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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
sample_id: string
source: string
ground_truth: string
n_correct: int64
n_total: int64
pass_at_8: double
responses: list<item: string>
  child 0, item: string
to
{'sample_id': Value('string'), 'source': Value('string'), 'ground_truth': Value('string'), 'n_correct': Value('int64'), 'n_total': Value('int64'), 'pass_at_8': Value('float64')}
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
              sample_id: string
              source: string
              ground_truth: string
              n_correct: int64
              n_total: int64
              pass_at_8: double
              responses: list<item: string>
                child 0, item: string
              to
              {'sample_id': Value('string'), 'source': Value('string'), 'ground_truth': Value('string'), 'n_correct': Value('int64'), 'n_total': Value('int64'), 'pass_at_8': Value('float64')}
              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 dataset

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sample_id
string
source
string
ground_truth
string
n_correct
int64
n_total
int64
pass_at_8
float64
97a4e8d143a3b0fcbdc802d3d89b021bf4dd45bb15fcad901301aa99206464f0
olympiads
9
8
8
1
0a046963315c5282775d500f72f0cb01dddb63e066f853a4519137ae6783a654
omnimath
28
8
8
1
a2293932c9a3059c41905692c4e069d39f98a847a53bd9845cb8a81b2c672fd4
cn_k12
9
8
8
1
1a8d9650c5d4071509268aea583e30655a44651414f61034b264583306d5bf93
olympiads
m = \frac{a (\sqrt{5} - 1)}{2}
0
8
0
f24b739b0feb364049e18f432a2d088da17bced68cada77f092a34fa94614f5b
orca_math
4.2
0
8
0
ea88a3d716f709c8c1d5b0dd31b009297f53640dd5ce791035eb7b05adc8d670
big_math
-\frac{1}{16}
8
8
1
b6e3311404f76feebb56fda3cdc435b26325e8618a3dc232b982b2963b8e0d3a
orca_math
40
0
8
0
d7c56c078b775dc3adf7db215353bfeb291cc591278572d3297a5db137f27323
omnimath
262
1
8
1
e8ce23fbe32e741a1c0e2d3e7262c57242659771b04018c0f09db10fe67a7a9f
big_math
252
8
8
1
6915a67e404f05d60b017f49b779d36a02d2b81c489bbda45ddec0cef66639a0
olympiads
0.96
8
8
1
9ef8f6ffac49a87cf2e507baed8d8e8f9cbfbbf9ec2daf869342b0fb633e84c0
olympiads
\frac{16}{3}
1
8
1
8b337938f377d1cfc5e1f0b6d00db884b8730281d5a64b7eed7a89e2162cfa2c
cn_k12
100000010
7
8
1
03ea8cd007480dee0cc74f9aa13cf510dec4110752b9848172c69a0e6e067b5d
olympiads
-3, -2, 0, 1
1
8
1
46279a5214a8d9f9941ec759182a87ffaf246a8dcbf2a29762d6a2b045d724e5
orca_math
25
0
8
0
37e9a0e5c0e2516b8bc3ea2c2be67589edf0ee0a44e6b68b969d4b2f171f3be3
orca_math
299.94
0
8
0
69296c9b58b230e5f08a921b8c238c2315a476bb6706d4436cec4e2253e0bfa1
orca_math
4
0
8
0
11f868129312fe59664081281fe01df8e1763d2584f2334c31ba2584c08375f5
