initial addition

.vscode/settings.json

@@ -1,6 +1,6 @@
 {
     "python.testing.pytestArgs": [
-        "src/tests"
+        "src"
     ],
     "python.testing.unittestEnabled": false,
     "python.testing.pytestEnabled": true,

README.md

@@ -5,6 +5,30 @@ configs:
   data_files:
   - split: train
     path: 'data/*/*.parquet'
+- config_name: ai-aktindsigt
+  data_files:
+  - split: train
+    path: data/ai-aktindsigt/*.parquet
+- config_name: cellar
+  data_files:
+  - split: train
+    path: data/cellar/*.parquet
+- config_name: danske-taler
+  data_files:
+  - split: train
+    path: data/danske-taler/*.parquet
+- config_name: eur-lex-sum-da
+  data_files:
+  - split: train
+    path: data/eur-lex-sum-da/*.parquet
+- config_name: miljoeportalen
+  data_files:
+  - split: train
+    path: data/miljoeportalen/*.parquet
+- config_name: fm-udgivelser
+  data_files:
+  - split: train
+    path: data/fm-udgivelser/*.parquet
 - config_name: memo
   data_files:
   - split: train
@@ -275,34 +299,46 @@ This data generally contains no annotation besides the metadata attached to each
 Below follows a brief overview of the sources in the corpus along with their individual license.
 
 <!-- START-MAIN TABLE -->
-| Source              | Description                                                                                                                  | N. Tokens   | License                |
-|:--------------------|:-----------------------------------------------------------------------------------------------------------------------------|:------------|:-----------------------|
-| [memo]              | The MeMo corpus comprising almost all Danish novels from the period 1870-1899, known as the Modern Breakthrough              | 9.28M       | [CC-BY-SA 4.0]         |
-| [opensubtitles]     | Danish subsection of [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles)                        | 271.60M     | [CC-0]                 |
-| [retsinformationdk] | [retsinformation.dk](https://www.retsinformation.dk) (legal-information.dk) the official legal information system of Denmark | 516.54M     | [Danish Copyright Law] |
-| [ep]                | The Danish subsection of [Europarl](https://aclanthology.org/2005.mtsummit-papers.11/)                                       | 100.89M     | [CC-0]                 |
-| [ft]                | Records from all meetings of The Danish parliament (Folketinget) in the parliament hall                                      | 114.09M     | [CC-0]                 |
-| [wikisource]        | The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page)                                              | 5.34M       | [CC-0]                 |
-| [spont]             | Conversational samples collected as a part of research projects at Aarhus University                                         | 1.56M       | [CC-0]                 |
-| [tv2r]              | Contemporary Danish newswire articles published between 2010 and 2019                                                        | 21.67M      | [CC-BY-SA 4.0]         |
-| [adl]               | Danish literature from 1700-2023 from the Archive for Danish Literature (ADL)                                                | 58.49M      | [CC-0]                 |
-| [hest]              | Samples from the Danish debate forum www.heste-nettet.dk                                                                     | 389.33M     | [CC-0]                 |
-| [skat]              | Skat is the Danish tax authority. This dataset contains content from its website skat.dk                                     | 122.12M     | [CC-0]                 |
-| [dannet]            | [DanNet](https://cst.ku.dk/projekter/dannet) is a Danish WordNet                                                             | 1.52M       | [DanNet 1.0 License]   |
-| [retspraksis]       | Case law or judical practice in Denmark derived from [Retspraksis](https://da.wikipedia.org/wiki/Retspraksis)                | 57.08M      | [CC-0]                 |
-| [wikibooks]         | The Danish Subsection of [Wikibooks](https://www.wikibooks.org)                                                              | 6.24M       | [CC-0]                 |
-| [jvj]               | The works of the Danish author and poet, [Johannes V. Jensen](https://da.wikipedia.org/wiki/Johannes_V._Jensen)              | 3.55M       | [CC-BY-SA 4.0]         |
-| [gutenberg]         | The Danish subsection from Project [Gutenberg](https://www.gutenberg.org)                                                    | 6.76M       | [Gutenberg License]    |
-| [botxt]             | The Bornholmsk Ordbog Dictionary Projec                                                                                      | 847.97K     | [CC-0]                 |
-| [depbank]           | The Danish subsection of the [Universal Dependencies Treebank](https://github.com/UniversalDependencies/UD_Danish-DDT)       | 185.45K     | [CC-BY-SA 4.0]         |
-| [naat]              | Danish speeches from 1930-2022                                                                                               | 286.68K     | [CC-0]                 |
-| [synne]             | Dataset collected from [synnejysk forening's website](https://www.synnejysk.dk), covering the Danish dialect sønderjysk      | 52.51K      | [CC-0]                 |
-| [wiki]              | The Danish subsection of [wikipedia](https://en.wikipedia.org/wiki/Main_Page)                                                | 122.00M     | [CC-0]                 |
-| [nordjyllandnews]   | Articles from the Danish Newspaper [TV2 Nord](https://www.tv2nord.dk)                                                        | 37.91M      | [CC-0]                 |
-| [relig]             | Danish religious text from the 1700-2022                                                                                     | 1.24M       | [CC-0]                 |
-| [nota]              | The text only part of the [Nota lyd- og tekstdata](https://sprogteknologi.dk/dataset/nota-lyd-og-tekstdata) dataset          | 7.30M       | [CC-0]                 |
-| **Total**           |                                                                                                                              | 1.86B       |                        |
-
+| Source              | Description                                                                                                                                   | N. Tokens   | License                |
+|:--------------------|:----------------------------------------------------------------------------------------------------------------------------------------------|:------------|:-----------------------|
+| [synne]             | Dataset collected from [synnejysk forening's website](https://www.synnejysk.dk), covering the Danish dialect sønderjysk                       | 52.51K      | [CC-0]                 |
+| [depbank]           | The Danish subsection of the [Universal Dependencies Treebank](https://github.com/UniversalDependencies/UD_Danish-DDT)                        | 185.45K     | [CC-BY-SA 4.0]         |
+| [naat]              | Danish speeches from 1930-2022                                                                                                                | 286.68K     | [CC-0]                 |
+| [botxt]             | The Bornholmsk Ordbog Dictionary Projec                                                                                                       | 847.97K     | [CC-0]                 |
+| [relig]             | Danish religious text from the 1700-2022                                                                                                      | 1.24M       | [CC-0]                 |
+| [dannet]            | [DanNet](https://cst.ku.dk/projekter/dannet) is a Danish WordNet                                                                              | 1.52M       | [DanNet 1.0 License]   |
+| [spont]             | Conversational samples collected as a part of research projects at Aarhus University                                                          | 1.56M       | [CC-0]                 |
+| [jvj]               | The works of the Danish author and poet, [Johannes V. Jensen](https://da.wikipedia.org/wiki/Johannes_V._Jensen)                               | 3.55M       | [CC-BY-SA 4.0]         |
+| [wikisource]        | The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page)                                                               | 5.34M       | [CC-0]                 |
+| [wikibooks]         | The Danish Subsection of [Wikibooks](https://www.wikibooks.org)                                                                               | 6.24M       | [CC-0]                 |
+| [gutenberg]         | The Danish subsection from Project [Gutenberg](https://www.gutenberg.org)                                                                     | 6.76M       | [Gutenberg License]    |
+| [nota]              | The text only part of the [Nota lyd- og tekstdata](https://sprogteknologi.dk/dataset/nota-lyd-og-tekstdata) dataset                           | 7.30M       | [CC-0]                 |
+| [danske-taler]      | Danish Speeches from [dansketaler.dk](https://www.dansketaler.dk                                                                              | 8.23M       | [CC-0]                 |
+| [memo]              | The MeMo corpus comprising almost all Danish novels from the period 1870-1899, known as the Modern Breakthrough                               | 9.28M       | [CC-BY-SA 4.0]         |
+| [tv2r]              | Contemporary Danish newswire articles published between 2010 and 2019                                                                         | 21.67M      | [CC-BY-SA 4.0]         |
+| [eur-lex-sum-da]    | The Danish subsection of EUR-lex SUM consisting of EU legislation paired with professionally written summaries                                | 31.37M      | [CC-BY-SA 4.0]         |
+| [nordjyllandnews]   | Articles from the Danish Newspaper [TV2 Nord](https://www.tv2nord.dk)                                                                         | 37.91M      | [CC-0]                 |
+| [fm-udgivelser]     | The official publication series of the Danish Ministry of Finance containing economic analyses, budget proposals, and fiscal policy documents | 50.34M      | [CC-BY-SA 4.0]         |
+| [retspraksis]       | Case law or judical practice in Denmark derived from [Retspraksis](https://da.wikipedia.org/wiki/Retspraksis)                                 | 57.08M      | [CC-0]                 |
+| [adl]               | Danish literature from 1700-2023 from the Archive for Danish Literature (ADL)                                                                 | 58.49M      | [CC-0]                 |
+| [ep]                | The Danish subsection of [Europarl](https://aclanthology.org/2005.mtsummit-papers.11/)                                                        | 100.89M     | [CC-0]                 |
+| [ft]                | Records from all meetings of The Danish parliament (Folketinget) in the parliament hall                                                       | 114.09M     | [CC-0]                 |
+| [wiki]              | The Danish subsection of [wikipedia](https://en.wikipedia.org/wiki/Main_Page)                                                                 | 122.00M     | [CC-0]                 |
+| [skat]              | Skat is the Danish tax authority. This dataset contains content from its website skat.dk                                                      | 122.12M     | [CC-0]                 |
+| [miljoeportalen]    | Data from [Danmarks Miljøportalen](https://www.miljoeportal.dk/om-danmarks-miljoeportal/) (Denmark's Environment Portal                       | 128.48M     | [CC-0]                 |
+| [ai-aktindsigt]     | Multiple web scrapes from municipality websites collected as a part of the [AI-aktindsigt](https://ai-aktindsigt.dk) project                  | 139.23M     | [Apache License 2.0]   |
+| [opensubtitles]     | Danish subsection of [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles)                                         | 271.60M     | [CC-0]                 |
+| [hest]              | Samples from the Danish debate forum www.heste-nettet.dk                                                                                      | 389.33M     | [CC-0]                 |
+| [retsinformationdk] | [retsinformation.dk](https://www.retsinformation.dk) (legal-information.dk) the official legal information system of Denmark                  | 516.54M     | [Danish Copyright Law] |
+| [cellar]            | The official digital repository for European Union legal documents and open data                                                              | 1.28B       | [CC-BY-SA 4.0]         |
+| **Total**           |                                                                                                                                               | 3.49B       |                        |
+
+[ai-aktindsigt]: data/ai-aktindsigt/ai-aktindsigt.md
+[cellar]: data/cellar/cellar.md
+[danske-taler]: data/danske-taler/danske-taler.md
+[eur-lex-sum-da]: data/eur-lex-sum-da/eur-lex-sum-da.md
+[miljoeportalen]: data/miljoeportalen/miljoeportalen.md
+[fm-udgivelser]: data/fm-udgivelser/fm-udgivelser.md
 [memo]: data/memo/memo.md
 [opensubtitles]: data/opensubtitles/opensubtitles.md
 [retsinformationdk]: data/retsinformationdk/retsinformationdk.md
@@ -331,13 +367,14 @@ Below follows a brief overview of the sources in the corpus along with their ind
 
