Updated wiki, wikibooks, wikisource.

.gitignore

@@ -20,3 +20,6 @@ tmp.py
 
 ## to allow temporary data drops without pushing it to the hub
 data/*/tmp/*
+
+## node_modules
+**/node_modules/

CHANGELOG.md

@@ -5,6 +5,15 @@ 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/).
 
+## [v1.2.10] - 2025-08-18
+
+### Changed
+
+- Updated the wiki, wikibooks, wikisource datasets. 
+
+### Added 
+
+- Added `create.py` for wiki, wikibooks, wikisource.
 
 ## [v1.2.9] - 2025-08-05
 

README.md

@@ -194,7 +194,7 @@ https://github.com/huggingface/datasets/blob/main/templates/README_guide.md
 <!-- START README TABLE -->
 |              |                                                                                                                                                             |
 | ------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| **Version**  | 1.2.8 ([Changelog](/CHANGELOG.md))                                                                                                                          |
+| **Version** | 1.2.10 ([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)                                            |
@@ -233,8 +233,8 @@ https://github.com/huggingface/datasets/blob/main/templates/README_guide.md
 ## Dataset Description
 
 <!-- START-DESC-STATS -->
-- **Number of samples**: 5.55M
-- **Number of tokens (Llama 3)**: 5.83B
+- **Number of samples**: 5.60M
+- **Number of tokens (Llama 3)**: 5.88B
 - **Average document length in tokens (min, max)**: 1.05K (2, 9.81M)
 <!-- END-DESC-STATS -->
 
@@ -299,16 +299,16 @@ This dynaword consist of data from various domains (e.g., legal, books, social m
 |:-------------|:---------------------------------------------------------------------------------------------------------|:------------|
 | Legal        | [cellar], [eur-lex-sum-da], [fm-udgivelser], [retsinformationdk], [skat], [retspraksis], [domsdatabasen] | 2.32B       |
 | News         | [enevaeldens_nyheder], [ncc_newspaper], [tv2r], [nordjyllandnews]                                        | 1.09B       |
-| Books        | [grundtvig], [ncc_books], [memo], [adl], [wikibooks], [jvj], [gutenberg], [relig]                        | 732.52M     |
+| Books        | [grundtvig], [ncc_books], [memo], [adl], [wikibooks], [jvj], [gutenberg], [relig]                        | 733.92M     |
 | Conversation | [danske-taler], [opensubtitles], [ep], [ft], [spont], [naat]                                             | 497.09M     |
 | Social Media | [hest]                                                                                                   | 389.32M     |
 | Other        | [ncc_parliament], [dannet], [depbank], [synne]                                                           | 340.59M     |
 | Web          | [ai-aktindsigt], [ncc_maalfrid], [miljoeportalen]                                                        | 295.87M     |
-| Encyclopedic | [wikisource], [wiki]                                                                                     | 127.35M     |
+| Encyclopedic | [wikisource], [wiki]                                                                                     | 179.61M     |
 | Medical      | [health_hovedstaden]                                                                                     | 27.07M      |
 | Readaloud    | [nota]                                                                                                   | 7.30M       |
 | Dialect      | [botxt]                                                                                                  | 847.97K     |
-| **Total**    |                                                                                                          | 5.83B       |
+| **Total**    |                                                                                                          | 5.88B       |
 
 [ai-aktindsigt]: data/ai-aktindsigt/ai-aktindsigt.md
 [cellar]: data/cellar/cellar.md
@@ -372,10 +372,10 @@ These license is applied to the constituent data, i.e., the text. The collection
 | License                         | Sources                                                                                                                                                                                                                                                                        | N. Tokens   |
 |:--------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------|
 | CC-BY-SA 4.0                    | [cellar], [enevaeldens_nyheder], [eur-lex-sum-da], [fm-udgivelser], [memo], [tv2r], [jvj], [depbank]                                                                                                                                                                           | 2.41B       |
-| CC-0                            | [grundtvig], [danske-taler], [ncc_books], [ncc_newspaper], [miljoeportalen], [opensubtitles], [ep], [ft], [wikisource], [spont], [adl], [hest], [skat], [retspraksis], [wikibooks], [botxt], [naat], [synne], [wiki], [nordjyllandnews], [relig], [nota], [health_hovedstaden] | 2.00B       |
+| CC-0                            | [grundtvig], [danske-taler], [ncc_books], [ncc_newspaper], [miljoeportalen], [opensubtitles], [ep], [ft], [wikisource], [spont], [adl], [hest], [skat], [retspraksis], [wikibooks], [botxt], [naat], [synne], [wiki], [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     |
-| **Total**                       |                                                                                                                                                                                                                                                                                | 5.83B       |
+| **Total**                       |                                                                                                                                                                                                                                                                                | 5.88B       |
 
 [ai-aktindsigt]: data/ai-aktindsigt/ai-aktindsigt.md
 [cellar]: data/cellar/cellar.md
@@ -491,10 +491,10 @@ You can learn more about each dataset by pressing the link in the first column.
 | [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]                 |
+| [wiki]                | The Danish subsection of [wikipedia](https://en.wikipedia.org/wiki/Main_Page)                                                                                                          | Encyclopedic | 173.33M     | [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]                 |
@@ -509,10 +509,10 @@ You can learn more about each dataset by pressing the link in the first column.
 | [tv2r]                | Contemporary Danish newswire articles published between 2010 and 2019                                                                                                                  | News         | 21.67M      | [CC-BY-SA 4.0]         |
 | [grundtvig]           | The complete collection of [Grundtvig](https://en.wikipedia.org/wiki/N._F._S._Grundtvig) (1783-1872) one of Denmark’s most influential figures                                         | Books        | 10.53M      | [CC-0]                 |
 | [danske-taler]        | Danish Speeches from [dansketaler.dk](https://www.dansketaler.dk)                                                                                                                      | Conversation | 8.72M       | [CC-0]                 |
+| [wikibooks]           | The Danish Subsection of [Wikibooks](https://www.wikibooks.org)                                                                                                                        | Books        | 7.63M       | [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]                 |
+| [wikisource]          | The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page)                                                                                                        | Encyclopedic | 6.28M       | [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]           |
@@ -522,7 +522,7 @@ You can learn more about each dataset by pressing the link in the first column.
 | [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**             |                                                                                                                                                                                        |              | 5.83B       |                        |
+| **Total**             |                                                                                                                                                                                        |              | 5.88B       |                        |
 
