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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 7 new columns ({'longest_seq_token_count', 'sub_call_count', 'sub_call_beam_size', 'avg_seq_token_count', 'trace_dict', 'avg_sub_seq_token_count', 'promising_threshold'})
This happened while the json dataset builder was generating data using
hf://datasets/LM-Parallel/all-v3n5/val_hsp.json (at revision 917cff84bd54f5f216b539692e425182e284faef)
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
nums: list<item: int64>
child 0, item: int64
target: int64
solution: list<item: string>
child 0, item: string
optimal_path: string
start_size: int64
search_path: string
rating: double
search_type: string
heuristic: string
promising_threshold: double
beam_size: int64
sub_call_beam_size: int64
trace_dict: struct<main_calls: list<item: string>, sub_calls: list<item: list<item: struct<main_calls: list<item: string>, sub_calls: list<item: null>>>>>
child 0, main_calls: list<item: string>
child 0, item: string
child 1, sub_calls: list<item: list<item: struct<main_calls: list<item: string>, sub_calls: list<item: null>>>>
child 0, item: list<item: struct<main_calls: list<item: string>, sub_calls: list<item: null>>>
child 0, item: struct<main_calls: list<item: string>, sub_calls: list<item: null>>
child 0, main_calls: list<item: string>
child 0, item: string
child 1, sub_calls: list<item: null>
child 0, item: null
token_count: int64
longest_seq_token_count: int64
avg_seq_token_count: double
avg_sub_seq_token_count: double
sub_call_count: double
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 2447
to
{'nums': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'target': Value(dtype='int64', id=None), 'solution': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'optimal_path': Value(dtype='string', id=None), 'start_size': Value(dtype='int64', id=None), 'search_path': Value(dtype='string', id=None), 'rating': Value(dtype='float64', id=None), 'search_type': Value(dtype='string', id=None), 'heuristic': Value(dtype='string', id=None), 'beam_size': Value(dtype='int64', id=None), 'token_count': Value(dtype='int64', id=None)}
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 1436, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1053, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, 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 1873, 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 7 new columns ({'longest_seq_token_count', 'sub_call_count', 'sub_call_beam_size', 'avg_seq_token_count', 'trace_dict', 'avg_sub_seq_token_count', 'promising_threshold'})
This happened while the json dataset builder was generating data using
hf://datasets/LM-Parallel/all-v3n5/val_hsp.json (at revision 917cff84bd54f5f216b539692e425182e284faef)
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.
nums sequence | target int64 | solution sequence | optimal_path string | start_size int64 | search_path string | rating float64 | search_type string | heuristic string | beam_size int64 | token_count int64 |
|---|---|---|---|---|---|---|---|---|---|---|
[
28,
62,
45,
43,
34
] | 79 | [
"28+62=90",
"45-43=2",
"90/2=45",
"34+45=79"
] | Current State: 79:[28, 62, 45, 43, 34], Operations: []
Exploring Operation: 28+62=90, Resulting Numbers: [45, 43, 34, 90]
Generated Node #2: [45, 43, 34, 90] from Operation: 28+62=90
Current State: 79:[45, 43, 34, 90], Operations: ['28+62=90']
Exploring Operation: 45-43=2, Resulting Numbers: [34, 90, 2]
Generated Node ... | 5 | Current State: 79:[28, 62, 45, 43, 34], Operations: []
Exploring Operation: 28+45=73, Resulting Numbers: [62, 43, 34, 73]
Generated Node #0,0: 79:[62, 43, 34, 73] Operation: 28+45=73
Start Sub Search at level 1: Moving to Node #0,0
Current State: 79:[62, 43, 34, 73], Operations: ['28+45=73']
Exploring Operation: 43+34=... | 0 | hs_1 | mult_heuristic | 1 | 532 |
[
90,
52,
66,
48,
2
] | 57 | [