 [CC-0]: https://creativecommons.org/publicdomain/zero/1.0/legalcode.en
 [CC-BY-SA 4.0]: https://creativecommons.org/licenses/by-sa/4.0/deed.en
+[Apache 2.0]: https://www.apache.org/licenses/LICENSE-2.0
 [Danish Copyright Law]: ./data/retsinformationdk/retsinformationdk.md#license-information
 [DanNet 1.0 License]: ./data/dannet/dannet.md#license-information
 [Gutenberg License]: ./data/gutenberg/gutenberg.md#license-information
 <!-- END-MAIN TABLE -->
 
 
-You can learn more about each dataset by pressing 
+You can learn more about each dataset by pressing the link.
 
 <!-- ### Quality Control
 

data/ai-aktindsigt/ai-aktindsigt.md

@@ -0,0 +1,90 @@
+---
+pretty_name: AI Aktindsigt
+language:
+  - da
+license: apache-2.0
+license_name: Apache License 2.0
+task_categories:
+  - text-generation
+  - fill-mask
+task_ids:
+  - language-modeling
+source_datasets:
+  - AI-aktindsigt/Skrabet_kommunale_hjemmesider
+---
+
+# Dataset Card for AI Aktindsigt
+
+<!-- START-SHORT DESCRIPTION -->
+Multiple web scrapes from municipality websites collected as a part of the [AI-aktindsigt](https://ai-aktindsigt.dk) project.
+<!-- END-SHORT DESCRIPTION -->
+
+The dataset consists of multiple scrapes of municipal websites compiled in connection with the work on the [AI-aktindsigt](https://ai-aktindsigt.dk) project. The scrape is made across different domains from several different municipalities.
+
+## Dataset Description
+
+
+<!-- START-DESC-STATS -->
+- **Language**: dan, dansk, Danish
+- **Number of samples**: 200.91K
+- **Number of tokens (Llama 3)**: 139.23M
+- **Average document length (characters)**: 2030.75
+<!-- END-DESC-STATS -->
+
+
+## Dataset Structure
+An example from the dataset looks as follows.
+
+
+<!-- START-SAMPLE -->
+```py
+{
+  "text": "Vallensbæk Stationstorv 100 2665 Vallensbæk Strand Telefon: +45 4797 4000",
+  "source": "ai-aktindsigt",
+  "id": "ai-aktindsigt_0",
+  "added": "2025-03-24",
+  "created": "2010-01-01, 2024-03-18",
+  "license": "Apache-2.0",
+  "domain": "Web",
+  "metadata": {
+    "source-pretty": "AI Aktindsigt"
+  }
+}
+```
+
+### Data Fields
+
+An entry in the dataset consists of the following fields:
+
+- `text`(`str`): The content of the document.
+- `source` (`str`): The source of the document (see [Source Data](#source-data)).
+- `id` (`str`): An unique identifier for each document.
+- `added` (`str`): An date for when the document was added to this collection.
+- `created` (`str`): An date range for when the document was originally created.
+- `license` (`str`): The license of the document. The licenses vary according to the source. 
+- `domain` (`str`): The domain of the source
+- `metadata/source-pretty` (`str`): The long form version of the short-form source name
+- `metadata/*`: Potentially additional metadata
+<!-- END-SAMPLE -->
+
+
+### Dataset Statistics
+
+<!-- START-DATASET PLOTS -->
+<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
+<img>
+<!-- END-DATASET PLOTS -->
+
+
+
+## Additional Information
+
+
+
+### Sourced data
+This dataset is derived from [`AI-aktindsigt/Skrabet_kommunale_hjemmesider`](https://huggingface.co/datasets/AI-aktindsigt/Skrabet_kommunale_hjemmesider/tree/main
+)
+
+### Citation Information
+
+No citation is applicable for this work. We recommend citing the huggingface repository.

