Datasets:
Tasks:
Text Generation
Formats:
parquet
Sub-tasks:
language-modeling
Languages:
Danish
Size:
10M - 100M
ArXiv:
DOI:
License:
Adding domain table
Browse files- README.md +56 -0
- src/dynaword/tables.py +56 -0
- src/dynaword/update_descriptive_statistics.py +10 -3
README.md
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@@ -322,6 +322,61 @@ This data generally contains no annotation besides the metadata attached to each
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Below follows a brief overview of the sources in the corpus along with their individual license.
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<!-- START-MAIN TABLE -->
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| Source | Description | Domain | N. Tokens | License |
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|:---------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------|:------------|:-----------------------|
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[Danish Copyright Law]: ./data/domsdatabasen/domsdatabasen.md#license-information
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<!-- END-MAIN TABLE -->
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You can learn more about each dataset by pressing the link in the first column.
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Below follows a brief overview of the sources in the corpus along with their individual license.
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<!-- START-DOMAIN TABLE -->
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| Domain | N. Tokens | Source with link |
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|:-------------|:------------|:----------------------------------------------------------------------------------------|
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| Legal | 2.23B | [cellar], [eur-lex-sum-da], [fm-udgivelser], [retsinformationdk], [skat], [retspraksis] |
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| Books | 722.00M | [ncc_books], [memo], [adl], [wikibooks], [jvj], [gutenberg], [relig] |
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| Conversation | 497.09M | [danske-taler], [opensubtitles], [ep], [ft], [spont], [naat] |
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| Social Media | 389.32M | [hest] |
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| Other | 340.59M | [ncc_parliament], [dannet], [depbank], [synne] |
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| Web | 295.87M | [ai-aktindsigt], [ncc_maalfrid], [miljoeportalen] |
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| Encyclopedic | 127.35M | [wikisource], [wiki] |
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| News | 60.63M | [ncc_newspaper], [tv2r], [nordjyllandnews] |
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| Medical | 27.07M | [health_hovedstaden] |
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| Readaloud | 7.30M | [nota] |
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| Dialect | 847.97K | [botxt] |
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| **Total** | 4.70B | |
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[ai-aktindsigt]: data/ai-aktindsigt/ai-aktindsigt.md
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[cellar]: data/cellar/cellar.md
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[danske-taler]: data/danske-taler/danske-taler.md
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[ncc_books]: data/ncc_books/ncc_books.md
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[ncc_newspaper]: data/ncc_newspaper/ncc_newspaper.md
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[ncc_maalfrid]: data/ncc_maalfrid/ncc_maalfrid.md
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[ncc_parliament]: data/ncc_parliament/ncc_parliament.md
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[eur-lex-sum-da]: data/eur-lex-sum-da/eur-lex-sum-da.md
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[miljoeportalen]: data/miljoeportalen/miljoeportalen.md
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[fm-udgivelser]: data/fm-udgivelser/fm-udgivelser.md
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[memo]: data/memo/memo.md
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[opensubtitles]: data/opensubtitles/opensubtitles.md
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[retsinformationdk]: data/retsinformationdk/retsinformationdk.md
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[ep]: data/ep/ep.md
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[ft]: data/ft/ft.md
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[wikisource]: data/wikisource/wikisource.md
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[spont]: data/spont/spont.md
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[tv2r]: data/tv2r/tv2r.md
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[adl]: data/adl/adl.md
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[hest]: data/hest/hest.md
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[skat]: data/skat/skat.md
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[dannet]: data/dannet/dannet.md
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[retspraksis]: data/retspraksis/retspraksis.md
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[wikibooks]: data/wikibooks/wikibooks.md
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[jvj]: data/jvj/jvj.md
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[gutenberg]: data/gutenberg/gutenberg.md
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[botxt]: data/botxt/botxt.md
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[depbank]: data/depbank/depbank.md
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[naat]: data/naat/naat.md
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[synne]: data/synne/synne.md
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[wiki]: data/wiki/wiki.md
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[nordjyllandnews]: data/nordjyllandnews/nordjyllandnews.md
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[relig]: data/relig/relig.md
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[nota]: data/nota/nota.md
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[health_hovedstaden]: data/health_hovedstaden/health_hovedstaden.md
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<!-- END-DOMAIN TABLE -->
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<details>
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<!-- START-MAIN TABLE -->
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| Source | Description | Domain | N. Tokens | License |
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|:---------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------|:------------|:-----------------------|
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[Danish Copyright Law]: ./data/domsdatabasen/domsdatabasen.md#license-information
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<!-- END-MAIN TABLE -->
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</details>
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You can learn more about each dataset by pressing the link in the first column.
