Datasets:
Tasks:
Text Generation
Formats:
parquet
Sub-tasks:
language-modeling
Languages:
Danish
Size:
1M - 10M
License:
clean ncc
Browse files- README.md +51 -35
- clean_and_deduplicate.py +9 -6
- data/ncc_books/ncc_books.parquet +2 -2
- data/ncc_maalfrid/ncc_maalfrid.parquet +2 -2
- data/ncc_newspapers/ncc_newspapers.parquet +2 -2
- data/ncc_parliament/ncc_parliament.parquet +2 -2
- pyproject.toml +3 -1
- src/dynaword/plots.py +22 -4
- uv.lock +113 -1
README.md
CHANGED
@@ -17,6 +17,22 @@ configs:
|
|
17 |
data_files:
|
18 |
- split: train
|
19 |
path: data/danske-taler/*.parquet
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
20 |
- config_name: eur-lex-sum-da
|
21 |
data_files:
|
22 |
- split: train
|
@@ -174,9 +190,9 @@ https://github.com/huggingface/datasets/blob/main/templates/README_guide.md
|
|
174 |
<!-- START README TABLE -->
|
175 |
| | |
|
176 |
| ------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
177 |
-
| **Version** | 1.0
|
178 |
| **Language** | dan, dansk, Danish |
|
179 |
-
| **License** | Openly Licensed, See the respective dataset
|
180 |
| **Models** | For model trained used this data see [danish-foundation-models](https://huggingface.co/danish-foundation-models) |
|
181 |
| **Contact** | If you have question about this project please create an issue [here](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions) |
|
182 |
|
@@ -311,39 +327,39 @@ This data generally contains no annotation besides the metadata attached to each
|
|
311 |
Below follows a brief overview of the sources in the corpus along with their individual license.
|
312 |
|
313 |
<!-- START-MAIN TABLE -->
|
314 |
-
| Source | Description | Domain | N. Tokens
|
315 |
-
|
316 |
-
| **Total** | | | 3.36B
|
317 |
-
| [cellar] | The official digital repository for European Union legal documents and open data | Legal | 1.15B
|
318 |
-
| [retsinformationdk] | [retsinformation.dk](https://www.retsinformation.dk) (legal-information.dk) the official legal information system of Denmark | Legal | 516.35M
|
319 |
-
| [hest] | Samples from the Danish debate forum www.heste-nettet.dk | Social Media | 389.32M
|
320 |
-
| [opensubtitles] | Danish subsection of [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles) | Conversations | 271.60M
|
321 |
-
| [ai-aktindsigt] | Multiple web scrapes from municipality websites collected as a part of the [AI-aktindsigt](https://ai-aktindsigt.dk) project | Web | 139.23M
|
322 |
-
| [miljoeportalen] | Data from [Danmarks Miljøportalen](https://www.miljoeportal.dk/om-danmarks-miljoeportal/) (Denmark's Environment Portal) | Web | 127.38M
|
323 |
-
| [skat] | Skat is the Danish tax authority. This dataset contains content from its website skat.dk | Legal | 122.11M
|
324 |
-
| [wiki] | The Danish subsection of [wikipedia](https://en.wikipedia.org/wiki/Main_Page) | Encyclopedic | 122.00M
|
325 |
-
| [ft] | Records from all meetings of The Danish parliament (Folketinget) in the parliament hall | Conversation | 114.09M
|
326 |
-
| [ep] | The Danish subsection of [Europarl](https://aclanthology.org/2005.mtsummit-papers.11/) | Conversation | 100.84M
|
327 |
-
| [adl] | Danish literature from 1700-2023 from the Archive for Danish Literature (ADL) | Books | 58.49M
|
328 |
-
| [retspraksis] | Case law or judical practice in Denmark derived from [Retspraksis](https://da.wikipedia.org/wiki/Retspraksis) | Legal | 56.26M
|
329 |
-
| [fm-udgivelser] | The official publication series of the Danish Ministry of Finance containing economic analyses, budget proposals, and fiscal policy documents | Legal | 50.34M