data/ai-aktindsigt/ai-aktindsigt.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b395bdf2fe3c9f7beb8b7073a1aea72952237e2a63965302ebd199ca46af632a
+size 213799195

data/ai-aktindsigt/create.py

@@ -0,0 +1,63 @@
+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "datasets>=3.2.0",
+# ]
+# ///
+"""
+This script is used to create the data for the AI-aktindsigt project.
+
+This derived the data from a .json.gz file.
+"""
+
+from pathlib import Path
+from typing import cast
+
+from datasets import Dataset, load_dataset
+
+source = "ai-aktindsigt"
+
+def convert_sample(example):
+    # {'text': 'Vallensbæk Stationstorv 100 2665 Vallensbæk Strand Telefon: +45 4797 4000',
+    # 'id': '0_03fe7662f6d37df0ffbf5013907414f935350db9931043891a95ed830965a507a7bcb4df93741429bdfa4958cf25f6c273aa73146f2be80948f767eb5fa04645',
+    # 'source': 'AI-aktindsigt',
+    # 'added': '2024-04-16T12:35:52.000Z',
+    # 'metadata': {'url': 'https://vallensbaek.dk/', 'kommune': 'vallensbaek', 'sentence': 1,
+    # 'ppl_score': [634.6341],
+    # 'sha512': '03fe7662f6d37df0ffbf5013907414f935350db9931043891a95ed830965a507a7bcb4df93741429bdfa4958cf25f6c273aa73146f2be80948f767eb5fa04645'}
+    # }
+
+    new_example = dict(
+        text_new=example["text"],
+        source=source,
+        domain="Web",
+        license="Apache-2.0",
+        added="2025-03-24",
+        created="2010-01-01, 2024-03-18",  # Start date is approximate guess end date is the date of the last update
+        metadata={"source-pretty": "AI Aktindsigt"},
+    )
+
+    return new_example
+
+
+def main():
+    data_path = Path(
+        "/work/dfm-data/pre-training/ai_aktindsigt/documents/ai_aktindsigt.jsonl.gz"
+    )
+    ds = load_dataset("json", data_files=data_path.as_posix(), split="train")
+
+    ds = cast(Dataset, ds)
+
+    ds = ds.map(convert_sample, remove_columns=ds.column_names)
+    ds = ds.rename_columns({"text_new": "text"})
+    ds = ds.add_column("id", [f"{source}_{i}" for i in range(len(ds))])  # type: ignore
+    ds = ds.select_columns(
+        ["text", "source", "id", "added", "created", "license", "domain", "metadata"]
+    )
+
+    save_path = Path(__file__).parent / f"{source}.parquet"
+    ds.to_parquet(save_path)
+
+
+if __name__ == "__main__":
+    main()

data/ai-aktindsigt/descriptive_stats.json

@@ -0,0 +1,7 @@
+{
+  "number_of_samples": 200914,
+  "average_document_length": 2030.7490916511542,
+  "number_of_tokens": 139234696,
+  "language": "dan, dansk, Danish",
+  "revision": "62e1cea23e4c6154d47ca4d78d731478623a99b9"
+}

data/cellar/cellar.md

@@ -0,0 +1,82 @@
+---
+pretty_name: Cellar
+language:
+  - da
+license: cc-by-sa-4.0
+license_name: CC-BY-SA 4.0
+task_categories:
+  - text-generation
+  - fill-mask
+task_ids:
+  - language-modeling
+---
+
+# Dataset Card for Finansministeriets Udgivelser
+
+<!-- START-SHORT DESCRIPTION -->
+The official digital repository for European Union legal documents and open data.
+<!-- END-SHORT DESCRIPTION -->
+
+The EU Dataset Cellar serves as the central access point for all official EU publications, legislation, and open data resources. Maintained by the Publications Office of the European Union, this comprehensive digital archive contains millions of documents in multiple languages, including regulations, directives, decisions, treaties, case law, and preparatory acts dating back decades. The repository employs standardized metadata and unique identifiers to organize its vast collection, making it an essential resource for researchers, legal professionals, policymakers, and citizens seeking authoritative information on EU law and policy. The Cellar's linked data architecture also enables sophisticated search capabilities and integration with other information systems across the European Union's digital landscape.
+
+
+## Dataset Description
+
+<!-- START-DESC-STATS -->
+- **Language**: dan, dansk, Danish
+- **Number of samples**: 65.74K
+- **Number of tokens (Llama 3)**: 1.28B
+- **Average document length (characters)**: 64221.30
+<!-- END-DESC-STATS -->
+
+
+## Dataset Structure
+An example from the dataset looks as follows.
+
+
+<!-- START-SAMPLE -->
+```py
+{
+  "text": "\n\n\n\n© Европейски съюз, 2017 г.\n\nВъзпроизвеждането е разрешено при позоваване на оригинала.\n\n© Unión [...]",
+  "source": "cellar",
+  "id": "cellar_0",
+  "added": "2025-03-25",
+  "created": "2024-01-01, 2026-01-01",
+  "license": "cc-by-sa-4.0",
+  "domain": "Legal",
+  "metadata": {
+    "source-pretty": "Cellar"
+  }
+}
+```
+
+### Data Fields
+
+An entry in the dataset consists of the following fields:
+
+- `text`(`str`): The content of the document.
+- `source` (`str`): The source of the document (see [Source Data](#source-data)).
+- `id` (`str`): An unique identifier for each document.
+- `added` (`str`): An date for when the document was added to this collection.
+- `created` (`str`): An date range for when the document was originally created.
+- `license` (`str`): The license of the document. The licenses vary according to the source. 
+- `domain` (`str`): The domain of the source
+- `metadata/source-pretty` (`str`): The long form version of the short-form source name
+- `metadata/*`: Potentially additional metadata
+<!-- END-SAMPLE -->
+
+
+### Dataset Statistics
+
+<!-- START-DATASET PLOTS -->
+<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
+<img>
+<!-- END-DATASET PLOTS -->
+
+
+
+## Additional Information
+
+### Citation Information
+
+No citation is applicable for this work.

data/cellar/cellar.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:90fb4cadd0d6ab84c7e1c6e9029210e0bfadaa1d9a503240067d4069d38b9bcd
+size 1433372916

data/cellar/create.py

@@ -0,0 +1,60 @@
+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "datasets>=3.2.0",
+# ]
+# ///
+
+from pathlib import Path
+from typing import cast
+from datasets import Dataset, load_dataset, concatenate_datasets
+
+source = "cellar"
+
+
+def convert_sample(example):
+    new_example = dict(
+        text_new=example["text"],
+        source=source,
+        domain="Legal",
+        license="cc-by-sa-4.0",
+        added="2025-03-25",
+        created="2024-01-01, 2026-01-01",  # Scrape happened within these years - data likely written earlier
+        metadata={"source-pretty": "Cellar"},
+    )
+
+    return new_example
+
+
+def main():
+    data_path = Path("/work/dfm-data/pre-training/cellar/documents")
+    data_paths = [p.as_posix() for p in data_path.glob("DAN*.jsonl.gz")]
+    dfs = []
+    for i, path in enumerate(data_paths):
+        print(i, path.split("/")[-1])
+        try:
+            ds = load_dataset(
+                "json", data_files=path, split="train"
+            )  # a few datasets fail to load
+            dfs.append(ds)
+            print("\tSuccess")
+        except Exception:
+            print("\tFail")
+
+    ds = concatenate_datasets(dsets=dfs)
+
+    ds = cast(Dataset, ds)
+
+    ds = ds.map(convert_sample, remove_columns=ds.column_names)
+    ds = ds.rename_columns({"text_new": "text"})
+    ds = ds.add_column("id", [f"{source}_{i}" for i in range(len(ds))])  # type: ignore
+    ds = ds.select_columns(
+        ["text", "source", "id", "added", "created", "license", "domain", "metadata"]
+    )
+
+    save_path = Path(__file__).parent / f"{source}.parquet"
+    ds.to_parquet(save_path)
+
+
+if __name__ == "__main__":
+    main()

