The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowInvalid
Message: JSON parse error: The document is empty.
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 174, in _generate_tables
df = pandas_read_json(f)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
return pd.read_json(path_or_buf, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 791, in read_json
json_reader = JsonReader(
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 905, in __init__
self.data = self._preprocess_data(data)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 917, in _preprocess_data
data = data.read()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 813, in read_with_retries
out = read(*args, **kwargs)
File "/usr/local/lib/python3.9/codecs.py", line 322, in decode
(result, consumed) = self._buffer_decode(data, self.errors, final)
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x80 in position 55: invalid start byte
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1815, in _prepare_split_single
for _, table in generator:
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 692, in wrapped
for item in generator(*args, **kwargs):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 177, in _generate_tables
raise e
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 151, in _generate_tables
pa_table = paj.read_json(
File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: The document is empty.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1451, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 994, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
video
string | segment
string | class
string | question
string | options
dict | id
string |
|---|---|---|---|---|---|
0SIK_5qpD70
|
0SIK_5qpD70_183.3_225.5.mp4
|
background_perception
|
What is the main background in the video?
|
{
"A": "restaurant",
"B": "hallway",
"C": "grassland",
"D": "wood"
}
|
1cad95c1-d13a-4ef0-b1c1-f7e753b5122f
|
0SIK_5qpD70
|
0SIK_5qpD70_183.3_225.5.mp4
|
background_perception
|
What is the main background in the video?
|
{
"A": "gas station",
"B": "snow-covered forest",
"C": "cemetery",
"D": "wooden cabin"
}
|
4bc6c552-c3d4-417a-80b2-4765b9d1b3a1
|
0Tv_3H07I_A
|
0Tv_3H07I_A_686.5_748.3.mp4
|
background_perception
|
Identify the background shown in the video.
|
{
"A": "wood",
"B": "garage",
"C": "restaurant",
"D": "snow-covered landscape"
}
|
2dda2f99-e630-41c8-a3c1-c5e1fc4b777b
|
0Tv_3H07I_A
|
0Tv_3H07I_A_686.5_748.3.mp4
|
background_perception
|
In the video, what is the most likely background?
|
{
"A": "mountain",
"B": "gas station",
"C": "sea",
"D": "road"
}
|
f3605276-d759-41fb-a5a2-1c0f2f5da101
|
0ezUzigjn9M
|
0ezUzigjn9M_569.6_594.2.mp4
|
background_perception
|
If you watched the video, which background would you most likely see?
|
{
"A": "traditional Japanese",
"B": "happiness",
"C": "park",
"D": "gas station"
}
|
d5bd4522-4971-45c8-92f9-e5500efb8edc
|
0fS-ess5_j4
|
0fS-ess5_j4_334.8_358.8.mp4
|
background_perception
|
If you watched the video, which background would you most likely see?
|
{
"A": "lakeside",
"B": "snow-covered landscape",
"C": "wood",
"D": "grassland"
}
|
15f8bb98-35bd-4c87-a9bc-8878e529dc63
|
0fS-ess5_j4
|
0fS-ess5_j4_334.8_358.8.mp4
|
background_perception
|
What background is depicted in the video?
|
{
"A": "traditional Chinese interior",
"B": "room",
"C": "park",
"D": "cemetery"
}
|
8243d98b-47cf-4123-8e37-06c304948e0a
|
0gGpl10yTC4
|
0gGpl10yTC4_647.0_651.8.mp4
|
background_perception
|
If you watched the video, which background would you most likely see?
|
{
"A": "traditional Japanese",
"B": "ship",
"C": "grassland",
"D": "room"
}
|
7f517862-f383-407d-8434-038f0dff11b5
|
1BrPvIFGgLs
|
1BrPvIFGgLs_307.7_333.7.mp4
|
background_perception
|
In the video, what is the most likely background?
|
{
"A": "room",
"B": "snow-covered forest",
"C": "club",
"D": "mountain"
}
|
ec4eb3dc-834c-437d-b789-bb8448f54144
|
1NoRo-Yn5Lg
|
1NoRo-Yn5Lg_1031.0_1068.7.mp4
|
background_perception
|
Identify the background shown in the video.
|
{
"A": "beach",
"B": "gas station",
"C": "happiness",
"D": "traditional Japanese"
}
|
46b26188-471f-412b-9505-3edf53320902
|
1NoRo-Yn5Lg
|
1NoRo-Yn5Lg_1031.0_1068.7.mp4
|
background_perception
|
What is the main background in the video?
