4e7468c33b7b1a3866fa7725a34ee7f00b34a16c543 | 31.021995 | 0.1351 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-NC-SA-4.0 |
FAVOR-Bench_2407 | FAVOR-Bench | spatial_physical | Spatial / physical | spatial_relation | When both subjects are in a standing position, what is the movement characteristic of the camera lens? | [
"Alternating push and pull of the lens to create tension",
"The lens remains completely fixed",
"The lens maintains a stable eye-level angle",
"The lens sways slightly left and right",
"Continuous narrowing of the framing"
] | E | 4 | 0.2 | videos/f681732727f5bf802ec78117b95f4085fc16e0480bde75853556d2a50327ba70.mp4 | f681732727f5bf802ec78117b95f4085fc16e0480bde75853556d2a50327ba70 | 5.68 | 0.1374 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-NC-SA-4.0 |
AoTBench_5093 | AoTBench | spatial_physical | Spatial / physical | spatial_relation | Which caption best describes this video? | [
"This is an aerial shot of a car manufacturer's car distribution yard and as the camera zooms out, more and more vehicles of different colors and types appear in the shot, and the parked vehicles become increasingly dense.",
"The area with parked cars gets less congested as the overhead camera closes in, and movi... | B | 1 | 0.5 | videos/551feeb570831518649cdcc7c4e1b72e2c5f7436806922b894c1fd313c08cfbe.mp4 | 551feeb570831518649cdcc7c4e1b72e2c5f7436806922b894c1fd313c08cfbe | 14.5145 | 0.1385 | {
"verdict": "supported",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
S-EMBER_4991 | S-EMBER | spatial_physical | Spatial / physical | spatial_relation | How do I get back to the rack of cabinet samples I looked at earlier? | [
"Turn around and walk past the modern kitchen display and the KitchenAid sign.",
"Head towards the left side of the room near the entrance of the kitchen area.",
"Turn around and walk past the white kitchen display on your left, heading straight.",
"Turn around and walk back down the aisle you came from, look... | E | 4 | 0.2 | videos/d7713e39ee7d1e3b80273db1d8e63791706192276e87e4f422b24888f473a10b.mp4 | d7713e39ee7d1e3b80273db1d8e63791706192276e87e4f422b24888f473a10b | 313.916667 | 0.1386 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-4.0 |
S-EMBER_8767 | S-EMBER | spatial_physical | Spatial / physical | spatial_relation | Where did I put the hammer after using it? | [
"You placed the hammer on top of the red toolbox after using it.",
"You placed the hammer on the ground next to the orange jack stand.",
"You placed the hammer directly on the orange jack stand after using it.",
"You set the hammer back into the toolbox that was sitting on the workbench.",
"You placed the h... | E | 4 | 0.2 | videos/9758e0628f73e3561c0efccd84b57f0cbc0e6d20baaf6728459f1013c578e57a.mp4 | 9758e0628f73e3561c0efccd84b57f0cbc0e6d20baaf6728459f1013c578e57a | 300.166667 | 0.139 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-NC-4.0 |
Camera Movement Understanding (BU/Google)_3196 | Camera Movement Understanding (BU_Google) | spatial_physical | Spatial / physical | spatial_relation | What's the camera movement in this video? | [
"Push in",
"Zoom out",
"Tilt down",
"Boom up"
] | D | 3 | 0.25 | videos/765be5a475b830053db310d71886b4f2daad43aa3ce4a36e6c1943e3d8bc89e0.mp4 | 765be5a475b830053db310d71886b4f2daad43aa3ce4a36e6c1943e3d8bc89e0 | 4 | 0.1404 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
DSI-Bench_1373 | DSI-Bench | spatial_physical | Spatial / physical | spatial_relation | In this video clip, relative to its starting orientation and location, how is the observer's location moving? | [
"Moving left",
"Moving forward",
"Moving right",
"Moving backward"
] | A | 0 | 0.25 | videos/e732406c6370eb92e17e47c1c5e4e6ae85a33556c86663d6ae2ffc0ec64af99c.mp4 | e732406c6370eb92e17e47c1c5e4e6ae85a33556c86663d6ae2ffc0ec64af99c | 5.005 | 0.1404 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-4.0 |
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