update-retsinformationdk (#72)

- Creating a `create.py`script for retsinformation and updating the data, adding 300M tokens. (7882b352a458abc55ce6c6147691a76814e5605c)
- Merge branch 'main' into pr/72 (bcb374cb39c593a23e26534d5f2f182dee3edceb)
- Performing a force update on all datasets after merge. (7851ed46cc0dd8d2ee55ee180f58cd3dd0b77eb1)
- Bumped version and added changelog (af27fd779845c6cf9d4bdcd56c681a48577b6905)

CHANGELOG.md

@@ -5,6 +5,17 @@ All notable changes to this project will be documented in this file.
 
 The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
+## [v1.2.3] - 2025-06-30
+
+### Added
+
+- Added a `create.py` script for the `retsinformationdk` dataset.
+  - Resulted in a boost in tokens and documents  
+
+### Changed
+
+- Did a full stats update on datasets, resulting in minor changes in a few datasheets
+
 ## [v1.2.2] - 2025-06-26
 
 ### Added

README.md

@@ -178,7 +178,7 @@ https://github.com/huggingface/datasets/blob/main/templates/README_guide.md
 <!-- START README TABLE -->
 |              |                                                                                                                                                             |
 | ------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| **Version** | 1.2.2 ([Changelog](/CHANGELOG.md)) |
+| **Version** | 1.2.3 ([Changelog](/CHANGELOG.md)) |
 | **Language** | dan, dansk, Danish                                                                                                                                          |
 | **License**  | Openly Licensed, See the respective dataset                                                                                                                 |
 | **Models**   | For model trained used this data see [danish-foundation-models](https://huggingface.co/danish-foundation-models)                                            |
@@ -215,9 +215,9 @@ https://github.com/huggingface/datasets/blob/main/templates/README_guide.md
 
 <!-- START-DESC-STATS -->
 - **Language**: dan, dansk, Danish
-- **Number of samples**: 915.09K
-- **Number of tokens (Llama 3)**: 4.40B
-- **Average document length (characters)**: 14778.01
+- **Number of samples**: 951.89K
+- **Number of tokens (Llama 3)**: 4.70B
+- **Average document length (characters)**: 15168.87
 <!-- END-DESC-STATS -->
 
 
@@ -318,8 +318,8 @@ Below follows a brief overview of the sources in the corpus along with their ind
 | Source               | Description                                                                                                                                                                            | Domain       | N. Tokens   | License                |
 |:---------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------|:------------|:-----------------------|
 | [cellar]             | The official digital repository for European Union legal documents and open data                                                                                                       | Legal        | 1.15B       | [CC-BY-SA 4.0]         |
+| [retsinformationdk]  | [retsinformation.dk](https://www.retsinformation.dk) (legal-information.dk) the official legal information system of Denmark                                                           | Legal        | 818.25M     | [Danish Copyright Law] |
 | [ncc_books]          | Danish books extracted from the [Norwegian Colossal Corpus](https://huggingface.co/datasets/NbAiLab/NCC) derived from OCR                                                              | Books        | 531.97M     | [CC-0]                 |
-| [retsinformationdk]  | [retsinformation.dk](https://www.retsinformation.dk) (legal-information.dk) the official legal information system of Denmark                                                           | Legal        | 516.35M     | [Danish Copyright Law] |
 | [hest]               | Samples from the Danish debate forum www.heste-nettet.dk                                                                                                                               | Social Media | 389.32M     | [CC-0]                 |
 | [ncc_parliament]     | Collections from the Norwegian parliament in Danish. Extracted from the [Norwegian Colossal Corpus](https://huggingface.co/datasets/NbAiLab/NCC) derived from ocr                      | Other        | 338.87M     | [NLOD 2.0]             |
 | [opensubtitles]      | Danish subsection of [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles)                                                                                  | Conversation | 271.60M     | [CC-0]                 |
@@ -338,7 +338,7 @@ Below follows a brief overview of the sources in the corpus along with their ind
 | [ncc_maalfrid]       | Danish content from Norwegian institutions websites                                                                                                                                    | Web          | 29.26M      | [NLOD 2.0]             |
 | [scrape_hovedstaden] | Guidelines and informational documents for healthcare professionals from the Capital Region                                                                                            | Medical      | 27.07M      | [CC-0]                 |
 | [tv2r]               | Contemporary Danish newswire articles published between 2010 and 2019                                                                                                                  | News         | 21.67M      | [CC-BY-SA 4.0]         |
-| [danske-taler]       | Danish Speeches from [dansketaler.dk](https://www.dansketaler.dk)                                                                                                                      | Conversation | 8.81M       | [CC-0]                 |
+| [danske-taler]       | Danish Speeches from [dansketaler.dk](https://www.dansketaler.dk)                                                                                                                      | Conversation | 8.72M       | [CC-0]                 |
 | [nota]               | The text only part of the [Nota lyd- og tekstdata](https://sprogteknologi.dk/dataset/nota-lyd-og-tekstdata) dataset                                                                    | Readaloud    | 7.30M       | [CC-0]                 |
 | [gutenberg]          | The Danish subsection from Project [Gutenberg](https://www.gutenberg.org)                                                                                                              | Books        | 6.76M       | [Gutenberg]            |
 | [wikibooks]          | The Danish Subsection of [Wikibooks](https://www.wikibooks.org)                                                                                                                        | Books        | 6.24M       | [CC-0]                 |
@@ -352,7 +352,7 @@ Below follows a brief overview of the sources in the corpus along with their ind
 | [naat]               | Danish speeches from 1930-2022                                                                                                                                                         | Conversation | 286.68K     | [CC-0]                 |
 | [depbank]            | The Danish subsection of the [Universal Dependencies Treebank](https://github.com/UniversalDependencies/UD_Danish-DDT)                                                                 | Other        | 185.45K     | [CC-BY-SA 4.0]         |
 | [synne]              | Dataset collected from [synnejysk forening's website](https://www.synnejysk.dk), covering the Danish dialect sønderjysk                                                                | Other        | 52.02K      | [CC-0]                 |
-| **Total**            |                                                                                                                                                                                        |              | 4.40B       |                        |
+| **Total**            |                                                                                                                                                                                        |              | 4.70B       |                        |
 