|
{
"A": "street",
"B": "anger",
"C": "room",
"D": "hospital"
}
|
a2ae0a4d-8bc2-48ff-bd0e-2a1d755b9f1c
|
1NoRo-Yn5Lg
|
1NoRo-Yn5Lg_1031.0_1068.7.mp4
|
background_perception
|
If you watched the video, which background would you most likely see?
|
{
"A": "park",
"B": "snow-covered landscape",
"C": "sea",
"D": "restaurant"
}
|
df1434c1-b697-482a-8f79-92c8b1c45335
|
1WxdMR-DPKE
|
1WxdMR-DPKE_467.8_504.6.mp4
|
background_perception
|
Identify the background shown in the video.
|
{
"A": "house",
"B": "wooden cabin",
"C": "anger",
"D": "snow-covered landscape"
}
|
c4673b5e-f4bb-4d29-8159-739905bc86e3
|
1WxdMR-DPKE
|
1WxdMR-DPKE_467.8_504.6.mp4
|
background_perception
|
In the video, what is the most likely background?
|
{
"A": "mountain",
"B": "gas station",
"C": "bus",
"D": "traditional Japanese"
}
|
fcb73b5f-59cc-4b62-a2bd-7ece5d80ccd5
|
1WxdMR-DPKE
|
1WxdMR-DPKE_467.8_504.6.mp4
|
background_perception
|
In the video, what is the most likely background?
|
{
"A": "traditional Chinese interior",
"B": "room",
"C": "snow-covered forest",
"D": "street"
}
|
1c571182-aa42-424a-8817-168d5c3f3da1
|
1a8l3g29pDI
|
1a8l3g29pDI_410.6_433.9.mp4
|
background_perception
|
In the video, what is the most likely background?
|
{
"A": "snow-covered landscape",
"B": "road",
"C": "anger",
"D": "house"
}
|
53f97a78-2d43-4c60-a0bf-7fd97ab43101
|
1a8l3g29pDI
|
1a8l3g29pDI_410.6_433.9.mp4
|
background_perception
|
If you watched the video, which background would you most likely see?
|
{
"A": "house",
"B": "wood",
"C": "sea",
"D": "hospital"
}
|
347c04d1-52d2-492d-ba94-ebd05258a638
|
1b5_v1mo_RU
|
1b5_v1mo_RU_409.4_434.2.mp4
|
background_perception
|
Identify the background shown in the video.
|
{
"A": "street",
"B": "grassland",
"C": "wooden cabin",
"D": "mountain"
}
|
21293e29-267d-4aa0-b621-e64809c8c00e
|
1b5_v1mo_RU
|
1b5_v1mo_RU_409.4_434.2.mp4
|
background_perception
|
What is the main background in the video?
|
{
"A": "wood",
"B": "wooden cabin",
"C": "room",
"D": "sea"
}
|
cf22cc51-7d8a-4d89-984f-36427cd24489
|
1nUZ7oa0gac
|
1nUZ7oa0gac_386.1_407.7.mp4
|
background_perception
|
Identify the background shown in the video.
|
{
"A": "room",
"B": "ancient ruin",
"C": "stone walls",
"D": "anger"
}
|
454fbc53-167f-4882-8964-62682d950000
|
2HnjL8xjgDg
|
2HnjL8xjgDg_592.7_622.1.mp4
|
background_perception
|
What is the main background in the video?
|
{
"A": "room",
"B": "construction site",
"C": "bus",
"D": "ship"
}
|
69ddbcd7-cf59-4167-ad4b-41b8bc1d1d05
|
2IA3AXpAdEg
|
2IA3AXpAdEg_279.6_301.5.mp4
|
background_perception
|
What is the main background in the video?
|
{
"A": "bus",
"B": "anger",
"C": "snow-covered forest",
"D": "club"
}
|
3e7ee337-e09b-45e6-b133-958f888e639e
|
2IA3AXpAdEg
|
2IA3AXpAdEg_279.6_301.5.mp4
|
background_perception
|
What is the main background in the video?
|
{
"A": "grassland",
"B": "bus",
"C": "happiness",
"D": "ship"
}
|
7277d7f3-a161-48ee-8c8f-61fbb8917747
|
2IMX7cClIlM
|
2IMX7cClIlM_908.3_933.2.mp4
|
background_perception
|
What background is depicted in the video?