data/cellar/descriptive_stats.json

@@ -0,0 +1,7 @@
+{
+  "number_of_samples": 65736,
+  "average_document_length": 64221.30202628697,
+  "number_of_tokens": 1280909738,
+  "language": "dan, dansk, Danish",
+  "revision": "62e1cea23e4c6154d47ca4d78d731478623a99b9"
+}

data/danske-taler/create.py

@@ -0,0 +1,219 @@
+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "beautifulsoup4==4.13.3",
+#     "datasets>=3.0.0",
+# ]
+# ///
+"""
+Danske Taler API Downloader
+This script downloads speeches/articles from the Danske Taler API: https://www.dansketaler.dk/api/v1
+
+It saves it into the following structure:
+
+```
+{
+  "text": "Lav et referat af nedenstående tekst:\n\nTekst:\nOpdatering: Manden er nu fundet af Nordjyllands Politi[...]",
+  "source": "nordjyllandnews",
+  "id": "nordjyllandnews_0",
+  "added": "2024-12-16",
+  "created": "2000-01-01, 2024-01-01",
+  "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal",
+  "domain": "News",
+  "metadata": {
+    "source-pretty": "Nordjylland News"
+  }
+}
+```
+
+"""
+
+import logging
+import time
+from datetime import date
+from pathlib import Path
+from typing import Any
+
+import datasets
+import pandas as pd
+import requests
+from bs4 import BeautifulSoup
+from tqdm import tqdm
+
+logger = logging.getLogger(__name__)
+
+# Configuration
+API_BASE_URL = "https://www.dansketaler.dk/api/v1"
+
+
+def get_all_speeches() -> list[dict[str, Any]]:
+    # fetch first page, notably the total number of pages
+    url = f"{API_BASE_URL}/speeches"
+    response = requests.get(url)
+    response.raise_for_status()
+    speeches = response.json()
+    meta = speeches["meta"]
+    total_pages = meta["total_pages"]
+
+    # fetch all pages
+    all_speeches = []
+    for page in range(1, total_pages + 1):
+        url = f"{API_BASE_URL}/speeches?page={page}"
+        response = requests.get(url)
+        response.raise_for_status()
+        speeches = response.json()
+        all_speeches.extend(speeches["speeches"])
+
+    return all_speeches
+
+
+def fetch_license_div(
+    url: str, max_retries: int = 3, backoff_factor: float = 0.5
+) -> str | None:
+    """
+    Fetches the license div from the page with retry logic.
+
+    Args:
+        url: The URL to fetch the license div from
+        max_retries: Maximum number of retry attempts
+        backoff_factor: Factor to determine exponential backoff time between retries
+
+    Returns:
+        The text content of the license div if found, None otherwise
+    """
+    retries = 0
+
+    while retries <= max_retries:
+        try:
+            response = requests.get(url, timeout=10)
+            response.raise_for_status()
+
+            soup = BeautifulSoup(response.text, "html.parser")
+            license_div = soup.find("div", class_="speech-copyright")
+
+            return license_div.text if license_div else None
+
+        except (requests.RequestException, AttributeError) as e:
+            retries += 1
+
+            if retries > max_retries:
+                print(f"Failed to fetch license after {max_retries} attempts: {str(e)}")
+                return None
+
+            # Calculate backoff time using exponential backoff
+            wait_time = backoff_factor * (2 ** (retries - 1))
+            print(f"Attempt {retries} failed. Retrying in {wait_time:.2f} seconds...")
+            time.sleep(wait_time)
+
+    return None
+
+
+def convert_to_license(license_information: str | None) -> str | None:
+    """checks if "Materialet er fri af ophavsret" is in the page"""
+
+    if license_information and (
+        ("Materialet er fri af ophavsret" in license_information)
+        or ("Materialet er fri af ophvasret" in license_information)
+        or ("Ophavsretten er bortfaldet" in license_information)
+        or ("Manuskriptet er fri af ophavsret" in license_information)
+        or ("Offentlig " == license_information)
+    ):
+        return "cc0"
+
+    return license_information
+
+
+def convert_to_row(speech_meta: dict[str, Any]) -> dict[str, Any]:
+    speech_id = speech_meta["id"]
+
+    date_of_speech = speech_meta["date"]["iso_date"]
+    date_of_speech_start = f"{date_of_speech}"
+    date_of_speech_end = f"{date_of_speech}"
+
+    license_information = fetch_license_div(speech_meta["url"])
+
+    row = {
+        "text": speech_meta["transcription"],
+        "source": "danske-taler",
+        "id": f"danske-taler_{speech_id}",
+        # current date
+        "added": date.today().isoformat(),
+        "created": f"{date_of_speech_start}, {date_of_speech_end}",
+        "license_information": license_information,
+        "domain": "Spoken",
+        "metadata": {"source-pretty": "Danske Taler"},
+    }
+
+    return row
+
+
+def download_speeches() -> pd.DataFrame:
+    logger.info("Fetching all speeches from Danske Taler API")
+    speeches = get_all_speeches()
+    logger.info(f"Found {len(speeches)} speeches")
+
+    rows = []
+    for speech in tqdm(speeches):
+        row = convert_to_row(speech)
+        rows.append(row)
+
+    logger.info(f"Saving {len(rows)} speeches to dataset")
+    df = pd.DataFrame(rows)
+    return df
+
+
+def main():
+    save_path = Path(__file__).parent / "danske-taler.parquet"
+    save_path_all = Path(__file__).parent / "tmp" / "danske-taler-all.parquet"
+    save_path_all.parent.mkdir(parents=False, exist_ok=True)
+
+    if save_path_all.exists():
+        logger.info(f"Loading dataset from {save_path_all}")
+        df = pd.read_parquet(save_path_all)
+    else:
+        logger.info(f"Downloading speeches and saving to {save_path_all}")
+        df = download_speeches()
+        df.to_parquet(save_path_all)
+
+    licenses = [convert_to_license(license) for license in df["license_information"]]
+    df["license"] = licenses
+
+    uniques_licenses = set(df["license"].tolist())
+    logger.info("Unique licenses:")
+    for license in uniques_licenses:
+        logger.info(f"\t{license}")
+
+    # remove documents without a cc0 license
+    len_df = len(df)
+    df = df[df["license"] == "cc0"]
+    logger.info(f"Removed {len_df - len(df)} documents without a cc0 license")
+
+    # remove duplicate ids
+    len_df = len(df)
+    df = df.drop_duplicates(subset=["id"])
+    logger.info(f"Removed {len_df - len(df)} duplicate ids")
+
+    # remove rows with empty text
+    len_df = len(df)
+    df = df[df["text"].str.strip() != ""]
+    logger.info(f"Removed {len_df - len(df)} rows with empty text")
+
+    # remove rows with duplicate text
+    len_df = len(df)
+    df = df.drop_duplicates(subset=["text"])
+    logger.info(f"Removed {len_df - len(df)} rows with duplicate text")
+
+    dataset = datasets.Dataset.from_pandas(df)
+    assert len(set(dataset["id"])) == len(dataset), "IDs are not unique"
+    assert len(set(dataset["text"])) == len(dataset), "Texts are not unique"
+    assert len(set(dataset["license"])) == 1, "Multiple licenses found"
+
+    # check for html tags in text
+    assert not df["text"].str.contains("<[^>]*>").any(), "HTML tags found in text"
+
+    dataset.to_parquet(save_path)
+
+
+if __name__ == "__main__":
+    logging.basicConfig(level=logging.INFO)
+    main()

