Regenerated ROBOCASA HDF5
Collection
ROBOCASA 30 demos and 100 demos hdf5 format (added segmentation mask, depth, 128x128->25x256, etc.) • 4 items • Updated
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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'text'}) and 10 missing columns ({'frame', 'w', 'hist_topk', 'dominance', 'mode', 'y0', 'h', 'x0', 'y1', 'x1'}).
This happened while the json dataset builder was generating data using
hf://datasets/binhng/robocasa_30demos_5_chosen_tasks_regenerated_element_ooi_v1/ooi_anno/CoffeeSetupMug/demo1500_hand_element_ooi.json (at revision 6ea7009a20eb10337498bf2f1ec4c8c24417d5f3)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
text: int64
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 189
to
{'frame': Value('int64'), 'x0': Value('int64'), 'y0': Value('int64'), 'x1': Value('int64'), 'y1': Value('int64'), 'w': Value('int64'), 'h': Value('int64'), 'mode': Value('int64'), 'dominance': Value('float64'), 'hist_topk': List(List(Value('float64')))}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1334, 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 911, in stream_convert_to_parquet
builder._prepare_split(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'text'}) and 10 missing columns ({'frame', 'w', 'hist_topk', 'dominance', 'mode', 'y0', 'h', 'x0', 'y1', 'x1'}).
This happened while the json dataset builder was generating data using
hf://datasets/binhng/robocasa_30demos_5_chosen_tasks_regenerated_element_ooi_v1/ooi_anno/CoffeeSetupMug/demo1500_hand_element_ooi.json (at revision 6ea7009a20eb10337498bf2f1ec4c8c24417d5f3)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
frame int64 | x0 int64 | y0 int64 | x1 int64 | y1 int64 | w int64 | h int64 | mode int64 | dominance float64 | hist_topk list |
|---|---|---|---|---|---|---|---|---|---|
0 | 95 | 37 | 219 | 108 | 125 | 72 | 1,485 | 0.409222 | [
[
1485,
3683,
0.40922222222222204
],
[
1486,
1706,
0.189555555555555
],
[
1481,
1374,
0.152666666666666
]
] |
0 | 53 | 13 | 177 | 75 | 125 | 63 | 1,481 | 0.415619 | [
[
1481,
3273,
0.41561904761904706
],
[
1486,
2082,
0.264380952380952
],
[
1480,
1255,
0.15936507936507902
]
] |
0 | 89 | 88 | 175 | 131 | 87 | 44 | 1,489 | 0.333595 | [
[
1489,
1277,
0.333594566353187
],
[
1485,
945,
0.24686520376175503
],
[
1484,
935,
0.244252873563218
]
] |
0 | 71 | 119 | 162 | 162 | 92 | 44 | 1,484 | 0.45504 | [
[
1484,
1842,
0.45503952569169903
],
[
1482,
601,
0.14846837944664001
],
[
1487,
517,
0.127717391304347
]
] |
0 | 152 | 187 | 176 | 208 | 25 | 22 | 1,507 | 1 | [
[
1507,
550,
1
]
] |
0 | 41 | 221 | 204 | 247 | 164 | 27 | 62 | 1 | [
[
62,
4428,
1
]
] |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
0 | 147 | 96 | 176 | 146 | 30 | 51 | 1,489 | 0.339216 | [
[
1489,
519,
0.33921568627450904
],
[
1480,
414,
0.270588235294117
],
[
1485,
208,
0.1359477124183
]
] |
0 | 163 | 131 | 202 | 180 | 40 | 50 | 1,484 | 0.3685 | [
[
1484,
737,
0.3685
],
[
1487,
486,
0.243
],
[
1485,
381,
0.1905
]
] |
0 | 156 | 133 | 175 | 167 | 20 | 35 | 1,487 | 0.517143 | [
[
1487,
362,
0.517142857142857
],
[
1488,
118,
0.168571428571428
],
[
1480,
96,
0.137142857142857
]
] |
0 | 204 | 185 | 215 | 199 | 12 | 15 | 1,507 | 1 | [
[
1507,
180,
1
]
] |
0 | 184 | 104 | 198 | 115 | 15 | 12 | 62 | 0.95 | [
[
62,
171,
0.9500000000000001
],
[
31,
4,
0.022222222222222
],
[
33,
4,
0.022222222222222
]
] |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
