Added opensubtitles

README.md

@@ -5,6 +5,10 @@ configs:
   data_files:
   - split: train
     path: 'data/*/*.parquet'
+- config_name: opensubtitles
+  data_files:
+  - split: train
+    path: data/opensubtitles/*.parquet
 - config_name: retsinformationdk
   data_files:
   - split: train
@@ -265,36 +269,39 @@ Below follows a brief overview of the sources in the corpus along with their ind
 
 
 
+
 <!-- START-MAIN TABLE -->
-| Source              | Description                                                                                                                  | N. Tokens | License                |
-| :------------------ | :--------------------------------------------------------------------------------------------------------------------------- | :-------- | :--------------------- |
-| [retsinformationdk] | [retsinformation.dk](https://www.retsinformation.dk) (legal-information.dk) the official legal information system of Denmark | 516.54M   | [Danish Copyright Law] |
-| [hest]              | Samples from the Danish debate forum www.heste-nettet.dk                                                                     | 389.33M   | [CC-0]                 |
-| [spont]             | Conversational samples collected as a part of research projects at Aarhus University                                         | 1.56M     | [CC-0]                 |
-| [tv2r]              | Contemporary Danish newswire articles published between 2010 and 2019                                                        | 21.67M    | [CC-BY-SA 4.0]         |
-| [ep]                | The Danish subsection of [Europarl](https://aclanthology.org/2005.mtsummit-papers.11/)                                       | 100.89M   | [CC-0]                 |
-| [gutenberg]         | The Danish subsection from Project [Gutenberg](https://www.gutenberg.org)                                                    | 6.76M     | [Gutenberg License]    |
-| [depbank]           | The Danish subsection of the [Universal Dependencies Treebank](https://github.com/UniversalDependencies/UD_Danish-DDT)       | 185.45K   | [CC-BY-SA 4.0]         |
-| [jvj]               | The works of the Danish author and poet, [Johannes V. Jensen](https://da.wikipedia.org/wiki/Johannes_V._Jensen)              | 3.55M     | [CC-BY-SA 4.0]         |
-| [wikisource]        | The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page)                                              | 5.34M     | [CC-0]                 |
-| [wiki]              | The Danish subsection of [wikipeadia](https://en.wikipedia.org/wiki/Main_Page)                                               | 122.00M   | [CC-0]                 |
-| [wikibooks]         | The Danish Subsection of [Wikibooks](https://www.wikibooks.org)                                                              | 6.24M     | [CC-0]                 |
-| [nordjyllandnews]   | Articles from the Danish Newspaper [TV2 Nord](https://www.tv2nord.dk)                                                        | 37.91M    | [CC-0]                 |
-| [adl]               | Danish literature from 1700-2023 from the Archive for Danish Literature (ADL)                                                | 58.49M    | [CC-0]                 |
-| [retspraksis]       | Case law or judical practice in Denmark derived from [Retspraksis](https://da.wikipedia.org/wiki/Retspraksis)                | 57.08M    | [CC-0]                 |
-| [relig]             | Danish religious text from the 1700-2022                                                                                     | 1.24M     | [CC-0]                 |
-| [dannet]            | [DanNet](https://cst.ku.dk/projekter/dannet) is a Danish WordNet                                                             | 1.52M     | [DanNet 1.0 License]   |
-| [synne]             | Dataset collected from [synnejysk forening's website](https://www.synnejysk.dk), covering the Danish dialect sønderjysk      | 52.51K    | [CC-0]                 |
-| [naat]              | A dataset of Danish speeches from 1930-2022                                                                                  | 286.68K   | [CC-0]                 |
-| [botxt]             | The Bornholmsk Ordbog Dictionary Projec                                                                                      | 847.97K   | [CC-0]                 |
-| [ft]                | This dataset consists of records from all meetings of The Danish parliament (Folketinget) in the parliament hall             | 114.09M   | [CC-0]                 |
-| [skat]              | Skat is the Danish tax authority. This dataset contains content from its website skat.dk                                     | 122.12M   | [CC-0]                 |