harp
$9\text{ and }-7$
0
8
0
c2487d7b86aef37a1a44f69fc091056ed863b0242c0b8c628a7e1adcd8e966b7
big_math
-9
8
8
1
61bbb2794d9fd72d19465784571a8c9df20595b27b7d38219c8cc8b8afdc6c83
aops_forum
1008
8
8
1
7e8e7c5e51eabb25ce0cba424aea05184381827c487ff0ddca240df875ddf36a
orca_math
31.25\%
8
8
1
e61ce31f311b28cf729c17c1406f57cba7ef2b9972956395bfcf1a11056a9562
big_math
16
1
8
1
9f2648401f01bf9c877d37f4269dbfd1f83e2702712ac9d4f834b3724545f200
big_math
a \leq -2
8
8
1
8b2588aa340fb8187c0785f9187025413993f8d2f848e655979d79f79ee47c29
cn_k12
978
8
8
1
c4587a0407d09b26879925bb2da9369810e77f9576ff0bb7d4c79491631880f1
aops_forum
\frac{92}{61}
6
8
1
60dad295dbd5d2b462e9695b18a7578d89f9fd914db7aba9ee035202d65959d9
omnimath
1019088
1
8
1
d6cdf83b6458801dfd114c0b86a3c31fb41bd075c5a6720179ef38227ec62dd1
olympiads
225
8
8
1
a4d0842b9987e2108dece5120e1eba77044ca59ff1c6f6318b23de611e7bc8e5
aops_forum
1003
8
8
1
d548f5826bbe0a23b8128537ee93b0c5404e7a7404747cb72af50c4617f875cf
olympiads
4(1 + \sqrt{3})
0
8
0
494ea5850d58e12a7033395d0fd2e03206898d1f10ca2f72e394bfe53b87720c
cn_k12
6
8
8
1
b7c7f9b043fdcd2ab96d69c6fbc5ca283f58ac73bb8c8d8aa02a271bd6743bca
harp
$\frac{19}{15}<\frac{17}{13}<\frac{15}{11}$
0
8
0
1a1ac730e5cd71ef9f3ad8a9a7a22bf6b2e3072923702eb3f1786a8d5752c27f
cn_k12
44
8
8
1
36e68789fdd6a9f7e509bd165e7f1335a48b7ea02f5947d5a8b499f38f7ecbe6
cn_k12
\frac{9}{4}
8
8
1
ba3b3517733b38b2ca2aaa29eef24ae376d373e95bd43a356eba478d7c42c610
cn_k12
4
8
8
1
a4c31de053a88ed1b93d03d5f223d281bc09080aec4e63f9706c83c7fbe9a413
olympiads
9 \, \text{m}
8
8
1
9d2aefd6bb795d9afed47e0c1b6cf5ea47e2e68df556ff8d1420fbbfe83742a6
aops_forum
24
1
8
1
13264dab05391ce3ed3be10322cb5ccf649fab9dfad687d5ba34bf10a740502c
cn_k12
12
8
8
1
25cb09ded4a501134eafac50c01325e603ffee7c14bd98c281ecbedc05fe791a
harp
$289$
8
8
1
a57d2478d9d96f97fad6a63174e6cbd8a19fac98dacd2985c643ac1d60d3e009
aops_forum
\gcd(n, 101!) = 1
0
8
0
a13e72cad1ae504669cb4eb891a06d66b2a9591c5d3af74657952d17da5b06c3
cn_k12
2, 14, 98
8
8
1
6068f62c55332da83525e56b7649b963a6ecd6a21f0d29abfe30e3e839367f4b
olympiads
5
5
8
1
73870d92ed93997100dc396221fe7a714cef410fbbb04ae7357eaa3eb6b54ab2
olympiads
\left(-\infty, -1 - \frac{\sqrt{2}}{4}\right) \cup \left(-\frac{1}{2}, 0\right)
0
8
0
36196fb2664936edaae1cd774c9a7ada28fabf2b1e433deed15b0ec3c6a9ca73
cn_k12
(-\infty, 3]
3
8
1
e53e5614e2152eaeebaf3ab214c7772b00cbbac90d22452461095a2771be032f
olympiads
\frac{1}{2}
0
8
0
ddf4764882f66918bd01ac88d0251741c1cb3b8ba5b2a847c097423616c9c6fc
cn_k12
3
8
8
1
a15f56746019d4117766a0d559c8909322ecf0cfc7550270fbf6f780ce5114be
olympiads
181440
0
8
0
953e0b6f9d67b714dc12a4d05d2a73560ecf1a5933006f6af8ccf4bba532c391
harp
$\frac{31}{300}$
7
8
