Datasets:
Dataset Viewer
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
displayTimeUnit: string
metadata: struct<highres-ticks: bool>
child 0, highres-ticks: bool
traceEvents: list<item: struct<ph: string, pid: int64, name: string, args: struct<name: string, sort_index: int64 (... 476 chars omitted)
child 0, item: struct<ph: string, pid: int64, name: string, args: struct<name: string, sort_index: int64, tf_functi (... 464 chars omitted)
child 0, ph: string
child 1, pid: int64
child 2, name: string
child 3, args: struct<name: string, sort_index: int64, tf_function_call: string, tracing_count: string, group_id: s (... 375 chars omitted)
child 0, name: string
child 1, sort_index: int64
child 2, tf_function_call: string
child 3, tracing_count: string
child 4, group_id: string
child 5, id: string
child 6, is_eager: string
child 7, long_name: string
child 8, iter_num: string
child 9, from: string
child 10, to: string
child 11, element_size: string
child 12, algorithm: string
child 13, cpu_budget: string
child 14, intra_op_parallelism: string
child 15, ram_budget_bytes: string
child 16, shapes: string
child 17, threadpool_size: string
child 18, types: string
child 19, autotune: string
child 20, autotune_mode: string
child 21, buffer_limit: string
child 22, buffer_size: string
child 23, pare
...
Bytes: string, freeMemoryBytes: string, fragmentatio (... 34 chars omitted)
child 0, stackReservedBytes: string
child 1, heapAllocatedBytes: string
child 2, freeMemoryBytes: string
child 3, fragmentation: double
child 4, peakBytesInUse: string
child 2, peakStatsTimePs: string
child 3, memoryCapacity: string
child 2, activeAllocations: list<item: struct<snapshotIndex: string, specialIndex: string, numOccurrences: string>>
child 0, item: struct<snapshotIndex: string, specialIndex: string, numOccurrences: string>
child 0, snapshotIndex: string
child 1, specialIndex: string
child 2, numOccurrences: string
child 3, specialAllocations: list<item: struct<memoryActivity: string, requestedBytes: string, allocationBytes: string, address: (... 101 chars omitted)
child 0, item: struct<memoryActivity: string, requestedBytes: string, allocationBytes: string, address: string, tfO (... 89 chars omitted)
child 0, memoryActivity: string
child 1, requestedBytes: string
child 2, allocationBytes: string
child 3, address: string
child 4, tfOpName: string
child 5, stepId: string
child 6, regionType: string
child 7, dataType: string
child 8, tensorShape: string
memoryIds: list<item: string>
child 0, item: string
to
{'memoryProfilePerAllocator': {'gpu_host_bfc': {'memoryProfileSnapshots': List({'timeOffsetPs': Value('string'), 'aggregationStats': {'stackReservedBytes': Value('string'), 'heapAllocatedBytes': Value('string'), 'freeMemoryBytes': Value('string'), 'fragmentation': Value('float64'), 'peakBytesInUse': Value('string')}, 'activityMetadata': {'memoryActivity': Value('string'), 'requestedBytes': Value('string'), 'allocationBytes': Value('string'), 'address': Value('string'), 'tfOpName': Value('string'), 'stepId': Value('string'), 'regionType': Value('string'), 'dataType': Value('string'), 'tensorShape': Value('string')}}), 'profileSummary': {'peakBytesUsageLifetime': Value('string'), 'peakStats': {'stackReservedBytes': Value('string'), 'heapAllocatedBytes': Value('string'), 'freeMemoryBytes': Value('string'), 