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
JTEGR20V400012708: struct<r: timestamp[s], m: string, i: list<item: list<item: string>>>
child 0, r: timestamp[s]
child 1, m: string
child 2, i: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
VF1BB0A0F19939499: struct<r: timestamp[s], m: string, i: list<item: list<item: string>>>
child 0, r: timestamp[s]
child 1, m: string
child 2, i: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
ZFA19200000334579: struct<r: timestamp[s], m: string, i: list<item: list<item: string>>>
child 0, r: timestamp[s]
child 1, m: string
child 2, i: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
YV1LW5522V2332216: struct<r: timestamp[s], m: string, i: list<item: list<item: string>>>
child 0, r: timestamp[s]
child 1, m: string
child 2, i: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
W0LGS57M991014676: struct<r: timestamp[s], m: string, i: list<item: list<item: string>>>
child 0, r: timestamp[s]
child 1, m: string
child 2, i: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
VF1FC1DAF36250486: struct<r: timestamp[s], m: string, i: list<item: list<item: string>>>
child 0, r: timestamp[s]
child 1, m: string
child 2, i: list<item: list<item: string>>
child 0, item: list<item: string>
...
117097: null
VF1JMSE0639029302: null
WMAH80ZZ35M406547: null
VSKJVWR51U0044697: null
VF1BB2T0531911629: null
WDB2110061A979705: null
W0L000056V5156971: null
VF1BR1S0H46440848: null
JKBZXT40AAA005162: null
WVWZZZ1KZBP140977: null
TSMEYB21S00537026: null
VF1JLCHA6BY355920: null
VF15R0G0H48088905: null
VF7SC8HR4BA608703: null
WF0PXXWPDPBL66232: null
WVWZZZ3BZ3E373069: null
VF77B9HF0EN552241: null
WVWZZZ3CZCE708654: null
SAJAB51L71WC24924: null
VF1KZ140648313164: null
VF7UA9HR8CJ730338: null
WAUZZZ8K2DA224181: null
WAUZZZ8X6DB114465: null
WBAFW11070D271818: null
WVWZZZ16ZDM683932: null
WKESD000000495832: null
W0LSD9ED8D4152781: null
LYNYAW11X01000025: null
WVWZZZAUZDP068173: null
VF1MA000556645681: null
W0LPE8EW9E8028236: null
VF3CC8HR0FT050712: null
VF1KZ490J53749205: null
VF3LC9HCGFS105532: null
WAUZZZ4G0GN044020: null
VF7NC9HP0FY506948: null
VF1BZLL0652672693: null
WV1ZZZSYZK9065356: null
WAUZZZF42GA066224: null
VF3CCHMZ6GT033610: null
WF05XXGCC5GG25754: null
WAUZZZ4G5HN057640: null
TMBEB6NH0H4502951: null
WVGZZZ1TZGW560249: null
VSSZZZAAZGD316861: null
WBA5K31060G796385: null
UU10SDCV558346001: null
UU15SDMC558725628: null
ZAPC4240400016157: null
VF1AHB40D55765255: null
SJB543GBPKD029388: null
WVWZZZAUZHP322845: null
NMTLY3FX90R009710: null
WDD1179031N537862: null
TSMJYBA2S00528196: null
WBAHU310505H49953: null
NLHB351BAJZ302198: null
W1T96340310527773: null
WBA5K71070D296051: null
ZFA31200003A16199: null
VF1HJD20060109277: null
JTEBR3FJ20K224449: null
WVWZZZ3CZJE100052: null
to
{'WDF63960113580746': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'VF1KMS40635659544': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'VF7CHNFUC98318640': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'WVWZZZ1KZ8W059344': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'VF1CB0FCF28362121': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'WBABV91040PK36684': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'WSK00000001252688': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'W0L0ZCF6871094947': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'VF7CHNFVK39443894': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'WDB9502031K480472': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'VF1JK01A639494654': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'WV2ZZZ9KZXR532780': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'KMHBT51GP6U556566': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'WF0WXXGCDW6S70685': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(
...
: Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'SJB543GBPKD029388': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'WVWZZZAUZHP322845': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'NMTLY3FX90R009710': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'WDD1179031N537862': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'TSMJYBA2S00528196': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'WBAHU310505H49953': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'NLHB351BAJZ302198': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'W1T96340310527773': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'WBA5K71070D296051': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'ZFA31200003A16199': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'VF1HJD20060109277': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'JTEBR3FJ20K224449': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'WVWZZZ3CZJE100052': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
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 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
JTEGR20V400012708: struct<r: timestamp[s], m: string, i: list<item: list<item: string>>>
child 0, r: timestamp[s]
child 1, m: string
child 2, i: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
VF1BB0A0F19939499: struct<r: timestamp[s], m: string, i: list<item: list<item: string>>>
child 0, r: timestamp[s]
child 1, m: string
child 2, i: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
ZFA19200000334579: struct<r: timestamp[s], m: string, i: list<item: list<item: string>>>
child 0, r: timestamp[s]
child 1, m: string
child 2, i: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
YV1LW5522V2332216: struct<r: timestamp[s], m: string, i: list<item: list<item: string>>>
child 0, r: timestamp[s]
child 1, m: string
child 2, i: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
W0LGS57M991014676: struct<r: timestamp[s], m: string, i: list<item: list<item: string>>>
child 0, r: timestamp[s]
child 1, m: string
child 2, i: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
VF1FC1DAF36250486: struct<r: timestamp[s], m: string, i: list<item: list<item: string>>>
child 0, r: timestamp[s]
child 1, m: string
child 2, i: list<item: list<item: string>>
child 0, item: list<item: string>
...
