Adding Scrape Hovedstaden

CHANGELOG.md

@@ -5,6 +5,19 @@ 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/).
 
+## [v1.2.2] - 2025-06-26
+
+### Added
+
+- Added the new `scrape_hovedstaden` dataset. 
+- Added a new domain type `Medical`.
+
+## [v1.2.1] - 2025-06-24
+
+### Fixed
+
+- Updated the danske-taler dataset. This version fixes a problem where the texts from the API contains no newlines, and where there should have been newline there is now space between words and punctuation.
+
 ## [v1.2.0] - 2025-06-23
 
 ### Fixed

README.md

@@ -141,6 +141,10 @@ configs:
   data_files:
   - split: train
     path: data/nota/*.parquet
+- config_name: scrape_hovedstaden
+  data_files:
+  - split: train
+    path: data/scrape_hovedstaden/*.parquet
 annotations_creators:
 - no-annotation
 language_creators:
@@ -174,7 +178,7 @@ https://github.com/huggingface/datasets/blob/main/templates/README_guide.md
 <!-- START README TABLE -->
 |              |                                                                                                                                                             |
 | ------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| **Version** | 1.2.0 ([Changelog](/CHANGELOG.md)) |
+| **Version** | 1.2.2 ([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)                                            |
@@ -211,9 +215,9 @@ https://github.com/huggingface/datasets/blob/main/templates/README_guide.md
 
 <!-- START-DESC-STATS -->
 - **Language**: dan, dansk, Danish
-- **Number of samples**: 891.09K
-- **Number of tokens (Llama 3)**: 4.37B
-- **Average document length (characters)**: 15086.31
+- **Number of samples**: 915.09K
+- **Number of tokens (Llama 3)**: 4.40B
+- **Average document length (characters)**: 14778.01
 <!-- END-DESC-STATS -->
 
 
@@ -311,43 +315,44 @@ 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                                                                                                                                                                            | 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]         |
-| [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]                 |
-| [ai-aktindsigt]     | Multiple web scrapes from municipality websites collected as a part of the [AI-aktindsigt](https://ai-aktindsigt.dk) project                                                           | Web          | 139.23M     | [Apache 2.0]           |
-| [miljoeportalen]    | Data from [Danmarks Miljøportalen](https://www.miljoeportal.dk/om-danmarks-miljoeportal/) (Denmark's Environment Portal)                                                               | Web          | 127.38M     | [CC-0]                 |
-| [skat]              | Skat is the Danish tax authority. This dataset contains content from its website skat.dk                                                                                               | Legal        | 122.11M     | [CC-0]                 |
-| [wiki]              | The Danish subsection of [wikipedia](https://en.wikipedia.org/wiki/Main_Page)                                                                                                          | Encyclopedic | 122.00M     | [CC-0]                 |
-| [ft]                | Records from all meetings of The Danish parliament (Folketinget) in the parliament hall                                                                                                | Conversation | 114.09M     | [CC-0]                 |
-| [memo]              | The MeMo corpus comprising almost all Danish novels from the period 1870-1899, known as the Modern Breakthrough                                                                        | Books        | 113.74M     | [CC-BY-SA 4.0]         |
-| [ep]                | The Danish subsection of [Europarl](https://aclanthology.org/2005.mtsummit-papers.11/)                                                                                                 | Conversation | 100.84M     | [CC-0]                 |
-| [adl]               | Danish literature from 1700-2023 from the [Archive for Danish Literature](https://tekster.kb.dk/text?editorial=no&f%5Bsubcollection_ssi%5D%5B%5D=adl&match=one&search_field=Alt) (ADL) | Books        | 58.49M      | [CC-0]                 |
-| [retspraksis]       | Case law or judical practice in Denmark derived from [Retspraksis](https://da.wikipedia.org/wiki/Retspraksis)                                                                          | Legal        | 56.26M      | [CC-0]                 |
-| [fm-udgivelser]     | The official publication series of the Danish Ministry of Finance containing economic analyses, budget proposals, and fiscal policy documents                                          | Legal        | 50.34M      | [CC-BY-SA 4.0]         |
-| [nordjyllandnews]   | Articles from the Danish Newspaper [TV2 Nord](https://www.tv2nord.dk)                                                                                                                  | News         | 37.90M      | [CC-0]                 |
-| [eur-lex-sum-da]    | The Danish subsection of EUR-lex SUM consisting of EU legislation paired with professionally written summaries                                                                         | Legal        | 31.37M      | [CC-BY-SA 4.0]         |
-| [ncc_maalfrid]      | Danish content from Norwegian institutions websites                                                                                                                                    | Web          | 29.26M      | [NLOD 2.0]             |
-| [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 | 8.23M       | [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]                 |
-| [wikisource]        | The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page)                                                                                                        | Encyclopedic | 5.34M       | [CC-0]                 |