 [ai-aktindsigt]: data/ai-aktindsigt/ai-aktindsigt.md
 [cellar]: data/cellar/cellar.md

data/wiki/create.py

@@ -0,0 +1,282 @@
+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "datasets",
+#     "mediawiki-dump",
+#     "mwparserfromhell",
+#     "pandas",
+#     "requests",
+#     "tqdm",
+#     "transformers",
+#     "dynaword"
+# ]
+# [tool.uv.sources]
+# dynaword = { git = "https://huggingface.co/datasets/danish-foundation-models/danish-dynaword", rev = "00e7f2aee7f7ad2da423419f77ecbb9c0536de0d" }
+# ///
+import bz2
+import datetime
+import json
+import logging
+import os
+import re
+import subprocess
+import sys
+import threading
+
+from mediawiki_dump.dumps import IteratorDump
+from mediawiki_dump.reader import DumpReaderArticles
+
+from mwparserfromhell import parse
+
+import requests
+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 dynaword.process_dataset import (
+    # add_token_count,
+    ensure_column_order,
+    remove_duplicate_text,
+    remove_empty_texts,
+)
+
+logger = logging.getLogger(__name__)
+logging.basicConfig(
+    level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
+)
+source = "wiki"
+
+
+class WtfNodeBridge:
+    """
+    Persistent Node bridge to wtf_wikipedia.
+    Call .parse(wikitext, lang=None) -> (text, is_redirect)
+    Remember to call .close() when done.
+    """
+
+    def __init__(
+        self, node_script_path: str = "parser/wtf_bridge.js", node_cmd: str = "node"
+    ):
+        self.proc = subprocess.Popen(
+            [node_cmd, node_script_path],
+            stdin=subprocess.PIPE,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+            text=True,
+            encoding="utf-8",
+            bufsize=1,
+        )
+        self._lock = threading.Lock()
+
+        # background thread to log stderr (helpful for debugging)
+        def _drain_stderr(p):
+            try:
+                for line in p.stderr:
+                    logger.warning("wtf_node stderr: %s", line.rstrip())
+            except Exception:
+                pass
+
+        t = threading.Thread(target=_drain_stderr, args=(self.proc,), daemon=True)
+        t.start()
+
+    def parse(self, wikitext: str, lang: str | None = None) -> Tuple[str, bool]:
+        if self.proc.poll() is not None:
+            raise RuntimeError("Node bridge process has exited")
+        payload = {"wikitext": wikitext}
+        if lang:
+            payload["lang"] = lang
+        line = json.dumps(payload, ensure_ascii=False)
+        with self._lock:
+            # write and flush a single JSON line
+            try:
+                self.proc.stdin.write(line + "\n")
+                self.proc.stdin.flush()
+            except BrokenPipeError as e:
+                raise RuntimeError("Broken pipe writing to node bridge") from e
+
+            # read exactly one JSON line back
+            out_line = self.proc.stdout.readline()
+            if not out_line:
+                raise RuntimeError("No response from node bridge (it may have exited)")
+            res = json.loads(out_line)
+            if res.get("error"):
+                # choose to either raise or return empty text; here we raise
+                raise RuntimeError("Node bridge error: " + res["error"])
+            return res.get("text", ""), bool(res.get("isRedirect", False))
+
+    def close(self):
+        try:
+            if self.proc.stdin:
+                self.proc.stdin.close()
+        except Exception:
+            pass
+        try:
+            self.proc.terminate()
+            self.proc.wait(timeout=3)
+        except Exception:
+            try:
+                self.proc.kill()
+            except Exception:
+                pass
+
+
+def _tokenize_function(
+    examples: dict[str, Any], tokenizer: AutoTokenizer
+) -> dict[str, Any]:
+    encodings = tokenizer(
+        examples["text"],
+        padding=False,
+        truncation=False,
+        return_length=True,  # much faster, avoids storing all IDs
+    )  # type: ignore
+    return {"token_count": encodings["length"]}
+
+
+def add_token_count(
+    ds: Dataset,
+    tokenizer_name: str = "AI-Sweden-Models/Llama-3-8B-instruct",
+    num_proc: int = 4,
+) -> Dataset:
+    tokenizer = AutoTokenizer.from_pretrained(tokenizer_name, use_fast=True)
+
+    tokenize = partial(_tokenize_function, tokenizer=tokenizer)  # type: ignore
+
+    ds = ds.map(tokenize, batched=True, num_proc=num_proc)
+    return ds
+
+
+def download_wiki_dump(url: str, file_path: str):
+    """
+    Downloads a file from a URL with a progress bar.
+
+    Args:
+        url (str): The URL of the file to download.
+        file_path (str): The local path to save the file.
+    """
+    print(f"Downloading {url} to {file_path}...")
+    try:
+        with requests.get(url, stream=True) as r:
+            r.raise_for_status()
+            total_size = int(r.headers.get("content-length", 0))
+            block_size = 8192  # 8 Kibibytes
+
+            with open(file_path, "wb") as f:
+                downloaded_size = 0
+                for chunk in r.iter_content(chunk_size=block_size):
+                    f.write(chunk)
+                    downloaded_size += len(chunk)
+                    # Simple progress indicator
+                    progress = (
+                        (downloaded_size / total_size) * 100 if total_size > 0 else 0
+                    )
+                    sys.stdout.write(
+                        f"\r -> Progress: {downloaded_size / (1024*1024):.2f} MB / {total_size / (1024*1024):.2f} MB ({progress:.2f}%)"
+                    )
+                    sys.stdout.flush()
+        print("\nDownload complete.")
+    except requests.exceptions.RequestException as e:
+        print(f"\nError downloading file: {e}")
+        sys.exit(1)
+
+
+def get_content(file_name: str):
+    with bz2.open(file_name, mode="r") as fp:
+        yield from fp
+
+
+def process_dump_to_parquet(bz2_file_path: str, parquet_file_path: str):
+    dump = IteratorDump(iterator=get_content(file_name=bz2_file_path))
+    pages = DumpReaderArticles().read(dump)
+    articles = []
+    today = datetime.datetime.now().strftime("%Y-%m-%d")
+
+    bridge = WtfNodeBridge("parser/wtf_bridge.js")
+    try:
+        for page in tqdm(pages):
+            try:
+                plain_text, is_redirect = bridge.parse(page.content, lang="da")
+            except Exception as exc:
+                logger.warning(
+                    "wtf parse failed for page %s: %s -- falling back to mwparserfromhell",
+                    getattr(page, "title", "<unknown>"),
+                    exc,
+                )
+                plain_text = parse(page.content).strip_code().strip()
+                is_redirect = plain_text.startswith("REDIRECT")
+
+            if is_redirect:
+                continue
+
+            # Additional cleanup if you like (wtf.text() already removes a lot)
+            plain_text = re.sub(
+                r"thumb(?:\|(?:left|right|center|\d+px)*)*\|[^\n]*", "", plain_text
+            ).strip()
+
+            if len(plain_text) == 0:
+                logger.warning("Skipping empty article")
+                continue
+
+            date = datetime.datetime.strptime(
+                page.timestamp, "%Y-%m-%dT%H:%M:%SZ"
+            ).strftime("%Y-%m-%d")
+
+            articles.append(
+                {
+                    "id": f"{source}_{page.page_id}",
+                    "source": source,
+                    "created": f"{date}, {date}",
+                    "text": f"{page.title}\n{plain_text}",
+                    "added": today,
+                }
+            )
+    finally:
+        bridge.close()
+
+    df = pd.DataFrame(articles)
+    ds = Dataset.from_pandas(df)
+    ds = add_token_count(ds)
+    ds = remove_empty_texts(ds)
+    ds = remove_duplicate_text(ds)
+    ds = ensure_column_order(ds)
+    ds.to_parquet(parquet_file_path, compression="snappy")
+
+
+def main():
+    """
+    Main function to orchestrate the download and processing.
+    """
+    # --- Configuration ---
+    # URL for the latest Danish Wikipedia articles dump
+    WIKI_DUMP_URL = f"https://dumps.wikimedia.org/da{source}/latest/da{source}-latest-pages-articles.xml.bz2"
+
+    # Local file paths
+    DOWNLOADED_BZ2_FILE = f"tmp/da{source}-latest-pages-articles.xml.bz2"
+    OUTPUT_PARQUET_FILE = f"{source}.parquet"
+
+    # --- Execution ---
+    # 1. Download the dump file
+    if not os.path.exists(DOWNLOADED_BZ2_FILE):
+        download_wiki_dump(WIKI_DUMP_URL, DOWNLOADED_BZ2_FILE)
+    else:
+        print(f"File '{DOWNLOADED_BZ2_FILE}' already exists. Skipping download.")
+
+    # 2. Process the dump and save to Parquet
+    process_dump_to_parquet(DOWNLOADED_BZ2_FILE, OUTPUT_PARQUET_FILE)
+
+    # 3. (Optional) Clean up the downloaded file
+    # If you want to keep the bz2 file, comment out the next line.
+    print(f"Cleaning up by removing '{DOWNLOADED_BZ2_FILE}'...")
+    os.remove(DOWNLOADED_BZ2_FILE)
+
+    print("\nScript finished successfully.")
+
+
+if __name__ == "__main__":
+    # Before running, make sure you have the required libraries installed:
+    # pip install requests mwparserfromhell pandas pyarrow
+    main()

