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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
brief: struct<MR-full-R1@0.5: double, MR-full-R1@0.7: double, MR-full-mAP: double, MR-full-mAP@0.5: double, (... 253 chars omitted)
child 0, MR-full-R1@0.5: double
child 1, MR-full-R1@0.7: double
child 2, MR-full-mAP: double
child 3, MR-full-mAP@0.5: double
child 4, MR-full-mAP@0.75: double
child 5, MR-long-mAP: double
child 6, MR-middle-mAP: double
child 7, MR-short-mAP: double
child 8, HL-min-Fair-mAP: double
child 9, HL-min-Fair-Hit1: double
child 10, HL-min-Good-mAP: double
child 11, HL-min-Good-Hit1: double
child 12, HL-min-VeryGood-mAP: double
child 13, HL-min-VeryGood-Hit1: double
HL-min-Fair: struct<HL-mAP: double, HL-Hit1: double>
child 0, HL-mAP: double
child 1, HL-Hit1: double
HL-min-Good: struct<HL-mAP: double, HL-Hit1: double>
child 0, HL-mAP: double
child 1, HL-Hit1: double
HL-min-VeryGood: struct<HL-mAP: double, HL-Hit1: double>
child 0, HL-mAP: double
child 1, HL-Hit1: double
full: struct<MR-mAP: struct<0.5: double, 0.55: double, 0.6: double, 0.65: double, 0.7: double, 0.75: doubl (... 224 chars omitted)
child 0, MR-mAP: struct<0.5: double, 0.55: double, 0.6: double, 0.65: double, 0.7: double, 0.75: double, 0.8: double, (... 58 chars omitted)
child 0, 0.5: double
child 1, 0.55: double
child 2, 0.6: double
child 3, 0.65: double
child 4, 0.7: double
child 5, 0.75: double
child 6, 0.8: double
child 7, 0.85: double
child 8, 0.9: double
child 9, 0.95: double
...
itted)
child 0, 0.5: double
child 1, 0.55: double
child 2, 0.6: double
child 3, 0.65: double
child 4, 0.7: double
child 5, 0.75: double
child 6, 0.8: double
child 7, 0.85: double
child 8, 0.9: double
child 9, 0.95: double
short: struct<MR-mAP: struct<0.5: double, 0.55: double, 0.6: double, 0.65: double, 0.7: double, 0.75: doubl (... 224 chars omitted)
child 0, MR-mAP: struct<0.5: double, 0.55: double, 0.6: double, 0.65: double, 0.7: double, 0.75: double, 0.8: double, (... 58 chars omitted)
child 0, 0.5: double
child 1, 0.55: double
child 2, 0.6: double
child 3, 0.65: double
child 4, 0.7: double
child 5, 0.75: double
child 6, 0.8: double
child 7, 0.85: double
child 8, 0.9: double
child 9, 0.95: double
child 10, average: double
child 1, MR-R1: struct<0.5: double, 0.55: double, 0.6: double, 0.65: double, 0.7: double, 0.75: double, 0.8: double, (... 41 chars omitted)
child 0, 0.5: double
child 1, 0.55: double
child 2, 0.6: double
child 3, 0.65: double
child 4, 0.7: double
child 5, 0.75: double
child 6, 0.8: double
child 7, 0.85: double
child 8, 0.9: double
child 9, 0.95: double
pred_saliency_scores: list<item: double>
child 0, item: double
vid: string
qid: int64
query: string
pred_relevant_windows: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
to
{'qid': Value('int64'), 'query': Value('string'), 'vid': Value('string'), 'pred_relevant_windows': List(List(Value('float64'))), 'pred_saliency_scores': List(Value('float64'))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 609, in wrapped
for item in generator(*args, **kwargs):
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
brief: struct<MR-full-R1@0.5: double, MR-full-R1@0.7: double, MR-full-mAP: double, MR-full-mAP@0.5: double, (... 253 chars omitted)
child 0, MR-full-R1@0.5: double
child 1, MR-full-R1@0.7: double
child 2, MR-full-mAP: double
child 3, MR-full-mAP@0.5: double
child 4, MR-full-mAP@0.75: double
child 5, MR-long-mAP: double
child 6, MR-middle-mAP: double
child 7, MR-short-mAP: double
child 8, HL-min-Fair-mAP: double
child 9, HL-min-Fair-Hit1: double
child 10, HL-min-Good-mAP: double
child 11, HL-min-Good-Hit1: double
child 12, HL-min-VeryGood-mAP: double
child 13, HL-min-VeryGood-Hit1: double
HL-min-Fair: struct<HL-mAP: double, HL-Hit1: double>
child 0, HL-mAP: double
child 1, HL-Hit1: double
HL-min-Good: struct<HL-mAP: double, HL-Hit1: double>
child 0, HL-mAP: double
child 1, HL-Hit1: double
HL-min-VeryGood: struct<HL-mAP: double, HL-Hit1: double>
child 0, HL-mAP: double
child 1, HL-Hit1: double
full: struct<MR-mAP: struct<0.5: double, 0.55: double, 0.6: double, 0.65: double, 0.7: double, 0.75: doubl (... 224 chars omitted)
child 0, MR-mAP: struct<0.5: double, 0.55: double, 0.6: double, 0.65: double, 0.7: double, 0.75: double, 0.8: double, (... 58 chars omitted)
child 0, 0.5: double
child 1, 0.55: double
child 2, 0.6: double
child 3, 0.65: double
child 4, 0.7: double
child 5, 0.75: double
child 6, 0.8: double
child 7, 0.85: double
child 8, 0.9: double
child 9, 0.95: double
...
