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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowNotImplementedError
Message:      Unsupported cast from double to halffloat using function cast_half_float
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1625, in _prepare_split_single
                  writer.write(example, key)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 537, in write
                  self.write_examples_on_file()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 495, in write_examples_on_file
                  self.write_batch(batch_examples=batch_examples)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 605, in write_batch
                  arrays.append(pa.array(typed_sequence))
                File "pyarrow/array.pxi", line 247, in pyarrow.lib.array
                File "pyarrow/array.pxi", line 112, in pyarrow.lib._handle_arrow_array_protocol
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 243, in __arrow_array__
                  out = cast_array_to_feature(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2065, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2065, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2102, in cast_array_to_feature
                  return array_cast(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1949, in array_cast
                  return array.cast(pa_type)
                File "pyarrow/array.pxi", line 996, in pyarrow.lib.Array.cast
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/compute.py", line 404, in cast
                  return call_function("cast", [arr], options, memory_pool)
                File "pyarrow/_compute.pyx", line 590, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 385, in pyarrow._compute.Function.call
                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.ArrowNotImplementedError: Unsupported cast from double to halffloat using function cast_half_float
              
              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 1634, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 636, in finalize
                  self.write_examples_on_file()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 495, in write_examples_on_file
                  self.write_batch(batch_examples=batch_examples)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 605, in write_batch
                  arrays.append(pa.array(typed_sequence))
                File "pyarrow/array.pxi", line 247, in pyarrow.lib.array
                File "pyarrow/array.pxi", line 112, in pyarrow.lib._handle_arrow_array_protocol
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 243, in __arrow_array__
                  out = cast_array_to_feature(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2065, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2065, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2102, in cast_array_to_feature
                  return array_cast(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1949, in array_cast
                  return array.cast(pa_type)
                File "pyarrow/array.pxi", line 996, in pyarrow.lib.Array.cast
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/compute.py", line 404, in cast
                  return call_function("cast", [arr], options, memory_pool)
                File "pyarrow/_compute.pyx", line 590, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 385, in pyarrow._compute.Function.call