|
330 |
-
| [nordjyllandnews] | Articles from the Danish Newspaper [TV2 Nord](https://www.tv2nord.dk) | News | 37.90M
|
331 |
-
| [eur-lex-sum-da] | The Danish subsection of EUR-lex SUM consisting of EU legislation paired with professionally written summaries | Legal | 31.37M
|
332 |
-
| [tv2r] | Contemporary Danish newswire articles published between 2010 and 2019 | News | 21.67M
|
333 |
-
| [memo] | The MeMo corpus comprising almost all Danish novels from the period 1870-1899, known as the Modern Breakthrough | Books | 9.28M
|
334 |
-
| [danske-taler] | Danish Speeches from [dansketaler.dk](https://www.dansketaler.dk) | Speeches | 8.23M
|
335 |
-
| [nota] | The text only part of the [Nota lyd- og tekstdata](https://sprogteknologi.dk/dataset/nota-lyd-og-tekstdata) dataset | Readaloud | 7.30M
|
336 |
-
| [gutenberg] | The Danish subsection from Project [Gutenberg](https://www.gutenberg.org) | Books | 6.76M
|
337 |
-
| [wikibooks] | The Danish Subsection of [Wikibooks](https://www.wikibooks.org) | Encyclopedic | 6.24M
|
338 |
-
| [wikisource] | The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page) | Encyclopedic | 5.34M
|
339 |
-
| [jvj] | The works of the Danish author and poet, [Johannes V. Jensen](https://da.wikipedia.org/wiki/Johannes_V._Jensen) | Books | 3.55M
|
340 |
-
| [spont] | Conversational samples collected as a part of research projects at Aarhus University | Conversations | 1.56M
|
341 |
-
| [dannet] | [DanNet](https://cst.ku.dk/projekter/dannet) is a Danish WordNet | Other | 1.48M
|
342 |
-
| [relig] | Danish religious text from the 1700-2022 | Books | 1.24M
|
343 |
-
| [botxt] | The Bornholmsk Ordbog Dictionary Project | Dialect | 847.97K
|
344 |
-
| [naat] | Danish speeches from 1930-2022 | Conversations | 286.68K
|
345 |
-
| [depbank] | The Danish subsection of the [Universal Dependencies Treebank](https://github.com/UniversalDependencies/UD_Danish-DDT) | Other | 185.45K
|
346 |
-
| [synne] | Dataset collected from [synnejysk forening's website](https://www.synnejysk.dk), covering the Danish dialect sønderjysk | Other | 52.02K
|
347 |
|
348 |
[ai-aktindsigt]: data/ai-aktindsigt/ai-aktindsigt.md
|
349 |
[cellar]: data/cellar/cellar.md
|
|
|
17 |
data_files:
|
18 |
- split: train
|
19 |
path: data/danske-taler/*.parquet
|
20 |
+
- config_name: ncc_books
|
21 |
+
data_files:
|
22 |
+
- split: train
|
23 |
+
path: data/ncc_books/*.parquet
|
24 |
+
- config_name: ncc_newspapers
|
25 |
+
data_files:
|
26 |
+
- split: train
|
27 |
+
path: data/ncc_newspapers/*.parquet
|
28 |
+
- config_name: ncc_maalfrid
|
29 |
+
data_files:
|
30 |
+
- split: train
|
31 |
+
path: data/ncc_maalfrid/*.parquet
|
32 |
+
- config_name: ncc_parliament
|
33 |
+
data_files:
|
34 |
+
- split: train
|
35 |
+
path: data/ncc_parliament/*.parquet
|
36 |
- config_name: eur-lex-sum-da
|
37 |
data_files:
|
38 |
- split: train
|
|
|
190 |
<!-- START README TABLE -->
|
191 |
| | |
|
192 |
| ------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
193 |
+
| **Version** | 1.1.0 ([Changelog](/CHANGELOG.md)) |
|
194 |
| **Language** | dan, dansk, Danish |
|
195 |
+
| **License** | Openly Licensed, See the respective dataset |
|
196 |
| **Models** | For model trained used this data see [danish-foundation-models](https://huggingface.co/danish-foundation-models) |
|
197 |
| **Contact** | If you have question about this project please create an issue [here](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions) |
|
198 |
|
|
|
327 |
Below follows a brief overview of the sources in the corpus along with their individual license.