"52-48=4",
"66*2=132",
"132/4=33",
"90-33=57"
] | Current State: 57:[90, 52, 66, 48, 2], Operations: []
Exploring Operation: 52-48=4, Resulting Numbers: [90, 66, 2, 4]
Generated Node #2: [90, 66, 2, 4] from Operation: 52-48=4
Current State: 57:[90, 66, 2, 4], Operations: ['52-48=4']
Exploring Operation: 66*2=132, Resulting Numbers: [90, 4, 132]
Generated Node #3: [90,... | 5 | Current State: 57:[90, 52, 66, 48, 2], Operations: []
Exploring Operation: 90-48=42, Resulting Numbers: [52, 66, 2, 42]
Generated Node #0,0: 57:[52, 66, 2, 42] Operation: 90-48=42
Exploring Operation: 90/2=45, Resulting Numbers: [52, 66, 48, 45]
Generated Node #0,1: 57:[52, 66, 48, 45] Operation: 90/2=45
Exploring Oper... | 0 | hs_4 | mult_heuristic | 4 | 18,922 |
[
5,
3,
17,
73,
4
] | 93 | [
"5+4=9",
"9/3=3",
"17+73=90",
"3+90=93"
] | Current State: 93:[5, 3, 17, 73, 4], Operations: []
Exploring Operation: 5+4=9, Resulting Numbers: [3, 17, 73, 9]
Generated Node #2: [3, 17, 73, 9] from Operation: 5+4=9
Current State: 93:[3, 17, 73, 9], Operations: ['5+4=9']
Exploring Operation: 9/3=3, Resulting Numbers: [17, 73, 3]
Generated Node #3: [17, 73, 3] from... | 5 | Current State: 93:[5, 3, 17, 73, 4], Operations: []
Exploring Operation: 17+73=90, Resulting Numbers: [5, 3, 4, 90]
Generated Node #0,0: 93:[5, 3, 4, 90] Operation: 17+73=90
Start Sub Search at level 1: Moving to Node #0,0
Current State: 93:[5, 3, 4, 90], Operations: ['17+73=90']
Exploring Operation: 5+90=95, Resulting... | 0 | hs_1 | mult_heuristic | 1 | 440 |
[
2,
36,
57,
68,
67
] | 57 | [
"2*57=114",
"36+68=104",
"114-67=47",
"104-47=57"
] | Current State: 57:[2, 36, 57, 68, 67], Operations: []
Exploring Operation: 2*57=114, Resulting Numbers: [36, 68, 67, 114]
Generated Node #2: [36, 68, 67, 114] from Operation: 2*57=114
Current State: 57:[36, 68, 67, 114], Operations: ['2*57=114']
Exploring Operation: 36+68=104, Resulting Numbers: [67, 114, 104]
Generate... | 5 | Current State: 57:[2, 36, 57, 68, 67], Operations: []
Exploring Operation: 68-67=1, Resulting Numbers: [2, 36, 57, 1]
Generated Node #0,0: 57:[2, 36, 57, 1] Operation: 68-67=1
Exploring Operation: 36/2=18, Resulting Numbers: [57, 68, 67, 18]
Generated Node #0,1: 57:[57, 68, 67, 18] Operation: 36/2=18
Moving to Node #0,... | 0 | hs_2 | mult_heuristic | 2 | 2,410 |
[
75,
3,
49,
7,
82
] | 16 | [
"75+7=82",
"82/82=1",
"49-1=48",
"48/3=16"
] | Current State: 16:[75, 3, 49, 7, 82], Operations: []
Exploring Operation: 75+7=82, Resulting Numbers: [3, 49, 82, 82]
Generated Node #2: [3, 49, 82, 82] from Operation: 75+7=82
Current State: 16:[3, 49, 82, 82], Operations: ['75+7=82']
Exploring Operation: 82/82=1, Resulting Numbers: [3, 49, 1]
Generated Node #3: [3, 4... | 5 | Current State: 16:[75, 3, 49, 7, 82], Operations: []
Exploring Operation: 82-75=7, Resulting Numbers: [3, 49, 7, 7]
Generated Node #0,0: 16:[3, 49, 7, 7] Operation: 82-75=7
Exploring Operation: 75-49=26, Resulting Numbers: [3, 7, 82, 26]
Generated Node #0,1: 16:[3, 7, 82, 26] Operation: 75-49=26
Exploring Operation: 82... | 0 | hs_3 | mult_heuristic | 3 | 7,804 |
[
31,
43,
16,
85,
62
] | 84 | [
"43-31=12",
"85-16=69",
"69-62=7",
"12*7=84"
] | Current State: 84:[31, 43, 16, 85, 62], Operations: []
Exploring Operation: 43-31=12, Resulting Numbers: [16, 85, 62, 12]
Generated Node #2: [16, 85, 62, 12] from Operation: 43-31=12
Current State: 84:[16, 85, 62, 12], Operations: ['43-31=12']
Exploring Operation: 85-16=69, Resulting Numbers: [62, 12, 69]
Generated Nod... | 5 | Current State: 84:[31, 43, 16, 85, 62], Operations: []
Exploring Operation: 62/31=2, Resulting Numbers: [43, 16, 85, 2]
Generated Node #0,0: 84:[43, 16, 85, 2] Operation: 62/31=2
Exploring Operation: 85-62=23, Resulting Numbers: [31, 43, 16, 23]
Generated Node #0,1: 84:[31, 43, 16, 23] Operation: 85-62=23
Exploring Ope... | 0.994857 | hs_5 | mult_heuristic | 5 | 16,046 |
[
57,
14,
61,
51,
17
] | 99 | [
