Datasets:

---

Qys77

/

easy-mem-data

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
version: int64
kind: string
config: struct<model: string, memory_granularity: string, turn_overlap: int64, dialogue_format: string, prom (... 147 chars omitted)
  child 0, model: string
  child 1, memory_granularity: string
  child 2, turn_overlap: int64
  child 3, dialogue_format: string
  child 4, prompt_template: string
  child 5, mem_extract_extra_templates: list<item: string>
      child 0, item: string
  child 6, mem_extract_aspects_only: bool
  child 7, use_json_schema: bool
  child 8, max_new_tokens: int64
completed: list<item: string>
  child 0, item: string
turn_overlap: int64
memory_granularity: int64
history_name: string
dialogue_format: string
model: string
chunks: list<item: struct<chunk_index: int64, session_index: int64, turn_start: int64, turn_end: int64, turn (... 98 chars omitted)
  child 0, item: struct<chunk_index: int64, session_index: int64, turn_start: int64, turn_end: int64, turn_overlap: i (... 86 chars omitted)
      child 0, chunk_index: int64
      child 1, session_index: int64
      child 2, turn_start: int64
      child 3, turn_end: int64
      child 4, turn_overlap: int64
      child 5, session_date: string
      child 6, candidate_memories: list<item: string>
          child 0, item: string
      child 7, parse_error: null
to
{'history_name': Value('string'), 'model': Value('string'), 'memory_granularity': Value('int64'), 'turn_overlap': Value('int64'), 'dialogue_format': Value('string'), 'chunks': List({'chunk_index': Value('int64'), 'session_index': Value('int64'), 'turn_start': Value('int64'), 'turn_end': Value('int64'), 'turn_overlap': Value('int64'), 'session_date': Value('string'), 'candidate_memories': List(Value('string')), 'parse_error': Value('null')})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_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 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              version: int64
              kind: string
              config: struct<model: string, memory_granularity: string, turn_overlap: int64, dialogue_format: string, prom (... 147 chars omitted)
                child 0, model: string
                child 1, memory_granularity: string
                child 2, turn_overlap: int64
                child 3, dialogue_format: string
                child 4, prompt_template: string
                child 5, mem_extract_extra_templates: list<item: string>
                    child 0, item: string
                child 6, mem_extract_aspects_only: bool
                child 7, use_json_schema: bool
                child 8, max_new_tokens: int64
              completed: list<item: string>
                child 0, item: string
              turn_overlap: int64
              memory_granularity: int64
              history_name: string
              dialogue_format: string
              model: string
              chunks: list<item: struct<chunk_index: int64, session_index: int64, turn_start: int64, turn_end: int64, turn (... 98 chars omitted)
                child 0, item: struct<chunk_index: int64, session_index: int64, turn_start: int64, turn_end: int64, turn_overlap: i (... 86 chars omitted)
                    child 0, chunk_index: int64
                    child 1, session_index: int64
                    child 2, turn_start: int64
                    child 3, turn_end: int64
                    child 4, turn_overlap: int64
                    child 5, session_date: string
                    child 6, candidate_memories: list<item: string>
                        child 0, item: string
                    child 7, parse_error: null
              to
              {'history_name': Value('string'), 'model': Value('string'), 'memory_granularity': Value('int64'), 'turn_overlap': Value('int64'), 'dialogue_format': Value('string'), 'chunks': List({'chunk_index': Value('int64'), 'session_index': Value('int64'), 'turn_start': Value('int64'), 'turn_end': Value('int64'), 'turn_overlap': Value('int64'), 'session_date': Value('string'), 'candidate_memories': List(Value('string')), 'parse_error': Value('null')})}
              because column names don't match
              
              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