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minimax-m2.7-observations

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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
model: string
run_name: string
total_batches: int64
batch_size: int64
max_tokens: int64
num_layers: int64
n_gpus: int64
observation_hours: double
model_load_seconds: double
dataset_requested_batches: int64
dataset_loaded_batches: int64
dataset_missing_batches: int64
dataset_requested_samples_estimate: int64
dataset_loaded_samples_estimate: int64
dataset_missing_samples_estimate: int64
dataset_report_path: string
categories: list<item: string>
  child 0, item: string
batches_per_category: struct<code: int64, math: int64, science: int64, swe: int64, function_calling: int64, security: int6 (... 76 chars omitted)
  child 0, code: int64
  child 1, math: int64
  child 2, science: int64
  child 3, swe: int64
  child 4, function_calling: int64
  child 5, security: int64
  child 6, ethics: int64
  child 7, general: int64
  child 8, creative: int64
  child 9, structured_output: int64
completed_at: timestamp[s]
category_counts: struct<code: int64, math: int64, science: int64, swe: int64, function_calling: int64, security: int6 (... 76 chars omitted)
  child 0, code: int64
  child 1, math: int64
  child 2, science: int64
  child 3, swe: int64
  child 4, function_calling: int64
  child 5, security: int64
  child 6, ethics: int64
  child 7, general: int64
  child 8, creative: int64
  child 9, structured_output: int64
batch_category_index: list<item: string>
  child 0, item: string
to
{'categories': List(Value('string')), 'batch_category_index': List(Value('string')), 'category_counts': {'code': Value('int64'), 'math': Value('int64'), 'science': Value('int64'), 'swe': Value('int64'), 'function_calling': Value('int64'), 'security': Value('int64'), 'ethics': Value('int64'), 'general': Value('int64'), 'creative': Value('int64'), 'structured_output': 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 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
              model: string
              run_name: string
              total_batches: int64
              batch_size: int64
              max_tokens: int64
              num_layers: int64
              n_gpus: int64
              observation_hours: double
              model_load_seconds: double
              dataset_requested_batches: int64
              dataset_loaded_batches: int64
              dataset_missing_batches: int64
              dataset_requested_samples_estimate: int64
              dataset_loaded_samples_estimate: int64
              dataset_missing_samples_estimate: int64
              dataset_report_path: string
              categories: list<item: string>
                child 0, item: string
              batches_per_category: struct<code: int64, math: int64, science: int64, swe: int64, function_calling: int64, security: int6 (... 76 chars omitted)
                child 0, code: int64
                child 1, math: int64
                child 2, science: int64
                child 3, swe: int64
                child 4, function_calling: int64
                child 5, security: int64
                child 6, ethics: int64
                child 7, general: int64
                child 8, creative: int64
                child 9, structured_output: int64
              completed_at: timestamp[s]
              category_counts: struct<code: int64, math: int64, science: int64, swe: int64, function_calling: int64, security: int6 (... 76 chars omitted)
                child 0, code: int64
                child 1, math: int64
                child 2, science: int64
                child 3, swe: int64
                child 4, function_calling: int64
                child 5, security: int64
                child 6, ethics: int64
                child 7, general: int64
                child 8, creative: int64
                child 9, structured_output: int64
              batch_category_index: list<item: string>
                child 0, item: string
              to
              {'categories': List(Value('string')), 'batch_category_index': List(Value('string')), 'category_counts': {'code': Value('int64'), 'math': Value('int64'), 'science': Value('int64'), 'swe': Value('int64'), 'function_calling': Value('int64'), 'security': Value('int64'), 'ethics': Value('int64'), 'general': Value('int64'), 'creative': Value('int64'), 'structured_output': Value('int64')}}
              because column names don't match

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REAP surfaces: GLM | MiniMax | Qwen | Gemma | Paper | Code | PR17 | Cerebras Collection

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