Generating Expressive and Customizable Evals for Timeseries Data Analysis Agents with AgentFuel
Paper • 2603.12483 • Published
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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 4 new columns ({'CPU_Load', 'MM_AttachedUEs', 'Core_Node_ID', 'SM_ActivePDUSessions'}) and 12 missing columns ({'ERAB_EstabInitSuccNbr_QCI', 'RRC_ConnEstabAtt', 'Location_Lon', 'Cell_Availability', 'Cell_ID', 'Transport_Interface_ID', 'RRC_ConnEstabFail', 'Transport_Device_ID', 'RRC_ConnEstabSucc', 'Location_Lat', 'DL_PRB_Utilization', 'Base_Station_ID'}).
This happened while the csv dataset builder was generating data using
hf://datasets/RockfishData/TimeSeriesAgentEvals/datasets/core_node_data.csv (at revision e56f5957673acc174386b73ba3a50336de4bfdb4), [/tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/cell_site_data.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/cell_site_data.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/cell_site_with_inc_data.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/cell_site_with_inc_data.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/core_node_data.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/core_node_data.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/core_node_with_inc_data.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/core_node_with_inc_data.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/ecommerce_sessions_data.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/ecommerce_sessions_data.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/ecommerce_users_data.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/ecommerce_users_data.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/iot_device_data.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/iot_device_data.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/transport_link_data.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/transport_link_data.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/transport_link_with_inc_data.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/transport_link_with_inc_data.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/queries/ecommerce_basic.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/queries/ecommerce_basic.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/queries/ecommerce_stateful.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/queries/ecommerce_stateful.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/queries/iot_basic.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/queries/iot_basic.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/queries/iot_stateful.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/queries/iot_stateful.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/queries/telecom_basic.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/queries/telecom_basic.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/queries/telecom_incident.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/queries/telecom_incident.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 1890, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, 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
Core_Node_ID: string
MM_AttachedUEs: int64
SM_ActivePDUSessions: int64
CPU_Load: double
Timestamp: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 883
to
{'Cell_ID': Value('string'), 'Base_Station_ID': Value('string'), 'Location_Lat': Value('float64'), 'Location_Lon': Value('float64'), 'Transport_Device_ID': Value('string'), 'Transport_Interface_ID': Value('string'), 'RRC_ConnEstabFail': Value('int64'), 'RRC_ConnEstabSucc': Value('int64'), 'RRC_ConnEstabAtt': Value('int64'), 'ERAB_EstabInitSuccNbr_QCI': Value('float64'), 'DL_PRB_Utilization': Value('float64'), 'Cell_Availability': Value('float64'), 'Timestamp': 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 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, 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 1892, 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 4 new columns ({'CPU_Load', 'MM_AttachedUEs', 'Core_Node_ID', 'SM_ActivePDUSessions'}) and 12 missing columns ({'ERAB_EstabInitSuccNbr_QCI', 'RRC_ConnEstabAtt', 'Location_Lon', 'Cell_Availability', 'Cell_ID', 'Transport_Interface_ID', 'RRC_ConnEstabFail', 'Transport_Device_ID', 'RRC_ConnEstabSucc', 'Location_Lat', 'DL_PRB_Utilization', 'Base_Station_ID'}).
This happened while the csv dataset builder was generating data using
hf://datasets/RockfishData/TimeSeriesAgentEvals/datasets/core_node_data.csv (at revision e56f5957673acc174386b73ba3a50336de4bfdb4), [/tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/cell_site_data.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/cell_site_data.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/cell_site_with_inc_data.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/cell_site_with_inc_data.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/core_node_data.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/core_node_data.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/core_node_with_inc_data.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/core_node_with_inc_data.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/ecommerce_sessions_data.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/ecommerce_sessions_data.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/ecommerce_users_data.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/ecommerce_users_data.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/iot_device_data.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/iot_device_data.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/transport_link_data.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/transport_link_data.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/transport_link_with_inc_data.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/datasets/transport_link_with_inc_data.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/queries/ecommerce_basic.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/queries/ecommerce_basic.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/queries/ecommerce_stateful.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/queries/ecommerce_stateful.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/queries/iot_basic.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/queries/iot_basic.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/queries/iot_stateful.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/queries/iot_stateful.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/queries/telecom_basic.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/queries/telecom_basic.csv), /tmp/hf-datasets-cache/medium/datasets/82234754101646-config-parquet-and-info-RockfishData-TimeSeriesAg-e9ed58c8/hub/datasets--RockfishData--TimeSeriesAgentEvals/snapshots/e56f5957673acc174386b73ba3a50336de4bfdb4/queries/telecom_incident.csv (origin=hf://datasets/RockfishData/TimeSeriesAgentEvals@e56f5957673acc174386b73ba3a50336de4bfdb4/queries/telecom_incident.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.