-| [jvj]               | The works of the Danish author and poet, [Johannes V. Jensen](https://da.wikipedia.org/wiki/Johannes_V._Jensen)                                                                        | Books        | 3.55M       | [CC-BY-SA 4.0]         |
-| [spont]             | Conversational samples collected as a part of research projects at Aarhus University                                                                                                   | Conversation | 1.56M       | [CC-0]                 |
-| [dannet]            | [DanNet](https://cst.ku.dk/projekter/dannet) is a Danish WordNet                                                                                                                       | Other        | 1.48M       | [DanNet 1.0]           |
-| [relig]             | Danish religious text from the 1700-2022                                                                                                                                               | Books        | 1.24M       | [CC-0]                 |
-| [ncc_newspaper]     | OCR'd Newspapers derived from [NCC](https://huggingface.co/datasets/NbAiLab/NCC)                                                                                                       | News         | 1.05M       | [CC-0]                 |
-| [botxt]             | The Bornholmsk Ordbog Dictionary Project                                                                                                                                               | Dialect      | 847.97K     | [CC-0]                 |
-| [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**           |                                                                                                                                                                                        |              | 4.37B       |                        |
+| 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]         |
+| [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]                 |
+| [ai-aktindsigt]      | Multiple web scrapes from municipality websites collected as a part of the [AI-aktindsigt](https://ai-aktindsigt.dk) project                                                           | Web          | 139.23M     | [Apache 2.0]           |
+| [miljoeportalen]     | Data from [Danmarks Miljøportalen](https://www.miljoeportal.dk/om-danmarks-miljoeportal/) (Denmark's Environment Portal)                                                               | Web          | 127.38M     | [CC-0]                 |
+| [skat]               | Skat is the Danish tax authority. This dataset contains content from its website skat.dk                                                                                               | Legal        | 122.11M     | [CC-0]                 |
+| [wiki]               | The Danish subsection of [wikipedia](https://en.wikipedia.org/wiki/Main_Page)                                                                                                          | Encyclopedic | 122.00M     | [CC-0]                 |
+| [ft]                 | Records from all meetings of The Danish parliament (Folketinget) in the parliament hall                                                                                                | Conversation | 114.09M     | [CC-0]                 |
+| [memo]               | The MeMo corpus comprising almost all Danish novels from the period 1870-1899, known as the Modern Breakthrough                                                                        | Books        | 113.74M     | [CC-BY-SA 4.0]         |
+| [ep]                 | The Danish subsection of [Europarl](https://aclanthology.org/2005.mtsummit-papers.11/)                                                                                                 | Conversation | 100.84M     | [CC-0]                 |
+| [adl]                | Danish literature from 1700-2023 from the [Archive for Danish Literature](https://tekster.kb.dk/text?editorial=no&f%5Bsubcollection_ssi%5D%5B%5D=adl&match=one&search_field=Alt) (ADL) | Books        | 58.49M      | [CC-0]                 |
+| [retspraksis]        | Case law or judical practice in Denmark derived from [Retspraksis](https://da.wikipedia.org/wiki/Retspraksis)                                                                          | Legal        | 56.26M      | [CC-0]                 |
+| [fm-udgivelser]      | The official publication series of the Danish Ministry of Finance containing economic analyses, budget proposals, and fiscal policy documents                                          | Legal        | 50.34M      | [CC-BY-SA 4.0]         |
+| [nordjyllandnews]    | Articles from the Danish Newspaper [TV2 Nord](https://www.tv2nord.dk)                                                                                                                  | News         | 37.90M      | [CC-0]                 |
+| [eur-lex-sum-da]     | The Danish subsection of EUR-lex SUM consisting of EU legislation paired with professionally written summaries                                                                         | Legal        | 31.37M      | [CC-BY-SA 4.0]         |
+| [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]                 |
+| [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]                 |
+| [wikisource]         | The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page)                                                                                                        | Encyclopedic | 5.34M       | [CC-0]                 |
+| [jvj]                | The works of the Danish author and poet, [Johannes V. Jensen](https://da.wikipedia.org/wiki/Johannes_V._Jensen)                                                                        | Books        | 3.55M       | [CC-BY-SA 4.0]         |
