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LEAP
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subsampled_low_res

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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
0: float
1: float
2: float
3: float
4: float
5: float
6: float
7: float
8: float
9: float
10: float
11: float
12: float
13: float
14: float
15: float
16: float
17: float
18: float
19: float
20: float
21: float
22: float
23: float
24: float
25: float
26: float
27: float
28: float
29: float
30: float
31: float
32: float
33: float
34: float
35: float
36: float
37: float
38: float
39: float
40: float
41: float
42: float
43: float
44: float
45: float
46: float
47: float
48: float
49: float
50: float
51: float
52: float
53: float
54: float
55: float
56: float
57: float
58: float
59: float
60: float
61: float
62: float
63: float
64: float
65: float
66: float
67: float
68: float
69: float
70: float
71: float
72: float
73: float
74: float
75: float
76: float
77: float
78: float
79: float
80: float
81: float
82: float
83: float
84: float
85: float
86: float
87: float
88: float
89: float
90: float
91: float
92: float
93: float
94: float
95: float
96: float
97: float
98: float
99: float
100: float
101: float
102: float
103: float
104: float
105: float
106: float
107: float
108: float
109: float
110: float
111: float
112: float
113: float
114: float
115: float
116: float
117: float
118: float
119: float
120: float
121: float
122: float
123: float
124: float
125: float
126: float
127: float
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 13722
to
{'0': Value(dtype='float32', id=None), '1': Value(dtype='float32', id=None), '2': Value(dtype='float32', id=None), '3': Value(dtype='float32', id=None), '4': Value(dtype='float32', id=None), '5': Value(dtype='float32', id=None), '6': Value(dtype='float32', id=None), '7': Value(dtype='float32', id=None), '8': Value(dtype='float32', id=None), '9': Value(dtype='float32', id=None), '10': Value(dtype='float32', id=None), '11': Value(dtype='float32', id=None), '12': Value(dtype='float32', id=None), '13': Value(dtype='float32', id=None), '14': Value(dtype='float32', id=None), '15': Value(dtype='float32', id=None), '16': Value(dtype='float32', id=None), '17': Value(dtype='float32', id=None), '18': Value(dtype='float32', id=None), '19': Value(dtype='float32', id=None), '20': Value(dtype='float32', id=None), '21': Value(dtype='float32', id=None), '22': Value(dtype='float32', id=None), '23': Value(dtype='float32', id=None), '24': Value(dtype='float32', id=None), '25': Value(dtype='float32', id=None), '26': Value(dtype='float32', id=None), '27': Value(dtype='float32', id=None), '28': Value(dtype='float32', id=None), '29': Value(dtype='float32', id=None), '30': Value(dtype='float32', id=None), '31': Value(dtype='float32', id=None), '32': Value(dtype='float32', id=None), '33': Value(dtype='float32', id=None), '34': Value(dtype='float32', id=None), '35': Value(dtype='float32', id=None), '36': Value(dtype='float32', id=None), '37': Value(dtype='float32', id=None), '38': Value(dtype='float32'
...
 Value(dtype='float32', id=None), '87': Value(dtype='float32', id=None), '88': Value(dtype='float32', id=None), '89': Value(dtype='float32', id=None), '90': Value(dtype='float32', id=None), '91': Value(dtype='float32', id=None), '92': Value(dtype='float32', id=None), '93': Value(dtype='float32', id=None), '94': Value(dtype='float32', id=None), '95': Value(dtype='float32', id=None), '96': Value(dtype='float32', id=None), '97': Value(dtype='float32', id=None), '98': Value(dtype='float32', id=None), '99': Value(dtype='float32', id=None), '100': Value(dtype='float32', id=None), '101': Value(dtype='float32', id=None), '102': Value(dtype='float32', id=None), '103': Value(dtype='float32', id=None), '104': Value(dtype='float32', id=None), '105': Value(dtype='float32', id=None), '106': Value(dtype='float32', id=None), '107': Value(dtype='float32', id=None), '108': Value(dtype='float32', id=None), '109': Value(dtype='float32', id=None), '110': Value(dtype='float32', id=None), '111': Value(dtype='float32', id=None), '112': Value(dtype='float32', id=None), '113': Value(dtype='float32', id=None), '114': Value(dtype='float32', id=None), '115': Value(dtype='float32', id=None), '116': Value(dtype='float32', id=None), '117': Value(dtype='float32', id=None), '118': Value(dtype='float32', id=None), '119': Value(dtype='float32', id=None), '120': Value(dtype='float32', id=None), '121': Value(dtype='float32', id=None), '122': Value(dtype='float32', id=None), '123': Value(dtype='float32', id=None)}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1492, in compute_config_parquet_and_info_response
                  fill_builder_info(builder, hf_endpoint=hf_endpoint, hf_token=hf_token, validate=validate)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 683, in fill_builder_info
                  ) = retry_validate_get_features_num_examples_size_and_compression_ratio(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 602, in retry_validate_get_features_num_examples_size_and_compression_ratio
                  validate(pf)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 640, in validate
                  raise TooBigRowGroupsError(
              worker.job_runners.config.parquet_and_info.TooBigRowGroupsError: Parquet file has too big row groups. First row group has 5081923639 which exceeds the limit of 300000000
              
