VeriScale
Collection
📝Official dataset for the paper:
VeriScale: Adversarial Test-Suite Scaling for Verifiable Code Generation • 2 items • Updated
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The dataset generation failed
Error code: DatasetGenerationError
Exception: ValueError
Message: Value is too big!
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 251, in _generate_tables
batch = "\n".join(ujson_dumps(x) for x in ujson_loads(full_data)).encode()
~~~~~~~~~~~^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Value is too big!
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.
input dict | expected int64 | unexpected list |
|---|---|---|
{
"nums": "[2, 2, 3]"
} | 3 | [
0,
7,
2
] |
{
"nums": "[1, 2, 2]"
} | 1 | [
0,
2,
3,
5
] |
{
"nums": "[3, 3, 4, 4, 1]"
} | 1 | [
15,
5,
0,
3
] |
{
"nums": "[0, 1, 3, 1, 3, 88, 88, 100, 100]"
} | 0 | [
9,
100,
384
] |
{
"nums": "[-1, -1, 7, 9, 7]"
} | 9 | [
-1,
21,
0,
5,
7
] |
{
"nums": "[5]"
} | 5 | [
1,
0
] |
{
"nums": "[10, 14, 10, 14, -3]"
} | -3 | [
5,
45,
10,
0
] |
{
"nums": "[-5, 0, -5, 0, 11]"
} | 11 | [
0,
1,
5,
-5
] |
{
"nums": "[6, 6, 0]"
} | 0 | [
6,
12,
3
] |
{
"nums": "[0, 6, 6]"
} | 0 | [
3,
12,
6
] |
{
"nums": "[-2, -2, -1, -1, -3]"
} | -3 | [
-2,
-9,
5,
0
] |
{
"nums": "[42, 17, 42, 17, 99, 99, -100]"
} | -100 | [
0,
216,
42,
7
] |
{
"nums": "[8, 1, 8, 2, 2, 1, 7]"
} | 7 | [
8,
29,
0
] |
{
"nums": "[4, 5, 4, 6, 5, 6, 9]"
} | 9 | [
0,
4,
39,
7
] |
{
"nums": "[1000, -1000, 1000, -1000, 123456]"
} | 123,456 | [
0,
1000,
5
] |
{
"nums": "[2147483647, -2147483648, 2147483647]"
} | -2,147,483,648 | [
0,
3,
2147483647,
2147483646
] |
{
"nums": "[-2147483648, 7, 7]"
} | -2,147,483,648 | [
0,
-2147483634,
7,
3
] |
{
"nums": "[9, 9, 8, 8, 7, 7, 6]"
} | 6 | [
7,
9,
54,
0
] |
{
"nums": "[1, 1, 2, 2, 3, 3, 4, 4, -9]"
} | -9 | [
1,
9,
0,
11
] |
{
"nums": "[11, 12, 11, 13, 12, 14, 13, 14, 15]"
} | 15 | [
11,
0,
9,
115
] |
{
"nums": "[30, 31, 32, 31, 30, 32, -1]"
} | -1 | [
0,
30,
7,
185
] |
{
"nums": "[-10, -20, -10, -30, -20, -30, 5]"
} | 5 | [
-115,
-10,
0,
7
] |
{
"nums": "[2, 3, 2, 4, 3, 5, 4, 5, 6]"
} | 6 | [
0,
9,
2,
34
] |
{
"nums": "[0, 0, -1, -1, -2, -2, -3]"
} | -3 | [
0,
-9,
7
] |
{
"nums": "[50, 60, 50, 70, 80, 70, 60, 80, 90]"
} | 90 | [
50,
610,
9,
0
] |
{
"nums": "[7, 8, 9, 8, 7, 10, 9, 10, 11]"