data/wiki/descriptive_stats.json

@@ -1,9 +1,9 @@
 {
-  "number_of_samples": 264433,
-  "number_of_tokens": 122002149,
-  "min_length_tokens": 3,
-  "max_length_tokens": 83123,
-  "number_of_characters": 366763808,
-  "min_length_characters": 5,
-  "max_length_characters": 247835
+  "number_of_samples": 309641,
+  "number_of_tokens": 173334040,
+  "min_length_tokens": 8,
+  "max_length_tokens": 107351,
+  "number_of_characters": 518132934,
+  "min_length_characters": 13,
+  "max_length_characters": 321469
 }

data/wiki/parser/package-lock.json

@@ -0,0 +1,724 @@
+{
+  "name": "parser",
+  "version": "1.0.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "parser",
+      "version": "1.0.0",
+      "license": "ISC",
+      "dependencies": {
+        "wtf_wikipedia": "^10.4.0"
+      }
+    },
+    "node_modules/@babel/code-frame": {
+      "version": "7.27.1",
+      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.27.1.tgz",
+      "integrity": "sha512-cjQ7ZlQ0Mv3b47hABuTevyTuYN4i+loJKGeV9flcCgIK37cCXRh+L1bd3iBHlynerhQ7BhCkn2BPbQUL+rGqFg==",
+      "license": "MIT",
+      "dependencies": {
+        "@babel/helper-validator-identifier": "^7.27.1",
+        "js-tokens": "^4.0.0",
+        "picocolors": "^1.1.1"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/helper-validator-identifier": {
+      "version": "7.27.1",
+      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.27.1.tgz",
+      "integrity": "sha512-D2hP9eA+Sqx1kBZgzxZh0y1trbuU+JoDkiEwqhQ36nodYqJwyEIhPSdMNd7lOm/4io72luTPWH20Yda0xOuUow==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@types/minimist": {
+      "version": "1.2.5",
+      "resolved": "https://registry.npmjs.org/@types/minimist/-/minimist-1.2.5.tgz",
+      "integrity": "sha512-hov8bUuiLiyFPGyFPE1lwWhmzYbirOXQNNo40+y3zow8aFVTeyn3VWL0VFFfdNddA8S4Vf0Tc062rzyNr7Paag==",
+      "license": "MIT"
+    },
+    "node_modules/@types/normalize-package-data": {
+      "version": "2.4.4",
+      "resolved": "https://registry.npmjs.org/@types/normalize-package-data/-/normalize-package-data-2.4.4.tgz",
+      "integrity": "sha512-37i+OaWTh9qeK4LSHPsyRC7NahnGotNuZvjLSgcPzblpHB3rrCJxAOgI5gCdKm7coonsaX1Of0ILiTcnZjbfxA==",
+      "license": "MIT"
+    },
+    "node_modules/arrify": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/arrify/-/arrify-1.0.1.tgz",
+      "integrity": "sha512-3CYzex9M9FGQjCGMGyi6/31c8GJbgb0qGyrx5HWxPd0aCwh4cB2YjMb2Xf9UuoogrMrlO9cTqnB5rI5GHZTcUA==",
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+      "resolved": "https://registry.npmjs.org/strip-indent/-/strip-indent-4.0.0.tgz",
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+        "min-indent": "^1.0.1"
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+    },
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+        "node": ">=12"
+      },
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+        "url": "https://github.com/sponsors/sindresorhus"
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+      "license": "(MIT OR CC0-1.0)",
+      "engines": {
+        "node": ">=10"
+      },
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+        "url": "https://github.com/sponsors/sindresorhus"
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+      "dependencies": {
+        "spdx-correct": "^3.0.0",
+        "spdx-expression-parse": "^3.0.0"
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+      "resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-3.0.1.tgz",
+      "integrity": "sha512-2JAn3z8AR6rjK8Sm8orRC0h/bcl/DqL7tRPdGZ4I1CjdF+EaMLmYxBHyXuKL849eucPFhvBoxMsflfOb8kxaeQ==",
+      "license": "BSD-2-Clause"
+    },
+    "node_modules/whatwg-url": {
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-5.0.0.tgz",
+      "integrity": "sha512-saE57nupxk6v3HY35+jzBwYa0rKSy0XR8JSxZPwgLr7ys0IBzhGviA1/TUGJLmSVqs8pb9AnvICXEuOHLprYTw==",
+      "license": "MIT",
+      "dependencies": {
+        "tr46": "~0.0.3",
+        "webidl-conversions": "^3.0.0"
+      }
+    },
+    "node_modules/wtf_wikipedia": {
+      "version": "10.4.0",
+      "resolved": "https://registry.npmjs.org/wtf_wikipedia/-/wtf_wikipedia-10.4.0.tgz",
+      "integrity": "sha512-yRxTiBURj2LW5HWAe+T7bCV2x45C/qTqcknUTmInKmB9cmLSxR6Nh44rB9K+nfNiydtjc3HLHwYWxMuHZtpVSQ==",
+      "hasInstallScript": true,
+      "license": "MIT",
+      "dependencies": {
+        "isomorphic-unfetch": "^3.1.0",
+        "path-exists-cli": "2.0.0"
+      },
+      "bin": {
+        "wtf_wikipedia": "cli.js"
+      },
+      "engines": {
+        "node": ">=12.0.0"
+      }
+    },
+    "node_modules/yallist": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
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+      "license": "ISC"
+    },
+    "node_modules/yargs-parser": {
+      "version": "20.2.9",
+      "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-20.2.9.tgz",
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+      "license": "ISC",
+      "engines": {
+        "node": ">=10"
+      }
+    },
+    "node_modules/yocto-queue": {
+      "version": "0.1.0",
+      "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz",
+      "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    }
+  }
+}