data/danske-taler/danske-taler.md

@@ -0,0 +1,138 @@
+---
+pretty_name: Danske Taler
+language:
+  - da
+license: cc0-1.0
+license_name: CC-0
+task_categories:
+  - text-generation
+  - fill-mask
+task_ids:
+  - language-modeling
+---
+
+# Dataset Card for Nordjylland News
+
+<!-- START-SHORT DESCRIPTION -->
+Danish Speeches from [dansketaler.dk](https://www.dansketaler.dk)
+<!-- END-SHORT DESCRIPTION -->
+
+
+The database dansketaler.dk is managed by Danske Taler, an independent institution that in addition to managing the database and carries out cultural
+and democratic projects based on speeches. 
+Danske Taler state as their goals that they seek to preserve our cultural heritage and promotes active citizenship and democratic confidence through its work. 
+Additionally, Danske Taler provides data to a number of online resources, including: lex.dk, sprogteknologi.dk, and ordnet.dk.
+
+The goal of the dataset is to collect historical and timely speeches and make them available for the public.
+
+Learn more about danske taler by reading their [about us](https://www.dansketaler.dk/om-os) page.
+
+## Dataset Description
+
+
+<!-- START-DESC-STATS -->
+- **Language**: dan, dansk, Danish
+- **Number of samples**: 2.66K
+- **Number of tokens (Llama 3)**: 8.23M
+- **Average document length (characters)**: 9446.88
+<!-- END-DESC-STATS -->
+
+
+## Dataset Structure
+An example from the dataset looks as follows.
+
+
+<!-- START-SAMPLE -->
+```py
+{
+  "text": "Den 1. august i år var der forløbet 25 år siden den sidste verdenskrigs udbrud. En måned senere - de[...]",
+  "source": "danske-taler",
+  "id": "danske-taler_278",
+  "added": "2025-03-28",
+  "created": "1939-09-20T00:00:00Z, 1939-09-20T23:59:59Z",
+  "license": "cc0",
+  "license_information": "Materialet er fri af ophavsret",
+  "domain": "Spoken",
+  "metadata": {
+    "source-pretty": "Danske Taler"
+  },
+  "__index_level_0__": 20
+}
+```
+
+### Data Fields
+
+An entry in the dataset consists of the following fields:
+
+- `text`(`str`): The content of the document.
+- `source` (`str`): The source of the document (see [Source Data](#source-data)).
+- `id` (`str`): An unique identifier for each document.
+- `added` (`str`): An date for when the document was added to this collection.
+- `created` (`str`): An date range for when the document was originally created.
+- `license` (`str`): The license of the document. The licenses vary according to the source. 
+- `domain` (`str`): The domain of the source
+- `metadata/source-pretty` (`str`): The long form version of the short-form source name
+- `metadata/*`: Potentially additional metadata
+<!-- END-SAMPLE -->
+
+
+### Dataset Statistics
+
+<!-- START-DATASET PLOTS -->
+<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
+<img>
+<!-- END-DATASET PLOTS -->
+
+
+
+## Additional Information
+
+
+### Dataset Collection Process
+
+This dataset was collected using the publicly available [API](https://www.dansketaler.dk/api/v1). 
+
+### Quality Assurance
+We check for and remove exact duplicates, empty texts, duplicate ids after the initial download. We additionally check if the articles contain any HTML.
+
+## Opportunities for Improvement
+
+While this dataset can be updated to include the latest availabe speeches. 
+
+We consider the quality of the current collection high with a low chance of 
+incorrect formatting, 
+spelling errors,
+empty documents or 
+misformatted segments. 
+This stems both from the quality assurance, source of documents and subjective inspection.
+
+### License Information
+Since the license information isn't avaiable through the API we collect this data directly from the webpage of each article under the header 
+"Ophavsret".
+
+For speeches where it is noted that *"Materialet er fri af ophavsret"* (The material is in the public domain) or similarly we assign it a `cc0` license.
+
+Such an example can be seen here:
+
+> **Ophavsret**
+> 
+> Materialet er fri af ophavsret. Taler, som er holdt i offentligheden, er ikke omfattet af ophavsret (Jf. ophavsretslovens § 26 og 32). 
+> Det betyder, at når en tale er indgået i Danske Talers database, kan den bruges af tredjeparter, fx til undervisning eller forskning.
+>
+> *source: [Ursula von der Leyens tale om europæisk forsvar og sikkerhed på Hærens Officersskole](https://www.dansketaler.dk/tale/tale-om-europaeisk-forsvar-og-sikkerhed-pa-haerens-officersskole)*
+
+Speeches without this mention is removed. Such an example include:
+
+> **Ophavsret**
+> 
+> Materialet er beskyttet af ophavsret
+>
+> *Source: [Christina Egelunds tale ved Aarhus Universitets årsfest](https://www.dansketaler.dk/tale/christina-egelunds-tale-ved-aarhus-universitets-arsfest)*
+
+We manually checked the unique set of license descriptions to see if any were open licenses that weren't included in the current criteria.
+
+For specific filtering criteria see the `create.py` script.
+
+### Citation Information
+
+No citation is applicable for this work. We recommend citing the huggingface repository.

data/danske-taler/danske-taler.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:654fbad07d68e4ec79dfa09aca5e6f9e96a889d336872b7b6d562fcbb83cbd94
+size 15091764

data/danske-taler/descriptive_stats.json

@@ -0,0 +1,7 @@
+{
+  "number_of_samples": 2657,
+  "average_document_length": 9446.875799774181,
+  "number_of_tokens": 8225350,
+  "language": "dan, dansk, Danish",
+  "revision": "62e1cea23e4c6154d47ca4d78d731478623a99b9"
+}

data/eur-lex-sum-da/create.py

@@ -0,0 +1,50 @@
+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "datasets>=3.2.0",
+# ]
+# ///
+
+from pathlib import Path
+from typing import cast
+
+from datasets import Dataset, load_dataset
+
+source = "eur-lex-sum-da"
+
+
+def convert_sample(example):
+    new_example = dict(
+        text_new=example["text"],
+        source=source,
+        domain="Legal",
+        license="cc-by-sa-4.0",
+        added="2025-03-24",
+        created="2024-01-01, 2025-01-01",  # Scrape happen within the year - data likely written earlier
+        metadata={"source-pretty": "Eur-lex-sum-da"},
+    )
+
+    return new_example
+
+
+def main():
+    data_path = Path(
+        "/work/dfm-data/pre-training/eur-lex-sum-da/documents/eur-lex-sum-da.jsonl.gz"
+    )
+    ds = load_dataset("json", data_files=data_path.as_posix(), split="train")
+
+    ds = cast(Dataset, ds)
+
+    ds = ds.map(convert_sample, remove_columns=ds.column_names)
+    ds = ds.rename_columns({"text_new": "text"})
+    ds = ds.add_column("id", [f"{source}_{i}" for i in range(len(ds))])  # type: ignore
+    ds = ds.select_columns(
+        ["text", "source", "id", "added", "created", "license", "domain", "metadata"]
+    )
+
+    save_path = Path(__file__).parent / f"{source}.parquet"
+    ds.to_parquet(save_path)
+
+
+if __name__ == "__main__":
+    main()

