Hugging Face's logo

Datasets:
uncledecart
/
rtos

License:
Dataset card Data Studio Files
xet
Community
Dataset Preview
Duplicate
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
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 174 new columns ({'cpu6_softirq', 'cpu7_nice', 'cpu3_guest', 'cpu9_guest_nice', 'cpu_system', 'cpu1_irq', 'cpu9_idle', 'cpu4_irq', 'cpu11_guest_nice', 'cpu13_system', 'cpu13_guest_nice', 'cpu9_irq', 'cpu1_idle', 'cpu5_guest', 'cpu12_iowait', 'cpu0_guest_nice', 'cpu0_steal', 'cpu6_user', 'cpu7_system', 'cpu15_user', 'cpu3_nice', 'procs_running', 'cpu7_idle', 'cpu13_iowait', 'cpu11_idle', 'cpu4_guest_nice', 'cpu13_idle', 'cpu14_irq', 'cpu14_guest', 'cpu9_softirq', 'cpu7_irq', 'cpu4_nice', 'cpu12_user', 'cpu0_system', 'cpu1_nice', 'cpu2_guest_nice', 'cpu13_softirq', 'cpu2_nice', 'cpu9_user', 'cpu8_steal', 'cpu5_system', 'cpu9_nice', 'cpu8_nice', 'cpu10_guest', 'cpu11_iowait', 'cpu_guest', 'cpu0_guest', 'processes', 'cpu_nice', 'cpu1_steal', 'cpu1_system', 'cpu11_guest', 'cpu14_user', 'cpu6_iowait', 'cpu9_steal', 'cpu15_steal', 'cpu3_user', 'cpu5_user', 'cpu3_iowait', 'cpu11_irq', 'cpu_softirq', 'cpu6_idle', 'cpu3_irq', 'cpu8_irq', 'cpu0_user', 'cpu14_system', 'cpu8_guest', 'cpu7_steal', 'cpu9_guest', 'cpu9_system', 'cpu14_steal', 'cpu1_iowait', 'cpu4_steal', 'cpu5_softirq', 'cpu4_idle', 'cpu15_softirq', 'cpu10_softirq', 'cpu10_user', 'cpu12_system', 'cpu6_nice', 'cpu14_idle', 'cpu6_irq', 'cpu5_idle', 'cpu7_guest', 'cpu14_softirq', 'cpu15_guest_nice', 'cpu13_user', 'cpu14_guest_nice', 'cpu10_system', 'cpu12_guest_nice', 'cpu1_user', 'cpu7_softirq', 'cpu6_system', 'cpu3_steal', 'cpu4_user', 'cpu14_iowait', 'cpu15_iowait', 'cpu15_nice', 'cpu2_iowait', 'cpu_user', 'cpu15_idle', 'cpu12_idle', 'cpu1_guest', 'cpu1_guest_nice', 'cpu2_softirq', 'cpu8_softirq', 'cpu0_irq', 'cpu7_iowait', 'cpu4_system', 'cpu6_guest', 'cpu10_guest_nice', 'cpu6_guest_nice', 'cpu11_user', 'cpu12_softirq', 'cpu13_irq', 'cpu1_softirq', 'cpu5_steal', 'cpu10_idle', 'cpu11_nice', 'cpu12_nice', 'cpu2_steal', 'cpu15_irq', 'cpu10_irq', 'cpu5_guest_nice', 'cpu12_guest', 'cpu4_guest', 'cpu12_steal', 'cpu5_nice', 'cpu7_guest_nice', 'cpu8_idle', 'cpu13_nice', 'cpu14_nice', 'cpu4_iowait', 'cpu2_irq', 'cpu3_system', 'cpu4_softirq', 'cpu8_guest_nice', 'cpu10_steal', 'cpu12_irq', 'cpu11_system', 'cpu2_system', 'cpu11_steal', 'cpu_irq', 'cpu0_iowait', 'ctxt', 'cpu15_system', 'cpu3_softirq', 'cpu8_system', 'cpu_steal', 'cpu7_user', 'cpu8_user', 'cpu8_iowait', 'cpu0_softirq', 'cpu11_softirq', 'cpu_idle', 'cpu_iowait', 'cpu13_steal', 'cpu13_guest', 'cpu3_guest_nice', 'cpu9_iowait', 'cpu2_user', 'cpu15_guest', 'cpu2_guest', 'cpu5_irq', 'cpu10_iowait', 'cpu10_nice', 'procs_blocked', 'cpu_guest_nice', 'cpu0_idle', 'cpu3_idle', 'cpu0_nice', 'cpu5_iowait', 'cpu6_steal', 'cpu2_idle'}) and 14 missing columns ({'Core 0', 'Core 6.1', 'Core 5.1', 'Core 1', 'Core 6', 'Package id 0', 'Package id 1', 'Core 7', 'Core 5', 'Core 0.1', 'Core 2.1', 'Core 2', 'Core 4', 'Core 3'}).

