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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type struct<session_id: string, attempt: string, steps: list<item: struct<i: int64, obs: string, action: string, _id: string, _ts: string>>, n_turns: int64, reward: null, success: null, is_hint: bool, hint_text: string> to null
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 2312, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2118, in cast_array_to_feature
casted_array_values = _c(array.values, feature.feature)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2152, in cast_array_to_feature
return array_cast(
array,
...<2 lines>...
allow_decimal_to_str=allow_decimal_to_str,
)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2016, in array_cast
raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
TypeError: Couldn't cast array of type struct<session_id: string, attempt: string, steps: list<item: struct<i: int64, obs: string, action: string, _id: string, _ts: string>>, n_turns: int64, reward: null, success: null, is_hint: bool, hint_text: string> to null
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.
game_id string | name string | game_code string | skill null | difficulty null | win_rate null | mean_reward null | regret null | r_hint null | r_no_hint null | by_actor dict | proposer dict | solver_traj dict | hint_traj list | _actor string | _t float64 | rollout_id null | _obs0_hash string | _attempt_outcomes unknown |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
023aca3c7dabf2ad | ReminderStatus | "\"\"\"SPARE self-play generated game\"\"\"\n\nimport random\nimport json\nfrom typing import Dict, (...TRUNCATED) | null | null | null | null | null | null | null | {"/data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507":{"win_rate":null,"avg_n_steps":20.672794(...TRUNCATED) | {"role":"environment","reference_doc":"Create a MULTI-TURN tool-use environment by subclassing ToolU(...TRUNCATED) | {"/data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507":{"reward":null,"success":null,"steps":[{(...TRUNCATED) | [] | /data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507 | 1,782,939,388.588941 | null | 1ef9880bbe192e68 | {} |
02573312313b9489 | RetailOrderManagementEnv | "import random\nimport json\nfrom typing import Dict, Any, List\n\nclass RetailOrderManagementEnv(To(...TRUNCATED) | null | null | null | null | null | null | null | {
"/data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507": {
"win_rate": null,
"avg_n_steps": 6
}
} | {"role":"environment","reference_doc":"Create a MULTI-TURN tool-use environment by subclassing ToolU(...TRUNCATED) | {"/data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507":{"reward":null,"success":null,"steps":[{(...TRUNCATED) | [] | /data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507 | 1,782,911,891.14597 | null | 7426d8eee0ac0f80 | {} |
0299ded590d6d0d0 | TaskTrackerEnv | "import random\nimport json\nfrom typing import Dict, Any, List, Optional\n\nclass TaskTrackerEnv(To(...TRUNCATED) | null | null | null | null | null | null | null | {
"/data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507": {
"win_rate": null,
"avg_n_steps": 6
}
} | {"role":"environment","reference_doc":"Create a MULTI-TURN tool-use environment by subclassing ToolU(...TRUNCATED) | {"/data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507":{"reward":null,"success":null,"steps":[{(...TRUNCATED) | [] | /data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507 | 1,782,925,428.71255 | null | d96a7695962dd426 | {} |
02d47a5d4f242e14 | RetailOrderManagementEnv | "import random\nimport json\n\nclass RetailOrderManagementEnv(ToolUseBaseEnv):\n def reset(self, (...TRUNCATED) | null | null | null | null | null | null | null | {
"/data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507": {
"win_rate": null,
"avg_n_steps": 0
}
} | {"role":"environment","reference_doc":"Create a MULTI-TURN tool-use environment by subclassing ToolU(...TRUNCATED) | {"/data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507":{"reward":null,"success":null,"steps":[](...TRUNCATED) | [] | /data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507 | 0 | null | null | {} |
0510f971c6b0fd80 | CustomerSupportMTEnv | "import random\nimport json\nfrom typing import Dict, Any, List, Optional, Union\n\nclass CustomerSu(...TRUNCATED) | null | null | null | null | null | null | null | {
"/data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507": {
"win_rate": null,
"avg_n_steps": 25
}
} | {"role":"environment","reference_doc":"Create a MULTI-TURN tool-use environment by subclassing ToolU(...TRUNCATED) | {"/data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507":{"reward":null,"success":null,"steps":[{(...TRUNCATED) | [] | /data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507 | 1,782,935,760.399433 | null | f5a40c04350a6dd2 | {} |