 [ai-aktindsigt]: data/ai-aktindsigt/ai-aktindsigt.md
 [cellar]: data/cellar/cellar.md

data/danske-taler/danske-taler.md

@@ -40,8 +40,8 @@ Learn more about danske taler by reading their [about us](https://www.dansketale
 - **Language**: dan, dansk, Danish
 - **Domains**: Conversation, Speeches, Spoken
 - **Number of samples**: 2.91K
-- **Number of tokens (Llama 3)**: 8.81M
-- **Average document length (characters)**: 9228.65
+- **Number of tokens (Llama 3)**: 8.72M
+- **Average document length (characters)**: 9140.42
 <!-- END-DESC-STATS -->
 
 
@@ -53,7 +53,7 @@ An example from the dataset looks as follows.
 ```py
 {
   "id": "danske-taler_281",
-  "text": "Tyske landsmænd og -kvinder !\n\nSyv år er kort tid, en brøkdel af en enkel menneskelig normaltilværel[...]",
+  "text": "Tyske landsmænd og -kvinder !\nSyv år er kort tid, en brøkdel af en enkel menneskelig normaltilværels[...]",
   "source": "danske-taler",
   "added": "2025-06-24",
   "created": "1940-01-30, 1940-01-30",

data/danske-taler/descriptive_stats.json

@@ -1,6 +1,6 @@
 {
   "number_of_samples": 2912,
-  "average_document_length": 9228.645260989011,
-  "number_of_tokens": 8809004,
-  "revision": "8d056aba9953ef0cf4c402ccb9deff745d8307af"
+  "average_document_length": 9140.421703296703,
+  "number_of_tokens": 8723951,
+  "revision": "bcb374cb39c593a23e26534d5f2f182dee3edceb"
 }

data/ncc_newspaper/ncc_newspaper.md

@@ -25,6 +25,7 @@ The Norwegian Colossal Corpus is a collection of multiple smaller Norwegian corp
 
 <!-- START-DESC-STATS -->
 - **Language**: dan, dansk, Danish
+- **Domains**: News
 - **Number of samples**: 5.37K
 - **Number of tokens (Llama 3)**: 1.05M
 - **Average document length (characters)**: 571.69

data/retsinformationdk/create.py

@@ -0,0 +1,166 @@
+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "datasets==3.2.0",
+#     "pandas",
+#     "requests",
+#     "trafilatura",
+#     "dynaword"
+# ]
+# [tool.uv.sources]
+# dynaword = { git = "https://huggingface.co/datasets/danish-foundation-models/danish-dynaword", rev = "00e7f2aee7f7ad2da423419f77ecbb9c0536de0d" }
+# ///
+
+from datetime import date, datetime
+from io import StringIO
+import logging
+from pathlib import Path
+import pandas as pd
+import requests
+from requests.adapters import HTTPAdapter
+from urllib3 import Retry
+from trafilatura import extract
+from datasets import Dataset
+from tqdm import tqdm
+
+from dynaword.process_dataset import (
+    add_token_count,
+    ensure_column_order,
+    remove_duplicate_text,
+    remove_empty_texts,
+)
+
+TMP_DIR = Path(__file__).parent / "tmp"
+
+BASE_URL = "https://www.retsinformation.dk/api/document/eli"
+
+logger = logging.getLogger(__name__)
+today = date.today()
+
+
+def create_session_with_retries(retries=2, backoff_factor=0.5):
+    session = requests.Session()
+    retry_strategy = Retry(
+        total=retries,
+        backoff_factor=backoff_factor,
+        status_forcelist=[500, 502, 503, 504],
+        allowed_methods=["GET"],
+        respect_retry_after_header=True,
+    )
+    adapter = HTTPAdapter(max_retries=retry_strategy)
+    session.mount("http://", adapter)
+    session.mount("https://", adapter)
+    return session
+
+
+def fetch_document_list():
+    download = True
+    csv_content = ""
+
+    df: pd.DataFrame = pd.DataFrame()
+
+    if TMP_DIR.exists():
+        files = list(TMP_DIR.glob("*.csv"))