This happened while the csv dataset builder was generating data using

hf://datasets/uncledecart/rtos/05-19-35/cpustat_monitor.csv (at revision 32ee0481902269e55c35d9751c33fd55be5af3c8)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              timestamp: string
              cpu_user: int64
              cpu_nice: int64
              cpu_system: int64
              cpu_idle: int64
              cpu_iowait: int64
              cpu_irq: int64
              cpu_softirq: int64
              cpu_steal: int64
              cpu_guest: int64
              cpu_guest_nice: int64
              cpu0_user: int64
              cpu0_nice: int64
              cpu0_system: int64
              cpu0_idle: int64
              cpu0_iowait: int64
              cpu0_irq: int64
              cpu0_softirq: int64
              cpu0_steal: int64
              cpu0_guest: int64
              cpu0_guest_nice: int64
              cpu1_user: int64
              cpu1_nice: int64
              cpu1_system: int64
              cpu1_idle: int64
              cpu1_iowait: int64
              cpu1_irq: int64
              cpu1_softirq: int64
              cpu1_steal: int64
              cpu1_guest: int64
              cpu1_guest_nice: int64
              cpu2_user: int64
              cpu2_nice: int64
              cpu2_system: int64
              cpu2_idle: int64
              cpu2_iowait: int64
              cpu2_irq: int64
              cpu2_softirq: int64
              cpu2_steal: int64
              cpu2_guest: int64
              cpu2_guest_nice: int64
              cpu3_user: int64
              cpu3_nice: int64
              cpu3_system: int64
              cpu3_idle: int64
              cpu3_iowait: int64
              cpu3_irq: int64
              cpu3_softirq: int64
              cpu3_steal: int64
              cpu3_guest: int64
              cpu3_guest_nice: int64
              cpu4_user: int64
              cpu4_nice: int64
              cpu4_system: int64
              cpu4_idle: int64
              cpu4_iowait: int64
              cpu4_irq: int64
              cpu4_softirq: int64
              cpu4_steal: int64
              cpu4_guest: int64
              cpu4_guest_nice: int64
              cpu5_user: int64
              cpu5_nice: int64
              cpu5_system: int64
              cpu5_idle: int64
              cpu5_iowait: int64
              cpu5_irq: int64
              cpu5_softirq: int64
              cpu5_steal: int64
              cpu5_guest: int64
              cpu5_guest_nice: int64
              cpu6_user: int64
              cpu6_nice: int64
              cpu6_system: int64
              cpu6_idle: int64
              cpu6_iowait: int64
              cpu6_irq: int64
              cpu6_softirq: int64
              cpu6_steal: int64
              cpu6_guest: int64
              cpu6_guest_nice: int64
              cpu7_user: int64
              cpu
              ...
              ice: int64
              cpu9_system: int64
              cpu9_idle: int64
              cpu9_iowait: int64
              cpu9_irq: int64
              cpu9_softirq: int64
              cpu9_steal: int64
              cpu9_guest: int64
              cpu9_guest_nice: int64
              cpu10_user: int64
              cpu10_nice: int64
              cpu10_system: int64
              cpu10_idle: int64
              cpu10_iowait: int64
              cpu10_irq: int64
              cpu10_softirq: int64
              cpu10_steal: int64
              cpu10_guest: int64
              cpu10_guest_nice: int64
              cpu11_user: int64
              cpu11_nice: int64
              cpu11_system: int64
              cpu11_idle: int64
              cpu11_iowait: int64
              cpu11_irq: int64
              cpu11_softirq: int64
              cpu11_steal: int64
              cpu11_guest: int64
              cpu11_guest_nice: int64
              cpu12_user: int64
              cpu12_nice: int64
              cpu12_system: int64
              cpu12_idle: int64
              cpu12_iowait: int64
              cpu12_irq: int64
              cpu12_softirq: int64
              cpu12_steal: int64
              cpu12_guest: int64
              cpu12_guest_nice: int64
              cpu13_user: int64
              cpu13_nice: int64
              cpu13_system: int64
              cpu13_idle: int64
              cpu13_iowait: int64
              cpu13_irq: int64
              cpu13_softirq: int64
              cpu13_steal: int64
              cpu13_guest: int64
