The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
model: string
benchmark: string
agent: string
runs: list<item: struct<run: int64, tasks: int64, success: int64, unscored: int64>>
child 0, item: struct<run: int64, tasks: int64, success: int64, unscored: int64>
child 0, run: int64
child 1, tasks: int64
child 2, success: int64
child 3, unscored: int64
total_episodes: int64
total_success: int64
mean_success_rate: double
pass_at_5: double
pass_at_5_tasks: int64
pass_at_5_definition: string
original_attempts_only: bool
baseline_runs: list<item: int64>
child 0, item: int64
additional_runs: list<item: int64>
child 0, item: int64
score_policy: string
trajectory_upload: string
omitted_archives: list<item: string>
child 0, item: string
limitations: list<item: string>
child 0, item: string
baseline: struct<androidlab: struct<local_root: string, dataset: string, commit: string, successes: list<item: (... 9 chars omitted)
child 0, androidlab: struct<local_root: string, dataset: string, commit: string, successes: list<item: int64>>
child 0, local_root: string
child 1, dataset: string
child 2, commit: string
child 3, successes: list<item: int64>
child 0, item: int64
revision: string
original_runs: list<item: int64>
child 0, item: int64
created_at: double
serving: struct<gpus: list<item: int64>, port: int64, tp: int64, dp: int64, seed: int64, utilization: double, (... 86 chars omitted)
child 0, gpus: list<item: int64>
child 0, item: int64
child 1, port: int64
...
, xml_capture_errors: int64, terminal_xml_error_tasks: int64 (... 185 chars omitted)
child 0, run: int64
child 1, affected_tasks: int64
child 2, xml_capture_errors: int64
child 3, terminal_xml_error_tasks: int64
child 4, missing_image_paths: int64
child 5, missing_non_error_xml_paths: int64
child 6, warnings: list<item: struct<task: string, steps: list<item: int64>, terminal_xml_error: bool, original_success (... 8 chars omitted)
child 0, item: struct<task: string, steps: list<item: int64>, terminal_xml_error: bool, original_success: bool>
child 0, task: string
child 1, steps: list<item: int64>
child 0, item: int64
child 2, terminal_xml_error: bool
child 3, original_success: bool
child 2, policy: string
protocol: struct<androidlab: struct<tasks: int64, concurrency: int64, max_steps: int64, request_interval: int6 (... 112 chars omitted)
child 0, androidlab: struct<tasks: int64, concurrency: int64, max_steps: int64, request_interval: int64, temperature: int (... 92 chars omitted)
child 0, tasks: int64
child 1, concurrency: int64
child 2, max_steps: int64
child 3, request_interval: int64
child 4, temperature: int64
child 5, top_p: double
child 6, max_tokens: int64
child 7, request_seed: null
child 8, agent: string
child 9, task_class: string
to
{'model': Value('string'), 'revision': Value('string'), 'agent': Value('string'), 'additional_runs': List(Value('int64')), 'original_runs': List(Value('int64')), 'protocol': {'androidlab': {'tasks': Value('int64'), 'concurrency': Value('int64'), 'max_steps': Value('int64'), 'request_interval': Value('int64'), 'temperature': Value('int64'), 'top_p': Value('float64'), 'max_tokens': Value('int64'), 'request_seed': Value('null'), 'agent': Value('string'), 'task_class': Value('string')}}, 'serving': {'gpus': List(Value('int64')), 'port': Value('int64'), 'tp': Value('int64'), 'dp': Value('int64'), 'seed': Value('int64'), 'utilization': Value('float64'), 'max_model_len': Value('int64'), 'max_num_seqs_per_replica': Value('int64'), 'retain_after_evaluation': Value('bool')}, 'baseline': {'androidlab': {'local_root': Value('string'), 'dataset': Value('string'), 'commit': Value('string'), 'successes': List(Value('int64'))}}, 'limitations': List(Value('string')), 'created_at': Value('float64'), 'historical_capture_warnings': {'scope': Value('string'), 'runs': List({'run': Value('int64'), 'affected_tasks': Value('int64'), 'xml_capture_errors': Value('int64'), 'terminal_xml_error_tasks': Value('int64'), 'missing_image_paths': Value('int64'), 'missing_non_error_xml_paths': Value('int64'), 'warnings': List({'task': Value('string'), 'steps': List(Value('int64')), 'terminal_xml_error': Value('bool'), 'original_success': Value('bool')})}), 'policy': Value('string')}}
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
agent: string
runs: list<item: struct<run: int64, tasks: int64, success: int64, unscored: int64>>
child 0, item: struct<run: int64, tasks: int64, success: int64, unscored: int64>
child 0, run: int64
child 1, tasks: int64
child 2, success: int64
child 3, unscored: int64
total_episodes: int64
total_success: int64
mean_success_rate: double
pass_at_5: double
pass_at_5_tasks: int64
pass_at_5_definition: string
original_attempts_only: bool
baseline_runs: list<item: int64>
child 0, item: int64
additional_runs: list<item: int64>
child 0, item: int64
score_policy: string
trajectory_upload: string
omitted_archives: list<item: string>
child 0, item: string
limitations: list<item: string>
child 0, item: string
baseline: struct<androidlab: struct<local_root: string, dataset: string, commit: string, successes: list<item: (... 9 chars omitted)
child 0, androidlab: struct<local_root: string, dataset: string, commit: string, successes: list<item: int64>>
child 0, local_root: string
child 1, dataset: string
child 2, commit: string
child 3, successes: list<item: int64>
child 0, item: int64
revision: string
original_runs: list<item: int64>
child 0, item: int64
created_at: double
serving: struct<gpus: list<item: int64>, port: int64, tp: int64, dp: int64, seed: int64, utilization: double, (... 86 chars omitted)
child 0, gpus: list<item: int64>
child 0, item: int64
child 1, port: int64
...