data/eur-lex-sum-da/descriptive_stats.json

@@ -0,0 +1,7 @@
+{
+  "number_of_samples": 1002,
+  "average_document_length": 87627.37025948103,
+  "number_of_tokens": 31367665,
+  "language": "dan, dansk, Danish",
+  "revision": "62e1cea23e4c6154d47ca4d78d731478623a99b9"
+}

data/eur-lex-sum-da/eur-lex-sum-da.md

@@ -0,0 +1,86 @@
+---
+pretty_name: EUR-Lex SUM
+language:
+  - da
+license: cc-by-sa-4.0
+license_name: CC-BY-SA 4.0
+task_categories:
+  - text-generation
+  - fill-mask
+task_ids:
+  - language-modeling
+---
+
+# Dataset Card for EUR-Lex SUM
+
+<!-- START-SHORT DESCRIPTION -->
+The Danish subsection of EUR-lex SUM consisting of EU legislation paired with professionally written summaries.
+<!-- END-SHORT DESCRIPTION -->
+
+EUR-Lex SUM is a dataset containing summaries of EU legislation from the EUR-Lex database. It consists of pairs of full legal texts and their corresponding professionally written summaries, covering European Union legal documents.
+The dataset is designed for training and evaluating automatic text summarization systems, particularly for legal documents. It's valuable for natural language processing (NLP) research since it provides high-quality, human-written summaries of complex legal texts in a specialized domain.
+
+
+## Dataset Description
+
+<!-- START-DESC-STATS -->
+- **Language**: dan, dansk, Danish
+- **Number of samples**: 1.00K
+- **Number of tokens (Llama 3)**: 31.37M
+- **Average document length (characters)**: 87627.37
+<!-- END-DESC-STATS -->
+
+
+## Dataset Structure
+An example from the dataset looks as follows.
+
+
+<!-- START-SAMPLE -->
+```py
+{
+  "text": "21.6.2019\nDA\nDen Europæiske Unions Tidende\nL 166/26\nKOMMISSIONENS DELEGEREDE FORORDNING (EU) 2019/98[...]",
+  "source": "eur-lex-sum-da",
+  "id": "eur-lex-sum-da_0",
+  "added": "2025-03-24 00:00:00",
+  "created": "2024-01-01, 2025-01-01",
+  "license": "cc-by-sa-4.0",
+  "domain": "Legal",
+  "metadata": {
+    "source-pretty": "Eur-lex-sum-da"
+  }
+}
+```
+
+### Data Fields
+
+An entry in the dataset consists of the following fields:
+
+- `text`(`str`): The content of the document.
+- `source` (`str`): The source of the document (see [Source Data](#source-data)).
+- `id` (`str`): An unique identifier for each document.
+- `added` (`str`): An date for when the document was added to this collection.
+- `created` (`str`): An date range for when the document was originally created.
+- `license` (`str`): The license of the document. The licenses vary according to the source. 
+- `domain` (`str`): The domain of the source
+- `metadata/source-pretty` (`str`): The long form version of the short-form source name
+- `metadata/*`: Potentially additional metadata
+<!-- END-SAMPLE -->
+
+
+### Dataset Statistics
+
+<!-- START-DATASET PLOTS -->
+<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
+<img>
+<!-- END-DATASET PLOTS -->
+
+
+
+## Additional Information
+
+
+
+
+### Citation Information
+
+No citation is applicable for this work.

data/eur-lex-sum-da/eur-lex-sum-da.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:960737a58b29e80b12f5150dacd7e0559c2ec7d3f2878a626e264b92595d9c02
+size 35849965

data/fm-udgivelser/create.py

@@ -0,0 +1,50 @@
+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "datasets>=3.2.0",
+# ]
+# ///
+
+from pathlib import Path
+from typing import cast
+
+from datasets import Dataset, load_dataset
+
+source = "fm-udgivelser"
+
+
+def convert_sample(example):
+    new_example = dict(
+        text_new=example["text"],
+        source=source,
+        domain="Legal",
+        license="cc-by-sa-4.0",
+        added="2025-03-24",
+        created="2024-01-01, 2026-01-01",  # Scrape happen within these years - data likely written earlier
+        metadata={"source-pretty": "Finansministeriets Udgivelser"},
+    )
+
+    return new_example
+
+
+def main():
+    data_path = Path(
+        "/work/dfm-data/pre-training/fm-udgivelser/documents/finans-ministeriet.jsonl.gz"
+    )
+    ds = load_dataset("json", data_files=data_path.as_posix(), split="train")
+
+    ds = cast(Dataset, ds)
+
+    ds = ds.map(convert_sample, remove_columns=ds.column_names)
+    ds = ds.rename_columns({"text_new": "text"})
+    ds = ds.add_column("id", [f"{source}_{i}" for i in range(len(ds))])  # type: ignore
+    ds = ds.select_columns(
+        ["text", "source", "id", "added", "created", "license", "domain", "metadata"]
+    )
+
+    save_path = Path(__file__).parent / f"{source}.parquet"
+    ds.to_parquet(save_path)
+
+
+if __name__ == "__main__":
+    main()

data/fm-udgivelser/descriptive_stats.json

@@ -0,0 +1,7 @@
+{
+  "number_of_samples": 443,
+  "average_document_length": 490101.9300225734,
+  "number_of_tokens": 50335291,
+  "language": "dan, dansk, Danish",
+  "revision": "62e1cea23e4c6154d47ca4d78d731478623a99b9"
+}

