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lfqian
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annulus-eval

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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Failed to parse string: '[Y1999]' as a scalar of type double
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1852, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2143, in cast_array_to_feature
                  return array_cast(
                      array,
                  ...<2 lines>...
                      allow_decimal_to_str=allow_decimal_to_str,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2006, in array_cast
                  return array.cast(pa_type)
                         ~~~~~~~~~~^^^^^^^^^
                File "pyarrow/array.pxi", line 1147, in pyarrow.lib.Array.cast
                File "/usr/local/lib/python3.14/site-packages/pyarrow/compute.py", line 412, in cast
                  return call_function("cast", [arr], options, memory_pool)
                File "pyarrow/_compute.pyx", line 604, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
                  result = GetResultValue(
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Failed to parse string: '[Y1999]' as a scalar of type double
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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task
string
mode
string
input
string
gold
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pred
string
correct
int64
emitted_year
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the the the the the the the the the the the the the the the the the the the the the the the the
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s8JH
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the the the the the the the the the the the the the the the the the the the the the the the the
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the the the the the the the the the the the the the the the the the the the the the the the the
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the the the the the the the the the the the the the the the the the the the the the the the the
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the the the the the the the the the the the the the the the the the the the the the the the the
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v
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the the the the the the the the the the the the the the the the the the the the the the the the
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w
W
the the the the the the the the the the the the the the the the the the the the the the the the
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x
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the the the the the the the the the the the the the the the the the the the the the the the the
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the the the the the the the the the the the the the the the the the the the the the the the the
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z
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the the the the the the the the the the the the the the the the the the the the the the the the
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basic_arithmetic
plain
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8
the the the the the the the the the the the the the the the the the the the the the the the the
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basic_arithmetic
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What is 12 - 7?
5
the the the the the the the the the the the the the the the the the the the the the the the the
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basic_arithmetic
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What is 4 × 6?
24
the the the the the the the the the the the the the the the the the the the the the the the the
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basic_arithmetic
plain
What is 15 ÷ 3?
5
the the the the the the the the the the the the the the the the the the the the the the the the
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basic_arithmetic
plain
What is 2 + 2?
4
the the the the the the the the the the the the the the the the the the the the the the the the
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basic_arithmetic
plain
What is 10 - 4?
6
the the the the the the the the the the the the the the the the the the the the the the the the
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basic_arithmetic
plain
What is 3 × 7?
21
the the the the the the the the the the the the the the the the the the the the the the the the
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basic_arithmetic
plain
What is 20 ÷ 4?
5
the the the the the the the the the the the the the the the the the the the the the the the the
0
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basic_arithmetic
plain
What is 8 + 9?
17
the the the the the the the the the the the the the the the the the the the the the the the the
0
null
basic_arithmetic
plain
What is 25 - 13?
12
the the the the the the the the the the the the the the the the the the the the the the the the
0
null
plural_upper
plain
child
CHILDREN
the the the the the the the the the the the the the the the the the the the the the the the the
0
null
plural_upper
plain
mouse
MICE
the the the the the the the the the the the the the the the the the the the the the the the the
0
null
plural_upper
plain
foot
FEET
the the the the the the the the the the the the the the the the the the the the the the the the
0
null
plural_upper
plain
tooth
TEETH
the the the the the the the the the the the the the the the the the the the the the the the the
0
null
plural_upper
plain
woman
WOMEN
the the the the the the the the the the the the the the the the the the the the the the the the
0
null
plural_upper
plain
man
MEN
the the the the the the the the the the the the the the the the the the the the the the the the
0
null
plural_upper
plain
person
PEOPLE
the the the the the the the the the the the the the the the the the the the the the the the the
0
null
plural_upper
plain
bird
BIRDS
the the the the the the the the the the the the the the the the the the the the the the the the
0
null
plural_upper
plain
sheep
SHEEP
the the the the the the the the the the the the the the the the the the the the the the the the
0
null
plural_upper
plain
deer
DEER
the the the the the the the the the the the the the the the the the the the the the the the the
0
null
plural_upper
plain
goose
GEESE
the the the the the the the the the the the the the the the the the the the the the the the the
0
null
plural_upper
plain
ox
OXEN
the the the the the the the the the the the the the the the the the the the the the the the the
0
null
plural_upper
plain
computer
COMPUTERS
the the the the the the the the the the the the the the the the the the the the the the the the
0
null
plural_upper
plain
phone
PHONES
the the the the the the the the the the the the the the the the the the the the the the the the
0
null
End of preview.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Annulus eval sweep results

Per-ckpt 3-task eval (PPL pre-2000 year-swap / ECON full 1980–2026 recall+prediction / CAP ICL) for annulus runs v7, v8, v11 … Produced on misha (Yale) via econ_work/ pipeline.

  • results/sweep/ppl_to2005_*.txt — PPL per year-bucket (plain/correct/wnear/wfar)
  • results/econ_ab/ab_*_{recall,prediction}.{json,csv} — P(E) + A–E logits per tau (1980–2026)
  • results/captest_*_{plain,task1}.csv — cap ICL per-task (task1=带[Y2000], plain=不带)
  • dashboard.html — 3-tab (PPL/ECON/CAP) interactive summary; sweep_data.json — its data
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