Datasets:

---

Yuyang-z

/

reconfusion-torch

like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
vase/118_13872_29491: string
hydrant/147_16374_32167: string
suitcase/247_26503_52258: string
cake/201_21573_40063: string
donut/198_21296_42378: string
suitcase/197_21239_42788: string
bench/167_18175_33897: string
cake/201_21631_44304: string
ball/123_14352_28341: string
teddybear/159_17485_33236: string
plant/188_20319_36755: string
teddybear/118_13848_27594: string
vase/101_11754_20739: string
apple/12_104_640: string
apple/110_13051_23361: string
plant/188_20360_39345: string
bench/185_19987_38634: string
ball/113_13374_24686: string
donut/290_30761_58510: string
hydrant/134_15451_31119: string
vs
scan8_train: string
scan31_train: string
scan38_train: string
scan40_train: string
scan30_train: string
scan55_train: string
scan34_train: string
scan110_train: string
scan63_train: string
scan114_train: string
scan82_train: string
scan45_train: string
scan103_train: string
scan41_train: string
scan21_train: string
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 231, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3335, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2096, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2296, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1878, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 504, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches
                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: 
              vase/118_13872_29491: string
              hydrant/147_16374_32167: string
              suitcase/247_26503_52258: string
              cake/201_21573_40063: string
              donut/198_21296_42378: string
              suitcase/197_21239_42788: string
              bench/167_18175_33897: string
              cake/201_21631_44304: string
              ball/123_14352_28341: string
              teddybear/159_17485_33236: string
              plant/188_20319_36755: string
              teddybear/118_13848_27594: string
              vase/101_11754_20739: string
              apple/12_104_640: string
              apple/110_13051_23361: string
              plant/188_20360_39345: string
              bench/185_19987_38634: string
              ball/113_13374_24686: string
              donut/290_30761_58510: string
              hydrant/134_15451_31119: string
              vs
              scan8_train: string
              scan31_train: string
              scan38_train: string
              scan40_train: string
              scan30_train: string
              scan55_train: string
              scan34_train: string
              scan110_train: string
              scan63_train: string
              scan114_train: string
              scan82_train: string
              scan45_train: string
              scan103_train: string
              scan41_train: string
              scan21_train: string