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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
aggregate_tgc: double
all_failure_task_groups: int64
all_success_task_groups: int64
complete_task_groups: int64
error_rollouts: int64
error_tasks: int64
evaluated_rollouts: int64
evaluated_tasks: int64
mean_passed_test_fraction: double
pending_rollouts: int64
pending_tasks: int64
process_elapsed_seconds: double
process_evaluated_tasks: int64
process_model_input_tokens: int64
process_model_output_tokens: int64
process_model_requests: int64
process_output_tokens_per_second: double
process_recorded_tasks: int64
recorded_rollouts: int64
recorded_task_groups: int64
recorded_tasks: int64
reward_diverse_task_groups: int64
samples_per_task: int64
schema_version: int64
selected_rollouts: int64
selected_task_groups: int64
selected_tasks: int64
split: string
status: string
status_counts: struct<completed: int64, truncated: int64>
child 0, completed: int64
child 1, truncated: int64
successful_rollouts: int64
successful_tasks: int64
total_environment_seconds: double
total_generation_seconds: double
total_model_input_tokens: int64
total_model_output_tokens: int64
total_model_requests: int64
total_prompt_seconds: double
total_turns: int64
updated_at: string
elapsed_seconds: double
reward: double
tgc: double
model_requests: int64
model_output_tokens: int64
error: null
rollout_index: int64
truncation_reason: string
prompt_seconds: double
sample_index: int64
environment_seconds: double
model_input_tokens: int64
passed_test_fraction: double
dataset_index: int64
generation_seconds: double
num_passed: int64
num_total: int64
task_id: string
num_failed: int64
turns: int64
to
{'dataset_index': Value('int64'), 'elapsed_seconds': Value('float64'), 'environment_seconds': Value('float64'), 'error': Value('null'), 'generation_seconds': Value('float64'), 'model_input_tokens': Value('int64'), 'model_output_tokens': Value('int64'), 'model_requests': Value('int64'), 'num_failed': Value('int64'), 'num_passed': Value('int64'), 'num_total': Value('int64'), 'passed_test_fraction': Value('float64'), 'prompt_seconds': Value('float64'), 'reward': Value('float64'), 'rollout_index': Value('int64'), 'sample_index': Value('int64'), 'split': Value('string'), 'status': Value('string'), 'task_id': Value('string'), 'tgc': Value('float64'), 'truncation_reason': Value('string'), 'turns': 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 1827, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
aggregate_tgc: double
all_failure_task_groups: int64
all_success_task_groups: int64
complete_task_groups: int64
error_rollouts: int64
error_tasks: int64
evaluated_rollouts: int64
evaluated_tasks: int64
mean_passed_test_fraction: double
pending_rollouts: int64
pending_tasks: int64
process_elapsed_seconds: double
process_evaluated_tasks: int64
process_model_input_tokens: int64
process_model_output_tokens: int64
process_model_requests: int64
process_output_tokens_per_second: double
process_recorded_tasks: int64
recorded_rollouts: int64
recorded_task_groups: int64
recorded_tasks: int64
reward_diverse_task_groups: int64
samples_per_task: int64
schema_version: int64
selected_rollouts: int64
selected_task_groups: int64
selected_tasks: int64
split: string
status: string
status_counts: struct<completed: int64, truncated: int64>
child 0, completed: int64
child 1, truncated: int64
successful_rollouts: int64
successful_tasks: int64
total_environment_seconds: double
total_generation_seconds: double
total_model_input_tokens: int64
total_model_output_tokens: int64
total_model_requests: int64
total_prompt_seconds: double
total_turns: int64
updated_at: string
elapsed_seconds: double
reward: double
tgc: double
model_requests: int64
model_output_tokens: int64
error: null
rollout_index: int64
truncation_reason: string
prompt_seconds: double
sample_index: int64
environment_seconds: double
model_input_tokens: int64
passed_test_fraction: double
dataset_index: int64
generation_seconds: double
num_passed: int64
num_total: int64
task_id: string
num_failed: int64
turns: int64
to
{'dataset_index': Value('int64'), 'elapsed_seconds': Value('float64'), 'environment_seconds': Value('float64'), 'error': Value('null'), 'generation_seconds': Value('float64'), 'model_input_tokens': Value('int64'), 'model_output_tokens': Value('int64'), 'model_requests': Value('int64'), 'num_failed': Value('int64'), 'num_passed': Value('int64'), 'num_total': Value('int64'), 'passed_test_fraction': Value('float64'), 'prompt_seconds': Value('float64'), 'reward': Value('float64'), 'rollout_index': Value('int64'), 'sample_index': Value('int64'), 'split': Value('string'), 'status': Value('string'), 'task_id': Value('string'), 'tgc': Value('float64'), 'truncation_reason': Value('string'), 'turns': 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 1694, 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 1880, 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.