              cpu13_guest_nice: int64
              cpu14_user: int64
              cpu14_nice: int64
              cpu14_system: int64
              cpu14_idle: int64
              cpu14_iowait: int64
              cpu14_irq: int64
              cpu14_softirq: int64
              cpu14_steal: int64
              cpu14_guest: int64
              cpu14_guest_nice: int64
              cpu15_user: int64
              cpu15_nice: int64
              cpu15_system: int64
              cpu15_idle: int64
              cpu15_iowait: int64
              cpu15_irq: int64
              cpu15_softirq: int64
              cpu15_steal: int64
              cpu15_guest: int64
              cpu15_guest_nice: int64
              ctxt: int64
              processes: int64
              procs_running: int64
              procs_blocked: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 20973
              to
              {'timestamp': Value('string'), 'Package id 0': Value('float64'), 'Core 0': Value('float64'), 'Core 1': Value('float64'), 'Core 2': Value('float64'), 'Core 3': Value('float64'), 'Core 4': Value('float64'), 'Core 5': Value('float64'), 'Core 6': Value('float64'), 'Core 7': Value('float64'), 'Package id 1': Value('float64'), 'Core 0.1': Value('float64'), 'Core 2.1': Value('float64'), 'Core 5.1': Value('float64'), 'Core 6.1': Value('float64')}
              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 1450, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 993, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 1833, 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 174 new columns ({'cpu6_softirq', 'cpu7_nice', 'cpu3_guest', 'cpu9_guest_nice', 'cpu_system', 'cpu1_irq', 'cpu9_idle', 'cpu4_irq', 'cpu11_guest_nice', 'cpu13_system', 'cpu13_guest_nice', 'cpu9_irq', 'cpu1_idle', 'cpu5_guest', 'cpu12_iowait', 'cpu0_guest_nice', 'cpu0_steal', 'cpu6_user', 'cpu7_system', 'cpu15_user', 'cpu3_nice', 'procs_running', 'cpu7_idle', 'cpu13_iowait', 'cpu11_idle', 'cpu4_guest_nice', 'cpu13_idle', 'cpu14_irq', 'cpu14_guest', 'cpu9_softirq', 'cpu7_irq', 'cpu4_nice', 'cpu12_user', 'cpu0_system', 'cpu1_nice', 'cpu2_guest_nice', 'cpu13_softirq', 'cpu2_nice', 'cpu9_user', 'cpu8_steal', 'cpu5_system', 'cpu9_nice', 'cpu8_nice', 'cpu10_guest', 'cpu11_iowait', 'cpu_guest', 'cpu0_guest', 'processes', 'cpu_nice', 'cpu1_steal', 'cpu1_system', 'cpu11_guest', 'cpu14_user', 'cpu6_iowait', 'cpu9_steal', 'cpu15_steal', 'cpu3_user', 'cpu5_user', 'cpu3_iowait', 'cpu11_irq', 'cpu_softirq', 'cpu6_idle', 'cpu3_irq', 'cpu8_irq', 'cpu0_user', 'cpu14_system', 'cpu8_guest', 'cpu7_steal', 'cpu9_guest', 'cpu9_system', 'cpu14_steal', 'cpu1_iowait', 'cpu4_steal', 'cpu5_softirq', 'cpu4_idle', 'cpu15_softirq', 'cpu10_softirq', 'cpu10_user', 'cpu12_system', 'cpu6_nice', 'cpu14_idle', 'cpu6_irq', 'cpu5_idle', 'cpu7_guest', 'cpu14_softirq', 'cpu15_guest_nice', 'cpu13_user', 'cpu14_guest_nice', 'cpu10_system', 'cpu12_guest_nice', 'cpu1_user', 'cpu7_softirq', 'cpu6_system', 'cpu3_steal', 'cpu4_user', 'cpu14_iowait', 'cpu15_iowait', 'cpu15_nice', 'cpu2_iowait', 'cpu_user', 'cpu15_idle', 'cpu12_idle', 'cpu1_guest', 'cpu1_guest_nice', 'cpu2_softirq', 'cpu8_softirq', 'cpu0_irq', 'cpu7_iowait', 'cpu4_system', 'cpu6_guest', 'cpu10_guest_nice', 'cpu6_guest_nice', 'cpu11_user', 'cpu12_softirq', 'cpu13_irq', 'cpu1_softirq', 'cpu5_steal', 'cpu10_idle', 'cpu11_nice', 'cpu12_nice', 'cpu2_steal', 'cpu15_irq', 'cpu10_irq', 'cpu5_guest_nice', 'cpu12_guest', 'cpu4_guest', 'cpu12_steal', 'cpu5_nice', 'cpu7_guest_nice', 'cpu8_idle', 'cpu13_nice', 'cpu14_nice', 'cpu4_iowait', 'cpu2_irq', 'cpu3_system', 'cpu4_softirq', 'cpu8_guest_nice', 'cpu10_steal', 'cpu12_irq', 'cpu11_system', 'cpu2_system', 'cpu11_steal', 'cpu_irq', 'cpu0_iowait', 'ctxt', 'cpu15_system', 'cpu3_softirq', 'cpu8_system', 'cpu_steal', 'cpu7_user', 'cpu8_user', 'cpu8_iowait', 'cpu0_softirq', 'cpu11_softirq', 'cpu_idle', 'cpu_iowait', 'cpu13_steal', 'cpu13_guest', 'cpu3_guest_nice', 'cpu9_iowait', 'cpu2_user', 'cpu15_guest', 'cpu2_guest', 'cpu5_irq', 'cpu10_iowait', 'cpu10_nice', 'procs_blocked', 'cpu_guest_nice', 'cpu0_idle', 'cpu3_idle', 'cpu0_nice', 'cpu5_iowait', 'cpu6_steal', 'cpu2_idle'}) and 14 missing columns ({'Core 0', 'Core 6.1', 'Core 5.1', 'Core 1', 'Core 6', 'Package id 0', 'Package id 1', 'Core 7', 'Core 5', 'Core 0.1', 'Core 2.1', 'Core 2', 'Core 4', 'Core 3'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/uncledecart/rtos/05-19-35/cpustat_monitor.csv (at revision 32ee0481902269e55c35d9751c33fd55be5af3c8)
              
