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QRaco
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qraco-fusion-sample

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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
schema_version: string
session_id: string
dataset_name: string
campaign_id: string
protocol_id: string
contributor_code: string
known_activity: string
custom_activity: string
task_outcome: string
environment: string
surface: string
equipment: string
conditions: string
notes: string
started_at_epoch_ms: int64
ended_at_epoch_ms: int64
duration_ms: int64
timezone_id: string
timezone_offset_minutes: int64
locale: string
record_count: int64
data_part_count: int64
integrity_block_count: int64
integrity_chain_head_sha256: string
integrity_block_size_records: int64
dropped_event_count: int64
requested_sampling_mode: string
storage_profile: string
numeric_encoding: string
calibration_window_ms: int64
video_enabled: bool
video_file: null
location_enabled: bool
privacy_note: string
consent_granted: bool
consent_text_version: string
consent_recorded_at_epoch_ms: int64
device_manufacturer: string
device_model: string
device_product: string
device_hardware: string
android_release: string
android_sdk: int64
app_version: string
sensor_descriptors: list<item: struct<type: int64, key: string, name: string, vendor: string, version: int64, resolution (... 139 chars omitted)
  child 0, item: struct<type: int64, key: string, name: string, vendor: string, version: int64, resolution: double, m (... 127 chars omitted)
      child 0, type: int64
      child 1, key: string
      child 2, name: string
      child 3, vendor: string
      child 4, version: int64
      child 5, resolution: double
      chi
...
itted)
      child 0, count: int64
      child 1, measured_hz: double
      child 2, mean_period_ns: double
      child 3, jitter_std_ns: double
      child 4, min_period_ns: int64
      child 5, max_period_ns: int64
      child 6, timestamp_regressions: int64
      child 7, unreliable_accuracy_count: int64
  child 8, user_annotation: struct<count: int64, measured_hz: double, mean_period_ns: int64, jitter_std_ns: int64, min_period_ns (... 94 chars omitted)
      child 0, count: int64
      child 1, measured_hz: double
      child 2, mean_period_ns: int64
      child 3, jitter_std_ns: int64
      child 4, min_period_ns: int64
      child 5, max_period_ns: int64
      child 6, timestamp_regressions: int64
      child 7, unreliable_accuracy_count: int64
initial_calibration_statistics: struct<accelerometer: struct<count: int64, mean: list<item: double>, standard_deviation: list<item:  (... 9 chars omitted)
  child 0, accelerometer: struct<count: int64, mean: list<item: double>, standard_deviation: list<item: double>>
      child 0, count: int64
      child 1, mean: list<item: double>
          child 0, item: double
      child 2, standard_deviation: list<item: double>
          child 0, item: double
files: list<item: struct<name: string, size_bytes: int64, sha256: string>>
  child 0, item: struct<name: string, size_bytes: int64, sha256: string>
      child 0, name: string
      child 1, size_bytes: int64
      child 2, sha256: string
generated_at_epoch_ms: int64
algorithm: string
to
{'algorithm': Value('string'), 'generated_at_epoch_ms': Value('int64'), 'files': List({'name': Value('string'), 'size_bytes': Value('int64'), 'sha256': Value('string')})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              schema_version: string
              session_id: string
              dataset_name: string
              campaign_id: string
              protocol_id: string
              contributor_code: string
              known_activity: string
              custom_activity: string
              task_outcome: string
              environment: string
              surface: string
              equipment: string
              conditions: string
              notes: string
              started_at_epoch_ms: int64
              ended_at_epoch_ms: int64
              duration_ms: int64
              timezone_id: string
              timezone_offset_minutes: int64
              locale: string
              record_count: int64
              data_part_count: int64
              integrity_block_count: int64
              integrity_chain_head_sha256: string
              integrity_block_size_records: int64
              dropped_event_count: int64
              requested_sampling_mode: string
              storage_profile: string
              numeric_encoding: string
              calibration_window_ms: int64
              video_enabled: bool
              video_file: null
              location_enabled: bool
              privacy_note: string
              consent_granted: bool
              consent_text_version: string
              consent_recorded_at_epoch_ms: int64
              device_manufacturer: string
              device_model: string
              device_product: string
              device_hardware: string
              android_release: string
              android_sdk: int64
              app_version: string
              sensor_descriptors: list<item: struct<type: int64, key: string, name: string, vendor: string, version: int64, resolution (... 139 chars omitted)
                child 0, item: struct<type: int64, key: string, name: string, vendor: string, version: int64, resolution: double, m (... 127 chars omitted)
                    child 0, type: int64
                    child 1, key: string
                    child 2, name: string
                    child 3, vendor: string
                    child 4, version: int64
                    child 5, resolution: double
                    chi
              ...
              itted)
                    child 0, count: int64
                    child 1, measured_hz: double
                    child 2, mean_period_ns: double
                    child 3, jitter_std_ns: double
                    child 4, min_period_ns: int64
                    child 5, max_period_ns: int64
                    child 6, timestamp_regressions: int64
                    child 7, unreliable_accuracy_count: int64
                child 8, user_annotation: struct<count: int64, measured_hz: double, mean_period_ns: int64, jitter_std_ns: int64, min_period_ns (... 94 chars omitted)
                    child 0, count: int64
                    child 1, measured_hz: double
                    child 2, mean_period_ns: int64
                    child 3, jitter_std_ns: int64
                    child 4, min_period_ns: int64
                    child 5, max_period_ns: int64
                    child 6, timestamp_regressions: int64
                    child 7, unreliable_accuracy_count: int64
              initial_calibration_statistics: struct<accelerometer: struct<count: int64, mean: list<item: double>, standard_deviation: list<item:  (... 9 chars omitted)
                child 0, accelerometer: struct<count: int64, mean: list<item: double>, standard_deviation: list<item: double>>
                    child 0, count: int64
                    child 1, mean: list<item: double>
                        child 0, item: double
                    child 2, standard_deviation: list<item: double>
                        child 0, item: double
              files: list<item: struct<name: string, size_bytes: int64, sha256: string>>
                child 0, item: struct<name: string, size_bytes: int64, sha256: string>
                    child 0, name: string
                    child 1, size_bytes: int64
                    child 2, sha256: string
              generated_at_epoch_ms: int64
              algorithm: string
              to
              {'algorithm': Value('string'), 'generated_at_epoch_ms': Value('int64'), 'files': List({'name': Value('string'), 'size_bytes': Value('int64'), 'sha256': Value('string')})}
              because column names don't match
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QRaco Fusion Sample

Public sample dataset for motion, gesture, and sensor-fusion research.
This repository contains a compact Android sensor sample captured from a real device and is intended to demonstrate the structure, format, and quality of the full QRaco Fusion package.
Included files

records_part_001.jsonl.gz
metadata.json
schema.json
README.txt
integrity.json
Intended use

research
evaluation
preview
ML pipeline prototyping
Notes

This is a sample dataset, not the full commercial package.
The full QRaco Fusion package is available separately.
Sensors represented in the sample may include accelerometer, gyroscope, magnetometer, light, proximity, and battery temperature, depending on the session.
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Total file size:
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