|
328 |
|
329 |
<!-- START-MAIN TABLE -->
|
330 |
+
| Source | Description | Domain | N. Tokens | License |
|
331 |
+
| :------------------ | :-------------------------------------------------------------------------------------------------------------------------------------------- | :------------ | :-------- | :--------------------- |
|
332 |
+
| **Total** | | | 3.36B | |
|
333 |
+
| [cellar] | The official digital repository for European Union legal documents and open data | Legal | 1.15B | [CC-BY-SA 4.0] |
|
334 |
+
| [retsinformationdk] | [retsinformation.dk](https://www.retsinformation.dk) (legal-information.dk) the official legal information system of Denmark | Legal | 516.35M | [Danish Copyright Law] |
|
335 |
+
| [hest] | Samples from the Danish debate forum www.heste-nettet.dk | Social Media | 389.32M | [CC-0] |
|
336 |
+
| [opensubtitles] | Danish subsection of [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles) | Conversations | 271.60M | [CC-0] |
|
337 |
+
| [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] |
|
338 |
+
| [miljoeportalen] | Data from [Danmarks Miljøportalen](https://www.miljoeportal.dk/om-danmarks-miljoeportal/) (Denmark's Environment Portal) | Web | 127.38M | [CC-0] |
|
339 |
+
| [skat] | Skat is the Danish tax authority. This dataset contains content from its website skat.dk | Legal | 122.11M | [CC-0] |
|
340 |
+
| [wiki] | The Danish subsection of [wikipedia](https://en.wikipedia.org/wiki/Main_Page) | Encyclopedic | 122.00M | [CC-0] |
|
341 |
+
| [ft] | Records from all meetings of The Danish parliament (Folketinget) in the parliament hall | Conversation | 114.09M | [CC-0] |
|
342 |
+
| [ep] | The Danish subsection of [Europarl](https://aclanthology.org/2005.mtsummit-papers.11/) | Conversation | 100.84M | [CC-0] |
|
343 |
+
| [adl] | Danish literature from 1700-2023 from the Archive for Danish Literature (ADL) | Books | 58.49M | [CC-0] |
|
344 |
+
| [retspraksis] | Case law or judical practice in Denmark derived from [Retspraksis](https://da.wikipedia.org/wiki/Retspraksis) | Legal | 56.26M | [CC-0] |
|
345 |
+
| [fm-udgivelser] | The official publication series of the Danish Ministry of Finance containing economic analyses, budget proposals, and fiscal policy documents | Legal | 50.34M | [CC-BY-SA 4.0] |
|
346 |
+
| [nordjyllandnews] | Articles from the Danish Newspaper [TV2 Nord](https://www.tv2nord.dk) | News | 37.90M | [CC-0] |
|
347 |
+
| [eur-lex-sum-da] | The Danish subsection of EUR-lex SUM consisting of EU legislation paired with professionally written summaries | Legal | 31.37M | [CC-BY-SA 4.0] |
|
348 |
+
| [tv2r] | Contemporary Danish newswire articles published between 2010 and 2019 | News | 21.67M | [CC-BY-SA 4.0] |
|
349 |
+
| [memo] | The MeMo corpus comprising almost all Danish novels from the period 1870-1899, known as the Modern Breakthrough | Books | 9.28M | [CC-BY-SA 4.0] |
|
350 |
+
| [danske-taler] | Danish Speeches from [dansketaler.dk](https://www.dansketaler.dk) | Speeches | 8.23M | [CC-0] |
|
351 |
+
| [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] |
|
352 |
+
| [gutenberg] | The Danish subsection from Project [Gutenberg](https://www.gutenberg.org) | Books | 6.76M | [Gutenberg] |
|
353 |
+