+| [spont]              | Conversational samples collected as a part of research projects at Aarhus University                                                                                                   | Conversation | 1.56M       | [CC-0]                 |
+| [dannet]             | [DanNet](https://cst.ku.dk/projekter/dannet) is a Danish WordNet                                                                                                                       | Other        | 1.48M       | [DanNet 1.0]           |
+| [relig]              | Danish religious text from the 1700-2022                                                                                                                                               | Books        | 1.24M       | [CC-0]                 |
+| [ncc_newspaper]      | OCR'd Newspapers derived from [NCC](https://huggingface.co/datasets/NbAiLab/NCC)                                                                                                       | News         | 1.05M       | [CC-0]                 |
+| [botxt]              | The Bornholmsk Ordbog Dictionary Project                                                                                                                                               | Dialect      | 847.97K     | [CC-0]                 |
+| [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       |                        |
 
 [ai-aktindsigt]: data/ai-aktindsigt/ai-aktindsigt.md
 [cellar]: data/cellar/cellar.md
@@ -383,6 +388,7 @@ Below follows a brief overview of the sources in the corpus along with their ind
 [nordjyllandnews]: data/nordjyllandnews/nordjyllandnews.md
 [relig]: data/relig/relig.md
 [nota]: data/nota/nota.md
+[scrape_hovedstaden]: data/scrape_hovedstaden/scrape_hovedstaden.md
 
 
 [CC-0]: https://creativecommons.org/publicdomain/zero/1.0/legalcode.en

data/danske-taler/create.py

@@ -3,7 +3,11 @@
 # dependencies = [
 #     "beautifulsoup4==4.13.3",
 #     "datasets>=3.0.0",
+#     "transformers",
+#     "dynaword"
 # ]
+# [tool.uv.sources]
+# dynaword = { git = "https://huggingface.co/datasets/danish-foundation-models/danish-dynaword", rev = "00e7f2aee7f7ad2da423419f77ecbb9c0536de0d" }
 # ///
 """
 Danske Taler API Downloader
@@ -26,6 +30,14 @@ It saves it into the following structure:
 }
 ```
 
+Note: To run this script, you need to set `GIT_LFS_SKIP_SMUDGE=1` to be able to install dynaword:
+
+```bash
+GIT_LFS_SKIP_SMUDGE=1 uv run data/memo/create.py
+```
+
+This second version fixed previous issues with the download and processing of the Danish Memo repository:
+https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions/67
 """
 
 import logging
@@ -34,21 +46,80 @@ from datetime import date
 from pathlib import Path
 from typing import Any
 
-import datasets
+from datasets import Dataset
 import pandas as pd
 import requests
-from bs4 import BeautifulSoup
+from bs4 import BeautifulSoup, NavigableString
 from tqdm import tqdm
 
+from dynaword.process_dataset import (
+    add_token_count,
+    ensure_column_order,
+    remove_duplicate_text,
+    remove_empty_texts,
+)
+
 logger = logging.getLogger(__name__)
 
 # Configuration
 API_BASE_URL = "https://www.dansketaler.dk/api/v1"
 
+KNOWN_HTML_TAGS = {
+    "html",
+    "head",
+    "body",
+    "title",
+    "meta",
+    "link",
+    "script",
+    "style",
+    "div",
+    "span",
+    "p",
+    "a",
+    "ul",
+    "ol",
+    "li",
+    "table",
+    "tr",
+    "td",
+    "th",
+    "img",
+    "h1",
+    "h2",
+    "h3",
+    "h4",
+    "h5",
+    "h6",
+    "strong",
+    "em",
+    "br",
+    "hr",
+    "form",
+    "input",
+    "button",
+    "label",
+    "select",
+    "option",
+    "textarea",
+    "iframe",
+    "nav",
+    "footer",
+    "header",
+    "main",
+    "section",
+    "article",
+}
+
+
+def contains_html_tags(text):
+    soup = BeautifulSoup(str(text), "html.parser")
+    return any(tag.name in KNOWN_HTML_TAGS for tag in soup.find_all())
+
 
 def get_all_speeches() -> list[dict[str, Any]]:
     # fetch first page, notably the total number of pages
-    url = f"{API_BASE_URL}/speeches"
+    url = f"{API_BASE_URL}/speeches?per_page=50"
     response = requests.get(url)
     response.raise_for_status()
     speeches = response.json()
@@ -58,7 +129,7 @@ def get_all_speeches() -> list[dict[str, Any]]:
     # fetch all pages
     all_speeches = []
     for page in range(1, total_pages + 1):
-        url = f"{API_BASE_URL}/speeches?page={page}"
+        url = f"{API_BASE_URL}/speeches?per_page=50&page={page}"
         response = requests.get(url)
         response.raise_for_status()
         speeches = response.json()
@@ -67,9 +138,9 @@ def get_all_speeches() -> list[dict[str, Any]]:
     return all_speeches
 
 
-def fetch_license_div(
+def fetch_speech_content(
     url: str, max_retries: int = 3, backoff_factor: float = 0.5
-) -> str | None:
+) -> tuple[str | None, str]:
     """
     Fetches the license div from the page with retry logic.
 
@@ -90,8 +161,29 @@ def fetch_license_div(
 
             soup = BeautifulSoup(response.text, "html.parser")
             license_div = soup.find("div", class_="speech-copyright")
-
-            return license_div.text if license_div else None
+            speech_div = soup.find("div", class_="speech-article-content")
+            speech = ""
+            if speech_div:
+                # Iterate over the children of the found div
+                for child_div in speech_div.children:  # type: ignore
+                    if child_div.name == "div":  # type: ignore
+                        current_paragraph = []
+                        for content in child_div.contents:  # type: ignore
+                            if isinstance(content, NavigableString):
+                                # Append text content
+                                current_paragraph.append(str(content).strip())
+                            elif content.name == "br":
+                                # If a <br> is encountered, join and print the current paragraph, then reset
+                                if current_paragraph:
