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 14.1k | attack_pct float64 0 0.3 | verification dict | source_version stringclasses 2
values | license stringclasses 10
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
AoTBench_4125 | AoTBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"The man in a red vest and gloves puts the plastic bottles scattered on the ground into plastic bags.",
"The man in a red vest and gloves puts the plastic bottles in the plastic bags onto the ground in the forest."
] | B | 1 | 0.5 | videos/f5bd95d56ec0c2dbc47d796ac8fd377dccfd50a0e3afc73e17bb233987383633.mp4 | f5bd95d56ec0c2dbc47d796ac8fd377dccfd50a0e3afc73e17bb233987383633 | 19.92 | 0.0035 | {
"verdict": "supported",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
AoTBench_4791 | AoTBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"A disc is ejected from a black DVD player overlaid with a view of footage of a bright and breezy autumn day.",
"A disc covered with views of footage of a bright and breezy autumn day is pumped into the black DVD player."
] | B | 1 | 0.5 | videos/ce02ac77e49f36e80ce56c69c77cb4a42aaab48fa063fef1d842f8f2fffa5da9.mp4 | ce02ac77e49f36e80ce56c69c77cb4a42aaab48fa063fef1d842f8f2fffa5da9 | 23.84 | 0.0036 | {
"verdict": "supported",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
VITATECS_11025 | VITATECS | perception | Perception | perception_fine_grained_action | Which caption correctly describes what happens in the video? | [
"a man outside stands on a unicycle and balances himself",
"a man outisde sits on a unicycle and rides around"
] | B | 1 | 0.5 | videos/a2d9e4235579bfd3ce309ce3af9d2ad8a3322a2e7825d80f69fa1525bc4e193f.mp4 | a2d9e4235579bfd3ce309ce3af9d2ad8a3322a2e7825d80f69fa1525bc4e193f | 10.01 | 0.004 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-4.0 |
AoTBench_3938 | AoTBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"Watching at the screen for a while, the woman in a striped blouse stands up and organizes her dressing.",
"A woman sits behind an office table that is piled with many carboard boxes."
] | A | 0 | 0.5 | videos/e338daef1152e30d20ba5868b89fd7c68780f0377e9edb9fee629646fbb417b6.mp4 | e338daef1152e30d20ba5868b89fd7c68780f0377e9edb9fee629646fbb417b6 | 18.92 | 0.0054 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
TimeBlind_2337 | TimeBlind | perception | Perception | perception_fine_grained_action | What causes the water spill on the table to disappear? | [
"It is wiped away with a paper towel.",
"It is wiped away with a bare hand."
] | B | 1 | 0.5 | videos/99aa42804074f513c483027a501c0c07402dcf1a92b70f2909162f8f4743291d.mp4 | 99aa42804074f513c483027a501c0c07402dcf1a92b70f2909162f8f4743291d | 14.356 | 0.006 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
VITATECS_6831 | VITATECS | perception | Perception | perception_fine_grained_action | Which caption correctly describes what happens in the video? | [
"a man hold a heavy ball against the chest and throws it onto a field",
"a man hold a heavy ball against the face and throws it onto a field"
] | B | 1 | 0.5 | videos/cb51ff8c8f30bf161f52ef252264252b8579396e5e137c0070889c46fd5aee2c.mp4 | cb51ff8c8f30bf161f52ef252264252b8579396e5e137c0070889c46fd5aee2c | 8.266304 | 0.006 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-4.0 |
NaturalBench-Video_1473 | NaturalBench-Video | perception | Perception | perception_comparison | How is the height of the plant changing? | [
"The plant gets taller.",
"The plant gets shorter."
] | B | 1 | 0.5 | videos/2235c6e9a3f0034bc84e08ac11f5e6bcb53c5470d965901f181bb3ebdaa4fea6.mp4 | 2235c6e9a3f0034bc84e08ac11f5e6bcb53c5470d965901f181bb3ebdaa4fea6 | 9.9099 | 0.0068 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
AoTBench_4031 | AoTBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"A woman with curly hair and a plaid shirt stood by the fruit shelf, picking up three pears and putting them in a bag.",
"A woman with curly hair and a plaid shirt was standing by the fruit shelf, taking three pears and placing them on the shelf."
] | B | 1 | 0.5 | videos/8fcb374f924b562e4ee47f6b957205739cb5770b8a619b4208e41f0a5861bf0a.mp4 | 8fcb374f924b562e4ee47f6b957205739cb5770b8a619b4208e41f0a5861bf0a | 15.24 | 0.0088 | {
"verdict": "contradicted",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
AoTBench_4255 | AoTBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"A man wearing black socks is tying shoelaces on his black leather shoes.",
"A man wearing black socks is loosing shoelaces on his black leather shoes."
] | B | 1 | 0.5 | videos/806ca198079e8e2bac54df2cf38b8df074dc6bfa5330ac176973700a8fa23342.mp4 | 806ca198079e8e2bac54df2cf38b8df074dc6bfa5330ac176973700a8fa23342 | 20.08 | 0.0112 | {
"verdict": "contradicted",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
TemporalBench_23222 | TemporalBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"A boy riding a bicycle and turning towards his right while turning he just jerks off and get steady.",
"A boy riding a bicycle and turning towards his right while turning he wobbles and falls down."
] | A | 0 | 0.5 | videos/b028f2c62fbbba04cb6822167e6cd65f514f3fec1976c488f7558509915ee038.mp4 | b028f2c62fbbba04cb6822167e6cd65f514f3fec1976c488f7558509915ee038 | 8.465388 | 0.0121 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | |
AoTBench_5091 | AoTBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"The woman in red and black took some apples into a pink plastic bag.",
"The woman put five apples that were in the plastic bag on the supermarket shelves."
] | B | 1 | 0.5 | videos/f6e9e894bea67f657e33c30574e13aafcde33f9530b66d8643288d89c2b234a6.mp4 | f6e9e894bea67f657e33c30574e13aafcde33f9530b66d8643288d89c2b234a6 | 15.92 | 0.0142 | {
"verdict": "contradicted",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
VITATECS_4666 | VITATECS | perception | Perception | perception_fine_grained_action | Which caption correctly describes what happens in the video? | [
"a woman showing draft beer being poured out of a large pitcher and saying that bar tenders save beer because they catch it before it runs over the edge of the pitcher",
"a woman showing draft beer being put in a large pitcher and saying that bar tenders waste beer because they let it run over the edge of the pit... | B | 1 | 0.5 | videos/a1bd9c19e4becc86291273eeebdfbe6df75f1232ddb666f00087c84bba3e9638.mp4 | a1bd9c19e4becc86291273eeebdfbe6df75f1232ddb666f00087c84bba3e9638 | 10.0078 | 0.0142 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-4.0 |
NaturalBench-Video_993 | NaturalBench-Video | perception | Perception | perception_fine_grained_action | What is the motion of the racket? | [
"The racket is not noticeably shaking.",
"The racket is noticeably shaking."
] | B | 1 | 0.5 | videos/678e802ec514a4130ca7ee1974e011069d838e541a46fddee15df413e6678db8.mp4 | 678e802ec514a4130ca7ee1974e011069d838e541a46fddee15df413e6678db8 | 5.433333 | 0.0146 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
TOC-Bench_471 | TOC-Bench | perception | Perception | perception_hallucination | Does bed ever leave the frame in the video? | [
"bed does leaves the frame",
"bed never leaves the frame"
] | A | 0 | 0.5 | videos/22d250ed0c2c52044269ab8d60c35c89b36c448e8c552ff08ded94bcc61cc5dc.mp4 | 22d250ed0c2c52044269ab8d60c35c89b36c448e8c552ff08ded94bcc61cc5dc | 18.645011 | 0.0146 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | custom |
VITATECS_9387 | VITATECS | perception | Perception | perception_fine_grained_action | Which caption correctly describes what happens in the video? | [
"a baseball player runs around and then several children play basketball in a pool",
"a baseball player swings his bat and then several children splash water in a pool"
] | A | 0 | 0.5 | videos/04faa335f26f86820a687c73acc2e4a98f618a940e9ebc6780ff5dad5b5f562e.mp4 | 04faa335f26f86820a687c73acc2e4a98f618a940e9ebc6780ff5dad5b5f562e | 12 | 0.0153 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-4.0 |
AoTBench_4983 | AoTBench | perception | Perception | perception_attribute | Which caption best describes this video? | [
"The farmer wearing black rubber boots is walking slowly through the corn seedings, which are cultivated in rows.",
"It is a corn field that a farmer in khaki pants is walking on."
