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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
affected_analysis: string
batch: string
dataset: string
declaration_kind: string
dropped_field_path: string
dropped_source_kind: null
evidence: struct<>
loss_class: string
reason: string
reducer_id: string
reducer_name: string
run_id: string
sample_id: string
usage_so_far: struct<completion_tokens: int64, cost: double, prompt_tokens: int64>
child 0, completion_tokens: int64
child 1, cost: double
child 2, prompt_tokens: int64
infos: list<item: struct<r: int64>>
child 0, item: struct<r: int64>
child 0, r: int64
ys: list<item: string>
child 0, item: string
numbers: string
idx: int64
steps: list<item: struct<new_ys: list<item: string>, select_new_ys: list<item: string>, step: int64, values (... 57 chars omitted)
child 0, item: struct<new_ys: list<item: string>, select_new_ys: list<item: string>, step: int64, values: list<item (... 45 chars omitted)
child 0, new_ys: list<item: string>
child 0, item: string
child 1, select_new_ys: list<item: string>
child 0, item: string
child 2, step: int64
child 3, values: list<item: double>
child 0, item: double
child 4, x: string
child 5, ys: list<item: string>
child 0, item: string
puzzle_id: string
to
{'idx': Value('int64'), 'infos': List({'r': Value('int64')}), 'numbers': Value('string'), 'puzzle_id': Value('string'), 'steps': List({'new_ys': List(Value('string')), 'select_new_ys': List(Value('string')), 'step': Value('int64'), 'values': List(Value('float64')), 'x': Value('string'), 'ys': List(Value('string'))}), 'usage_so_far': {'completion_tokens': Value('int64'), 'cost': Value('float64'), 'prompt_tokens': Value('int64')}, 'ys': List(Value('string'))}
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 295, 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 128, 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 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
affected_analysis: string
batch: string
dataset: string
declaration_kind: string
dropped_field_path: string
dropped_source_kind: null
evidence: struct<>
loss_class: string
reason: string
reducer_id: string
reducer_name: string
run_id: string
sample_id: string
usage_so_far: struct<completion_tokens: int64, cost: double, prompt_tokens: int64>
child 0, completion_tokens: int64
child 1, cost: double
child 2, prompt_tokens: int64
infos: list<item: struct<r: int64>>
child 0, item: struct<r: int64>
child 0, r: int64
ys: list<item: string>
child 0, item: string
numbers: string
idx: int64
steps: list<item: struct<new_ys: list<item: string>, select_new_ys: list<item: string>, step: int64, values (... 57 chars omitted)
child 0, item: struct<new_ys: list<item: string>, select_new_ys: list<item: string>, step: int64, values: list<item (... 45 chars omitted)
child 0, new_ys: list<item: string>
child 0, item: string
child 1, select_new_ys: list<item: string>
child 0, item: string
child 2, step: int64
child 3, values: list<item: double>
child 0, item: double
child 4, x: string
child 5, ys: list<item: string>
child 0, item: string
puzzle_id: string
to
{'idx': Value('int64'), 'infos': List({'r': Value('int64')}), 'numbers': Value('string'), 'puzzle_id': Value('string'), 'steps': List({'new_ys': List(Value('string')), 'select_new_ys': List(Value('string')), 'step': Value('int64'), 'values': List(Value('float64')), 'x': Value('string'), 'ys': List(Value('string'))}), 'usage_so_far': {'completion_tokens': Value('int64'), 'cost': Value('float64'), 'prompt_tokens': Value('int64')}, 'ys': List(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.
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Tree-of-Thought Game24 traces
This dataset contains exported rollout-card bundle JSONL files for the paper artifact.
- Source URL: https://github.com/princeton-nlp/tree-of-thought-llm
- License: See upstream Tree-of-Thought repository
- Redistribution class: metadata-plus-fetch
- Card claim class: preservation
- Reducer paper result ids: none
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