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advcal-results

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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
tossup__20250403_015308__houyu0930__simple-qb-player: double
tossup__20250415_024059__houyu0930__simple-agent: double
tossup__20250512_044119__Amanvir__pair-gpt-claude-1: double
tossup__20250516_065622__mgor__single-step-meticulous-gpt-4o: double
tossup__20250517_071308__Amanvir__gpt-sloth: double
tossup__20250522_024238__LeoJ-xy__vote-for-the-answer: double
tossup__20250526_075657__Amanvir__gpt-snail: double
tossup__20250529_163043__nmokaria__gpt40_tossup_titan: double
tossup__20250530_145104__Amanvir__gpt-sloth-2: double
tossup__20250530_145707__Amanvir__gpt-sloth-3: double
tossup__20250530_145721__Amanvir__gpt-sloth-freq-fix: double
tossup__20250530_212634__Amanvir__elephant: double
tossup__20250530_213110__Amanvir__elephant-mom-ditto-4: double
tossup__20250601_120051__spc2best__cosing-1: double
tossup__20250601_120455__spc2best__cosing-1: double
tossup__20250601_120704__spc2best__cosing-1: double
tossup__20250601_121056__spc2best__cc: double
tossup__20250602_024912__jaimiec__jaimiec-test-1: double
tossup__20250602_030140__jaimiec__test: double
tossup__20250602_035037__jaimiec__jaimiec-test-2: double
tossup__20250602_190022__mgor__test-sub: double
tossup__20250607_035131__jaimiec__jaimiec-test-3: double
tossup__20250607_042926__jaimiec__jaimiec-test-aggressive: double
tossup__20250607_044418__jaimiec__jaimiec-test-cautious: double
tossup__20250607_235656__nmokaria__gpt-4o-mini-tossup-titan: double
tossup__20250608_011619__Parth-Dua__sub: double
tossup__20250608_013414__Par
...
011615__Amanvir__gpt-mouse: double
tossup__20250609_012529__Amanvir__gpt-beaver: double
tossup__20250609_071344__Amanvir__gpt-tiger-1: double
tossup__20250610_005948__Amanvir__gpt-tiger-2: double
tossup__20250610_010341__Amanvir__gpt-tiger-2-risky: double
tossup__20250610_014351__Amanvir__gpt-2-tiger-safer: double
tossup__20250610_031809__Amanvir__gpt-tiger-tuned: double
tossup__20250610_044640__Amanvir__gpt-tiger-calib: double
tossup__20250611_000357__Amanvir__gpt-tiger-aggro-1: double
tossup__20250611_001458__Amanvir__gpt-tiger-aggro-2: double
tossup__20250611_032456__jaimiec__jaimiec-test-2-gpt-41: double
tossup__20250611_032809__jaimiec__jaimiec-test-3-gpt-41: double
tossup__20250611_033042__jaimiec__jaimiec-test-3-gpt-41-06: double
tossup__20250611_033356__jaimiec__jaimiec-test-5: double
tossup__20250611_033418__jaimiec__jaimiec-test-7: double
tossup__20250611_041232__Amanvir__gpt-tiger-aggro-3: double
tossup__20250611_041238__Amanvir__gpt-tiger-aggro-4: double
cost: double
competition_type: string
id: string
n_parts: int64
model_name: string
metrics: struct<part_accuracy: double, question_accuracy: double, raw_accuracy: double, calibration: double,  (... 69 chars omitted)
  child 0, part_accuracy: double
  child 1, question_accuracy: double
  child 2, raw_accuracy: double
  child 3, calibration: double
  child 4, calibrated_accuracy: double
  child 5, adoption: double
  child 6, effectiveness: double
created_at: string
username: string
eval_set: string
n_examples: int64
to
{'id': Value('string'), 'competition_type': Value('string'), 'username': Value('string'), 'model_name': Value('string'), 'eval_set': Value('string'), 'metrics': {'part_accuracy': Value('float64'), 'question_accuracy': Value('float64'), 'raw_accuracy': Value('float64'), 'calibration': Value('float64'), 'calibrated_accuracy': Value('float64'), 'adoption': Value('float64'), 'effectiveness': Value('float64')}, 'n_examples': Value('int64'), 'created_at': Value('string'), 'n_parts': Value('int64'), 'cost': Value('float64')}
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 2281, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              tossup__20250403_015308__houyu0930__simple-qb-player: double
              tossup__20250415_024059__houyu0930__simple-agent: double
              tossup__20250512_044119__Amanvir__pair-gpt-claude-1: double
              tossup__20250516_065622__mgor__single-step-meticulous-gpt-4o: double
              tossup__20250517_071308__Amanvir__gpt-sloth: double