] | B | 1 | 0.5 | videos/b2f306695cc171aff26066a44051651b7ce19000fd55d0e0cd61d85b538c9141.mp4 | b2f306695cc171aff26066a44051651b7ce19000fd55d0e0cd61d85b538c9141 | 15.015 | 0.0165 | {
"verdict": "contradicted",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
VITATECS_11919 | VITATECS | perception | Perception | perception_fine_grained_action | Which caption correctly describes what happens in the video? | [
"a man in a cap is polishing an item to a shiny finish",
"a man in a cap is painting an item the color gold"
] | B | 1 | 0.5 | videos/b37166d1de9e231be8aa6c1d00f9b0b349477adeea250916744294048a5df56e.mp4 | b37166d1de9e231be8aa6c1d00f9b0b349477adeea250916744294048a5df56e | 10.015805 | 0.0165 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-4.0 |
AoTBench_4027 | AoTBench | perception | Perception | perception_object_misidentify | Which caption best describes this video? | [
"A young beautiful woman with headphones closes her eyes, and holds her cheeks to enjoy the music, at the end, she dropped her hands down.",
"A beautiful girl lays down on the yoga mat cheerfully after workouting at home."
] | B | 1 | 0.5 | videos/dcc3546a5d0875b6b6f2c5f54730f728247b7685a5b6dad8955d66942a6f7bc3.mp4 | dcc3546a5d0875b6b6f2c5f54730f728247b7685a5b6dad8955d66942a6f7bc3 | 15.4 | 0.0187 | {
"verdict": "contradicted",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
TemporalBench_20343 | TemporalBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"A man using both hands in order to try to remove an inter tube from in between the tire and the rim like it's supposed to be as they're feeding this inter tube they are rotating the wheel as well.",
"A man using both hands in order to try to get an interview in between the tire and the rim like it's supposed to ... | B | 1 | 0.5 | videos/6492fd204ffd0e5cfe22689bd3f5d2b63cf21b5d679d0b8859d5f7f99355f78b.mp4 | 6492fd204ffd0e5cfe22689bd3f5d2b63cf21b5d679d0b8859d5f7f99355f78b | 9.666667 | 0.0215 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | |
AoTBench_4997 | AoTBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"A wild boar is walking in the forest covered with heavy snow to search for food.",
"A wild boar is walking backward in the forest covered with heavy snow to search for food."
] | B | 1 | 0.5 | videos/9a0417e65d037ef5db9748c823fe0e1dc8dcddf16077a98412b67882b6b9968e.mp4 | 9a0417e65d037ef5db9748c823fe0e1dc8dcddf16077a98412b67882b6b9968e | 21.7 | 0.0219 | {
"verdict": "contradicted",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
VITATECS_9048 | VITATECS | perception | Perception | perception_fine_grained_action | Which caption correctly describes what happens in the video? | [
"a funny video with young children jogging in place and singing about it",
"a funny video with young children hopping in place and singing about it"
] | A | 0 | 0.5 | videos/04e29a3a7b7097a90c0376c3a15f36b82100a4f2c88472c3ecdcccb439afdc1f.mp4 | 04e29a3a7b7097a90c0376c3a15f36b82100a4f2c88472c3ecdcccb439afdc1f | 12 | 0.0237 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-4.0 |
AoTBench_4837 | AoTBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"One successful businessman wearing sunglasses in a black suit walks outside near the building.",
"One successful businessman with a pair of black glasses walks backward the building."
] | B | 1 | 0.5 | videos/59139b983184d082d6ee52e5d77a6d2491c7efabab26a28ff6534ec28f6e1c0e.mp4 | 59139b983184d082d6ee52e5d77a6d2491c7efabab26a28ff6534ec28f6e1c0e | 21.6 | 0.0246 | {
"verdict": "contradicted",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
TempCompass_838 | TempCompass | perception | Perception | perception_attribute | Which caption matches the video better? | [
"The texture of the leaf is turning from green to yellow.",
"The leaf is turning from green to white."
] | B | 1 | 0.5 | videos/8ca72bb2ca37a4c55d79146df2cff8e8cbb4625144b317de3352c4cdd1c43278.mp4 | 8ca72bb2ca37a4c55d79146df2cff8e8cbb4625144b317de3352c4cdd1c43278 | 13.6 | 0.0261 | {
"verdict": "contradicted",
"keep_reason": "reversed_clip"
} | census_v4 | |
TOC-Bench_265 | TOC-Bench | perception | Perception | perception_hallucination | Does woman with red nails ever disappear for good in the video? | [
"woman with red nails does disappear for good",
"woman with red nails never disappears for good"
] | A | 0 | 0.5 | videos/765af2aed1f850f05ef8151c36315b54cb2f0fb0ab49f38552550d711d38ee0e.mp4 | 765af2aed1f850f05ef8151c36315b54cb2f0fb0ab49f38552550d711d38ee0e | 32.533 | 0.0269 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | custom |
AoTBench_4129 | AoTBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"A woman with a smile is very gently folding five pairs of socks of different colors.",
"Five pairs of folded socks in different colors were laid flat on a table by a woman."
] | B | 1 | 0.5 | videos/e7ad58a382bcfc34e11b24e531e1d11debfc404db30378c3791c278a28aaa2bc.mp4 | e7ad58a382bcfc34e11b24e531e1d11debfc404db30378c3791c278a28aaa2bc | 17 | 0.0273 | {
"verdict": "contradicted",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
NaturalBench-Video_1693 | NaturalBench-Video | perception | Perception | perception_fine_grained_action | What does the dog do in the video? | [
"The dog puts its paw on the bed.",
"The dog puts its paws away from the bed."
] | B | 1 | 0.5 | videos/c0183dd04162520eb8bdfd9f6f0ea9fd83dffffcef5d845fb2e6fe913e0594cd.mp4 | c0183dd04162520eb8bdfd9f6f0ea9fd83dffffcef5d845fb2e6fe913e0594cd | 1.266667 | 0.0292 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
VELOCITI_5958 | VELOCITI | perception | Perception | perception_object_misidentify | Which caption describes the video? | [
"Outside, a woman is yelling at a man with black hair.",
"In the backyard, the blonde woman is shaking devastated upon seeing the dead man."
] | A | 0 | 0.5 | videos/9ec0b3754ca477d3675b279d28b6707edcf781f057a1a94ca326a55fae751793.mp4 | 9ec0b3754ca477d3675b279d28b6707edcf781f057a1a94ca326a55fae751793 | 10.01 | 0.0312 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-NC-SA-4.0 |
TempCompass_773 | TempCompass | perception | Perception | perception_fine_grained_action | Which caption matches the video better? | [
"A person is dropping down the pineapple.",
"The pineapple is being pushed forward by a person."
] | A | 0 | 0.5 | videos/7bb8e209639d428b3f7cf3ced39f456572e148b98112c382becdaba5eae6358d.mp4 | 7bb8e209639d428b3f7cf3ced39f456572e148b98112c382becdaba5eae6358d | 8.12 | 0.0324 | {
"verdict": "supported",
"keep_reason": "reversed_clip"
} | census_v4 | |
TemporalBench_20037 | TemporalBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"Someone is sitting on a rug, trying to remove the bicycle tire from the rim. He holds the tire with his left hand and stands up to gain better balance. While still holding the tire with his left hand, he uses a tool in his right hand to separate the tire from the rim and begins the process.",
"Someone is sitting... | A | 0 | 0.5 | videos/484ebbe959dc3337937a82db63633f9a35f860ed3076707b003033f3ea2e8cec.mp4 | 484ebbe959dc3337937a82db63633f9a35f860ed3076707b003033f3ea2e8cec | 13.266667 | 0.0326 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | |
AoTBench_5491 | AoTBench | perception | Perception | perception_object_misidentify | Which caption best describes this video? | [
"In front of a black background, a hand holds a white megaphone, and a text animation of \"LISTEN\" appears from the megaphone.",
"A red \"LISTEN\" text animation floats in the air and gradually enters the white microphone."
