restructuring-main-table

CHANGELOG.md

@@ -5,6 +5,16 @@ 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/).
 
+## [v1.2.6] - 2025-07-21
+
+### Added
+
+- Added two table to get an overview of data by license and domain
+
+### Changed
+
+- Dataset overview table now appears in a drop down menu
+
 ## [v1.2.5] - 2025-07-08
 
 ### Added

README.md

@@ -182,7 +182,7 @@ https://github.com/huggingface/datasets/blob/main/templates/README_guide.md
 <!-- START README TABLE -->
 |              |                                                                                                                                                             |
 | ------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| **Version** | 1.2.5 ([Changelog](/CHANGELOG.md)) |
+| **Version** | 1.2.6 ([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)                                            |
@@ -198,7 +198,9 @@ https://github.com/huggingface/datasets/blob/main/templates/README_guide.md
   - [Dataset Description](#dataset-description)
     - [Dataset Summary](#dataset-summary)
     - [Loading the dataset](#loading-the-dataset)
-    - [Languages:](#languages)
+    - [Languages](#languages)
+    - [Domains](#domains)
+    - [Licensing](#licensing)
   - [Dataset Structure](#dataset-structure)
     - [Data Instances](#data-instances)
     - [Data Fields](#data-fields)
@@ -261,7 +263,7 @@ You can also load a single subset at a time:
 ds = load_dataset(name, revision="{desired revision}")
 ```
 
-### Languages:
+### Languages
 This dataset includes the following languages:
 
 - dan-Latn
@@ -270,6 +272,137 @@ This dataset includes the following languages:
 
 Language is denoted using [BCP-47](https://en.wikipedia.org/wiki/IETF_language_tag), using the langauge code ISO 639-3 and the script code ISO 15924. The last element denote the region variant.
 
+
+### Domains
+
+This dynaword consist of data from various domains (e.g., legal, books, social media). The following table and figure give an overview of the relative distributions of these domains. To see a full overview of the source check out the [source data section](#source-data)
+
+<div style="display: flex; gap: 20px; align-items: flex-start;">
+
+<div style="flex: 1;">
+
+
+<!-- START-DOMAIN TABLE -->
+| Domain       | Sources                                                                                                  | N. Tokens   |
+|:-------------|:---------------------------------------------------------------------------------------------------------|:------------|
+| Legal        | [cellar], [eur-lex-sum-da], [fm-udgivelser], [retsinformationdk], [skat], [retspraksis], [domsdatabasen] | 2.32B       |
+| Books        | [ncc_books], [memo], [adl], [wikibooks], [jvj], [gutenberg], [relig]                                     | 722.00M     |
+| 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     |
+| News         | [ncc_newspaper], [tv2r], [nordjyllandnews]                                                               | 60.63M      |
+| Medical      | [health_hovedstaden]                                                                                     | 27.07M      |
+| Readaloud    | [nota]                                                                                                   | 7.30M       |
+| Dialect      | [botxt]                                                                                                  | 847.97K     |
+| **Total**    |                                                                                                          | 4.78B       |
+
+[ai-aktindsigt]: data/ai-aktindsigt/ai-aktindsigt.md
+[cellar]: data/cellar/cellar.md
+[danske-taler]: data/danske-taler/danske-taler.md
+[ncc_books]: data/ncc_books/ncc_books.md
+[ncc_newspaper]: data/ncc_newspaper/ncc_newspaper.md
+[ncc_maalfrid]: data/ncc_maalfrid/ncc_maalfrid.md
+[ncc_parliament]: data/ncc_parliament/ncc_parliament.md
+[eur-lex-sum-da]: data/eur-lex-sum-da/eur-lex-sum-da.md
+[miljoeportalen]: data/miljoeportalen/miljoeportalen.md
+[fm-udgivelser]: data/fm-udgivelser/fm-udgivelser.md
+[memo]: data/memo/memo.md
+[opensubtitles]: data/opensubtitles/opensubtitles.md
+[retsinformationdk]: data/retsinformationdk/retsinformationdk.md
+[ep]: data/ep/ep.md
+[ft]: data/ft/ft.md
+[wikisource]: data/wikisource/wikisource.md
+[spont]: data/spont/spont.md
+[tv2r]: data/tv2r/tv2r.md
+[adl]: data/adl/adl.md
+[hest]: data/hest/hest.md
+[skat]: data/skat/skat.md
+[dannet]: data/dannet/dannet.md
+[retspraksis]: data/retspraksis/retspraksis.md
+[wikibooks]: data/wikibooks/wikibooks.md
+[jvj]: data/jvj/jvj.md
+[gutenberg]: data/gutenberg/gutenberg.md
+[botxt]: data/botxt/botxt.md
+[depbank]: data/depbank/depbank.md
+[naat]: data/naat/naat.md
+[synne]: data/synne/synne.md
+[wiki]: data/wiki/wiki.md
+[nordjyllandnews]: data/nordjyllandnews/nordjyllandnews.md
+[relig]: data/relig/relig.md
+[nota]: data/nota/nota.md
+[health_hovedstaden]: data/health_hovedstaden/health_hovedstaden.md
+[domsdatabasen]: data/domsdatabasen/domsdatabasen.md
+<!-- END-DOMAIN TABLE -->
+
+</div>
+
+<div style="flex: 1;">
+
+<p align="center">
+<img src="./images/domain_distribution.png" width="400" style="margin-right: 10px;" />
+</p>
+
+</div>
+
+</div>
+
+
+### Licensing
+
+The following gives an overview of the licensing in the Dynaword. To get the exact license of the individual datasets check out the [overview table](#source-data).
