every entry in Poland's National Court Register (Krajowy Rejestr Sądowy), about 1.2 million companies and associations, parsed from the full extract PDFs and updated weekly.

from datasets import load_dataset

krs = load_dataset("tiagozip/krs", split="train")

format

one parquet file, data/krs.parquet, one row per KRS number.

column	type	notes
`krs`	string	10 digit KRS number
`register`	string	`entrepreneurs` or `associations`
`deleted`	bool	removed from the register
`as_of`	timestamp	when the extract was issued
`name`	string
`short_name`	string
`legal_form`	string	e.g. `limitedLiabilityCompany`
`regon`	string	statistical id
`nip`	string	tax id
`voivodeship`	string	seat
`county`	string	seat
`municipality`	string	seat
`city`	string	seat
`street`	string	address
`street_number`	string	address
`postal_code`	string	address
`email`	string
`website`	string
`registered_on`	date	date of the first registry entry
`share_capital`	decimal(20,2)
`share_capital_currency`	string	almost always `PLN`
`data`	json	the full parsed extract

data has everything else: every registry entry, boards and representatives, shareholders, partners, branches, filings, bankruptcy, liquidation, mergers and so on. sections are present only when the extract has them.

what this is not

not the official register. this is parsed from PDFs, and the parser can get sections wrong. check the source at ekrs.ms.gov.pl before relying on a value.

license

tiago.zip/license

disclaimers

access can be revoked at any time and all data is provided as-is. this dataset contains personal information about real people, a lot of whom are not public figures. this dataset is not a reflection of the views of the author or the institutions they are affiliated with. please be respectful.

citation

@misc{krs,
  title  = {krs: a parsed copy of Poland's National Court Register},
  author = {tiagozip},
  year   = {2026},
  url    = {https://huggingface.co/datasets/tiagozip/krs}
}

Downloads last month: 34

Total file size:

1.18 GB