1
71050e782e0ac7d7326e889d208448b59e2278e4a0b4944d7822f3c27110c550
olympiads
\left\{-1, \frac{31}{28}\right\}
0
8
0
95ac7de64dcdafd9f3f58e551013eca384cc86ded66296fc362f35b14ac1fbce
orca_math
43
0
8
0
cf0506b12b6c4c8dd733477d75271083bea36a8b7db60c1ca12d44f6d3f05dfb
olympiads
1009
8
8
1
c5fb63bda6766c1ad3f3308e98c7ec1df69e9a9d6aa39c8126a57029f5e0d8c7
cn_k12
f(2015\sin 2\alpha) = 0
0
8
0
1c636e6ce0468d4a24db3afbd7f4bbe480fa85e6cd343e1405198c1e92223993
olympiads
51.25
0
8
0
67dd1579e024329ee801c0b2e488a04b4b63074f2a4f6b0372adbfea73575ac4
cn_k12
\frac{32}{3}
8
8
1
33339ba96ee666ffb1aeb19adba0b0738db0983aeb649c076cf13dc1adea6bc4
olympiads
\frac{3}{7}
0
8
0
df1c287126302b53326faa40b4b18ae5a8e961bd9aa7f1917074f661cdaa5fe6
olympiads
10
8
8
1
b049bdde077ea5f09636848610ac61d29074c8751bd4d5af0f1362784708a05f
big_math
16
8
8
1
222b3b126a0b3d91dd8f067aed07f745b24ad83213915c06347529e67d9a1095
olympiads
1979
2
8
1
6f54cc46b8c2ed60c29d860b1aa878aba15e09f2f1725c9244aebad0c0a55de3
omnimath
25502400
8
8
1
86896fb9f51873ecfe00018b9de253c89af8d951f64b3ed8530c2f7dc1224aee
olympiads
1
8
8
1
b5ad1c5b93c0bfefb05572f5aa94eb504c6cf3ad78fabf43354e7ba0e9ef1953
cn_k12
4
2
8
1
aede8b1b03b2e96beac303e24e024a3526f717d072da88cf643d713533645f10
big_math
\frac{1}{7}
8
8
1
96092474f9175251bb86cbb8b5b453656998b1cc6a8c1952f08aadd2960c1277
olympiads
AD = \frac{3}{\sin 15^ aturale} \text{ or } AD = \frac{3}{\sin 75^ aturale}
0
8
0
b2571e8eb2df58a0a885fb333c370b093db8d1f19491e81a6414ddb323e205b1
big_math
\frac{61}{81}
8
8
1
1090a910b68b32131280f1457283668ddaae268078f0cc447558e055fd12b502
omnimath
$f(n) = n + 1 \text{ for all n; or, for some } a \ge 1 ,f(n) = \left\{\begin{matrix} n + 1,&n > -a,\\-n + 1, & n \le -a; \end{matrix}\right. \text{ or } f(n) = \left\{\begin{matrix} n + 1,&n > 0, \\ 0,&n = 0, \\ -n + 1,&n < 0. \end{matrix}\right. $
0
8
0
a64c6cdb6eb2ab901ddfe040b05e9b824ce8e512851d25441a7f601d4044c2e5
olympiads
x \approx 1.06a
0
8
0
ecb1bc7adb365ef340b023703fa644cad9040ef55b6bfad2994720a0a7c944a7
big_math
6
8
8
1
e6a8b53dc20011c9682afa5a76f970be084d1d8334a9f992222998693e99d473
olympiads
3000
6
8
1
ee2a3e16d50f160b48b3016d9c3e27577f96540084c1fc43496e6530ca51a8ef
olympiads
3^{20}
4
8
1
0936c893a58c662bc95431b6ca6bdc17a082a19aabc8b8654831171df8d0ec5a
cn_k12
72
8
8
1
4254f4d6eab8c40def4fd797e1111a01b7148f323d8c8c74ad4e277fd164f073
olympiads
1225
8
8
1
4c060a24c54ba9920d47aa2af1de5063e323e534c90899053527e147cdb6b756
olympiads
20
8
8
1
65774583781e41c963a3a7f4e8ecb1f773be21f594a95a5bd14f414ce9239ba1
omnimath
\ln 2
0
8
0
a445c88239277c4cc50c25fb2d91102c5ddf6db8ee8b420f9f7670b2abea4c4a
big_math
\frac{1}{3}
8
8
1
bda3fd7168329c71db96852a2ea496adcde3aff5596cd1f95b5f7ff99c5bfc94
