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The dataset generation failed
Error code: DatasetGenerationError
Exception: ValueError
Message: Expected object or value
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 281, in _generate_tables
examples = [ujson_loads(line) for line in batch.splitlines()]
~~~~~~~~~~~^^^^^^
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: Expected object or value
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.
task_id string | task_dir string | run_id string | domain string | task_name string | world_id string | rubric_count int64 | score float64 | exit_code int64 | grading_status string | duration_sec null | verifier_count int64 | trajectory dict | grades dict | verifiers list | initial_messages list | orchestrator_extra_args dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
task_0097f20dd1744647a5a6e76db215a467 | task_0097f20dd1744647a5a6e76db215a467 | 20260717_174205_250s_c29 | Law | World416_JS_02 | world_9797d81fa71c4dbfb192e89a0f2ac811 | 2 | 0 | 0 | completed | null | 2 | {"messages":[{"role":"system","content":"You are an AI assistant that completes tasks by reasoning a(...TRUNCATED) | {"grading_run_id":"gr_fd233544","grading_run_status":"completed","verifier_results":[{"verifier_id":(...TRUNCATED) | [{"verifier_id":"ver_93ad092eabf942029f46870b21f187b6","verifier_version":1,"world_id":"world_9797d8(...TRUNCATED) | [{"role":"system","content":"You are an AI assistant that completes tasks by reasoning and using too(...TRUNCATED) | {
"temperature": 0,
"max_tokens": 16384
} |
task_00b30f56f39a4a9891d9503443bafb27 | task_00b30f56f39a4a9891d9503443bafb27 | 20260717_174205_250s_c29 | Investment Banking | World219_BW_02 | world_1e4d4288e63f4a08851a3cc441eb3ccb | 5 | 0.2 | 0 | completed | null | 5 | {"messages":[{"role":"system","content":"You are an AI assistant that completes tasks by reasoning a(...TRUNCATED) | {"grading_run_id":"gr_80e66e0d","grading_run_status":"completed","verifier_results":[{"verifier_id":(...TRUNCATED) | [{"verifier_id":"ver_81652421c1434b269ec140a4a3d73334","verifier_version":1,"world_id":"world_1e4d42(...TRUNCATED) | [{"role":"system","content":"You are an AI assistant that completes tasks by reasoning and using too(...TRUNCATED) | {
"temperature": 0,
"max_tokens": 16384
} |
task_00cd552ee51b4254bae8ee3b0add42fa | task_00cd552ee51b4254bae8ee3b0add42fa | 20260717_174205_250s_c29 | Investment Banking | World221_oa_2 | world_f83f49b3776b4b5e870c36091f7e2b0b | 2 | 0 | 0 | completed | null | 2 | {"messages":[{"role":"system","content":"You are an AI assistant that completes tasks by reasoning a(...TRUNCATED) | {"grading_run_id":"gr_2605f1cb","grading_run_status":"completed","verifier_results":[{"verifier_id":(...TRUNCATED) | [{"verifier_id":"ver_b0d13e4044334cb791eb3fb0c36d5d2c","verifier_version":1,"world_id":"world_f83f49(...TRUNCATED) | [{"role":"system","content":"You are an AI assistant that completes tasks by reasoning and using too(...TRUNCATED) | {
"temperature": 0,
"max_tokens": 16384
} |
task_00db129e3bd9497da0acf6470a1d33d2 | task_00db129e3bd9497da0acf6470a1d33d2 | 20260717_174205_250s_c29 | Investment Banking | World228_SM_Task04 | world_7cabc3536d2d45f3aa32634046c85921 | 2 | 0.5 | 0 | completed | null | 2 | {"messages":[{"role":"system","content":"You are an AI assistant that completes tasks by reasoning a(...TRUNCATED) | {"grading_run_id":"gr_66423423","grading_run_status":"completed","verifier_results":[{"verifier_id":(...TRUNCATED) | [{"verifier_id":"ver_bfbb63915264470f974510caeaa9c26a","verifier_version":1,"world_id":"world_7cabc3(...TRUNCATED) | [{"role":"system","content":"You are an AI assistant that completes tasks by reasoning and using too(...TRUNCATED) | {
"temperature": 0,
"max_tokens": 16384
} |
task_01bf3f1cdf6c432f822f91666047e38c | task_01bf3f1cdf6c432f822f91666047e38c | 20260717_174205_250s_c29 | Management Consulting | World126_TK_04 | world_0f65ffc105a74cc79a207cbe7a2aff87 | 2 | 0 | 0 | completed | null | 2 | {"messages":[{"role":"system","content":"You are an AI assistant that completes tasks by reasoning a(...TRUNCATED) | {"grading_run_id":"gr_000f57f4","grading_run_status":"completed","verifier_results":[{"verifier_id":(...TRUNCATED) | [{"verifier_id":"ver_ea3374d8e60844629e5325252ee5f33c","verifier_version":1,"world_id":"world_0f65ff(...TRUNCATED) | [{"role":"system","content":"You are an AI assistant that completes tasks by reasoning and using too(...TRUNCATED) | {
"temperature": 0,
"max_tokens": 16384
} |