'fragmentation': Value('int64'), 'peakBytesInUse': Value('string')}, 'peakStatsTimePs': Value('string'), 'memoryCapacity': Value('string')}, 'activeAllocations': List({'snapshotIndex': Value('string'), 'specialIndex': Value('string'), 'numOccurrences': Value('string')}), 'specialAllocations': List({'memoryActivity': Value('string'), 'requestedBytes': Value('string'), 'allocationBytes': Value('string'), 'address': Value('string'), 'tfOpName': Value('string'), 'stepId': Value('string'), 'regionType': Value('string'), 'dataType': Value('string'), 'tensorShape': Value('string')})}, 'GPU_0_bfc': {'memoryProfileSnapshots': List({'timeOffsetPs': Value('string'), 'aggregationStats': {'stackReservedBytes': Value('string'), 'heapAllocatedBytes': Value('string'), 'freeMemoryBytes': Value('string'), 'fragmentation': Value('float64'), 'peakBytesInUse': Value('string')}, 'activityMetadata': {'memoryActivity': Value('string'), 'requestedBytes': Value('string'), 'allocationBytes': Value('string'), 'address': Value('string'), 'tfOpName': Value('string'), 'stepId': Value('string'), 'regionType': Value('string'), 'dataType': Value('string'), 'tensorShape': Value('string')}}), 'profileSummary': {'peakBytesUsageLifetime': Value('string'), 'peakStats': {'stackReservedBytes': Value('string'), 'heapAllocatedBytes': Value('string'), 'freeMemoryBytes': Value('string'), 'fragmentation': Value('float64'), 'peakBytesInUse': Value('string')}, 'peakStatsTimePs': Value('string'), 'memoryCapacity': Value('string')}, 'activeAllocations': List({'snapshotIndex': Value('string'), 'specialIndex': Value('string'), 'numOccurrences': Value('string')}), 'specialAllocations': List({'memoryActivity': Value('string'), 'requestedBytes': Value('string'), 'allocationBytes': Value('string'), 'address': Value('string'), 'tfOpName': Value('string'), 'stepId': Value('string'), 'regionType': Value('string'), 'dataType': Value('string'), 'tensorShape': Value('string')})}}, 'numHosts': Value('int64'), 'memoryIds': List(Value('string'))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
displayTimeUnit: string
metadata: struct<highres-ticks: bool>
child 0, highres-ticks: bool
traceEvents: list<item: struct<ph: string, pid: int64, name: string, args: struct<name: string, sort_index: int64 (... 476 chars omitted)
child 0, item: struct<ph: string, pid: int64, name: string, args: struct<name: string, sort_index: int64, tf_functi (... 464 chars omitted)
child 0, ph: string
child 1, pid: int64
child 2, name: string
child 3, args: struct<name: string, sort_index: int64, tf_function_call: string, tracing_count: string, group_id: s (... 375 chars omitted)
child 0, name: string
child 1, sort_index: int64
child 2, tf_function_call: string
child 3, tracing_count: string
child 4, group_id: string
child 5, id: string
child 6, is_eager: string
child 7, long_name: string
child 8, iter_num: string
child 9, from: string
child 10, to: string
child 11, element_size: string
child 12, algorithm: string
child 13, cpu_budget: string
child 14, intra_op_parallelism: string
child 15, ram_budget_bytes: string
child 16, shapes: string
child 17, threadpool_size: string
child 18, types: string
child 19, autotune: string
child 20, autotune_mode: string
child 21, buffer_limit: string
child 22, buffer_size: string
child 23, pare
...
