Datasets:

Scan2s
/

opportunity-s2s-certified

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 7 new columns ({'scale', 'rejected', 'sensor', 'bronze', 'tier_summary', 'gold', 'silver'}) and 6 missing columns ({'silver_count', 'detected_hz', 'rejected_count', 'gold_count', 'bronze_count', 'tier'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Scan2s/opportunity-s2s-certified/opportunity_rua_certified.csv (at revision 4c253b6fdb92f13bb2fbae8cf494f4e3d91e1fa8), [/tmp/hf-datasets-cache/medium/datasets/61911773500828-config-parquet-and-info-Scan2s-opportunity-s2s-ce-1f5f4188/hub/datasets--Scan2s--opportunity-s2s-certified/snapshots/4c253b6fdb92f13bb2fbae8cf494f4e3d91e1fa8/opportunity_certified.csv (origin=hf://datasets/Scan2s/opportunity-s2s-certified@4c253b6fdb92f13bb2fbae8cf494f4e3d91e1fa8/opportunity_certified.csv), /tmp/hf-datasets-cache/medium/datasets/61911773500828-config-parquet-and-info-Scan2s-opportunity-s2s-ce-1f5f4188/hub/datasets--Scan2s--opportunity-s2s-certified/snapshots/4c253b6fdb92f13bb2fbae8cf494f4e3d91e1fa8/opportunity_rua_certified.csv (origin=hf://datasets/Scan2s/opportunity-s2s-certified@4c253b6fdb92f13bb2fbae8cf494f4e3d91e1fa8/opportunity_rua_certified.csv)]

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._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
              subject: string
              activity: string
              file: string
              total_windows: int64
              pass_rate: double
              mean_score: double
              tier_summary: string
              gold: int64
              silver: int64
              bronze: int64
              rejected: int64
              sensor: string
              accel_cols: string
              gyro_cols: string
              scale: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1981
              to
              {'subject': Value('string'), 'activity': Value('string'), 'file': Value('string'), 'tier': Value('string'), 'pass_rate': Value('float64'), 'mean_score': Value('float64'), 'total_windows': Value('int64'), 'detected_hz': Value('float64'), 'gold_count': Value('int64'), 'silver_count': Value('int64'), 'bronze_count': Value('int64'), 'rejected_count': Value('int64'), 'accel_cols': Value('string'), 'gyro_cols': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1802, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 7 new columns ({'scale', 'rejected', 'sensor', 'bronze', 'tier_summary', 'gold', 'silver'}) and 6 missing columns ({'silver_count', 'detected_hz', 'rejected_count', 'gold_count', 'bronze_count', 'tier'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Scan2s/opportunity-s2s-certified/opportunity_rua_certified.csv (at revision 4c253b6fdb92f13bb2fbae8cf494f4e3d91e1fa8), [/tmp/hf-datasets-cache/medium/datasets/61911773500828-config-parquet-and-info-Scan2s-opportunity-s2s-ce-1f5f4188/hub/datasets--Scan2s--opportunity-s2s-certified/snapshots/4c253b6fdb92f13bb2fbae8cf494f4e3d91e1fa8/opportunity_certified.csv (origin=hf://datasets/Scan2s/opportunity-s2s-certified@4c253b6fdb92f13bb2fbae8cf494f4e3d91e1fa8/opportunity_certified.csv), /tmp/hf-datasets-cache/medium/datasets/61911773500828-config-parquet-and-info-Scan2s-opportunity-s2s-ce-1f5f4188/hub/datasets--Scan2s--opportunity-s2s-certified/snapshots/4c253b6fdb92f13bb2fbae8cf494f4e3d91e1fa8/opportunity_rua_certified.csv (origin=hf://datasets/Scan2s/opportunity-s2s-certified@4c253b6fdb92f13bb2fbae8cf494f4e3d91e1fa8/opportunity_rua_certified.csv)]
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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.