| [wikibooks] | The Danish Subsection of [Wikibooks](https://www.wikibooks.org) | Encyclopedic | 6.24M | [CC-0] |
|
354 |
+
| [wikisource] | The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page) | Encyclopedic | 5.34M | [CC-0] |
|
355 |
+
| [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] |
|
356 |
+
| [spont] | Conversational samples collected as a part of research projects at Aarhus University | Conversations | 1.56M | [CC-0] |
|
357 |
+
| [dannet] | [DanNet](https://cst.ku.dk/projekter/dannet) is a Danish WordNet | Other | 1.48M | [DanNet 1.0] |
|
358 |
+
| [relig] | Danish religious text from the 1700-2022 | Books | 1.24M | [CC-0] |
|
359 |
+
| [botxt] | The Bornholmsk Ordbog Dictionary Project | Dialect | 847.97K | [CC-0] |
|
360 |
+
| [naat] | Danish speeches from 1930-2022 | Conversations | 286.68K | [CC-0] |
|
361 |
+
| [depbank] | The Danish subsection of the [Universal Dependencies Treebank](https://github.com/UniversalDependencies/UD_Danish-DDT) | Other | 185.45K | [CC-BY-SA 4.0] |
|
362 |
+
| [synne] | Dataset collected from [synnejysk forening's website](https://www.synnejysk.dk), covering the Danish dialect sønderjysk | Other | 52.02K | [CC-0] |
|
363 |
|
364 |
[ai-aktindsigt]: data/ai-aktindsigt/ai-aktindsigt.md
|
365 |
[cellar]: data/cellar/cellar.md
|
clean_and_deduplicate.py
CHANGED
@@ -6,10 +6,10 @@ from datasets import Dataset, load_dataset
|
|
6 |
|
7 |
from dynaword.datasheet import DataSheet
|
8 |
from dynaword.process_dataset import (
|
|
|
9 |
ensure_column_order,
|
10 |
-
|
11 |
-
|
12 |
-
# remove_empty_texts,
|
13 |
)
|
14 |
|
15 |
logger = logging.getLogger(__name__)
|
@@ -30,14 +30,17 @@ for dataset_cfg in sheet.frontmatter["configs"][1:]:
|
|
30 |
ds = load_dataset(_data_path.as_posix(), split="train")
|
31 |
|
32 |
ds = cast(Dataset, ds)
|
|
|
|
|
|
|
33 |
|
34 |
cols_to_remove = [
|
35 |
c for c in ds.column_names if c in ["license", "metadata", "domain"]
|
36 |
]
|
37 |
ds = ds.remove_columns(cols_to_remove)
|
38 |
-
|
39 |
-
|
40 |
-
|
41 |
ds = ensure_column_order(ds)
|
42 |
|
43 |
# save dataset
|
|
|
6 |
|
7 |
from dynaword.datasheet import DataSheet
|
8 |
from dynaword.process_dataset import (
|
9 |
+
add_token_count,
|
10 |
ensure_column_order,
|
11 |
+
remove_duplicate_text,
|
12 |
+
remove_empty_texts,
|
|
|
13 |
)
|
14 |
|
15 |
logger = logging.getLogger(__name__)
|
|
|
30 |
ds = load_dataset(_data_path.as_posix(), split="train")
|
31 |
|
32 |
ds = cast(Dataset, ds)
|
33 |
+
if "token_count" in ds.column_names:
|
34 |
+
logger.info("Token count already exists, skipping")
|
35 |
+
continue
|
36 |
|
37 |
cols_to_remove = [
|
38 |
c for c in ds.column_names if c in ["license", "metadata", "domain"]
|
39 |
]
|
40 |
ds = ds.remove_columns(cols_to_remove)
|
41 |
+
ds = add_token_count(ds)
|
42 |
+
ds = remove_empty_texts(ds)
|
43 |
+
ds = remove_duplicate_text(ds)
|
44 |
ds = ensure_column_order(ds)
|
45 |
|
46 |
# save dataset
|
data/ncc_books/ncc_books.parquet
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4b3f2cc7fbfc6fdf31ee760d65a38f489846b89c22ea87ba4b444c9ebfe56bd1
|
3 |
+
size 978761307
|
data/ncc_maalfrid/ncc_maalfrid.parquet
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:61c5d07f6634386872cc94aa6e2f670bb5d928364360fa934565c35b8fd1ba5d