] | B | 1 | 0.5 | videos/8138c758c25b9b956563909b88e1230b10c36561a11edbc216627f9f6a0e80be.mp4 | 8138c758c25b9b956563909b88e1230b10c36561a11edbc216627f9f6a0e80be | 15.015 | 0.0349 | {
"verdict": "supported",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
TempCompass_818 | TempCompass | perception | Perception | perception_fine_grained_action | Which caption matches the video better? | [
"The golden particles are contracting.",
"The golden particles are exploding."
] | A | 0 | 0.5 | videos/eeca05c5bd5e3e100eb04d77dfa0b6ebd3458de642e21538c7860a891c0a0759.mp4 | eeca05c5bd5e3e100eb04d77dfa0b6ebd3458de642e21538c7860a891c0a0759 | 7 | 0.0369 | {
"verdict": "supported",
"keep_reason": "reversed_clip"
} | census_v4 | |
AoTBench_5903 | AoTBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"Wonderful hilly terrain with high natural mountains and dense green forest top view raising over winding asphalt road with moving cars at sunset or sunrise.",
"Two cars are backing up over a winding asphalt road with wonderful hilly terrain with high natural mountains and dense green forest top view raising"
] | B | 1 | 0.5 | videos/d6b7428fe6aaa32fa25fc9872d8b6d50ba9d7576f6113745551656de26af7333.mp4 | d6b7428fe6aaa32fa25fc9872d8b6d50ba9d7576f6113745551656de26af7333 | 18.284933 | 0.038 | {
"verdict": "contradicted",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
TempCompass_4623 | TempCompass | perception | Perception | perception_comparison | How is the building changing? | [
"staying the same",
"getting shorter",
"growing taller"
] | B | 1 | 0.333333 | videos/b6726fc18547ef3bf6b58ac15d64fcb920de686e4877639885888e7db481a6ba.mp4 | b6726fc18547ef3bf6b58ac15d64fcb920de686e4877639885888e7db481a6ba | 8.340284 | 0.0404 | {
"verdict": "supported",
"keep_reason": "reversed_clip"
} | census_v4 | |
TimeBlind_1481 | TimeBlind | perception | Perception | perception_fine_grained_action | What is being done with the fuel nozzle and the car's fuel tank? | [
"The nozzle is being inserted into the car's fuel tank.",
"The nozzle is being removed from the car's fuel tank."
] | B | 1 | 0.5 | videos/1ab86068c0a58974d7072ac5cbf963a4645128a4e7868012c413ffe502d592be.mp4 | 1ab86068c0a58974d7072ac5cbf963a4645128a4e7868012c413ffe502d592be | 2.909002 | 0.0421 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
Video-MME_2487 | Video-MME | perception | Perception | perception_fine_grained_action | According to this video, what can you do if wanting to draw multiple neat lines using only one marker pen? | [
"Use a ruler to create parallel lines.",
"Place strips of masking tape on the paper.",
"Draw a grid of evenly spaced horizontal and vertical lines.",
"Bind several marker pens with adhesive tapes."
] | D | 3 | 0.25 | videos/b051a9e75681284758e32fb5d2d3f7430dee718d10c4a4433f9afb666ba9bc16.mp4 | b051a9e75681284758e32fb5d2d3f7430dee718d10c4a4433f9afb666ba9bc16 | 3,557.041633 | 0.0421 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | |
ScaleLong_1297 | ScaleLong | perception | Perception | perception_object_misidentify | What types of food and beverages are offered at Amnpuro Manila Lounge? | [
"Hot dishes, sweet treats",
"Buffet of hot dishes, sweet treats, premium food & refreshments",
"Soft drinks, water, tea, coffee, mango juice, mango cakes, coconut cakes, savory spinach turnovers, and bread rolls",
"Flavored water, local citrus juice, and cookies"
] | D | 3 | 0.25 | videos/5eb58301d5082fa9d5d470d9b3fe1b454cf2141dcd121bc933b11e512c156225.mp4 | 5eb58301d5082fa9d5d470d9b3fe1b454cf2141dcd121bc933b11e512c156225 | 5,860.266667 | 0.0431 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | unknown |
AoTBench_4025 | AoTBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"A man's hand brings the photo filter to the camera lens and spins the filter clockwise to install the filter on the camera.",
"A man who is spinning the filter installed on the camera then removes the filter from the camera."
] | B | 1 | 0.5 | videos/bfa8f7bde750d553ac4aacb2bc80637d0dcd607fbb5524c45b7c0e5b95deda23.mp4 | bfa8f7bde750d553ac4aacb2bc80637d0dcd607fbb5524c45b7c0e5b95deda23 | 27.376009 | 0.0453 | {
"verdict": "supported",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
VITATECS_13830 | VITATECS | perception | Perception | perception_fine_grained_action | Which caption correctly describes what happens in the video? | [
"a man prepares several pieces of red meat for the grilling and seasoning process",
"a man prepares several pieces of red meat for the marination and dehydrating process"
] | B | 1 | 0.5 | videos/1fd5b6ff0f5af6e633db949ed21ca410f583fe13760d08c02c4103e0a9821f5b.mp4 | 1fd5b6ff0f5af6e633db949ed21ca410f583fe13760d08c02c4103e0a9821f5b | 10.016802 | 0.0453 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-4.0 |
TOC-Bench_1596 | TOC-Bench | perception | Perception | perception_hallucination | Does hand with pink nail polish ever disappear for good in the video? | [
"hand with pink nail polish does disappear for good",
"hand with pink nail polish never disappears for good"
] | A | 0 | 0.5 | videos/9227ff954841f6468abeeae048e21fe6104a62a00ae77ec2c8336d3345c64c28.mp4 | 9227ff954841f6468abeeae048e21fe6104a62a00ae77ec2c8336d3345c64c28 | 14.741 | 0.048 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | custom |
AoTBench_4425 | AoTBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"A woman is skillfully wrapping a piece of yarn around two sticks.",
"A piece of yarn was gradually pulled out from two yarn sticks by a nimble girl."
] | B | 1 | 0.5 | videos/bee277af78ee0bcfc65004e9f4941a2e59d2f7080c79a416ecb641d8c5bd2849.mp4 | bee277af78ee0bcfc65004e9f4941a2e59d2f7080c79a416ecb641d8c5bd2849 | 20.12 | 0.0516 | {
"verdict": "contradicted",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
TOC-Bench_199 | TOC-Bench | perception | Perception | perception_hallucination | Does mirror on wall ever enter the frame in the video? | [
"mirror on wall does enter the frame",
"mirror on wall never enters the frame"
] | A | 0 | 0.5 | videos/5b787f029b9ec0059bad68f33af867653de49cf89735fa2a33ea7f3a5a0e24ba.mp4 | 5b787f029b9ec0059bad68f33af867653de49cf89735fa2a33ea7f3a5a0e24ba | 33.320998 | 0.0516 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | custom |
AoTBench_5231 | AoTBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"Against the black background, a man's hand inserts bread toast and turns on the orange toaster.",
"Pulling the switch up, someone takes off two bread toast that haven't been baked yet."
] | B | 1 | 0.5 | videos/0b3b08a4e3ddbcd02533979e396af2c63f39f3010c2bbf6ae4f9f892bc9d2211.mp4 | 0b3b08a4e3ddbcd02533979e396af2c63f39f3010c2bbf6ae4f9f892bc9d2211 | 19.019 | 0.0545 | {
"verdict": "supported",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
NaturalBench-Video_1237 | NaturalBench-Video | perception | Perception | perception_fine_grained_action | How does the vacuum cleaner move? | [
"It moves forward.",
"It moves backward."