data/wiki/parser/package.json

@@ -0,0 +1,16 @@
+{
+  "name": "parser",
+  "version": "1.0.0",
+  "description": "",
+  "main": "index.js",
+  "scripts": {
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "keywords": [],
+  "author": "",
+  "license": "ISC",
+  "type": "commonjs",
+  "dependencies": {
+    "wtf_wikipedia": "^10.4.0"
+  }
+}

data/wiki/parser/wtf_bridge.js

@@ -0,0 +1,39 @@
+// wtf_bridge.js
+// Usage: node wtf_bridge.js
+// Reads newline-delimited JSON from stdin: {"wikitext":"...","lang":"da"}
+// Writes newline-delimited JSON to stdout: {"text":"...","isRedirect":false} or {"error":"..."}
+const wtf = require('wtf_wikipedia');
+const readline = require('readline');
+
+const rl = readline.createInterface({
+  input: process.stdin,
+  output: process.stdout,
+  terminal: false
+});
+
+process.on('uncaughtException', (err) => {
+  // emit as JSON so Python can see it
+  try {
+    process.stdout.write(JSON.stringify({ error: String(err && err.stack || err) }) + '\n');
+  } catch (e) {}
+  process.exit(1);
+});
+
+rl.on('line', (line) => {
+  (async () => {
+    try {
+      const payload = JSON.parse(line);
+      const wikitext = payload.wikitext || '';
+      const lang = payload.lang || null;
+
+      // parse wikitext into a document (sync)
+      const doc = lang ? wtf(wikitext, lang) : wtf(wikitext);
+      const text = (doc && typeof doc.text === 'function') ? doc.text() : '';
+      const isRedirect = (doc && typeof doc.isRedirect === 'function') ? doc.isRedirect() : false;
+
+      process.stdout.write(JSON.stringify({ text, isRedirect }) + '\n');
+    } catch (err) {
+      process.stdout.write(JSON.stringify({ error: String(err && err.stack || err) }) + '\n');
+    }
+  })();
+});

data/wiki/wiki.md

@@ -30,9 +30,9 @@ You can read more about wikipedia on their [about](https://en.wikipedia.org/wiki
 
 
 <!-- START-DESC-STATS -->
-- **Number of samples**: 264.43K
-- **Number of tokens (Llama 3)**: 122.00M
-- **Average document length in tokens (min, max)**: 461.372631252529 (3, 83.12K)
+- **Number of samples**: 309.64K
+- **Number of tokens (Llama 3)**: 173.33M
+- **Average document length in tokens (min, max)**: 559.7903378428567 (8, 107.35K)
 <!-- END-DESC-STATS -->
 
 
@@ -44,12 +44,12 @@ An example from the dataset looks as follows.
 <!-- START-SAMPLE -->
 ```py
 {
-  "id": "wiki_366127",
-  "text": "Vimoutiers er en kommune i departementet Orne i Basse-Normandie regionen i det nordvestlige Frankrig[...]",
+  "id": "wiki_2",
+  "text": "Arkæologi\nArkæologi er studiet af tidligere tiders menneskelige aktivitet, primært gennem studiet af[...]",
   "source": "wiki",
-  "added": "2021-03-28",
-  "created": "2019-01-01, 2021-01-01",
-  "token_count": 126
+  "added": "2025-08-18",
+  "created": "2024-06-16, 2024-06-16",
+  "token_count": 3380
 }
 ```
 
@@ -74,6 +74,18 @@ An entry in the dataset consists of the following fields:
 <!-- END-DATASET PLOTS -->
 
 
+### Processing
+
+For this dataset we have pulled the latest [database dump from wikimedia](https://dumps.wikimedia.org/dawiki/latest/) and extracted the texts using the [wtf_wikipedia](https://github.com/spencermountain/wtf_wikipedia/tree/dev) parser. 
+
+Because the parser is written in javascript you need to have Node.js installed on you machine. 
+
+To run the `create.py` file you first need to do:
+
+```bash
+$ cd parser/ && npm install && cd ..
+```
+
 
 ## Additional Information
 

data/wiki/wiki.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b141c49429bbdca99ee7edc21f5cf2065935cbd0d7b342fae62ea8c305f6d901
-size 242613795
+oid sha256:d0a8f27f66a761017e155b7820366227cd75566379aa755611f53e9299ed8717
+size 318870452