              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.

timestamp
string
Package id 0
float64
Core 0
float64
Core 1
float64
Core 2
float64
Core 3
float64
Core 4
float64
Core 5
float64
Core 6
float64
Core 7
float64
Package id 1
float64
Core 0.1
float64
Core 2.1
float64
Core 5.1
float64
Core 6.1
float64
2025-11-03 05:19:36
51
47
48
49
50
48
48
49
50
52
48
48
49
48
2025-11-03 05:19:37
51
46
47
49
49
48
48
48
49
51
47
49
49
47
2025-11-03 05:19:38
50
47
48
49
49
48
49
49
50
51
48
49
49
47
2025-11-03 05:19:39
51
49
48
50
50
49
49
50
50
55
49
50
49
49
2025-11-03 05:19:40
51
48
47
49
50
49
49
49
49
58
58
49
49
48
2025-11-03 05:19:41
59
57
55
58
59
56
54
58
58
59
57
59
57
57
2025-11-03 05:19:42
59
59
56
58
58
57
59
58
59
60
59
60
57
58
2025-11-03 05:19:43
60
59
56
60
60
57
60
60
60
61
58
61
57
58
2025-11-03 05:19:44
61
61
57
59
61
57
60
57
61
60
59
60
59
59
2025-11-03 05:19:45
61
60
56
60
61
58
61
60
61
60
59
60
58
59
2025-11-03 05:19:46
61
60
57
59
61
59
61
60
61
60
58
60
59
59
2025-11-03 05:19:47
62
61
58
60
61
58
62
60
61
61
60
61
59
56
2025-11-03 05:19:48
62
61
57
61
61
58
61
60
62
62
60
62
60
57
2025-11-03 05:19:49
62
62
59
60
62
59
62
61
61
60
59
60
59
60
2025-11-03 05:19:50
62
62
57
61
62
59
62
60
62
60
59
60
59
58
2025-11-03 05:19:51
63
63
58
61
62
58
61
60
60
61
60
61
59
59
2025-11-03 05:19:52
62
62
59
61
61
59
60
61
61
61
60
61
59
59
2025-11-03 05:19:53
63
61
59
62
62
59
60
62
63
62
59
62
59
59
2025-11-03 05:19:54
63
61
59
60
62
59
62
61
62
61
60
61
59
59
2025-11-03 05:19:55
64
62
59
62
62
59
64
61
63
62
60
62
60
57
2025-11-03 05:19:56
63
61
59
62
62
60
63
62
62
60
60
54
60
59
2025-11-03 05:19:57
63
62
59
60
61
58
63
61
63
62
60
62
60
59
2025-11-03 05:19:58
62
62
60
62
62
60
59
58
62
61
60
60
60
59
2025-11-03 05:19:59
63
62
60
63
63
60
63
62
62
61
60
61
61
59
2025-11-03 05:20:00
64
63
59
63
63
60
64
62
63
62
60
62
60
60
2025-11-03 05:20:01
64
64
60
63
63
59
62
62
63
62
60
62
61
60
2025-11-03 05:20:02
63
63
60
62
63
59
63
62
63
62
61
62
60
59
2025-11-03 05:20:03
63
61
59
63
63
60
63
61
63
62
60
62
61
61
2025-11-03 05:20:04
64
62
58
63
64
60
64
62
63
63
60
62
60
60
2025-11-03 05:20:05
64
63
60
63
64
60
63
62
64
62
59
62
60
59