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src/dynaword/tables.py
CHANGED
@@ -108,6 +108,62 @@ def create_overview_table(
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return df
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def create_overview_table_str(repo_path: Path = repo_path) -> str:
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main_table = create_overview_table(repo_path)
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readme_references = create_dataset_readme_references()
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return df
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def create_domain_table(
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repo_path: Path = repo_path,
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add_readable_tokens: bool = True,
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add_total_row: bool = True,
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) -> pd.DataFrame:
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table = {
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"Source with link": [],
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"Domain": [],
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"N. Tokens": [],
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}
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for dataset in _datasets:
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dataset_path = repo_path / "data" / dataset
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readme_path = dataset_path / f"{dataset_path.name}.md"
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sheet = DataSheet.load_from_path(readme_path)
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desc_stats = sheet.get_descritive_stats()
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main_domain = sheet.domains[0] if sheet.domains else ""
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table["Source with link"] += [f"[{dataset_path.name}]"]
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table["Domain"] += [main_domain]
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table["N. Tokens"] += [desc_stats.number_of_tokens]
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if add_total_row:
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table["Source with link"] += [""]
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table["Domain"] += ["**Total**"]
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table["N. Tokens"] += [sum(table["N. Tokens"])]
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df = pd.DataFrame.from_dict(table)
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df = df.groupby("Domain").agg(
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{"Source with link": lambda x: ", ".join(x), "N. Tokens": sum}
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)
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df = df.sort_values("N. Tokens", ascending=False)
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df.index.name = "Domain"
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df = df.reset_index()
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# Trick the Total row to be at the bottom.
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new_index = list(df.index.drop(0)) + [0]
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df = df.reindex(new_index)
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if add_readable_tokens:
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df["N. Tokens"] = df["N. Tokens"].apply(human_readable_large_int)
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return df
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def create_domain_table_str(repo_path: Path = repo_path) -> str:
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table = create_domain_table(repo_path)
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readme_references = create_dataset_readme_references()
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package = f"{table.to_markdown(index=False)}\n\n{readme_references}\n\n"
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return package
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def create_overview_table_str(repo_path: Path = repo_path) -> str:
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main_table = create_overview_table(repo_path)
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readme_references = create_dataset_readme_references()
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src/dynaword/update_descriptive_statistics.py
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)
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from dynaword.paths import repo_path
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from dynaword.plot_tokens_over_time import create_tokens_over_time_plot
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from dynaword.tables import
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logger = logging.getLogger(__name__)
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if dataset_name == "default":
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logger.info("Updating Overview table")
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-
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sheet.body = sheet.replace_tag(package=
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create_domain_distribution_plot()
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create_tokens_over_time_plot()
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)
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from dynaword.paths import repo_path
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from dynaword.plot_tokens_over_time import create_tokens_over_time_plot
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from dynaword.tables import (
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create_domain_table_str,
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create_overview_table,
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create_overview_table_str,
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)
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logger = logging.getLogger(__name__)
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if dataset_name == "default":
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logger.info("Updating Overview table")
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overview_table = create_overview_table_str()
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sheet.body = sheet.replace_tag(package=overview_table, tag="MAIN TABLE")
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logger.info("Updating domain table")
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domain_table = create_domain_table_str()
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sheet.body = sheet.replace_tag(package=domain_table, tag="DOMAIN TABLE")
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create_domain_distribution_plot()
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create_tokens_over_time_plot()
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