                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.ArrowNotImplementedError: Unsupported cast from double to halffloat using function cast_half_float
              
              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 1412, 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 988, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1486, 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 1643, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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__key__
string
__url__
string
__local_path__
unknown
all_bbox_centroids.npy
sequence
bbox_centroids.npy
sequence
image.npy.gz
sequence
instance_bbox.npy
sequence
instance_mask.npy.gz
sequence
name.json
sequence
name_embedding.npy.gz
sequence
1
hf://datasets/adidolkar123/vg_clip@5fbb142509799c89345cba90b3c56a35fcf98711/train/shard-000000.tar
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[ [ 45, 38 ], [ 86, 71 ], [ 51, 92 ], [ 76, 142 ], [ 94, 125 ], [ 210, 159 ], [ 157, 102 ], [ 15, 76 ], [ 128, 91 ], [ 122, 207 ] ]
[ [ 45, 38 ], [ 86, 71 ], [ 51, 92 ], [ 76, 142 ], [ 94, 125 ], [ 210, 159 ], [ 157, 102 ], [ 15, 76 ], [ 128, 91 ], [ 122, 207 ] ]
[[[115,113,127],[154,153,158],[166,166,163],[129,130,125],[176,173,175],[144,138,142],[165,160,164],(...TRUNCATED)
[[34,2,57,74],[77,57,96,86],[48,84,54,100],[65,92,87,193],[89,116,100,134],[198,126,223,192],[150,17(...TRUNCATED)
[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,(...TRUNCATED)
["black sign on front of building","tree has no leaves","building is painted white","a man in glasse(...TRUNCATED)
[[0.1136474609375,-0.149658203125,-0.311767578125,-0.172607421875,-0.12841796875,-0.28466796875,-0.2(...TRUNCATED)
10
hf://datasets/adidolkar123/vg_clip@5fbb142509799c89345cba90b3c56a35fcf98711/train/shard-000000.tar
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[ [ 54, 79 ], [ 141, 151 ], [ 21, 189 ], [ 77, 193 ], [ 142, 93 ], [ 22, 82 ], [ 211, 175 ], [ 191, 119 ], [ 79, 151 ], [ 20, 171 ] ]
[ [ 54, 79 ], [ 141, 151 ], [ 21, 189 ], [ 77, 193 ], [ 142, 93 ], [ 22, 82 ], [ 211, 175 ], [ 191, 119 ], [ 79, 151 ], [ 20, 171 ] ]
[[[164,151,116],[163,151,116],[169,157,117],[171,159,117],[174,160,120],[177,163,123],[180,164,124],(...TRUNCATED)
[[33,41,75,117],[130,135,152,168],[7,181,36,198],[55,174,99,212],[119,56,166,130],[13,68,31,97],[200(...TRUNCATED)
[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,(...TRUNCATED)
["The cork board is on the wall.","Stacks of papers on shelves","A pair of headphones","there are se(...TRUNCATED)
[[0.0266876220703125,-0.0946044921875,0.136474609375,-0.1539306640625,0.032623291015625,-0.171630859(...TRUNCATED)
100
hf://datasets/adidolkar123/vg_clip@5fbb142509799c89345cba90b3c56a35fcf98711/train/shard-000000.tar
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[ [ 36, 150 ], [ 158, 140 ], [ 123, 51 ], [ 171, 181 ], [ 149, 107 ], [ 113, 73 ], [ 96, 53 ], [ 203, 93 ] ]
[ [ 36, 150 ], [ 158, 140 ], [ 123, 51 ], [ 171, 181 ], [ 149, 107 ], [ 113, 73 ], [ 96, 53 ], [ 203, 93 ] ]
[[[13,35,22],[14,36,23],[15,37,24],[15,37,24],[14,36,23],[14,37,24],[16,38,25],[17,38,25],[17,38,25](...TRUNCATED)
[[11,136,62,164],[118,120,199,160],[114,45,133,57],[120,161,223,201],[145,104,154,110],[82,60,145,87(...TRUNCATED)
[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,(...TRUNCATED)
["Green logo on X Box","Black controller with colored buttons","l on the screen","Adapter for a gami(...TRUNCATED)
[[-0.162841796875,-0.1749267578125,-0.2880859375,-0.265625,-0.00685882568359375,-0.315673828125,-0.4(...TRUNCATED)