} | 11 | [
0,
7,
79,
9
] |
{
"nums": "[100, 200, 300, 100, 200, 300, 400]"
} | 400 | [
0,
100,
1600,
7
] |
{
"nums": "[-7, -8, -7, -9, -8, -9, -10]"
} | -10 | [
0,
-7,
7,
-58
] |
{
"nums": "[1, 3, 1, 4, 3, 5, 4, 5, 6, 6, 7]"
} | 7 | [
1,
0,
11,
45
] |
{
"nums": "[12, 13, 14, 12, 15, 13, 14, 15, 16]"
} | 16 | [
0,
12,
9,
124
] |
{
"nums": "[-4, -4, -3, -3, -2, -2, -1, -1, 0]"
} | 0 | [
9,
-4,
-20
] |
{
"nums": "[99, 98, 97, 99, 98, 97, 96, 95, 95]"
} | 96 | [
0,
99,
95,
9,
874
] |
{
"nums": "[2, 2, 3, 0, 0]"
} | 3 | [
0,
2,
5,
7
] |
{
"nums": "[2]"
} | 2 | [
0,
1
] |
{
"nums": "[0, 0, 31, 2, 2]"
} | 31 | [
0,
35,
5,
2
] |
{
"nums": "[1, 1, 2]"
} | 2 | [
0,
3,
1,
4
] |
{
"nums": "[3, 3, 4, 4, 0]"
} | 0 | [
3,
14,
5
] |
{
"nums": "[4, 4, 2]"
} | 2 | [
4,
10,
0,
3
] |
{
"nums": "[100, 100, 88, 88, 1, 3, 1, 0, 0]"
} | 3 | [
0,
100,
381,
9
] |
{
"nums": "[100, 100, 88, 88, 3, 1, 3, 1, 0]"
} | 0 | [
100,
9,
384
] |
{
"nums": "[0, 1, 3, 1, 3, 88, 88, 100, 100, 0, -10]"
} | -10 | [
0,
11,
374
] |
{
"nums": "[0, 100, 100, 88, 3, 1, 3, 1, 0]"
} | 88 | [
0,
296,
9
] |
{
"nums": "[7, 7, -1, -1, 0]"
} | 0 | [
7,
5,
12
] |
{
"nums": "[7, 9, 7, -1, -1]"
} | 9 | [
0,
7,
21,
5,
-1
] |
{
"nums": "[2, 2, -3]"
} | -3 | [
0,
3,
2,
1
] |
{
"nums": "[0, 0, 2]"
} | 2 | [
0,
3
] |
{
"nums": "[1]"
} | 1 | [
0
] |
{
"nums": "[0, 2, 2]"
} | 0 | [
3,
2,
4
] |
{
"nums": "[4]"
} | 4 | [
0,
1
] |
{
"nums": "[3, 3, 2]"
} | 2 | [
3,
0,
8
] |
{
"nums": "[2, 2, 3, 3, 0]"
} | 0 | [
2,
5,
10
] |
{
"nums": "[0, 0, 11, 3, 3, 2, 2]"
} | 11 | [
0,
2,
7,
21
] |
{
"nums": "[2, 2, 3, 3, 60]"
} | 60 | [
0,
70,
2,
5
] |
{
"nums": "[3, 0, 0]"
} | 3 | [
0
] |
{
"nums": "[0]"
} | 0 | [
1
] |
{
"nums": "[10, 0, 0]"
} | 10 | [
0,
3
] |
{
"nums": "[-1]"
} | -1 | [
0,
1
] |
{
"nums": "[3, 2, 2]"
} | 3 | [
2,
7,
0
] |
{
"nums": "[3]"
} | 3 | [
0,
1
] |
{
"nums": "[0, 3, 3]"
} | 0 | [
3,
6
] |
{
"nums": "[1, 0, 0]"
} | 1 | [
0,
3
] |
{
"nums": "[200, 2, 2]"
} | 200 | [
0,
2,
3,
204
] |
{
"nums": "[4, 3, 3]"
} | 4 | [
3,
10,
0
] |
{
"nums": "[3, 3, 4, 4, 2]"
} | 2 | [
0,
5,
3,
16
] |
{
"nums": "[0, 1, 3, 1, 88, 88, 100, 100, 0]"
} | 3 | [
0,
9,
381
] |
{
"nums": "[100, 100, 0, 88, 3, 1, 3, 1, 0]"
} | 88 | [
9,
100,
296,
0
] |
{
"nums": "[9, -1, -1]"
} | 9 | [
-1,
3,
7,
0
] |
{