|
3 |
+
size 54970623
|
data/ncc_newspapers/ncc_newspapers.parquet
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:670fd0207f7b1a24b0f0fdaba4c78690067b078ecd17a87496be49359a74eb0d
|
3 |
+
size 428063
|
data/ncc_parliament/ncc_parliament.parquet
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:41256bd4001d87fc05c81a4757b5203c01cb7bb9b7ea7d7d3ac89c3c5c393951
|
3 |
+
size 541074238
|
pyproject.toml
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
[project]
|
2 |
name = "dynaword"
|
3 |
-
version = "1.0
|
4 |
description = "project code for the danish dynaword project"
|
5 |
readme = "README.md"
|
6 |
requires-python = ">=3.12,<3.13" # 3.13 have issues with spacy and pytorch
|
@@ -13,6 +13,8 @@ dependencies = [
|
|
13 |
"plotnine>=0.14.5", # figures
|
14 |
"tomlkit>=0.13.2", # reading toml
|
15 |
"transformers>=4.47.1", # tokenization
|
|
|
|
|
16 |
]
|
17 |
|
18 |
[dependency-groups]
|
|
|
1 |
[project]
|
2 |
name = "dynaword"
|
3 |
+
version = "1.1.0"
|
4 |
description = "project code for the danish dynaword project"
|
5 |
readme = "README.md"
|
6 |
requires-python = ">=3.12,<3.13" # 3.13 have issues with spacy and pytorch
|
|
|
13 |
"plotnine>=0.14.5", # figures
|
14 |
"tomlkit>=0.13.2", # reading toml
|
15 |
"transformers>=4.47.1", # tokenization
|
16 |
+
"plotly>=6.0.1",
|
17 |
+
"nbformat>=4.2.0",
|
18 |
]
|
19 |
|
20 |
[dependency-groups]
|
src/dynaword/plots.py
CHANGED
@@ -2,17 +2,35 @@ import logging
|
|
2 |
from pathlib import Path
|
3 |
|
4 |
import pandas as pd
|
|
|
5 |
import plotnine as pn
|
6 |
from datasets import Dataset
|
7 |
|
|
|
|
|
8 |
logger = logging.getLogger(__name__)
|
9 |
|
10 |
|
11 |
-
|
12 |
-
|
13 |
-
|
14 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
15 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
16 |
|
17 |
def create_descriptive_statistics_plots(
|
18 |
dataset: Dataset,
|
|
|
2 |
from pathlib import Path
|
3 |
|
4 |
import pandas as pd
|
5 |
+
import plotly.express as px
|
6 |
import plotnine as pn
|
7 |
from datasets import Dataset
|
8 |
|
9 |
+
from dynaword.tables import create_overview_table
|
10 |
+
|
11 |
logger = logging.getLogger(__name__)
|
12 |
|
13 |
|
14 |
+
def create_domain_distribution_plot(
|
15 |
+
save_dir: Path,
|
16 |
+
):
|
17 |
+
df = create_overview_table(
|
18 |
+
add_readable_tokens=False, add_total_row=False, add_readme_references=False
|
19 |
+
)
|
20 |
+
fig = px.sunburst(df, path=["Domain", "Source"], values="N. Tokens")
|
21 |
+
|
22 |
+
fig.update_traces(textinfo="label+percent entry")
|
23 |
+
fig.update_layout(title="Dataset Distribution by Domain and Source")
|
24 |
|
25 |
+
img_path = save_dir / "images"
|
26 |
+
img_path.mkdir(parents=False, exist_ok=True)
|
27 |
+
save_path = img_path / "domain_distribution.png"
|
28 |
+
fig.write_image(
|
29 |
+
save_path,
|
30 |
+
width=800,
|
31 |
+
height=800,
|
32 |
+
scale=2,
|
33 |
+
)
|
34 |
|
35 |
def create_descriptive_statistics_plots(
|
36 |
dataset: Dataset,
|
uv.lock
CHANGED
@@ -258,11 +258,13 @@ wheels = [
|
|
258 |
|
259 |
[[package]]
|
260 |
name = "dynaword"
|
261 |
-
version = "1.0
|
262 |
source = { editable = "." }
|
263 |
dependencies = [
|
264 |
{ name = "datasets" },
|
265 |