] | B | 1 | 0.5 | videos/d41bc5b199574c68ad39a37bbcd1903c18a9d2932291990d3d5803e2bfcde775.mp4 | d41bc5b199574c68ad39a37bbcd1903c18a9d2932291990d3d5803e2bfcde775 | 5.222993 | 0.0545 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
AoTBench_4517 | AoTBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"Removing the white zipper gradually from top to bottom to expose the black background within.",
"To eliminate the black background, we use a white zipper to close the white curtain, allowing for clearer colors to be seen."
] | B | 1 | 0.5 | videos/df28d73e3c198844cc9944a07133ffe65cdc4405404e54db96ae39638e6e6382.mp4 | df28d73e3c198844cc9944a07133ffe65cdc4405404e54db96ae39638e6e6382 | 15.4 | 0.0549 | {
"verdict": "supported",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
TOC-Bench_1808 | TOC-Bench | perception | Perception | perception_hallucination | Does red t-shirt ever disappear for good in the video? | [
"red t-shirt does disappear for good",
"red t-shirt never disappears for good"
] | A | 0 | 0.5 | videos/2656a58f8ba458b73061fd6eca0167de36d144bcfd717cfd5119e480d72c40b9.mp4 | 2656a58f8ba458b73061fd6eca0167de36d144bcfd717cfd5119e480d72c40b9 | 30.348005 | 0.0549 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | custom |
VF-Eval_2566 | VF-Eval | perception | Perception | perception_low_visual_quality | Given the video, please check for quality problems such as blurry images, low resolution, or distortion. | [
"There are no visible signs of blurriness or poor image quality in the video.",
"The quality of the crayon is poor, and its material and surface color are abnormal.",
"The crayon has a smooth surface, and its resolution appears to meet high-quality standards.",
"The resolution of the crayon's details is sharp... | B | 1 | 0.25 | videos/30c4da4d823b12db3c1f53dddc8c259d209fb1bec1c75398d76ca877274191b5.mp4 | 30c4da4d823b12db3c1f53dddc8c259d209fb1bec1c75398d76ca877274191b5 | 8.08 | 0.0566 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | MIT |
TOC-Bench_1273 | TOC-Bench | perception | Perception | perception_hallucination | Does picture frame ever leave the frame in the video? | [
"picture frame does leave the frame",
"picture frame never leaves the frame"
] | A | 0 | 0.5 | videos/5b4a9e2bd26d02bd752e7c9d3ed565a51757f8948320610a762ace8440b01def.mp4 | 5b4a9e2bd26d02bd752e7c9d3ed565a51757f8948320610a762ace8440b01def | 25.541995 | 0.0569 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | custom |
VITATECS_13542 | VITATECS | perception | Perception | perception_fine_grained_action | Which caption correctly describes what happens in the video? | [
"a lady showing how to burn wood and talking about it",
"a lady demonstrating how to carve wood and talking about it"
] | A | 0 | 0.5 | videos/88839c0fbb80b65b8eae43dcd5a225702faad1343643211642a6e857747b7702.mp4 | 88839c0fbb80b65b8eae43dcd5a225702faad1343643211642a6e857747b7702 | 10.01 | 0.0569 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-4.0 |
TOC-Bench_690 | TOC-Bench | perception | Perception | perception_hallucination | Does refrigerator ever leave the frame in the video? | [
"refrigerator never leaves the frame",
"refrigerator does leave the frame"
] | B | 1 | 0.5 | videos/c54bba0bd9c3edfbf4811c73fa496dd29ee0575992174f4fa980ccffed3df9ac.mp4 | c54bba0bd9c3edfbf4811c73fa496dd29ee0575992174f4fa980ccffed3df9ac | 34.852993 | 0.0604 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | custom |
TOC-Bench_668 | TOC-Bench | perception | Perception | perception_hallucination | Does white bowl ever get fully hidden in the video? | [
"white bowl does get fully hidden",
"white bowl never gets fully hidden"
] | A | 0 | 0.5 | videos/e052025eb9bd883ce85a60e4ab3566fbf4712fb38158bf40d1f28e90ab2694f9.mp4 | e052025eb9bd883ce85a60e4ab3566fbf4712fb38158bf40d1f28e90ab2694f9 | 30.975011 | 0.0622 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | custom |
VELOCITI_1319 | VELOCITI | perception | Perception | perception_fine_grained_action | Which caption describes the video? | [
"In a building, a man in a white shirt is eating a bar.",
"In a building, a man in a white shirt is slowly opening a door."
] | A | 0 | 0.5 | videos/3cb07d5c5f7434fe224106cccc415fa70932e3486d6d77278233c28a6d265fe3.mp4 | 3cb07d5c5f7434fe224106cccc415fa70932e3486d6d77278233c28a6d265fe3 | 10.010667 | 0.0627 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-NC-SA-4.0 |
AoTBench_4917 | AoTBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"The man in a gray T-shirt leisurely passed by the goal with a deflated football in his hand.",
"There was a red goal and a man walked backward past it with a deflated football."
] | B | 1 | 0.5 | videos/7427969c60af1bb48ff4f8acd46d25a513b9e4a8cad518486a9a5945f8f4ad95.mp4 | 7427969c60af1bb48ff4f8acd46d25a513b9e4a8cad518486a9a5945f8f4ad95 | 19.05175 | 0.0632 | {
"verdict": "contradicted",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
TOC-Bench_1162 | TOC-Bench | perception | Perception | perception_hallucination | Does wooden cabinet ever leave the frame in the video? | [
"wooden cabinet does leave the frame",
"wooden cabinet never leaves the frame"
] | A | 0 | 0.5 | videos/9ef0ae96787cb7611685d8d8853bf37d944c2501d03d9dcc1ed466f4b0839000.mp4 | 9ef0ae96787cb7611685d8d8853bf37d944c2501d03d9dcc1ed466f4b0839000 | 33.785011 | 0.0632 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | custom |
VITATECS_12994 | VITATECS | perception | Perception | perception_fine_grained_action | Which caption correctly describes what happens in the video? | [
"a female and male saxophone player are seated while having a discussion with another woman",
"a female and male saxophone player are seated while playing a song with another woman"
] | A | 0 | 0.5 | videos/e53bdd368a9d06681bbafd349e3dcdc1199ad1de7b9fcbfb8dc667b6df885fcc.mp4 | e53bdd368a9d06681bbafd349e3dcdc1199ad1de7b9fcbfb8dc667b6df885fcc | 9.203107 | 0.0632 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-4.0 |
S-EMBER_2795 | S-EMBER | perception | Perception | ocr_text | What temperature did I set the oven to? | [
"You set the oven to 400°F.",
"You set the oven to 425°F.",
"You set the oven to 350°F.",
"No temperature was set.",
"You set the oven to 100°C."
] | E | 4 | 0.2 | videos/7c61c41dfb9110240943a7cd8d3d93af282c2c219e1d0badd182387acfd469be.mp4 | 7c61c41dfb9110240943a7cd8d3d93af282c2c219e1d0badd182387acfd469be | 300 | 0.0642 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-4.0 |
VELOCITI_141 | VELOCITI | perception | Perception | perception_hallucination | Which caption describes the video? | [
"On the set, the man in the lab coat is shouting to the woman.",
"On a sound stage, the man in the lab coat is lifting the brunette woman in red up into the air with effort from the ground."
] | A | 0 | 0.5 | videos/f5b8634306cc5660309c5679cee101192cbbbe84d8d66f178295822532a2fc84.mp4 | f5b8634306cc5660309c5679cee101192cbbbe84d8d66f178295822532a2fc84 | 10.01 | 0.0647 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-NC-SA-4.0 |
SLVMBench_2012 | SLVMBench | perception | Perception | perception_localization | After identifying the nodes on the pothos vine, where exactly should you make the cut? | [
"You should cut the stem right below the node.",
"You should cut the stem right at the node.",
"You should cut the stem above the node.",
"You should cut the stem through the node.",
"You should cut the stem right in between the nodes."