1000
hf://datasets/adidolkar123/vg_clip@5fbb142509799c89345cba90b3c56a35fcf98711/train/shard-000000.tar
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[ [ 67, 134 ], [ 140, 117 ], [ 26, 150 ], [ 178, 134 ], [ 106, 127 ], [ 195, 120 ], [ 111, 35 ], [ 123, 77 ], [ 115, 103 ], [ 66, 187 ] ]
[ [ 67, 134 ], [ 140, 117 ], [ 26, 150 ], [ 178, 134 ], [ 106, 127 ], [ 195, 120 ], [ 111, 35 ], [ 123, 77 ], [ 115, 103 ], [ 66, 187 ] ]
[[[156,155,153],[154,153,151],[156,155,153],[155,154,152],[155,155,151],[151,152,146],[140,141,135],(...TRUNCATED)
[[57,116,78,153],[131,82,150,153],[12,141,40,160],[171,105,185,163],[103,113,110,141],[191,106,199,1(...TRUNCATED)
[[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,(...TRUNCATED)
["red check-in booth at an airport","a white concrete pillar","luggage conveyor at an airport check (...TRUNCATED)
[[-0.0740966796875,0.1549072265625,-0.1004638671875,-0.1917724609375,-0.446533203125,-0.372802734375(...TRUNCATED)
1001
hf://datasets/adidolkar123/vg_clip@5fbb142509799c89345cba90b3c56a35fcf98711/train/shard-000000.tar
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[ [ 9, 184 ], [ 99, 91 ], [ 198, 110 ], [ 76, 164 ], [ 25, 99 ], [ 52, 210 ], [ 155, 164 ], [ 157, 29 ], [ 54, 166 ] ]
[ [ 9, 184 ], [ 99, 91 ], [ 198, 110 ], [ 76, 164 ], [ 25, 99 ], [ 52, 210 ], [ 155, 164 ], [ 157, 29 ], [ 54, 166 ] ]
[[[34,76,134],[36,78,136],[36,78,136],[36,78,136],[36,78,136],[36,78,136],[36,78,136],[36,78,136],[3(...TRUNCATED)
[[0,160,19,208],[37,64,162,119],[184,98,212,123],[66,151,87,177],[14,77,37,121],[37,197,68,223],[110(...TRUNCATED)
[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,(...TRUNCATED)
["batter's cage is grey metal","a row of palm trees","A single story building near a stadium.","shad(...TRUNCATED)
[[-0.276611328125,0.09832763671875,0.13720703125,0.0997314453125,0.72021484375,0.302978515625,0.3388(...TRUNCATED)
1002
hf://datasets/adidolkar123/vg_clip@5fbb142509799c89345cba90b3c56a35fcf98711/train/shard-000000.tar
"L2hvbWUvbWlsYS9hL2FuaWtldC5kaWRvbGthci9zY3JhdGNoL2xhbmd1YWdlX2NvbmRpdGlvbmVkX29jbGYvc2NyaXB0cy9kYXR(...TRUNCATED)
[ [ 72, 132 ], [ 212, 134 ], [ 189, 145 ], [ 167, 189 ], [ 143, 113 ], [ 183, 213 ], [ 201, 22 ], [ 93, 26 ] ]
[ [ 72, 132 ], [ 212, 134 ], [ 189, 145 ], [ 167, 189 ], [ 143, 113 ], [ 183, 213 ], [ 201, 22 ], [ 93, 26 ] ]
[[[224,196,234],[215,187,225],[223,195,233],[221,212,240],[228,204,229],[211,132,207],[230,170,219],(...TRUNCATED)
[[31,43,114,221],[206,119,219,149],[181,127,197,164],[157,183,177,195],[121,101,166,126],[171,204,19(...TRUNCATED)
[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,(...TRUNCATED)
["pinball table lined up in a row with others","the legs of the game machine are black","the legs of(...TRUNCATED)
[[-0.373046875,0.008209228515625,0.0220184326171875,0.2003173828125,-0.378173828125,0.1617431640625,(...TRUNCATED)
1003
hf://datasets/adidolkar123/vg_clip@5fbb142509799c89345cba90b3c56a35fcf98711/train/shard-000000.tar
"L2hvbWUvbWlsYS9hL2FuaWtldC5kaWRvbGthci9zY3JhdGNoL2xhbmd1YWdlX2NvbmRpdGlvbmVkX29jbGYvc2NyaXB0cy9kYXR(...TRUNCATED)
[ [ 120, 137 ], [ 98, 97 ], [ 190, 86 ], [ 92, 98 ], [ 7, 72 ], [ 41, 85 ], [ 27, 134 ], [ 140, 67 ], [ 90, 92 ], [ 99, 91 ] ]
[ [ 120, 137 ], [ 98, 97 ], [ 190, 86 ], [ 92, 98 ], [ 7, 72 ], [ 41, 85 ], [ 27, 134 ], [ 140, 67 ], [ 90, 92 ], [ 99, 91 ] ]
[[[76,77,141],[54,57,136],[51,57,143],[52,60,141],[55,61,145],[59,60,153],[57,61,150],[59,63,154],[5(...TRUNCATED)
