fix: reformat license for Historical Danish Handwriting for consistency

README.md

@@ -385,7 +385,7 @@ These license is applied to the constituent data, i.e., the text. The collection
 | CC-0                            | [grundtvig], [danske-taler], [ncc_books], [ncc_newspaper], [miljoeportalen], [opensubtitles], [ep], [ft], [wikisource], [spont], [adl], [hest], [skat], [retspraksis], [wikibooks], [botxt], [naat], [synne], [wikipedia], [wiki-comments], [nordjyllandnews], [relig], [nota], [health_hovedstaden] | 2.06B       |
 | Other (No attribution required) | [retsinformationdk], [domsdatabasen]                                                                                                                                                                                                                                                                 | 904.61M     |
 | Other (Attribution required)    | [ai-aktindsigt], [ncc_maalfrid], [ncc_parliament], [dannet], [gutenberg]                                                                                                                                                                                                                             | 515.61M     |
-| CC by 4.0                       | [historical-danish-handwriting]                                                                                                                                                                                                                                                                      | 5.20M       |
+| CC-BY 4.0                       | [historical-danish-handwriting]                                                                                                                                                                                                                                                                      | 5.20M       |
 | **Total**                       |                                                                                                                                                                                                                                                                                                      | 5.89B       |
 
 [ai-aktindsigt]: data/ai-aktindsigt/ai-aktindsigt.md
@@ -443,12 +443,12 @@ Each entry in the dataset consists of a single text with associated metadata
 <!-- START-SAMPLE -->
 ```py
 {
-  "id": "enevaeldens_nyheder_aalborg1767_1767-01-02_1000001",
-  "text": "Et Menneske er skabt ey for sig selv allene: Hvert Lem paa Legemet det heele tiene maae, En Stolpes [...]",
-  "source": "enevaeldens_nyheder",
-  "added": "2025-08-05",
-  "created": "1767-01-02, 1767-01-02",
-  "token_count": 2377
+  "id": "digibok_2009033103031",
+  "text": "P. FR. RIST. OLAF RYES SAGA. OPTEGNELSER, DAGBØGER OG BREVE. DET NORDISKE FORLAG. Denne Bog søger at[...]",
+  "source": "ncc_books",
+  "added": "2025-05-08",
+  "created": "1899-01-01, 1899-12-31",
+  "token_count": 192301
 }
 ```
 
@@ -523,7 +523,7 @@ You can learn more about each dataset by pressing the link in the first column.
 | [gutenberg]                     | The Danish subsection from Project [Gutenberg](https://www.gutenberg.org)                                                                                                                                | Books        | 6.76M       | [Gutenberg]            |
 | [wikisource]                    | The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page)                                                                                                                          | Encyclopedic | 6.28M       | [CC-0]                 |
 | [wiki-comments]                 | Text from the comments sections of the Danish Wikipedia                                                                                                                                                  | Encyclopedic | 6.14M       | [CC-0]                 |
-| [historical-danish-handwriting] | Minutes from City and Parish Council meetings between 1841 and 1939 from [The Historical Danish handwriting dataset](https://huggingface.co/datasets/aarhus-city-archives/historical-danish-handwriting) | Other        | 5.20M       | [CC by 4.0]            |
+| [historical-danish-handwriting] | Minutes from City and Parish Council meetings between 1841 and 1939 from [The Historical Danish handwriting dataset](https://huggingface.co/datasets/aarhus-city-archives/historical-danish-handwriting) | Other        | 5.20M       | [CC-BY 4.0]            |
 | [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]           |
@@ -579,6 +579,7 @@ You can learn more about each dataset by pressing the link in the first column.
 
