Datasets:

bobleesj
/

quantem-data

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 3 was different: 
_placeholder: bool
technique: string
vs
schema_version: string
name: string
technique: string
description: string
data: struct<shape: list<item: int64>, dtype: string>
instrument: struct<microscope: string, detector: string>
processing: struct<source: string, method: string>
attribution: struct<contributor: string, license: string, date: timestamp[s]>
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 572, 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: 
              _placeholder: bool
              technique: string
              vs
              schema_version: string
              name: string
              technique: string
              description: string
              data: struct<shape: list<item: int64>, dtype: string>
              instrument: struct<microscope: string, detector: string>
              processing: struct<source: string, method: string>
              attribution: struct<contributor: string, license: string, date: timestamp[s]>

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.

quantem-data

Real electron microscopy datasets for quantem.widget and quantem.

Install

pip install quantem-data

Quick Start

from quantem.data import load
from quantem.widget import Show4DSTEM, Show2D

# 4D-STEM dataset (9 MB, cached locally)
Show4DSTEM(load("srtio3_lamella"), scan_shape=(32, 32))

# Bright-field image
Show2D(load("srtio3_bf"))

Folder Structure

Folder	Data type	quantem.widget
`4dstem/`	4D-STEM diffraction	Show4DSTEM, Show4D
`hrtem/`	High-resolution TEM	Show2D, Mark2D
`eels/`	Electron energy loss	Show1D
`tomo/`	Tomography	Show3DVolume
`diffraction/`	Diffraction patterns	Show2D
`image/`	Virtual/derived images	Show2D, Mark2D
`complex/`	Ptychography	ShowComplex2D
`raw/`	Original instrument files	—

Metadata

Every .npy file has a paired .json sidecar with structured metadata (schema, shape, attribution, calibration).

Contributing

Upload via Python API or CLI. See quantem.data docs.

Downloads last month: 19