Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
model: string
benchmark: string
harness: string
runs: int64
tasks_per_run: int64
run_success: struct<1: string, 2: string>
child 0, 1: string
child 1, 2: string
mean_success_rate: double
combined: string
pass_at_least_once: int64
time: double
endpoint: string
campaign: string
evaluation: struct<suite_family: string, tasks: int64, workers: int64, seeds: list<item: int64>, repeats: int64, (... 147 chars omitted)
child 0, suite_family: string
child 1, tasks: int64
child 2, workers: int64
child 3, seeds: list<item: int64>
child 0, item: int64
child 4, repeats: int64
child 5, seed_semantics: string
child 6, step_budget: string
child 7, config_name: string
child 8, docker_image: string
child 9, avd: string
child 10, avd_volume: string
child 11, reliability_note: string
protocol_note: string
served_model_name: string
serving: struct<vllm: string, instance: struct<gpus: list<item: int64>, port: int64, tensor_parallel: int64, (... 102 chars omitted)
child 0, vllm: string
child 1, instance: struct<gpus: list<item: int64>, port: int64, tensor_parallel: int64, gpu_memory_utilization: double, (... 70 chars omitted)
child 0, gpus: list<item: int64>
child 0, item: int64
child 1, port: int64
child 2, tensor_parallel: int64
child 3, gpu_memory_utilization: double
child 4, max_model_len: int64
child 5, max_num_seqs: int64
child 6, seed: int64
child 7, note: string
to
{'model': Value('string'), 'served_model_name': Value('string'), 'harness': Value('string'), 'protocol_note': Value('string'), 'serving': {'vllm': Value('string'), 'instance': {'gpus': List(Value('int64')), 'port': Value('int64'), 'tensor_parallel': Value('int64'), 'gpu_memory_utilization': Value('float64'), 'max_model_len': Value('int64'), 'max_num_seqs': Value('int64'), 'seed': Value('int64'), 'note': Value('string')}}, 'evaluation': {'suite_family': Value('string'), 'tasks': Value('int64'), 'workers': Value('int64'), 'seeds': List(Value('int64')), 'repeats': Value('int64'), 'seed_semantics': Value('string'), 'step_budget': Value('string'), 'config_name': Value('string'), 'docker_image': Value('string'), 'avd': Value('string'), 'avd_volume': Value('string'), 'reliability_note': Value('string')}, 'endpoint': Value('string'), 'campaign': Value('string'), 'time': Value('float64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 544, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, 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 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
model: string
benchmark: string
harness: string
runs: int64
tasks_per_run: int64
run_success: struct<1: string, 2: string>
child 0, 1: string
child 1, 2: string
mean_success_rate: double
combined: string
pass_at_least_once: int64
time: double
endpoint: string
campaign: string
evaluation: struct<suite_family: string, tasks: int64, workers: int64, seeds: list<item: int64>, repeats: int64, (... 147 chars omitted)
child 0, suite_family: string
child 1, tasks: int64
child 2, workers: int64
child 3, seeds: list<item: int64>
child 0, item: int64
child 4, repeats: int64
child 5, seed_semantics: string
child 6, step_budget: string
child 7, config_name: string
child 8, docker_image: string
child 9, avd: string
child 10, avd_volume: string
child 11, reliability_note: string
protocol_note: string
served_model_name: string
serving: struct<vllm: string, instance: struct<gpus: list<item: int64>, port: int64, tensor_parallel: int64, (... 102 chars omitted)
child 0, vllm: string
child 1, instance: struct<gpus: list<item: int64>, port: int64, tensor_parallel: int64, gpu_memory_utilization: double, (... 70 chars omitted)
child 0, gpus: list<item: int64>
child 0, item: int64
child 1, port: int64
child 2, tensor_parallel: int64
child 3, gpu_memory_utilization: double
child 4, max_model_len: int64
child 5, max_num_seqs: int64
child 6, seed: int64
child 7, note: string
to
{'model': Value('string'), 'served_model_name': Value('string'), 'harness': Value('string'), 'protocol_note': Value('string'), 'serving': {'vllm': Value('string'), 'instance': {'gpus': List(Value('int64')), 'port': Value('int64'), 'tensor_parallel': Value('int64'), 'gpu_memory_utilization': Value('float64'), 'max_model_len': Value('int64'), 'max_num_seqs': Value('int64'), 'seed': Value('int64'), 'note': Value('string')}}, 'evaluation': {'suite_family': Value('string'), 'tasks': Value('int64'), 'workers': Value('int64'), 'seeds': List(Value('int64')), 'repeats': Value('int64'), 'seed_semantics': Value('string'), 'step_budget': Value('string'), 'config_name': Value('string'), 'docker_image': Value('string'), 'avd': Value('string'), 'avd_volume': Value('string'), 'reliability_note': Value('string')}, 'endpoint': Value('string'), 'campaign': Value('string'), 'time': Value('float64')}
because column names don't matchNeed 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-VL-8B-sft-qwen3.8-27b-no-graph — AndroidWorld (two runs, MBWeave harness)
Two runs (task seeds 1 and 2) of the native MobileWeave (MBWeave) harness with the GUI-Gym/Qwen3-VL-8B-sft-qwen3.8-27b-no-graph checkpoint (Qwen3-VL 8B SFT, teacher qwen3.8-27b, no-graph variant) on AndroidWorld (116 tasks), 4 workers, native stepx2 step budgets. Sampling: temperature 0.0, top_p 1.0, max_tokens 2048, thinking disabled.
| Run | Success |
|---|---|
| 1 (seed 1) | 59/116 |
| 2 (seed 2) | 64/116 |
Mean success rate: 53.02%.
Notes: a mid-run emulator OOM killed one worker; all affected (task, seed) pairs were refilled by reviewed supplement runs (see evaluation_protocol.json reliability_note).
runs/run_N.jsonl— per-task episode rows (success, steps, budget, stop_reason).runs/run_N_summary.json— per-run totals.runs/run_N_trajectories.tar.gz— native per-task trajectories (trajectory.jsonl + screenshots).two_runs/— combined episodes, protocol, summary, package manifest.
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