+        file = sorted(files, reverse=True)[0]
+
+        file_date = datetime.strptime(file.stem, "%Y-%m-%d").date()
+
+        if (today - file_date).days < 180:
+            download = False
+            df = pd.read_csv(file)
+
+    if download:
+        logger.info("Downloading list of files from Retsinformation.dk")
+        response = requests.get(
+            "https://www.retsinformation.dk/api/documentsearch/csv?dt=10&dt=1480&dt=20&dt=30&dt=40&dt=50&dt=90&dt=120&dt=270&dt=60&dt=100&dt=80&dt=110&dt=130&dt=140&dt=150&dt=160&dt=170&dt=180&dt=200&dt=210&dt=220&dt=1510&dt=1490&dt=-10&dt=230&dt=240&dt=250&dt=260&dt=980&dt=360&dt=400&dt=380&dt=420&dt=1530&dt=440&dt=450&dt=430&dt=1540&dt=460&dt=410&dt=370&dt=480&dt=390&dt=500&dt=510&dt=520&dt=490&dt=300&dt=310&dt=320&dt=330&dt=340&dt=350&o=40"
+        )
+        # response = requests.get(url, headers=headers)
+        response.raise_for_status()  # Raise error for bad responses
+
+        # The response is a gzip-compressed CSV in plain text
+        csv_content = response.content.decode("utf-16", errors="replace")
+        logger.info("Downloaded list of documents")
+
+        # Optionally parse with pandas
+        df = pd.read_csv(StringIO(csv_content), sep=";")  # Assuming semicolon separator
+
+        df.to_csv(TMP_DIR / (today.strftime("%Y-%m-%d") + ".csv"), index=False)
+
+    return df[
+        [
+            "DokumentType",
+            "DokumentId",
+            "Titel",
+            "Ressort",
+            "Historisk",
+            "PubliceretTidspunkt",
+            "EliUrl",
+        ]
+    ]
+
+
+def fetch_document(doc_info: pd.Series, session: requests.Session) -> dict:
+    url = BASE_URL + doc_info["EliUrl"].strip().split("eli")[1]
+
+    response = session.post(
+        url,
+        headers={
+            "Accept": "application/json",
+            "Content-Type": "application/json",
+        },
+        json={},
+    )
+    response.raise_for_status()
+
+    return response.json()[0]
+
+
+def main():
+    save_path = Path(__file__).parent / "retsinformationdk.parquet"
+    documents = fetch_document_list()
+
+    logger.info(f"Found {len(documents)} documents from retsinformationdk")
+
+    session = create_session_with_retries()
+    docs = []
+    for idx, doc_info in tqdm(documents.iterrows(), total=len(documents)):
+        if doc_info["Historisk"]:
+            continue
+        try:
+            doc = fetch_document(doc_info, session)
+            text = extract(doc["documentHtml"], output_format="markdown")
+            docs.append(
+                {
+                    "id": doc_info["DokumentId"],
+                    "text": text if text else "",
+                    "source": "retsinformationdk",
+                    "added": today.strftime("%Y-%m-%d"),
+                    "created": f"{date.fromisoformat(str(doc_info['PubliceretTidspunkt'])).strftime('%Y-%m-%d')}, {date.fromisoformat(str(doc_info['PubliceretTidspunkt'])).strftime('%Y-%m-%d')}",
+                }
+            )
+        except Exception as e:
+            logger.error(f"Ran in to error: {e}")
+            logger.error(f"Skipping doc {doc_info['DokumentId']}")
+
+    ds = Dataset.from_list(docs)
+
+    # quality checks and processing
+    ds = remove_empty_texts(ds)
+    ds = remove_duplicate_text(ds)
+    ds = add_token_count(ds)
+    ds = ensure_column_order(ds)