-| **Total**           |                                                                                                                              | 1.57B     |                        |
+| Source              | Description                                                                                                                  | N. Tokens   | License                |
+|:--------------------|:-----------------------------------------------------------------------------------------------------------------------------|:------------|:-----------------------|
+| [retsinformationdk] | [retsinformation.dk](https://www.retsinformation.dk) (legal-information.dk) the official legal information system of Denmark | 516.54M     | [Danish Copyright Law] |
+| [hest]              | Samples from the Danish debate forum www.heste-nettet.dk                                                                     | 389.33M     | [CC-0]                 |
+| [spont]             | Conversational samples collected as a part of research projects at Aarhus University                                         | 1.56M       | [CC-0]                 |
+| [tv2r]              | Contemporary Danish newswire articles published between 2010 and 2019                                                        | 21.67M      | [CC-BY-SA 4.0]         |
+| [opensubtitles]     | Danish subsection of [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles)                        | 271.89M     | [CC-0]                 |
+| [ep]                | The Danish subsection of [Europarl](https://aclanthology.org/2005.mtsummit-papers.11/)                                       | 100.89M     | [CC-0]                 |
+| [gutenberg]         | The Danish subsection from Project [Gutenberg](https://www.gutenberg.org)                                                    | 6.76M       | [Gutenberg License]    |
+| [depbank]           | The Danish subsection of the [Universal Dependencies Treebank](https://github.com/UniversalDependencies/UD_Danish-DDT)       | 185.45K     | [CC-BY-SA 4.0]         |
+| [jvj]               | The works of the Danish author and poet, [Johannes V. Jensen](https://da.wikipedia.org/wiki/Johannes_V._Jensen)              | 3.55M       | [CC-BY-SA 4.0]         |
+| [wikisource]        | The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page)                                              | 5.34M       | [CC-0]                 |
+| [wiki]              | The Danish subsection of [wikipeadia](https://en.wikipedia.org/wiki/Main_Page)                                               | 122.00M     | [CC-0]                 |
+| [wikibooks]         | The Danish Subsection of [Wikibooks](https://www.wikibooks.org)                                                              | 6.24M       | [CC-0]                 |
+| [nordjyllandnews]   | Articles from the Danish Newspaper [TV2 Nord](https://www.tv2nord.dk)                                                        | 37.91M      | [CC-0]                 |
+| [adl]               | Danish literature from 1700-2023 from the Archive for Danish Literature (ADL)                                                | 58.49M      | [CC-0]                 |
+| [retspraksis]       | Case law or judical practice in Denmark derived from [Retspraksis](https://da.wikipedia.org/wiki/Retspraksis)                | 57.08M      | [CC-0]                 |
+| [relig]             | Danish religious text from the 1700-2022                                                                                     | 1.24M       | [CC-0]                 |
+| [dannet]            | [DanNet](https://cst.ku.dk/projekter/dannet) is a Danish WordNet                                                             | 1.52M       | [DanNet 1.0 License]   |
+| [synne]             | Dataset collected from [synnejysk forening's website](https://www.synnejysk.dk), covering the Danish dialect sønderjysk      | 52.51K      | [CC-0]                 |
+| [naat]              | Danish speeches from 1930-2022                                                                                               | 286.68K     | [CC-0]                 |
+| [botxt]             | The Bornholmsk Ordbog Dictionary Projec                                                                                      | 847.97K     | [CC-0]                 |
+| [ft]                | Records from all meetings of The Danish parliament (Folketinget) in the parliament hall                                      | 114.09M     | [CC-0]                 |
+| [skat]              | Skat is the Danish tax authority. This dataset contains content from its website skat.dk                                     | 122.12M     | [CC-0]                 |
+| **Total**           |                                                                                                                              | 1.84B       |                        |
 
