Datasets:

Dragon1218

/

typhoon_QA_Set

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
Question: string
Answer: string
Category: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 605
to
{'ลำดับ': Value(dtype='int64', id=None), 'คำถาม  / Question (TH)': Value(dtype='string', id=None), 'คำตอบ/ Answer (TH)': Value(dtype='string', id=None), 'คำถาม  / Question (EN)': Value(dtype='string', id=None), 'คำตอบ/ Answer (EN)': Value(dtype='string', id=None), 'หมวดหมู่/Category': Value(dtype='string', id=None), 'หมวดหมู่ย่อย/Subcategories': Value(dtype='string', id=None), 'ความถี่/frequency': Value(dtype='string', id=None), 'ระดับคำถาม/Question level': Value(dtype='string', id=None), 'วันที่สร้าง /Created date ': Value(dtype='timestamp[ns]', id=None), 'วันที่แก้ไข/Modified date': Value(dtype='timestamp[ns]', id=None)}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 428, in query
                  pa_table = pa.concat_tables(
                File "pyarrow/table.pxi", line 5245, in pyarrow.lib.concat_tables
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              ลำดับ: int64
              คำถาม  / Question (TH): string
              คำตอบ/ Answer (TH): string
              คำถาม  / Question (EN): string
              คำตอบ/ Answer (EN): string
              หมวดหมู่/Category: string
              หมวดหมู่ย่อย/Subcategories: string
              ความถี่/frequency: string
              ระดับคำถาม/Question level: string
              วันที่สร้าง /Created date : timestamp[ns]
              วันที่แก้ไข/Modified date: timestamp[ns]
              vs
              
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 105, in get_rows_content
                  pa_table = rows_index.query(offset=0, length=rows_max_number)
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 577, in query
                  return self.parquet_index.query(offset=offset, length=length)
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 435, in query
                  raise SchemaMismatchError("Parquet files have different schema.", err)
              libcommon.parquet_utils.SchemaMismatchError: ('Parquet files have different schema.', ArrowInvalid('Schema at index 1 was different: \nลำดับ: int64\nคำถาม  / Question (TH): string\nคำตอบ/ Answer (TH): string\nคำถาม  / Question (EN): string\nคำตอบ/ Answer (EN): string\nหมวดหมู่/Category: string\nหมวดหมู่ย่อย/Subcategories: string\nความถี่/frequency: string\nระดับคำถาม/Question level: string\nวันที่สร้าง /Created date : timestamp[ns]\nวันที่แก้ไข/Modified date: timestamp[ns]\nvs\n'))
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 328, in compute
                  compute_first_rows_from_parquet_response(
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 119, in compute_first_rows_from_parquet_response
                  return create_first_rows_response(
                File "/src/libs/libcommon/src/libcommon/viewer_utils/rows.py", line 134, in create_first_rows_response
                  rows_content = get_rows_content(rows_max_number)
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 114, in get_rows_content
                  raise SplitParquetSchemaMismatchError(
              libcommon.exceptions.SplitParquetSchemaMismatchError: Split parquet files being processed have different schemas. Ensure all files have identical column names.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 91, in get_rows_or_raise
                  return get_rows(
                File "/src/libs/libcommon/src/libcommon/utils.py", line 183, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 68, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1388, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
                  for key, pa_table in self.generate_tables_fn(**self.kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 96, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 74, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2194, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Question: string
              Answer: string
              Category: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 605
              to
              {'ลำดับ': Value(dtype='int64', id=None), 'คำถาม  / Question (TH)': Value(dtype='string', id=None), 'คำตอบ/ Answer (TH)': Value(dtype='string', id=None), 'คำถาม  / Question (EN)': Value(dtype='string', id=None), 'คำตอบ/ Answer (EN)': Value(dtype='string', id=None), 'หมวดหมู่/Category': Value(dtype='string', id=None), 'หมวดหมู่ย่อย/Subcategories': Value(dtype='string', id=None), 'ความถี่/frequency': Value(dtype='string', id=None), 'ระดับคำถาม/Question level': Value(dtype='string', id=None), 'วันที่สร้าง /Created date ': Value(dtype='timestamp[ns]', id=None), 'วันที่แก้ไข/Modified date': Value(dtype='timestamp[ns]', id=None)}
              because column names don't match