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
instance_id: string
source: string
node: string
strategy: string
eval_status: string
claude_trace: list<item: struct<request: struct<timestamp: double, method: string, url: string, headers: struct<ac (... 5100 chars omitted)
child 0, item: struct<request: struct<timestamp: double, method: string, url: string, headers: struct<accept: strin (... 5088 chars omitted)
child 0, request: struct<timestamp: double, method: string, url: string, headers: struct<accept: string, anthropic-bet (... 4738 chars omitted)
child 0, timestamp: double
child 1, method: string
child 2, url: string
child 3, headers: struct<accept: string, anthropic-beta: string, anthropic-dangerous-direct-browser-access: string, an (... 386 chars omitted)
child 0, accept: string
child 1, anthropic-beta: string
child 2, anthropic-dangerous-direct-browser-access: string
child 3, anthropic-version: timestamp[s]
child 4, authorization: string
child 5, content-type: string
child 6, user-agent: string
child 7, x-app: string
child 8, x-stainless-arch: string
child 9, x-stainless-helper-method: string
child 10, x-stainless-lang: string
child 11, x-stainless-os: string
child 12, x-stainless-package-version: string
child 13, x-stainless-retry-count: string
child 14, x-stai
...
at: string
prediction: struct<instance_id: string, model: string, prediction: string>
child 0, instance_id: string
child 1, model: string
child 2, prediction: string
plan: string
result_metadata: struct<instance_id: string, timestamp: string, claude_output: struct<success: bool, stdout: string, (... 95 chars omitted)
child 0, instance_id: string
child 1, timestamp: string
child 2, claude_output: struct<success: bool, stdout: string, stderr: string, returncode: int64, stop_reason: null, attempt: (... 7 chars omitted)
child 0, success: bool
child 1, stdout: string
child 2, stderr: string
child 3, returncode: int64
child 4, stop_reason: null
child 5, attempt: int64
child 3, extracted_patch: string
single_pass: struct<total: int64, with_trace: int64, with_prediction: int64, with_plan: int64, resolved: int64, n (... 61 chars omitted)
child 0, total: int64
child 1, with_trace: int64
child 2, with_prediction: int64
child 3, with_plan: int64
child 4, resolved: int64
child 5, not_resolved: int64
child 6, not_evaluated: int64
child 7, empty_trace: int64
plan_and_exec: struct<total: int64, with_trace: int64, with_prediction: int64, with_plan: int64, resolved: int64, n (... 61 chars omitted)
child 0, total: int64
child 1, with_trace: int64
child 2, with_prediction: int64
child 3, with_plan: int64
child 4, resolved: int64
child 5, not_resolved: int64
child 6, not_evaluated: int64
child 7, empty_trace: int64
to
{'plan_and_exec': {'total': Value('int64'), 'with_trace': Value('int64'), 'with_prediction': Value('int64'), 'with_plan': Value('int64'), 'resolved': Value('int64'), 'not_resolved': Value('int64'), 'not_evaluated': Value('int64'), 'empty_trace': Value('int64')}, 'single_pass': {'total': Value('int64'), 'with_trace': Value('int64'), 'with_prediction': Value('int64'), 'with_plan': Value('int64'), 'resolved': Value('int64'), 'not_resolved': Value('int64'), 'not_evaluated': Value('int64'), 'empty_trace': Value('int64')}}
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 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, 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 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, 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 265, 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 120, 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 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
instance_id: string
source: string
node: string
strategy: string
eval_status: string
claude_trace: list<item: struct<request: struct<timestamp: double, method: string, url: string, headers: struct<ac (... 5100 chars omitted)
child 0, item: struct<request: struct<timestamp: double, method: string, url: string, headers: struct<accept: strin (... 5088 chars omitted)
child 0, request: struct<timestamp: double, method: string, url: string, headers: struct<accept: string, anthropic-bet (... 4738 chars omitted)
child 0, timestamp: double
child 1, method: string
child 2, url: string
child 3, headers: struct<accept: string, anthropic-beta: string, anthropic-dangerous-direct-browser-access: string, an (... 386 chars omitted)
child 0, accept: string
child 1, anthropic-beta: string
child 2, anthropic-dangerous-direct-browser-access: string
child 3, anthropic-version: timestamp[s]
child 4, authorization: string
child 5, content-type: string
child 6, user-agent: string
child 7, x-app: string
child 8, x-stainless-arch: string
child 9, x-stainless-helper-method: string
child 10, x-stainless-lang: string
child 11, x-stainless-os: string
child 12, x-stainless-package-version: string
child 13, x-stainless-retry-count: string
child 14, x-stai
...
at: string
prediction: struct<instance_id: string, model: string, prediction: string>
child 0, instance_id: string
child 1, model: string
child 2, prediction: string
plan: string
result_metadata: struct<instance_id: string, timestamp: string, claude_output: struct<success: bool, stdout: string, (... 95 chars omitted)
child 0, instance_id: string
child 1, timestamp: string
child 2, claude_output: struct<success: bool, stdout: string, stderr: string, returncode: int64, stop_reason: null, attempt: (... 7 chars omitted)
child 0, success: bool
child 1, stdout: string
child 2, stderr: string
child 3, returncode: int64
child 4, stop_reason: null
child 5, attempt: int64
child 3, extracted_patch: string
single_pass: struct<total: int64, with_trace: int64, with_prediction: int64, with_plan: int64, resolved: int64, n (... 61 chars omitted)
child 0, total: int64
child 1, with_trace: int64
child 2, with_prediction: int64
child 3, with_plan: int64
child 4, resolved: int64
child 5, not_resolved: int64
child 6, not_evaluated: int64
child 7, empty_trace: int64
plan_and_exec: struct<total: int64, with_trace: int64, with_prediction: int64, with_plan: int64, resolved: int64, n (... 61 chars omitted)
child 0, total: int64
child 1, with_trace: int64
child 2, with_prediction: int64
child 3, with_plan: int64
child 4, resolved: int64
child 5, not_resolved: int64
child 6, not_evaluated: int64
child 7, empty_trace: int64
to
{'plan_and_exec': {'total': Value('int64'), 'with_trace': Value('int64'), 'with_prediction': Value('int64'), 'with_plan': Value('int64'), 'resolved': Value('int64'), 'not_resolved': Value('int64'), 'not_evaluated': Value('int64'), 'empty_trace': Value('int64')}, 'single_pass': {'total': Value('int64'), 'with_trace': Value('int64'), 'with_prediction': Value('int64'), 'with_plan': Value('int64'), 'resolved': Value('int64'), 'not_resolved': Value('int64'), 'not_evaluated': Value('int64'), 'empty_trace': Value('int64')}}
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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