{ name = "gitpython" },
|
|
|
|
|
266 |
{ name = "plotnine" },
|
267 |
{ name = "pydantic" },
|
268 |
{ name = "tabulate" },
|
@@ -282,6 +284,8 @@ dev = [
|
|
282 |
requires-dist = [
|
283 |
{ name = "datasets", specifier = ">=3.0.0" },
|
284 |
{ name = "gitpython", specifier = ">=3.1.43" },
|
|
|
|
|
285 |
{ name = "plotnine", specifier = ">=0.14.5" },
|
286 |
{ name = "pydantic", specifier = ">=2.10.4" },
|
287 |
{ name = "tabulate", specifier = ">=0.9.0" },
|
@@ -306,6 +310,15 @@ wheels = [
|
|
306 |
{ url = "https://files.pythonhosted.org/packages/b5/fd/afcd0496feca3276f509df3dbd5dae726fcc756f1a08d9e25abe1733f962/executing-2.1.0-py2.py3-none-any.whl", hash = "sha256:8d63781349375b5ebccc3142f4b30350c0cd9c79f921cde38be2be4637e98eaf", size = 25805 },
|
307 |
]
|
308 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
309 |
[[package]]
|
310 |
name = "filelock"
|
311 |
version = "3.16.1"
|
@@ -486,6 +499,33 @@ wheels = [
|
|
486 |
{ url = "https://files.pythonhosted.org/packages/c0/5a/9cac0c82afec3d09ccd97c8b6502d48f165f9124db81b4bcb90b4af974ee/jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9", size = 1572278 },
|
487 |
]
|
488 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
489 |
[[package]]
|
490 |
name = "jupyter-client"
|
491 |
version = "8.6.3"
|
@@ -631,6 +671,30 @@ wheels = [
|
|
631 |
{ url = "https://files.pythonhosted.org/packages/da/d9/f7f9379981e39b8c2511c9e0326d212accacb82f12fbfdc1aa2ce2a7b2b6/multiprocess-0.70.16-py39-none-any.whl", hash = "sha256:a0bafd3ae1b732eac64be2e72038231c1ba97724b60b09400d68f229fcc2fbf3", size = 133351 },
|
632 |
]
|
633 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
634 |
[[package]]
|
635 |
name = "nest-asyncio"
|
636 |
version = "1.6.0"
|
@@ -758,6 +822,19 @@ wheels = [
|
|
758 |
{ url = "https://files.pythonhosted.org/packages/3c/a6/bc1012356d8ece4d66dd75c4b9fc6c1f6650ddd5991e421177d9f8f671be/platformdirs-4.3.6-py3-none-any.whl", hash = "sha256:73e575e1408ab8103900836b97580d5307456908a03e92031bab39e4554cc3fb", size = 18439 },
|
759 |
]
|
760 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
761 |
[[package]]
|
762 |
name = "plotnine"
|
763 |
version = "0.14.5"
|
@@ -1021,6 +1098,20 @@ wheels = [
|
|
1021 |
{ url = "https://files.pythonhosted.org/packages/5f/0e/eb16ff731632d30554bf5af4dbba3ffcd04518219d82028aea4ae1b02ca5/pyzmq-26.2.0-cp312-cp312-win_arm64.whl", hash = "sha256:4d29ab8592b6ad12ebbf92ac2ed2bedcfd1cec192d8e559e2e099f648570e19b", size = 540675 },
|
1022 |
]
|
1023 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1024 |
[[package]]
|
1025 |
name = "regex"
|
1026 |
version = "2024.11.6"
|
@@ -1059,6 +1150,27 @@ wheels = [
|
|
1059 |
{ url = "https://files.pythonhosted.org/packages/f9/9b/335f9764261e915ed497fcdeb11df5dfd6f7bf257d4a6a2a686d80da4d54/requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6", size = 64928 },
|
1060 |
]
|
1061 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1062 |
[[package]]
|
1063 |
name = "ruff"
|
1064 |
version = "0.8.5"
|
|
|
258 |
|
259 |
[[package]]
|
260 |
name = "dynaword"
|
261 |
+
version = "1.1.0"
|
262 |
source = { editable = "." }
|
263 |
dependencies = [
|
264 |
{ name = "datasets" },
|
265 |
{ name = "gitpython" },
|
266 |
+
{ name = "nbformat" },