olympiads
\frac{9}{10}
8
8
1
581c390a67a7d3075959749728e42d0b00ef48526ea422aff2b762883a2d650c
olympiads
-2a \leq \sqrt{3} b \leq 2a
0
8
0
3e76a6a74c10db41523c7d9f19f2ad43148ab6014a5f85851e05a417de001b5d
omnimath
800
8
8
1
d6fe4cc0cb18b279ed6fb4a37822b9fa9a825c821a55acf3c86842c4d64b96d9
olympiads
3 \text{ km/h}
8
8
1
502aa49ffc1cdca3550cee6fae3b93fb65a6297cf3b8b9309c8b879fc41dac49
olympiads
x + 6y = 0
6
8
1
29f18ae5c6f897ddbbc12cd10dddae7f90db39cf95c8835256a583b41a3b8d5c
olympiads
7
0
8
0
57fa406ae4ddace73f3dc54ff5e40b76559c43712d2c2c5542cfd7fb5d05572a
aops_forum
P(x) = (x - 1995)^n
0
8
0
10cfb1a7cb9982915be8039f36d8d976f4bc3688bce9a0d0acb095d0d430a0ed
big_math
\sqrt{6} - \sqrt{2} + 1
7
8
1
4a9f60c7ae4b1c63553b25ecf9c73416df4164f5f5d78fb89bec9f1013195830
cn_k12
4
4
8
1
3fd981699f080b14ef37d475542f528fe1f7027e4005230b08ef1396e1f4442b
olympiads
2 \text{ km} \text{ closer to Borya}
0
8
0
c22b8011a6309d0f1e1d0bba39ab60c2f04fe8e19da8a9ecee7cab69bc178ade
aops_forum
\left[\frac{21}{5}, \frac{19}{4}\right]
0
8
0
80f15926687346789a60d39d59edc8cda54e74ecd494e100a1c40978edddc62e
aops_forum
30^ullet
0
8
0
39cb249419c7b674e767df061c799f4587eff26aa9792963d8bc9e74b4c8d3f7
big_math
-3
8
8
1
fadfe5f205f6deb3fcea10807607eb8e5f7868013e260e060680ddc7adb93e20
olympiads
51
0
8
0
930c7ff2c4b55b49c3c09323dda5a42ec03a332c8a9738af215b70027a9354a0
harp
$\text{675 dollars}$
5
8
1
e8c4e79bb0ab06506c4534c3187c3c33a6484efef8195a79ad0eb75edb1885ef
olympiads
1212
0
8
0
5cb771a8d549420debcb2e44658f2ae2d62223d5a3d544636b208b9ee4d1c513
omnimath
67
2
8
1
be6fa9e31aa99b7e3293b83b8f3626254a89c30b3a8e5bd097a2466c49d9cf1b
harp
$14$
8
8
1
a4aefa9ebf4f05ed14ede5c1b08d5ae13f2f135fb10cc3fc0cba2dcfe62b5c26
olympiads
10
8
8
1
8355f38d68cf3ea4bb8074a5189fe27ef1612a335b308e453649406d0def2ee2
olympiads
6
8
8
1
d989ea96093da8cba6fe9c9b209f302744c100723e14efb7ec630658b5f3c969
olympiads
x = \operatorname{arcctg} 2 + \pi n, \, n \in \mathbb{Z}, \quad \text{and} \quad x = \pi - \operatorname{arcctg} 2 + \pi k, \, k \in \mathbb{Z}.
0
8
0
f34d18cd7f6af3132ae13ebe60db01328d98a9e4c94e01f3cf40e7e2acb87389
math
34
8
8
1
2fa5e9c172c9ef0483b015f5d5ac1c40735d7debf0f3239eec2ec402cb47a07e
aops_forum
80^
0
8
0
9800fa8a41d7161f51321c736b2956977bdd9e3724a3e5b4bd5ca41d37d83f80
harp
$6$
8
8
1
c1086174a5e0e8c902f0eccd126b10af1dc4396e937a96e6d6f8560468000b0c
cn_k12
\{-3, 0, 3\}
8
8
1
6c627316b2651da3ee3ce58eb6cefd3b5cea49e757afc7ca91ef4b4a7297d1da
cn_k12
80
8
8
1
104d970323c05b35cf1daf443e14b41ff1c7daf0c3c680109facb63aa975b500
olympiads
\frac{5}{4}
8
8
1
ded86412be8a45b4e41fff423b6f7528ca9531fd905dd9f8df1601dd9dd348e6
big_math
59
8
8
1
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