dataset_index int64 | elapsed_seconds float64 | environment_seconds float64 | error null | generation_seconds float64 | model_input_tokens int64 | model_output_tokens int64 | model_requests int64 | num_failed int64 | num_passed int64 | num_total int64 | passed_test_fraction float64 | prompt_seconds float64 | reward float64 | rollout_index int64 | sample_index int64 | split string | status string | task_id string | tgc float64 | truncation_reason string | turns int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
12 | 147.426 | 81.397 | null | 60.178 | 35,323 | 398 | 8 | 0 | 2 | 2 | 1 | 5.826 | 1 | 12 | 0 | test_normal | completed | 21abae1_1 | 1 | null | 8 |
13 | 199.63 | 148.057 | null | 51.254 | 30,369 | 391 | 7 | 0 | 2 | 2 | 1 | 0.266 | 1 | 13 | 0 | test_normal | completed | 21abae1_2 | 1 | null | 7 |
9 | 205.723 | 128.766 | null | 76.552 | 41,005 | 560 | 10 | 0 | 4 | 4 | 1 | 0.364 | 1 | 9 | 0 | test_normal | completed | 29a7b7e_1 | 1 | null | 10 |
14 | 205.84 | 118.861 | null | 86.397 | 43,909 | 569 | 10 | 1 | 1 | 2 | 0.5 | 0.551 | 0 | 14 | 0 | test_normal | completed | 21abae1_3 | 0 | null | 10 |
11 | 267.175 | 195.81 | null | 70.804 | 59,092 | 659 | 14 | 0 | 4 | 4 | 1 | 0.461 | 1 | 11 | 0 | test_normal | completed | 29a7b7e_3 | 1 | null | 14 |
10 | 318.748 | 198.185 | null | 119.654 | 64,258 | 650 | 15 | 0 | 4 | 4 | 1 | 0.755 | 1 | 10 | 0 | test_normal | completed | 29a7b7e_2 | 1 | null | 15 |
6 | 337.003 | 173.281 | null | 147.935 | 75,901 | 930 | 18 | 0 | 5 | 5 | 1 | 15.725 | 1 | 6 | 0 | test_normal | completed | 325d6ec_1 | 1 | null | 18 |
18 | 181.933 | 119.129 | null | 55.736 | 33,239 | 454 | 7 | 0 | 6 | 6 | 1 | 7.044 | 1 | 18 | 0 | test_normal | completed | 8749218_1 | 1 | null | 7 |
1 | 393.381 | 231.024 | null | 158.959 | 87,558 | 1,511 | 19 | 5 | 0 | 5 | 0 | 3.24 | 0 | 1 | 0 | test_normal | truncated | 3d9a636_2 | 0 | context_limit | 19 |
8 | 436.241 | 232.365 | null | 196.547 | 105,474 | 1,075 | 24 | 0 | 5 | 5 | 1 | 7.17 | 1 | 8 | 0 | test_normal | completed | 325d6ec_3 | 1 | null | 24 |
7 | 465.562 | 226.114 | null | 232.086 | 115,655 | 1,358 | 28 | 0 | 5 | 5 | 1 | 5.294 | 1 | 7 | 0 | test_normal | completed | 325d6ec_2 | 1 | null | 28 |
25 | 193.484 | 122.984 | null | 69.54 | 29,455 | 288 | 8 | 7 | 1 | 8 | 0.125 | 0.914 | 0 | 25 | 0 | test_normal | truncated | 6f4b9a5_2 | 0 | context_limit | 8 |
