Datasets:

---

Kgshop

/

Testai

like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
products: list<item: struct<product_id: string, name: string, price: double, description: string, category: string, photos: list<item: string>, colors: list<item: null>, in_stock: bool, is_top: bool>>
categories: list<item: string>
orders: struct<20250722030255-4a9515: struct<id: string, created_at: timestamp[s], cart: list<item: struct<product_id: string, name: string, price: double, quantity: int64, color: string, photo: string, photo_url: string>>, total_price: double, user_info: null, status: string>, 20250722044039-62142d: struct<id: string, created_at: timestamp[s], cart: list<item: struct<product_id: string, name: string, price: double, quantity: int64, color: string, photo: string, photo_url: string>>, total_price: double, user_info: null, status: string>, 20250722140856-51810f: struct<id: string, created_at: timestamp[s], cart: list<item: struct<product_id: string, name: string, price: double, quantity: int64, color: string, photo: string, photo_url: string>>, total_price: double, user_info: null, status: string>>
organization_info: struct<about_us: string, shipping: string, returns: string, contact: string>
vs
name: string
width: int64
height: int64
heights: list<item: double>
colors: list<item: double>
foliage: struct<grass: list<item: double>>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, 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 3422, 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 2187, 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 2391, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, 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 1904, 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 527, 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: 
              products: list<item: struct<product_id: string, name: string, price: double, description: string, category: string, photos: list<item: string>, colors: list<item: null>, in_stock: bool, is_top: bool>>
              categories: list<item: string>
              orders: struct<20250722030255-4a9515: struct<id: string, created_at: timestamp[s], cart: list<item: struct<product_id: string, name: string, price: double, quantity: int64, color: string, photo: string, photo_url: string>>, total_price: double, user_info: null, status: string>, 20250722044039-62142d: struct<id: string, created_at: timestamp[s], cart: list<item: struct<product_id: string, name: string, price: double, quantity: int64, color: string, photo: string, photo_url: string>>, total_price: double, user_info: null, status: string>, 20250722140856-51810f: struct<id: string, created_at: timestamp[s], cart: list<item: struct<product_id: string, name: string, price: double, quantity: int64, color: string, photo: string, photo_url: string>>, total_price: double, user_info: null, status: string>>
              organization_info: struct<about_us: string, shipping: string, returns: string, contact: string>
              vs
              name: string
              width: int64
              height: int64
              heights: list<item: double>
              colors: list<item: double>
              foliage: struct<grass: list<item: double>>