Datasets:

---

rangell

/

wildchat-raw-shards-rico

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
conversation_hash: string
model: string
timestamp: timestamp[s]
turn: int64
language: string
toxic: bool
redacted: bool
state: string
country: string
hashed_ip: string
header: null
query: string
description_label_model: string
description: string
intention_label_model: string
raw_output: string
categories: list<item: string>
  child 0, item: string
finish_reason: string
sample_idx: int64
response: string
thinking: string
response_finish_reason: string
top_p: double
n_queries: int64
temperature: double
model_key: string
n_responses: int64
model_id: string
tensor_parallel_size: int64
created_at: string
eval_shards: list<item: string>
  child 0, item: string
seed: int64
concurrency: int64
max_model_len: int64
max_new_tokens: int64
to
{'created_at': Value('string'), 'model_key': Value('string'), 'model_id': Value('string'), 'max_new_tokens': Value('int64'), 'temperature': Value('float64'), 'top_p': Value('float64'), 'concurrency': Value('int64'), 'tensor_parallel_size': Value('int64'), 'max_model_len': Value('int64'), 'thinking': Value('bool'), 'seed': Value('int64'), 'n_queries': Value('int64'), 'n_responses': Value('int64'), 'eval_shards': List(Value('string'))}
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 295, 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 128, 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 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              conversation_hash: string
              model: string
              timestamp: timestamp[s]
              turn: int64
              language: string
              toxic: bool
              redacted: bool
              state: string
              country: string
              hashed_ip: string
              header: null
              query: string
              description_label_model: string
              description: string
              intention_label_model: string
              raw_output: string
              categories: list<item: string>
                child 0, item: string
              finish_reason: string
              sample_idx: int64
              response: string
              thinking: string
              response_finish_reason: string
              top_p: double
              n_queries: int64
              temperature: double
              model_key: string
              n_responses: int64
              model_id: string
              tensor_parallel_size: int64
              created_at: string
              eval_shards: list<item: string>
                child 0, item: string
              seed: int64
              concurrency: int64
              max_model_len: int64
              max_new_tokens: int64
              to
              {'created_at': Value('string'), 'model_key': Value('string'), 'model_id': Value('string'), 'max_new_tokens': Value('int64'), 'temperature': Value('float64'), 'top_p': Value('float64'), 'concurrency': Value('int64'), 'tensor_parallel_size': Value('int64'), 'max_model_len': Value('int64'), 'thinking': Value('bool'), 'seed': Value('int64'), 'n_queries': Value('int64'), 'n_responses': Value('int64'), 'eval_shards': List(Value('string'))}
              because column names don't match