              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 1995, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 797, in wrapped
                  for item in generator(*args, **kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 97, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 75, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              0: float
              1: float
              2: float
              3: float
              4: float
              5: float
              6: float
              7: float
              8: float
              9: float
              10: float
              11: float
              12: float
              13: float
              14: float
              15: float
              16: float
              17: float
              18: float
              19: float
              20: float
              21: float
              22: float
              23: float
              24: float
              25: float
              26: float
              27: float
              28: float
              29: float
              30: float
              31: float
              32: float
              33: float
              34: float
              35: float
              36: float
              37: float
              38: float
              39: float
              40: float
              41: float
              42: float
              43: float
              44: float
              45: float
              46: float
              47: float
              48: float
              49: float
              50: float
              51: float
              52: float
              53: float
              54: float
              55: float
              56: float
              57: float
              58: float
              59: float
              60: float
              61: float
              62: float
              63: float
              64: float
              65: float
              66: float
              67: float
              68: float
              69: float
              70: float
              71: float
              72: float
              73: float
              74: float
              75: float
              76: float
              77: float
              78: float
              79: float
              80: float
              81: float
              82: float
              83: float
              84: float
              85: float
              86: float
              87: float
              88: float
              89: float
              90: float
              91: float
              92: float
              93: float
              94: float
              95: float
              96: float
              97: float
              98: float
              99: float
              100: float
              101: float
              102: float
              103: float
              104: float
              105: float
              106: float
              107: float
              108: float
              109: float
              110: float
              111: float
              112: float
              113: float
              114: float
              115: float
              116: float
              117: float
              118: float
              119: float
              120: float
              121: float
              122: float
              123: float
              124: float
              125: float
              126: float
              127: float
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 13722
              to
              {'0': Value(dtype='float32', id=None), '1': Value(dtype='float32', id=None), '2': Value(dtype='float32', id=None), '3': Value(dtype='float32', id=None), '4': Value(dtype='float32', id=None), '5': Value(dtype='float32', id=None), '6': Value(dtype='float32', id=None), '7': Value(dtype='float32', id=None), '8': Value(dtype='float32', id=None), '9': Value(dtype='float32', id=None), '10': Value(dtype='float32', id=None), '11': Value(dtype='float32', id=None), '12': Value(dtype='float32', id=None), '13': Value(dtype='float32', id=None), '14': Value(dtype='float32', id=None), '15': Value(dtype='float32', id=None), '16': Value(dtype='float32', id=None), '17': Value(dtype='float32', id=None), '18': Value(dtype='float32', id=None), '19': Value(dtype='float32', id=None), '20': Value(dtype='float32', id=None), '21': Value(dtype='float32', id=None), '22': Value(dtype='float32', id=None), '23': Value(dtype='float32', id=None), '24': Value(dtype='float32', id=None), '25': Value(dtype='float32', id=None), '26': Value(dtype='float32', id=None), '27': Value(dtype='float32', id=None), '28': Value(dtype='float32', id=None), '29': Value(dtype='float32', id=None), '30': Value(dtype='float32', id=None), '31': Value(dtype='float32', id=None), '32': Value(dtype='float32', id=None), '33': Value(dtype='float32', id=None), '34': Value(dtype='float32', id=None), '35': Value(dtype='float32', id=None), '36': Value(dtype='float32', id=None), '37': Value(dtype='float32', id=None), '38': Value(dtype='float32'
              ...
               Value(dtype='float32', id=None), '87': Value(dtype='float32', id=None), '88': Value(dtype='float32', id=None), '89': Value(dtype='float32', id=None), '90': Value(dtype='float32', id=None), '91': Value(dtype='float32', id=None), '92': Value(dtype='float32', id=None), '93': Value(dtype='float32', id=None), '94': Value(dtype='float32', id=None), '95': Value(dtype='float32', id=None), '96': Value(dtype='float32', id=None), '97': Value(dtype='float32', id=None), '98': Value(dtype='float32', id=None), '99': Value(dtype='float32', id=None), '100': Value(dtype='float32', id=None), '101': Value(dtype='float32', id=None), '102': Value(dtype='float32', id=None), '103': Value(dtype='float32', id=None), '104': Value(dtype='float32', id=None), '105': Value(dtype='float32', id=None), '106': Value(dtype='float32', id=None), '107': Value(dtype='float32', id=None), '108': Value(dtype='float32', id=None), '109': Value(dtype='float32', id=None), '110': Value(dtype='float32', id=None), '111': Value(dtype='float32', id=None), '112': Value(dtype='float32', id=None), '113': Value(dtype='float32', id=None), '114': Value(dtype='float32', id=None), '115': Value(dtype='float32', id=None), '116': Value(dtype='float32', id=None), '117': Value(dtype='float32', id=None), '118': Value(dtype='float32', id=None), '119': Value(dtype='float32', id=None), '120': Value(dtype='float32', id=None), '121': Value(dtype='float32', id=None), '122': Value(dtype='float32', id=None), '123': Value(dtype='float32', id=None)}
              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 1505, 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 1099, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, 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 2038, 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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0
float32
1
float32
2
float32
3
float32
4
float32
5
float32
6
float32
7
float32
8
float32
9
float32
10
float32
11
float32
12
float32
13
float32
14
float32
15
float32
16
float32
17
float32
18
float32
19
float32
20
float32
21
float32
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float32
23
float32
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float32
25
float32
26
float32
27
float32
28
float32
29
float32
30
float32
31
float32
32
float32
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float32
34
float32
35
float32
36
float32
37
float32
38
float32
39
float32
40
float32
41
float32
42
float32
43
float32
44
float32
45
float32
46
float32
47
float32
48
float32
49
float32
50
float32
51
float32
52
float32
53
float32
54
float32
55
float32
56
float32
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float32
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float32
59
float32
60
float32
61
float32
62
float32
63
float32
64
float32
65
float32
66
float32
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float32
68
float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
91
float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
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float32
114
float32
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float32
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float32
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float32
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float32
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float32
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float32
121
float32
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float32
123
float32
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End of preview.
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Inputs and targets in this dataset are pre-normalized and scaled with .nc files found on the GitHub repo:

https://github.com/leap-stc/ClimSim/tree/main/preprocessing/normalizations

Read more: https://arxiv.org/abs/2306.08754.

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