+                                    speech += "".join(current_paragraph)
+                                    speech += "\n"  # Add a newline for paragraph break
+                                    current_paragraph = []
+                        # Print any remaining text in the current_paragraph list
+                        if current_paragraph:
+                            speech += "".join(current_paragraph)
+                            speech += "\n"  # Add a newline for paragraph break
+
+            return (license_div.text if license_div else None, speech)
 
         except (requests.RequestException, AttributeError) as e:
             retries += 1
@@ -100,7 +192,7 @@ def fetch_license_div(
                 logger.info(
                     f"Failed to fetch license after {max_retries} attempts: {str(e)}"
                 )
-                return None
+                return (None, "")
 
             # Calculate backoff time using exponential backoff
             wait_time = backoff_factor * (2 ** (retries - 1))
@@ -109,7 +201,7 @@ def fetch_license_div(
             )
             time.sleep(wait_time)
 
-    return None
+    return (None, "")
 
 
 def convert_to_license(license_information: str | None) -> str | None:
@@ -134,12 +226,12 @@ def convert_to_row(speech_meta: dict[str, Any]) -> dict[str, Any]:
     date_of_speech_start = f"{date_of_speech}"
     date_of_speech_end = f"{date_of_speech}"
 
-    license_information = fetch_license_div(speech_meta["url"])
+    (license_information, speech) = fetch_speech_content(speech_meta["url"])
 
     row = {
-        "text": speech_meta["transcription"],
-        "source": "danske-taler",
         "id": f"danske-taler_{speech_id}",
+        "text": speech,
+        "source": "danske-taler",
         # current date
         "added": date.today().isoformat(),
         "created": f"{date_of_speech_start}, {date_of_speech_end}",
@@ -192,28 +284,19 @@ def main():
     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")
+    dataset = Dataset.from_pandas(df, preserve_index=False)
 
-    # 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 = remove_empty_texts(dataset)  # remove rows with empty text
+    dataset = remove_duplicate_text(dataset)  # remove rows with duplicate text
+    dataset = add_token_count(dataset)
+    dataset = ensure_column_order(dataset)
 
-    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"
+    assert len(set(df["license"])) == 1, "Multiple licenses found"
 
     # check for html tags in text
-    assert not df["text"].str.contains("<[^>]*>").any(), "HTML tags found in text"
+    assert not df["text"].apply(contains_html_tags).any(), "HTML tags found in text"
 
     dataset.to_parquet(save_path)
 

data/danske-taler/danske-taler.log

@@ -55,3 +55,113 @@ Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Erro
 2025-03-29 14:28:03,549 - INFO - Removed 2 rows with empty text
 2025-03-29 14:28:03,631 - INFO - Removed 2 rows with duplicate text
 Creating parquet from Arrow format: 100%|██████████████████████████████████████████████████| 3/3 [00:00<00:00, 11.33ba/s]
+2025-06-24 13:03:05,424 - INFO - Found 5103 speeches
+2025-06-24 13:04:19,375 - INFO - Attempt 1 failed. Retrying in 0.50 seconds...
+2025-06-24 13:04:29,734 - INFO - Attempt 1 failed. Retrying in 0.50 seconds...
+2025-06-24 13:04:30,613 - INFO - Attempt 2 failed. Retrying in 1.00 seconds...
+2025-06-24 13:04:31,856 - INFO - Attempt 3 failed. Retrying in 2.00 seconds...
+2025-06-24 13:04:34,098 - INFO - Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/niels-hoejlund-pedersens-translokationstale-2020
+2025-06-24 13:05:10,223 - INFO - Attempt 1 failed. Retrying in 0.50 seconds...
+2025-06-24 13:05:11,113 - INFO - Attempt 2 failed. Retrying in 1.00 seconds...
+2025-06-24 13:05:12,575 - INFO - Attempt 3 failed. Retrying in 2.00 seconds...
+2025-06-24 13:05:14,814 - INFO - Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/katrine-lykke-pedersens-tale-til-unge-om-haab-i-en-coronatid
+2025-06-24 13:05:15,208 - INFO - Attempt 1 failed. Retrying in 0.50 seconds...
+2025-06-24 13:05:15,922 - INFO - Attempt 2 failed. Retrying in 1.00 seconds...
+2025-06-24 13:05:17,117 - INFO - Attempt 3 failed. Retrying in 2.00 seconds...
+2025-06-24 13:05:19,583 - INFO - Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/anastacia-halkens-tale-til-unge-om-haab-i-en-coronatid
+2025-06-24 13:05:20,875 - INFO - Attempt 1 failed. Retrying in 0.50 seconds...
+2025-06-24 13:05:21,619 - INFO - Attempt 2 failed. Retrying in 1.00 seconds...
+2025-06-24 13:05:22,844 - INFO - Attempt 3 failed. Retrying in 2.00 seconds...
+2025-06-24 13:05:25,074 - INFO - Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/thomas-vinterbergs-tale-ved-modtagelsen-af-oscar-prisen
+2025-06-24 13:06:01,599 - INFO - Attempt 1 failed. Retrying in 0.50 seconds...
+2025-06-24 13:06:02,313 - INFO - Attempt 2 failed. Retrying in 1.00 seconds...
+2025-06-24 13:06:03,588 - INFO - Attempt 3 failed. Retrying in 2.00 seconds...
+2025-06-24 13:06:05,817 - INFO - Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/pernille-vermunds-tale-ved-folketingets-aabningsdebat-2021
+2025-06-24 13:06:08,990 - INFO - Attempt 1 failed. Retrying in 0.50 seconds...
+2025-06-24 13:06:09,675 - INFO - Attempt 2 failed. Retrying in 1.00 seconds...
+2025-06-24 13:06:10,912 - INFO - Attempt 3 failed. Retrying in 2.00 seconds...
+2025-06-24 13:06:13,120 - INFO - Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/pernille-vermunds-tale-ved-nye-borgerliges-aarsmoede-2021
+2025-06-24 13:06:13,512 - INFO - Attempt 1 failed. Retrying in 0.50 seconds...
+2025-06-24 13:06:14,230 - INFO - Attempt 2 failed. Retrying in 1.00 seconds...
+2025-06-24 13:06:15,462 - INFO - Attempt 3 failed. Retrying in 2.00 seconds...
+2025-06-24 13:06:17,720 - INFO - Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/mette-thiesens-tale-ved-nye-borgerliges-aarsmoede-2021
+2025-06-24 13:06:17,920 - INFO - Attempt 1 failed. Retrying in 0.50 seconds...
