Datasets:

auto-cap
/

requests

License:

Dataset Viewer

Duplicate

Split (1)

test

The dataset viewer is not available for this split.

Cannot extract the features (columns) for the split 'test' of the config 'default' of the dataset.

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 3 was different: 
model: string
base_model: string
revision: string
private: bool
precision: string
weight_type: string
status: string
submitted_time: timestamp[s]
model_type: string
likes: int64
params: int64
license: string
inference_framework: string
gpu_type: string
vs
model: string
base_model: string
revision: string
private: bool
precision: string
weight_type: string
status: string
submitted_time: timestamp[s]
model_type: string
likes: int64
params: double
license: string
inference_framework: string
gpu_type: string
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 237, 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 3496, 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 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 531, 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 3 was different: 
              model: string
              base_model: string
              revision: string
              private: bool
              precision: string
              weight_type: string
              status: string
              submitted_time: timestamp[s]
              model_type: string
              likes: int64
              params: int64
              license: string
              inference_framework: string
              gpu_type: string
              vs
              model: string
              base_model: string
              revision: string
              private: bool
              precision: string
              weight_type: string
              status: string
              submitted_time: timestamp[s]
              model_type: string
              likes: int64
              params: double
              license: string
              inference_framework: string
              gpu_type: string

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

README.md exists but content is empty.

Downloads last month: 4

Space using auto-cap/requests 1

Error code: FeaturesError Exception: ArrowInvalid Message: Schema at index 3 was different: model: string base_model: string revision: string private: bool precision: string weight_type: string status: string submitted_time: timestamp[s] model_type: string likes: int64 params: int64 license: string inference_framework: string gpu_type: string vs model: string base_model: string revision: string private: bool precision: string weight_type: string status: string submitted_time: timestamp[s] model_type: string likes: int64 params: double license: string inference_framework: string gpu_type: string Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 237, 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 3496, 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 2257, in _head return next(iter(self.iter(batch_size=n))) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter for key, example in iterator: ^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__ for key, pa_table in self._iter_arrow(): ^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow yield from self.ex_iterable._iter_arrow() File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 531, 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 3 was different: model: string base_model: string revision: string private: bool precision: string weight_type: string status: string submitted_time: timestamp[s] model_type: string likes: int64 params: int64 license: string inference_framework: string gpu_type: string vs model: string base_model: string revision: string private: bool precision: string weight_type: string status: string submitted_time: timestamp[s] model_type: string likes: int64 params: double license: string inference_framework: string gpu_type: string