2025-11-03 05:20:06
64
63
60
63
64
60
64
62
62
62
60
62
60
60
2025-11-03 05:20:07
64
64
59
62
64
60
64
62
64
62
60
62
60
60
2025-11-03 05:20:08
64
63
61
64
63
62
64
62
63
63
61
63
60
60
2025-11-03 05:20:09
64
64
60
63
64
61
64
63
63
63
60
63
60
60
2025-11-03 05:20:10
64
62
60
63
64
60
64
62
63
62
60
62
61
60
2025-11-03 05:20:11
64
63
59
63
64
61
64
63
64
62
60
61
60
60
2025-11-03 05:20:12
63
63
61
61
64
61
63
63
63
63
60
63
60
59
2025-11-03 05:20:13
64
62
59
63
64
61
64
63
63
61
60
62
60
60
2025-11-03 05:20:14
64
63
58
63
63
61
64
63
64
63
59
63
60
60
2025-11-03 05:20:15
64
64
60
63
64
62
64
62
64
63
61
63
61
60
2025-11-03 05:20:16
64
64
60
61
63
62
64
63
63
62
60
62
61
60
2025-11-03 05:20:17
65
65
61
63
64
62
64
61
63
63
61
63
62
60
2025-11-03 05:20:18
65
65
61
64
63
61
65
63
64
62
61
62
60
60
2025-11-03 05:20:19
65
65
60
63
64
62
65
62
63
63
61
63
61
61
2025-11-03 05:20:20
65
65
61
64
60
62
62
63
64
62
61
62
61
60
2025-11-03 05:20:21
66
66
61
64
65
62
64
63
64
62
60
61
62
59
2025-11-03 05:20:22
65
65
61
65
65
62
65
64
64
63
61
63
61
60
2025-11-03 05:20:23
66
65
61
63
64
62
64
63
64
63
61
63
61
61
2025-11-03 05:20:24
65
65
61
64
64
62
65
64
65
63
60
63
60
61
2025-11-03 05:20:25
65
63
61
64
65
62
64
62
66
63
62
63
62
60
2025-11-03 05:20:26
65
65
61
65
64
63
65
63
64
63
62
63
62
60
2025-11-03 05:20:27
66
64
61
65
66
63
65
64
63
63
61
63
60
61
2025-11-03 05:20:28
65
65
61
64
65
62
65
64
65
63
61
63
62
61
2025-11-03 05:20:29
65
65
62
64
65
62
65
64
65
63
62
63
62
60
2025-11-03 05:20:30
65
65
62
65
65
63
65
63
65
63
61
63
60
61
2025-11-03 05:20:31
66
65
62
64
66
62
66
64
66
64
60
64
61
61
2025-11-03 05:20:32
66
65
63
65
66
62
66
64
66
62
60
62
60
61
2025-11-03 05:20:33
66
65
62
65
66
63
64
64
65
63
62
63
62
62
2025-11-03 05:20:34
66
66
63
65
66
63
66
64
66
62
62
62
61
61
2025-11-03 05:20:35
66
66
63
66
66
62
66
64
65
64
61
64
62
61
2025-11-03 05:20:36
66
66
61
65
64
62
66
64
66
64
61
64
61
61
2025-11-03 05:20:37
66
66
63
66
66
64
65
64
66
64
61
64
61
62
2025-11-03 05:20:38
66
66
63
66
66
63
66
64
64
64
63
64
62
62
2025-11-03 05:20:39
67
67
64
65
67
63
67
65
67
64
61
64
63
63
2025-11-03 05:20:40
67
67
63
66
66
63
66
64
66
63
62
62
63
62