data/fm-udgivelser/fm-udgivelser.md

@@ -0,0 +1,92 @@
+---
+pretty_name: Finansministeriets Udgivelser
+language:
+  - da
+license: cc-by-sa-4.0
+license_name: CC-BY-SA 4.0
+task_categories:
+  - text-generation
+  - fill-mask
+task_ids:
+  - language-modeling
+---
+
+# Dataset Card for Finansministeriets Udgivelser
+
+<!-- START-SHORT DESCRIPTION -->
+The official publication series of the Danish Ministry of Finance containing economic analyses, budget proposals, and fiscal policy documents.
+<!-- END-SHORT DESCRIPTION -->
+
+Finansministeriets Udgivelser (translated as "Publications of the Ministry of Finance") is the publishing arm or publication series of the Danish Ministry of Finance. It includes official reports, economic analyses, budget proposals, fiscal policy documents, and various other publications related to Denmark's public finances, economic policy, and financial governance.
+
+These publications typically provide insights into Denmark's economic outlook, public spending plans, tax policies, and financial reforms. They serve as important reference materials for economists, policy makers, researchers, and citizens interested in understanding Denmark's financial policies and economic direction.
+
+The publications are authoritative sources of information on Danish fiscal policy and are often used by various stakeholders to track and analyze the country's economic performance and public finance management.
+
+
+## Dataset Description
+
+<!-- START-DESC-STATS -->
+- **Language**: dan, dansk, Danish
+- **Number of samples**: 443
+- **Number of tokens (Llama 3)**: 50.34M
+- **Average document length (characters)**: 490101.93
+<!-- END-DESC-STATS -->
+
+
+## Dataset Structure
+An example from the dataset looks as follows.
+
+
+<!-- START-SAMPLE -->
+```py
+{
+  "text": "\n\nFinanslov for\n\nfinansåret 2023 Tekst og anmærkninger\n\n§ 1. Dronningen\n\n\n\n\n\n§ 1.\n\nDronningen\n\nTekst[...]",
+  "source": "fm-udgivelser",
+  "id": "fm-udgivelser_0",
+  "added": "2025-03-24",
+  "created": "2024-01-01, 2026-01-01",
+  "license": "cc-by-sa-4.0",
+  "domain": "Legal",
+  "metadata": {
+    "source-pretty": "Finansministeriets Udgivelser"
+  }
+}
+```
+
+### Data Fields
+
+An entry in the dataset consists of the following fields:
+
+- `text`(`str`): The content of the document.
+- `source` (`str`): The source of the document (see [Source Data](#source-data)).
+- `id` (`str`): An unique identifier for each document.
+- `added` (`str`): An date for when the document was added to this collection.
+- `created` (`str`): An date range for when the document was originally created.
+- `license` (`str`): The license of the document. The licenses vary according to the source. 
+- `domain` (`str`): The domain of the source
+- `metadata/source-pretty` (`str`): The long form version of the short-form source name
+- `metadata/*`: Potentially additional metadata
+<!-- END-SAMPLE -->
+
+
+### Dataset Statistics
+
+<!-- START-DATASET PLOTS -->
+<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
+<img>
+<!-- END-DATASET PLOTS -->
+
+
+
+## Additional Information
+
+<!-- 
+### How was the data collected 
+
+TOOD: KRISTIAN
+-->
+
+### Citation Information
+
+No citation is applicable for this work.

data/fm-udgivelser/fm-udgivelser.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:402b9281913aba87938e0600a994cb0387331efd7cf73829699b5103989d8747
+size 59885539

data/miljoeportalen/create.py

@@ -0,0 +1,50 @@
+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "datasets>=3.2.0",
+# ]
+# ///
+
+from pathlib import Path
+from typing import cast
+
+from datasets import Dataset, load_dataset
+
+source = "miljoeportalen"
+
+
+def convert_sample(example):
+    new_example = dict(
+        text_new=example["text"],
+        source=source,
+        domain="Web",
+        license="cc0",
+        added="2025-03-24",
+        created="2024-01-01, 2025-01-01",  # Scrape happen within the year - data likely written earlier
+        metadata={"source-pretty": "Miljøportalen"},
+    )
+
+    return new_example
+
+
+def main():
+    data_path = Path(
+        "/work/dfm-data/pre-training/miljoeportal/documents/miljoeportal.jsonl.gz"
+    )
+    ds = load_dataset("json", data_files=data_path.as_posix(), split="train")
+
+    ds = cast(Dataset, ds)
+
+    ds = ds.map(convert_sample, remove_columns=ds.column_names)
+    ds = ds.rename_columns({"text_new": "text"})
+    ds = ds.add_column("id", [f"{source}_{i}" for i in range(len(ds))])  # type: ignore
+    ds = ds.select_columns(
+        ["text", "source", "id", "added", "created", "license", "domain", "metadata"]
+    )
+
+    save_path = Path(__file__).parent / f"{source}.parquet"
+    ds.to_parquet(save_path)
+
+
+if __name__ == "__main__":
+    main()

data/miljoeportalen/descriptive_stats.json

@@ -0,0 +1,7 @@
+{
+  "number_of_samples": 2169,
+  "average_document_length": 224704.25034578147,
+  "number_of_tokens": 128477101,
+  "language": "dan, dansk, Danish",
+  "revision": "62e1cea23e4c6154d47ca4d78d731478623a99b9"
+}

data/miljoeportalen/miljoeportalen.md

@@ -0,0 +1,103 @@
+---
+pretty_name: Miljøportalen
+language:
+  - da
+license: cc0
+license_name: CC-0
+task_categories:
+  - text-generation
+  - fill-mask
+task_ids:
+  - language-modeling
+---
+
+# Dataset Card for Miljøportalen
+
+<!-- START-SHORT DESCRIPTION -->
+Data from [Danmarks Miljøportalen](https://www.miljoeportal.dk/om-danmarks-miljoeportal/) (Denmark's Environment Portal)
+<!-- END-SHORT DESCRIPTION -->
+
+Denmark's Environment Portal (Danmarks Miljøportal) is a joint public partnership owned by the state, municipalities, and regions, which aims to support digital environmental management in Denmark.
+
+Danmarks Miljøportal's goal is for environmental data to be included early in all decisions that have an environmental impact. They do this by creating easy and open access to environmental data, making it possible for authorities and businesses to integrate the environment into their decisions.
+
+This can be decisions specifically targeted at the environment such as water plans, Green Tripartite Agreement, biodiversity and nature restoration, but also decisions about, for example, renewable energy, climate adaptation, new roads, residential areas, and industrial enterprises, where environmental aspects need to be considered.
+
+
+## Dataset Description
+
+<!-- START-DESC-STATS -->
+- **Language**: dan, dansk, Danish
+- **Number of samples**: 2.17K
+- **Number of tokens (Llama 3)**: 128.48M
+- **Average document length (characters)**: 224704.25
+<!-- END-DESC-STATS -->
+
+
+## Dataset Structure
+An example from the dataset looks as follows.
+
+
+<!-- START-SAMPLE -->
+```py
+{
+  "text": "Bila110  g   1 101 10 - miljTIL R  lj  TIL RTIL RøraÆTSHUSKO  pp  ÆTSHUS KOÆTSHUS Kort\n\nLOKALPLAN NR[...]",
+  "source": "miljoeportalen",
+  "id": "miljoeportalen_0",
+  "added": "2025-03-24",
+  "created": "2024-01-01, 2025-01-01",
+  "license": "cc0",
+  "domain": "Web",
+  "metadata": {
+    "source-pretty": "Miljøportalen"
+  }
+}
+```
+
+### Data Fields
+
+An entry in the dataset consists of the following fields:
+
+- `text`(`str`): The content of the document.
+- `source` (`str`): The source of the document (see [Source Data](#source-data)).
+- `id` (`str`): An unique identifier for each document.
+- `added` (`str`): An date for when the document was added to this collection.
+- `created` (`str`): An date range for when the document was originally created.
+- `license` (`str`): The license of the document. The licenses vary according to the source. 
+- `domain` (`str`): The domain of the source
+- `metadata/source-pretty` (`str`): The long form version of the short-form source name
+- `metadata/*`: Potentially additional metadata
+<!-- END-SAMPLE -->
+
+
+### Dataset Statistics
+
+<!-- START-DATASET PLOTS -->
+<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
+<img>
+<!-- END-DATASET PLOTS -->
+
+
+
+## Additional Information
+
+
+<!-- ### Data includes
+
+TODO: KRISTIAN I assume this is just the website or is it also reports? 
+-->
+
+### License information
+This dataset is licensed under CCO this license was clarified by [email protected]: 
+ 
+> Data er underlagt Creative Common CC0, se:
+> https://creativecommons.org/publicdomain/zero/1.0/deed.da.
+> 
+> Lad mig vide hvis du har yderligere spørgsmål.
+> Har du spørgsmål til din sag eller yderligere kommentarer, bedes du besvare denne mail.
+
+
+
+### Citation Information
+
+No citation is applicable for this work.

