Datasets:

thanhdath
/

core-db-evaluation-prompts

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Split (2)

validation

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
split: string
n: int64
n_db: int64
prompts_sha256: string
source: string
variant: string
_split: string
_format_kwargs: struct<>
_output_all_columns: bool
_data_files: list<item: struct<filename: string>>
  child 0, item: struct<filename: string>
      child 0, filename: string
_format_type: null
_format_columns: null
_fingerprint: string
to
{'_data_files': List({'filename': Value('string')}), '_fingerprint': Value('string'), '_format_columns': Value('null'), '_format_kwargs': {}, '_format_type': Value('null'), '_output_all_columns': Value('bool'), '_split': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 544, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              split: string
              n: int64
              n_db: int64
              prompts_sha256: string
              source: string
              variant: string
              _split: string
              _format_kwargs: struct<>
              _output_all_columns: bool
              _data_files: list<item: struct<filename: string>>
                child 0, item: struct<filename: string>
                    child 0, filename: string
              _format_type: null
              _format_columns: null
              _fingerprint: string
              to
              {'_data_files': List({'filename': Value('string')}), '_fingerprint': Value('string'), '_format_columns': Value('null'), '_format_kwargs': {}, '_format_type': Value('null'), '_output_all_columns': Value('bool'), '_split': Value('string')}
              because column names don't match

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CoRE-DB evaluation prompts

Inputs of the evaluation of Small Language Models for Text-to-SQL against Spurious Correctness (HF datasets save_to_disk folders; load with datasets.load_from_disk).

folder	content
`bird_dev/`	BIRD dev, 1,534 prompts (schema-linked FINER-SQL format)
`spider_dev/`	Spider dev, 1,034 prompts (schema-linked FINER-SQL format)
`spider_dev_full_schema/`, `spider_test_full_schema/`	Spider dev / test (2,147) prompts over the full schema
`spider_dev_root/`, `spider_test_root/`	`tables.json` and gold SQL for the official / test-suite evaluators

Databases are not included: download BIRD and Spider from their official sites.

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