 [retsinformationdk]: data/retsinformationdk/retsinformationdk.md
 [hest]: data/hest/hest.md
 [spont]: data/spont/spont.md
 [tv2r]: data/tv2r/tv2r.md
+[opensubtitles]: data/opensubtitles/opensubtitles.md
 [ep]: data/ep/ep.md
 [gutenberg]: data/gutenberg/gutenberg.md
 [depbank]: data/depbank/depbank.md
@@ -321,6 +328,7 @@ Below follows a brief overview of the sources in the corpus along with their ind
 [DanNet 1.0 License]: ./data/dannet/dannet.md#license-information
 <!-- END-MAIN TABLE -->
 
+
 You can learn more about each dataset by pressing 
 
 <!-- ### Quality Control

data/adl/adl.md

@@ -34,7 +34,7 @@ Danish literature from 1700-2023 from the Archive for Danish Literature (ADL).
 <!-- END-DESC-STATS -->
 
 
-## Dataset Sturcture
+## Dataset Structure
 An example from the dataset looks as follows.
 
 <!-- START-SAMPLE -->

data/botxt/botxt.md

@@ -35,7 +35,7 @@ Fictional texts of various kinds written in Bornholmsk, the dialect spoken on th
 <!-- END-DESC-STATS -->
 
 
-## Dataset Sturcture
+## Dataset Structure
 An example from the dataset looks as follows.
 
 <!-- START-SAMPLE -->

data/dannet/dannet.md

@@ -37,7 +37,7 @@ A WordNet is a lexico-semantic network which show the meaning and the relation b
 <!-- END-DESC-STATS -->
 
 
-## Dataset Sturcture
+## Dataset Structure
 An example from the dataset looks as follows.
 
 <!-- START-SAMPLE -->

data/depbank/depbank.md

@@ -38,7 +38,7 @@ While the dataset was initially intended as a rich annotation, this corpora only
 <!-- END-DESC-STATS -->
 
 
-## Dataset Sturcture
+## Dataset Structure
 An example from the dataset looks as follows.
 
 <!-- START-SAMPLE -->

data/ep/ep.md

@@ -37,7 +37,7 @@ The europarl is a corpus of parallel text in 11 languages from the proceedings o
 <!-- END-DESC-STATS -->
 
 
-## Dataset Sturcture
+## Dataset Structure
 An example from the dataset looks as follows.
 
 <!-- START-SAMPLE -->

data/ft/ft.md

@@ -20,7 +20,7 @@ source_datasets:
 ## Dataset Description
 
 <!-- START-SHORT DESCRIPTION -->
-This dataset consists of records from all meetings of The Danish parliament (Folketinget) in the parliament hall. 
+Records from all meetings of The Danish parliament (Folketinget) in the parliament hall. 
 <!-- END-SHORT DESCRIPTION -->
 
 
@@ -38,7 +38,7 @@ In the parliament hall, one speaker at a time addresses members of the parliamen
 <!-- END-DESC-STATS -->
 
 
-## Dataset Sturcture
+## Dataset Structure
 An example from the dataset looks as follows.
 
 <!-- START-SAMPLE -->

data/gutenberg/gutenberg.md

@@ -36,7 +36,7 @@ Project Gutenberg is an online library of free eBooks. Project Gutenberg was the
 <!-- END-DESC-STATS -->
 
 
-## Dataset Sturcture
+## Dataset Structure
 An example from the dataset looks as follows.
 
 <!-- START-SAMPLE -->

data/hest/hest.md

@@ -38,7 +38,7 @@ Its inclusion as training data for large language models have multiple times rea
 <!-- END-DESC-STATS -->
 
 
-## Dataset Sturcture
+## Dataset Structure
 An example from the dataset looks as follows.
 
 <!-- START-SAMPLE -->

data/jvj/jvj.md

@@ -38,7 +38,7 @@ The works of the Danish author and poet, [Johannes V. Jensen](https://da.wikiped
 <!-- END-DESC-STATS -->
 
 
-## Dataset Sturcture
+## Dataset Structure
 An example from the dataset looks as follows.
 
 <!-- START-SAMPLE -->

data/naat/naat.md

@@ -18,7 +18,7 @@ source_datasets:
 # Dataset Card for NAAT
 
 <!-- START-SHORT DESCRIPTION -->
-A dataset of Danish speeches from 1930-2022.
+Danish speeches from 1930-2022.
 <!-- END-SHORT DESCRIPTION -->
 
 
@@ -34,7 +34,7 @@ A dataset of Danish speeches from 1930-2022.
 <!-- END-DESC-STATS -->
 
 
-## Dataset Sturcture
+## Dataset Structure
 An example from the dataset looks as follows.
 
 <!-- START-SAMPLE -->

data/nordjyllandnews/nordjyllandnews.md

@@ -35,7 +35,7 @@ The data is derived from the Huggingface dataset [alexandrainst/nordjylland-news
 
 <!-- END-DESC-STATS -->
 
-## Dataset Sturcture
+## Dataset Structure
 An example from the dataset looks as follows.
 