0 | 83 | 102 | 118 | 143 | 36 | 42 | 1,485 | 0.44709 | [
[
1485,
676,
0.44708994708994704
],
[
1484,
523,
0.34589947089947004
],
[
1487,
147,
0.097222222222222
]
] |
0 | 118 | 77 | 133 | 116 | 16 | 40 | 1,489 | 0.540625 | [
[
1489,
346,
0.540625
],
[
1480,
228,
0.35625
],
[
1485,
33,
0.0515625
]
] |
0 | 84 | 84 | 101 | 90 | 18 | 7 | 62 | 1 | [
[
62,
126,
1
]
] |
0 | 95 | 151 | 107 | 164 | 13 | 14 | 1,507 | 1 | [
[
1507,
182,
1
]
] |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
0 | 93 | 30 | 177 | 109 | 85 | 80 | 834 | 0.362353 | [
[
834,
2464,
0.36235294117647004
],
[
838,
1391,
0.20455882352941102
],
[
830,
1115,
0.163970588235294
]
] |
0 | 60 | 223 | 200 | 252 | 141 | 30 | 62 | 1 | [
[
62,
4230,
1
]
] |
0 | 159 | 189 | 183 | 207 | 25 | 19 | 1,776 | 0.987368 | [
[
1776,
469,
0.9873684210526311
],
[
126,
6,
0.012631578947368001
]
] |
0 | 77 | 55 | 178 | 157 | 102 | 103 | 834 | 0.321435 | [
[
834,
3377,
0.32143537026461
],
[
833,
2648,
0.25204644964782
],
[
838,
1802,
0.17152103559870502
]
] |
77 | 211 | 25 | 250 | 121 | 40 | 97 | 836 | 0.503866 | [
[
836,
1955,
0.5038659793814431
],
[
833,
1024,
0.263917525773195
],
[
834,
652,
0.16804123711340202
]
] |
77 | 176 | 25 | 249 | 133 | 74 | 109 | 836 | 0.546987 | [
[
836,
4412,
0.546987354326803
],
[
833,
2659,
0.329655343416811
],
[
834,
584,
0.07240267790726501
]
] |
77 | 108 | 128 | 159 | 179 | 52 | 52 | 1,776 | 1 | [
[
1776,
2704,
1
]
] |
77 | 64 | 225 | 188 | 255 | 125 | 31 | 62 | 1 | [
[
62,
3875,
1
]
] |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
0 | 130 | 68 | 144 | 106 | 15 | 39 | 829 | 0.476923 | [
[
829,
279,
0.47692307692307606
],
[
834,
98,
0.167521367521367
],
[
838,
67,
0.11452991452991401
]
] |
0 | 150 | 97 | 168 | 120 | 19 | 24 | 833 | 0.421053 | [
[
833,
192,
0.421052631578947
],
[
834,
150,
0.32894736842105204
],
[
838,
56,
0.122807017543859
]
] |
0 | 130 | 100 | 150 | 128 | 21 | 29 | 836 | 0.45977 | [
[
836,
280,
0.45977011494252806
],
[
829,
141,
0.23152709359605902
],
[
837,
84,
0.137931034482758
]
] |
0 | 179 | 139 | 186 | 149 | 8 | 11 | 1,776 | 1 | [
[
1776,
88,
1
]
] |
0 | 153 | 72 | 164 | 83 | 12 | 12 | 62 | 0.902778 | [
[
62,
130,
0.9027777777777771
],
[
33,
9,
0.0625
],
[
31,
4,
0.027777777777777003
]
] |
18 | 133 | 65 | 165 | 104 | 33 | 40 | 834 | 0.222727 | [
[
834,
294,
0.22272727272727202
],
[
829,
232,
0.175757575757575
],
[
838,
217,
0.164393939393939
]
] |
18 | 142 | 66 | 176 | 125 | 35 | 60 | 834 | 0.341429 | [
[
834,
717,
0.341428571428571
],
[
833,
352,
0.167619047619047
],
[
838,
240,
0.114285714285714
]
] |
18 | 121 | 66 | 135 | 93 | 15 | 28 | 838 | 0.669048 | [
[
838,
281,
0.669047619047619
],
[
829,
125,
0.297619047619047
],
[
832,
13,
0.030952380952380003
]
] |
18 | 204 | 90 | 211 | 97 | 8 | 8 | 62 | 1 | [
[
62,
64,
1
]
] |
18 | 179 | 139 | 186 | 149 | 8 | 11 | 1,776 | 1 | [
[
1776,
88,
1
]
] |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
0 | 72 | 130 | 109 | 164 | 38 | 35 | 834 | 0.543609 | [
[
834,
723,
0.5436090225563911
],
[
833,
366,
0.27518796992481204
],
[
836,
111,
0.08345864661654101
]
] |
0 | 102 | 97 | 123 | 140 | 22 | 44 | 838 | 0.481405 | [
[
838,
466,
0.481404958677685
],
[
829,
282,
0.29132231404958603
],
[
834,
132,
0.13636363636363602
]
] |
0 | 89 | 181 | 100 | 193 | 12 | 13 | 1,776 | 1 | [
[
1776,
156,
1
]
] |
0 | 71 | 107 | 89 | 115 | 19 | 9 | 62 | 1 | [
[
62,
171,
1
]
] |
46 | 117 | 175 | 123 | 184 | 7 | 10 | 62 | 1 | [