|
{
"A": "gas station",
"B": "club",
"C": "room",
"D": "traditional Japanese"
}
|
4a9f54c2-5a25-415f-9161-3274cf706430
|
2utkDaK0Ki0
|
2utkDaK0Ki0_408.6_434.6.mp4
|
background_perception
|
If you watched the video, which background would you most likely see?
|
{
"A": "wooden cabin",
"B": "traditional Japanese",
"C": "gas station",
"D": "road"
}
|
b9cd3a07-bb24-4dcd-86c7-28b5f17f895c
|
2utkDaK0Ki0
|
2utkDaK0Ki0_408.6_434.6.mp4
|
background_perception
|
In the video, what is the most likely background?
|
{
"A": "house",
"B": "park",
"C": "beach",
"D": "wood"
}
|
bbff7735-3b7c-4a5f-bf56-20e348864a8e
|
2utkDaK0Ki0
|
2utkDaK0Ki0_408.6_434.6.mp4
|
background_perception
|
What background is depicted in the video?
|
{
"A": "room",
"B": "hallway",
"C": "gas station",
"D": "beach"
}
|
0b8193d2-9e0a-4703-bc49-95c8d2613768
|
2vycPw7vwjE
|
2vycPw7vwjE_862.6_894.8.mp4
|
background_perception
|
In the video, what is the most likely background?
|
{
"A": "room",
"B": "traditional Chinese interior",
"C": "snow-covered forest",
"D": "house"
}
|
37691ff2-b701-4f85-b015-379a57f56a6f
|
3DvMcq-YfIw
|
3DvMcq-YfIw_754.2_798.3.mp4
|
background_perception
|
In the video, what is the most likely background?
|
{
"A": "room",
"B": "mountain",
"C": "road",
"D": "traditional Japanese"
}
|
ad249cfc-26c6-4f2a-a2b6-0633b80f6ecb
|
3DvMcq-YfIw
|
3DvMcq-YfIw_754.2_798.3.mp4
|
background_perception
|
What background is depicted in the video?
|
{
"A": "house",
"B": "street",
"C": "restaurant",
"D": "traditional Chinese interior"
}
|
80dbb332-887b-4910-9916-3d69b53072e2
|
3HxMFKnB3eA
|
3HxMFKnB3eA_171.3_205.6.mp4
|
background_perception
|
If you watched the video, which background would you most likely see?
|
{
"A": "bus",
"B": "ancient ruin",
"C": "hallway",
"D": "traditional Chinese interior"
}
|
e18f7751-30e4-4053-bcc5-3aa4a1faf688
|
3HxMFKnB3eA
|
3HxMFKnB3eA_171.3_205.6.mp4
|
background_perception
|
Identify the background shown in the video.
|
{
"A": "room",
"B": "garage",
"C": "restaurant",
"D": "sea"
}
|
642ad95a-242d-4603-8628-eb0b7214d376
|
3NX988kYR80
|
3NX988kYR80_584.4_625.2.mp4
|
background_perception
|
What is the main background in the video?
|
{
"A": "beach",
"B": "park",
"C": "ancient ruin",
"D": "gas station"
}
|
d13813ce-f209-4875-b881-c8b2a6255142
|
3NX988kYR80
|
3NX988kYR80_584.4_625.2.mp4
|
background_perception
|
Identify the background shown in the video.
|
{
"A": "stone walls",
"B": "wooden cabin",
"C": "park",
"D": "snow-covered landscape"
}
|
f542c88d-92a4-46df-8d30-32ed7ad804b3
|
3NX988kYR80
|
3NX988kYR80_584.4_625.2.mp4
|
background_perception
|
Identify the background shown in the video.
|
{
"A": "hospital",
"B": "room",
"C": "wooden cabin",
"D": "park"
}
|
5d9ebc68-ffe2-4384-af9c-513e2cbcd463
|
3OED5hnqohY
|
3OED5hnqohY_694.9_722.3.mp4
|
background_perception
|
In the video, what is the most likely background?
|
{
"A": "construction site",
"B": "room",
"C": "street",
"D": "wood"
}
|
39f3c9ae-0ad6-4266-9b5f-c44b9c420bd7
|
3OED5hnqohY
|
3OED5hnqohY_694.9_722.3.mp4
|
background_perception
|
What background is depicted in the video?