Bytes: string, freeMemoryBytes: string, fragmentatio (... 34 chars omitted)
child 0, stackReservedBytes: string
child 1, heapAllocatedBytes: string
child 2, freeMemoryBytes: string
child 3, fragmentation: double
child 4, peakBytesInUse: string
child 2, peakStatsTimePs: string
child 3, memoryCapacity: string
child 2, activeAllocations: list<item: struct<snapshotIndex: string, specialIndex: string, numOccurrences: string>>
child 0, item: struct<snapshotIndex: string, specialIndex: string, numOccurrences: string>
child 0, snapshotIndex: string
child 1, specialIndex: string
child 2, numOccurrences: string
child 3, specialAllocations: list<item: struct<memoryActivity: string, requestedBytes: string, allocationBytes: string, address: (... 101 chars omitted)
child 0, item: struct<memoryActivity: string, requestedBytes: string, allocationBytes: string, address: string, tfO (... 89 chars omitted)
child 0, memoryActivity: string
child 1, requestedBytes: string
child 2, allocationBytes: string
child 3, address: string
child 4, tfOpName: string
child 5, stepId: string
child 6, regionType: string
child 7, dataType: string
child 8, tensorShape: string
memoryIds: list<item: string>
child 0, item: string
to
{'memoryProfilePerAllocator': {'gpu_host_bfc': {'memoryProfileSnapshots': List({'timeOffsetPs': Value('string'), 'aggregationStats': {'stackReservedBytes': Value('string'), 'heapAllocatedBytes': Value('string'), 'freeMemoryBytes': Value('string'), 'fragmentation': Value('float64'), 'peakBytesInUse': Value('string')}, 'activityMetadata': {'memoryActivity': Value('string'), 'requestedBytes': Value('string'), 'allocationBytes': Value('string'), 'address': Value('string'), 'tfOpName': Value('string'), 'stepId': Value('string'), 'regionType': Value('string'), 'dataType': Value('string'), 'tensorShape': Value('string')}}), 'profileSummary': {'peakBytesUsageLifetime': Value('string'), 'peakStats': {'stackReservedBytes': Value('string'), 'heapAllocatedBytes': Value('string'), 'freeMemoryBytes': Value('string'), 'fragmentation': Value('int64'), 'peakBytesInUse': Value('string')}, 'peakStatsTimePs': Value('string'), 'memoryCapacity': Value('string')}, 'activeAllocations': List({'snapshotIndex': Value('string'), 'specialIndex': Value('string'), 'numOccurrences': Value('string')}), 'specialAllocations': List({'memoryActivity': Value('string'), 'requestedBytes': Value('string'), 'allocationBytes': Value('string'), 'address': Value('string'), 'tfOpName': Value('string'), 'stepId': Value('string'), 'regionType': Value('string'), 'dataType': Value('string'), 'tensorShape': Value('string')})}, 'GPU_0_bfc': {'memoryProfileSnapshots': List({'timeOffsetPs': Value('string'), 'aggregationStats': {'stackReservedBytes': Value('string'), 'heapAllocatedBytes': Value('string'), 'freeMemoryBytes': Value('string'), 'fragmentation': Value('float64'), 'peakBytesInUse': Value('string')}, 'activityMetadata': {'memoryActivity': Value('string'), 'requestedBytes': Value('string'), 'allocationBytes': Value('string'), 'address': Value('string'), 'tfOpName': Value('string'), 'stepId': Value('string'), 'regionType': Value('string'), 'dataType': Value('string'), 'tensorShape': Value('string')}}), 'profileSummary': {'peakBytesUsageLifetime': Value('string'), 'peakStats': {'stackReservedBytes': Value('string'), 'heapAllocatedBytes': Value('string'), 'freeMemoryBytes': Value('string'), 'fragmentation': Value('float64'), 'peakBytesInUse': Value('string')}, 'peakStatsTimePs': Value('string'), 'memoryCapacity': Value('string')}, 'activeAllocations': List({'snapshotIndex': Value('string'), 'specialIndex': Value('string'), 'numOccurrences': Value('string')}), 'specialAllocations': List({'memoryActivity': Value('string'), 'requestedBytes': Value('string'), 'allocationBytes': Value('string'), 'address': Value('string'), 'tfOpName': Value('string'), 'stepId': Value('string'), 'regionType': Value('string'), 'dataType': Value('string'), 'tensorShape': Value('string')})}}, 'numHosts': Value('int64'), 'memoryIds': List(Value('string'))}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
MuSS-17M
Layout
| Path | Description |
|---|---|
configs/ |
Shared YAML configs (e.g. COM training). |
exp/ |
Experiment-specific io*.yaml and outputs. |
mouse*/ |
Per-subject data (videos, labels, COM/DANNCE train & predict outputs, etc.). |
Usage
- Clone or download this dataset repo
- Point
io.yaml/com_mouse_config.yaml/ 'dannce_mouse_config.yaml' paths at the downloaded tree (paths are relative to each experiment or mouse folder). - Run DANNCE/COM training or prediction per upstream DANNCE documentation.
License
Released under Creative Commons Attribution 4.0 International (CC BY 4.0)
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