Cell_ID string | Base_Station_ID string | Location_Lat float64 | Location_Lon float64 | Transport_Device_ID string | Transport_Interface_ID string | RRC_ConnEstabFail int64 | RRC_ConnEstabSucc int64 | RRC_ConnEstabAtt int64 | ERAB_EstabInitSuccNbr_QCI float64 | DL_PRB_Utilization float64 | Cell_Availability float64 | Timestamp string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 9 | 92 | 102 | 94.291707 | 51.213983 | 99.493276 | 2026-01-01T00:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 9 | 96 | 106 | 93.241803 | 52.994845 | 99.484967 | 2026-01-01T00:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 8 | 91 | 100 | 91.981074 | 51.790901 | 99.495991 | 2026-01-01T00:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 9 | 91 | 100 | 90.071331 | 51.306298 | 99.53117 | 2026-01-01T00:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 7 | 92 | 100 | 86.199011 | 49.888713 | 99.54073 | 2026-01-01T01:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 7 | 94 | 101 | 82.700224 | 43.846686 | 99.499358 | 2026-01-01T01:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 6 | 85 | 92 | 80.908909 | 40.78035 | 99.521812 | 2026-01-01T01:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 5 | 81 | 86 | 72.748499 | 38.213948 | 99.510103 | 2026-01-01T01:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 4 | 75 | 80 | 69.484024 | 35.087699 | 99.486335 | 2026-01-01T02:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 2 | 72 | 75 | 69.963159 | 34.426709 | 99.48219 | 2026-01-01T02:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 1 | 65 | 67 | 60.684426 | 31.808205 | 99.504014 | 2026-01-01T02:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 1 | 65 | 66 | 59.940747 | 27.707015 | 99.508982 | 2026-01-01T02:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 0 | 58 | 59 | 57.710574 | 25.509919 | 99.488621 | 2026-01-01T03:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 1 | 59 | 60 | 51.413341 | 21.876471 | 99.488247 | 2026-01-01T03:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 1 | 59 | 61 | 50 | 23.270943 | 99.516086 | 2026-01-01T03:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 0 | 55 | 55 | 50 | 20 | 99.511693 | 2026-01-01T03:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 0 | 55 | 55 | 50 | 32.293885 | 99.530955 | 2026-01-01T04:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 0 | 55 | 55 | 50.31198 | 20 | 99.492416 | 2026-01-01T04:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 0 | 57 | 57 | 54.270699 | 20.328429 | 99.507841 | 2026-01-01T04:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 2 | 61 | 63 | 54.229265 | 24.874772 | 99.449925 | 2026-01-01T04:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 1 | 64 | 66 | 61.568416 | 26.968905 | 99.476793 | 2026-01-01T05:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 3 | 59 | 63 | 60.044467 | 29.130247 | 99.498075 | 2026-01-01T05:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 4 | 70 | 75 | 69.782326 | 33.339885 | 99.449151 | 2026-01-01T05:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 5 | 73 | 79 | 74.018302 | 35.844144 | 99.514162 | 2026-01-01T05:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 6 | 78 | 84 | 80.426486 | 38.005586 | 99.525956 | 2026-01-01T06:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 8 | 85 | 94 | 87.56035 | 45.738039 | 99.48614 | 2026-01-01T06:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 9 | 92 | 101 | 91.545855 | 47.815146 | 99.447776 | 2026-01-01T06:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 9 | 94 | 103 | 93.739332 | 47.004034 | 99.480005 | 2026-01-01T06:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 9 | 97 | 106 | 93.711548 | 49.765605 | 99.503244 | 2026-01-01T07:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 8 | 104 | 113 | 99.06061 | 53.327598 | 99.485013 | 2026-01-01T07:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 8 | 106 | 115 | 100.918375 | 57.55714 | 99.491575 | 2026-01-01T07:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 8 | 110 | 118 | 104.678178 | 59.356312 | 99.471002 | 2026-01-01T07:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 9 | 111 | 120 | 103.939829 | 63.544807 | 99.477831 | 2026-01-01T08:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 10 | 110 | 120 | 106.620375 | 66.798004 | 99.447701 | 2026-01-01T08:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 10 | 115 | 125 | 108.443392 | 65.444791 | 99.506971 | 2026-01-01T08:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 11 | 121 | 132 | 114.759096 | 70.515192 | 99.49654 | 2026-01-01T08:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 