] | E | 4 | 0.2 | videos/2caa05664b9f2741e13780d32d34507f3091e99e7242981fe594a6d5341818b6.mp4 | 2caa05664b9f2741e13780d32d34507f3091e99e7242981fe594a6d5341818b6 | 67.241 | 0.0653 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | Apache-2.0 |
AoTBench_5229 | AoTBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"A man who is packing his bags puts each item into his backpack and zips it up.",
"A strong man unzipped his travel bag and took out the small items one by one."
] | B | 1 | 0.5 | videos/ecb22c22db4bb7c347f9d430db09c77baba0b1439998a80bd153501b935fef62.mp4 | ecb22c22db4bb7c347f9d430db09c77baba0b1439998a80bd153501b935fef62 | 19.019 | 0.0666 | {
"verdict": "supported",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
TimeBlind_1917 | TimeBlind | perception | Perception | perception_fine_grained_action | Does the racket wobble noticeably? | [
"The racket does not wobble noticeably.",
"The racket wobbles noticeably."
] | B | 1 | 0.5 | videos/e43da81aa3e2eb62b2aba18e5555ede9f372633f63fc9e03470244d46e94ac79.mp4 | e43da81aa3e2eb62b2aba18e5555ede9f372633f63fc9e03470244d46e94ac79 | 5.433333 | 0.069 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
TOC-Bench_45 | TOC-Bench | perception | Perception | perception_hallucination | Does framed picture ever enter the frame in the video? | [
"framed picture does enter the frame",
"framed picture never enters the frame"
] | A | 0 | 0.5 | videos/381032e9d61ae66911f98319f1d7f2ee673f266b76c15e8e53526d3e851b3b94.mp4 | 381032e9d61ae66911f98319f1d7f2ee673f266b76c15e8e53526d3e851b3b94 | 32.879002 | 0.0707 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | custom |
S-EMBER_3697 | S-EMBER | perception | Perception | ocr_text | How much was the White Out branded product directly to the right of the pencil sharpener I just picked up? | [
"The White Out branded product was priced at $2.49.",
"The White Out branded product was priced at $2.79.",
"The White Out branded product was priced at $1.79.",
"The White Out branded product was priced at $3.49.",
"The White Out branded product was priced at $24.99."
] | E | 4 | 0.2 | videos/ce03d11656de64f8d7869cd3cf6814afc3eaedcfbfb5d36eed3666743977a883.mp4 | ce03d11656de64f8d7869cd3cf6814afc3eaedcfbfb5d36eed3666743977a883 | 600.083333 | 0.0708 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-4.0 |
AoTBench_5405 | AoTBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"A grandmother with two green crutches white shoes and a blouse walks down a country road.",
"On a green path, a grandmother in white shoes and blouse walks backward on two green crutches."
] | B | 1 | 0.5 | videos/5e1618cbbe5793d68f40fc4723076e873bfc120cb44fb776e9ab69aef9a663dc.mp4 | 5e1618cbbe5793d68f40fc4723076e873bfc120cb44fb776e9ab69aef9a663dc | 14.5145 | 0.0713 | {
"verdict": "supported",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
TOC-Bench_865 | TOC-Bench | perception | Perception | perception_hallucination | Does wooden cabinets ever leave the frame in the video? | [
"wooden cabinets does leave the frame",
"wooden cabinets never leave the frame"
] | A | 0 | 0.5 | videos/fe8c456459985ca9ac792a8f2a30b6b6bf121ffafb2fb927d09db0c07592f99b.mp4 | fe8c456459985ca9ac792a8f2a30b6b6bf121ffafb2fb927d09db0c07592f99b | 30.231995 | 0.0718 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | custom |
TOC-Bench_1290 | TOC-Bench | perception | Perception | perception_hallucination | Does green plastic bottle ever get fully hidden in the video? | [
"green plastic bottle never gets fully hidden",
"green plastic bottle does get fully hidden"
] | B | 1 | 0.5 | videos/e81327ab1b22f6615c48cd835813a47207a24106a32c5d5ecd0e6f75434468c3.mp4 | e81327ab1b22f6615c48cd835813a47207a24106a32c5d5ecd0e6f75434468c3 | 20.971 | 0.0725 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | custom |
ALLVB_24254 | ALLVB | perception | Perception | perception_comparison | How do the emotions of Silvio and his wife contrast in the kitchen scene? | [
"Silvio is joyful, while his wife is indifferent.",
"Silvio is angry, while his wife is calm.",
"Silvio is anxious, while his wife is relaxed.",
"Silvio is fearful, while his wife is confident.",
"Silvio is sad, while his wife is happy."
] | A | 0 | 0.2 | videos/52f5f472da041b6b30b082dde0ac4e83268ae9ade18e00ee495aeb83c58d36fd.mp4 | 52f5f472da041b6b30b082dde0ac4e83268ae9ade18e00ee495aeb83c58d36fd | 7,280.32 | 0.0733 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-SA-4.0 |
VITATECS_8206 | VITATECS | perception | Perception | perception_fine_grained_action | Which caption correctly describes what happens in the video? | [
"certain species of fish crawling around on the ocean floor",
"certain species of fish swimming around near the ocean floor"
] | A | 0 | 0.5 | videos/850b48b37b090787da02f722b4d8fae66196fb2aaaca479b543ccf1c4cf315dd.mp4 | 850b48b37b090787da02f722b4d8fae66196fb2aaaca479b543ccf1c4cf315dd | 10.01 | 0.0733 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-4.0 |
VF-Eval_2058 | VF-Eval | perception | Perception | perception_low_visual_quality | Given the video, please check for quality problems such as blurry images, low resolution, or distortion. | [
"The video content lacks any noticeable distortion or abrupt changes.",
"The resolution in the video appears sharp and maintains clarity.",
"The screen and the potato keep changing constantly.",
"The video shows consistently steady and sharp images without noticeable changes."
] | C | 2 | 0.25 | videos/2094966a26ff0ee6236289d02ada9aa5be970507505b503426f3f7d5afcfdd8c.mp4 | 2094966a26ff0ee6236289d02ada9aa5be970507505b503426f3f7d5afcfdd8c | 8.08 | 0.0734 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | MIT |
S-EMBER_7933 | S-EMBER | perception | Perception | perception_comparison | How does the price of the gonks I’m looking at compare with the snowman calendar I picked up earlier? | [
"The gonks are priced at $19.99, making them more expensive than the snowman calendar at $16.99.",
"The gonks are priced at $19.99, making them more expensive than the snowman calendar at $7.99.",
"The gonks and the snowman calendar are the exact same price, both costing $16.99.",
"The gonks are priced at $7.... | E | 4 | 0.2 | videos/2c0ce3b0d54dbeb5a1fd3006643611b056ccf5607d754c8ecf8d96eaed564b25.mp4 | 2c0ce3b0d54dbeb5a1fd3006643611b056ccf5607d754c8ecf8d96eaed564b25 | 300 | 0.074 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-4.0 |
AoTBench_5830 | AoTBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"One hand pulls the dishwasher to cover a basket of white dishes.",
"A stainless steel dishwasher is opened with one hand to reveal a basket of white dishes."