 [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
+[CC-BY 4.0]: https://creativecommons.org/licenses/by/4.0/deed.en
 [Apache 2.0]: https://www.apache.org/licenses/LICENSE-2.0
 [NLOD 2.0]: ./data/ncc_maalfrid/ncc_maalfrid.md#license-information
 [NLOD 2.0]: ./data/ncc_parliament/ncc_parliament.md#license-information
@@ -586,7 +587,6 @@ You can learn more about each dataset by pressing the link in the first column.
 [DanNet 1.0]: ./data/dannet/dannet.md#license-information
 [Gutenberg]: ./data/gutenberg/gutenberg.md#license-information
 [Danish Copyright Law]: ./data/domsdatabasen/domsdatabasen.md#license-information
-[CC by 4.0]: ./data/historical-danish-handwriting/historical-danish-handwriting.md#license-information
 <!-- END-MAIN TABLE -->
 
 </details>

data/historical-danish-handwriting/create.py

@@ -9,9 +9,9 @@
 # ]
 # ///
 
-""" 
-This script loads the historical danish handwriting data from Aarhus city archives (https://huggingface.co/datasets/aarhus-city-archives/historical-danish-handwriting). 
-It loads the columns doc_id, sequence and alto (and not the image files). 
+"""
+This script loads the historical danish handwriting data from Aarhus city archives (https://huggingface.co/datasets/aarhus-city-archives/historical-danish-handwriting).
+It loads the columns doc_id, sequence and alto (and not the image files).
 """
 
 import os
@@ -27,58 +27,84 @@ from dynaword.process_dataset import add_token_count, ensure_column_order
 
 
 def load_historical_danish_handwriting(path):
-    """ Load historical-danish-handwriting data from aarhus-city-archives huggingface repo (path), return as pd df """
-    raw_df = pd.DataFrame(columns=['doc_id', 'sequence', 'alto'])
-    for file in sorted(glob.glob(os.path.join(path, 'data', "*.parquet"))):
-        raw_df = pd.concat([raw_df, pd.read_parquet(file, columns=['doc_id', 'sequence', 'alto'])], axis=0, ignore_index=True)
-    raw_df.sort_values(by=['doc_id', 'sequence'], inplace=True)
+    """Load historical-danish-handwriting data from aarhus-city-archives huggingface repo (path), return as pd df"""
+    raw_df = pd.DataFrame(columns=["doc_id", "sequence", "alto"])
+    for file in sorted(glob.glob(os.path.join(path, "data", "*.parquet"))):
+        raw_df = pd.concat(
+            [raw_df, pd.read_parquet(file, columns=["doc_id", "sequence", "alto"])],
+            axis=0,
+            ignore_index=True,
+        )
+    raw_df.sort_values(by=["doc_id", "sequence"], inplace=True)
     return raw_df
 
 
 def parse_xml(bs_obj):
-    """ Extract text from xml strings (alto format) """
+    """Extract text from xml strings (alto format)"""
     text = ""
-    layout_str = bs_obj.Layout.find_all('String')
+    layout_str = bs_obj.Layout.find_all("String")
     if len(layout_str) == 0:
         return ""
-    else: 
+    else:
         for j in layout_str:
-            if len(text) ==0:
-                text = text + j.attrs['CONTENT']
-            else: 
-                text = text + " " + j.attrs['CONTENT']
-        return "\n" + text 
+            if len(text) == 0:
+                text = text + j.attrs["CONTENT"]
+            else:
+                text = text + " " + j.attrs["CONTENT"]
+        return "\n" + text
 