data/wikibooks/create.py

@@ -0,0 +1,282 @@
+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "datasets",
+#     "mediawiki-dump",
+#     "mwparserfromhell",
+#     "pandas",
+#     "requests",
+#     "tqdm",
+#     "transformers",
+#     "dynaword"
+# ]
+# [tool.uv.sources]
+# dynaword = { git = "https://huggingface.co/datasets/danish-foundation-models/danish-dynaword", rev = "00e7f2aee7f7ad2da423419f77ecbb9c0536de0d" }
+# ///
+import bz2
+import datetime
+import json
+import logging
+import os
+import re
+import subprocess
+import sys
+import threading
+
+from mediawiki_dump.dumps import IteratorDump
+from mediawiki_dump.reader import DumpReaderArticles
+
+from mwparserfromhell import parse
+
+import requests
+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 dynaword.process_dataset import (
+    # add_token_count,
+    ensure_column_order,
+    remove_duplicate_text,
+    remove_empty_texts,
+)
+
+logger = logging.getLogger(__name__)
+logging.basicConfig(
+    level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
+)
+source = "wikibooks"
+
+
+class WtfNodeBridge:
+    """
+    Persistent Node bridge to wtf_wikipedia.
+    Call .parse(wikitext, lang=None) -> (text, is_redirect)
+    Remember to call .close() when done.
+    """
+
+    def __init__(
+        self, node_script_path: str = "parser/wtf_bridge.js", node_cmd: str = "node"
+    ):
+        self.proc = subprocess.Popen(
+            [node_cmd, node_script_path],
+            stdin=subprocess.PIPE,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+            text=True,
+            encoding="utf-8",
+            bufsize=1,
+        )
+        self._lock = threading.Lock()
+
+        # background thread to log stderr (helpful for debugging)
+        def _drain_stderr(p):
+            try:
+                for line in p.stderr:
+                    logger.warning("wtf_node stderr: %s", line.rstrip())
+            except Exception:
+                pass
+
+        t = threading.Thread(target=_drain_stderr, args=(self.proc,), daemon=True)
+        t.start()
+
+    def parse(self, wikitext: str, lang: str | None = None) -> Tuple[str, bool]:
+        if self.proc.poll() is not None:
+            raise RuntimeError("Node bridge process has exited")
+        payload = {"wikitext": wikitext}
+        if lang:
+            payload["lang"] = lang
+        line = json.dumps(payload, ensure_ascii=False)
+        with self._lock:
+            # write and flush a single JSON line
+            try:
+                self.proc.stdin.write(line + "\n")
+                self.proc.stdin.flush()
+            except BrokenPipeError as e:
+                raise RuntimeError("Broken pipe writing to node bridge") from e
+
+            # read exactly one JSON line back
+            out_line = self.proc.stdout.readline()
+            if not out_line:
+                raise RuntimeError("No response from node bridge (it may have exited)")
+            res = json.loads(out_line)
+            if res.get("error"):
+                # choose to either raise or return empty text; here we raise
+                raise RuntimeError("Node bridge error: " + res["error"])
+            return res.get("text", ""), bool(res.get("isRedirect", False))
+
+    def close(self):
+        try:
+            if self.proc.stdin:
+                self.proc.stdin.close()
+        except Exception:
+            pass
+        try:
+            self.proc.terminate()
+            self.proc.wait(timeout=3)
+        except Exception:
+            try:
+                self.proc.kill()
+            except Exception:
+                pass
+
+
+def _tokenize_function(
+    examples: dict[str, Any], tokenizer: AutoTokenizer
+) -> dict[str, Any]:
+    encodings = tokenizer(
+        examples["text"],
+        padding=False,
+        truncation=False,
+        return_length=True,  # much faster, avoids storing all IDs
+    )  # type: ignore
+    return {"token_count": encodings["length"]}
+
+
+def add_token_count(
+    ds: Dataset,
+    tokenizer_name: str = "AI-Sweden-Models/Llama-3-8B-instruct",
+    num_proc: int = 4,
+) -> Dataset:
+    tokenizer = AutoTokenizer.from_pretrained(tokenizer_name, use_fast=True)
+
+    tokenize = partial(_tokenize_function, tokenizer=tokenizer)  # type: ignore
+
+    ds = ds.map(tokenize, batched=True, num_proc=num_proc)
+    return ds
+
+
+def download_wiki_dump(url: str, file_path: str):
+    """
+    Downloads a file from a URL with a progress bar.
+
+    Args:
+        url (str): The URL of the file to download.
+        file_path (str): The local path to save the file.
+    """
+    print(f"Downloading {url} to {file_path}...")
+    try:
+        with requests.get(url, stream=True) as r:
+            r.raise_for_status()
+            total_size = int(r.headers.get("content-length", 0))
+            block_size = 8192  # 8 Kibibytes
+
+            with open(file_path, "wb") as f:
+                downloaded_size = 0
+                for chunk in r.iter_content(chunk_size=block_size):
+                    f.write(chunk)
+                    downloaded_size += len(chunk)
+                    # Simple progress indicator
+                    progress = (
+                        (downloaded_size / total_size) * 100 if total_size > 0 else 0
+                    )
+                    sys.stdout.write(
+                        f"\r -> Progress: {downloaded_size / (1024*1024):.2f} MB / {total_size / (1024*1024):.2f} MB ({progress:.2f}%)"
+                    )
+                    sys.stdout.flush()
+        print("\nDownload complete.")
+    except requests.exceptions.RequestException as e:
+        print(f"\nError downloading file: {e}")
+        sys.exit(1)
+
+
+def get_content(file_name: str):
+    with bz2.open(file_name, mode="r") as fp:
+        yield from fp
+
+
+def process_dump_to_parquet(bz2_file_path: str, parquet_file_path: str):
+    dump = IteratorDump(iterator=get_content(file_name=bz2_file_path))
+    pages = DumpReaderArticles().read(dump)
+    articles = []
+    today = datetime.datetime.now().strftime("%Y-%m-%d")
+
+    bridge = WtfNodeBridge("parser/wtf_bridge.js")
+    try:
+        for page in tqdm(pages):
+            try:
+                plain_text, is_redirect = bridge.parse(page.content, lang="da")
+            except Exception as exc:
+                logger.warning(
+                    "wtf parse failed for page %s: %s -- falling back to mwparserfromhell",
+                    getattr(page, "title", "<unknown>"),
+                    exc,
+                )
+                plain_text = parse(page.content).strip_code().strip()
+                is_redirect = plain_text.startswith("REDIRECT")
+
+            if is_redirect:
+                continue
+
+            # Additional cleanup if you like (wtf.text() already removes a lot)
+            plain_text = re.sub(
+                r"thumb(?:\|(?:left|right|center|\d+px)*)*\|[^\n]*", "", plain_text
+            ).strip()
+
+            if len(plain_text) == 0:
+                logger.warning("Skipping empty article")
+                continue
+
+            date = datetime.datetime.strptime(
+                page.timestamp, "%Y-%m-%dT%H:%M:%SZ"
+            ).strftime("%Y-%m-%d")
+
+            articles.append(
+                {
+                    "id": f"{source}_{page.page_id}",
+                    "source": source,
+                    "created": f"{date}, {date}",
+                    "text": f"{page.title}\n{plain_text}",
+                    "added": today,
+                }
+            )
+    finally:
+        bridge.close()
+
+    df = pd.DataFrame(articles)
+    ds = Dataset.from_pandas(df)
+    ds = add_token_count(ds)
+    ds = remove_empty_texts(ds)
+    ds = remove_duplicate_text(ds)
+    ds = ensure_column_order(ds)
+    ds.to_parquet(parquet_file_path, compression="snappy")
+
+
+def main():
+    """
+    Main function to orchestrate the download and processing.
+    """
+    # --- Configuration ---
+    # URL for the latest Danish Wikipedia articles dump
+    WIKI_DUMP_URL = f"https://dumps.wikimedia.org/da{source}/latest/da{source}-latest-pages-articles.xml.bz2"
+
+    # Local file paths
+    DOWNLOADED_BZ2_FILE = f"tmp/da{source}-latest-pages-articles.xml.bz2"
+    OUTPUT_PARQUET_FILE = f"{source}.parquet"
+
+    # --- Execution ---
+    # 1. Download the dump file
+    if not os.path.exists(DOWNLOADED_BZ2_FILE):
+        download_wiki_dump(WIKI_DUMP_URL, DOWNLOADED_BZ2_FILE)
+    else:
+        print(f"File '{DOWNLOADED_BZ2_FILE}' already exists. Skipping download.")
+
+    # 2. Process the dump and save to Parquet
+    process_dump_to_parquet(DOWNLOADED_BZ2_FILE, OUTPUT_PARQUET_FILE)
+
+    # 3. (Optional) Clean up the downloaded file
+    # If you want to keep the bz2 file, comment out the next line.
+    print(f"Cleaning up by removing '{DOWNLOADED_BZ2_FILE}'...")
+    os.remove(DOWNLOADED_BZ2_FILE)
+
+    print("\nScript finished successfully.")
+
+
+if __name__ == "__main__":
+    # Before running, make sure you have the required libraries installed:
+    # pip install requests mwparserfromhell pandas pyarrow
+    main()

data/wikibooks/descriptive_stats.json

@@ -1,9 +1,9 @@
 {
-  "number_of_samples": 1268,
-  "number_of_tokens": 6237322,
-  "min_length_tokens": 4,
-  "max_length_tokens": 365886,
-  "number_of_characters": 17525790,
-  "min_length_characters": 6,
-  "max_length_characters": 1007458
+  "number_of_samples": 1734,
+  "number_of_tokens": 7632997,
+  "min_length_tokens": 8,
+  "max_length_tokens": 368880,
+  "number_of_characters": 21572592,
+  "min_length_characters": 21,
+  "max_length_characters": 1019370
 }