22 | 306.714 | 241.127 | null | 63.906 | 57,072 | 467 | 13 | 9 | 1 | 10 | 0.1 | 1.513 | 0 | 22 | 0 | test_normal | truncated | 2d9f728_2 | 0 | context_limit | 13 |
2 | 652.102 | 370.058 | null | 277.435 | 153,998 | 1,862 | 34 | 3 | 2 | 5 | 0.4 | 4.288 | 0 | 2 | 0 | test_normal | completed | 3d9a636_3 | 0 | null | 34 |
0 | 864.592 | 543.997 | null | 299.195 | 222,020 | 1,814 | 50 | 5 | 0 | 5 | 0 | 11.294 | 0 | 0 | 0 | test_normal | truncated | 3d9a636_1 | 0 | max_turns | 50 |
3 | 900.008 | 498.897 | null | 373.962 | 214,419 | 1,441 | 50 | 5 | 0 | 5 | 0 | 19.77 | 0 | 3 | 0 | test_normal | truncated | fd1f8fa_1 | 0 | max_turns | 50 |
15 | 913.641 | 507.52 | null | 399.66 | 208,337 | 1,749 | 50 | 7 | 0 | 7 | 0 | 6.012 | 0 | 15 | 0 | test_normal | truncated | 634f342_1 | 0 | max_turns | 50 |
4 | 932.071 | 474.059 | null | 425.043 | 222,688 | 1,419 | 50 | 5 | 0 | 5 | 0 | 32.624 | 0 | 4 | 0 | test_normal | truncated | fd1f8fa_2 | 0 | max_turns | 50 |
5 | 1,019.479 | 510.311 | null | 463.195 | 218,873 | 1,445 | 50 | 5 | 0 | 5 | 0 | 35.888 | 0 | 5 | 0 | test_normal | truncated | fd1f8fa_3 | 0 | max_turns | 50 |
29 | 368.115 | 198.058 | null | 168.583 | 60,213 | 733 | 16 | 0 | 9 | 9 | 1 | 1.429 | 1 | 29 | 0 | test_normal | completed | d6ac34d_3 | 1 | null | 16 |
28 | 389.846 | 193.879 | null | 191.743 | 71,114 | 822 | 19 | 0 | 9 | 9 | 1 | 3.085 | 1 | 28 | 0 | test_normal | completed | d6ac34d_2 | 1 | null | 19 |
19 | 890.984 | 448.843 | null | 420.514 | 198,589 | 1,402 | 50 | 5 | 1 | 6 | 0.166667 | 21.506 | 0 | 19 | 0 | test_normal | truncated | 8749218_2 | 0 | max_turns | 50 |
16 | 995.818 | 616.407 | null | 368.793 | 206,985 | 1,734 | 50 | 7 | 0 | 7 | 0 | 10.286 | 0 | 16 | 0 | test_normal | truncated | 634f342_2 | 0 | max_turns | 50 |
27 | 535.11 | 276.85 | null | 253.711 | 90,802 | 2,039 | 22 | 8 | 1 | 9 | 0.111111 | 2.985 | 0 | 27 | 0 | test_normal | truncated | d6ac34d_1 | 0 | context_limit | 19 |
21 | 847.015 | 427.81 | null | 410.762 | 194,754 | 1,631 | 42 | 9 | 1 | 10 | 0.1 | 5.049 | 0 | 21 | 0 | test_normal | truncated | 2d9f728_1 | 0 | context_limit | 42 |
17 | 966.241 | 522.971 | null | 435.976 | 223,215 | 2,103 | 52 | 7 | 0 | 7 | 0 | 6.715 | 0 | 17 | 0 | test_normal | truncated | 634f342_3 | 0 | max_turns | 50 |
30 | 383.259 | 300.568 | null | 81.66 | 57,158 | 897 | 12 | 0 | 6 | 6 | 1 | 0.924 | 1 | 30 | 0 | test_normal | completed | 0d01c76_1 | 1 | null | 12 |