117097: null
VF1JMSE0639029302: null
WMAH80ZZ35M406547: null
VSKJVWR51U0044697: null
VF1BB2T0531911629: null
WDB2110061A979705: null
W0L000056V5156971: null
VF1BR1S0H46440848: null
JKBZXT40AAA005162: null
WVWZZZ1KZBP140977: null
TSMEYB21S00537026: null
VF1JLCHA6BY355920: null
VF15R0G0H48088905: null
VF7SC8HR4BA608703: null
WF0PXXWPDPBL66232: null
WVWZZZ3BZ3E373069: null
VF77B9HF0EN552241: null
WVWZZZ3CZCE708654: null
SAJAB51L71WC24924: null
VF1KZ140648313164: null
VF7UA9HR8CJ730338: null
WAUZZZ8K2DA224181: null
WAUZZZ8X6DB114465: null
WBAFW11070D271818: null
WVWZZZ16ZDM683932: null
WKESD000000495832: null
W0LSD9ED8D4152781: null
LYNYAW11X01000025: null
WVWZZZAUZDP068173: null
VF1MA000556645681: null
W0LPE8EW9E8028236: null
VF3CC8HR0FT050712: null
VF1KZ490J53749205: null
VF3LC9HCGFS105532: null
WAUZZZ4G0GN044020: null
VF7NC9HP0FY506948: null
VF1BZLL0652672693: null
WV1ZZZSYZK9065356: null
WAUZZZF42GA066224: null
VF3CCHMZ6GT033610: null
WF05XXGCC5GG25754: null
WAUZZZ4G5HN057640: null
TMBEB6NH0H4502951: null
WVGZZZ1TZGW560249: null
VSSZZZAAZGD316861: null
WBA5K31060G796385: null
UU10SDCV558346001: null
UU15SDMC558725628: null
ZAPC4240400016157: null
VF1AHB40D55765255: null
SJB543GBPKD029388: null
WVWZZZAUZHP322845: null
NMTLY3FX90R009710: null
WDD1179031N537862: null
TSMJYBA2S00528196: null
WBAHU310505H49953: null
NLHB351BAJZ302198: null
W1T96340310527773: null
WBA5K71070D296051: null
ZFA31200003A16199: null
VF1HJD20060109277: null
JTEBR3FJ20K224449: null
WVWZZZ3CZJE100052: null
to
{'WDF63960113580746': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'VF1KMS40635659544': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'VF7CHNFUC98318640': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'WVWZZZ1KZ8W059344': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'VF1CB0FCF28362121': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'WBABV91040PK36684': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'WSK00000001252688': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'W0L0ZCF6871094947': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'VF7CHNFVK39443894': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'WDB9502031K480472': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'VF1JK01A639494654': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'WV2ZZZ9KZXR532780': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'KMHBT51GP6U556566': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'WF0WXXGCDW6S70685': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(
...
: Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'SJB543GBPKD029388': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'WVWZZZAUZHP322845': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'NMTLY3FX90R009710': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'WDD1179031N537862': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'TSMJYBA2S00528196': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'WBAHU310505H49953': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'NLHB351BAJZ302198': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'W1T96340310527773': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'WBA5K71070D296051': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'ZFA31200003A16199': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'VF1HJD20060109277': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'JTEBR3FJ20K224449': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}, 'WVWZZZ3CZJE100052': {'r': Value('timestamp[s]'), 'm': Value('string'), 'i': List(List(Json(decode=True)))}}
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.
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Zbudowany z otwartych danych Ministrstva za infrastrukturo Republike Slovenije (podatki.gov.si, „Rezultati tehničnih pregledov motornih vozil”).
- zakres: 2007-04-28 – 2023-01-11, 1,927,815 VIN-ów, zbudowano 2026-10-01
base/{n/256}/{n}.json.gz– n = (pierwsze 2 bajty MD5(VIN)) mod 16384; format jak zbiór unc061/cz-stk-odometer: VIN → { r: 1. rejestracja, m: marka i model, i: [[data, km, rodzaj, 0, „sprowadzone”?]] }
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