Datasets:

---

Shivatandav64

/

cs-lora-training-data

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
sample_id: string
paper_id: string
split: string
task: string
section_path: list<item: string>
  child 0, item: string
chunk_index: int64
chunk_total: int64
text: string
targets: struct<next_chunk_id: string>
  child 0, next_chunk_id: string
quality: struct<source_type: string, equation_quality: string>
  child 0, source_type: string
  child 1, equation_quality: string
mixture: list<item: struct<task: string, dataset: string, weight: double>>
  child 0, item: struct<task: string, dataset: string, weight: double>
      child 0, task: string
      child 1, dataset: string
      child 2, weight: double
curriculum: list<item: struct<phase: int64, steps: int64, narrative_ratio: double>>
  child 0, item: struct<phase: int64, steps: int64, narrative_ratio: double>
      child 0, phase: int64
      child 1, steps: int64
      child 2, narrative_ratio: double
to
{'mixture': List({'task': Value('string'), 'dataset': Value('string'), 'weight': Value('float64')}), 'curriculum': List({'phase': Value('int64'), 'steps': Value('int64'), 'narrative_ratio': 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 289, 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 124, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              sample_id: string
              paper_id: string
              split: string
              task: string
              section_path: list<item: string>
                child 0, item: string
              chunk_index: int64
              chunk_total: int64
              text: string
              targets: struct<next_chunk_id: string>
                child 0, next_chunk_id: string
              quality: struct<source_type: string, equation_quality: string>
                child 0, source_type: string
                child 1, equation_quality: string
              mixture: list<item: struct<task: string, dataset: string, weight: double>>
                child 0, item: struct<task: string, dataset: string, weight: double>
                    child 0, task: string
                    child 1, dataset: string
                    child 2, weight: double
              curriculum: list<item: struct<phase: int64, steps: int64, narrative_ratio: double>>
                child 0, item: struct<phase: int64, steps: int64, narrative_ratio: double>
                    child 0, phase: int64
                    child 1, steps: int64
                    child 2, narrative_ratio: double
              to
              {'mixture': List({'task': Value('string'), 'dataset': Value('string'), 'weight': Value('float64')}), 'curriculum': List({'phase': Value('int64'), 'steps': Value('int64'), 'narrative_ratio': Value('float64')})}
              because column names don't match