36 | 205.967 | 126.49 | null | 78.321 | 29,337 | 301 | 7 | 6 | 1 | 7 | 0.142857 | 1.112 | 0 | 36 | 0 | test_normal | truncated | d18139b_1 | 0 | context_limit | 7 |
23 | 891.79 | 435.666 | null | 437.402 | 212,142 | 2,484 | 46 | 9 | 1 | 10 | 0.1 | 6.896 | 0 | 23 | 0 | test_normal | truncated | 2d9f728_3 | 0 | context_limit | 42 |
37 | 199.2 | 137.013 | null | 33.272 | 29,108 | 300 | 7 | 6 | 1 | 7 | 0.142857 | 28.763 | 0 | 37 | 0 | test_normal | truncated | d18139b_2 | 0 | context_limit | 7 |
20 | 1,048.025 | 644.556 | null | 384.866 | 202,205 | 1,449 | 50 | 5 | 1 | 6 | 0.166667 | 17.76 | 0 | 20 | 0 | test_normal | truncated | 8749218_3 | 0 | max_turns | 50 |
31 | 427.497 | 193.738 | null | 232.237 | 93,631 | 944 | 22 | 0 | 6 | 6 | 1 | 1.218 | 1 | 31 | 0 | test_normal | completed | 0d01c76_2 | 1 | null | 22 |
24 | 943.314 | 531.708 | null | 389.339 | 204,413 | 1,902 | 50 | 7 | 1 | 8 | 0.125 | 21.469 | 0 | 24 | 0 | test_normal | truncated | 6f4b9a5_1 | 0 | max_turns | 50 |
26 | 963.674 | 451.637 | null | 454.096 | 211,029 | 1,907 | 52 | 7 | 1 | 8 | 0.125 | 57.766 | 0 | 26 | 0 | test_normal | truncated | 6f4b9a5_3 | 0 | max_turns | 50 |
40 | 295.567 | 165.46 | null | 129.636 | 35,225 | 378 | 9 | 0 | 3 | 3 | 1 | 0.361 | 1 | 40 | 0 | test_normal | completed | 5a83b05_2 | 1 | null | 9 |
47 | 158.8 | 88.992 | null | 68.61 | 26,024 | 396 | 7 | 0 | 2 | 2 | 1 | 1.09 | 1 | 47 | 0 | test_normal | completed | cef9191_3 | 1 | null | 7 |
41 | 324.631 | 204.033 | null | 119.371 | 48,013 | 531 | 12 | 0 | 3 | 3 | 1 | 0.4 | 1 | 41 | 0 | test_normal | completed | 5a83b05_3 | 1 | null | 12 |
39 | 358.005 | 193.153 | null | 164.145 | 54,828 | 511 | 13 | 0 | 3 | 3 | 1 | 0.629 | 1 | 39 | 0 | test_normal | completed | 5a83b05_1 | 1 | null | 13 |
38 | 396.089 | 196.832 | null | 196.771 | 88,784 | 785 | 20 | 6 | 1 | 7 | 0.142857 | 2.393 | 0 | 38 | 0 | test_normal | truncated | d18139b_3 | 0 | context_limit | 20 |
46 | 224.617 | 171.535 | null | 51.089 | 29,583 | 451 | 8 | 0 | 2 | 2 | 1 | 1.89 | 1 | 46 | 0 | test_normal | completed | cef9191_2 | 1 | null | 8 |
44 | 272.443 | 203.501 | null | 63.206 | 49,477 | 432 | 12 | 5 | 0 | 5 | 0 | 5.597 | 0 | 44 | 0 | test_normal | truncated | 042a9fc_3 | 0 | context_limit | 12 |