 <!-- START-SAMPLE -->

data/opensubtitles/create.py

@@ -0,0 +1,123 @@
+from pathlib import Path
+from typing import cast
+
+import pandas as pd
+import spacy
+from datasets import Dataset, load_dataset
+
+# KCE: mail from Leon
+sample_to_redact = {
+    # Der kommer en dag
+    "opensub_6726481",
+    "opensub_6732371",
+    # Kollektivet
+    "opensub_6645818",
+    # Flaskepost fra P
+    "opensub_6666922",
+    "opensub_6720216",
+    "opensub_6958711",
+    # Fasandræberne
+    "opensub_6036947",
+    "opensub_6008622",
+    # En du elsker
+    "opensub_5828376",
+    "opensub_5828378",
+    # En chance til
+    "opensub_6177523",
+    # Lev stærkt
+    "opensub_6467655",
+    # Nymphomaniac
+    "opensub_5604391",
+    "opensub_5748340",
+    "opensub_5748494",
+    "opensub_5629516",
+    # Kvinden i buret
+    "opensub_5636248",
+    "opensub_5514603",
+    "opensub_5504932",
+    # Den skaldede frisør
+    "opensub_5084880",
+    "opensub_5031826",
+    # Jagten
+    "opensub_6929419",
+    "opensub_4885548",
+    # Melancholia
+    "opensub_4421330",
+    "opensub_4406991",
+    "opensub_4418817",
+    # Ambassadøren
+    "opensub_4557721",
+    # Antichrist
+    "opensub_5511502",
+    "opensub_3938655",
+    "opensub_3636940",
+    "opensub_3564521",
+    "opensub_3562215",
+    # En kongelig affære
+    "opensub_4725493",
+    "opensub_4725160",
+    "opensub_4725159",
+    "opensub_4916871",
+    "opensub_5186746",
+    # Brødre
+    "opensub_233943",
+    "opensub_87475",
+}
+
+column_order = [
+    "text",
+    "source",
+    "id",
+    "added",
+    "created",
+    "license",
+    "domain",
+    "metadata",
+]
+
+
+def convert_sample(example):
+    text = example["text"]
+    if example["doc_id"] in sample_to_redact:
+        nlp = spacy.blank("da")
+        doc = nlp(text)
+        text = doc[:200].text  # first 200 words
+
+    new_example = dict(
+        text_new=example["text"],
+        id=example["doc_id"],
+        source="opensubtitles",
+        domain="Conversation",
+        license="Creative Commons Legal Code\n\nCC0 1.0 Universal",
+        added="2025-01-02",
+        created="1920-01-01, 2018-01-01",  # assuming v2018
+        metadata={"source-pretty": "OpenSubtitles"},
+    )
+
+    return new_example
+
+
+def main():
+    ds = load_dataset("DDSC/partial-danish-gigaword-no-twitter", split="train")
+    ds = cast(Dataset, ds)
+    ds = ds.filter(lambda x: x["source"] == "opensub", num_proc=4)
+    ds = ds.map(convert_sample, num_proc=4)
+    ds = ds.select_columns(column_order[1:] + ["text_new"])
+    ds = ds.rename_columns({"text_new": "text"})
+    # ensure order
+    ds = ds.select_columns(column_order)
+
+    df = ds.to_pandas()
+    df = cast(pd.DataFrame, df)
+    dedup_df = df.drop_duplicates(keep="first", subset=["text"])
+    print("N. duplicates: ", df.shape[0] - dedup_df.shape[0])  # 2422
+
+    ds = ds.select(dedup_df.index)
+    assert len(set(ds["text"])) == len(ds)
+
+    save_path = Path(__file__).parent / "opensubtitles.parquet"
+    ds.to_parquet(save_path)
+
+
+if __name__ == "__main__":
+    main()

data/opensubtitles/descriptive_stats.json

@@ -0,0 +1 @@
+{"number_of_samples": 29820, "average_document_length": 26326.385915492956, "number_of_tokens": 271893009, "language": "dan, dansk, Danish", "revision": "ca7fb7b62951c15a2d67bdfcc910af2d8ff058c8"}

