Datasets:

---

znyd

/

EduCutBench

like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
i31yX84EgPE: list<item: list<item: int64>>
M_rIWVO14tA: list<item: list<item: int64>>
ZujpN1B9bz0: list<item: list<item: int64>>
OMGPvW8TBHc: list<item: list<item: int64>>
YYNXFsUutbM: list<item: list<item: int64>>
ES6W4_bXvro: list<item: list<item: int64>>
ugzN7W7q2Gk: list<item: list<item: int64>>
HwiaWygjups: list<item: list<item: int64>>
YA1OdkiHJBY: list<item: list<item: int64>>
ig0QZxtj3j8: list<item: list<item: int64>>
3PL2DxXv5u0: list<item: list<item: int64>>
jxrGodnopHo: list<item: list<item: int64>>
wxBG5Ei7a_w: list<item: list<item: int64>>
r_O-UjZZ744: list<item: list<item: int64>>
yD1Y1chp5R4: list<item: list<item: int64>>
DlWTTrHa8bI: list<item: list<item: int64>>
SKZn2DBQuHs: list<item: list<item: int64>>
9t2odwJiHOw: list<item: list<item: int64>>
iLCT0i-lCsw: list<item: list<item: int64>>
LdPAkUXKBGI: list<item: list<item: int64>>
vs
i31yX84EgPE: list<item: string>
M_rIWVO14tA: list<item: string>
ZujpN1B9bz0: list<item: string>
OMGPvW8TBHc: list<item: string>
YYNXFsUutbM: list<item: string>
ES6W4_bXvro: list<item: string>
ugzN7W7q2Gk: list<item: string>
HwiaWygjups: list<item: string>
YA1OdkiHJBY: list<item: string>
ig0QZxtj3j8: list<item: string>
3PL2DxXv5u0: list<item: string>
jxrGodnopHo: list<item: string>
wxBG5Ei7a_w: list<item: string>
r_O-UjZZ744: list<item: string>
yD1Y1chp5R4: list<item: string>
DlWTTrHa8bI: list<item: string>
SKZn2DBQuHs: list<item: string>
9t2odwJiHOw: list<item: string>
iLCT0i-lCsw: list<item: string>
LdPAkUXKBGI: list<item: string>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 604, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              i31yX84EgPE: list<item: list<item: int64>>
              M_rIWVO14tA: list<item: list<item: int64>>
              ZujpN1B9bz0: list<item: list<item: int64>>
              OMGPvW8TBHc: list<item: list<item: int64>>
              YYNXFsUutbM: list<item: list<item: int64>>
              ES6W4_bXvro: list<item: list<item: int64>>
              ugzN7W7q2Gk: list<item: list<item: int64>>
              HwiaWygjups: list<item: list<item: int64>>
              YA1OdkiHJBY: list<item: list<item: int64>>
              ig0QZxtj3j8: list<item: list<item: int64>>
              3PL2DxXv5u0: list<item: list<item: int64>>
              jxrGodnopHo: list<item: list<item: int64>>
              wxBG5Ei7a_w: list<item: list<item: int64>>
              r_O-UjZZ744: list<item: list<item: int64>>
              yD1Y1chp5R4: list<item: list<item: int64>>
              DlWTTrHa8bI: list<item: list<item: int64>>
              SKZn2DBQuHs: list<item: list<item: int64>>
              9t2odwJiHOw: list<item: list<item: int64>>
              iLCT0i-lCsw: list<item: list<item: int64>>
              LdPAkUXKBGI: list<item: list<item: int64>>
              vs
              i31yX84EgPE: list<item: string>
              M_rIWVO14tA: list<item: string>
              ZujpN1B9bz0: list<item: string>
              OMGPvW8TBHc: list<item: string>
              YYNXFsUutbM: list<item: string>
              ES6W4_bXvro: list<item: string>
              ugzN7W7q2Gk: list<item: string>
              HwiaWygjups: list<item: string>
              YA1OdkiHJBY: list<item: string>
              ig0QZxtj3j8: list<item: string>
              3PL2DxXv5u0: list<item: string>
              jxrGodnopHo: list<item: string>
              wxBG5Ei7a_w: list<item: string>
              r_O-UjZZ744: list<item: string>
              yD1Y1chp5R4: list<item: string>
              DlWTTrHa8bI: list<item: string>
              SKZn2DBQuHs: list<item: string>
              9t2odwJiHOw: list<item: string>
              iLCT0i-lCsw: list<item: string>
              LdPAkUXKBGI: list<item: string>