task_01ca29fd17b04f43b09cc07d7b1a2ad0 | task_01ca29fd17b04f43b09cc07d7b1a2ad0 | 20260717_174205_250s_c29 | Law | World419_UM_04 | world_4c8dea260e674f37abc700d5ac09fff9 | 1 | 0 | 0 | completed | null | 1 | {"messages":[{"role":"system","content":"You are an AI assistant that completes tasks by reasoning a(...TRUNCATED) | {"grading_run_id":"gr_e3107d09","grading_run_status":"completed","verifier_results":[{"verifier_id":(...TRUNCATED) | [{"verifier_id":"ver_8376d042fce94a2492b8560458d4bac3","verifier_version":1,"world_id":"world_4c8dea(...TRUNCATED) | [{"role":"system","content":"You are an AI assistant that completes tasks by reasoning and using too(...TRUNCATED) | {
"temperature": 0,
"max_tokens": 16384
} |
task_01da0d93b3ad448798d592007d201ef8 | task_01da0d93b3ad448798d592007d201ef8 | 20260717_174205_250s_c29 | Investment Banking | World226_TD_05 | world_802bca9c604244748d866ba9dde7decf | 1 | 0 | 0 | completed | null | 1 | {"messages":[{"role":"system","content":"You are an AI assistant that completes tasks by reasoning a(...TRUNCATED) | {"grading_run_id":"gr_aa94e962","grading_run_status":"completed","verifier_results":[{"verifier_id":(...TRUNCATED) | [{"verifier_id":"ver_d4f362d54183410d86949ccbe0f22273","verifier_version":1,"world_id":"world_802bca(...TRUNCATED) | [{"role":"system","content":"You are an AI assistant that completes tasks by reasoning and using too(...TRUNCATED) | {
"temperature": 0,
"max_tokens": 16384
} |
task_01fef67b5576468d854319d4d8a84988 | task_01fef67b5576468d854319d4d8a84988 | 20260717_174205_250s_c29 | Law | LawWorld417_AS_03 | world_e81842899beb4631b2e07feafb4018dd | 7 | 0.857143 | 0 | completed | null | 7 | {"messages":[{"role":"system","content":"You are an AI assistant that completes tasks by reasoning a(...TRUNCATED) | {"grading_run_id":"gr_bb20d814","grading_run_status":"completed","verifier_results":[{"verifier_id":(...TRUNCATED) | [{"verifier_id":"ver_67d411cb765345348ac62094e4250dea","verifier_version":1,"world_id":"world_e81842(...TRUNCATED) | [{"role":"system","content":"You are an AI assistant that completes tasks by reasoning and using too(...TRUNCATED) | {
"temperature": 0,
"max_tokens": 16384
} |
task_0233800d9daf4459bc464ce2f1f822a8 | task_0233800d9daf4459bc464ce2f1f822a8 | 20260717_174205_250s_c29 | Management Consulting | Word_129_PJ_01 | world_075ef4dff46146a580c8522e2ad29cb3 | 1 | 0 | 0 | error | null | 0 | {"messages":[{"role":"system","content":"You are an AI assistant that completes tasks by reasoning a(...TRUNCATED) | {"grading_run_id":"gr_0c4a2225","grading_run_status":"error","verifier_results":[],"scoring_results"(...TRUNCATED) | [{"verifier_id":"ver_9a300a73b2c941f4b3e1a1b4269d9193","verifier_version":1,"world_id":"world_075ef4(...TRUNCATED) | [{"role":"system","content":"You are an AI assistant that completes tasks by reasoning and using too(...TRUNCATED) | {
"temperature": 0,
"max_tokens": 16384
} |
task_052cc6311cf34bc6bacc4f521ba77460 | task_052cc6311cf34bc6bacc4f521ba77460 | 20260717_174205_250s_c29 | Investment Banking | World244_SK_Task04 | world_43a921f91f0f4d2c85d8bd2774f9e681 | 1 | 0 | 0 | completed | null | 1 | {"messages":[{"role":"system","content":"You are an AI assistant that completes tasks by reasoning a(...TRUNCATED) | {"grading_run_id":"gr_16692ef2","grading_run_status":"completed","verifier_results":[{"verifier_id":(...TRUNCATED) | [{"verifier_id":"ver_b5815a57d19341d5ae2aca539429a592","verifier_version":1,"world_id":"world_43a921(...TRUNCATED) | [{"role":"system","content":"You are an AI assistant that completes tasks by reasoning and using too(...TRUNCATED) | {
"temperature": 0,
"max_tokens": 16384
} |
End of preview.
APEX Agents Evaluation Trajectories
This dataset contains the lightweight trajectory artifacts for one full Archipelago / APEX Agents evaluation run.
Run
- Run id:
20260717_174205_250s_c29 - Benchmark: Mercor Archipelago / APEX Agents
- Agent config:
react_toolbelt_agent - Max steps:
250 - Concurrency:
29 - Model: local
Qwen3.6-27B-SFT-v10-tau-style-v4-ckpt340served by SGLang - Tasks:
480
Score Summary
- Strict Pass@1:
65/480=0.1354 - Partial average:
0.2822 - No-grade counted as zero:
25 - Infra failures:
0
Domain Summary
| Domain | Tasks | Strict Pass | Strict Pass@1 | Partial Avg |
|---|---|---|---|---|
| Investment Banking | 160 | 18 | 0.1125 | 0.1646 |
| Law | 160 | 20 | 0.1250 | 0.3582 |
| Management Consulting | 160 | 27 | 0.1688 | 0.3237 |
Files
data/trajectories.jsonl: one JSON object per task, including task metadata, trajectory, grades, verifiers, initial messages, and run score fields.raw_tasks/<task_id>/: per-task JSON artifacts copied from the evaluator output.logs/: run manifest, task ids, aggregate results JSONL, and runner log.summary.json: machine-readable summary.
Large environment snapshots and filesystem archives were intentionally excluded from this upload because the original evaluator output directory is hundreds of GB. This dataset is meant for trajectory inspection and score analysis, not complete environment replay.
Common API key/token patterns were redacted during staging.
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