2025-11-03 05:20:41
67
66
63
67
66
63
67
65
67
64
62
64
62
62
2025-11-03 05:20:42
67
67
64
66
66
64
66
64
67
64
62
64
63
62
2025-11-03 05:20:43
67
67
63
66
66
64
67
64
67
64
63
64
63
62
2025-11-03 05:20:44
67
67
63
66
67
64
67
66
67
64
63
64
63
62
2025-11-03 05:20:45
68
66
64
66
67
64
67
65
67
64
64
64
63
61
2025-11-03 05:20:46
67
66
64
67
66
63
66
66
66
64
63
64
63
63
2025-11-03 05:20:47
67
67
64
67
67
64
67
66
67
64
64
63
63
63
2025-11-03 05:20:48
68
67
64
67
67
64
67
66
68
64
62
64
63
62
2025-11-03 05:20:49
68
67
64
67
67
64
68
66
68
64
63
65
63
63
2025-11-03 05:20:50
68
67
66
67
67
64
68
65
67
64
63
64
63
63
2025-11-03 05:20:51
68
68
65
67
67
65
67
66
67
65
63
65
63
63
2025-11-03 05:20:52
68
67
65
67
68
64
67
66
68
64
64
64
63
63
2025-11-03 05:20:53
68
67
65
67
67
65
68
66
66
64
64
64
63
62
2025-11-03 05:20:54
68
67
64
67
67
62
68
66
68
64
61
64
63
63
2025-11-03 05:20:55
68
68
65
66
68
64
67
66
68
66
64
66
62
62
2025-11-03 05:20:56
68
68
65
68
67
64
69
67
68
64
64
63
64
63
2025-11-03 05:20:57
69
67
65
68
67
65
68
66
69
65
63
65
63
63
2025-11-03 05:20:58
68
66
64
68
67
65
68
66
67
65
63
65
63
64
2025-11-03 05:20:59
69
68
65
68
68
66
67
66
69
64
64
64
63
63
2025-11-03 05:21:00
69
68
65
66
67
65
69
67
69
65
64
65
63
63
2025-11-03 05:21:01
69
68
63
67
67
65
69
66
68
66
64
66
63
63
2025-11-03 05:21:02
69
67
64
67
67
65
69
66
68
65
64
65
64
63
2025-11-03 05:21:03
69
69
63
68
68
65
68
67
69
66
63
66
64
63
2025-11-03 05:21:04
69
69
65
68
67
65
69
67
68
65
64
65
64
63
2025-11-03 05:21:05
68
67
65
67
67
65
68
66
67
66
64
66
63
63
2025-11-03 05:21:06
69
68
65
68
67
66
69
66
68
65
64
65
64
63
2025-11-03 05:21:07
69
68
65
68
67
65
69
67
68
65
64
65
64
61
2025-11-03 05:21:08
70
69
65
68
68
65
68
67
70
65
64
65
64
64
2025-11-03 05:21:09
69
69
66
63
68
66
68
67
70
65
63
65
64
64
2025-11-03 05:21:10
69
69
65
68
69
65
69
67
70
65
65
65
64
64
2025-11-03 05:21:11
69
69
66
68
67
66
67
67
69
65
65
65
64
63
2025-11-03 05:21:12
70
68
66
68
68
66
69
67
70
64
64
58
62
64
2025-11-03 05:21:13
70
70
65
68
68
65
69
67
69
66
64
66
64
63
2025-11-03 05:21:14
69
67
66
69
68
66
69
67
69
65
65
65
64
65
2025-11-03 05:21:15
70
69
67
69
69
66
69
68
70
66
65
66
62
62
End of preview.