data/miljoeportalen/miljoeportalen.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5342a7dbeaf5fa93b48b78f16308867d07e0c0ec1053830f0df7acb8f774eacf
+size 169639678

src/tests/test_dataset_schema.py

@@ -48,7 +48,7 @@ def test_sample_schema(repo_path: Path, dataset_name: str):
 class FrontmatterSchema(BaseModel):
     pretty_name: str
     language: list[Literal["da"]]
-    license: Literal["cc0-1.0", "other", "cc-by-sa-4.0"]
+    license: Literal["cc0-1.0", "other", "cc-by-sa-4.0", "apache-2.0"]
 
 
 @pytest.mark.parametrize("dataset_name", DATASET_NAMES)

src/update_descriptive_statistics.py

@@ -14,6 +14,7 @@ import multiprocessing
 from dataclasses import dataclass
 from pathlib import Path
 from textwrap import dedent
+from datetime import datetime
 from typing import Self, cast
 
 import pandas as pd
@@ -31,7 +32,6 @@ repo_path = Path(__file__).parent.parent
 tokenizer_name = "AI-Sweden-Models/Llama-3-8B-instruct"
 tokenizer = AutoTokenizer.from_pretrained(tokenizer_name, use_fast=True)
 
-
 def human_readable_large_int(value: int) -> str:
     thresholds = [
         (1_000_000_000, "B"),
@@ -64,12 +64,13 @@ def _count_tokens(batch):
 def calculate_number_of_tokens(
     dataset: Dataset,
     text_column: str = "text",
+    num_proc: int = 1,
 ) -> int:
     token_counts = dataset.map(
         _count_tokens,
         batched=True,
         batch_size=1000,
-        num_proc=multiprocessing.cpu_count(),
+        num_proc=num_proc,
     )
     return sum(token_counts["token_count"])
 
@@ -82,11 +83,11 @@ class DescriptiveStatsOverview:
     language: str = "dan, dansk, Danish"
 
     @classmethod
-    def from_dataset(cls, dataset: Dataset) -> Self:
+    def from_dataset(cls, dataset: Dataset, num_proc: int = 1) -> Self:
         return cls(
             number_of_samples=len(dataset),
             average_document_length=calculate_average_document_length(dataset),
-            number_of_tokens=calculate_number_of_tokens(dataset),
+            number_of_tokens=calculate_number_of_tokens(dataset, num_proc=num_proc),
         )
 
     def to_markdown(self) -> str:
@@ -149,8 +150,10 @@ def add_sample(markdown_path: Path, dataset: Dataset, max_str_len: int = 100):
     logger.info("Adding dataset sample to readme")
     sample = dataset[0]
     for k in sample:
-        if isinstance(k, str) and len(sample[k]) > max_str_len:
+        if isinstance(sample[k], str) and len(sample[k]) > max_str_len:
             sample[k] = sample[k][:max_str_len] + "[...]"
+        if isinstance(sample[k], datetime):
+            sample[k] = str(sample[k])
 
     json_sample = json.dumps(sample, indent=2, ensure_ascii=False)
     sample_str = sample_template.format(sample=json_sample)
@@ -205,9 +208,10 @@ def add_desc_statitics(
     markdown_path: Path,
     dataset: Dataset,
     desc_stats_path: Path,
+    num_proc: int = 1,
 ) -> None:
     logger.info("Adding descriptive statistics to readme.")
-    desc_stats = DescriptiveStatsOverview.from_dataset(dataset)
+    desc_stats = DescriptiveStatsOverview.from_dataset(dataset, num_proc=num_proc)
     desc_stats.to_disk(desc_stats_path)
     desc_stats.add_to_markdown(markdown_path)
 
@@ -217,6 +221,7 @@ def update_dataset(
     name: str,
     readme_name: None | str = None,
     force: bool = False,
+    num_proc: int = 1,
 ) -> None:
     rev = get_latest_revision(dataset_path)
     desc_stats_path = dataset_path / "descriptive_stats.json"
@@ -241,10 +246,10 @@ def update_dataset(
     ds = load_dataset(str(repo_path), name, split="train")
     ds = cast(Dataset, ds)
 
-    add_desc_statitics(markdown_path, ds, desc_stats_path)
+    add_desc_statitics(markdown_path, ds, desc_stats_path, num_proc=num_proc)
     add_sample(markdown_path, ds)
     add_descriptive_statistics_plots(markdown_path, ds)
-
+    
 
 def create_parser():
     parser = argparse.ArgumentParser(
@@ -275,6 +280,12 @@ def create_parser():
         type=str,
         help="The repository where to calculate the descriptive statistics from",
     )
+    parser.add_argument(
+        "--num_proc",
+        default=multiprocessing.cpu_count(),
+        type=int,
+        help="The number of processes to use.",
+    )
     return parser
 
 
@@ -297,6 +308,7 @@ def create_main_table(repo_path: Path = repo_path) -> tuple[pd.DataFrame, str, s
     license_references = (
         "[CC-0]: https://creativecommons.org/publicdomain/zero/1.0/legalcode.en\n"
         + "[CC-BY-SA 4.0]: https://creativecommons.org/licenses/by-sa/4.0/deed.en\n"
+        + "[Apache 2.0]: https://www.apache.org/licenses/LICENSE-2.0\n"
     )
 
     for dataset in datasets:
@@ -331,7 +343,9 @@ def create_main_table(repo_path: Path = repo_path) -> tuple[pd.DataFrame, str, s
     table["N. Tokens"] += [sum(table["N. Tokens"])]
 
     df = pd.DataFrame.from_dict(table)
+    df = df.sort_values("N. Tokens")
     df["N. Tokens"] = df["N. Tokens"].apply(human_readable_large_int)
+
     return df, readme_references, license_references
 
 
@@ -352,21 +366,28 @@ def main(
     logging_level: int = 20,
     force: bool = False,
     repo_path: Path = repo_path,
+    num_proc: int | None = None,
 ) -> None:
     logging.basicConfig(level=logging_level)
 
+    num_proc = multiprocessing.cpu_count() if num_proc is None else num_proc
+
     if dataset and dataset != "default":
         dataset_path = repo_path / "data" / dataset
-        update_dataset(dataset_path, dataset_path.name, force=force)
+        update_dataset(dataset_path, dataset_path.name, force=force, num_proc=num_proc)
         return
 
     if dataset is None:
         datasets = (repo_path / "data").glob("*")
         for dataset_path in datasets:
-            update_dataset(dataset_path, dataset_path.name, force=force)
+            update_dataset(
+                dataset_path, dataset_path.name, force=force, num_proc=num_proc
+            )
 
     if dataset is None or dataset == "default":
-        update_dataset(repo_path, "default", "README.md", force=force)
+        update_dataset(
+            repo_path, "default", "README.md", force=force, num_proc=num_proc
+        )
         update_main_table(repo_path)
 
 
@@ -379,4 +400,5 @@ if __name__ == "__main__":
         logging_level=args.logging_level,
         force=args.force,
         repo_path=Path(args.repo_path),
+        num_proc=args.num_proc,
     )

uv.lock

@@ -202,7 +202,7 @@ wheels = [
 
 [[package]]
 name = "danish-dynaword"
-version = "1.0.9"
+version = "1.0.10"
 source = { virtual = "." }
 dependencies = [
     { name = "datasets" },