data/opensubtitles/opensubtitles.md

@@ -0,0 +1,124 @@
+---
+pretty_name: OpenSubtitles
+language:
+  - da
+license: cc0-1.0
+license_name: CC-0
+task_categories:
+  - text-generation
+  - fill-mask
+task_ids:
+  - language-modeling
+source_datasets:
+  - DDSC/partial-danish-gigaword-no-twitter
+---
+
+# Dataset Card for OpenSubtitles
+
+<!-- START-SHORT DESCRIPTION -->
+Danish subsection of [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles).
+<!-- END-SHORT DESCRIPTION -->
+
+
+## Dataset Description
+
+
+<!-- START-DESC-STATS -->
+- **Language**: dan, dansk, Danish
+- **Number of samples**: 29.82K
+- **Number of tokens (Llama 3)**: 271.89M
+- **Average document length (characters)**: 26326.39
+<!-- END-DESC-STATS -->
+
+
+
+## Dataset Structure
+An example from the dataset looks as follows.
+
+<!-- START-SAMPLE -->
+<!-- END-SAMPLE -->
+
+### Additional Processing
+
+Due to copyright concern additional documents have been removed due to copyright concerns. These include:
+
+```py
+{
+    # Der kommer en dag
+    "opensub_6726481",
+    "opensub_6732371",
+    # Kollektivet
+    "opensub_6645818",
+    # Flaskepost fra P
+    "opensub_6666922",
+    "opensub_6720216",
+    "opensub_6958711",
+    # Fasandræberne
+    "opensub_6036947",
+    "opensub_6008622",
+    # En du elsker
+    "opensub_5828376",
+    "opensub_5828378",
+    # En chance til
+    "opensub_6177523",
+    # Lev stærkt
+    "opensub_6467655",
+    # Nymphomaniac
+    "opensub_5604391",
+    "opensub_5748340",
+    "opensub_5748494",
+    "opensub_5629516",
+    # Kvinden i buret
+    "opensub_5636248",
+    "opensub_5514603",
+    "opensub_5504932",
+    # Den skaldede frisør
+    "opensub_5084880",
+    "opensub_5031826",
+    # Jagten
+    "opensub_6929419",
+    "opensub_4885548",
+    # Melancholia
+    "opensub_4421330",
+    "opensub_4406991",
+    "opensub_4418817",
+    # Ambassadøren
+    "opensub_4557721",
+    # Antichrist
+    "opensub_5511502",
+    "opensub_3938655",
+    "opensub_3636940",
+    "opensub_3564521",
+    "opensub_3562215",
+    # En kongelig affære
+    "opensub_4725493",
+    "opensub_4725160",
+    "opensub_4725159",
+    "opensub_4916871",
+    "opensub_5186746",
+    # Brødre
+    "opensub_233943",
+    "opensub_87475",
+}
+```
+
+We have additionally removed duplicate entries from the original dataset.
+
+## Additional Information
+
+
+### Citation Information
+
+This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset:
+
+> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021).
+
+```bash
+@inproceedings{dagw,
+ title = {{The Danish Gigaword Corpus}},
+ author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab},
+ year = 2021,
+ booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics},
+ publisher = {NEALT}
+}
+```

data/opensubtitles/opensubtitles.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8fbb41ace407b6e87fc1faf11e304493d24b9474c00f6230daf4406d4c818e6f
+size 496784101

data/relig/relig.md

@@ -34,7 +34,7 @@ Danish religious text from the 1700-2022.
 <!-- END-DESC-STATS -->
 
 
-## Dataset Sturcture
+## Dataset Structure
 An example from the dataset looks as follows.
 
 <!-- START-SAMPLE -->

data/retsinformationdk/retsinformationdk.md

@@ -42,7 +42,7 @@ It serves as a central repository for Danish legislation, administrative regulat
 
 <!-- END-DESC-STATS -->
 
-## Dataset Sturcture
+## Dataset Structure
 An example from the dataset looks as follows.
 
 <!-- START-SAMPLE -->

data/retspraksis/retspraksis.md

@@ -36,7 +36,7 @@ It encompasses the body of legal decisions made by Danish courts, which play a s
 <!-- END-DESC-STATS -->
 
 
-## Dataset Sturcture
+## Dataset Structure
 An example from the dataset looks as follows.
 
 <!-- START-SAMPLE -->

data/skat/skat.md

@@ -33,7 +33,7 @@ Skat is the Danish tax authority. This dataset contains content from its website
 <!-- END-DESC-STATS -->
 
 
-## Dataset Sturcture
+## Dataset Structure
 An example from the dataset looks as follows.
 
 <!-- START-SAMPLE -->

data/spont/spont.md

@@ -35,7 +35,7 @@ The conversational corpus included originates from interdisciplinary research co
 <!-- END-DESC-STATS -->
 
 
-## Dataset Sturcture
+## Dataset Structure
 An example from the dataset looks as follows.
 
 <!-- START-SAMPLE -->

data/synne/synne.md

@@ -33,7 +33,7 @@ Dataset collected from [synnejysk forening's website](https://www.synnejysk.dk),
 <!-- END-DESC-STATS -->
 
 
-## Dataset Sturcture
+## Dataset Structure
 An example from the dataset looks as follows.
 
 <!-- START-SAMPLE -->

data/tv2r/tv2r.md

@@ -35,7 +35,7 @@ It contains articles of regional interest, written following editorial standards
 <!-- END-DESC-STATS -->
 
 
-## Dataset Sturcture
+## Dataset Structure
 An example from the dataset looks as follows.
 