+2025-06-24 13:06:18,656 - INFO - Attempt 2 failed. Retrying in 1.00 seconds...
+2025-06-24 13:06:19,902 - INFO - Attempt 3 failed. Retrying in 2.00 seconds...
+2025-06-24 13:06:22,132 - INFO - Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/peter-seier-christensens-tale-ved-nye-borgerliges-aarsmoede-2021
+2025-06-24 13:07:56,628 - INFO - Attempt 1 failed. Retrying in 0.50 seconds...
+2025-06-24 13:07:57,353 - INFO - Attempt 2 failed. Retrying in 1.00 seconds...
+2025-06-24 13:07:58,586 - INFO - Attempt 3 failed. Retrying in 2.00 seconds...
+2025-06-24 13:08:00,850 - INFO - Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/silke-ena-svares-tale-ved-demonstrationen-for-born-og-unge
+2025-06-24 13:19:38,142 - INFO - Saving 5103 speeches to dataset
+2025-06-24 13:19:38,322 - INFO - Unique licenses:
+2025-06-24 13:19:38,322 - INFO - 	None
+2025-06-24 13:19:38,322 - INFO - 	cc0
+2025-06-24 13:19:38,322 - INFO - 	Manuskript taget fra ft.dk. med tilladelse fra udgiver.
+2025-06-24 13:19:38,322 - INFO - 	Manuskript tilsendt af taler og udgivet af Danske Taler med tilladelse fra taler.
+2025-06-24 13:19:38,322 - INFO - 	Materialet er beskyttet af ophavsret, da talen ikke er holdt i offentligheden. 
+2025-06-24 13:19:38,322 - INFO - 	Materialet er beskyttet  af ophavsret
+2025-06-24 13:19:38,322 - INFO - 	Materialet er beskyttet af ophavsret
+2025-06-24 13:19:38,322 - INFO - 	Materialet et beskyttet af ophavsret
+2025-06-24 13:19:38,322 - INFO - 	Manuskript taget fra ft.dk med tilladelse fra udgiver.
+2025-06-24 13:19:38,322 - INFO - 	Materialet er beskyttet af ophavsret 
+2025-06-24 13:19:38,322 - INFO - 	Materialet er omfattet af ophavsret
+2025-06-24 13:19:38,325 - INFO - Removed 2188 documents without a cc0 license
+2025-06-24 13:19:38,326 - INFO - Removed 0 duplicate ids
+2025-06-24 13:19:38,332 - INFO - Removed 1 rows with empty text
+2025-06-24 13:19:38,345 - INFO - Removed 2 rows with duplicate text2025-06-24 14:44:36,089 - INFO - Downloading speeches and saving to /Users/kristianjensen/Documents/danish-dynaword/data/danske-taler/tmp/danske-taler-all.parquet
+2025-06-24 14:44:36,089 - INFO - Fetching all speeches from Danske Taler API
+2025-06-24 14:45:43,887 - INFO - Found 5107 speeches
+2025-06-24 14:46:53,929 - INFO - Attempt 1 failed. Retrying in 0.50 seconds...
+2025-06-24 14:46:54,627 - INFO - Attempt 2 failed. Retrying in 1.00 seconds...
+2025-06-24 14:46:55,824 - INFO - Attempt 3 failed. Retrying in 2.00 seconds...
+2025-06-24 14:46:58,015 - INFO - Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/niels-hoejlund-pedersens-translokationstale-2020
+2025-06-24 14:47:34,505 - INFO - Attempt 1 failed. Retrying in 0.50 seconds...
+2025-06-24 14:47:35,215 - INFO - Attempt 2 failed. Retrying in 1.00 seconds...
+2025-06-24 14:47:36,514 - INFO - Attempt 3 failed. Retrying in 2.00 seconds...
+2025-06-24 14:47:38,725 - INFO - Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/katrine-lykke-pedersens-tale-til-unge-om-haab-i-en-coronatid
+2025-06-24 14:47:39,093 - INFO - Attempt 1 failed. Retrying in 0.50 seconds...
+2025-06-24 14:47:39,798 - INFO - Attempt 2 failed. Retrying in 1.00 seconds...
+2025-06-24 14:47:41,013 - INFO - Attempt 3 failed. Retrying in 2.00 seconds...
+2025-06-24 14:47:43,253 - INFO - Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/anastacia-halkens-tale-til-unge-om-haab-i-en-coronatid
+2025-06-24 14:47:44,528 - INFO - Attempt 1 failed. Retrying in 0.50 seconds...
+2025-06-24 14:47:45,272 - INFO - Attempt 2 failed. Retrying in 1.00 seconds...
+2025-06-24 14:47:46,492 - INFO - Attempt 3 failed. Retrying in 2.00 seconds...
+2025-06-24 14:47:48,691 - INFO - Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/thomas-vinterbergs-tale-ved-modtagelsen-af-oscar-prisen
+2025-06-24 14:48:26,340 - INFO - Attempt 1 failed. Retrying in 0.50 seconds...
+2025-06-24 14:48:27,037 - INFO - Attempt 2 failed. Retrying in 1.00 seconds...
+2025-06-24 14:48:28,248 - INFO - Attempt 3 failed. Retrying in 2.00 seconds...
+2025-06-24 14:48:30,496 - INFO - Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/pernille-vermunds-tale-ved-folketingets-aabningsdebat-2021
+2025-06-24 14:48:33,382 - INFO - Attempt 1 failed. Retrying in 0.50 seconds...