"nums": "[-1, -1, 7, 9, 7, 0, 0]"
} | 9 | [
0,
7,
-1,
21
] |
{
"nums": "[0, 7, 7, -1, -1]"
} | 0 | [
5,
12,
-1
] |
{
"nums": "[11, 0, -5, 0, -5]"
} | 11 | [
1,
0,
5,
-5
] |
{
"nums": "[0, 0, 10]"
} | 10 | [
0,
3
] |
{
"nums": "[1000, 0, 1000, 6, 6]"
} | 0 | [
1000,
6,
2012,
5
] |
{
"nums": "[88, 6, 6]"
} | 88 | [
0,
6,
3,
100
] |
{
"nums": "[0, 6, 0]"
} | 6 | [
3,
0
] |
{
"nums": "[16, 0, 6, 6, 0]"
} | 16 | [
0,
5,
28
] |
{
"nums": "[-3, -1, -1, -2, -2]"
} | -3 | [
0,
-2,
-9,
5
] |
{
"nums": "[0, 0, -3, -1, -1, -2, -2]"
} | -3 | [
0,
-2,
7,
-9
] |
{
"nums": "[42, 17, 42, 17, 99, 99, -100, 0, 0]"
} | -100 | [
0,
42,
9,
216
] |
{
"nums": "[42, 17, 42, 17, 99, 99, 100]"
} | 100 | [
7,
42,
416,
0
] |
{
"nums": "[9, 6, 5, 6, 4, 5, 4]"
} | 9 | [
0,
7,
4,
39
] |
{
"nums": "[1000, -1000, 1000, -1000, 0]"
} | 0 | [
1000,
5
] |
{
"nums": "[-2147483648]"
} | -2,147,483,648 | [
0,
1
] |
{
"nums": "[7, 7, 0]"
} | 0 | [
7,
14,
3
] |
{
"nums": "[-9]"
} | -9 | [
0,
1
] |
{
"nums": "[6, 7, 7, 8, 8, 9, 9]"
} | 6 | [
0,
9,
7,
54
] |
{
"nums": "[-9, 4, 4, 3, 3, 2, 2, 1, 1]"
} | -9 | [
1,
9,
0,
11
] |
{
"nums": "[11, 12, 11, 13, 12, 14, 13]"
} | 14 | [
0,
11,
7,
86,
13
] |
{
"nums": "[-1, 32, 30, 31, 32, 31, 30]"
} | -1 | [
7,
0,
185,
30
] |
{
"nums": "[0, 32, 30, 31, 32, 31, 30]"
} | 0 | [
186,
7,
30
] |
{
"nums": "[5, -30, -20, -30, -10, -20, -10]"
} | 5 | [
0,
-10,
-115,
7
] |
{
"nums": "[2, 3, 2, 4, 6, 4, 6]"
} | 3 | [
0,
27,
2,
6,
7
] |
{
"nums": "[6, 5, 4, 5, 3, 4, 2, 3, 2]"
} | 6 | [
9,
34,
2,
0
] |
{
"nums": "[-3, -2, -2, -1, -1, 0, 0]"
} | -3 | [
0,
-9,
7
] |
{
"nums": "[7, 9, 10, 7, 10, 9, 11]"
} | 11 | [
0,
7,
63
] |
{
"nums": "[-11, 10, 9, 10, 7, 8, 9, 8, 7]"
} | -11 | [
7,
9,
0,
57
] |
{
"nums": "[0, 300, 200, 100, 300, 200, 100]"
} | 0 | [
100,
7,
1200
] |
{
"nums": "[-7, -8, -7, -9, -8, -9, -10, 0, 0]"
} | -10 | [
0,
-58,
9,
-7
] |
{
"nums": "[16, 15, 14, 13, 15, 12, 14, 13, 12]"
} | 16 | [
0,
124,
12,
9
] |
{
"nums": "[12, 13, 14, 12, 15, 13, 14, 15, -4]"
} | -4 | [
0,
104,
9,
12
] |
{
"nums": "[16, 15, 14, 13, 15, 12, 14, 13, 12, 0, 0]"
} | 16 | [
0,
124,
11
] |
End of preview.
This dataset was generated by VeriScale through the expansion of Verina. Corresponding paper: https://arxiv.org/abs/2605.22368v1
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