subject string	activity string	file string	tier string	pass_rate float64	mean_score float64	total_windows int64	detected_hz float64	gold_count int64	silver_count int64	bronze_count int64	rejected_count int64	accel_cols string	gyro_cols string
S1	ADL1	S1-ADL1	SILVER	0.929	58.6	99	30.3	0	88	4	7	[2, 5, 17]	[1, 16, 39]
S1	ADL2	S1-ADL2	SILVER	0.878	55.5	90	30.3	0	62	17	11	[2, 5, 8]	[6, 16, 42]
S1	ADL3	S1-ADL3	SILVER	0.956	58	91	30.3	0	81	6	4	[2, 5, 8]	[6, 16, 21]
S1	ADL4	S1-ADL4	SILVER	0.936	57.9	94	30.3	0	81	7	6	[2, 5, 8]	[6, 16, 21]
S1	ADL5	S1-ADL5	SILVER	0.945	57.9	91	30.3	0	78	8	5	[2, 5, 17]	[1, 16, 21]
S1	Drill	S1-Drill	SILVER	0.958	58.5	95	30.3	0	90	1	4	[2, 5, 17]	[3, 16, 21]
S2	ADL1	S2-ADL1	SILVER	0.947	59.3	94	30.3	1	83	5	5	[2, 5, 8]	[1, 3, 4]
S2	ADL2	S2-ADL2	SILVER	0.929	59.3	98	30.3	5	68	18	7	[2, 5, 20]	[1, 4, 22]
S2	ADL3	S2-ADL3	SILVER	0.939	57.9	98	30.3	0	80	12	6	[2, 5, 8]	[1, 4, 6]
S2	ADL4	S2-ADL4	SILVER	0.857	57.4	98	30.3	0	74	10	14	[2, 5, 8]	[1, 3, 4]
S2	ADL5	S2-ADL5	SILVER	0.908	56.4	98	30.3	1	68	20	9	[2, 5, 8]	[1, 12, 16]
S2	Drill	S2-Drill	SILVER	0.929	58	98	30.3	0	90	1	7	[2, 5, 17]	[1, 4, 16]
S3	ADL1	S3-ADL1	SILVER	0.854	58.6	96	30.3	0	76	6	14	[3, 5, 9]	[1, 2, 4]
S3	ADL2	S3-ADL2	SILVER	0.77	54.8	74	30.3	1	46	10	17	[2, 5, 17]	[1, 16, 19]
S3	ADL3	S3-ADL3	SILVER	0.882	56.8	85	30.3	0	65	10	10	[2, 5, 8]	[1, 6, 16]
S3	ADL4	S3-ADL4	REJECTED	0.333	48.8	72	30.3	0	11	13	48	[2, 5, 8]	[16, 21, 38]
S3	ADL5	S3-ADL5	SILVER	0.843	57.1	89	30.3	0	71	4	14	[2, 5, 17]	[1, 6, 16]
S3	Drill	S3-Drill	SILVER	0.808	57.7	99	30.3	1	79	0	19	[2, 5, 17]	[1, 6, 16]
S4	ADL1	S4-ADL1	SILVER	0.862	57	94	30.3	0	74	7	13	[2, 5, 9]	[1, 3, 4]
S4	ADL2	S4-ADL2	SILVER	0.845	56.5	84	30.3	0	63	8	13	[2, 5, 9]	[3, 4, 21]
S4	ADL4	S4-ADL4	SILVER	0.932	57.5	73	30.3	0	61	7	5	[2, 5, 10]	[3, 4, 21]
S4	ADL5	S4-ADL5	SILVER	0.879	57.2	91	30.3	0	73	7	11	[2, 5, 17]	[3, 4, 21]
S4	Drill	S4-Drill	SILVER	0.913	58.8	92	30.3	0	82	2	8	[2, 5, 17]	[1, 3, 4]
S1	ADL1	S1-ADL1	null	0.83	59.9	100	null	null	null	null	null	10-12	50-52
S1	ADL2	S1-ADL2	null	0.66	55.7	100	null	null	null	null	null	10-12	50-52
S1	ADL3	S1-ADL3	null	0.83	58.9	100	null	null	null	null	null	10-12	50-52
S1	ADL4	S1-ADL4	null	0.83	58.9	100	null	null	null	null	null	10-12	50-52
S1	ADL5	S1-ADL5	null	0.67	57.1	100	null	null	null	null	null	10-12	50-52
S1	Drill	S1-Drill	null	0.79	58.4	100	null	null	null	null	null	10-12	50-52
S2	ADL1	S2-ADL1	null	0.22	49.5	100	null	null	null	null	null	10-12	50-52
S2	ADL2	S2-ADL2	null	0.57	54.9	100	null	null	null	null	null	10-12	50-52
S2	ADL3	S2-ADL3	null	0.91	60.8	100	null	null	null	null	null	10-12	50-52
S2	ADL4	S2-ADL4	null	0.9	59.8	100	null	null	null	null	null	10-12	50-52
S2	ADL5	S2-ADL5	null	0.9	60.3	100	null	null	null	null	null	10-12	50-52
S2	Drill	S2-Drill	null	0.88	61	100	null	null	null	null	null	10-12	50-52
S3	ADL1	S3-ADL1	null	0.202	50.3	99	null	null	null	null	null	10-12	50-52
S3	ADL2	S3-ADL2	null	0.76	57.6	100	null	null	null	null	null	10-12	50-52
S3	ADL3	S3-ADL3	null	0.55	55.5	100	null	null	null	null	null	10-12	50-52
S3	ADL4	S3-ADL4	null	0.62	55.9	100	null	null	null	null	null	10-12	50-52
S3	ADL5	S3-ADL5	null	0.806	59.1	98	null	null	null	null	null	10-12	50-52
S3	Drill	S3-Drill	null	0.76	59.1	100	null	null	null	null	null	10-12	50-52
S4	ADL1	S4-ADL1	null	0.77	57.8	100	null	null	null	null	null	10-12	50-52
S4	ADL2	S4-ADL2	null	0.78	59.2	100	null	null	null	null	null	10-12	50-52
S4	ADL3	S4-ADL3	null	0.734	57.3	94	null	null	null	null	null	10-12	50-52
S4	ADL4	S4-ADL4	null	0.688	56.4	80	null	null	null	null	null	10-12	50-52
S4	ADL5	S4-ADL5	null	0.69	57	100	null	null	null	null	null	10-12	50-52
S4	Drill	S4-Drill	null	0.61	55.8	100	null	null	null	null	null	10-12	50-52