[
62,
70,
1
]
] |
46 | 82 | 118 | 92 | 131 | 11 | 14 | 834 | 0.474026 | [
[
834,
73,
0.474025974025974
],
[
838,
57,
0.37012987012987003
],
[
833,
23,
0.149350649350649
]
] |
46 | 85 | 93 | 117 | 123 | 33 | 31 | 838 | 0.301075 | [
[
838,
308,
0.30107526881720403
],
[
832,
219,
0.21407624633431002
],
[
829,
208,
0.20332355816226702
]
] |
46 | 67 | 126 | 86 | 151 | 20 | 26 | 833 | 0.434615 | [
[
833,
226,
0.434615384615384
],
[
836,
92,
0.17692307692307602
],
[
834,
88,
0.16923076923076902
]
] |
141 | 65 | 168 | 69 | 173 | 5 | 6 | 1,776 | 1 | [
[
1776,
30,
1
]
] |
141 | 72 | 91 | 120 | 131 | 49 | 41 | 838 | 0.342957 | [
[
838,
689,
0.342956694873071
],
[
834,
354,
0.17620706819313
],
[
832,
318,
0.158287705326032
]
] |
141 | 73 | 177 | 75 | 180 | 3 | 4 | 62 | 1 | [
[
62,
12,
1
]
] |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
180 | 99 | 125 | 149 | 160 | 51 | 36 | 743 | 1 | [
[
743,
1836,
1
]
] |
180 | 99 | 229 | 164 | 246 | 66 | 18 | 62 | 1 | [
[
62,
1188,
1
]
] |
180 | 179 | 27 | 228 | 111 | 50 | 85 | 717 | 1 | [
[
717,
4250,
1
]
] |
180 | 16 | 64 | 41 | 78 | 26 | 15 | 717 | 1 | [
[
717,
390,
1
]
] |
180 | 87 | 5 | 124 | 23 | 38 | 19 | 720 | 0.779778 | [
[
720,
563,
0.7797783933518001
],
[
723,
116,
0.16066481994459803
],
[
717,
43,
0.059556786703601004
]
] |
180 | 128 | 69 | 159 | 83 | 32 | 15 | 717 | 0.4625 | [
[
717,
222,
0.4625
],
[
723,
180,
0.375
],
[
715,
77,
0.160416666666666
]
] |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null |
0 | 115 | 87 | 132 | 127 | 18 | 41 | 723 | 0.395664 | [
[
723,
292,
0.39566395663956605
],
[
719,
223,
0.302168021680216
],
[
720,
122,
0.165311653116531
]
] |
0 | 109 | 101 | 135 | 145 | 27 | 45 | 723 | 0.563786 | [
[
723,
685,
0.563786008230452
],
[
719,
219,
0.18024691358024603
],
[
720,
173,
0.14238683127572002
]
] |
0 | 139 | 127 | 156 | 146 | 18 | 20 | 723 | 0.638889 | [
[
723,
230,
0.6388888888888881
],
[
717,
54,
0.15
],
[
715,
53,
0.147222222222222
]
] |
0 | 144 | 170 | 154 | 181 | 11 | 12 | 743 | 1 | [
[
743,
132,
1
]
] |
0 | 141 | 97 | 151 | 108 | 11 | 12 | 62 | 0.954545 | [
[
62,
126,
0.954545454545454
],
[
31,
3,
0.022727272727272003
],
[
32,
2,
0.015151515151515001
]
] |
2 | 113 | 87 | 132 | 106 | 20 | 20 | 723 | 0.53 | [
[
723,
212,
0.53
],
[
719,
127,
0.3175
],
[
721,
51,
0.1275
]
] |
2 | 120 | 127 | 155 | 146 | 36 | 20 | 723 | 0.706944 | [
[
723,
509,
0.706944444444444
],
[
715,
108,
0.15
],
[
717,
51,
0.07083333333333301
]
] |
2 | 145 | 171 | 153 | 180 | 9 | 10 | 743 | 1 | [
[
743,
90,
1
]
] |
2 | 143 | 96 | 150 | 106 | 8 | 11 | 62 | 0.943182 | [
[
62,
83,
0.9431818181818181
],
[
31,
2,
0.022727272727272003
],
[
32,
2,
0.022727272727272003
]
] |
88 | 125 | 95 | 156 | 131 | 32 | 37 | 719 | 0.379223 | [
[
719,
449,
0.37922297297297203
],
[
723,
375,
0.31672297297297203
],
[
720,
157,
0.132601351351351
]
] |
88 | 107 | 103 | 130 | 128 | 24 | 26 | 723 | 0.504808 | [
[
723,
315,
0.5048076923076921
],
[
719,
136,
0.217948717948717
],
[
720,
113,
0.181089743589743
]
] |
88 | 132 | 102 | 166 | 147 | 35 | 46 | 723 | 0.462733 | [
[
723,
745,
0.46273291925465804
],
[
719,
384,
0.23850931677018603
],
[
722,
130,
0.080745341614906
]
] |
88 | 145 | 168 | 155 | 179 | 11 | 12 | 743 | 1 | [
[
743,
132,
1
]
] |
88 | 169 | 168 | 179 | 174 | 11 | 7 | 62 | 1 | [
[
62,
77,
1
]
] |
null | null | null | null | null | null | null | null | null | null |
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