              tossup__20250522_024238__LeoJ-xy__vote-for-the-answer: double
              tossup__20250526_075657__Amanvir__gpt-snail: double
              tossup__20250529_163043__nmokaria__gpt40_tossup_titan: double
              tossup__20250530_145104__Amanvir__gpt-sloth-2: double
              tossup__20250530_145707__Amanvir__gpt-sloth-3: double
              tossup__20250530_145721__Amanvir__gpt-sloth-freq-fix: double
              tossup__20250530_212634__Amanvir__elephant: double
              tossup__20250530_213110__Amanvir__elephant-mom-ditto-4: double
              tossup__20250601_120051__spc2best__cosing-1: double
              tossup__20250601_120455__spc2best__cosing-1: double
              tossup__20250601_120704__spc2best__cosing-1: double
              tossup__20250601_121056__spc2best__cc: double
              tossup__20250602_024912__jaimiec__jaimiec-test-1: double
              tossup__20250602_030140__jaimiec__test: double
              tossup__20250602_035037__jaimiec__jaimiec-test-2: double
              tossup__20250602_190022__mgor__test-sub: double
              tossup__20250607_035131__jaimiec__jaimiec-test-3: double
              tossup__20250607_042926__jaimiec__jaimiec-test-aggressive: double
              tossup__20250607_044418__jaimiec__jaimiec-test-cautious: double
              tossup__20250607_235656__nmokaria__gpt-4o-mini-tossup-titan: double
              tossup__20250608_011619__Parth-Dua__sub: double
              tossup__20250608_013414__Par
              ...
              011615__Amanvir__gpt-mouse: double
              tossup__20250609_012529__Amanvir__gpt-beaver: double
              tossup__20250609_071344__Amanvir__gpt-tiger-1: double
              tossup__20250610_005948__Amanvir__gpt-tiger-2: double
              tossup__20250610_010341__Amanvir__gpt-tiger-2-risky: double
              tossup__20250610_014351__Amanvir__gpt-2-tiger-safer: double
              tossup__20250610_031809__Amanvir__gpt-tiger-tuned: double
              tossup__20250610_044640__Amanvir__gpt-tiger-calib: double
              tossup__20250611_000357__Amanvir__gpt-tiger-aggro-1: double
              tossup__20250611_001458__Amanvir__gpt-tiger-aggro-2: double
              tossup__20250611_032456__jaimiec__jaimiec-test-2-gpt-41: double
              tossup__20250611_032809__jaimiec__jaimiec-test-3-gpt-41: double
              tossup__20250611_033042__jaimiec__jaimiec-test-3-gpt-41-06: double
              tossup__20250611_033356__jaimiec__jaimiec-test-5: double
              tossup__20250611_033418__jaimiec__jaimiec-test-7: double
              tossup__20250611_041232__Amanvir__gpt-tiger-aggro-3: double
              tossup__20250611_041238__Amanvir__gpt-tiger-aggro-4: double
              cost: double
              competition_type: string
              id: string
              n_parts: int64
              model_name: string
              metrics: struct<part_accuracy: double, question_accuracy: double, raw_accuracy: double, calibration: double,  (... 69 chars omitted)
                child 0, part_accuracy: double
                child 1, question_accuracy: double
                child 2, raw_accuracy: double
                child 3, calibration: double
                child 4, calibrated_accuracy: double
                child 5, adoption: double
                child 6, effectiveness: double
              created_at: string
              username: string
              eval_set: string
              n_examples: int64
              to
              {'id': Value('string'), 'competition_type': Value('string'), 'username': Value('string'), 'model_name': Value('string'), 'eval_set': Value('string'), 'metrics': {'part_accuracy': Value('float64'), 'question_accuracy': Value('float64'), 'raw_accuracy': Value('float64'), 'calibration': Value('float64'), 'calibrated_accuracy': Value('float64'), 'adoption': Value('float64'), 'effectiveness': Value('float64')}, 'n_examples': Value('int64'), 'created_at': Value('string'), 'n_parts': Value('int64'), 'cost': Value('float64')}
              because column names don't match

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