13 | 124 | 137 | 118.282661 | 72.269677 | 99.499722 | 2026-01-01T09:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 15 | 126 | 141 | 120.500128 | 75.419962 | 99.48817 | 2026-01-01T09:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 16 | 133 | 150 | 122.202547 | 77.376836 | 99.489302 | 2026-01-01T09:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 17 | 134 | 152 | 127.792623 | 77.590934 | 99.450061 | 2026-01-01T09:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 17 | 133 | 150 | 130.597721 | 78.009091 | 99.505458 | 2026-01-01T10:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 17 | 135 | 153 | 125.489063 | 80.726553 | 99.500369 | 2026-01-01T10:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 18 | 137 | 155 | 130.709608 | 79.729959 | 99.506652 | 2026-01-01T10:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 18 | 133 | 152 | 130.961229 | 80.724075 | 99.469275 | 2026-01-01T10:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 17 | 139 | 156 | 137.734185 | 81.547171 | 99.46857 | 2026-01-01T11:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 18 | 135 | 153 | 137.752805 | 82.885412 | 99.495297 | 2026-01-01T11:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 17 | 141 | 158 | 140 | 82.76521 | 99.484199 | 2026-01-01T11:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 18 | 141 | 160 | 133.591564 | 80.621711 | 99.502771 | 2026-01-01T11:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 20 | 145 | 165 | 132.356538 | 81.162662 | 99.47125 | 2026-01-01T12:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 19 | 145 | 164 | 136.283943 | 84.941754 | 99.500209 | 2026-01-01T12:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 19 | 145 | 164 | 136.810255 | 82.540616 | 99.51942 | 2026-01-01T12:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 19 | 145 | 164 | 135.650698 | 84.916657 | 99.497538 | 2026-01-01T12:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 20 | 142 | 162 | 137.265201 | 80.970413 | 99.461339 | 2026-01-01T13:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 19 | 145 | 164 | 140 | 85 | 99.465837 | 2026-01-01T13:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 20 | 145 | 165 | 140 | 84.702262 | 99.450081 | 2026-01-01T13:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 19 | 145 | 164 | 140 | 81.420693 | 99.48666 | 2026-01-01T13:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 19 | 145 | 164 | 140 | 81.909537 | 99.518978 | 2026-01-01T14:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 20 | 144 | 164 | 139.410569 | 84.131344 | 99.490973 | 2026-01-01T14:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 19 | 145 | 164 | 140 | 85 | 99.487428 | 2026-01-01T14:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 20 | 145 | 165 | 140 | 84.483073 | 99.50603 | 2026-01-01T14:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 20 | 145 | 165 | 140 | 84.304404 | 99.477565 | 2026-01-01T15:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 19 | 140 | 160 | 137.687075 | 81.388022 | 99.494228 | 2026-01-01T15:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 18 | 142 | 161 | 132.527943 | 82.004028 | 99.495231 | 2026-01-01T15:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 19 | 142 | 161 | 131.538065 | 84.232004 | 99.470412 | 2026-01-01T15:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 18 | 141 | 159 | 136.276029 | 83.69608 | 99.51483 | 2026-01-01T16:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 17 | 139 | 157 | 130.685267 | 82.843584 | 99.482003 | 2026-01-01T16:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 19 | 135 | 154 | 134.577495 | 76.6429 | 99.518147 | 2026-01-01T16:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 16 | 137 | 154 | 132.857313 | 80.289484 | 99.462452 | 2026-01-01T16:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 16 | 137 | 154 | 127.358879 | 77.491366 | 99.464751 | 2026-01-01T17:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 16 | 128 | 144 | 125.743852 | 77.471183 | 99.498719 | 2026-01-01T17:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 16 | 124 | 140 | 126.771325 | 75.036006 | 99.500965 | 2026-01-01T17:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 15 | 132 | 147 | 126.296462 | 75.394395 | 99.487386 | 2026-01-01T17:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 15 | 127 | 142 | 124.738376 | 75.82548 | 99.479694 | 2026-01-01T18:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 14 | 125 | 139 | 128.430269 | 72.638465 | 99.498377 | 2026-01-01T18:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 15 | 123 | 139 | 123.444244 | 77.578662 | 99.255854 | 