] | A | 0 | 0.5 | videos/3bad461990fbf9bc9c126de0c1612995847a97ec2f097040639b859e1d9ba42c.mp4 | 3bad461990fbf9bc9c126de0c1612995847a97ec2f097040639b859e1d9ba42c | 16.349667 | 0.0746 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
TemporalBench_24784 | TemporalBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"The man walks to the chair holding a sandwich with both his hands and takes a seat. He then takes a bite out of the sandwich with his left hand. He then puts his right hand into his back pocket.",
"The man walks to the chair holding a sandwich with one hand and takes a seat. He then takes a bite out of the sandw... | A | 0 | 0.5 | videos/cfd1fbd3f54b160c01e9695ccab65713d07b7baeb6ad624b86512cfdfb2c7ce2.mp4 | cfd1fbd3f54b160c01e9695ccab65713d07b7baeb6ad624b86512cfdfb2c7ce2 | 8.6 | 0.0746 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | |
S-EMBER_9446 | S-EMBER | perception | Perception | perception_attribute | What was the main color of the background on my phone? | [
"White",
"Black",
"Yellow",
"Not visible",
"Blue"
] | C | 2 | 0.2 | videos/8f1cfdc2dd282dc51f1d2de85639201a4c279f3b067e3f13a013031f0539abf4.mp4 | 8f1cfdc2dd282dc51f1d2de85639201a4c279f3b067e3f13a013031f0539abf4 | 570.833333 | 0.0762 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-NC-4.0 |
VF-Eval_2774 | VF-Eval | perception | Perception | perception_low_visual_quality | Please examine the video for any potential quality issues, such as low resolution, blurry visuals, or distortion. | [
"The screen keeps moving back and forth and shaking.",
"The video displays perfectly stable visuals throughout without any interruptions.",
"The video contains clear subtitles, but no apparent visual distortions or movement issues exist.",
"The video appears to be stretched horizontally, but no shaking or blu... | A | 0 | 0.25 | videos/eff832e7b4c2208ffcf23c8652bd624bd4c0f5797ac35c9cc61e25a97cecf2c2.mp4 | eff832e7b4c2208ffcf23c8652bd624bd4c0f5797ac35c9cc61e25a97cecf2c2 | 8.08 | 0.0765 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | MIT |
TemporalBench_13456 | TemporalBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"Someone seem to be in a watch repair shop by a table with a white cloth on it. They are working on a watch they are using the left hand to hold the watch near the face of it as they use their right hand to guide a long pointy tool to try and pry the watch face open. After moving his right hand, a person is taking... | B | 1 | 0.5 | videos/0a2d4d49f97a7015557771f55344b98c2e2ffe2865f2a19b9d4b9a4642c7c2f0.mp4 | 0a2d4d49f97a7015557771f55344b98c2e2ffe2865f2a19b9d4b9a4642c7c2f0 | 60 | 0.0789 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | |
SLVMBench_1318 | SLVMBench | perception | Perception | perception_fine_grained_action | After soaking the whetstone, how should I prepare it for the sharpening process? | [
"Move the blade in a circular motion across the stone surface.",
"Use side-to-side sweeping motions along the entire stone.",
"Hold the blade stationary and move the stone back and forth.",
"Draw the blade diagonally across the stone in a figure-eight pattern.",
"Perform the operation from top to bottom to ... | E | 4 | 0.2 | videos/ee57ed6049d5d241b144993365ebdb94fb0004f3dbd38596f131935234842568.mp4 | ee57ed6049d5d241b144993365ebdb94fb0004f3dbd38596f131935234842568 | 117.418 | 0.0793 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | Apache-2.0 |
TOC-Bench_948 | TOC-Bench | perception | Perception | perception_hallucination | Does blue vase ever get fully hidden in the video? | [
"blue vase never gets fully hidden",
"blue vase does get fully hidden"
] | B | 1 | 0.5 | videos/68bbf943ac52923fad2787bca44406e2edf1738630425f64cac037582e38d9c1.mp4 | 68bbf943ac52923fad2787bca44406e2edf1738630425f64cac037582e38d9c1 | 34.202993 | 0.0796 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | custom |
TOC-Bench_139 | TOC-Bench | perception | Perception | perception_hallucination | Does red trash bin ever get fully hidden in the video? | [
"red trash bin does gets fully hidden",
"red trash bin never gets fully hidden"
] | A | 0 | 0.5 | videos/cb9ff92945f855df7a0a88b8345abb3f332940e076ad98a611292065809b8bb2.mp4 | cb9ff92945f855df7a0a88b8345abb3f332940e076ad98a611292065809b8bb2 | 31.068005 | 0.0799 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | custom |
VITATECS_7250 | VITATECS | perception | Perception | perception_fine_grained_action | Which caption correctly describes what happens in the video? | [
"a group of people are stamp dancing on stage in front of a crowd",
"a group of people stand on stage in front of a crowd"
] | A | 0 | 0.5 | videos/0fa813a90b353b0b91d3f37f20f458849e041008b87ca389aca23578292df969.mp4 | 0fa813a90b353b0b91d3f37f20f458849e041008b87ca389aca23578292df969 | 11.011 | 0.0799 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-4.0 |
AoTBench_5189 | AoTBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"A person carefully and skillfully disconnects the complex motherboard with a cutter.",
"The complex motherboard is connected by a man who can do it skillfully with a cutter."
] | B | 1 | 0.5 | videos/c94a9e076ead62a15a78d7c195e9e1472448b37281318afdbc7a6a90e1c9bb74.mp4 | c94a9e076ead62a15a78d7c195e9e1472448b37281318afdbc7a6a90e1c9bb74 | 23.033333 | 0.082 | {
"verdict": "not_verifiable",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
S-EMBER_9232 | S-EMBER | perception | Perception | perception_object_counting | How many different cyclists have I seen so far? | [
"You have seen 5 different cyclists so far in the video.",
"Nine different cyclists have appeared so far in the video.",
"You have seen six different cyclists up to this point.",
"You have seen four different cyclists so far in total.",
"You have seen 15 different cyclists so far in the video."
] | E | 4 | 0.2 | videos/3a878a53aef90b3472d4acb636750da37e183ff3f2cccdf35e0b33e96a9d0502.mp4 | 3a878a53aef90b3472d4acb636750da37e183ff3f2cccdf35e0b33e96a9d0502 | 326.25 | 0.0831 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-4.0 |
TOC-Bench_2200 | TOC-Bench | perception | Perception | perception_hallucination | Does white plate on the shelf ever get fully hidden in the video? | [
"white plate does get fully hidden",
"white plate never gets fully hidden"
] | A | 0 | 0.5 | videos/22c52ae029a21064c845cf77c5cefb0d445b0d660c85c48447a5c4b4fb4b0040.mp4 | 22c52ae029a21064c845cf77c5cefb0d445b0d660c85c48447a5c4b4fb4b0040 | 37.3373 | 0.0845 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | custom |
V2P-Bench_988 | V2P-Bench | perception | Perception | perception_localization | What are the planets that the man marked with a red dot research? | [
"Mars and Jupiter.",
"Venus and Neptune.",
"Mars and Neptune.",
"Jupiter and Neptune."
] | B | 1 | 0.25 | videos/a1ad8b7d5781e071abe4102786f98ccd63c04be9933dfe4a076ed2aa7f6d750b.mp4 | a1ad8b7d5781e071abe4102786f98ccd63c04be9933dfe4a076ed2aa7f6d750b | 2,766.820136 | 0.0855 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-4.0 |
StreamingBench_779 | StreamingBench | perception | Perception | ocr_text | What emojis are currently displayed around the man and the graphics card? | [
"\"like,\" \"comment,\" \"follow,\" and \"share\".",
"\"like,\" \"save,\" \"comment,\" and \"share\".",
"\"like,\" \"insert coins,\" \"favorite,\" and \"share\".",
"\"like,\" \"comment,\" \"subscribe,\" and \"share\"."