|
{
"A": "wooden cabin",
"B": "house",
"C": "gas station",
"D": "construction site"
}
|
4c29dd2e-099d-4963-a847-54bc6d30b116
|
3OED5hnqohY
|
3OED5hnqohY_694.9_722.3.mp4
|
background_perception
|
If you watched the video, which background would you most likely see?
|
{
"A": "wooden cabin",
"B": "hospital",
"C": "garage",
"D": "snow-covered forest"
}
|
eeb0919f-46ef-44e6-8262-6c18d0cb3534
|
3OED5hnqohY
|
3OED5hnqohY_694.9_722.3.mp4
|
background_perception
|
What background is depicted in the video?
|
{
"A": "street",
"B": "construction site",
"C": "snow-covered forest",
"D": "road"
}
|
6004d231-6cdc-40f3-a972-dc9faf2a1295
|
3OED5hnqohY
|
3OED5hnqohY_694.9_722.3.mp4
|
background_perception
|
Identify the background shown in the video.
|
{
"A": "mountain",
"B": "club",
"C": "room",
"D": "snow-covered landscape"
}
|
092381c9-6e62-46a2-a79f-7994d880ef5b
|
3XYiJ4lOvno
|
3XYiJ4lOvno_551.4_573.5.mp4
|
background_perception
|
What background is depicted in the video?
|
{
"A": "club",
"B": "hospital",
"C": "traditional Japanese",
"D": "garage"
}
|
ee6a2db6-9e61-4445-87b2-f3c4ed7a0b29
|
3XYiJ4lOvno
|
3XYiJ4lOvno_551.4_573.5.mp4
|
background_perception
|
What is the main background in the video?
|
{
"A": "park",
"B": "street",
"C": "sea",
"D": "construction site"
}
|
bf4edbde-97db-4448-b6c4-fcc79a1dbf9d
|
3XYiJ4lOvno
|
3XYiJ4lOvno_551.4_573.5.mp4
|
background_perception
|
In the video, what is the most likely background?
|
{
"A": "hallway",
"B": "wooden cabin",
"C": "ship",
"D": "stone walls"
}
|
d822a4eb-87fb-415d-b96f-024778cc44ec
|
3XYiJ4lOvno
|
3XYiJ4lOvno_551.4_573.5.mp4
|
background_perception
|
In the video, what is the most likely background?
|
{
"A": "gas station",
"B": "bus",
"C": "stone walls",
"D": "cemetery"
}
|
051d8be1-4dbe-42ac-8827-29b83d18d218
|
3_bGBtBzLh8
|
3_bGBtBzLh8_366.4_398.8.mp4
|
background_perception
|
If you watched the video, which background would you most likely see?
|
{
"A": "hospital",
"B": "ship",
"C": "wood",
"D": "beach"
}
|
d5bc31c3-304c-4547-a5ce-749282a62299
|
3_bGBtBzLh8
|
3_bGBtBzLh8_366.4_398.8.mp4
|
background_perception
|
In the video, what is the most likely background?
|
{
"A": "house",
"B": "sea",
"C": "room",
"D": "ship"
}
|
28809473-a5f7-441f-8b53-e28abcd55d56
|
3et3W58mCqE
|
3et3W58mCqE_247.6_279.7.mp4
|
background_perception
|
What is the main background in the video?
|
{
"A": "traditional Japanese",
"B": "room",
"C": "cemetery",
"D": "garage"
}
|
044e3af6-4da4-45ef-af80-0b442890ee53
|
3izdurhIYAQ
|
3izdurhIYAQ_408.4_432.0.mp4
|
background_perception
|
What is the main background in the video?
|
{
"A": "beach",
"B": "restaurant",
"C": "bus",
"D": "street"
}
|
23995585-698f-4503-8b08-12d94b736be0
|
3izdurhIYAQ
|
3izdurhIYAQ_408.4_432.0.mp4
|
background_perception
|
In the video, what is the most likely background?
|
{
"A": "anger",
"B": "wooden cabin",
"C": "mountain",
"D": "hallway"
}
|
0d036a94-9e7f-418b-9a2d-9841952bfbec
|
3uLTVntlV_Q
|
3uLTVntlV_Q_0.3_9.0.mp4
|
background_perception
|
What is the main background in the video?
