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
corpus_tag: string
energy_quarantine_reason: string
energy_quarantined: bool
excluded_from_published_tables: bool
exclusion_reason: string
finished_at: string
measurement_count: int64
partial_reasons: list<item: string>
child 0, item: string
published_artifact_cited: bool
raw_artifact: string
repeat_quarantine_reason: string
repeat_quarantined: bool
result_rows: int64
run_id: string
started_at: string
status: string
target: string
task: string
telemetry_partial: bool
telemetry_partial_sources: list<item: string>
child 0, item: string
telemetry_rows: int64
warmup_count: int64
row_counts: struct<failures: int64, results: int64, runs: int64, targets: int64, tasks: int64, telemetry_samples (... 8 chars omitted)
child 0, failures: int64
child 1, results: int64
child 2, runs: int64
child 3, targets: int64
child 4, tasks: int64
child 5, telemetry_samples: int64
published_run_ids_cited: int64
source_sha256: string
full_db_runs_included: int64
cited_artifacts: list<item: string>
child 0, item: string
published_run_ids_resolved: int64
files: struct<p3_mcu_matrix.sanitized.sqlite: struct<sha256: string>, run_index.csv: struct<sha256: string> (... 41 chars omitted)
child 0, p3_mcu_matrix.sanitized.sqlite: struct<sha256: string>
child 0, sha256: string
child 1, run_index.csv: struct<sha256: string>
child 0, sha256: string
child 2, run_index.json: struct<sha256: string>
child 0, sha256: string
schema_version: int64
created_at: string
source: string
to
{'cited_artifacts': List(Value('string')), 'created_at': Value('string'), 'files': {'p3_mcu_matrix.sanitized.sqlite': {'sha256': Value('string')}, 'run_index.csv': {'sha256': Value('string')}, 'run_index.json': {'sha256': Value('string')}}, 'full_db_runs_included': Value('int64'), 'published_run_ids_cited': Value('int64'), 'published_run_ids_resolved': Value('int64'), 'row_counts': {'failures': Value('int64'), 'results': Value('int64'), 'runs': Value('int64'), 'targets': Value('int64'), 'tasks': Value('int64'), 'telemetry_samples': Value('int64')}, 'schema_version': Value('int64'), 'source': Value('string'), 'source_sha256': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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
corpus_tag: string
energy_quarantine_reason: string
energy_quarantined: bool
excluded_from_published_tables: bool
exclusion_reason: string
finished_at: string
measurement_count: int64
partial_reasons: list<item: string>
child 0, item: string
published_artifact_cited: bool
raw_artifact: string
repeat_quarantine_reason: string
repeat_quarantined: bool
result_rows: int64
run_id: string
started_at: string
status: string
target: string
task: string
telemetry_partial: bool
telemetry_partial_sources: list<item: string>
child 0, item: string
telemetry_rows: int64
warmup_count: int64
row_counts: struct<failures: int64, results: int64, runs: int64, targets: int64, tasks: int64, telemetry_samples (... 8 chars omitted)
child 0, failures: int64
child 1, results: int64
child 2, runs: int64
child 3, targets: int64
child 4, tasks: int64
child 5, telemetry_samples: int64
published_run_ids_cited: int64
source_sha256: string
full_db_runs_included: int64
cited_artifacts: list<item: string>
child 0, item: string
published_run_ids_resolved: int64
files: struct<p3_mcu_matrix.sanitized.sqlite: struct<sha256: string>, run_index.csv: struct<sha256: string> (... 41 chars omitted)
child 0, p3_mcu_matrix.sanitized.sqlite: struct<sha256: string>
child 0, sha256: string
child 1, run_index.csv: struct<sha256: string>
child 0, sha256: string
child 2, run_index.json: struct<sha256: string>
child 0, sha256: string
schema_version: int64
created_at: string
source: string
to
{'cited_artifacts': List(Value('string')), 'created_at': Value('string'), 'files': {'p3_mcu_matrix.sanitized.sqlite': {'sha256': Value('string')}, 'run_index.csv': {'sha256': Value('string')}, 'run_index.json': {'sha256': Value('string')}}, 'full_db_runs_included': Value('int64'), 'published_run_ids_cited': Value('int64'), 'published_run_ids_resolved': Value('int64'), 'row_counts': {'failures': Value('int64'), 'results': Value('int64'), 'runs': Value('int64'), 'targets': Value('int64'), 'tasks': Value('int64'), 'telemetry_samples': Value('int64')}, 'schema_version': Value('int64'), 'source': Value('string'), 'source_sha256': 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.
Signal Bench Post 1 MCU Telemetry
This dataset publishes Dan Brown's raw launch-tier measurement telemetry for the Post 1 TinyML MCU matrix in Signal Bench. It is measurement data produced by the bench, not the third-party benchmark input datasets used by KWS, IC, or AD.
Inventory
p3_mcu_matrix.sanitized.sqlite: sanitized SQLite database copied from the Post 1 source database, with all run rows, per-inference result rows, and telemetry samples.run_index.csvandrun_index.json: lookup table from run ID to task, board, telemetry row counts, raw artifact, and exclusion/quarantine flags.manifest.json: checksums, row counts, and source artifact references.
The bundle includes the full Post 1 database contents: 58
runs, 72778 result rows, and
72918 telemetry samples. The
48 run IDs cited by the launch artifacts are
all present. Quarantined, superseded, rejected, and telemetry-partial rows are
retained for provenance and flagged in the run index rather than omitted.
Measurement Boundary
Post 1 MCU energy uses the board-side INA219 as the authoritative power source. The INA219 is wired high-side at the board 5 V input, upstream of the board regulators. FNB58 wall-side measurements are retained as cross-check telemetry. Ambient BME280 samples are included when captured.
SQLite Tables
runs: one benchmark run, including task, target, warmup count, measured count, corpus tag, telemetry-partial flags, and sanitized run metadata.results: per-inference latency, accuracy, and per-inference energy fields.telemetry_samples: timestamped meter and ambient samples keyed by run ID.targetsandtasks: board and benchmark-task metadata.
Local filesystem paths and machine-layout details were sanitized from the published copy. The measurements, timestamps, task/target labels, result rows, telemetry samples, and quarantine flags are preserved.
Exclusions
Rows excluded from published tables are still present. See
excluded_from_published_tables and exclusion_reason in run_index.csv or
run_index.json. Reasons include telemetry-partial windows, pre-discipline power
boundaries, superseded repeat sets, and rejected diagnostic attempts.
License
The telemetry in this dataset is licensed Apache-2.0. This license covers Dan Brown's measurement telemetry and generated provenance files in this bundle. It does not relicense third-party benchmark input datasets or model training corpora.
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