itted)
child 0, 0.5: double
child 1, 0.55: double
child 2, 0.6: double
child 3, 0.65: double
child 4, 0.7: double
child 5, 0.75: double
child 6, 0.8: double
child 7, 0.85: double
child 8, 0.9: double
child 9, 0.95: double
short: struct<MR-mAP: struct<0.5: double, 0.55: double, 0.6: double, 0.65: double, 0.7: double, 0.75: doubl (... 224 chars omitted)
child 0, MR-mAP: struct<0.5: double, 0.55: double, 0.6: double, 0.65: double, 0.7: double, 0.75: double, 0.8: double, (... 58 chars omitted)
child 0, 0.5: double
child 1, 0.55: double
child 2, 0.6: double
child 3, 0.65: double
child 4, 0.7: double
child 5, 0.75: double
child 6, 0.8: double
child 7, 0.85: double
child 8, 0.9: double
child 9, 0.95: double
child 10, average: double
child 1, MR-R1: struct<0.5: double, 0.55: double, 0.6: double, 0.65: double, 0.7: double, 0.75: double, 0.8: double, (... 41 chars omitted)
child 0, 0.5: double
child 1, 0.55: double
child 2, 0.6: double
child 3, 0.65: double
child 4, 0.7: double
child 5, 0.75: double
child 6, 0.8: double
child 7, 0.85: double
child 8, 0.9: double
child 9, 0.95: double
pred_saliency_scores: list<item: double>
child 0, item: double
vid: string
qid: int64
query: string
pred_relevant_windows: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
to
{'qid': Value('int64'), 'query': Value('string'), 'vid': Value('string'), 'pred_relevant_windows': List(List(Value('float64'))), 'pred_saliency_scores': List(Value('float64'))}
because column names don't match
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 1342, 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 907, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, 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.
qid int64 | query string | vid string | pred_relevant_windows list | pred_saliency_scores list |
|---|---|---|---|---|
2,579 | A girl and her mother cooked while talking with each other on facetime. | NUsG9BgSes0_210.0_360.0 | [
[
0,
70,
0.9986
],
[
78,
146,
0.4138
],
[
0,
146,
0.0444
],
[
108,
150,
0.0364
],
[
0,
48,
0.0081
],
[
56,
116,
0.0071
],
[
38,
82,
0.0006
],
[
62,
88,
0.0006
],
[
132,
146,
0.... | [
-0.2452392578125,
-0.3779296875,
-0.474609375,
-0.474365234375,
-0.52880859375,
-0.267578125,
-0.27197265625,
-0.19580078125,
-0.2034912109375,
-0.058135986328125,
-0.2442626953125,
-0.2142333984375,
-0.02569580078125,
-0.09539794921875,
0.0751953125,
0.073486328125,
-0.0091857910156... |
5,071 | A woman sitting in front of a desk wearing headphones and using her laptop | NUsG9BgSes0_60.0_210.0 | [
[
0,
90,
0.9992
],
[
104,
150,
0.9841
],
[
92,
102,
0.0011
],
[
8,
150,
0.0008
],
[
84,
114,
0.0002
],
[
46,
84,
0.0002
],
[
132,
150,
0.0002
],
[
110,
146,
0.0001
],
[
2,
62,
... | [
-0.199462890625,
0.362060546875,
0.318359375,
0.2470703125,
0.424072265625,
0.3115234375,
0.207763671875,
0.220458984375,
-0.01122283935546875,
0.2000732421875,
0.339111328125,
0.320556640625,
0.1734619140625,
0.2349853515625,
0.130615234375,
0.279296875,
0.09344482421875,
0.167602... |
5,342 | An Asian woman wearing a Boston t-shirt is in her home talking. | NUsG9BgSes0_360.0_510.0 | [
[
102,
150,
0.9969
],
[
48,
76,
0.5063
],
[
102,
150,
0.4956
],
[
80,
88,
0.0197
],
[
32,
80,
0.0066
],
[
98,
118,
0.0004
],
[
20,
36,
0.0002
],
[
86,
96,
0.0001
],
[
130,
150,
... | [
-0.90869140625,
-1.0595703125,
-1.0224609375,
-0.9287109375,
-1.0244140625,
-1.0078125,
-1.0009765625,
-0.95849609375,
-0.99560546875,
-0.94873046875,
-0.775390625,
-0.6474609375,
-0.43408203125,
-0.55126953125,
-0.50537109375,
-0.38427734375,
-0.435302734375,
-0.2166748046875,
-... |
8,636 | Woman holds up a green bottle. | NUsG9BgSes0_660.0_810.0 | [