|
{
"A": "mountain",
"B": "beach",
"C": "restaurant",
"D": "sea"
}
|
58555850-2335-427a-9617-1f278abe5fe3
|
3yEhgfR0_eI
|
3yEhgfR0_eI_67.7_106.2.mp4
|
background_perception
|
If you watched the video, which background would you most likely see?
|
{
"A": "gas station",
"B": "construction site",
"C": "hallway",
"D": "mountain"
}
|
27de32bf-8990-41ab-be5c-6f01e9f83007
|
3yEhgfR0_eI
|
3yEhgfR0_eI_67.7_106.2.mp4
|
background_perception
|
In the video, what is the most likely background?
|
{
"A": "street",
"B": "hallway",
"C": "house",
"D": "grassland"
}
|
d36ce96f-b698-4fd1-a38c-83133c64edde
|
3yEhgfR0_eI
|
3yEhgfR0_eI_67.7_106.2.mp4
|
background_perception
|
What background is depicted in the video?
|
{
"A": "room",
"B": "traditional Chinese interior",
"C": "ancient ruin",
"D": "sea"
}
|
08432430-c267-4b2e-96c6-0fa123caf731
|
3zpf1GTL_xE
|
3zpf1GTL_xE_316.6_339.1.mp4
|
background_perception
|
Identify the background shown in the video.
|
{
"A": "ancient ruin",
"B": "park",
"C": "club",
"D": "bus"
}
|
00956eee-c1fc-41a0-bdbf-e0b2e4977235
|
3zpf1GTL_xE
|
3zpf1GTL_xE_316.6_339.1.mp4
|
background_perception
|
In the video, what is the most likely background?
|
{
"A": "room",
"B": "stone walls",
"C": "club",
"D": "cemetery"
}
|
82dd0e51-24f0-471a-b0fe-79fd1806971e
|
3zpf1GTL_xE
|
3zpf1GTL_xE_316.6_339.1.mp4
|
background_perception
|
What background is depicted in the video?
|
{
"A": "gas station",
"B": "sea",
"C": "street",
"D": "grassland"
}
|
81c8c355-bac2-49dd-87b9-13b85ad23f1e
|
4-l9wAgvAis
|
4-l9wAgvAis_20.8_42.1.mp4
|
background_perception
|
What is the main background in the video?
|
{
"A": "happiness",
"B": "room",
"C": "mountain",
"D": "gas station"
}
|
7c01743a-cb86-45ab-9bfd-5c0fafc7af8c
|
4-l9wAgvAis
|
4-l9wAgvAis_20.8_42.1.mp4
|
background_perception
|
Identify the background shown in the video.
|
{
"A": "park",
"B": "road",
"C": "wood",
"D": "hospital"
}
|
1d67c7bb-73a5-499c-b3d3-eb881c7ecb13
|
4-l9wAgvAis
|
4-l9wAgvAis_20.8_42.1.mp4
|
background_perception
|
If you watched the video, which background would you most likely see?
|
{
"A": "wooden cabin",
"B": "hallway",
"C": "construction site",
"D": "traditional Chinese interior"
}
|
bef7ec7b-c506-4dec-a6cc-8f0d9f09ade4
|
4NlTRzKQUXs
|
4NlTRzKQUXs_246.6_276.5.mp4
|
background_perception
|
Identify the background shown in the video.
|
{
"A": "ship",
"B": "wooden cabin",
"C": "traditional Chinese interior",
"D": "house"
}
|
a159adf0-8d57-42b0-a9c4-0cb6e352111e
|
4NlTRzKQUXs
|
4NlTRzKQUXs_246.6_276.5.mp4
|
background_perception
|
If you watched the video, which background would you most likely see?
|
{
"A": "club",
"B": "hallway",
"C": "snow-covered landscape",
"D": "hall"
}
|
409f53a6-a60b-4b76-b184-17256fc16c3f
|
4OviDC5JXLc
|
4OviDC5JXLc_450.5_499.6.mp4
|
background_perception
|
Identify the background shown in the video.
|
{
"A": "snow-covered forest",
"B": "grassland",
"C": "hospital",
"D": "club"
}
|
64855e2d-bb8d-4e9e-9953-60f0accdeeba
|
4OviDC5JXLc
|
4OviDC5JXLc_450.5_499.6.mp4
|
background_perception
|
Identify the background shown in the video.