+These license is applied to the constituent data, i.e., the text. The collection of datasets (metadata, quality control, etc.) is licensed under [CC-0](https://creativecommons.org/publicdomain/zero/1.0/legalcode.en).
+
+<!-- START-LICENSE TABLE -->
+| License                         | Sources                                                                                                                                                                                                                                                           | N. Tokens   |
+|:--------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------|
+| CC-0                            | [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] | 1.99B       |
+| CC-BY-SA 4.0                    | [cellar], [eur-lex-sum-da], [fm-udgivelser], [memo], [tv2r], [jvj], [depbank]                                                                                                                                                                                     | 1.37B       |
+| Other (No attribution required) | [retsinformationdk], [domsdatabasen]                                                                                                                                                                                                                              | 904.61M     |
+| Other (Attribution required)    | [ai-aktindsigt], [ncc_maalfrid], [ncc_parliament], [dannet], [gutenberg]                                                                                                                                                                                          | 515.61M     |
+| **Total**                       |                                                                                                                                                                                                                                                                   | 4.78B       |
+
+[ai-aktindsigt]: data/ai-aktindsigt/ai-aktindsigt.md
+[cellar]: data/cellar/cellar.md
+[danske-taler]: data/danske-taler/danske-taler.md
+[ncc_books]: data/ncc_books/ncc_books.md
+[ncc_newspaper]: data/ncc_newspaper/ncc_newspaper.md
+[ncc_maalfrid]: data/ncc_maalfrid/ncc_maalfrid.md
+[ncc_parliament]: data/ncc_parliament/ncc_parliament.md
+[eur-lex-sum-da]: data/eur-lex-sum-da/eur-lex-sum-da.md
+[miljoeportalen]: data/miljoeportalen/miljoeportalen.md
+[fm-udgivelser]: data/fm-udgivelser/fm-udgivelser.md
+[memo]: data/memo/memo.md
+[opensubtitles]: data/opensubtitles/opensubtitles.md
+[retsinformationdk]: data/retsinformationdk/retsinformationdk.md
+[ep]: data/ep/ep.md
+[ft]: data/ft/ft.md
+[wikisource]: data/wikisource/wikisource.md
+[spont]: data/spont/spont.md
+[tv2r]: data/tv2r/tv2r.md
+[adl]: data/adl/adl.md
+[hest]: data/hest/hest.md
+[skat]: data/skat/skat.md
+[dannet]: data/dannet/dannet.md
+[retspraksis]: data/retspraksis/retspraksis.md
+[wikibooks]: data/wikibooks/wikibooks.md
+[jvj]: data/jvj/jvj.md
+[gutenberg]: data/gutenberg/gutenberg.md
+[botxt]: data/botxt/botxt.md
+[depbank]: data/depbank/depbank.md
+[naat]: data/naat/naat.md
+[synne]: data/synne/synne.md
+[wiki]: data/wiki/wiki.md
+[nordjyllandnews]: data/nordjyllandnews/nordjyllandnews.md
+[relig]: data/relig/relig.md
+[nota]: data/nota/nota.md
+[health_hovedstaden]: data/health_hovedstaden/health_hovedstaden.md
+[domsdatabasen]: data/domsdatabasen/domsdatabasen.md
+<!-- END-LICENSE TABLE -->
+
+
+
 ## Dataset Structure
 
 The dataset contains text from different sources which are thoroughly defined in [Source Data](#source-data).
@@ -320,7 +453,13 @@ This data generally contains no annotation besides the metadata attached to each
 
 ### Source Data
 
-Below follows a brief overview of the sources in the corpus along with their individual license.
+
+Below follows a brief overview of the sources in the corpus along with their individual license. To get more information about the individual dataset click the hyperlink in the table.
+
+<details>
+<summary><b>Overview Table (click to unfold)</b></summary>
+
+You can learn more about each dataset by pressing the link in the first column.