 
 def extract_text(raw_df):
     """
     Extract text from historical-danish-handwriting data and return pd df
     """
-    text_df = pd.DataFrame(columns=['id', 'text', 'source', 'added','created'])
+    text_df = pd.DataFrame(columns=["id", "text", "source", "added", "created"])
     i = 0
-    for doc in pd.unique(raw_df['doc_id']):
-        for seq in raw_df[raw_df['doc_id'] == doc]['sequence']:
-            bs = BeautifulSoup(raw_df.loc[(raw_df['doc_id']==doc) & (raw_df['sequence'] == seq)]['alto'].item(), 'xml')
-            if (seq == 1): 
+    for doc in pd.unique(raw_df["doc_id"]):
+        for seq in raw_df[raw_df["doc_id"] == doc]["sequence"]:
+            bs = BeautifulSoup(
+                raw_df.loc[(raw_df["doc_id"] == doc) & (raw_df["sequence"] == seq)][
+                    "alto"
+                ].item(),
+                "xml",
+            )
+            if seq == 1:
                 filename = re.split("_", bs.Description.fileName.string)[1]
-                text_df.loc[i, 'text'] = filename + parse_xml(bs)
-            else: 
-                assert filename in bs.Description.fileName.string, f"id in current seq {seq} does not match first in doc {doc}"
-                text_df.at[i, 'text'] = text_df.loc[i, 'text'] + parse_xml(bs)
-        text_df['source'] = 'historical-danish-handwriting'
-        text_df.loc[i, 'text'] = text_df.loc[i, 'text'].strip("\n")
-        created = re.search(r'[0-9]{4}-[0-9]{4}', filename).group().split("-")
-        text_df.loc[i, 'created'] = f"{created[0]}-01-01, {created[1]}-12-31"
-        text_df.loc[i, 'id'] = f"{text_df.loc[i, 'source']}_{str(doc)}_{re.sub(" ", "_",  filename).strip().lower()}"
-        i+=1
+                text_df.loc[i, "text"] = filename + parse_xml(bs)
+            else:
+                assert (
+                    filename in bs.Description.fileName.string
+                ), f"id in current seq {seq} does not match first in doc {doc}"
+                text_df.at[i, "text"] = text_df.loc[i, "text"] + parse_xml(bs)
+        text_df["source"] = "historical-danish-handwriting"
+        text_df.loc[i, "text"] = text_df.loc[i, "text"].strip("\n")
+        created = re.search(r"[0-9]{4}-[0-9]{4}", filename).group().split("-")
+        text_df.loc[i, "created"] = f"{created[0]}-01-01, {created[1]}-12-31"
+        text_df.loc[i, "id"] = (
+            f"{text_df.loc[i, 'source']}_{str(doc)}_{re.sub(" ", "_",  filename).strip().lower()}"
+        )
+        i += 1
     return text_df
 
+
 def convert_dynaword_format(text_df, outpath):
-    """ Converts pandas df to dynaword format (dataset), adds source, added and token count columns. Saves as .parquet to defined path """
-    text_df['added'] = datetime.now().date().isoformat()
-    ds = Dataset.from_pandas(text_df, preserve_index=False, split='train',
-                             features = Features({'id':Value(dtype='string'), 'text':Value(dtype='string'), 'source':Value(dtype='string'), 
-                                                  'added': Value(dtype='string'), 'created':Value(dtype='string'), 'token_count':Value(dtype="int64")}))
+    """Converts pandas df to dynaword format (dataset), adds source, added and token count columns. Saves as .parquet to defined path"""
+    text_df["added"] = datetime.now().date().isoformat()
+    ds = Dataset.from_pandas(
+        text_df,
+        preserve_index=False,
+        split="train",
+        features=Features(
+            {
+                "id": Value(dtype="string"),
+                "text": Value(dtype="string"),
+                "source": Value(dtype="string"),
+                "added": Value(dtype="string"),
+                "created": Value(dtype="string"),
+                "token_count": Value(dtype="int64"),
+            }
+        ),
+    )
     ds = add_token_count(ds)
     ds = ensure_column_order(ds)
     ds.to_parquet(outpath)
@@ -86,8 +112,12 @@ def convert_dynaword_format(text_df, outpath):
 
 
 def main():
-    outpath = Path(__file__).parent/'historical-danish-handwriting.parquet'
-    path = snapshot_download(repo_id="aarhus-city-archives/historical-danish-handwriting", repo_type='dataset', allow_patterns="data/")
+    outpath = Path(__file__).parent / "historical-danish-handwriting.parquet"
+    path = snapshot_download(
+        repo_id="aarhus-city-archives/historical-danish-handwriting",
+        repo_type="dataset",
+        allow_patterns="data/",
+    )
     raw_df = load_historical_danish_handwriting(path)
     text_df = extract_text(raw_df)
     convert_dynaword_format(text_df, outpath)

data/historical-danish-handwriting/historical-danish-handwriting.md

@@ -2,8 +2,8 @@
 pretty_name: Historical Danish handwriting 1841-1939
 language:
 - da
-license: other
-license_name: CC by 4.0
+license: cc-by-4.0
+license_name: CC-BY 4.0
 size_categories:
 - 10K<n<100K
 task_categories:

data/wiki-comments/create.py

@@ -10,17 +10,16 @@
 # dynaword = { git = "https://huggingface.co/datasets/danish-foundation-models/danish-dynaword", rev = "6b3822fd6965dda59ae361da99c19b5c56c1263f" }
 # ///
 """
-This script downloads and cleans Wikipedia, it only keeps the user comments. 
+This script downloads and cleans Wikipedia, it only keeps the user comments.
 """
+
 import html
 import json
 import os
-import requests
-import sys
 