|
{
"A": "club",
"B": "park",
"C": "cemetery",
"D": "room"
}
|
a924406d-1a6d-48db-a55e-d1005bb6e273
|
4OviDC5JXLc
|
4OviDC5JXLc_450.5_499.6.mp4
|
background_perception
|
What background is depicted in the video?
|
{
"A": "restaurant",
"B": "bus",
"C": "house",
"D": "snow-covered landscape"
}
|
a8181d44-30b9-4b39-aa22-eb2451afdce7
|
4SNM4n6Z8Y8
|
4SNM4n6Z8Y8_86.5_112.3.mp4
|
background_perception
|
What is the main background in the video?
|
{
"A": "street",
"B": "road",
"C": "cemetery",
"D": "room"
}
|
296b723e-9eb6-4b77-a01d-2fe9079b6dc9
|
0SIK_5qpD70
|
0SIK_5qpD70_183.3_225.5.mp4
|
CMP_perception
|
Which prop stood out in the scene?
|
{
"A": "alcohol bottle",
"B": "gun",
"C": "umbrella",
"D": "torch"
}
|
bc9b4df4-6bff-41b2-901f-1ff7fcd1f9c9
|
1b5_v1mo_RU
|
1b5_v1mo_RU_409.4_434.2.mp4
|
CMP_perception
|
What prop existed in the segment?
|
{
"A": "vehicle",
"B": "ring",
"C": "mirror",
"D": "cigarette"
}
|
91341081-bfe7-4e13-aa3a-7b6aeeca0ee0
|
0q7nKjcm-0c
|
0q7nKjcm-0c_731.8_755.5.mp4
|
CMP_perception
|
What prop is present in the segment??
|
{
"A": "cigarette",
"B": "chainsaw",
"C": "vehicle",
"D": "mobile phone"
}
|
2855b9ce-e0ec-4c88-9e58-29c1da73c650
|
0ezUzigjn9M
|
0ezUzigjn9M_569.6_594.2.mp4
|
CMP_perception
|
which prop is part of the scene?
|
{
"A": "gasolin",
"B": "sword",
"C": "gun",
"D": "bone"
}
|
e541f7c6-21f6-4114-bbbc-ac331254173c
|
0gGx-P9mRT8
|
0gGx-P9mRT8_27.1_42.4.mp4
|
CMP_perception
|
which prop is part of the scene?
|
{
"A": "bike",
"B": "torch",
"C": "umbrella",
"D": "spade"
}
|
4f1a1de7-e9e2-4148-acf1-bacaa99d4627
|
1BrPvIFGgLs
|
1BrPvIFGgLs_307.7_333.7.mp4
|
CMP_perception
|
What prop existed in the segment?
|
{
"A": "torch",
"B": "watch",
"C": "vehicle",
"D": "gun"
}
|
62e8c3e7-9bec-4a91-8d01-93914708bcfe
|
1WgP7dt5WBM
|
1WgP7dt5WBM_628.3_652.4.mp4
|
CMP_perception
|
What prop existed in the segment?
|
{
"A": "eye glasses",
"B": "watch",
"C": "cigarette",
"D": "sword"
}
|
43768ec7-ed91-4e5b-8473-f85f51e98927
|
1WxdMR-DPKE
|
1WxdMR-DPKE_467.8_504.6.mp4
|
CMP_perception
|
which kind of props is not present in the scene?
|
{
"A": "hammer",
"B": "vehicle",
"C": "gun",
"D": "watch"
}
|
b0c22671-89bf-4f8e-bb5a-d56882bae5ef
|
1nUZ7oa0gac
|
1nUZ7oa0gac_386.1_407.7.mp4
|
CMP_perception
|
which kind of prop exists in the scene?
|
{
"A": "lamp",
"B": "watch",
"C": "gun",
"D": "eye glasses"
}
|
1592dca4-9c03-484d-991a-4c44034b73f9
|
2vycPw7vwjE
|
2vycPw7vwjE_862.6_894.8.mp4
|
CMP_perception
|
Which prop is present in the segment?
|
{
"A": "cash",
"B": "lighter",
"C": "mirror",
"D": "map"
}
|
028b9708-90ca-47a0-a32e-784c6c26cf9e
|
7Fs1pRcLx5Y
|
7Fs1pRcLx5Y_163.0_179.1.mp4
|
CMP_perception
|
Which prop is present in the segment?