07ec73b44952a309 | RetailOrderEnv | "import random\nimport json\nfrom typing import Dict, Any, List\n\nclass RetailOrderEnv(ToolUseBaseE(...TRUNCATED) | null | null | null | null | null | null | null | {
"/data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507": {
"win_rate": null,
"avg_n_steps": 0
}
} | {"role":"environment","reference_doc":"Create a MULTI-TURN tool-use environment by subclassing ToolU(...TRUNCATED) | {"/data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507":{"reward":null,"success":null,"steps":[](...TRUNCATED) | [] | /data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507 | 0 | null | null | {} |
0855991790faec92 | FlightHotelMTEnv | "import random\nimport json\nfrom typing import Dict, Any, List\n\nclass FlightHotelMTEnv(ToolUseBas(...TRUNCATED) | null | null | null | null | null | null | null | {"/data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507":{"win_rate":null,"avg_n_steps":7.6171875(...TRUNCATED) | {"role":"environment","reference_doc":"Create a MULTI-TURN tool-use environment by subclassing ToolU(...TRUNCATED) | {"/data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507":{"reward":null,"success":null,"steps":[{(...TRUNCATED) | [] | /data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507 | 1,782,905,824.904367 | null | 8cb474b5cbf3af77 | {} |
08abb85ffcba57d1 | FileWorkflowMTEnv | "import random\nimport json\nfrom typing import Dict, List, Any\nfrom enum import Enum\n\nclass File(...TRUNCATED) | null | null | null | null | null | null | null | {
"/data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507": {
"win_rate": null,
"avg_n_steps": 0
}
} | {"role":"environment","reference_doc":"Create a MULTI-TURN tool-use environment by subclassing ToolU(...TRUNCATED) | {"/data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507":{"reward":null,"success":null,"steps":[](...TRUNCATED) | [] | /data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507 | 0 | null | null | {} |
08c3def05558fb9d | RetailOrderManagementEnv | "import random\nimport json\nfrom typing import Dict, Any, Tuple\n\nclass RetailOrderManagementEnv(T(...TRUNCATED) | null | null | null | null | null | null | null | {
"/data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507": {
"win_rate": null,
"avg_n_steps": 0
}
} | {"role":"environment","reference_doc":"Create a MULTI-TURN tool-use environment by subclassing ToolU(...TRUNCATED) | {"/data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507":{"reward":null,"success":null,"steps":[](...TRUNCATED) | [] | /data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507 | 0 | null | null | {} |
08d2c5bd74e3a352 | TelecomAccountEnv | "import random\nimport json\nfrom typing import Dict, Any, List\n\nclass TelecomAccountEnv(ToolUseBa(...TRUNCATED) | null | null | null | null | null | null | null | {
"/data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507": {
"win_rate": null,
"avg_n_steps": 0
}
} | {"role":"environment","reference_doc":"Create a MULTI-TURN tool-use environment by subclassing ToolU(...TRUNCATED) | {"/data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507":{"reward":null,"success":null,"steps":[](...TRUNCATED) | [] | /data/users/simon/spare-workspace/Qwen3-4B-Instruct-2507 | 0 | null | null | {} |
End of preview.
SPARE tool-use "glory" runs — generated environments
All generated environments and visualizer data for the two longest SPARE tool-use self-play training runs (399 training iterations each, June–July 2026):
| Run | Model | Steps | run_id |
|---|---|---|---|
0701_tooluse_glory_kl0 |
Qwen3-4B-Instruct-2507 | iter 399 | 223t1pws |
0705c_glory_r8_premerge_30b |
Qwen3-30B-A3B-Instruct-2507 | iter 399 | 5hvg1dna |
SPARE trains a model in dual roles: as environment proposer (generating
tool-use games as Python ToolUseBaseEnv subclasses) and as actor (playing
them). Skills covered: api_orchestration, data_retrieval,
state_modification, error_recovery, tool_selection,
multi-step_workflows.
Contents
raw_envs/
One tarball per run with the raw generated environment files from training:
spare_games/— accepted envs at the final step (game_<step>_<idx>_<skill>.py)spare_games_cache/step_XXXXX/— per-step snapshots across training, each env with its_hint.txthint file (the 30B run has 115 snapshots up to step 392)spare_games_rejected/— every rejected generation with a paired.reason.txtvalidator explanation
site/
Self-contained payload for the SPARE Run Visualizer (https://spare.dobby-orchestrator.uk), filtered to these two runs:
data.js— setswindow.REPORT_DATA(run index: steps, games, metrics). Drag & drop onto the visualizer, or serve next to itsindex.html.v2/g/<rid>/<game_id>.json— per-game detail files the visualizer fetches on demand: fullgame_code, proposer prompt/response/thinking, and solver trajectories. 4,373 games total (4,023 from the 30B run, 350 from the 4B run).
Provenance
Extracted from training runs at spare_runs/0701_tooluse_glory_kl0/20260701_112938
and spare_runs/0705c_glory_r8_premerge_30b/20260705_074459 (MSR SPARE project).
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