-from datasets import IterableDataset
-from datasets import Dataset
 import fasttext
+import requests
+from datasets import Dataset
 from huggingface_hub import hf_hub_download
 
 from dynaword.process_dataset import (
@@ -35,10 +34,11 @@ def run_cmd(cmd):
     print(cmd)
     os.system(cmd)
 
+
 def download_data(lang, date):
-    filename = lang + 'wiki-' + date + '-pages-articles.xml.bz2'
+    filename = lang + "wiki-" + date + "-pages-articles.xml.bz2"
     if not os.path.isfile(filename):
-        url = 'https://dumps.wikimedia.org/' + lang + 'wiki/' + date + '/' + filename
+        url = "https://dumps.wikimedia.org/" + lang + "wiki/" + date + "/" + filename
         response = requests.get(url)
 
         with open(filename, "wb") as file:
@@ -46,67 +46,84 @@ def download_data(lang, date):
 
     return filename
 
+
 def install_wikiextractor():
-    if not os.path.isdir('wikiextractor'):
-        cmd = 'git clone https://github.com/robvanderg/wikiextractor.git'
+    if not os.path.isdir("wikiextractor"):
+        cmd = "git clone https://github.com/robvanderg/wikiextractor.git"
         run_cmd(cmd)
 
+
 def run_wikiextractor(in_path, out_path):
     # clean the data
-    if not os.path.isdir('wikiextractor/' + out_path):
-        cmd = 'cd wikiextractor && python3 -m wikiextractor.WikiExtractor ../' + in_path + ' -o ' + out_path + ' --get_misc --json && cd ../ '
+    if not os.path.isdir("wikiextractor/" + out_path):
+        cmd = (
+            "cd wikiextractor && python3 -m wikiextractor.WikiExtractor ../"
+            + in_path
+            + " -o "
+            + out_path
+            + " --get_misc --json && cd ../ "
+        )
         run_cmd(cmd)
 
+
 def read_and_clean(path):
     # Load fasttext model
-    model_path = hf_hub_download(repo_id="facebook/fasttext-language-identification", filename="model.bin")
+    model_path = hf_hub_download(
+        repo_id="facebook/fasttext-language-identification", filename="model.bin"
+    )
     fasttext_model = fasttext.load_model(model_path)
 
     comment_id = 0
     all_rows = []
-    for (root,dirs,files) in os.walk(path, topdown=True):
+    for root, dirs, files in os.walk(path, topdown=True):
         for file in files:
             path = os.path.join(root, file)
             for line in open(path):
                 linedata = json.loads(line)
-                title = linedata['title']
-                category = title.split(':')[0]
-                if category == 'Wikipedia':
-                    if title.startswith('Wikipedia:Dagens '):
+                title = linedata["title"]
+                category = title.split(":")[0]
+                if category == "Wikipedia":
+                    if title.startswith("Wikipedia:Dagens "):
                         continue
-                    id = 'wikicomment_' + str(comment_id)
+                    id = "wikicomment_" + str(comment_id)
                     comment_id += 1
-                else: # There is more data, but we just want to comments for now
+                else:  # There is more data, but we just want to comments for now
                     continue
-                source = 'wiki_misc'
+                source = "wiki_misc"
                 # TODO add linedata['url'] somewhere?
-                text = html.unescape(linedata['text'])
-                lines = line.split('\n')
-                filtered_text = ''
-                for line in text.split('\n'):
-                    if '{{}}' in text: # unresolved templates
+                text = html.unescape(linedata["text"])
+                lines = line.split("\n")  # noqa
+                filtered_text = ""
+                for line in text.split("\n"):
+                    if "{{}}" in text:  # unresolved templates
                         continue
 
                     lang_pred = fasttext_model.predict(line)
-                    if lang_pred[0][0] == '__label__dan_Latn' and lang_pred[1][0] > .5:    
-                        filtered_text += line.replace('[', '').replace(']', '') + '\n'
-                added = '2025-07-21'
-                created = '2002-02-01, 2025-07-20'
-                row = {"id": id, "text": filtered_text, "source": source, "added": added, "created": created}
+                    if lang_pred[0][0] == "__label__dan_Latn" and lang_pred[1][0] > 0.5:
+                        filtered_text += line.replace("[", "").replace("]", "") + "\n"
+                added = "2025-07-21"
+                created = "2002-02-01, 2025-07-20"
+                row = {
+                    "id": id,
+                    "text": filtered_text,
+                    "source": source,
+                    "added": added,
+                    "created": created,
+                }
                 all_rows.append(row)
     return all_rows
-     
 
