Datasets:

callensxavier
/

cpugym-v9-scientific-dataset

Tasks:
Text Classification
Tags:
reinforcement-learning
compiler-optimization
cpugym
telemetry
scientific-dataset
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test
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
baseline_O0: struct<flags: list<item: string>, binary_size_kb: double, execution_times: list<item: double>, avg_t (... 73 chars omitted)
  child 0, flags: list<item: string>
      child 0, item: string
  child 1, binary_size_kb: double
  child 2, execution_times: list<item: double>
      child 0, item: double
  child 3, avg_time_s: double
  child 4, min_time_s: double
  child 5, max_time_s: double
  child 6, std_dev_s: double
fast_math: struct<flags: list<item: string>, binary_size_kb: double, execution_times: list<item: double>, avg_t (... 102 chars omitted)
  child 0, flags: list<item: string>
      child 0, item: string
  child 1, binary_size_kb: double
  child 2, execution_times: list<item: double>
      child 0, item: double
  child 3, avg_time_s: double
  child 4, min_time_s: double
  child 5, max_time_s: double
  child 6, std_dev_s: double
  child 7, speedup_vs_baseline: double
loop_prefetch: struct<flags: list<item: string>, binary_size_kb: double, execution_times: list<item: double>, avg_t (... 102 chars omitted)
  child 0, flags: list<item: string>
      child 0, item: string
  child 1, binary_size_kb: double
  child 2, execution_times: list<item: double>
      child 0, item: double
  child 3, avg_time_s: double
  child 4, min_time_s: double
  child 5, max_time_s: double
  child 6, std_dev_s: double
  child 7, speedup_vs_baseline: double
lto_aggressive: struct<flags: list<item: string>, binary_size_kb: double, execution_times: list<item: double>, avg_t (... 102 char
...
binary_size_kb: double, execution_times: list<item: double>, avg_t (... 102 chars omitted)
  child 0, flags: list<item: string>
      child 0, item: string
  child 1, binary_size_kb: double
  child 2, execution_times: list<item: double>
      child 0, item: double
  child 3, avg_time_s: double
  child 4, min_time_s: double
  child 5, max_time_s: double
  child 6, std_dev_s: double
  child 7, speedup_vs_baseline: double
speed_O3: struct<flags: list<item: string>, binary_size_kb: double, execution_times: list<item: double>, avg_t (... 102 chars omitted)
  child 0, flags: list<item: string>
      child 0, item: string
  child 1, binary_size_kb: double
  child 2, execution_times: list<item: double>
      child 0, item: double
  child 3, avg_time_s: double
  child 4, min_time_s: double
  child 5, max_time_s: double
  child 6, std_dev_s: double
  child 7, speedup_vs_baseline: double
predicted_flags: list<item: string>
  child 0, item: string
checksum_ok: bool
speedup: double
configs: list<item: struct<config: string, flags: string, compile_ok: bool, time_s: double, tests_passed: int (... 24 chars omitted)
  child 0, item: struct<config: string, flags: string, compile_ok: bool, time_s: double, tests_passed: int64, total_t (... 12 chars omitted)
      child 0, config: string
      child 1, flags: string
      child 2, compile_ok: bool
      child 3, time_s: double
      child 4, tests_passed: int64
      child 5, total_tests: int64
timestamp: string
timestep: int64
eval_number: int64
to
{'eval_number': Value('int64'), 'timestep': Value('int64'), 'timestamp': Value('string'), 'configs': List({'config': Value('string'), 'flags': Value('string'), 'compile_ok': Value('bool'), 'time_s': Value('float64'), 'tests_passed': Value('int64'), 'total_tests': Value('int64')}), 'speedup': Value('float64'), 'checksum_ok': Value('bool'), 'predicted_flags': 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 299, 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
              baseline_O0: struct<flags: list<item: string>, binary_size_kb: double, execution_times: list<item: double>, avg_t (... 73 chars omitted)
                child 0, flags: list<item: string>
                    child 0, item: string
                child 1, binary_size_kb: double
                child 2, execution_times: list<item: double>
                    child 0, item: double
                child 3, avg_time_s: double
                child 4, min_time_s: double
                child 5, max_time_s: double
                child 6, std_dev_s: double
              fast_math: struct<flags: list<item: string>, binary_size_kb: double, execution_times: list<item: double>, avg_t (... 102 chars omitted)
                child 0, flags: list<item: string>
                    child 0, item: string
                child 1, binary_size_kb: double
                child 2, execution_times: list<item: double>
                    child 0, item: double
                child 3, avg_time_s: double
                child 4, min_time_s: double
                child 5, max_time_s: double
                child 6, std_dev_s: double
                child 7, speedup_vs_baseline: double
              loop_prefetch: struct<flags: list<item: string>, binary_size_kb: double, execution_times: list<item: double>, avg_t (... 102 chars omitted)
                child 0, flags: list<item: string>
                    child 0, item: string
                child 1, binary_size_kb: double
                child 2, execution_times: list<item: double>
                    child 0, item: double
                child 3, avg_time_s: double
                child 4, min_time_s: double
                child 5, max_time_s: double
                child 6, std_dev_s: double
                child 7, speedup_vs_baseline: double
              lto_aggressive: struct<flags: list<item: string>, binary_size_kb: double, execution_times: list<item: double>, avg_t (... 102 char
              ...
              binary_size_kb: double, execution_times: list<item: double>, avg_t (... 102 chars omitted)
                child 0, flags: list<item: string>
                    child 0, item: string
                child 1, binary_size_kb: double
                child 2, execution_times: list<item: double>
                    child 0, item: double
                child 3, avg_time_s: double
                child 4, min_time_s: double
                child 5, max_time_s: double
                child 6, std_dev_s: double
                child 7, speedup_vs_baseline: double
              speed_O3: struct<flags: list<item: string>, binary_size_kb: double, execution_times: list<item: double>, avg_t (... 102 chars omitted)
                child 0, flags: list<item: string>
                    child 0, item: string
                child 1, binary_size_kb: double
                child 2, execution_times: list<item: double>
                    child 0, item: double
                child 3, avg_time_s: double
                child 4, min_time_s: double
                child 5, max_time_s: double
                child 6, std_dev_s: double
                child 7, speedup_vs_baseline: double
              predicted_flags: list<item: string>
                child 0, item: string
              checksum_ok: bool
              speedup: double
              configs: list<item: struct<config: string, flags: string, compile_ok: bool, time_s: double, tests_passed: int (... 24 chars omitted)
                child 0, item: struct<config: string, flags: string, compile_ok: bool, time_s: double, tests_passed: int64, total_t (... 12 chars omitted)
                    child 0, config: string
                    child 1, flags: string
                    child 2, compile_ok: bool
                    child 3, time_s: double
                    child 4, tests_passed: int64
                    child 5, total_tests: int64
              timestamp: string
              timestep: int64
              eval_number: int64
              to
              {'eval_number': Value('int64'), 'timestep': Value('int64'), 'timestamp': Value('string'), 'configs': List({'config': Value('string'), 'flags': Value('string'), 'compile_ok': Value('bool'), 'time_s': Value('float64'), 'tests_passed': Value('int64'), 'total_tests': Value('int64')}), 'speedup': Value('float64'), 'checksum_ok': Value('bool'), 'predicted_flags': List(Value('string'))}
              because column names don't match
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CPUGym V9 Scientific Dataset

This dataset package contains the durable telemetry and evaluation evidence used to freeze the V9 release:
root dashboard SQLite database
live p3 and p2r SQLite databases
Azure evaluation artifacts
release manifest and scientific report
monitoring logs and V9 deployment documentation
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