Dataset Preview
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