+2025-06-24 14:48:34,125 - INFO - Attempt 2 failed. Retrying in 1.00 seconds...
+2025-06-24 14:48:35,339 - INFO - Attempt 3 failed. Retrying in 2.00 seconds...
+2025-06-24 14:48:37,570 - INFO - Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/pernille-vermunds-tale-ved-nye-borgerliges-aarsmoede-2021
+2025-06-24 14:48:37,940 - INFO - Attempt 1 failed. Retrying in 0.50 seconds...
+2025-06-24 14:48:38,663 - INFO - Attempt 2 failed. Retrying in 1.00 seconds...
+2025-06-24 14:48:39,884 - INFO - Attempt 3 failed. Retrying in 2.00 seconds...
+2025-06-24 14:48:42,101 - INFO - Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/mette-thiesens-tale-ved-nye-borgerliges-aarsmoede-2021
+2025-06-24 14:48:42,357 - INFO - Attempt 1 failed. Retrying in 0.50 seconds...
+2025-06-24 14:48:43,097 - INFO - Attempt 2 failed. Retrying in 1.00 seconds...
+2025-06-24 14:48:44,340 - INFO - Attempt 3 failed. Retrying in 2.00 seconds...
+2025-06-24 14:48:46,560 - INFO - Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/peter-seier-christensens-tale-ved-nye-borgerliges-aarsmoede-2021
+2025-06-24 14:50:22,691 - INFO - Attempt 1 failed. Retrying in 0.50 seconds...
+2025-06-24 14:50:23,446 - INFO - Attempt 2 failed. Retrying in 1.00 seconds...
+2025-06-24 14:50:24,662 - INFO - Attempt 3 failed. Retrying in 2.00 seconds...
+2025-06-24 14:50:26,911 - INFO - Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/silke-ena-svares-tale-ved-demonstrationen-for-born-og-unge
+2025-06-24 15:02:20,338 - INFO - Saving 5107 speeches to dataset
+2025-06-24 15:02:20,503 - INFO - Unique licenses:
+2025-06-24 15:02:20,503 - INFO - 	None
+2025-06-24 15:02:20,503 - INFO - 	cc0
+2025-06-24 15:02:20,503 - INFO - 	Materialet et beskyttet af ophavsret
+2025-06-24 15:02:20,503 - INFO - 	Materialet er beskyttet  af ophavsret
+2025-06-24 15:02:20,503 - INFO - 	Materialet er omfattet af ophavsret
+2025-06-24 15:02:20,503 - INFO - 	Manuskript taget fra ft.dk. med tilladelse fra udgiver.
+2025-06-24 15:02:20,503 - INFO - 	Materialet er beskyttet af ophavsret 
+2025-06-24 15:02:20,503 - INFO - 	Manuskript taget fra ft.dk med tilladelse fra udgiver.
+2025-06-24 15:02:20,503 - INFO - 	Materialet er beskyttet af ophavsret
+2025-06-24 15:02:20,503 - INFO - 	Materialet er beskyttet af ophavsret, da talen ikke er holdt i offentligheden. 
+2025-06-24 15:02:20,503 - INFO - 	Manuskript tilsendt af taler og udgivet af Danske Taler med tilladelse fra taler.
+2025-06-24 15:02:20,506 - INFO - Removed 2191 documents without a cc0 license
+2025-06-24 15:02:20,508 - INFO - Removed 0 duplicate ids
+2025-06-24 15:02:20,516 - INFO - Removed 2 rows with empty text
+2025-06-24 15:02:20,529 - INFO - Removed 2 rows with duplicate text

data/danske-taler/danske-taler.md

@@ -31,15 +31,17 @@ The goal of the dataset is to collect historical and timely speeches and make th
 
 Learn more about danske taler by reading their [about us](https://www.dansketaler.dk/om-os) page.
 
+> NOTE: Danske-Taler is also collecting [sermons](https://www.dansketaler.dk/praedikener), but these are not included in this dataset. 
+
 ## Dataset Description
 
 
 <!-- START-DESC-STATS -->
 - **Language**: dan, dansk, Danish
 - **Domains**: Conversation, Speeches, Spoken
-- **Number of samples**: 2.66K
-- **Number of tokens (Llama 3)**: 8.23M
-- **Average document length (characters)**: 9446.26
+- **Number of samples**: 2.91K
+- **Number of tokens (Llama 3)**: 8.81M
+- **Average document length (characters)**: 9228.65
 <!-- END-DESC-STATS -->
 
 
@@ -50,12 +52,12 @@ An example from the dataset looks as follows.