45 | 322.762 | 187.302 | null | 127.176 | 47,336 | 563 | 12 | 0 | 2 | 2 | 1 | 1.646 | 1 | 45 | 0 | test_normal | completed | cef9191_1 | 1 | null | 12 |
32 | 710.849 | 323.04 | null | 386.08 | 161,213 | 1,508 | 36 | 0 | 6 | 6 | 1 | 1.498 | 1 | 32 | 0 | test_normal | completed | 0d01c76_3 | 1 | null | 36 |
49 | 213.498 | 172.612 | null | 39.32 | 29,531 | 304 | 8 | 5 | 2 | 7 | 0.285714 | 1.498 | 0 | 49 | 0 | test_normal | truncated | 3b8fb7a_2 | 0 | context_limit | 8 |
42 | 497.396 | 289.016 | null | 189.351 | 94,321 | 849 | 22 | 5 | 0 | 5 | 0 | 18.376 | 0 | 42 | 0 | test_normal | truncated | 042a9fc_1 | 0 | context_limit | 22 |
56 | 191.711 | 139.085 | null | 51.746 | 29,695 | 298 | 7 | 9 | 0 | 9 | 0 | 0.7 | 0 | 56 | 0 | test_normal | truncated | 9dabbc9_3 | 0 | context_limit | 7 |
55 | 230.26 | 176.1 | null | 53.015 | 33,880 | 313 | 8 | 9 | 0 | 9 | 0 | 0.901 | 0 | 55 | 0 | test_normal | truncated | 9dabbc9_2 | 0 | context_limit | 8 |
58 | 184.034 | 115.409 | null | 68.118 | 27,843 | 566 | 8 | 1 | 1 | 2 | 0.5 | 0.487 | 0 | 58 | 0 | test_normal | completed | 425a494_2 | 0 | null | 8 |
51 | 318.313 | 235.424 | null | 81.635 | 50,342 | 533 | 13 | 0 | 2 | 2 | 1 | 1.22 | 1 | 51 | 0 | test_normal | completed | afc4005_1 | 1 | null | 13 |
59 | 168.907 | 99.367 | null | 68.186 | 31,785 | 563 | 8 | 0 | 2 | 2 | 1 | 1.245 | 1 | 59 | 0 | test_normal | completed | 425a494_3 | 1 | null | 8 |
52 | 325.048 | 213.963 | null | 109.975 | 46,775 | 543 | 12 | 0 | 2 | 2 | 1 | 1.04 | 1 | 52 | 0 | test_normal | completed | afc4005_2 | 1 | null | 12 |
54 | 277.198 | 185.782 | null | 90.493 | 34,221 | 314 | 8 | 9 | 0 | 9 | 0 | 0.891 | 0 | 54 | 0 | test_normal | truncated | 9dabbc9_1 | 0 | context_limit | 8 |
50 | 399.638 | 267.138 | null | 114.916 | 65,590 | 885 | 16 | 5 | 2 | 7 | 0.285714 | 17.442 | 0 | 50 | 0 | test_normal | truncated | 3b8fb7a_3 | 0 | context_limit | 16 |
61 | 131.832 | 96.282 | null | 34.527 | 21,175 | 275 | 6 | 2 | 1 | 3 | 0.333333 | 1.005 | 0 | 61 | 0 | test_normal | truncated | a30375d_2 | 0 | context_limit | 6 |
33 | 976.363 | 567.868 | null | 398.765 | 213,329 | 1,891 | 50 | 5 | 1 | 6 | 0.166667 | 8.266 | 0 | 33 | 0 | test_normal | truncated | ff58e36_1 | 0 | max_turns | 50 |
34 | 914.733 | 519.919 | null | 375.273 | 214,464 | 1,901 | 50 | 5 | 1 | 6 | 0.166667 | 14.573 | 0 | 34 | 0 | test_normal | truncated | ff58e36_2 | 0 | max_turns | 50 |