+
+    ds.to_parquet(save_path)
+
+
+if __name__ == "__main__":
+    log_path = Path(__file__).parent / "retsinformationdk.log"
+    logging.basicConfig(
+        level=logging.INFO,
+        format="%(asctime)s - %(levelname)s - %(message)s",
+        handlers=[
+            logging.StreamHandler(),
+            logging.FileHandler(log_path),
+        ],
+    )
+    main()

data/retsinformationdk/descriptive_stats.json

@@ -1,6 +1,6 @@
 {
-  "number_of_samples": 63979,
-  "average_document_length": 22262.417246283938,
-  "number_of_tokens": 516352722,
-  "revision": "1546256ca9562ecef403e433276c36770859089e"
+  "number_of_samples": 100524,
+  "average_document_length": 23265.030191794995,
+  "number_of_tokens": 818252220,
+  "revision": "2c91001b440e33497c34fbfa9b40dfffffa25620"
 }

data/retsinformationdk/retsinformationdk.md

@@ -39,9 +39,9 @@ It serves as a central repository for Danish legislation, administrative regulat
 <!-- START-DESC-STATS -->
 - **Language**: dan, dansk, Danish
 - **Domains**: Legal
-- **Number of samples**: 63.98K
-- **Number of tokens (Llama 3)**: 516.35M
-- **Average document length (characters)**: 22262.42
+- **Number of samples**: 100.52K
+- **Number of tokens (Llama 3)**: 818.25M
+- **Average document length (characters)**: 23265.03
 <!-- END-DESC-STATS -->
 
 
@@ -52,12 +52,12 @@ An example from the dataset looks as follows.
 <!-- START-SAMPLE -->
 ```py
 {
-  "id": "retsinformationdk_173889",
-  "text": "Den fulde tekst Pressenævnets kendelse i sag nr. 15-70-00822\nResumé\nForeningen for Skånsomt Kystfisk[...]",
+  "id": "AA014851",
+  "text": "Indsamlingsnævnets afgørelse i sag nr. 22-730-00015\n\nIndsamlingsnævnet fandt det kritisabelt, at Gad[...]",
   "source": "retsinformationdk",
-  "added": "2019-11-22",
-  "created": "2000-01-01, 2022-01-01",
-  "token_count": 900
+  "added": "2025-06-26",
+  "created": "2025-06-25, 2025-06-25",
+  "token_count": 4062
 }
 ```
 

data/retsinformationdk/retsinformationdk.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b5949575b39426d8084c9001213d838d94b71b739fa63725445402ef73c4c1f2
-size 648707629
+oid sha256:191bab8a3e7ae419394a622b74ae0fe64e9b5033066eeab4a3b3d2960153d48a
+size 1017748370

data/scrape_hovedstaden/scrape_hovedstaden.md

@@ -1,5 +1,5 @@
 ---
-pretty_name: "Health Hovedstaden"
+pretty_name: Health Hovedstaden
 language:
 - da
 license: cc0-1.0

descriptive_stats.json

@@ -1,6 +1,6 @@
 {
-  "number_of_samples": 915090,
-  "average_document_length": 14778.0072255188,
-  "number_of_tokens": 4396075044,
-  "revision": "8e2259b9aaa48bb3950b8b4111d10a92ba834459"
+  "number_of_samples": 951889,
+  "average_document_length": 15168.871661506751,
+  "number_of_tokens": 4698470546,
+  "revision": "bcb374cb39c593a23e26534d5f2f182dee3edceb"
 }

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "dynaword"
-version = "1.2.2"
+version = "1.2.3"
 description = "project code for the danish dynaword project"
 readme = "README.md"
 requires-python = ">=3.12,<3.13" # 3.13 have issues with spacy and pytorch

test_results.log

@@ -1,5 +1,5 @@
 ============================= test session starts ==============================
-platform darwin -- Python 3.12.9, pytest-8.3.4, pluggy-1.5.0
+platform darwin -- Python 3.12.0, pytest-8.3.4, pluggy-1.5.0
 rootdir: /Users/kristianjensen/Documents/danish-dynaword
 configfile: pyproject.toml
 collected 319 items