] | C | 2 | 0.25 | videos/2f3a45e8a3b97be4ae1644251121bf13c42427edcea9664dbde1b9dfab1b858b.mp4 | 2f3a45e8a3b97be4ae1644251121bf13c42427edcea9664dbde1b9dfab1b858b | 773.27093 | 0.09 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
StreamingBench_5 | StreamingBench | perception | Perception | perception_object_misidentify | Please describe the scene that just occurred in the video? | [
"A small black and yellow frog lies on a green leaf as the narrator says 'This is a poison dart frog'.",
"A tadpole swims in the water in the center of a green plant and the narrator says 'Nice and safe'.",
"A small black and yellow frog climbs on a mossy branch, and the narrator says 'Males raise their young i... | B | 1 | 0.25 | videos/9c24cb9e71713a9136d6666adc07caa1a52b56bc82e97e3cb8f17438f8de7837.mp4 | 9c24cb9e71713a9136d6666adc07caa1a52b56bc82e97e3cb8f17438f8de7837 | 175.426757 | 0.0919 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | unknown |
ALLVB_2121 | ALLVB | perception | Perception | perception_attribute | In the dark, swampy environment, a woman is seen tending to a wounded person and later crawling through the muddy terrain while holding a gun. The scene is filled with dense vegetation, water, and dim lighting. What is the color of the woman's shirt in the scene? | [
"Blue",
"Red",
"Black",
"Green",
"Purple"
] | E | 4 | 0.2 | videos/7b46602803092cb7c2bb0d8e9d836544b91a1a95480a8b029787430997726e9e.mp4 | 7b46602803092cb7c2bb0d8e9d836544b91a1a95480a8b029787430997726e9e | 5,252.080167 | 0.0937 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-NC-SA-4.0 |
K9-Bench_1383 | K9-Bench | perception | Perception | perception_fine_grained_action | Describe the cat's body posture and facial expressions when observed resting with nursing kittens, noting observable cues. | [
"Side-lying in loose curl, eyes mostly closed, lips slightly parted, ears flattened, swiveling.",
"Partially upright, front paws tucked, eyes narrowed, chin resting, ears still, occasionally tilting.",
"Stretched on belly, hind legs extended, eyes blinking, nose twitching, ears forward rotating.",
"Prone with... | E | 4 | 0.2 | videos/969f3632b71486b05ec819b5e595517c346b1c14df219697867b79f293e77c9f.mp4 | 969f3632b71486b05ec819b5e595517c346b1c14df219697867b79f293e77c9f | 513.160998 | 0.0937 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-4.0 |
S-EMBER_7790 | S-EMBER | perception | Perception | perception_comparison | How does the shade of these green pants compare to the green pants I looked at earlier? | [
"These pants are a lighter, more olive shade compared to the darker green pants you looked at earlier.",
"These pants are noticeably darker and more muted, whereas the pants you saw earlier were lighter and brighter.",
"These pants are a lighter, pastel green, while the earlier pair was a noticeably darker, dee... | D | 3 | 0.2 | videos/f4eb7be9d552eedd74a88056791638265d916e8bbdbe2eae63a157d9657b4751.mp4 | f4eb7be9d552eedd74a88056791638265d916e8bbdbe2eae63a157d9657b4751 | 300.166667 | 0.094 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-4.0 |
VideoAds_344 | VideoAds | perception | Perception | perception_attribute | What is the texture of the product like? | [
"The product has a smooth and creamy texture.",
"The product contains small particles.",
"The product has a rich and velvety texture.",
"The product has a slightly thick and luxurious texture."
] | B | 1 | 0.25 | videos/ed6acf1950a19e9099345e378ead1aa4388576c61fc22cd0ff0a1ab2eea13a8b.mp4 | ed6acf1950a19e9099345e378ead1aa4388576c61fc22cd0ff0a1ab2eea13a8b | 30.093061 | 0.094 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | custom |
AoTBench_5377 | AoTBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"Against a black background, a hand is unscrewing the cap of a black plastic bottle.",
"Against a black background, the cap on a black plastic bottle is tightened by one hand."
] | B | 1 | 0.5 | videos/82566b1f6d5765a4f8eba3a52de1c7c539099d08be85ff5bf3cebafada589b1f.mp4 | 82566b1f6d5765a4f8eba3a52de1c7c539099d08be85ff5bf3cebafada589b1f | 16.16 | 0.095 | {
"verdict": "not_verifiable",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
Video-MME-v2_1879 | Video-MME-v2 | perception | Perception | perception_object_misidentify | What small animals appeared, in sequence? | [
"Lizard, frog, dragonfly, ant.",
"In the scene, a nimble squirrel, a fluttering butterfly, and a foraging hedgehog appeared in sequence.",
"Butterfly, bee, beetle, earthworm.",
"Birds, arboreal animals, insects, small ground-dwelling reptiles.",
"Rat, gecko, fly, snail.",
"Birds, squirrels / arboreal anim... | H | 7 | 0.125 | videos/49dc76eada671fe54dd1542eff91e6bcd4fb7f544a4d47143e1d534c09026c56.mp4 | 49dc76eada671fe54dd1542eff91e6bcd4fb7f544a4d47143e1d534c09026c56 | 948.837007 | 0.0969 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | MIT |
StreamingBench_59 | StreamingBench | perception | Perception | perception_object_misidentify | Please describe the scene that just occurred in the video. | [
"A pangolin crawls next to a stream, and the narrator says, 'although their scales have officially been, banned from use in traditional medicine.'.",
"A pangolin crawls slowly and the narrator says: 'it's going to take rigorous enforcement from extinction.'.",
"Several people are picking tea leaves, the narrato... | C | 2 | 0.25 | videos/b1cb52338a38457953889e9015e8193c7c0d2b4a56bcdeb89583aeea0dacf76f.mp4 | b1cb52338a38457953889e9015e8193c7c0d2b4a56bcdeb89583aeea0dacf76f | 154.598458 | 0.0971 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | unknown |
ForeSeaQA_403 | ForeSeaQA | perception | Perception | perception_hallucination | Did you see someone carrying a bag of things in the video? | [
"Yes, a man in black clothes",
"Yes, a man in white clothes",
"Yes, a man in red clothes",
"No, I didn't see anyone"
] | C | 2 | 0.25 | videos/ceb6b0b6791344341e22701c087ab4dc88812fed54bf453f42135019b6bfc19e.mp4 | ceb6b0b6791344341e22701c087ab4dc88812fed54bf453f42135019b6bfc19e | 542.975011 | 0.0974 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | custom |
VF-Eval_1635 | VF-Eval | perception | Perception | perception_hallucination | Analyze the video for any commonsense and physical violations, including things like floating objects, characters moving through walls, or animals speaking. | [
"The style of the boat has been constantly changing.",
"The boat moves forward but leaves no ripples on the water.",
"The fishing rod disappears and reappears without explanation.",
"The fishing net seems to pass through solid objects without obstruction."
] | A | 0 | 0.25 | videos/fa2bf99380508a9ebb4b4490eabf7ba835962747db07f01977a5286823d1bc0f.mp4 | fa2bf99380508a9ebb4b4490eabf7ba835962747db07f01977a5286823d1bc0f | 8.08 | 0.0977 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | MIT |
S-EMBER_2016 | S-EMBER | perception | Perception | perception_object_misidentify | What images were on the blue and pink beads I picked up from the compartment in the bottom right corner? | [
"The blue bead had an image of an orange cat, and the pink bead had an image of a gray cat.",
"The blue bead had an image of a pink heart, and the pink bead had an image of a white cat face.",
"The blue bead had an image of a cat face, and the pink bead had an image of a dog face.",
"The blue bead had an imag... | E | 4 | 0.2 | videos/61f80a9246e1ed739d2b9226860339b7e2ac0b7b4cb802debf22ab5f05ba2a23.mp4 | 61f80a9246e1ed739d2b9226860339b7e2ac0b7b4cb802debf22ab5f05ba2a23 | 620.833333 | 0.0985 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-4.0 |
AoTBench_5125 | AoTBench | perception | Perception | perception_fine_grained_action | Which caption best describes this video? | [
"The waiters remove the bag over a pile of white plates and place it on the table.",
"The waiters put a bag over a pile of white plates and put them on the floor."
