Datasets:
id int64 240 26.3k | type stringclasses 2
values | date stringdate 2002-12-09 00:00:00 2026-03-19 00:00:00 | year stringdate 2003-01-01 00:00:00 2026-01-01 00:00:00 | category stringclasses 2
values | name stringclasses 792
values | pdf stringclasses 2
values | html stringlengths 3.57k 306k | xhtml stringlengths 1.37k 218k | md stringlengths 0 147k |
|---|---|---|---|---|---|---|---|---|---|
240 | Regleringsbrev | 2002-12-20 | 2003 | Myndighet | Konjunkturinstitutet | False | <section id="letter" aria-label="Regleringsbrev" class="body">
<table class="universe_tbl" border="0" align="center">
<tr>
<td>
<table border="0" width="100%">
<tr width="100%">
<td colspan="3" height="10px">
<br />
</td>
</tr>
<tr width="100%">
<td class="logo" rowspan="2">
<img src="/assets/images/regeringen.gif... | <html>
<body>
<p>Finansdepartementet</p>
<p>Regeringsbeslut 6</p>
<p>2002-12-20</p>
<p>Fi2002/4796 (delvis)</p>
<p>Konjunkturinstitutet</p>
<p>Box 3116</p>
<p>103 62 STOCKHOLM</p>
<h1>Regleringsbrev för budgetåret 2003 avseende Konjunkturinstitutet</h1>
<p>Riksdagen har beslutat om... | Finansdepartementet
Regeringsbeslut 6
2002-12-20
Fi2002/4796 (delvis)
Konjunkturinstitutet
Box 3116
103 62 STOCKHOLM
# Regleringsbrev för budgetåret 2003 avseende Konjunkturinstitutet
Riksdagen har beslutat om Konjunkturinstitutets verksamhet för budgetåret 2003 (prop. 2002/03:1, utg.omr. 2, bet. 2002/03:FiU2, ... |
241 | Regleringsbrev | 2002-12-20 | 2003 | Myndighet | Statens jordbruksverk | False | "<section id=\"letter\" aria-label=\"Regleringsbrev\" class=\"body\">\n \n<table class=\"universe(...TRUNCATED) | "<html>\n <body>\n <p>Jordbruksdepartementet</p>\n <p>Regeringsbeslut Nr: 1</p>\n <p>2002-(...TRUNCATED) | "Jordbruksdepartementet\n\nRegeringsbeslut Nr: 1\n\n2002-12-20\n\nJo1997/934\n\nJo2002/673, 3076 (de(...TRUNCATED) |
242 | Regleringsbrev | 2002-12-20 | 2003 | Myndighet | Statens utsädeskontroll | False | "<section id=\"letter\" aria-label=\"Regleringsbrev\" class=\"body\">\n \n<table class=\"universe(...TRUNCATED) | "<html>\n <body>\n <p>Jordbruksdepartementet</p>\n <p>Regeringsbeslut Nr: 4</p>\n <p>2002-(...TRUNCATED) | "Jordbruksdepartementet\n\nRegeringsbeslut Nr: 4\n\n2002-12-20\n\nJo2002/3076 (delvis)\n\nStatens ut(...TRUNCATED) |
243 | Regleringsbrev | 2002-12-19 | 2003 | Myndighet | Regeringskansliet | False | "<section id=\"letter\" aria-label=\"Regleringsbrev\" class=\"body\">\n \n<table class=\"universe(...TRUNCATED) | "<html>\n <body>\n <p>Justitiedepartementet</p>\n <p>Regeringsbeslut Nr:55</p>\n <p>2002-1(...TRUNCATED) | "Justitiedepartementet\n\nRegeringsbeslut Nr:55\n\n2002-12-19\n\nJu2002/8899/KRIM\n\nJu2002/9142/KRI(...TRUNCATED) |
245 | Regleringsbrev | 2002-12-12 | 2003 | Myndighet | Skatteverket | False | "<section id=\"letter\" aria-label=\"Regleringsbrev\" class=\"body\">\n \n<table class=\"universe(...TRUNCATED) | "<html>\n <body>\n <p>Finansdepartementet</p>\n <p>Regeringsbeslut 18, 20</p>\n <p>2002-12(...TRUNCATED) | "Finansdepartementet\n\nRegeringsbeslut 18, 20\n\n2002-12-12\n\nFi2002/4500\n\nFi2002/4797 (delvis)\(...TRUNCATED) |