OPPORTUNITY — S2S Physics Certified (v1.7.0)

Physics-certified windows from the OPPORTUNITY Activity Recognition dataset. Validated against 8 biomechanical laws using S2S.

Two certifications provided

File	Columns	Rejection	Notes
`opportunity_rua_certified.csv`	Documented RUA sensor (cols 10-12)	14.4%	More accurate
`opportunity_certified.csv`	Auto-detected columns	12.3%	Zero-config

Key finding: Documented sensor columns give different results than auto-detection. S2-ADL1 and S3-ADL1 show serious physics anomalies (20-22% pass rate).

Statistics (RUA documented)

Metric	Value
Total windows	2,371
Files	24 (4 subjects × ADL1-5 + Drill)
Sample rate	30.3Hz (auto-detected)
Window size	256 samples
Overall rejection	14.4%
Worst session	S2-ADL1: 78% rejected
Best session	S2-ADL3: 9% rejected

Key findings

S2-ADL1: 22% pass rate — serious sensor anomaly S3-ADL1: 20% pass rate — serious sensor anomaly S1-Drill: 79% pass — drill task cleanest S2-ADL3/4/5: 90%+ pass — cleanest sessions

These anomalies are invisible to standard statistical checks. S2S detects them through biomechanical law violations.

Columns used (RUA documented)

From official OPPORTUNITY column documentation:

Accel: cols 10-12 (Right Upper Arm accelerometer, milli-g)
Gyro: cols 50-52 (Right Upper Arm gyroscope)

Source dataset

Original OPPORTUNITY: https://archive.ics.uci.edu/dataset/226/opportunity+activity+recognition

4 subjects, 7 IMU sensors, 30Hz, daily activities + drill tasks.

Citation

S2S Physics Certification Engine v1.7.0 https://github.com/timbo4u1/S2S DOI: 10.5281/zenodo.18878307 pip install s2s-certify

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