 <!-- START-SAMPLE -->

data/wiki/wiki.md

@@ -35,7 +35,7 @@ You can read more about wikipeadia on their [about](https://en.wikipedia.org/wik
 <!-- END-DESC-STATS -->
 
 
-## Dataset Sturcture
+## Dataset Structure
 An example from the dataset looks as follows.
 
 <!-- START-SAMPLE -->

data/wikibooks/wikibooks.md

@@ -34,7 +34,7 @@ The Danish Subsection of [Wikibooks](https://www.wikibooks.org).
 <!-- END-DESC-STATS -->
 
 
-## Dataset Sturcture
+## Dataset Structure
 An example from the dataset looks as follows.
 
 <!-- START-SAMPLE -->

data/wikisource/wikisource.md

@@ -33,7 +33,7 @@ The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page).
 <!-- END-DESC-STATS -->
 
 
-## Dataset Sturcture
+## Dataset Structure
 An example from the dataset looks as follows.
 
 <!-- START-SAMPLE -->

pyproject.toml

@@ -3,19 +3,22 @@ name = "danish-dynaword"
 version = "1.0.4"
 description = "project code for the danish dynaword project"
 readme = "README.md"
-requires-python = ">=3.12"
+requires-python = ">=3.12,<3.13"
 dependencies = [
-    "datasets>=3.0.0",
-    "gitpython>=3.1.43",
-    "ipykernel>=6.29.5",
-    "matplotlib>=3.10.0",
+    # for commands
+    "datasets>=3.0.0",      # loading and validating datasets
+    "gitpython>=3.1.43",    # interacting with git
     "numpy>=2.2.0",
-    "plotnine>=0.14.3",
-    "pydantic>=2.10.4",
+    "pydantic>=2.10.4",     # validating schemas
+    "tabulate>=0.9.0",      # creating md table
+    "tomlkit>=0.13.2",      # reading toml
+    "transformers>=4.47.1", # tokenization
+    # create.py
+    "spacy>=3.8.3", # only need for opensubtitles/create.py
+    # development
+    "ipykernel>=6.29.5",
+    # test
     "pytest>=8.3.4",
+    # formatting
     "ruff>=0.8.3",
-    "seaborn>=0.13.2",
-    "tabulate>=0.9.0",
-    "tomlkit>=0.13.2",
-    "transformers>=4.47.1",
 ]

src/git_utilities.py

@@ -11,16 +11,21 @@ def get_current_revision(repo_path: Path = repo_path) -> str:
     return commit_id
 
 
-def get_latest_revision(path: Path, repo_path=repo_path) -> str:
+def get_latest_revision(path: Path, repo_path=repo_path) -> str | None:
     repo = Repo(repo_path)
 
     if not path.exists():
         raise ValueError("path does not exist.")
 
-    last_commit_for_file = next(repo.iter_commits(paths=path, max_count=1))
-    return last_commit_for_file.hexsha
+    try:
+        last_commit_for_file = next(repo.iter_commits(paths=path, max_count=1))
+        return last_commit_for_file.hexsha
+    except StopIteration:
+        return None
 
 
-def check_is_ancestor(ancestor_rev: str, rev: str, repo_path=repo_path) -> bool:
+def check_is_ancestor(ancestor_rev: str, rev: str | None, repo_path=repo_path) -> bool:
+    if rev is None:  # e.g. when cases are not submitted yet
+        return False
     repo = Repo(repo_path)
     return repo.is_ancestor(repo.commit(ancestor_rev), repo.commit(rev))

src/tests/test_load.py

@@ -10,6 +10,7 @@ def test_dataset_loads(repo_path: Path):
     sample = next(iter(ds))
     assert isinstance(sample, dict)
 
+
 # TODO
 # def test_all_datasets_in_yaml(repo_path: Path, readme_yaml_header: dict[str, Any]):
 #     configs = readme_yaml_header["configs"]

src/update_descriptive_statistics.py

@@ -211,7 +211,9 @@ def create_main_table(repo_path: Path = repo_path) -> pd.DataFrame:
             dataset / "descriptive_stats.json"
         )
 
-        short_description = get_tag_content(body, tag="SHORT DESCRIPTION").strip()[:-1] # to exclude "."
+        short_description = get_tag_content(body, tag="SHORT DESCRIPTION").strip()[
+            :-1
+        ]  # to exclude "."
         license, license_name = frontmatter["license"], frontmatter["license_name"]
 
         table["Source"] += [f"[{dataset.name}]"]