Content of this dataset

This dataset contains runs of experiments to evaluate feasibility of real-time capabilities of Dell R660XS(SN-CB5GXC4) server. There are 3 types of tests: caterpillar, cyclictest, 48-hour benchmark (for detailed explanation see below).

It has following tests runs

config folder test description
test1 05-19-35 caterpillar before BIOS correction
test2 06-38-03 cyclictest after BIOS correction
test3 15-12-05 48-hour with msr error
test4 10-49-18 48-hour wihout msr error
test5 11-04-24 48-hour using rdtset

For more info about analysis done check out this repo

What Is the Caterpillar Benchmark for RT?

The Caterpillar RT Benchmark is a diagnostic tool designed to:

  • Evaluate real-time responsiveness of CPU cores under varying system conditions.
  • Measure timing jitter (variations in scheduling and latency).
  • Identify hardware or kernel-level contributors to timing instability (e.g., IRQs, temperature fluctuations).

The benchmark runs multiple real-time workloads while collecting detailed monitoring data from the system.

Input Data Description

The benchmark generates several monitoring files in the output directory, each containing time-synchronized measurements from different subsystems.

File Description
output.csv Primary timing dataset (sample and session jitter metrics).
cpu_monitor.csv CPU temperature, frequency, and utilization per core.
cpustat_monitor.csv Detailed CPU statistics (user/system/idle times, context switches).
irq_monitor.csv IRQ activity counts per CPU core over time.
softirq_monitor.csv Kernel-level soft interrupt counts per CPU core.
meminfo_monitor.csv Memory pressure and allocation statistics.
sysinfo.json System configuration and metadata (CPU topology, kernel version, etc.).

Structure of output.csv

The file output.csv contains per-sample jitter measurements recorded during the benchmark.
Each row represents a single sampling point with both sample-level and session-level timing information.

Column Description Units
timestamp Timestamp of the measurement ISO 8601 datetime
SampleMin Minimum latency within current sampling window microseconds (µs)
SampleMax Maximum latency within current sampling window microseconds (µs)
SmplJitter Difference between SampleMax and SampleMin (per-sample jitter) microseconds (µs)
SessionMin Minimum latency observed since session start microseconds (µs)
SessionMax Maximum latency observed since session start microseconds (µs)
SessionJitter SessionMax - SessionMin, cumulative jitter for the session microseconds (µs)
Sample Sequential sample index integer

What Is the cyclictest Benchmark for RT?

Cyclictest repeatedly and precisely measures the gap between a thread’s scheduled wake-up time and the moment it actually wakes from clock_nanosleep, providing detailed latency statistics. It identifies real-time latency sources across hardware, firmware, and the operating system.

for more details see here

Input Data Description

The benchmark generates several monitoring files in the output directory, each containing time-synchronized measurements from different subsystems.

File Description
output.csv csv file containing test results
cpu_monitor.csv CPU temperature, frequency, and utilization per core.
cpustat_monitor.csv Detailed CPU statistics (user/system/idle times, context switches).
irq_monitor.csv IRQ activity counts per CPU core over time.
softirq_monitor.csv Kernel-level soft interrupt counts per CPU core.
meminfo_monitor.csv Memory pressure and allocation statistics.
sysinfo.json System configuration and metadata (CPU topology, kernel version, etc.).

Structure of output.csv

Short Explanation
timestamp Timestamp of the measurement
T Thread: Thread index and thread ID
P Priority: RT thread priority
I Interval: Intended wake up period for the latency measuring threads
C Count: Number of times the latency was measured (iteration count)
Min Minimum: Minimum latency that was measured
Act Actual: Latency measured during the latest completed iteration
Avg Average: Average latency that was measured
Max Maximum: Maximum latency that was measured
Downloads last month
4