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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
step: int64
prompt_id: string
sample_idx: int64
eq_correct: int64
gt_pass_rate: double
mutated_v_passrate: double
tests: list<item: struct<id: string, src: string, visibility: string, mutated: bool, passed: int64>>
child 0, item: struct<id: string, src: string, visibility: string, mutated: bool, passed: int64>
child 0, id: string
child 1, src: string
child 2, visibility: string
child 3, mutated: bool
child 4, passed: int64
real_v: list<item: int64>
child 0, item: int64
eq_hinted: int64
to
{'step': Value('int64'), 'prompt_id': Value('string'), 'sample_idx': Value('int64'), 'eq_correct': Value('int64'), 'eq_hinted': Value('int64'), 'gt_pass_rate': Value('float64'), 'tests': List({'id': Value('string'), 'src': Value('string'), 'visibility': Value('string'), 'passed': Value('int64')})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
step: int64
prompt_id: string
sample_idx: int64
eq_correct: int64
gt_pass_rate: double
mutated_v_passrate: double
tests: list<item: struct<id: string, src: string, visibility: string, mutated: bool, passed: int64>>
child 0, item: struct<id: string, src: string, visibility: string, mutated: bool, passed: int64>
child 0, id: string
child 1, src: string
child 2, visibility: string
child 3, mutated: bool
child 4, passed: int64
real_v: list<item: int64>
child 0, item: int64
eq_hinted: int64
to
{'step': Value('int64'), 'prompt_id': Value('string'), 'sample_idx': Value('int64'), 'eq_correct': Value('int64'), 'eq_hinted': Value('int64'), 'gt_pass_rate': Value('float64'), 'tests': List({'id': Value('string'), 'src': Value('string'), 'visibility': Value('string'), 'passed': Value('int64')})}
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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, 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.
step int64 | prompt_id string | sample_idx int64 | eq_correct int64 | eq_hinted int64 | gt_pass_rate float64 | tests list |
|---|---|---|---|---|---|---|
0 | 2579 | 0 | 0 | 0 | 0 | [
{
"id": "2579#0",
"src": "assert Solution().coloredCells(n = 3) == 13",
"visibility": "reward",
"passed": 0
},
{
"id": "2579#1",
"src": "assert Solution().coloredCells(n = 100000) == 19999800001",
"visibility": "reward",
"passed": 0
},
{
"id": "2579#2",
"src": "assert... |
0 | 2579 | 1 | 0 | 0 | 0 | [
{
"id": "2579#0",
"src": "assert Solution().coloredCells(n = 3) == 13",
"visibility": "reward",
"passed": 0
},
{
"id": "2579#1",
"src": "assert Solution().coloredCells(n = 100000) == 19999800001",
"visibility": "reward",
"passed": 0
},
{
"id": "2579#2",
"src": "assert... |
0 | 41 | 2 | 1 | 0 | 1 | [
{
"id": "41#0",
"src": "assert Solution().firstMissingPositive(nums = [1000000, -1000000, 500000]) == 1",
"visibility": "reward",
"passed": 1
},
{
"id": "41#1",
"src": "assert Solution().firstMissingPositive(nums = [1000000, -1000000, 1]) == 2",
"visibility": "reward",
"passed": ... |
0 | 763 | 3 | 0 | 0 | 0.265625 | [
{
"id": "763#0",
"src": "assert Solution().partitionLabels(s = \"abcdabcde\") == [8, 1]",
