Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
partitionScheme: string
prefix: string
description: string
parts: struct<2026-05-26T15: struct<path: string, rowCount: int64, hourKey: timestamp[s], updatedAt: string (... 2 chars omitted)
child 0, 2026-05-26T15: struct<path: string, rowCount: int64, hourKey: timestamp[s], updatedAt: string>
child 0, path: string
child 1, rowCount: int64
child 2, hourKey: timestamp[s]
child 3, updatedAt: string
totalRows: int64
updatedAt: string
timestamp: string
sourceType: string
eventId: string
location: string
sensorType: string
stage: string
transport: string
confidence: double
openSpaces: int64
sensorKind: string
occupancyPercent: int64
sourceName: string
eventTime: string
sourceId: string
sourceMode: string
to
{'stage': Value('string'), 'eventId': Value('string'), 'eventTime': Value('string'), 'sourceId': Value('string'), 'sourceName': Value('string'), 'sourceType': Value('string'), 'sourceMode': Value('string'), 'sensorType': Value('string'), 'location': Value('string'), 'timestamp': Value('string'), 'transport': Value('string'), 'confidence': Value('float64'), 'openSpaces': Value('int64'), 'sensorKind': Value('string'), 'occupancyPercent': Value('int64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_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
partitionScheme: string
prefix: string
description: string
parts: struct<2026-05-26T15: struct<path: string, rowCount: int64, hourKey: timestamp[s], updatedAt: string (... 2 chars omitted)
child 0, 2026-05-26T15: struct<path: string, rowCount: int64, hourKey: timestamp[s], updatedAt: string>
child 0, path: string
child 1, rowCount: int64
child 2, hourKey: timestamp[s]
child 3, updatedAt: string
totalRows: int64
updatedAt: string
timestamp: string
sourceType: string
eventId: string
location: string
sensorType: string
stage: string
transport: string
confidence: double
openSpaces: int64
sensorKind: string
occupancyPercent: int64
sourceName: string
eventTime: string
sourceId: string
sourceMode: string
to
{'stage': Value('string'), 'eventId': Value('string'), 'eventTime': Value('string'), 'sourceId': Value('string'), 'sourceName': Value('string'), 'sourceType': Value('string'), 'sourceMode': Value('string'), 'sensorType': Value('string'), 'location': Value('string'), 'timestamp': Value('string'), 'transport': Value('string'), 'confidence': Value('float64'), 'openSpaces': Value('int64'), 'sensorKind': Value('string'), 'occupancyPercent': Value('int64')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Flowmatic Smart City Dataset
Flowmatic smart-city dataset with hourly UTC CSV partitions. 1 hour file(s), 65 total row(s). Files live under data/hourly/ and are indexed in data/hourly/manifest.json.
Pipeline run: cmpms7pcx00b7my3cmrccyl9h
Updated: 2026-05-26T15:20:15.339Z
Partition scheme: hourly-utc
Manifest: data/hourly/manifest.json
Hourly CSV layout
Rows are grouped by eventTime into one CSV per UTC hour:
- Directory:
data/hourly/ - File pattern:
YYYY-MM-DDTHH.csv(example:data/hourly/2026-05-21T14.csv) - Append exports merge only within the touched hour file(s), not the whole dataset.
| Hour (UTC) | File | Rows | Updated |
|---|---|---|---|
| 2026-05-26 15:00–15:59 UTC | data/hourly/2026-05-26T15.csv |
65 | 2026-05-26T15:20:15.339Z |
Preview (latest exported rows)
| stage | eventId | eventTime | sourceId | sourceName | sourceType | sourceMode | sensorType | location | timestamp | transport | confidence | openSpaces | sensorKind | occupancyPercent |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| "cleaned" | "cmpms7p3400b5my3c3qt2da2d" | "2026-05-26T15:20:12.735Z" | "cmpms3j580003my3cx0klbxa5" | "astana" | "WEBSOCKET" | "SIMULATED" | "parking" | "Astana" | "2026-05-26T15:20:12.735Z" | "WEBSOCKET" | 0.865 | 83 | "parking" | 66 |
| "cleaned" | "cmpms7obb00b3my3cw1268m2d" | "2026-05-26T15:20:11.735Z" | "cmpms3j580003my3cx0klbxa5" | "astana" | "WEBSOCKET" | "SIMULATED" | "parking" | "Astana" | "2026-05-26T15:20:11.735Z" | "WEBSOCKET" | 0.909 | 33 | "parking" | 29 |
| "cleaned" | "cmpms7njj00b1my3co4qz5ob7" | "2026-05-26T15:20:10.734Z" | "cmpms3j580003my3cx0klbxa5" | "astana" | "WEBSOCKET" | "SIMULATED" | "parking" | "Astana" | "2026-05-26T15:20:10.734Z" | "WEBSOCKET" | 0.92 | 27 | "parking" | 63 |
| "cleaned" | "cmpms7mrq00azmy3chajjug8z" | "2026-05-26T15:20:09.733Z" | "cmpms3j580003my3cx0klbxa5" | "astana" | "WEBSOCKET" | "SIMULATED" | "parking" | "Astana" | "2026-05-26T15:20:09.733Z" | "WEBSOCKET" | 0.957 | 73 | "parking" | 24 |
| "cleaned" | "cmpms7lzx00axmy3comjqb32v" | "2026-05-26T15:20:08.733Z" | "cmpms3j580003my3cx0klbxa5" | "astana" | "WEBSOCKET" | "SIMULATED" | "parking" | "Astana" | "2026-05-26T15:20:08.733Z" | "WEBSOCKET" | 0.821 | 41 | "parking" | 60 |
Usage
from datasets import load_dataset
# Loads all hourly CSV parts as one split
ds = load_dataset("pushthetempo/astana_test", data_files="data/hourly/*.csv", split="train")
- Downloads last month
- 16