2026-01-01T18:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 14 | 124 | 139 | 121.984954 | 75.647038 | 99.478762 | 2026-01-01T18:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 14 | 129 | 143 | 112.525667 | 69.823948 | 99.537711 | 2026-01-01T19:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 13 | 129 | 143 | 119.269228 | 68.778147 | 99.50332 | 2026-01-01T19:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 13 | 125 | 139 | 114.272671 | 66.035652 | 99.488345 | 2026-01-01T19:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 12 | 124 | 137 | 116.500388 | 68.430891 | 99.444282 | 2026-01-01T19:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 12 | 126 | 139 | 113.255468 | 67.142918 | 99.449315 | 2026-01-01T20:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 12 | 122 | 135 | 112.709866 | 65.340151 | 99.466442 | 2026-01-01T20:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 12 | 122 | 134 | 113.469518 | 67.846863 | 99.514837 | 2026-01-01T20:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 11 | 119 | 131 | 112.486895 | 66.121908 | 99.517184 | 2026-01-01T20:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 10 | 114 | 124 | 107.885985 | 62.78461 | 99.464911 | 2026-01-01T21:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 10 | 109 | 119 | 104.578537 | 62.129917 | 99.503737 | 2026-01-01T21:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 8 | 101 | 110 | 100.397874 | 58.066884 | 99.526788 | 2026-01-01T21:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 8 | 96 | 105 | 98.140891 | 52.949305 | 99.491843 | 2026-01-01T21:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 7 | 102 | 109 | 93.790334 | 55.102674 | 99.482729 | 2026-01-01T22:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 7 | 97 | 104 | 93.128428 | 52.860001 | 99.541923 | 2026-01-01T22:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 8 | 93 | 102 | 92.967574 | 52.277995 | 99.503705 | 2026-01-01T22:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 8 | 108 | 116 | 97.188863 | 51.273569 | 99.497583 | 2026-01-01T22:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 9 | 98 | 107 | 97.75999 | 49.072493 | 99.503569 | 2026-01-01T23:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 9 | 100 | 109 | 98.317806 | 54.547628 | 99.493043 | 2026-01-01T23:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 9 | 98 | 107 | 96.266879 | 54.444198 | 99.499058 | 2026-01-01T23:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 9 | 102 | 112 | 90.783979 | 52.87758 | 99.452723 | 2026-01-01T23:45:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 9 | 101 | 111 | 95.452407 | 54.193281 | 99.504813 | 2026-01-02T00:00:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 9 | 103 | 112 | 99.119608 | 52.749306 | 99.488331 | 2026-01-02T00:15:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 8 | 98 | 106 | 98.640484 | 49.686196 | 99.525449 | 2026-01-02T00:30:00+00:00 |
CELL_0 | eNB_001 | 40.346287 | -79.219057 | RTR_002 | eth3 | 8 | 90 | 99 | 93.212937 | 48.847282 | 99.52086 | 2026-01-02T00:45:00+00:00 |
End of preview.
AgentFuel Benchmarks
Datasets and query sets for the three benchmark settings from the paper Generating Expressive and Customizable Evals for Timeseries Data Analysis Agents with AgentFuel.
All datasets and query sets were generated using AgentFuel's data generation and question-answer generation modules.
E-commerce
Product analytics for an e-commerce website. Browsing sessions are generated using a state machine covering browsing flows, cart abandonment, and purchase flows.
- Datasets:
ecommerce_users_data.csv,ecommerce_sessions_data.csv - Queries: 12 stateless (
ecommerce_basic.csv) + 12 stateful (ecommerce_stateful.csv)
IoT
IoT device monitoring with three sensor exemplars: temperature, pressure, and humidity, each with its own operations state machine and device health metrics.
- Dataset:
iot_device_data.csv - Queries: 12 stateless (
iot_basic.csv) + 12 stateful (iot_stateful.csv)
Telecom
Telecommunications network telemetry across three related entities: cell sites, transport links, and core nodes. The _with_inc_ dataset variants include an injected cascading incident: a transport link degrades (elevated packet loss, latency, jitter), cascading to connected cell sites (higher RRC failures, lower availability), with a modest effect on core nodes (reduced attached UEs, increased CPU load).
- Datasets:
cell_site_data.csv,transport_link_data.csv,core_node_data.csv(and_with_inc_variants) - Queries: 12 stateless (
telecom_basic.csv) + 12 incident-specific (telecom_incident.csv)
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