 <!-- START-SAMPLE -->
 ```py
 {
-  "id": "danske-taler_278",
-  "text": "Den 1. august i år var der forløbet 25 år siden den sidste verdenskrigs udbrud. En måned senere - de[...]",
+  "id": "danske-taler_281",
+  "text": "Tyske landsmænd og -kvinder !\n\nSyv år er kort tid, en brøkdel af en enkel menneskelig normaltilværel[...]",
   "source": "danske-taler",
-  "added": "2025-03-29",
-  "created": "1939-09-20, 1939-09-20",
-  "token_count": 14115
+  "added": "2025-06-24",
+  "created": "1940-01-30, 1940-01-30",
+  "token_count": 3020
 }
 ```
 

data/danske-taler/danske-taler.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bcb369ce210815cdadad81f6cda59b5f06c6eedb6523a4851a2969999a6b1665
-size 15084153
+oid sha256:d007e606854f868febcf61a513302f7299ff35222fe9de487d17b9baaaedf248
+size 16089529

data/danske-taler/descriptive_stats.json

@@ -1,6 +1,6 @@
 {
-  "number_of_samples": 2658,
-  "average_document_length": 9446.262227238525,
-  "number_of_tokens": 8227947,
-  "revision": "d36009a401d1c1081fb7607d2d3159a20c4a356e"
+  "number_of_samples": 2912,
+  "average_document_length": 9228.645260989011,
+  "number_of_tokens": 8809004,
+  "revision": "8d056aba9953ef0cf4c402ccb9deff745d8307af"
 }

data/scrape_hovedstaden/create.py

@@ -0,0 +1,76 @@
+# /// script
+# requires-python = "==3.12"
+# dependencies = [
+#     "datasets==3.2.0",
+#     "dynaword"
+# ]
+# [tool.uv.sources]
+# dynaword = { git = "https://huggingface.co/datasets/danish-foundation-models/danish-dynaword", rev = "00e7f2aee7f7ad2da423419f77ecbb9c0536de0d" }
+# ///
+"""
+Script for downloading and processing the Scrape Hovedstaden texts.
+
+Note: To run this script, you need to set `GIT_LFS_SKIP_SMUDGE=1` to be able to install dynaword:
+
+```bash
+GIT_LFS_SKIP_SMUDGE=1 uv run data/scrape_hovedstaden/create.py
+```
+"""
+
+import logging
+import subprocess
+from datetime import datetime
+from pathlib import Path
+from typing import Any, cast
+
+import pandas as pd
+from datasets import Dataset, load_dataset
+
+from dynaword.process_dataset import (
+    add_token_count,
+    ensure_column_order,
+    remove_duplicate_text,
+    remove_empty_texts,
+)
+
+logger = logging.getLogger(__name__)
+
+download_path = Path(__file__).parent / "tmp"
+
+
+def main():
+    save_path = Path(__file__).parent / "scrape_hovedstaden.parquet"
+    # Download data from repo: Den-Intelligente-Patientjournal/region_hovedstaden_text
+    ds = load_dataset(
+        "Den-Intelligente-Patientjournal/region_hovedstaden_text", split="train"
+    )
+    dataset: Dataset = cast(Dataset, ds)
+
+    # Extract the cleaned column
+    dataset = dataset.rename_column("cleaned", "text")
+
+    # Add created column: 2015 and 2020
+    dataset = dataset.add_column("created", ["2015-01-01, 2020-12-31"] * len(dataset))  # type: ignore
+    # Add added column: today
+    dataset = dataset.add_column(
+        "added", [datetime.today().date().strftime("%Y-%m-%d")] * len(dataset)
+    )  # type: ignore
+    # Add source column: scrape_hovedstaden
+    dataset = dataset.add_column("source", ["scrape_hovedstaden"] * len(dataset))  # type: ignore
+    # Add id column: scrape_hovedstade_{idx}
+    dataset = dataset.add_column(
+        "id", [f"scrape_hovedstaden_{i}" for i in range(len(dataset))]
+    )  # type: ignore
+
+    # quality checks and processing
+    dataset = remove_empty_texts(dataset)
+    dataset = remove_duplicate_text(dataset)
+    dataset = add_token_count(dataset)
+    dataset = ensure_column_order(dataset)
+
+    # save to parquet
+    dataset.to_parquet(save_path)
+
+
+if __name__ == "__main__":
+    main()

data/scrape_hovedstaden/descriptive_stats.json

@@ -0,0 +1,6 @@
+{
+  "number_of_samples": 23996,
+  "average_document_length": 3329.0515919319887,
+  "number_of_tokens": 27066716,
+  "revision": "78cc135f92c8c12ee8ba131d1a03befc5c78477d"
+}

data/scrape_hovedstaden/scrape_hovedstaden.md

@@ -0,0 +1,98 @@
+---
+pretty_name: "Health Hovedstaden"
+language:
+- da
+license: cc0-1.0
+license_name: CC-0
+task_categories:
+- text-generation
+- fill-mask
+task_ids:
+- language-modeling
+source_datasets:
+- Den-Intelligente-Patientjournal/region_hovedstaden_text
+domains:
+- Medical
+- Encyclopedic
+---
+
+# Dataset Card for Health Hovedstaden
+
+<!-- START-SHORT DESCRIPTION -->
+Guidelines and informational documents for healthcare professionals from the Capital Region
+<!-- END-SHORT DESCRIPTION -->
+
+The document collection consists of guidelines and informational documents for healthcare professionals in the Capital Region of Denmark. The documents therefore contain a number of specialized terms and concepts that are frequently used within the healthcare sector.
+
+The corpus was created based on the texts in the document collection and has been post-processed so that the texts can be used for the development of language technology.
+
+Martin Sundahl Laursen and Thiusius R. Savarimuthu from the University of Southern Denmark have assisted the Danish Agency for Digital Government with the post-processing of the data. Read their joint paper on "Automatic Annotation of Training Data for Deep Learning Based De-identification of Narrative Clinical Text."
