Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 101, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_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/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
qwen3-8B-0627-plateau-6skill-thinking-proposer — generated environments
Environments generated by the SPARE proposer during training run
sh04swu4 (qwen3-8B-0627-plateau-6skill-thinking-proposer), recovered from the spare-viz durable cache.
The run's scratch directory no longer exists; this dataset is the surviving copy.
| Games | 1411 |
| Steps covered | 73 (step 0–149) |
| With recovered skill | 1312 |
| With hint | 0 |
| Actor / proposer model | /scratch/spare-workspace/Qwen3-8B |
| WandB segments | rsic4mcb, sh04swu4 |
Layout
manifest.json authoritative games list
games/gen_<NNNN>/game_<NNNNN>_<NNN>_<slug>.py one environment per file
generation numbers are dense over the training steps actually captured; the true
training step is the step field. Each game exposes the standard SPARE contract
(reset(seed=None), step(action) -> (obs, reward, terminated, truncated, info)).
Loading
Load games through the project loader, not a bare import — it injects the common
stdlib names and the ToolUseBaseEnv / TerminalBaseEnv base classes that generated
games subclass without importing:
from spare.core.envs.synthetic_game_env import make_synthetic_env
env = make_synthetic_env("games/gen_0000/game_00000_000_api_orchestration.py")
obs, info = env.reset(seed=0)
obs, reward, terminated, truncated, info = env.step("...")
Caveats
- Partial step coverage. The viz extractor pulls newest-first with a call budget, so a run's captured steps are a subset of the steps it trained.
- No joined rewards. Weave payloads for these runs predate the reward join; mean_reward/solve_rate are null where reward_joined is false.
skill/difficultyare parsed from the proposer prompt, not from a stored label.
Rendered in the env gallery via SPARE_VIZ_ENV_DATASETS=<rid>=<this dataset>.
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