data/wikibooks/parser/package-lock.json

@@ -0,0 +1,724 @@
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+      "dependencies": {
+        "wtf_wikipedia": "^10.4.0"
+      }
+    },
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+      "license": "MIT",
+      "dependencies": {
+        "@babel/helper-validator-identifier": "^7.27.1",
+        "js-tokens": "^4.0.0",
+        "picocolors": "^1.1.1"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/helper-validator-identifier": {
+      "version": "7.27.1",
+      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.27.1.tgz",
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+      "license": "MIT",
+      "engines": {
+        "node": ">=6.9.0"
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+}

data/wikibooks/parser/package.json

@@ -0,0 +1,16 @@
+{
+  "name": "parser",
+  "version": "1.0.0",
+  "description": "",
+  "main": "index.js",
+  "scripts": {
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "keywords": [],
+  "author": "",
+  "license": "ISC",
+  "type": "commonjs",
+  "dependencies": {
+    "wtf_wikipedia": "^10.4.0"
+  }
+}

data/wikibooks/parser/wtf_bridge.js

@@ -0,0 +1,39 @@
+// wtf_bridge.js
+// Usage: node wtf_bridge.js
+// Reads newline-delimited JSON from stdin: {"wikitext":"...","lang":"da"}
+// Writes newline-delimited JSON to stdout: {"text":"...","isRedirect":false} or {"error":"..."}
+const wtf = require('wtf_wikipedia');
+const readline = require('readline');
+
+const rl = readline.createInterface({
+  input: process.stdin,
+  output: process.stdout,
+  terminal: false
+});
+
+process.on('uncaughtException', (err) => {
+  // emit as JSON so Python can see it
+  try {
+    process.stdout.write(JSON.stringify({ error: String(err && err.stack || err) }) + '\n');
+  } catch (e) {}
+  process.exit(1);
+});
+
+rl.on('line', (line) => {
+  (async () => {
+    try {
+      const payload = JSON.parse(line);
+      const wikitext = payload.wikitext || '';
+      const lang = payload.lang || null;
+
+      // parse wikitext into a document (sync)
+      const doc = lang ? wtf(wikitext, lang) : wtf(wikitext);
+      const text = (doc && typeof doc.text === 'function') ? doc.text() : '';
+      const isRedirect = (doc && typeof doc.isRedirect === 'function') ? doc.isRedirect() : false;
+
+      process.stdout.write(JSON.stringify({ text, isRedirect }) + '\n');
+    } catch (err) {
+      process.stdout.write(JSON.stringify({ error: String(err && err.stack || err) }) + '\n');
+    }
+  })();
+});

data/wikibooks/wikibooks.md

@@ -28,9 +28,9 @@ The Danish Subsection of [Wikibooks](https://www.wikibooks.org).
 
 
 <!-- START-DESC-STATS -->
-- **Number of samples**: 1.27K
-- **Number of tokens (Llama 3)**: 6.24M
-- **Average document length in tokens (min, max)**: 4.92K (4, 365.89K)
+- **Number of samples**: 1.73K
+- **Number of tokens (Llama 3)**: 7.63M
+- **Average document length in tokens (min, max)**: 4.40K (8, 368.88K)
 <!-- END-DESC-STATS -->
 
 
@@ -42,12 +42,12 @@ An example from the dataset looks as follows.
 <!-- START-SAMPLE -->
 ```py
 {
-  "id": "wikibooks_1125",
-  "text": "Spilinfo.\nSpillet er lavet af Blizzard Entertainment.\nDet er efterfølgeren til Diablo 1, og der er k[...]",
+  "id": "wikibooks_7",
+  "text": "Boghylde:Hobbies\nHobbies er alle de aktiviteter vi giver os ud i, uden at forvente et afkast ud over[...]",
   "source": "wikibooks",
-  "added": "2021-03-28",
-  "created": "2019-01-01, 2021-01-01",
-  "token_count": 937
+  "added": "2025-08-18",
+  "created": "2006-06-20, 2006-06-20",
+  "token_count": 95
 }
 ```
 
@@ -73,6 +73,19 @@ An entry in the dataset consists of the following fields:
 <!-- END-DATASET PLOTS -->
 
 
+### Processing
+
+For this dataset we have pulled the latest [database dump from wikimedia](https://dumps.wikimedia.org/dawikibooks/latest/) and extracted the texts using the [wtf_wikipedia](https://github.com/spencermountain/wtf_wikipedia/tree/dev) parser. 
+
+Because the parser is written in javascript you need to have Node.js installed on you machine. 
+
+To run the `create.py` file you first need to do:
+
+```bash
+$ cd parser/ && npm install && cd ..
+```
+
+
 ## Additional Information
 
 

data/wikibooks/wikibooks.parquet

@@ -1,3 +1,3 @@
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data/wikisource/create.py