62 | 162.271 | 102.055 | null | 59.316 | 43,348 | 450 | 11 | 0 | 3 | 3 | 1 | 0.82 | 1 | 62 | 0 | test_normal | completed | a30375d_3 | 1 | null | 11 |
67 | 122.08 | 98.47 | null | 22.642 | 36,129 | 363 | 10 | 5 | 1 | 6 | 0.166667 | 0.871 | 0 | 67 | 0 | test_normal | truncated | d194965_2 | 0 | context_limit | 10 |
68 | 83.658 | 56.464 | null | 25.287 | 36,148 | 361 | 10 | 5 | 1 | 6 | 0.166667 | 1.834 | 0 | 68 | 0 | test_normal | truncated | d194965_3 | 0 | context_limit | 10 |
35 | 926.928 | 573.047 | null | 347.917 | 208,310 | 1,992 | 50 | 5 | 1 | 6 | 0.166667 | 5.848 | 0 | 35 | 0 | test_normal | truncated | ff58e36_3 | 0 | max_turns | 50 |
70 | 57.127 | 34.713 | null | 22.062 | 24,416 | 288 | 7 | 1 | 1 | 2 | 0.5 | 0.318 | 0 | 70 | 0 | test_normal | truncated | 7847649_2 | 0 | context_limit | 7 |
53 | 460.208 | 293.958 | null | 160.456 | 114,879 | 1,085 | 29 | 0 | 2 | 2 | 1 | 5.594 | 1 | 53 | 0 | test_normal | completed | afc4005_3 | 1 | null | 29 |
43 | 752.837 | 409.596 | null | 335.68 | 216,859 | 2,350 | 50 | 5 | 0 | 5 | 0 | 7.4 | 0 | 43 | 0 | test_normal | truncated | 042a9fc_2 | 0 | max_turns | 50 |
69 | 118.695 | 77.704 | null | 39.984 | 50,919 | 503 | 13 | 0 | 2 | 2 | 1 | 0.922 | 1 | 69 | 0 | test_normal | completed | 7847649_1 | 1 | null | 13 |
74 | 58.247 | 34.47 | null | 22.12 | 30,334 | 344 | 7 | 1 | 1 | 2 | 0.5 | 1.64 | 0 | 74 | 0 | test_normal | truncated | 552869a_3 | 0 | context_limit | 7 |
72 | 68.794 | 38.18 | null | 30.16 | 35,636 | 404 | 8 | 0 | 2 | 2 | 1 | 0.397 | 1 | 72 | 0 | test_normal | completed | 552869a_1 | 1 | null | 8 |
73 | 69.177 | 38.842 | null | 29.165 | 30,286 | 344 | 7 | 1 | 1 | 2 | 0.5 | 1.121 | 0 | 73 | 0 | test_normal | truncated | 552869a_2 | 0 | context_limit | 7 |
71 | 87.929 | 49.129 | null | 37.992 | 38,051 | 369 | 10 | 0 | 2 | 2 | 1 | 0.779 | 1 | 71 | 0 | test_normal | completed | 7847649_3 | 1 | null | 10 |
48 | 705.864 | 370.287 | null | 319.411 | 212,367 | 2,120 | 50 | 5 | 2 | 7 | 0.285714 | 15.795 | 0 | 48 | 0 | test_normal | truncated | 3b8fb7a_1 | 0 | max_turns | 50 |
78 | 59.973 | 34.919 | null | 24.212 | 39,975 | 536 | 9 | 9 | 2 | 11 | 0.181818 | 0.797 | 0 | 78 | 0 | test_normal | truncated | ccf4b82_1 | 0 | context_limit | 9 |
65 | 245.414 | 150.709 | null | 89.139 | 120,494 | 1,651 | 30 | 0 | 2 | 2 | 1 | 5.321 | 1 | 65 | 0 | test_normal | completed | 09b0ee6_3 | 1 | null | 30 |