[
50,
60,
0.8536
],
[
34,
48,
0.7324
],
[
38,
122,
0.4749
],
[
74,
84,
0.386
],
[
118,
126,
0.357
],
[
98,
108,
0.1682
],
[
10,
32,
0.0219
],
[
108,
118,
0.0198
],
[
30,
44,
0.... | [
-0.6669921875,
-0.623046875,
-0.60693359375,
-0.287841796875,
-0.308837890625,
-0.55517578125,
-0.3720703125,
-0.449951171875,
-0.472412109375,
-0.36767578125,
-0.4306640625,
-0.301513671875,
-0.1383056640625,
-0.197021484375,
-0.2208251953125,
-0.1650390625,
-0.1690673828125,
0.02... |
8,749 | Woman opens a cup of noodles and puts in water. | NUsG9BgSes0_510.0_660.0 | [
[
88,
100,
0.865
],
[
108,
120,
0.848
],
[
76,
86,
0.2445
],
[
120,
128,
0.0205
],
[
122,
132,
0.0025
],
[
116,
122,
0.0004
],
[
118,
126,
0.0003
],
[
140,
146,
0.0001
],
[
38,
46,... | [
-1.173828125,
-1.1953125,
-1.18359375,
-1.1787109375,
-1.1875,
-1.1748046875,
-1.185546875,
-1.185546875,
-1.1865234375,
-1.142578125,
-1.1455078125,
-1.158203125,
-1.16015625,
-1.15625,
-1.1376953125,
-1.1123046875,
-1.134765625,
-1.1201171875,
-1.1123046875,
-1.1015625,
-1.... |
2,638 | Woman in plaid shirt sits still by a red couch. | bP5KfdFJzC4_60.0_210.0 | [
[
0,
150,
1
],
[
94,
112,
0.0001
],
[
140,
148,
0
],
[
30,
58,
0
],
[
2,
44,
0
],
[
94,
150,
0
],
[
74,
134,
0
],
[
8,
86,
0
],
[
84,
110,
0
],
[
122,
144,
0
... | [
0.49267578125,
0.46533203125,
0.5068359375,
0.541015625,
0.560546875,
0.5615234375,
0.6025390625,
0.5947265625,
0.560546875,
0.548828125,
0.55078125,
0.60205078125,
0.63330078125,
0.5791015625,
0.6298828125,
0.66552734375,
0.63330078125,
0.62451171875,
0.65869140625,
0.65185546... |
5,979 | A video showing how to prepare a dish with beans | bP5KfdFJzC4_210.0_360.0 | [
[
36,
148,
1
],
[
122,
126,
0.0002
],
[
40,
56,
0.0002
],
[
20,
30,
0.0002
],
[
142,
148,
0.0002
],
[
70,
148,
0.0001
],
[
132,
148,
0.0001
],
[
46,
50,
0.0001
],
[
56,
78,
0
... | [
-1.041015625,
-0.98486328125,
-0.98291015625,
-0.986328125,
-0.990234375,
-0.9521484375,
-0.91259765625,
-0.89599609375,
-0.90087890625,
-0.85400390625,
-0.86572265625,
-0.8525390625,
-0.748046875,
-0.73779296875,
-0.72509765625,
-0.6328125,
-0.64111328125,
-0.537109375,
-0.53369... |
6,223 | A woman in plaid black and white is showing images to her kid on her laptop | bP5KfdFJzC4_360.0_510.0 | [
[
0,
150,
0.9855
],
[
90,
150,
0.9225
],
[
20,
50,
0.2945
],
[
144,
150,
0.0831
],
[
0,
20,
0.0273
],
[
58,
68,
0.0157
],
[
0,
4,
0.0131
],
[
138,
146,
0.0131
],
[
78,
104,
0.0... | [
-0.28466796875,
-0.2032470703125,
-0.146728515625,
-0.00897979736328125,
-0.115966796875,
-0.09185791015625,
-0.041717529296875,
-0.1826171875,
-0.159912109375,
-0.07080078125,
-0.134521484375,
-0.08380126953125,
0.01319122314453125,
-0.1925048828125,
-0.1134033203125,
-0.0447387695312... |
8,737 | A family is playing basketball together on a green court outside. | bP5KfdFJzC4_660.0_810.0 | [
[
0,
28,
0.9999
],
[
8,
42,
0.0039
],
[
110,
114,
0.0002
],
[
104,
112,
0.0002
],
[
4,
16,
0.0002
],
[
90,
102,
0.0001
],
[
84,
90,
0.0001
],
[
90,
96,
0.0001
],
[
82,
88,
0
... | [
0.055206298828125,
0.2183837890625,
0.75537109375,
0.8017578125,
0.830078125,
0.826171875,
0.89306640625,
0.75048828125,
0.60205078125,
0.642578125,
0.7587890625,
0.6484375,
0.5048828125,
0.2427978515625,
-0.17333984375,
0.0310211181640625,
0.20068359375,
0.2039794921875,
0.23498... |
8,783 | A kid in blue hoodie is sitting with a paper in front of him and then he starts to writing on the paper | bP5KfdFJzC4_510.0_660.0 | [
[
86,
144,
0.9997
],
[
0,
32,
0.0212
],
[
0,
64,
0.0044
],
[
2,
150,
0.002
],
[
138,
146,
0.0001
],
[
2,
10,
0
],
[
54,
80,
0
],
[
104,
110,
0
],
[
76,