@@ -0,0 +1,282 @@
+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "datasets",
+#     "mediawiki-dump",
+#     "mwparserfromhell",
+#     "pandas",
+#     "requests",
+#     "tqdm",
+#     "transformers",
+#     "dynaword"
+# ]
+# [tool.uv.sources]
+# dynaword = { git = "https://huggingface.co/datasets/danish-foundation-models/danish-dynaword", rev = "00e7f2aee7f7ad2da423419f77ecbb9c0536de0d" }
+# ///
+import bz2
+import datetime
+import json
+import logging
+import os
+import re
+import subprocess
+import sys
+import threading
+
+from mediawiki_dump.dumps import IteratorDump
+from mediawiki_dump.reader import DumpReaderArticles
+
+from mwparserfromhell import parse
+
+import requests
+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 dynaword.process_dataset import (
+    # add_token_count,
+    ensure_column_order,
+    remove_duplicate_text,
+    remove_empty_texts,
+)
+
+logger = logging.getLogger(__name__)
+logging.basicConfig(
+    level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
+)
+source = "wikisource"
+
+
+class WtfNodeBridge:
+    """
+    Persistent Node bridge to wtf_wikipedia.
+    Call .parse(wikitext, lang=None) -> (text, is_redirect)
+    Remember to call .close() when done.
+    """
+
+    def __init__(
+        self, node_script_path: str = "parser/wtf_bridge.js", node_cmd: str = "node"
+    ):
+        self.proc = subprocess.Popen(
+            [node_cmd, node_script_path],
+            stdin=subprocess.PIPE,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+            text=True,
+            encoding="utf-8",
+            bufsize=1,
+        )
+        self._lock = threading.Lock()
+
+        # background thread to log stderr (helpful for debugging)
+        def _drain_stderr(p):
+            try:
+                for line in p.stderr:
+                    logger.warning("wtf_node stderr: %s", line.rstrip())
+            except Exception:
+                pass
+
+        t = threading.Thread(target=_drain_stderr, args=(self.proc,), daemon=True)
+        t.start()
+
+    def parse(self, wikitext: str, lang: str | None = None) -> Tuple[str, bool]:
+        if self.proc.poll() is not None:
+            raise RuntimeError("Node bridge process has exited")
+        payload = {"wikitext": wikitext}
+        if lang:
+            payload["lang"] = lang
+        line = json.dumps(payload, ensure_ascii=False)
+        with self._lock:
+            # write and flush a single JSON line
+            try:
+                self.proc.stdin.write(line + "\n")
+                self.proc.stdin.flush()
+            except BrokenPipeError as e:
+                raise RuntimeError("Broken pipe writing to node bridge") from e
+
+            # read exactly one JSON line back
+            out_line = self.proc.stdout.readline()
+            if not out_line:
+                raise RuntimeError("No response from node bridge (it may have exited)")
+            res = json.loads(out_line)
+            if res.get("error"):
+                # choose to either raise or return empty text; here we raise
+                raise RuntimeError("Node bridge error: " + res["error"])
+            return res.get("text", ""), bool(res.get("isRedirect", False))
+
+    def close(self):
+        try:
+            if self.proc.stdin:
+                self.proc.stdin.close()
+        except Exception:
+            pass
+        try:
+            self.proc.terminate()
+            self.proc.wait(timeout=3)
+        except Exception:
+            try:
+                self.proc.kill()
+            except Exception:
+                pass
+
+
+def _tokenize_function(
+    examples: dict[str, Any], tokenizer: AutoTokenizer
+) -> dict[str, Any]:
+    encodings = tokenizer(
+        examples["text"],
+        padding=False,
+        truncation=False,
+        return_length=True,  # much faster, avoids storing all IDs
+    )  # type: ignore
+    return {"token_count": encodings["length"]}
+
+
+def add_token_count(
+    ds: Dataset,
+    tokenizer_name: str = "AI-Sweden-Models/Llama-3-8B-instruct",
+    num_proc: int = 4,
+) -> Dataset:
+    tokenizer = AutoTokenizer.from_pretrained(tokenizer_name, use_fast=True)
+
+    tokenize = partial(_tokenize_function, tokenizer=tokenizer)  # type: ignore
+
+    ds = ds.map(tokenize, batched=True, num_proc=num_proc)
+    return ds
+
+
+def download_wiki_dump(url: str, file_path: str):
+    """
+    Downloads a file from a URL with a progress bar.
+
+    Args:
+        url (str): The URL of the file to download.
+        file_path (str): The local path to save the file.
+    """
+    print(f"Downloading {url} to {file_path}...")
+    try:
+        with requests.get(url, stream=True) as r:
+            r.raise_for_status()
+            total_size = int(r.headers.get("content-length", 0))
+            block_size = 8192  # 8 Kibibytes
+
+            with open(file_path, "wb") as f:
+                downloaded_size = 0
+                for chunk in r.iter_content(chunk_size=block_size):
+                    f.write(chunk)
+                    downloaded_size += len(chunk)
+                    # Simple progress indicator
+                    progress = (
+                        (downloaded_size / total_size) * 100 if total_size > 0 else 0
+                    )
+                    sys.stdout.write(
+                        f"\r -> Progress: {downloaded_size / (1024*1024):.2f} MB / {total_size / (1024*1024):.2f} MB ({progress:.2f}%)"
+                    )
+                    sys.stdout.flush()
+        print("\nDownload complete.")
+    except requests.exceptions.RequestException as e:
+        print(f"\nError downloading file: {e}")
+        sys.exit(1)
+
+
+def get_content(file_name: str):
+    with bz2.open(file_name, mode="r") as fp:
+        yield from fp
+
+
+def process_dump_to_parquet(bz2_file_path: str, parquet_file_path: str):
+    dump = IteratorDump(iterator=get_content(file_name=bz2_file_path))
+    pages = DumpReaderArticles().read(dump)
+    articles = []
+    today = datetime.datetime.now().strftime("%Y-%m-%d")
+
+    bridge = WtfNodeBridge("parser/wtf_bridge.js")
+    try:
+        for page in tqdm(pages):
+            try:
+                plain_text, is_redirect = bridge.parse(page.content, lang="da")
+            except Exception as exc:
+                logger.warning(
+                    "wtf parse failed for page %s: %s -- falling back to mwparserfromhell",
+                    getattr(page, "title", "<unknown>"),
+                    exc,
+                )
+                plain_text = parse(page.content).strip_code().strip()
+                is_redirect = plain_text.startswith("REDIRECT")
+
+            if is_redirect:
+                continue
+
+            # Additional cleanup if you like (wtf.text() already removes a lot)
+            plain_text = re.sub(
+                r"thumb(?:\|(?:left|right|center|\d+px)*)*\|[^\n]*", "", plain_text
+            ).strip()
+
+            if len(plain_text) == 0:
+                logger.warning("Skipping empty article")
+                continue
+
+            date = datetime.datetime.strptime(
+                page.timestamp, "%Y-%m-%dT%H:%M:%SZ"
+            ).strftime("%Y-%m-%d")
+
+            articles.append(
+                {
+                    "id": f"{source}_{page.page_id}",
+                    "source": source,
+                    "created": f"{date}, {date}",
+                    "text": f"{page.title}\n{plain_text}",
+                    "added": today,
+                }
+            )
+    finally:
+        bridge.close()
+
+    df = pd.DataFrame(articles)
+    ds = Dataset.from_pandas(df)
+    ds = add_token_count(ds)
+    ds = remove_empty_texts(ds)
+    ds = remove_duplicate_text(ds)
+    ds = ensure_column_order(ds)
+    ds.to_parquet(parquet_file_path, compression="snappy")
+
+
+def main():
+    """
+    Main function to orchestrate the download and processing.
+    """
+    # --- Configuration ---
+    # URL for the latest Danish Wikipedia articles dump
+    WIKI_DUMP_URL = f"https://dumps.wikimedia.org/da{source}/latest/da{source}-latest-pages-articles.xml.bz2"
+
+    # Local file paths
+    DOWNLOADED_BZ2_FILE = f"tmp/da{source}-latest-pages-articles.xml.bz2"
+    OUTPUT_PARQUET_FILE = f"{source}.parquet"
+
+    # --- Execution ---
+    # 1. Download the dump file
+    if not os.path.exists(DOWNLOADED_BZ2_FILE):
+        download_wiki_dump(WIKI_DUMP_URL, DOWNLOADED_BZ2_FILE)
+    else:
+        print(f"File '{DOWNLOADED_BZ2_FILE}' already exists. Skipping download.")
+
+    # 2. Process the dump and save to Parquet
+    process_dump_to_parquet(DOWNLOADED_BZ2_FILE, OUTPUT_PARQUET_FILE)
+
+    # 3. (Optional) Clean up the downloaded file
+    # If you want to keep the bz2 file, comment out the next line.
+    print(f"Cleaning up by removing '{DOWNLOADED_BZ2_FILE}'...")
+    os.remove(DOWNLOADED_BZ2_FILE)
+
+    print("\nScript finished successfully.")
+
+
+if __name__ == "__main__":
+    # Before running, make sure you have the required libraries installed:
+    # pip install requests mwparserfromhell pandas pyarrow
+    main()

data/wikisource/descriptive_stats.json

@@ -1,9 +1,9 @@
 {
-  "number_of_samples": 2419,
-  "number_of_tokens": 5344862,
-  "min_length_tokens": 5,
-  "max_length_tokens": 218362,
-  "number_of_characters": 15478618,
-  "min_length_characters": 10,
-  "max_length_characters": 613148
+  "number_of_samples": 3004,
+  "number_of_tokens": 6275973,
+  "min_length_tokens": 17,
+  "max_length_tokens": 261099,
+  "number_of_characters": 18286474,
+  "min_length_characters": 54,
+  "max_length_characters": 754270
 }