[[102,73,138,201],[96,94,100,101],[165,43,215,130],[90,94,94,102],[5,69,10,75],[30,65,52,105],[16,10(...TRUNCATED)
[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,(...TRUNCATED)
["man in the brown shirt","letter on a sign","screen of game machine is yellow, blue and white","let(...TRUNCATED)
[[0.1485595703125,0.212158203125,-0.406005859375,0.52001953125,0.04595947265625,-0.1385498046875,0.0(...TRUNCATED)
1004
hf://datasets/adidolkar123/vg_clip@5fbb142509799c89345cba90b3c56a35fcf98711/train/shard-000000.tar
"L2hvbWUvbWlsYS9hL2FuaWtldC5kaWRvbGthci9zY3JhdGNoL2xhbmd1YWdlX2NvbmRpdGlvbmVkX29jbGYvc2NyaXB0cy9kYXR(...TRUNCATED)
[ [ 61, 116 ], [ 80, 137 ], [ 121, 165 ], [ 148, 49 ], [ 199, 118 ], [ 151, 109 ], [ 42, 204 ], [ 100, 110 ], [ 8, 83 ], [ 16, 172 ] ]
[ [ 61, 116 ], [ 80, 137 ], [ 121, 165 ], [ 148, 49 ], [ 199, 118 ], [ 151, 109 ], [ 42, 204 ], [ 100, 110 ], [ 8, 83 ], [ 16, 172 ] ]
[[[139,137,112],[132,131,106],[133,131,106],[127,125,100],[127,126,98],[124,123,93],[123,121,91],[12(...TRUNCATED)
[[56,105,66,127],[71,105,90,169],[120,161,123,170],[138,41,158,57],[192,103,207,134],[121,68,181,151(...TRUNCATED)
[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,(...TRUNCATED)
["shirt with striped sleeve","child wearing striped shirt","The white woman is walking down the busy(...TRUNCATED)
[[-0.0704345703125,0.331298828125,-0.433837890625,-0.0538330078125,-0.0333251953125,0.1439208984375,(...TRUNCATED)
1005
hf://datasets/adidolkar123/vg_clip@5fbb142509799c89345cba90b3c56a35fcf98711/train/shard-000000.tar
"L2hvbWUvbWlsYS9hL2FuaWtldC5kaWRvbGthci9zY3JhdGNoL2xhbmd1YWdlX2NvbmRpdGlvbmVkX29jbGYvc2NyaXB0cy9kYXR(...TRUNCATED)
[ [ 146, 191 ], [ 32, 38 ], [ 112, 167 ], [ 176, 16 ], [ 169, 174 ], [ 29, 153 ], [ 28, 207 ], [ 137, 77 ], [ 51, 161 ], [ 110, 201 ] ]
[ [ 146, 191 ], [ 32, 38 ], [ 112, 167 ], [ 176, 16 ], [ 169, 174 ], [ 29, 153 ], [ 28, 207 ], [ 137, 77 ], [ 51, 161 ], [ 110, 201 ] ]
[[[207,181,156],[208,182,155],[210,184,157],[212,186,159],[213,187,160],[214,189,159],[214,189,159],(...TRUNCATED)
[[137,185,155,198],[27,16,37,61],[95,157,129,177],[159,0,194,32],[165,170,173,178],[28,150,31,157],[(...TRUNCATED)
[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,(...TRUNCATED)
["small shelf next to slot machine","white stripe on the silver box","Buttons on the casino games ",(...TRUNCATED)
[[-0.3193359375,-0.09393310546875,0.0645751953125,-0.047821044921875,-0.313720703125,0.1453857421875(...TRUNCATED)
1006
hf://datasets/adidolkar123/vg_clip@5fbb142509799c89345cba90b3c56a35fcf98711/train/shard-000000.tar
"L2hvbWUvbWlsYS9hL2FuaWtldC5kaWRvbGthci9zY3JhdGNoL2xhbmd1YWdlX2NvbmRpdGlvbmVkX29jbGYvc2NyaXB0cy9kYXR(...TRUNCATED)
[ [ 190, 219 ], [ 84, 50 ], [ 77, 146 ], [ 131, 28 ], [ 23, 206 ], [ 110, 218 ], [ 57, 76 ], [ 46, 154 ], [ 157, 208 ], [ 87, 220 ] ]
[ [ 190, 219 ], [ 84, 50 ], [ 77, 146 ], [ 131, 28 ], [ 23, 206 ], [ 110, 218 ], [ 57, 76 ], [ 46, 154 ], [ 157, 208 ], [ 87, 220 ] ]
[[[51,51,51],[85,85,85],[135,135,135],[141,141,141],[152,152,152],[151,151,151],[156,156,156],[154,1(...TRUNCATED)
[[186,217,194,222],[75,42,93,58],[64,130,91,162],[119,13,144,44],[20,204,27,208],[106,217,115,220],[(...TRUNCATED)
[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,(...TRUNCATED)
["white tile on floor","light shining behind man","speaker is behind man","Glasses on a man's face."(...TRUNCATED)
[[-0.0938720703125,-0.157470703125,0.2415771484375,0.1376953125,-0.29150390625,-0.311279296875,-0.28(...TRUNCATED)
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