] | B | 1 | 0.5 | videos/0ca5ea401256c7e48a39f8f7819abb2cca840e17a8f730fdd802de1c1b3063ba.mp4 | 0ca5ea401256c7e48a39f8f7819abb2cca840e17a8f730fdd802de1c1b3063ba | 23.28 | 0.0986 | {
"verdict": "contradicted",
"keep_reason": "reversed_clip"
} | census_v4 | unknown |
TOC-Bench_862 | TOC-Bench | perception | Perception | perception_hallucination | Does eggs ever get fully hidden in the video? | [
"eggs never gets fully hidden",
"eggs does gets fully hidden"
] | B | 1 | 0.5 | videos/6c23b5ed384eb06d60b1189bc7a73b83afe5e537a5653c5c8df78e40abcc3aff.mp4 | 6c23b5ed384eb06d60b1189bc7a73b83afe5e537a5653c5c8df78e40abcc3aff | 26.121995 | 0.0986 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | custom |
K9-Bench_2429 | K9-Bench | perception | Perception | perception_fine_grained_action | How does the bulldog's focused chewing and subsequent movements communicate its immediate intentions regarding its prized chew toy, especially in the French bulldog's presence? | [
"Chews widely with crunching sounds, pauses, nudges toy to lap, places down, licks around it.",
"Chews with probing tongue, slurping sounds, shifts weight, slides toy to side, maintains grip.",
"Chews with lowered head, chomping sounds, glances, rolls to pin toy, sits up, continues chewing.",
"Chews with wrin... | E | 4 | 0.2 | videos/ef7f0968998d2ddfb6aae1f5da00958e8a927dae90677a1a12a19d9808dfcb2f.mp4 | ef7f0968998d2ddfb6aae1f5da00958e8a927dae90677a1a12a19d9808dfcb2f | 162.864762 | 0.0992 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-NC-4.0 |
S-EMBER_2621 | S-EMBER | perception | Perception | perception_attribute | What color are the cushions on the chairs in the kitchen? | [
"The chair cushions in the kitchen are light gray.",
"The chair cushions in the kitchen are patterned black and white.",
"The chair cushions in the kitchen are red.",
"The chair cushions in the kitchen are black.",
"The chair cushions in the kitchen are blue."
] | C | 2 | 0.2 | videos/4e275e76da0e3e79eca9470cb03e5cfdfc4a50050028bf1806bc4d789bfe31f3.mp4 | 4e275e76da0e3e79eca9470cb03e5cfdfc4a50050028bf1806bc4d789bfe31f3 | 300.083333 | 0.0993 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-NC-4.0 |
S-EMBER_346 | S-EMBER | perception | Perception | perception_object_counting | After coming to a stop, how many yellow taxis did I see before I crossed the street? | [
"You saw 6 yellow taxis before crossing.",
"You saw 3 yellow taxis before crossing.",
"You saw 5 yellow taxis before crossing.",
"You saw 2 yellow taxis before crossing.",
"You saw 8 yellow taxis before crossing."
] | E | 4 | 0.2 | videos/9236e84d67124084e51188834a5bfee561f07014f5c2015ff83cf6f67497c425.mp4 | 9236e84d67124084e51188834a5bfee561f07014f5c2015ff83cf6f67497c425 | 600 | 0.1007 | {
"verdict": "not_verifiable",
"keep_reason": "not_verifiable_long"
} | census_v4 | CC-BY-NC-4.0 |
S-EMBER_4702 | S-EMBER | perception | Perception | perception_object_counting | How many faces were on the last page of the PHX Reporter I looked at? | [
"There were two faces on the last page of the PHX Reporter you looked at.",
"There were zero faces on the last page of the PHX Reporter.",
"There were 4 faces on the last page of the PHX Reporter.",
"There were three faces on that last page of the PHX Reporter.",
"There were 15 faces on the last page of the... | E | 4 | 0.2 | videos/eb8f1eb7c439210dc93d0eccdff697851f8015eabbb8f1542226f348a361bab5.mp4 | eb8f1eb7c439210dc93d0eccdff697851f8015eabbb8f1542226f348a361bab5 | 308 | 0.1013 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | CC-BY-NC-4.0 |
TOC-Bench_2257 | TOC-Bench | perception | Perception | perception_hallucination | Does metal pot with lid ever get fully hidden in the video? | [
"metal pot with lid does get fully hidden",
"metal pot with lid never gets fully hidden"
] | A | 0 | 0.5 | videos/6632a741c488f024c42378cb0d317935f8d3b893f6d0808d234a3a94ec499b63.mp4 | 6632a741c488f024c42378cb0d317935f8d3b893f6d0808d234a3a94ec499b63 | 30.440998 | 0.1014 | {
"verdict": "supported",
"keep_reason": "supported"
} | census_v4 | custom |
End of preview. Expand in Data Studio
BenchCheck meta-benchmark (v5)
840 multiple-choice video questions from 76 public video benchmarks, one item per video, four capability groups x 210 (Perception, Temporal, Spatial / physical, Reasoning / knowledge). The set is the difficulty-first census of the BenchCheck screened pool: items that none of the cheap attackers of the pool screening (text-only, single frame, 32-frame 2B model, options-only, shuffled frames) could solve, ranked by the worst-case attacker percentile, with the marked answers verified against the frames and the reference model's share of correct answers capped.
Construction (five steps; details in the paper appendix)
- Candidates: the screened pool; the 3,000 items with the smallest worst-case attacker percentile (one per video).
- Capability labels: Claude Opus 5 assigns one of 18 fine categories from the question, options and gold answer; the categories map to the four groups.
- Verification of the marked answer: Claude Opus 5 reads the frames (32, then 512 for unconfirmed items), the question, the options and the marked answer and returns supported / contradicted / not verifiable / definition dependent. Kept: supported; reversed clips (AoTBench RTime, TempCompass direction); not verifiable on videos >= 60 s. Dropped: contradicted; definition dependent; not verifiable on videos < 60 s. Ordering questions whose options are the events themselves are excluded (not scorable as single choice). 3b. Selection with a reference cap: per group the verified items in worst-case percentile order until 210, with at most 94 (45%) that the reference model (Claude Opus 5, VIDEO protocol) answers correctly.
- Protocols: VIDEO (1 fps, <= 512 frames, short side 224) and BLIND (question + options, 4 permutations); see code/prompt.md.
Version v5: final composition.
Files
items/coverage_census.jsonl: the coverage census used as the appendix comparison (832 items, at most 8 per benchmark from 106 benchmarks, one per video where possible; same fields without the verification).items/meta_benchmark.jsonl: one line per item (fields: item_id, benchmark, capability_group, fine_category, question, options, answer, answer_idx, chance, video, video_id, duration_s, attack_pct, verification, source_version, license).items/summary.json: counts per group, benchmark and verification reason.videos/<video_id>.mp4: normalized videos (840 files; H.264, at most 1,024 stored frames per video).code/prompt.md: the exact prompts, the frame sampling rule (1 fps over the timeline, at most 512 frames uniformly thinned, short side 224; the stored videos hold at most 1,024 frames) and the scoring rule.results/leaderboard.csv: current leaderboard (Overall = VIDEO, Blind, Gain, per-group accuracy; n = items scored).
Composition
Groups: {'perception': 210, 'temporal': 210, 'spatial_physical': 210, 'reasoning_knowledge': 210}. Largest sources: {'S-EMBER': 120, 'AoTBench': 87, 'ALLVB': 45, 'UrbanVideo-Bench': 34, 'TOC-Bench': 32, 'Video-MME-v2': 31, 'Camera Movement Understanding (BU_Google)': 31, 'VideoOdyssey': 30}. Verification reasons: {'reversed_clip': 85, 'supported': 500, 'not_verifiable_long': 255}. Median duration 52 s; 299 videos >= 300 s; mean chance 29.3%.
Licences
Every item keeps the licence of its source benchmark (field license; {'unknown': 183, 'CC-BY-4.0': 62, '': 42, 'custom': 62, 'CC-BY-NC-SA-4.0': 141, 'MIT': 103, 'CC-BY-NC-4.0': 161, 'Apache-2.0': 78, 'CC-BY-SA-4.0': 7, 'CC-BY-NC-ND-4.0': 1}). Items are redistributed for
research evaluation only; check the source benchmark's terms before any other use.
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