Datasets:
Download data/sejm_api/sejm_api.md from SlayerLab/polish-dynaword: direct link, hf CLI and curl.
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- Download file 4.35 kB
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https://huggingface.co/datasets/SlayerLab/polish-dynaword/resolve/main/data/sejm_api/sejm_api.md
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sejm_api
Contemporary official Polish Sejm speeches, supplementing existing parliamentary sources.
Dataset description
- Source (upstream): https://api.sejm.gov.pl/
- Source documentation: https://api.sejm.gov.pl/sejm.html
- Domain: political/spoken
- Language: Polish (
pl) - License:
public-domain (official documents) - Created (range): 2023-01-11, 2026-07-03
- Added: 2026-08-22
- Contributor: Piotr Styła (
PiotrStyon Hugging Face;PiotrStylaon GitHub).
Licensing — traceable basis
Official parliamentary documents and materials are excluded from copyright by article 4(2) of the Polish Copyright Act: https://eli.gov.pl/api/acts/DU/2025/24/text/O/D20250024.pdf.
Reuse of public-sector information is governed by articles 2(12), 5, 6, 14, 15 and 17 of the Polish Open Data Act: https://eli.gov.pl/api/acts/DU/2023/1524/text.html.
The per-document value intentionally matches the existing parliamentary
source. No unverified upstream Creative Commons license is asserted.
Provenance and reproducibility
- Official provider: Kancelaria Sejmu RP.
- Data route: Sejm API data via contributor snapshot. The text comes from the
Hugging Face dataset
PiotrSty/sejm-speeches-corpus@v1.0.1, not from the live API; SlayerLab did not re-fetch it from api.sejm.gov.pl. - Immutable source release:
PiotrSty/sejm-speeches-corpus@v1.0.1. - Pinned source commit:
124557799608ce4212cf22fa90ca7904618de1b6. - Reviewed DynaWord base commit:
8cc48a3c564ac9edabfbbf012842ad11f70a3e5c. - Rebuild:
python src/fetch_sejm_api.py --help, thenpython3 src/clean_sejm_api.py(trailer cut, below). - Speaker attribution and source URLs are in
sejm_api.attribution.jsonl. Eachsource_urlis a day-level listing (https://api.sejm.gov.pl/sejm/term{N}/videos/{date}), not a per-speech URL. - Slayer contribution digest:
sha256:38e42a791d68d593f82e1125f2bb94cd8f68212433e71d3e3da90f82d78eaf32.
Temporal novelty and deduplication
The Sejm material of parliamentary ends with term 8 (2019-11-11; its
Senate material is not compared: this source is Sejm-only). Every contributed
record is dated on or after 2023-01-01, so its date range does not overlap it.
Exact duplicate speech texts within the contribution are removed using
SHA-1 fingerprints; this is not a claim of global cross-domain near-deduplication.
Statistics
| Measure | Value |
|---|---|
| Source rows inspected | 157,714 |
| Rows before 2023-01-01 | 118,902 |
| Statements split into rows of their own | 2,466 |
| Rows under 200 characters | 1,371 |
| Exact duplicate texts removed | 8 |
| Documents published | 39,899 |
| Characters | 83,482,628 |
Tokens (cl100k_base proxy) |
30,860,439 |
| Documents with speaker attribution | 39,899 |
Statistics are recomputed from the released Parquet file. The canonical schema
is id, text, source, added, created, token_count, license, author.
Trailer cut
The rights audit (slayerlabs/polish-dynaword-v2#57) found that the snapshot
appends to 34,980 of the 38,812 fetched speeches a "Przebieg posiedzenia" header
of a later statement of the same sitting day, and sometimes that statement's
text. src/clean_sejm_api.py cuts every trailer (23,485,670 characters). An
appended statement with text becomes a row of its own (2,466 rows), credited to
the speaker the header names ("Przebieg posiedzenia Janusz Kowalski: …"), without
the office in its label. Its date and term are those
of the row it was cut from: the snapshot labels the 11th sitting of term 10
(2024-05-08, 2024-05-09, 2024-05-15) "11. kadencja" in 696 headers. A split row's
id hashes its date, term, speaker and text like every other row; its sidecar
line carries split_from (the id of the row it was cut from in v0.2.5) and
has_events: null, since the snapshot's events
flag describes the whole parent row. Rows that fall under the fetch's
200-character minimum after the cut (1,318 cut speeches and 53 split rows) and 8
texts that became exact duplicates are dropped.
Privacy and limitations
The upstream release heuristically redacts email addresses, PESEL identifiers and unambiguous Polish telephone numbers. Public-official names and speech attribution remain. Regex redaction is not a guarantee of zero personal data. Downstream users must review applicable privacy, third-party and source terms.