 
 <!-- START-MAIN TABLE -->
 | Source               | Description                                                                                                                                                                            | Domain       | N. Tokens   | License                |
@@ -412,8 +551,7 @@ Below follows a brief overview of the sources in the corpus along with their ind
 [Danish Copyright Law]: ./data/domsdatabasen/domsdatabasen.md#license-information
 <!-- END-MAIN TABLE -->
 
-
-You can learn more about each dataset by pressing the link in the first column.
+</details>
 
 
 ### Data Collection and Processing
@@ -431,11 +569,7 @@ In addition to data specific processing we also run a series automated quality c
 
 
 ### Dataset Statistics
-The following plot show the domains distribution of the following within the dynaword:
-
-<p align="center">
-<img src="./images/domain_distribution.png" width="400" style="margin-right: 10px;" />
-</p>
+The following plot pr. dataset histograms displaying document lengths.
 
 <details>
 <summary>Per dataset histograms</summary>
@@ -456,7 +590,7 @@ We welcome contributions to the dataset such as new sources, better data filteri
 
 ## Citation Information
 
-We are currently working on a paper on Danish Dynaword, however if you do you Danish Dynaword we recommend citiing the following:
+We are currently working on a paper on Danish Dynaword, however if you do use Danish Dynaword we recommend citing the following:
 > Enevoldsen, K., Jensen, K. N., Kostkan, J., Szabó, B., Vahlstrup, P., Dalum, P. M., Elliot, D., & Nielbo, K. (2023). Dynaword: From One-shot to Continuously Developed Datasets. Hugging Face. https://huggingface.co/datasets/danish-foundation-models/danish-dynaword
 
 

descriptive_stats.json

@@ -2,5 +2,5 @@
   "number_of_samples": 960357,
   "average_document_length": 15301.724414983179,
   "number_of_tokens": 4784823570,
-  "revision": "02c4bb425478c6b3a421a5d30286ab0e4235a696"
+  "revision": "3d87e24d35c186fbb994478238e7ccba03a4d8a2"
 }

images/tokens_over_time.html

@@ -2,6 +2,6 @@
 <head><meta charset="utf-8" /></head>
 <body>
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pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "dynaword"
-version = "1.2.5"
+version = "1.2.6"
 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/tables.py

@@ -1,4 +1,5 @@
 from pathlib import Path
+from typing import Literal
 
 import pandas as pd
 
@@ -53,7 +54,7 @@ def create_overview_table(
 ) -> pd.DataFrame:
     table = {
         "Source": [],
-        "Source with link": [],
+        "Sources": [],
         "Description": [],
         "Domain": [],
         "N. Tokens": [],
@@ -69,7 +70,7 @@ def create_overview_table(
         main_domain = sheet.domains[0] if sheet.domains else ""
 
         table["Source"] += [f"{dataset_path.name}"]
-        table["Source with link"] += [f"[{dataset_path.name}]"]
+        table["Sources"] += [f"[{dataset_path.name}]"]
         table["License"] += [f"[{sheet.license_name}]"]
         table["Domain"] += [main_domain]
         table["Description"] += [sheet.short_description]
@@ -81,7 +82,7 @@ def create_overview_table(
     if add_total_row:
         total_row = {
             "Source": "**Total**",
-            "Source with link": "**Total**",
+            "Sources": "**Total**",
             "Domain": "",
             "License": "",
             "Description": "",
@@ -95,12 +96,12 @@ def create_overview_table(
             ignore_index=True,
         )
     if add_readme_references:
-        # replace Source with Source with link
-        df["Source"] = df["Source with link"]
-        df = df.drop(columns=["Source with link"])
+        # replace Source with Sources
+        df["Source"] = df["Sources"]
+        df = df.drop(columns=["Sources"])
     else:
-        # remove Source with link
-        df = df.drop(columns=["Source with link"])
+        # remove Sources
+        df = df.drop(columns=["Sources"])
 
     if add_readable_tokens:
         df["N. Tokens"] = df["N. Tokens"].apply(human_readable_large_int)
@@ -108,6 +109,100 @@ def create_overview_table(
     return df
 
 
+def _get_normalized_license(ds: DataSheet) -> str:
+    non_standard_license_names = {
+        "Apache 2.0": "Other (Attribution required)",
+        "NLOD 2.0": "Other (Attribution required)",
+        "DanNet 1.0": "Other (Attribution required)",
+        "Gutenberg": "Other (Attribution required)",
+        "Danish Copyright Law": "Other (No attribution required)",
+    }
+    if (
+        ds.license_name not in non_standard_license_names
+        and ds.license_name is not None
+    ):
+        return ds.license_name
+    if ds.license_name is None:
+        raise ValueError(
+            f"Datasheet {ds.pretty_name} has no license name specified in the frontmatter."