114,
0
],
[
122,... | [
-0.01995849609375,
-0.053955078125,
0.01432037353515625,
0.076171875,
0.018585205078125,
0.08245849609375,
0.005916595458984375,
0.10650634765625,
0.027923583984375,
0.328369140625,
0.349853515625,
0.262451171875,
0.1641845703125,
0.142578125,
0.0816650390625,
0.1190185546875,
-0.007... |
781 | Man talks to the camera while fiddling with his mask. | nY42UppPhhg_60.0_210.0 | [
[
2,
20,
0.9269
],
[
40,
52,
0.7595
],
[
134,
150,
0.1306
],
[
106,
120,
0.0024
],
[
140,
148,
0.002
],
[
130,
134,
0.001
],
[
84,
94,
0.0005
],
[
62,
72,
0.0005
],
[
112,
122,
... | [
-0.56787109375,
-0.611328125,
-0.307861328125,
0.0167083740234375,
0.1219482421875,
0.251708984375,
0.34228515625,
0.30615234375,
0.203125,
-0.426025390625,
-0.46337890625,
-0.39599609375,
-0.50537109375,
-0.3466796875,
-0.51953125,
-0.45166015625,
-0.63916015625,
-0.50537109375,
... |
3,359 | Man wears a bandana around his face while out and about. | nY42UppPhhg_210.0_360.0 | [
[
76,
90,
0.9769
],
[
64,
76,
0.9111
],
[
20,
30,
0.1124
],
[
42,
50,
0.1018
],
[
90,
98,
0.0035
],
[
94,
110,
0.0021
],
[
112,
120,
0.0005
],
[
138,
144,
0.0004
],
[
36,
44,
0... | [
-0.572265625,
-0.57666015625,
-0.693359375,
-0.740234375,
-0.75634765625,
-0.685546875,
-0.677734375,
-0.6435546875,
-0.62353515625,
-0.62158203125,
-0.60400390625,
-0.5791015625,
-0.44970703125,
-0.1092529296875,
-0.058990478515625,
-0.326416015625,
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8,056 | Chef makes pizza and cuts it up. | RoripwjYFp8_60.0_210.0 | [
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1,872 | Some friends have a birthday meal together around a large table at a restaurant. | zVwsEVwS8Kw_210.0_360.0 | [
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3,389 | Videographer gives a front eye view of the hotel room. | zVwsEVwS8Kw_60.0_210.0 | [
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8,014 | There is a large breakfast spread on the table. | zVwsEVwS8Kw_360.0_510.0 | [
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3,525 | A girl doing a selfie video in her night dress | YIUaJzjNPuo_210.0_360.0 | [
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3,403 | Couples having fun and sharing some cool scenes | GAUdBAL0K5A_210.0_360.0 | [
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4,508 | Three women having some green health shots | GAUdBAL0K5A_60.0_210.0 | [
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5,612 | Man and woman are dancing together. | GAUdBAL0K5A_360.0_510.0 | [
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9,280 | Weather broadcaster updates about tropical forecast | jv7033VUyHE_60.0_210.0 | [
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721 | Man walks away from white van. | yId2wIocTys_60.0_210.0 | [
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2,276 | A guy having a leisure time in a swing with a kid at outdoors | yId2wIocTys_360.0_510.0 | [
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1,751 | A man rolling and dicing a roti | A_MFAuOwK5k_210.0_360.0 | [
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6,083 | Chefs cook the onions alone in a pot. | A_MFAuOwK5k_60.0_210.0 | [
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7,484 | A man cuts watermeoln into small peices on a glass tray. | A_MFAuOwK5k_510.0_660.0 | [
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3,001 | Different sculpture and murals on display in a museum. | cJ8kzdeoevg_210.0_360.0 | [
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5,584 | Two people look at an art installation of a boy riding a motorcycle. | cJ8kzdeoevg_360.0_510.0 | [