|
{
"A": "sword",
"B": "cash",
"C": "lighter",
"D": "mug"
}
|
5593b9f6-c579-475b-9519-0e94e6cfe14d
|
7zH_X_5m6WU
|
7zH_X_5m6WU_162.9_199.0.mp4
|
CMP_perception
|
What kind of prop is present in the scene?
|
{
"A": "mask",
"B": "toothbrush",
"C": "hammer",
"D": "cigarette"
}
|
4c72aead-4858-4603-a2ed-c74afaf5f3ca
|
8NYDjU2qfL4
|
8NYDjU2qfL4_511.4_544.6.mp4
|
CMP_perception
|
What kind of prop did not exist in the scene?
|
{
"A": "toothbrush",
"B": "cigarette",
"C": "mobile phone",
"D": "table"
}
|
0a347cd9-90a3-4fd2-bd30-316a33e8b6f1
|
8XkbzNFSXMQ
|
8XkbzNFSXMQ_250.1_280.0.mp4
|
CMP_perception
|
What kind of prop exists in the scene??
|
{
"A": "ring",
"B": "hammer",
"C": "gun",
"D": "cigarette"
}
|
c84c0a94-9a2f-433c-bc42-e9453ce82b2e
|
9AGnLhspslM
|
9AGnLhspslM_278.4_312.4.mp4
|
CMP_perception
|
which prop is part of the scene?
|
{
"A": "watch",
"B": "clock",
"C": "wine bottle",
"D": "sword"
}
|
176dcf26-2acf-4412-8711-6490c44e4929
|
2utkDaK0Ki0
|
2utkDaK0Ki0_408.6_434.6.mp4
|
CMP_perception
|
What kinds of apparel is present in the movie?
|
{
"A": "slipper",
"B": "cowboy_hat",
"C": "jeans",
"D": "shirt"
}
|
200cc716-c1e8-4ba1-b2d4-85e1e4f2f862
|
0gGpl10yTC4
|
0gGpl10yTC4_647.0_651.8.mp4
|
CMP_perception
|
What kind of cloth is present in the segment?
|
{
"A": "suit",
"B": "skirt",
"C": "cargo pant",
"D": "caftan"
}
|
13a5a468-c15e-4597-9a3c-3d617e69fcac
|
1nUZ7oa0gac
|
1nUZ7oa0gac_386.1_407.7.mp4
|
CMP_perception
|
What kinds of clothes are present in the segment?
|
{
"A": "denim jacket",
"B": "shirt",
"C": "blouse",
"D": "All of the above"
}
|
7e665dec-9fe2-4eca-8ae3-441fa56b5611
|
2vycPw7vwjE
|
2vycPw7vwjE_862.6_894.8.mp4
|
CMP_perception
|
Which option below is not part of the outfits in the segment?
|
{
"A": "suit",
"B": "sneakers",
"C": "shirt",
"D": "leather shoes"
}
|
9e1608c7-fdf6-405a-a822-f070beb1e7b4
|
3DvMcq-YfIw
|
3DvMcq-YfIw_754.2_798.3.mp4
|
CMP_perception
|
Which option below is not part of the outfits?
|
{
"A": "shirt",
"B": "suit",
"C": "tie",
"D": "sweatpants"
}
|
6d07cbd8-d5bb-4adf-8e8a-5fa81b5e318e
|
3zpf1GTL_xE
|
3zpf1GTL_xE_316.6_339.1.mp4
|
CMP_perception
|
Identify the parts of the outfit shown in the video.
|
{
"A": "hats",
"B": "T-shirt",
"C": "shirt",
"D": "All of above"
}
|
0c73535a-fe9c-4642-9d51-f64df7c1ae4c
|
4SNM4n6Z8Y8
|
4SNM4n6Z8Y8_86.5_112.3.mp4
|
CMP_perception
|
Identify the parts of the outfit not shown in the video.
|
{
"A": "shirt",
"B": "jacket",
"C": "sports top",
"D": "rings"
}
|
d24da0bc-dcc3-4300-bbb2-3be391b8dd36
|
4XxTXjrS8-s
|
4XxTXjrS8-s_576.3_602.9.mp4
|
CMP_perception
|
Which kind of costumes exists in the segment?