+        )
+    return non_standard_license_names[ds.license_name]
+
+
+def _get_feature_by_string(
+    datasheet: DataSheet, feature_name: Literal["Domain", "Language", "License"]
+) -> str:
+    """Get a specific feature from the frontmatter."""
+
+    match feature_name:
+        case "Domain":
+            return datasheet.domains[0] if datasheet.domains else "N/A"
+        case "Language":
+            return ", ".join(datasheet.language)
+        case "License":
+            return _get_normalized_license(datasheet)
+        case _:
+            raise ValueError(f"Unknown feature: {feature_name}")
+
+
+def create_grouped_table(
+    group: Literal["Domain", "Language", "License"] = "Domain",
+    repo_path: Path = repo_path,
+    add_readable_tokens: bool = True,
+    add_total_row: bool = True,
+) -> pd.DataFrame:
+    table = {
+        "Sources": [],
+        group: [],
+        "N. Tokens": [],
+    }
+
+    for dataset in _datasets:
+        dataset_path = repo_path / "data" / dataset
+        readme_path = dataset_path / f"{dataset_path.name}.md"
+
+        sheet = DataSheet.load_from_path(readme_path)
+        desc_stats = sheet.get_descritive_stats()
+        feature = _get_feature_by_string(sheet, group)
+
+        table["Sources"] += [f"[{dataset_path.name}]"]
+        table[group] += [feature]
+        table["N. Tokens"] += [desc_stats.number_of_tokens]
+
+    if add_total_row:
+        table["Sources"] += [""]
+        table[group] += ["**Total**"]
+        table["N. Tokens"] += [sum(table["N. Tokens"])]
+
+    df = pd.DataFrame.from_dict(table)
+
+    df = df.groupby(group).agg({"Sources": lambda x: ", ".join(x), "N. Tokens": "sum"})
+
+    df = df.sort_values("N. Tokens", ascending=False)
+
+    df.index.name = group
+    df = df.reset_index()
+
+    # Trick the Total row to be at the bottom.
+    new_index = list(df.index.drop(0)) + [0]
+    df = df.reindex(new_index)
+
+    if add_readable_tokens:
+        df["N. Tokens"] = df["N. Tokens"].apply(human_readable_large_int)
+
+    return df
+
+
+def create_grouped_table_str(
+    repo_path: Path = repo_path,
+    group: Literal["Domain", "Language", "License"] = "Domain",
+) -> str:
+    table = create_grouped_table(group=group, repo_path=repo_path)
+    readme_references = create_dataset_readme_references()
+    package = f"{table.to_markdown(index=False, maxcolwidths=[None, None, None])}\n\n{readme_references}\n\n"
+    return package
+
+
 def create_overview_table_str(repo_path: Path = repo_path) -> str:
     main_table = create_overview_table(repo_path)
     readme_references = create_dataset_readme_references()

src/dynaword/update_descriptive_statistics.py

@@ -24,7 +24,11 @@ from dynaword.git_utilities import (
 )
 from dynaword.paths import repo_path
 from dynaword.plot_tokens_over_time import create_tokens_over_time_plot
-from dynaword.tables import create_overview_table, create_overview_table_str
+from dynaword.tables import (
+    create_grouped_table_str,
+    create_overview_table,
+    create_overview_table_str,
+)
 
 logger = logging.getLogger(__name__)
 
@@ -104,8 +108,14 @@ def update_dataset(
 
     if dataset_name == "default":
         logger.info("Updating Overview table")
-        package = create_overview_table_str()
-        sheet.body = sheet.replace_tag(package=package, tag="MAIN TABLE")
+        overview_table = create_overview_table_str()
+        sheet.body = sheet.replace_tag(package=overview_table, tag="MAIN TABLE")
+        logger.info("Updating domain table")
+        domain_table = create_grouped_table_str(group="Domain")
+        sheet.body = sheet.replace_tag(package=domain_table, tag="DOMAIN TABLE")
+        logger.info("Updating license table")
+        domain_table = create_grouped_table_str(group="License")
+        sheet.body = sheet.replace_tag(package=domain_table, tag="LICENSE TABLE")
         create_domain_distribution_plot()
         create_tokens_over_time_plot()
 

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/kristianjensen/Documents/danish-dynaword
+rootdir: /Users/au561649/Github/danish-dynaword
 configfile: pyproject.toml
 plugins: anyio-4.9.0
 collected 328 items
@@ -19,7 +19,7 @@ src/tests/test_unique_ids.py .                                           [100%]
 
 =============================== warnings summary ===============================
 src/tests/test_quality/test_short_texts.py: 36 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.
+  /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.
 
 -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
-================= 327 passed, 1 skipped, 36 warnings in 52.74s =================
+================= 327 passed, 1 skipped, 36 warnings in 53.74s =================