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6,746 | A tourist couple get the mango smoothie ball at the Bricklin Cafe in Penang, Malaysia | cJ8kzdeoevg_60.0_210.0 | [
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9,796 | A team of doctors is pulling a patient who is laying on a gurney. | J_6fDCo1REI_60.0_210.0 | [
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2,585 | A dog circling in a lawn | Jz1Cszaqck0_360.0_510.0 | [
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4,854 | Girl in pink top is lying down on the couch. | Jz1Cszaqck0_210.0_360.0 | [
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7,218 | A man is showing his brown jeep with a white logo on it. | Jz1Cszaqck0_660.0_810.0 | [
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8,721 | A little girl with pink dress is playing with a log as a slide | Jz1Cszaqck0_510.0_660.0 | [
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4,275 | A car ride down a suburban street from a dash cameras point of view. | FL0Cos34RjU_360.0_510.0 | [
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7,735 | A man wearing a mask is outside of a business. | FL0Cos34RjU_210.0_360.0 | [
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4,875 | Man in black holds a bouquet next to a purple wall. | IdpHJK90VDw_360.0_510.0 | [
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2,433 | Man in blue top vlogs in a parked car. | uoVRb7a58GU_60.0_210.0 | [
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3,584 | Man leans his head out a truck window. | uoVRb7a58GU_210.0_360.0 | [
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4,023 | People butcher meat from a carcass. | uoVRb7a58GU_360.0_510.0 | [
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1,961 | man enjoying waterfall diving in Philippines | wUgPzvcKK5c_210.0_360.0 | [
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4,419 | Man in black top sits on a twin bed. | wUgPzvcKK5c_360.0_510.0 | [
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5,915 | A man films himself while standing in front of a beach. | wUgPzvcKK5c_60.0_210.0 | [
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1,276 | Different women dance in their home videos. | 8yHwJ3f7Fi4_360.0_510.0 | [
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635 | Man and woman are wearing black jackets outside. | xtaVwcSitCo_210.0_360.0 | [
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942 | The Colosseum shown from many angles. | T60_zAvnAsU_360.0_510.0 | [
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8,052 | Overhead view of the buildings of Zagreb. | T60_zAvnAsU_60.0_210.0 | [
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298 | Man reads a piece of paper to his kid. | KQyJtq52Jcw_60.0_210.0 | [
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2,851 | Little american girl playing with her toys | KQyJtq52Jcw_210.0_360.0 | [
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0.0... | [
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5,256 | Man stands on playground balance bridge. | KQyJtq52Jcw_360.0_510.0 | [
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7,527 | Girl messes with her hands on the couch. | KQyJtq52Jcw_660.0_810.0 | [
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8,671 | Multiple kids with white tops are playing in back garden. | KQyJtq52Jcw_510.0_660.0 | [
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4,707 | Vlogger goes on a tour of the pier. | _ufoIeYZYjw_210.0_360.0 | [
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