|
{
"A": "sweater",
"B": "sports top",
"C": "sweatpants",
"D": "jeans"
}
|
83f9ab9e-901f-4757-ad47-cf25279170f5
|
4pmfU5bLQm0
|
4pmfU5bLQm0_190.4_209.8.mp4
|
CMP_perception
|
Which part of outfits did not exist in the segment?
|
{
"A": "T-shirt",
"B": "vest",
"C": "suit",
"D": "sunglasses"
}
|
82475011-f034-411b-8884-c09b23d1bf82
|
4zgMrFCHjV0
|
4zgMrFCHjV0_553.7_586.8.mp4
|
CMP_perception
|
Which part of outfits did not exist in the segment?
|
{
"A": "hats",
"B": "hoodie",
"C": "suit",
"D": "eyeglasses"
}
|
3a17de0c-d059-42ac-8600-0cf0e2ab51ab
|
5YCnATdh45Q
|
5YCnATdh45Q_510.9_545.6.mp4
|
CMP_perception
|
What kind of makeup is present in the segment?
|
{
"A": "dirty camouflage makeup",
"B": "pin-up makeup",
"C": "glam makeup",
"D": "dewy makeup"
}
|
73e06337-89b6-494d-a2d5-5b1226237c1e
|
6Asx_XhPH80
|
6Asx_XhPH80_134.3_161.4.mp4
|
CMP_perception
|
What kind of makeup is present in the segment?
|
{
"A": "smoky eye makeup",
"B": "grunge makeup",
"C": "pin-up makeup",
"D": "natural makeup"
}
|
d2e7aa6b-7f99-4b3e-8a40-b020824f2d5e
|
8XkbzNFSXMQ
|
8XkbzNFSXMQ_250.1_280.0.mp4
|
CMP_perception
|
What kind of makeup is present in the segment?
|
{
"A": "grunge makeup",
"B": "camouflage makeup",
"C": "glam makeup",
"D": "gothic makeup"
}
|
177ae29f-8c0e-477a-8f5d-5bb1fab651ee
|
9oy1BKR0XHE
|
9oy1BKR0XHE_627.8_643.3.mp4
|
CMP_perception
|
What kind of makeup is present in the segment?
|
{
"A": "camouflage makeup",
"B": "gothic makeup",
"C": "avant-garde makeup",
"D": "natural makeup"
}
|
983d3ff8-09dd-4c89-8131-176980017646
|
9i9io_n3W7w
|
9i9io_n3W7w_5.6_35.4.mp4
|
CMP_perception
|
Indentify makeup types not present in the movie
|
{
"A": "e-boy makeup",
"B": "camouflage makeup",
"C": "fairy makeup",
"D": "All of above"
}
|
970d293f-4bf9-434a-9e7d-19ad5ad89495
|
0Qch0d93Sr4
|
0Qch0d93Sr4_508.2_578.0.mp4
|
scene_counting
|
What is the total number of scenes in the video?
|
{
"A": "15",
"B": "17",
"C": "11",
"D": "21"
}
|
eec7353e-3784-4b5a-9ad5-75f1ab11ff0f
|
0SIK_5qpD70
|
0SIK_5qpD70_183.3_225.5.mp4
|
scene_counting
|
Identify the number of scenes shown in the video.
|
{
"A": "2",
"B": "6",
"C": "10",
"D": "4"
}
|
646e630b-f24d-4c38-8c56-460b9e8ea55f
|
0Tv_3H07I_A
|
0Tv_3H07I_A_686.5_748.3.mp4
|
scene_counting
|
What is the number of different scenes in the video?
|
{
"A": "9",
"B": "11",
"C": "5",
"D": "7"
}
|
ea2f752b-c82d-43d1-8a65-948f22d2ff6a
|
0ezUzigjn9M
|
0ezUzigjn9M_569.6_594.2.mp4
|
scene_counting
|
What is the total number of scenes in the video?
|
{
"A": "8",
"B": "6",
"C": "4",
"D": "2"
}
|
ecf5a76d-63e8-435b-a8a1-2000224fe56d
|
0fS-ess5_j4
|
0fS-ess5_j4_334.8_358.8.mp4
|
scene_counting
|
How many distinct scenes are present in the video?
|
{
"A": "8",
"B": "6",
"C": "10",
"D": "4"
}
|
b065e211-4d63-4698-98ea-67d3e6480278
|
End of preview.
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.