data/wikisource/parser/package-lock.json

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+      }
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+      "license": "MIT",
+      "dependencies": {
+        "tr46": "~0.0.3",
+        "webidl-conversions": "^3.0.0"
+      }
+    },
+    "node_modules/wtf_wikipedia": {
+      "version": "10.4.0",
+      "resolved": "https://registry.npmjs.org/wtf_wikipedia/-/wtf_wikipedia-10.4.0.tgz",
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+      "license": "MIT",
+      "dependencies": {
+        "isomorphic-unfetch": "^3.1.0",
+        "path-exists-cli": "2.0.0"
+      },
+      "bin": {
+        "wtf_wikipedia": "cli.js"
+      },
+      "engines": {
+        "node": ">=12.0.0"
+      }
+    },
+    "node_modules/yallist": {
+      "version": "4.0.0",
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+      "license": "ISC"
+    },
+    "node_modules/yargs-parser": {
+      "version": "20.2.9",
+      "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-20.2.9.tgz",
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+      "license": "ISC",
+      "engines": {
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+      "license": "MIT",
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    }
+  }
+}

data/wikisource/parser/package.json

@@ -0,0 +1,16 @@
+{
+  "name": "parser",
+  "version": "1.0.0",
+  "description": "",
+  "main": "index.js",
+  "scripts": {
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "keywords": [],
+  "author": "",
+  "license": "ISC",
+  "type": "commonjs",
+  "dependencies": {
+    "wtf_wikipedia": "^10.4.0"
+  }
+}

data/wikisource/parser/wtf_bridge.js

@@ -0,0 +1,39 @@
+// wtf_bridge.js
+// Usage: node wtf_bridge.js
+// Reads newline-delimited JSON from stdin: {"wikitext":"...","lang":"da"}
+// Writes newline-delimited JSON to stdout: {"text":"...","isRedirect":false} or {"error":"..."}
+const wtf = require('wtf_wikipedia');
+const readline = require('readline');
+
+const rl = readline.createInterface({
+  input: process.stdin,
+  output: process.stdout,
+  terminal: false
+});
+
+process.on('uncaughtException', (err) => {
+  // emit as JSON so Python can see it
+  try {
+    process.stdout.write(JSON.stringify({ error: String(err && err.stack || err) }) + '\n');
+  } catch (e) {}
+  process.exit(1);
+});
+
+rl.on('line', (line) => {
+  (async () => {
+    try {
+      const payload = JSON.parse(line);
+      const wikitext = payload.wikitext || '';
+      const lang = payload.lang || null;
+
+      // parse wikitext into a document (sync)
+      const doc = lang ? wtf(wikitext, lang) : wtf(wikitext);
+      const text = (doc && typeof doc.text === 'function') ? doc.text() : '';
+      const isRedirect = (doc && typeof doc.isRedirect === 'function') ? doc.isRedirect() : false;
+
+      process.stdout.write(JSON.stringify({ text, isRedirect }) + '\n');
+    } catch (err) {
+      process.stdout.write(JSON.stringify({ error: String(err && err.stack || err) }) + '\n');
+    }
+  })();
+});

data/wikisource/wikisource.md

@@ -28,9 +28,9 @@ The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page).
 
 
 <!-- START-DESC-STATS -->
-- **Number of samples**: 2.42K
-- **Number of tokens (Llama 3)**: 5.34M
-- **Average document length in tokens (min, max)**: 2.21K (5, 218.36K)
+- **Number of samples**: 3.00K
+- **Number of tokens (Llama 3)**: 6.28M
+- **Average document length in tokens (min, max)**: 2.09K (17, 261.10K)
 <!-- END-DESC-STATS -->
 
 
@@ -42,12 +42,12 @@ An example from the dataset looks as follows.
 <!-- START-SAMPLE -->
 ```py
 {
-  "id": "wikisource_4804",
-  "text": "&lt;poem&gt;\nKæmpehøjen.\nJeg har stået på mindets høje,\nfølt dets vemodsdybe lyst\nmed en tåre i mit [...]",
+  "id": "wikisource_1292",
+  "text": "Dejlig er den himmel blå\nDejlig er den himmel blå, lyst det er at se derpå, hvor de gyldne stjerner [...]",
   "source": "wikisource",
-  "added": "2021-03-28",
-  "created": "1700-01-01, 2022-01-01",
-  "token_count": 1025
+  "added": "2025-08-18",
+  "created": "2022-04-18, 2022-04-18",
+  "token_count": 1243
 }
 ```
 
@@ -72,6 +72,18 @@ An entry in the dataset consists of the following fields:
 <!-- END-DATASET PLOTS -->
 
 
+### Processing
+
+For this dataset we have pulled the latest [database dump from wikimedia](https://dumps.wikimedia.org/dawikisource/latest/) and extracted the texts using the [wtf_wikipedia](https://github.com/spencermountain/wtf_wikipedia/tree/dev) parser. 
+
+Because the parser is written in javascript you need to have Node.js installed on you machine. 
+
+To run the `create.py` file you first need to do:
+
+```bash
+$ cd parser/ && npm install && cd ..
+```
+
 ## Additional Information
 
 

data/wikisource/wikisource.parquet

@@ -1,3 +1,3 @@
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-oid sha256:adc3206d75182f54ac5019e8cba8e87d07f0b84e64e47ecf6fe6a0003ca3d8bc
-size 9493193
+oid sha256:b6a0405062f691a38eb39cd834281511abf1da0199b08ee9806a7b632e6a055c
+size 10996692

descriptive_stats.json

@@ -1,9 +1,9 @@
 {
-  "number_of_samples": 5554217,
-  "number_of_tokens": 5829657307,
+  "number_of_samples": 5600476,
+  "number_of_tokens": 5883315984,
   "min_length_tokens": 2,
   "max_length_tokens": 9812841,
-  "number_of_characters": 17614232708,
+  "number_of_characters": 17772456492,
   "min_length_characters": 1,
   "max_length_characters": 37287484
 }

images/tokens_over_time.html

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pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "dynaword"
-version = "1.2.8"
+version = "1.2.10"
 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

@@ -1,6 +1,6 @@
 ============================= test session starts ==============================
 platform darwin -- Python 3.12.0, pytest-8.3.4, pluggy-1.5.0
-rootdir: /Users/au561649/Github/danish-dynaword
+rootdir: /Users/kristianjensen/Documents/danish-dynaword
 configfile: pyproject.toml
 plugins: anyio-4.9.0
 collected 346 items
@@ -20,7 +20,7 @@ src/tests/test_unique_ids.py .                                           [100%]
 
 =============================== warnings summary ===============================
 src/tests/test_quality/test_short_texts.py: 38 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.
+  /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
-============ 345 passed, 1 skipped, 38 warnings in 65.92s (0:01:05) ============
+============ 345 passed, 1 skipped, 38 warnings in 89.12s (0:01:29) ============