-if __name__ == '__main__':
-    date = '20250720' # obtained from https://dumps.wikimedia.org/dawiki/
-    lang = 'da'
+
+if __name__ == "__main__":
+    date = "20250720"  # obtained from https://dumps.wikimedia.org/dawiki/
+    lang = "da"
     bz2_path = download_data(lang, date)
 
     install_wikiextractor()
-    data_folder = lang + 'wiki-misc-' + date
+    data_folder = lang + "wiki-misc-" + date
     run_wikiextractor(bz2_path, data_folder)
 
-    full_data = read_and_clean('wikiextractor/' + data_folder)
+    full_data = read_and_clean("wikiextractor/" + data_folder)
     print(len(full_data))
     exit(1)
 
@@ -117,5 +134,4 @@ if __name__ == '__main__':
     ds = add_token_count(ds)
     ds = ensure_column_order(ds)
 
-    ds.to_parquet('data/wiki-comments/wiki-comments.parquet')
-
+    ds.to_parquet("data/wiki-comments/wiki-comments.parquet")

data/wikibooks/create.py

@@ -33,10 +33,7 @@ from tqdm import tqdm
 import pandas as pd
 
 from datasets import Dataset
-from transformers import AutoTokenizer
-from concurrent.futures import ProcessPoolExecutor
-from functools import partial
-from typing import Any, Tuple
+from typing import Tuple
 
 from dynaword.process_dataset import (
     add_token_count,

data/wikipedia/create.py

@@ -34,10 +34,7 @@ from tqdm import tqdm
 import pandas as pd
 
 from datasets import Dataset
-from transformers import AutoTokenizer
-from concurrent.futures import ProcessPoolExecutor
-from functools import partial
-from typing import Any, Tuple
+from typing import Tuple
 
 from dynaword.process_dataset import (
     add_token_count,
@@ -226,7 +223,7 @@ def main():
 
     # Local file paths
     DOWNLOADED_BZ2_FILE = f"tmp/da{source}-latest-pages-articles.xml.bz2"
-    OUTPUT_PARQUET_FILE = f"wikipedia.parquet"
+    OUTPUT_PARQUET_FILE = "wikipedia.parquet"
 
     # --- Execution ---
     # 1. Download the dump file

data/wikisource/create.py

@@ -33,10 +33,7 @@ from tqdm import tqdm
 import pandas as pd
 
 from datasets import Dataset
-from transformers import AutoTokenizer
-from concurrent.futures import ProcessPoolExecutor
-from functools import partial
-from typing import Any, Tuple
+from typing import Tuple
 
 from dynaword.process_dataset import (
     add_token_count,

images/dataset_size_plot.html

@@ -3880,6 +3880,6 @@ maplibre-gl/dist/maplibre-gl.js:
 
 window.Plotly = Plotly;
 return Plotly;
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src/dynaword/tables.py

@@ -15,6 +15,7 @@ _datasets = [
 
 DEFAULT_LICENSE_REFERENCES = """[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
+[CC-BY 4.0]: https://creativecommons.org/licenses/by/4.0/deed.en
 [Apache 2.0]: https://www.apache.org/licenses/LICENSE-2.0
 """
 

src/dynaword/typings.py

@@ -17,10 +17,11 @@ DOMAIN = Literal[
     "Web",
 ]
 
-LICENSE = Literal["cc0-1.0", "other", "cc-by-sa-4.0", "apache-2.0"]
+LICENSE = Literal["cc0-1.0", "other", "cc-by-sa-4.0", "apache-2.0", "cc-by-4.0"]
 
 LICENSE_NAMES_MAPPING = {
     "cc0-1.0": "CC0",
     "cc-by-sa-4.0": "CC BY-SA 4.0",
+    "cc-by-4.0": "CC-BY 4.0",
     "apache-2.0": "Apache 2.0",
 }