+
+
+
+
+## Dataset Description
+
+<!-- START-DESC-STATS -->
+- **Language**: dan, dansk, Danish
+- **Domains**: Medical, Encyclopedic
+- **Number of samples**: 24.00K
+- **Number of tokens (Llama 3)**: 27.07M
+- **Average document length (characters)**: 3329.05
+<!-- END-DESC-STATS -->
+
+
+## Dataset Structure
+An example from the dataset looks as follows.
+
+<!-- START-SAMPLE -->
+```py
+{
+  "id": "scrape_hovedstaden_0",
+  "text": "Acetylsalicylsyre - Aspirin, Akutlægebil\n\nMålgrupper og anvendelsesområde\nDefinitioner\nFremgangsmåde[...]",
+  "source": "scrape_hovedstaden",
+  "added": "2025-06-25",
+  "created": "2015-01-01, 2020-12-31",
+  "token_count": 766
+}
+```
+
+### Data Fields
+
+An entry in the dataset consists of the following fields:
+
+- `id` (`str`): An unique identifier for each document.
+- `text`(`str`): The content of the document.
+- `source` (`str`): The source of the document (see [Source Data](#source-data)).
+- `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.
+- `token_count` (`int`): The number of tokens in the sample computed using the Llama 8B tokenizer
+<!-- END-SAMPLE -->
+
+
+### Additional Processing
+
+
+
+### Unintended Uses
+
+Please note that the corpus has been developed for the purpose of language technology development and should not be used as a source of healthcare information. The documents were scraped at a specific time and will therefore not be updated with changes. In this regard, please refer to the Capital Region of Denmark's document collection.
+
+
+### Dataset Statistics
+
+<!-- START-DATASET PLOTS -->
+<p align="center">
+<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
+</p>
+<!-- END-DATASET PLOTS -->
+
+
+# Additional Information
+
+## License Information
+The dataset have been released under a CC-0 license. 
+
+### Citation Information
+
+If you are using the data please reference the following paper [Automatic Annotation of Training Data for Deep Learning Based De-identification of Narrative Clinical Text](https://ceur-ws.org/Vol-3416/paper_5.pdf)

data/scrape_hovedstaden/scrape_hovedstaden.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:830fcdc9a16310bf1d165db79ba8b49bdee33cd7b3849ca0564b010d9f3df318
+size 41434842

descriptive_stats.json

@@ -1,6 +1,6 @@
 {
-  "number_of_samples": 891094,
-  "average_document_length": 15086.31267857263,
-  "number_of_tokens": 4369008328,
-  "revision": "9e941ac4e56b7b77ec77b84a3a40130ba78a9511"
+  "number_of_samples": 915090,
+  "average_document_length": 14778.0072255188,
+  "number_of_tokens": 4396075044,
+  "revision": "8e2259b9aaa48bb3950b8b4111d10a92ba834459"
 }

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "dynaword"
-version = "1.2.0"
+version = "1.2.2"
 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

src/dynaword/typings.py

@@ -6,6 +6,7 @@ DOMAIN = Literal[
     "Dialect",
     "Encyclopedic",
     "Legal",
+    "Medical",
     "News",
     "Other",
     "Readaloud",

test_results.log

@@ -1,25 +1,24 @@
 ============================= test session starts ==============================
-platform darwin -- Python 3.12.0, pytest-8.3.4, pluggy-1.5.0
-rootdir: /Users/au561649/Github/danish-dynaword
+platform darwin -- Python 3.12.9, pytest-8.3.4, pluggy-1.5.0
+rootdir: /Users/kristianjensen/Documents/danish-dynaword
 configfile: pyproject.toml
-plugins: anyio-4.9.0
-collected 310 items
+collected 319 items
 
 src/tests/test_dataset_schema.py ....................................... [ 12%]
-.............................                                            [ 21%]
+...............................                                          [ 21%]
 src/tests/test_datasheets.py ........................................... [ 35%]
-........................................................................ [ 59%]
-.......................................................                  [ 76%]
+........................................................................ [ 57%]
+............................................................             [ 76%]
 src/tests/test_load.py ..                                                [ 77%]
-src/tests/test_quality/test_duplicates.py .............................. [ 87%]
-....s                                                                    [ 88%]
-src/tests/test_quality/test_short_texts.py ............................. [ 98%]
-.....                                                                    [ 99%]
+src/tests/test_quality/test_duplicates.py .............................. [ 86%]
+.....s                                                                   [ 88%]
+src/tests/test_quality/test_short_texts.py ............................. [ 97%]
+......                                                                   [ 99%]
 src/tests/test_unique_ids.py .                                           [100%]
 
 =============================== warnings summary ===============================
-src/tests/test_quality/test_short_texts.py: 34 warnings
-  /Users/au561649/Github/danish-dynaword/.venv/lib/python3.12/site-packages/datasets/utils/_dill.py:385: DeprecationWarning: co_lnotab is deprecated, use co_lines instead.
+src/tests/test_quality/test_short_texts.py: 35 warnings
+  /Users/kristianjensen/Documents/danish-dynaword/.venv/lib/python3.12/site-packages/datasets/utils/_dill.py:385: DeprecationWarning: co_lnotab is deprecated, use co_lines instead.
 
 -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
-============ 309 passed, 1 skipped, 34 warnings in 77.84s (0:01:17) ============
+================= 318 passed, 1 skipped, 35 warnings in 27.88s =================