246 | Regleringsbrev | 2003-01-14 | 2003 | Myndighet | Gentekniknämnden | False | "<section id=\"letter\" aria-label=\"Regleringsbrev\" class=\"body\">\n \n<table class=\"universe(...TRUNCATED) | "<html>\n <body>\n <p>Justitiedepartementet</p>\n <p>Regeringsbeslut</p>\n <p>2003-01-14</(...TRUNCATED) | "Justitiedepartementet\n\nRegeringsbeslut\n\n2003-01-14\n\nJu2002/9142/\n\nDOM (delvis)\n\nGenteknik(...TRUNCATED) |
247 | Regleringsbrev | 2003-01-10 | 2003 | Myndighet | Justitiekanslern | False | "<section id=\"letter\" aria-label=\"Regleringsbrev\" class=\"body\">\n \n<table class=\"universe(...TRUNCATED) | "<html>\n <body>\n <p>Justitiedepartementet</p>\n <p>Regeringsbeslut</p>\n <p>2003-01-10</(...TRUNCATED) | "Justitiedepartementet\n\nRegeringsbeslut\n\n2003-01-10\n\nJu2002/8930/\n\nDOM (delvis)\n\nJu2002/91(...TRUNCATED) |
248 | Regleringsbrev | 2002-12-19 | 2003 | Myndighet | Allmänna reklamationsnämnden | False | "<section id=\"letter\" aria-label=\"Regleringsbrev\" class=\"body\">\n \n<table class=\"universe(...TRUNCATED) | "<html>\n <body>\n <p>Justitiedepartementet</p>\n <p>Regeringsbeslut Nr:94</p>\n <p>2002-1(...TRUNCATED) | "Justitiedepartementet\n\nRegeringsbeslut Nr:94\n\n2002-12-19\n\nJu2002/9062/KO\n\nAllmänna reklama(...TRUNCATED) |
249 | Regleringsbrev | 2002-12-20 | 2003 | Myndighet | Sametinget | False | "<section id=\"letter\" aria-label=\"Regleringsbrev\" class=\"body\">\n \n<table class=\"universe(...TRUNCATED) | "<html>\n <body>\n <p>Jordbruksdepartementet</p>\n <p>Regeringsbeslut Nr: 9</p>\n <p>2002-(...TRUNCATED) | "Jordbruksdepartementet\n\nRegeringsbeslut Nr: 9\n\n2002-12-20\n\nJo2002/625, 2995, 3076\n\nSameting(...TRUNCATED) |
250 | Regleringsbrev | 2002-12-19 | 2003 | Myndighet | Arkitekturmuseet | False | "<section id=\"letter\" aria-label=\"Regleringsbrev\" class=\"body\">\n \n<table class=\"universe(...TRUNCATED) | "<html>\n <body>\n <p>Kulturdepartementet</p>\n <p>Regeringsbeslut Nr: 34</p>\n <p>2002-12(...TRUNCATED) | "Kulturdepartementet\n\nRegeringsbeslut Nr: 34\n\n2002-12-19\n\nKu2002/2701/Sam (delvis), m.fl.\n\nA(...TRUNCATED) |
Öppna Statsliggaren
This is a dataset containing the Swedish government's letters of missions to its government agencies.
The letters are fetched in their raw HTML format from Statskontoret's website (on a page called Statsliggaren) using a scraper run on Github every night. A list of all the letters and attachments with metadata is published in the Github repository.
The letters are first cleaned into a more consistent and minimal XHTML version (that is meant to be as lossless as possible) and then converted to a (lossy) Markdown version. In this dataset, you find these three versions and the metadata.
Reuse the dataset
Unfortunately, the whole dataset has to be downloaded, even if you only need some of its columns or rows. But you don't need to load everything into memory. Using HuggingFace's Python libraries, you can just pick a subset of the columns.
path = hf_hub_download(
repo_id="PierreMesure/oppna-statsliggaren",
repo_type="dataset",
filename="letters.parquet",
table = pq.read_table(path, columns=["id", "md"]
)
df = table.to_pandas()
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