60 | 332.074 | 161.64 | null | 163.733 | 159,497 | 1,963 | 40 | 0 | 3 | 3 | 1 | 6.329 | 1 | 60 | 0 | test_normal | completed | a30375d_1 | 1 | null | 38 |
79 | 77.179 | 53.455 | null | 23.296 | 34,059 | 332 | 8 | 9 | 2 | 11 | 0.181818 | 0.36 | 0 | 79 | 0 | test_normal | truncated | ccf4b82_2 | 0 | context_limit | 8 |
76 | 106.473 | 37.692 | null | 65.434 | 79,887 | 855 | 19 | 7 | 4 | 11 | 0.363636 | 3.233 | 0 | 76 | 0 | test_normal | truncated | 652485c_2 | 0 | context_limit | 19 |
64 | 291.627 | 162.267 | null | 123.042 | 134,010 | 2,052 | 35 | 0 | 2 | 2 | 1 | 6.11 | 1 | 64 | 0 | test_normal | completed | 09b0ee6_2 | 1 | null | 35 |
81 | 98.543 | 55.048 | null | 42.779 | 65,479 | 706 | 14 | 0 | 4 | 4 | 1 | 0.595 | 1 | 81 | 0 | test_normal | completed | 522e5e5_1 | 1 | null | 14 |
80 | 103.662 | 55.941 | null | 45.458 | 61,607 | 710 | 14 | 9 | 2 | 11 | 0.181818 | 2.149 | 0 | 80 | 0 | test_normal | truncated | ccf4b82_3 | 0 | context_limit | 14 |
88 | 39.577 | 22.33 | null | 16.308 | 29,990 | 345 | 7 | 5 | 1 | 6 | 0.166667 | 0.919 | 0 | 88 | 0 | test_normal | truncated | 2c544f9_2 | 0 | context_limit | 7 |
57 | 490.874 | 255.385 | null | 206.549 | 200,751 | 1,428 | 50 | 1 | 1 | 2 | 0.5 | 28.106 | 0 | 57 | 0 | test_normal | truncated | 425a494_1 | 0 | max_turns | 50 |
83 | 107.161 | 53.413 | null | 52.368 | 77,563 | 695 | 17 | 0 | 4 | 4 | 1 | 1.331 | 1 | 83 | 0 | test_normal | completed | 522e5e5_3 | 1 | null | 17 |
87 | 58.678 | 25.912 | null | 31.759 | 29,083 | 286 | 7 | 5 | 1 | 6 | 0.166667 | 0.982 | 0 | 87 | 0 | test_normal | truncated | 2c544f9_1 | 0 | context_limit | 7 |
89 | 63.45 | 43.986 | null | 18.646 | 29,057 | 294 | 7 | 5 | 1 | 6 | 0.166667 | 0.773 | 0 | 89 | 0 | test_normal | truncated | 2c544f9_3 | 0 | context_limit | 7 |
82 | 141.715 | 51.294 | null | 86.671 | 132,278 | 1,448 | 28 | 0 | 4 | 4 | 1 | 3.619 | 1 | 82 | 0 | test_normal | completed | 522e5e5_2 | 1 | null | 28 |
96 | 45.126 | 29.132 | null | 15.508 | 25,756 | 339 | 6 | 6 | 0 | 6 | 0 | 0.436 | 0 | 96 | 0 | test_normal | truncated | 9ef798c_1 | 0 | context_limit | 6 |
97 | 41.66 | 18.581 | null | 22.102 | 29,196 | 300 | 7 | 6 | 0 | 6 | 0 | 0.905 | 0 | 97 | 0 | test_normal | truncated | 9ef798c_2 | 0 | context_limit | 7 |
63 | 369.432 | 151.877 | null | 207.421 | 200,556 | 2,705 | 50 | 1 | 1 | 2 | 0.5 | 9.711 | 0 | 63 | 0 | test_normal | truncated | 09b0ee6_1 | 0 | max_turns | 50 |
