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
successful_microactions: list<item: struct<micro_action_id: string, task_type: string, goal_variant_count: int64>>
child 0, item: struct<micro_action_id: string, task_type: string, goal_variant_count: int64>
child 0, micro_action_id: string
child 1, task_type: string
child 2, goal_variant_count: int64
failed_microactions: list<item: null>
child 0, item: null
successful_micro_action_ids: list<item: string>
child 0, item: string
failed_micro_action_ids: list<item: null>
child 0, item: null
requested_micro_action_ids: list<item: string>
child 0, item: string
batches: list<item: struct<batch_index: int64, micro_action_ids: list<item: string>, status: string, outputs: (... 377 chars omitted)
child 0, item: struct<batch_index: int64, micro_action_ids: list<item: string>, status: string, outputs: list<item: (... 365 chars omitted)
child 0, batch_index: int64
child 1, micro_action_ids: list<item: string>
child 0, item: string
child 2, status: string
child 3, outputs: list<item: string>
child 0, item: string
child 4, raw_response_path: string
child 5, usage: struct<num_tokens: int64, cost: double, cost_source: string, prompt_tokens: int64, completion_tokens (... 26 chars omitted)
child 0, num_tokens: int64
child 1, cost: double
child 2, cost_source: string
child 3, prompt_tokens: int64
child 4, completion_tokens: int64
child 5, api_calls: in
...
ext: double, render_prompt: double, build_messages: double, (... 50 chars omitted)
child 0, resolve_paths: double
child 1, build_context: double
child 2, render_prompt: double
child 3, build_messages: double
child 4, api_call: double
child 5, validate: double
child 6, total: double
child 7, elapsed_seconds: double
status: string
timings_seconds: struct<total: double>
child 0, total: double
usage: struct<num_tokens: int64, cost: double, cost_source: string, prompt_tokens: int64, completion_tokens (... 26 chars omitted)
child 0, num_tokens: int64
child 1, cost: double
child 2, cost_source: string
child 3, prompt_tokens: int64
child 4, completion_tokens: int64
child 5, api_calls: int64
api_calls: int64
macro_state_id: string
model: string
generation_run: string
batch_size: int64
prompt_kind: string
prompt_profile: string
source_task_generation_run: string
goal_variant_count: int64
variant_index: int64
goal: string
task_index: int64
id: string
source_task: struct<instruction: string, expected_outcome: string, preconditions: struct<description: string, ext (... 23 chars omitted)
child 0, instruction: string
child 1, expected_outcome: string
child 2, preconditions: struct<description: string, extras: list<item: null>>
child 0, description: string
child 1, extras: list<item: null>
child 0, item: null
task_type: string
micro_action_id: string
expected_outcome: string
to
{'id': Value('string'), 'variant_index': Value('int64'), 'task_index': Value('int64'), 'micro_action_id': Value('string'), 'task_type': Value('string'), 'goal': Value('string'), 'expected_outcome': Value('string'), 'generation_run': Value('string'), 'source_task': {'instruction': Value('string'), 'expected_outcome': Value('string'), 'preconditions': {'description': Value('string'), 'extras': List(Value('null'))}}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
successful_microactions: list<item: struct<micro_action_id: string, task_type: string, goal_variant_count: int64>>
child 0, item: struct<micro_action_id: string, task_type: string, goal_variant_count: int64>
child 0, micro_action_id: string
child 1, task_type: string
child 2, goal_variant_count: int64
failed_microactions: list<item: null>
child 0, item: null
successful_micro_action_ids: list<item: string>
child 0, item: string
failed_micro_action_ids: list<item: null>
child 0, item: null
requested_micro_action_ids: list<item: string>
child 0, item: string
batches: list<item: struct<batch_index: int64, micro_action_ids: list<item: string>, status: string, outputs: (... 377 chars omitted)
child 0, item: struct<batch_index: int64, micro_action_ids: list<item: string>, status: string, outputs: list<item: (... 365 chars omitted)
child 0, batch_index: int64
child 1, micro_action_ids: list<item: string>
child 0, item: string
child 2, status: string
child 3, outputs: list<item: string>
child 0, item: string
child 4, raw_response_path: string
child 5, usage: struct<num_tokens: int64, cost: double, cost_source: string, prompt_tokens: int64, completion_tokens (... 26 chars omitted)
child 0, num_tokens: int64
child 1, cost: double
child 2, cost_source: string
child 3, prompt_tokens: int64
child 4, completion_tokens: int64
child 5, api_calls: in
...
ext: double, render_prompt: double, build_messages: double, (... 50 chars omitted)
child 0, resolve_paths: double
child 1, build_context: double
child 2, render_prompt: double
child 3, build_messages: double
child 4, api_call: double
child 5, validate: double
child 6, total: double
child 7, elapsed_seconds: double
status: string
timings_seconds: struct<total: double>
child 0, total: double
usage: struct<num_tokens: int64, cost: double, cost_source: string, prompt_tokens: int64, completion_tokens (... 26 chars omitted)
child 0, num_tokens: int64
child 1, cost: double
child 2, cost_source: string
child 3, prompt_tokens: int64
child 4, completion_tokens: int64
child 5, api_calls: int64
api_calls: int64
macro_state_id: string
model: string
generation_run: string
batch_size: int64
prompt_kind: string
prompt_profile: string
source_task_generation_run: string
goal_variant_count: int64
variant_index: int64
goal: string
task_index: int64
id: string
source_task: struct<instruction: string, expected_outcome: string, preconditions: struct<description: string, ext (... 23 chars omitted)
child 0, instruction: string
child 1, expected_outcome: string
child 2, preconditions: struct<description: string, extras: list<item: null>>
child 0, description: string
child 1, extras: list<item: null>
child 0, item: null
task_type: string
micro_action_id: string
expected_outcome: string
to
{'id': Value('string'), 'variant_index': Value('int64'), 'task_index': Value('int64'), 'micro_action_id': Value('string'), 'task_type': Value('string'), 'goal': Value('string'), 'expected_outcome': Value('string'), 'generation_run': Value('string'), 'source_task': {'instruction': Value('string'), 'expected_outcome': Value('string'), 'preconditions': {'description': Value('string'), 'extras': List(Value('null'))}}}
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.
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