The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ArrowInvalid
Message: JSON parse error: Invalid value. in row 0
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 342, in _generate_tables
df = pandas_read_json(f)
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
return pd.read_json(path_or_buf, **kwargs)
~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 815, in read_json
return json_reader.read()
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1014, in read
obj = self._get_object_parser(self.data)
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
obj = FrameParser(json, **kwargs).parse()
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1176, in parse
self._parse()
~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1392, in _parse
ujson_loads(json, precise_float=self.precise_float), dtype=None
~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 345, in _generate_tables
raise e
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 291, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 364, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
RegBase — Japan New-Company Sales List · Free Sample (2026-11-06, 679 companies)
Japan's National Tax Agency (国税庁) publishes the national corporate registry as open data. Every day it announces new corporate-number assignments — but a large share of those announcements are late publications of companies that were actually designated months or years earlier. A raw "new registrations" file therefore mixes genuinely new companies with old ones.
RegBase's enriched list keeps only the companies whose designation date is the publication date itself, and only the two standard operating forms (株式会社 / 合同会社). This dataset is the complete free sample of that product: the full one-day file for the 2026-11-06 publication — all 679 companies, not a truncated extract.
How this sample was made (exclusion arithmetic, from the source data)
The 2026-11-06 publication announced 1,404 new designations (処理区分 01). The filter removed:
| Step | Records |
|---|---|
| New designations announced on 2026-11-06 | 1,404 |
| Removed: designation date earlier than the publication date (late publications of older companies) | −673 |
| Designated on the publication date itself | 731 |
| Removed: entity types other than 株式会社 (301) / 合同会社 (305) | −52 |
| This sample (genuinely new companies) | 679 |
Kept by entity type: 株式会社 468, 合同会社 211. The full disclosure,
including per-prefecture counts, is in summary.md.
Per-field fill counts (measured on the 679 records)
| Field | Filled |
|---|---|
| Corporate number （法人番号） | 679 |
| Company name （商号） | 679 |
| Company name, kana （商号カナ） | 673 |
| Entity type （法人種別） | 679 |
| Designation date （指定年月日） | 679 |
| Prefecture （都道府県） | 679 |
| City / municipality （市区町村） | 679 |
| Postal code （郵便番号） | 679 |
| Street address （丁目・番地等） | 679 |
The kana name is the only incomplete field: 6 companies have no kana reading in the source publication.
Files
| File | Contents |
|---|---|
data/enriched_20261106.csv |
All 679 records. UTF-8, no header row, 9 columns (schema below). Byte-identical to the product file for 2026-11-06. |
summary.md |
The product's own summary: filter conditions, the exclusion counts above, per-prefecture counts, column definitions (Japanese). |
manifest.json |
Verification file with a digital stamp (Ed25519) covering the CSV and summary — see "Verify it yourself" below. |
regbase-enriched-sample-2026-11-06.zip |
The sample package as a single download: CSV + summary + manifest + Japanese README. |
Schema (9 columns, in order)
corporate_number— 13-digit corporate number （法人番号）; import as text to keep leading zerosname— company name （商号）name_kana— company name in katakanaentity_type— entity type label （株式会社 / 合同会社）assignment_date— designation date (equals the publication date for every row)prefecture— prefecture of the registered addresscity— city / municipalitypostal_code— postal codestreet_address— street address （丁目・番地等）
Verify it yourself
manifest.json carries a digital stamp (an Ed25519 signature; format regbase-manifest/1).
It lists the SHA-256 hash, byte size and record count of each file, so you can
confirm the files are byte-for-byte what RegBase produced. The signature proves
the files have not changed since signing and were signed with the RegBase key;
it does not vouch for the accuracy of the underlying registry data, which
follows the source publication.
The product
This sample is one day. The product sells the same file per day (BOOTH) and as a monthly bundle (Coconala / note):
- BOOTH (single day): https://regbase.booth.pm/items/9114539
- Coconala (monthly bundle): https://coconala.com/services/4493766
Source and limits
- Source: National Tax Agency corporate-number publication site (https://www.houjin-bangou.nta.go.jp/), daily diff data for 2026-11-06.
- No telephone numbers or email addresses: the source publication does not contain them.
- No industry/sector column exists in the source data; records cannot be filtered by industry.
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