66 | 372.263 | 197.54 | null | 164.753 | 220,542 | 2,734 | 53 | 5 | 1 | 6 | 0.166667 | 9.132 | 0 | 66 | 0 | test_normal | truncated | d194965_1 | 0 | max_turns | 50 |
84 | 169.301 | 66.454 | null | 99.544 | 107,977 | 2,652 | 26 | 3 | 2 | 5 | 0.4 | 2.968 | 0 | 84 | 0 | test_normal | completed | 0de03ea_1 | 0 | null | 23 |
98 | 70.892 | 44.718 | null | 25.231 | 33,949 | 314 | 8 | 6 | 0 | 6 | 0 | 0.921 | 0 | 98 | 0 | test_normal | truncated | 9ef798c_3 | 0 | context_limit | 8 |
102 | 38.924 | 21.842 | null | 16.16 | 29,668 | 375 | 7 | 6 | 1 | 7 | 0.142857 | 0.88 | 0 | 102 | 0 | test_normal | truncated | 90adc3f_1 | 0 | context_limit | 7 |
77 | 255.431 | 101.571 | null | 145.638 | 207,324 | 1,850 | 49 | 5 | 6 | 11 | 0.545455 | 7.807 | 0 | 77 | 0 | test_normal | truncated | 652485c_3 | 0 | context_limit | 49 |
94 | 134.269 | 43.812 | null | 88.581 | 124,159 | 2,732 | 26 | 7 | 0 | 7 | 0 | 1.274 | 0 | 94 | 0 | test_normal | truncated | 024c982_2 | 0 | context_limit | 16 |
93 | 136.628 | 76.829 | null | 57.857 | 98,780 | 866 | 22 | 0 | 7 | 7 | 1 | 1.878 | 1 | 93 | 0 | test_normal | completed | 024c982_1 | 1 | null | 22 |
75 | 301.167 | 142.574 | null | 150.848 | 216,160 | 2,087 | 50 | 7 | 4 | 11 | 0.363636 | 7.613 | 0 | 75 | 0 | test_normal | truncated | 652485c_1 | 0 | max_turns | 50 |
103 | 59.523 | 40.932 | null | 17.844 | 29,710 | 296 | 7 | 6 | 1 | 7 | 0.142857 | 0.726 | 0 | 103 | 0 | test_normal | truncated | 90adc3f_2 | 0 | context_limit | 7 |
108 | 56.784 | 34.425 | null | 21.781 | 29,974 | 334 | 8 | 9 | 0 | 9 | 0 | 0.548 | 0 | 108 | 0 | test_normal | truncated | f323bae_1 | 0 | context_limit | 8 |
104 | 86.282 | 66.829 | null | 18.728 | 29,731 | 328 | 7 | 6 | 1 | 7 | 0.142857 | 0.688 | 0 | 104 | 0 | test_normal | truncated | 90adc3f_3 | 0 | context_limit | 7 |
110 | 37.618 | 15.892 | null | 21.151 | 25,034 | 308 | 7 | 9 | 0 | 9 | 0 | 0.56 | 0 | 110 | 0 | test_normal | truncated | f323bae_3 | 0 | context_limit | 7 |
86 | 254.179 | 125.741 | null | 119.616 | 174,308 | 2,083 | 42 | 0 | 5 | 5 | 1 | 8.261 | 1 | 86 | 0 | test_normal | completed | 0de03ea_3 | 1 | null | 40 |
85 | 267.497 | 115.84 | null | 137.544 | 214,986 | 1,390 | 50 | 3 | 2 | 5 | 0.4 | 13.98 | 0 | 85 | 0 | test_normal | truncated | 0de03ea_2 | 0 | max_turns | 50 |
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