"visibility": "reward",
"passed": 0
},
{
"id": "763#1",
"src": "assert Solution().partitionLabels(s = \"aaaaaabbbbbccccc\") == [6, 5, 5]",
"visibility": "reward",
"passed": 1
},
{
"i... |
0 | 763 | 4 | 0 | 0 | 0.265625 | [
{
"id": "763#0",
"src": "assert Solution().partitionLabels(s = \"abcdabcde\") == [8, 1]",
"visibility": "reward",
"passed": 0
},
{
"id": "763#1",
"src": "assert Solution().partitionLabels(s = \"aaaaaabbbbbccccc\") == [6, 5, 5]",
"visibility": "reward",
"passed": 1
},
{
"i... |
0 | 763 | 5 | 0 | 0 | 0.265625 | [
{
"id": "763#0",
"src": "assert Solution().partitionLabels(s = \"abcdabcde\") == [8, 1]",
"visibility": "reward",
"passed": 0
},
{
"id": "763#1",
"src": "assert Solution().partitionLabels(s = \"aaaaaabbbbbccccc\") == [6, 5, 5]",
"visibility": "reward",
"passed": 1
},
{
"i... |
0 | 1072 | 8 | 1 | 0 | 1 | [
{
"id": "1072#0",
"src": "assert Solution().maxEqualRowsAfterFlips(matrix = [[0,1],[1,0]]) == 2",
"visibility": "reward",
"passed": 1
},
{
"id": "1072#1",
"src": "assert Solution().maxEqualRowsAfterFlips(matrix = [[1,0,0,1],[1,0,0,1],[0,1,1,0]]) == 3",
"visibility": "reward",
"pa... |
0 | 1055 | 10 | 1 | 0 | 1 | [
{
"id": "1055#0",
"src": "assert Solution().shortestWay(source = \"abcd\", target = \"dddbbbccccaaa\") == 12",
"visibility": "reward",
"passed": 1
},
{
"id": "1055#1",
"src": "assert Solution().shortestWay(source = \"a\", target = \"a\") == 1",
"visibility": "reward",
"passed": 1... |
0 | 1072 | 11 | 1 | 0 | 1 | [
{
"id": "1072#0",
"src": "assert Solution().maxEqualRowsAfterFlips(matrix = [[0,1],[1,0]]) == 2",
"visibility": "reward",
"passed": 1
},
{
"id": "1072#1",
"src": "assert Solution().maxEqualRowsAfterFlips(matrix = [[1,0,0,1],[1,0,0,1],[0,1,1,0]]) == 3",
"visibility": "reward",
"pa... |
0 | 2498 | 12 | 0 | 0 | 0 | [
{
"id": "2498#0",
"src": "assert Solution().maxJump(stones = [0,10,15,20,25]) == 15",
"visibility": "reward",
"passed": 0
},
{
"id": "2498#1",
"src": "assert Solution().maxJump(stones = [0,1,2,3,4,5]) == 2",
"visibility": "reward",
"passed": 0
},
{
"id": "2498#2",
"sr... |
0 | 2498 | 13 | 0 | 0 | 0 | [
{
"id": "2498#0",
"src": "assert Solution().maxJump(stones = [0,10,15,20,25]) == 15",
"visibility": "reward",
"passed": 0
},
{
"id": "2498#1",
"src": "assert Solution().maxJump(stones = [0,1,2,3,4,5]) == 2",
"visibility": "reward",
"passed": 0
},
{
"id": "2498#2",
"sr... |
0 | 1130 | 14 | 0 | 0 | 0 | [
{
"id": "1130#0",
"src": "assert Solution().mctFromLeafValues(arr = [1,2,3,4]) == 20",
"visibility": "reward",
"passed": 0
},
{
"id": "1130#1",
"src": "assert Solution().mctFromLeafValues(arr = [3,2,1]) == 8",
"visibility": "reward",
"passed": 0
},
{
"id": "1130#2",
"... |
0 | 870 | 15 | 0 | 0 | 0.42 | [
{
"id": "870#0",
"src": "assert Solution().advantageCount(nums1 = [10,20,30,40,50], nums2 = [5,15,25,35,45]) == [10, 20, 30, 40, 50]",
"visibility": "reward",
"passed": 1
},
{
"id": "870#1",
"src": "assert Solution().advantageCount(nums1 = [5,15,25,35], nums2 = [10,20,30,40]) == [15, 25,... |
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