Datasets:

---

dynamicfeed

/

ai-model-pricing-daily

like 1

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
_meta: bool
dataset: string
snapshot_date: timestamp[s]
exported_at: timestamp[s]
api: string
homepage: string
signature: struct<alg: string, key_id: string, canonicalization: string, sig: string>
  child 0, alg: string
  child 1, key_id: string
  child 2, canonicalization: string
  child 3, sig: string
signature_key_id: string
signature_note: string
response_sha256: string
errors: list<item: null>
  child 0, item: null
tool: string
args: struct<limit: int64>
  child 0, limit: int64
upstream_source: string
upstream_url: string
licence: string
row_count: int64
id: int64
provider: string
model_id: string
display_name: string
input_per_1m: double
output_per_1m: double
cached_input_per_1m: double
context_window: int64
max_output_tokens: int64
modalities: string
supports_tools: bool
supports_vision: bool
knowledge_cutoff: null
status: string
source_url: string
updated_at: string
first_seen: string
measured_at: string
retrieved_at: timestamp[s]
compiled_by: string
to
{'_meta': Value('bool'), 'dataset': Value('string'), 'snapshot_date': Value('timestamp[s]'), 'exported_at': Value('timestamp[s]'), 'api': Value('string'), 'homepage': Value('string'), 'signature': {'alg': Value('string'), 'key_id': Value('string'), 'canonicalization': Value('string'), 'sig': Value('string')}, 'signature_key_id': Value('string'), 'signature_note': Value('string'), 'response_sha256': Value('string'), 'errors': List(Value('null')), 'tool': Value('string'), 'args': {'limit': Value('int64')}, 'upstream_source': Value('string'), 'upstream_url': Value('string'), 'licence': Value('string'), 'row_count': Value('int64'), 'id': Value('int64'), 'provider': Value('string'), 'model_id': Value('string'), 'display_name': Value('string'), 'input_per_1m': Value('float64'), 'output_per_1m': Value('float64'), 'cached_input_per_1m': Value('float64'), 'context_window': Value('int64'), 'max_output_tokens': Value('int64'), 'modalities': Value('string'), 'supports_tools': Value('bool'), 'supports_vision': Value('bool'), 'knowledge_cutoff': Value('null'), 'status': Value('string'), 'source_url': Value('string'), 'updated_at': Value('string'), 'measured_at': Value('string'), 'retrieved_at': Value('timestamp[s]'), 'compiled_by': Value('string')}
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
              _meta: bool
              dataset: string
              snapshot_date: timestamp[s]
              exported_at: timestamp[s]
              api: string
              homepage: string
              signature: struct<alg: string, key_id: string, canonicalization: string, sig: string>
                child 0, alg: string
                child 1, key_id: string
                child 2, canonicalization: string
                child 3, sig: string
              signature_key_id: string
              signature_note: string
              response_sha256: string
              errors: list<item: null>
                child 0, item: null
              tool: string
              args: struct<limit: int64>
                child 0, limit: int64
              upstream_source: string
              upstream_url: string
              licence: string
              row_count: int64
              id: int64
              provider: string
              model_id: string
              display_name: string
              input_per_1m: double
              output_per_1m: double
              cached_input_per_1m: double
              context_window: int64
              max_output_tokens: int64
              modalities: string
              supports_tools: bool
              supports_vision: bool
              knowledge_cutoff: null
              status: string
              source_url: string
              updated_at: string
              first_seen: string
              measured_at: string
              retrieved_at: timestamp[s]
              compiled_by: string
              to
              {'_meta': Value('bool'), 'dataset': Value('string'), 'snapshot_date': Value('timestamp[s]'), 'exported_at': Value('timestamp[s]'), 'api': Value('string'), 'homepage': Value('string'), 'signature': {'alg': Value('string'), 'key_id': Value('string'), 'canonicalization': Value('string'), 'sig': Value('string')}, 'signature_key_id': Value('string'), 'signature_note': Value('string'), 'response_sha256': Value('string'), 'errors': List(Value('null')), 'tool': Value('string'), 'args': {'limit': Value('int64')}, 'upstream_source': Value('string'), 'upstream_url': Value('string'), 'licence': Value('string'), 'row_count': Value('int64'), 'id': Value('int64'), 'provider': Value('string'), 'model_id': Value('string'), 'display_name': Value('string'), 'input_per_1m': Value('float64'), 'output_per_1m': Value('float64'), 'cached_input_per_1m': Value('float64'), 'context_window': Value('int64'), 'max_output_tokens': Value('int64'), 'modalities': Value('string'), 'supports_tools': Value('bool'), 'supports_vision': Value('bool'), 'knowledge_cutoff': Value('null'), 'status': Value('string'), 'source_url': Value('string'), 'updated_at': Value('string'), 'measured_at': Value('string'), 'retrieved_at': Value('timestamp[s]'), 'compiled_by': Value('string')}
              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