"57+14=71",
"61-51=10",
"17*10=170",
"170-71=99"
] | Current State: 99:[57, 14, 61, 51, 17], Operations: []
Exploring Operation: 57+14=71, Resulting Numbers: [61, 51, 17, 71]
Generated Node #2: [61, 51, 17, 71] from Operation: 57+14=71
Current State: 99:[61, 51, 17, 71], Operations: ['57+14=71']
Exploring Operation: 61-51=10, Resulting Numbers: [17, 71, 10]
Generated Nod... | 5 | Current State: 99:[57, 14, 61, 51, 17], Operations: []
Exploring Operation: 61-51=10, Resulting Numbers: [57, 14, 17, 10]
Generated Node #0,0: 99:[57, 14, 17, 10] Operation: 61-51=10
Exploring Operation: 57-51=6, Resulting Numbers: [14, 61, 17, 6]
Generated Node #0,1: 99:[14, 61, 17, 6] Operation: 57-51=6
Exploring Ope... | 0 | hs_3 | mult_heuristic | 3 | 8,193 |
[
24,
74,
50,
41,
87
] | 19 | [
"41-24=17",
"87-50=37",
"74/37=2",
"17+2=19"
] | Current State: 19:[24, 74, 50, 41, 87], Operations: []
Exploring Operation: 41-24=17, Resulting Numbers: [74, 50, 87, 17]
Generated Node #2: [74, 50, 87, 17] from Operation: 41-24=17
Current State: 19:[74, 50, 87, 17], Operations: ['41-24=17']
Exploring Operation: 87-50=37, Resulting Numbers: [74, 17, 37]
Generated Nod... | 5 | Current State: 19:[24, 74, 50, 41, 87], Operations: []
Exploring Operation: 87-74=13, Resulting Numbers: [24, 50, 41, 13]
Generated Node #0,0: 19:[24, 50, 41, 13] Operation: 87-74=13
Exploring Operation: 74-50=24, Resulting Numbers: [24, 41, 87, 24]
Generated Node #0,1: 19:[24, 41, 87, 24] Operation: 74-50=24
Exploring... | 0.9977 | hs_3 | mult_heuristic | 3 | 7,753 |
[
46,
74,
82,
44,
57
] | 20 | [
"74-46=28",
"57*28=1596",
"44+1596=1640",
"1640/82=20"
] | Current State: 20:[46, 74, 82, 44, 57], Operations: []
Exploring Operation: 74-46=28, Resulting Numbers: [82, 44, 57, 28]
Generated Node #2: [82, 44, 57, 28] from Operation: 74-46=28
Current State: 20:[82, 44, 57, 28], Operations: ['74-46=28']
Exploring Operation: 57*28=1596, Resulting Numbers: [82, 44, 1596]
Generated... | 5 | Current State: 20:[46, 74, 82, 44, 57], Operations: []
Exploring Operation: 74-57=17, Resulting Numbers: [46, 82, 44, 17]
Generated Node #0,0: 20:[46, 82, 44, 17] Operation: 74-57=17
Exploring Operation: 82-57=25, Resulting Numbers: [46, 74, 44, 25]
Generated Node #0,1: 20:[46, 74, 44, 25] Operation: 82-57=25
Exploring... | 0 | hs_4 | mult_heuristic | 4 | 18,370 |
[
77,
65,
62,
67,
68
] | 85 | [
"77-65=12",
"67-62=5",
"68+12=80",
"5+80=85"
] | Current State: 85:[77, 65, 62, 67, 68], Operations: []
Exploring Operation: 77-65=12, Resulting Numbers: [62, 67, 68, 12]
Generated Node #2: [62, 67, 68, 12] from Operation: 77-65=12
Current State: 85:[62, 67, 68, 12], Operations: ['77-65=12']
Exploring Operation: 67-62=5, Resulting Numbers: [68, 12, 5]
Generated Node ... | 5 | Current State: 85:[77, 65, 62, 67, 68], Operations: []
Exploring Operation: 67-62=5, Resulting Numbers: [77, 65, 68, 5]
Generated Node #0,0: 85:[77, 65, 68, 5] Operation: 67-62=5
Exploring Operation: 65-62=3, Resulting Numbers: [77, 67, 68, 3]
Generated Node #0,1: 85:[77, 67, 68, 3] Operation: 65-62=3
Moving to Node #0... | 0.999436 | hs_2 | mult_heuristic | 2 | 2,180 |
[
32,
26,
83,
3,
86
] | 31 | [
"83-32=51",
"86-26=60",
"60/3=20",
"51-20=31"
] | Current State: 31:[32, 26, 83, 3, 86], Operations: []
Exploring Operation: 83-32=51, Resulting Numbers: [26, 3, 86, 51]
Generated Node #2: [26, 3, 86, 51] from Operation: 83-32=51
Current State: 31:[26, 3, 86, 51], Operations: ['83-32=51']
Exploring Operation: 86-26=60, Resulting Numbers: [3, 51, 60]
Generated Node #3:... | 5 | Current State: 31:[32, 26, 83, 3, 86], Operations: []
Exploring Operation: 83-32=51, Resulting Numbers: [26, 3, 86, 51]
Generated Node #0,0: 31:[26, 3, 86, 51] Operation: 83-32=51
Exploring Operation: 86-83=3, Resulting Numbers: [32, 26, 3, 3]
Generated Node #0,1: 31:[32, 26, 3, 3] Operation: 86-83=3
Start Sub Search a... | 0 | hs_2 | mult_heuristic | 2 | 2,467 |
End of preview.