, xml_capture_errors: int64, terminal_xml_error_tasks: int64 (... 185 chars omitted)
child 0, run: int64
child 1, affected_tasks: int64
child 2, xml_capture_errors: int64
child 3, terminal_xml_error_tasks: int64
child 4, missing_image_paths: int64
child 5, missing_non_error_xml_paths: int64
child 6, warnings: list<item: struct<task: string, steps: list<item: int64>, terminal_xml_error: bool, original_success (... 8 chars omitted)
child 0, item: struct<task: string, steps: list<item: int64>, terminal_xml_error: bool, original_success: bool>
child 0, task: string
child 1, steps: list<item: int64>
child 0, item: int64
child 2, terminal_xml_error: bool
child 3, original_success: bool
child 2, policy: string
protocol: struct<androidlab: struct<tasks: int64, concurrency: int64, max_steps: int64, request_interval: int6 (... 112 chars omitted)
child 0, androidlab: struct<tasks: int64, concurrency: int64, max_steps: int64, request_interval: int64, temperature: int (... 92 chars omitted)
child 0, tasks: int64
child 1, concurrency: int64
child 2, max_steps: int64
child 3, request_interval: int64
child 4, temperature: int64
child 5, top_p: double
child 6, max_tokens: int64
child 7, request_seed: null
child 8, agent: string
child 9, task_class: string
to
{'model': Value('string'), 'revision': Value('string'), 'agent': Value('string'), 'additional_runs': List(Value('int64')), 'original_runs': List(Value('int64')), 'protocol': {'androidlab': {'tasks': Value('int64'), 'concurrency': Value('int64'), 'max_steps': Value('int64'), 'request_interval': Value('int64'), 'temperature': Value('int64'), 'top_p': Value('float64'), 'max_tokens': Value('int64'), 'request_seed': Value('null'), 'agent': Value('string'), 'task_class': Value('string')}}, 'serving': {'gpus': List(Value('int64')), 'port': Value('int64'), 'tp': Value('int64'), 'dp': Value('int64'), 'seed': Value('int64'), 'utilization': Value('float64'), 'max_model_len': Value('int64'), 'max_num_seqs_per_replica': Value('int64'), 'retain_after_evaluation': Value('bool')}, 'baseline': {'androidlab': {'local_root': Value('string'), 'dataset': Value('string'), 'commit': Value('string'), 'successes': List(Value('int64'))}}, 'limitations': List(Value('string')), 'created_at': Value('float64'), 'historical_capture_warnings': {'scope': Value('string'), 'runs': List({'run': Value('int64'), 'affected_tasks': Value('int64'), 'xml_capture_errors': Value('int64'), 'terminal_xml_error_tasks': Value('int64'), 'missing_image_paths': Value('int64'), 'missing_non_error_xml_paths': Value('int64'), 'warnings': List({'task': Value('string'), 'steps': List(Value('int64')), 'terminal_xml_error': Value('bool'), 'original_success': Value('bool')})}), 'policy': Value('string')}}
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-Instruct β androidlab
Five runs: the original two runs plus three additional runs using the original Qwen3VLAgent agent and benchmark settings.
All-original mean success: 294/690 (42.61%). Pass@5: 73/138 (52.90%).
Pass@5 here counts task templates successful in at least one run. AndroidWorld runs use different seeds and can have different task instances.
| Run | Success | Tasks without a raw score |
|---|---|---|
| 1 | 58/138 | 0 |
| 2 | 57/138 | 0 |
| 3 | 62/138 | 0 |
| 4 | 58/138 | 0 |
| 5 | 59/138 | 0 |
Old scores are preserved; unscored attempts count as non-success. Smoke tests are excluded. Reviewed infrastructure supplements, if any, are stored separately and must not silently replace these original results.
Indexes, protocol, and combined summary: base_append_20261029/five_runs/. Native per-run archives: base_append_20261029/runs/. Original remote files remain available. Archives preserve native bytes; each run summary records the original trajectory root for relocating absolute image/XML paths after extraction.
- Old Lab configs record a mutable image tag but no image digest; new runs pin the currently audited image digest.
- Old HF publication omitted trajectories; retain and publish available local original trajectories without rescoring originals.
- Historical AndroidLab XML collector ERROR markers: run1 20 steps across 10 tasks; run2 14 steps across 10 tasks. This includes 11 episodes with final XML ERROR. No referenced screenshot paths are missing. Original scores and traces are preserved without rescoring; affected episodes are identified in the run indexes.
Remote storage quota prevented uploading these archives: base_append_20261029/runs/run_1_trajectories.tar.gz, base_append_20261029/runs/run_2_trajectories.tar.gz, base_append_20261029/runs/run_3_trajectories.tar.gz, base_append_20261029/runs/run_4_trajectories.tar.gz, base_append_20261029/runs/run_5_trajectories.tar.gz. Local full trajectories are retained.
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