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
platform: string
edition: string
files: list<item: string>
child 0, item: string
source_dir: string
synthetic_sample: bool
watermark: string
license: string
date_min: timestamp[s]
date_max: timestamp[s]
indicators: list<item: string>
child 0, item: string
verification: struct<sampled: int64, matched: int64, all_matched: bool>
child 0, sampled: int64
child 1, matched: int64
child 2, all_matched: bool
guardian_passed: bool
transform_stats: struct<cpi: struct<dropped_duplicates: int64, unmatched_values: int64>, labour: struct<dropped_dupli (... 110 chars omitted)
child 0, cpi: struct<dropped_duplicates: int64, unmatched_values: int64>
child 0, dropped_duplicates: int64
child 1, unmatched_values: int64
child 1, labour: struct<dropped_duplicates: int64, unmatched_values: int64>
child 0, dropped_duplicates: int64
child 1, unmatched_values: int64
child 2, household: struct<dropped_duplicates: int64, unmatched_values: int64>
child 0, dropped_duplicates: int64
child 1, unmatched_values: int64
rows_wide: int64
attribution: string
rows_long: int64
provenance: string
to
{'provenance': Value('string'), 'synthetic_sample': Value('bool'), 'watermark': Value('string'), 'attribution': Value('string'), 'license': Value('string'), 'verification': {'sampled': Value('int64'), 'matched': Value('int64'), 'all_matched': Value('bool')}, 'guardian_passed': Value('bool'), 'transform_stats': {'cpi': {'dropped_duplicates': Value('int64'), 'unmatched_values': Value('int64')}, 'labour': {'dropped_duplicates': Value('int64'), 'unmatched_values': Value('int64')}, 'household': {'dropped_duplicates': Value('int64'), 'unmatched_values': Value('int64')}}, 'edition': Value('string'), 'rows_wide': Value('int64'), 'rows_long': Value('int64'), 'indicators': List(Value('string')), 'date_min': Value('timestamp[s]'), 'date_max': Value('timestamp[s]'), 'files': List(Value('string'))}
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 478, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
platform: string
edition: string
files: list<item: string>
child 0, item: string
source_dir: string
synthetic_sample: bool
watermark: string
license: string
date_min: timestamp[s]
date_max: timestamp[s]
indicators: list<item: string>
child 0, item: string
verification: struct<sampled: int64, matched: int64, all_matched: bool>
child 0, sampled: int64
child 1, matched: int64
child 2, all_matched: bool
guardian_passed: bool
transform_stats: struct<cpi: struct<dropped_duplicates: int64, unmatched_values: int64>, labour: struct<dropped_dupli (... 110 chars omitted)
child 0, cpi: struct<dropped_duplicates: int64, unmatched_values: int64>
child 0, dropped_duplicates: int64
child 1, unmatched_values: int64
child 1, labour: struct<dropped_duplicates: int64, unmatched_values: int64>
child 0, dropped_duplicates: int64
child 1, unmatched_values: int64
child 2, household: struct<dropped_duplicates: int64, unmatched_values: int64>
child 0, dropped_duplicates: int64
child 1, unmatched_values: int64
rows_wide: int64
attribution: string
rows_long: int64
provenance: string
to
{'provenance': Value('string'), 'synthetic_sample': Value('bool'), 'watermark': Value('string'), 'attribution': Value('string'), 'license': Value('string'), 'verification': {'sampled': Value('int64'), 'matched': Value('int64'), 'all_matched': Value('bool')}, 'guardian_passed': Value('bool'), 'transform_stats': {'cpi': {'dropped_duplicates': Value('int64'), 'unmatched_values': Value('int64')}, 'labour': {'dropped_duplicates': Value('int64'), 'unmatched_values': Value('int64')}, 'household': {'dropped_duplicates': Value('int64'), 'unmatched_values': Value('int64')}}, 'edition': Value('string'), 'rows_wide': Value('int64'), 'rows_long': Value('int64'), 'indicators': List(Value('string')), 'date_min': Value('timestamp[s]'), 'date_max': Value('timestamp[s]'), 'files': List(Value('string'))}
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.
Japan Macroeconomic Indicators (English, e-Stat)
English-structured monthly time series of Japan's headline macroeconomic indicators — CPI/inflation (all-items, core, core-core), unemployment rate and household consumption — sourced from e-Stat (Portal Site of Official Statistics of Japan) and re-keyed from Japanese into stable English column names.
Quarterly GDP and the Index of Industrial Production are not included — e-Stat's API only exposes an archived GDP series ending 2018, and the current QE is published outside this API. Only API-obtainable series (current to 2026) ship.
Files
data.csv— wide time series (one row per period/cycle, one column per indicator)data.parquet— same, columnardata_long.csv— tidy, one row per observation with full provenancemanifest.json— build metadata (attribution, licence, date range, verification)
Columns (long format)
indicator, date (ISO period start), value, unit, cycle (monthly),
group, stats_data_id, provider, period_label.
Editions
This is the free teaser (headline indicators, most recent 5 years). Full edition available — complete history and the core-core CPI series.
Licence & attribution
Released under CC BY 4.0.
Source: Portal Site of Official Statistics of Japan (e-Stat), compiled by the Statistics Bureau of Japan (MIC). Provided under the Government of Japan Standard Terms of Use (v2.0), compatible with CC BY 4.0.
- Downloads last month
- 44