|
267 |
+
{ name = "plotly" },
|
268 |
{ name = "plotnine" },
|
269 |
{ name = "pydantic" },
|
270 |
{ name = "tabulate" },
|
|
|
284 |
requires-dist = [
|
285 |
{ name = "datasets", specifier = ">=3.0.0" },
|
286 |
{ name = "gitpython", specifier = ">=3.1.43" },
|
287 |
+
{ name = "nbformat", specifier = ">=4.2.0" },
|
288 |
+
{ name = "plotly", specifier = ">=6.0.1" },
|
289 |
{ name = "plotnine", specifier = ">=0.14.5" },
|
290 |
{ name = "pydantic", specifier = ">=2.10.4" },
|
291 |
{ name = "tabulate", specifier = ">=0.9.0" },
|
|
|
310 |
{ url = "https://files.pythonhosted.org/packages/b5/fd/afcd0496feca3276f509df3dbd5dae726fcc756f1a08d9e25abe1733f962/executing-2.1.0-py2.py3-none-any.whl", hash = "sha256:8d63781349375b5ebccc3142f4b30350c0cd9c79f921cde38be2be4637e98eaf", size = 25805 },
|
311 |
]
|
312 |
|
313 |
+
[[package]]
|
314 |
+
name = "fastjsonschema"
|
315 |
+
version = "2.21.1"
|
316 |
+
source = { registry = "https://pypi.org/simple" }
|
317 |
+
sdist = { url = "https://files.pythonhosted.org/packages/8b/50/4b769ce1ac4071a1ef6d86b1a3fb56cdc3a37615e8c5519e1af96cdac366/fastjsonschema-2.21.1.tar.gz", hash = "sha256:794d4f0a58f848961ba16af7b9c85a3e88cd360df008c59aac6fc5ae9323b5d4", size = 373939 }
|
318 |
+
wheels = [
|
319 |
+
{ url = "https://files.pythonhosted.org/packages/90/2b/0817a2b257fe88725c25589d89aec060581aabf668707a8d03b2e9e0cb2a/fastjsonschema-2.21.1-py3-none-any.whl", hash = "sha256:c9e5b7e908310918cf494a434eeb31384dd84a98b57a30bcb1f535015b554667", size = 23924 },
|
320 |
+
]
|
321 |
+
|
322 |
[[package]]
|
323 |
name = "filelock"
|
324 |
version = "3.16.1"
|
|
|
499 |
{ url = "https://files.pythonhosted.org/packages/c0/5a/9cac0c82afec3d09ccd97c8b6502d48f165f9124db81b4bcb90b4af974ee/jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9", size = 1572278 },
|
500 |
]
|
501 |
|
502 |
+
[[package]]
|
503 |
+
name = "jsonschema"
|
504 |
+
version = "4.23.0"
|
505 |
+
source = { registry = "https://pypi.org/simple" }
|
506 |
+
dependencies = [
|
507 |
+
{ name = "attrs" },
|
508 |
+
{ name = "jsonschema-specifications" },
|
509 |
+
{ name = "referencing" },
|
510 |
+
{ name = "rpds-py" },
|
511 |
+
]
|
512 |
+
sdist = { url = "https://files.pythonhosted.org/packages/38/2e/03362ee4034a4c917f697890ccd4aec0800ccf9ded7f511971c75451deec/jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4", size = 325778 }
|
513 |
+
wheels = [
|
514 |
+
{ url = "https://files.pythonhosted.org/packages/69/4a/4f9dbeb84e8850557c02365a0eee0649abe5eb1d84af92a25731c6c0f922/jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566", size = 88462 },
|
515 |
+
]
|
516 |
+
|
517 |
+
[[package]]
|
518 |
+
name = "jsonschema-specifications"
|
519 |
+
version = "2025.4.1"
|
520 |
+
source = { registry = "https://pypi.org/simple" }
|
521 |
+
dependencies = [
|
522 |
+
{ name = "referencing" },
|
523 |
+
]
|
524 |
+
sdist = { url = "https://files.pythonhosted.org/packages/bf/ce/46fbd9c8119cfc3581ee5643ea49464d168028cfb5caff5fc0596d0cf914/jsonschema_specifications-2025.4.1.tar.gz", hash = "sha256:630159c9f4dbea161a6a2205c3011cc4f18ff381b189fff48bb39b9bf26ae608", size = 15513 }
|
525 |
+
wheels = [
|
526 |
+
{ url = "https://files.pythonhosted.org/packages/01/0e/b27cdbaccf30b890c40ed1da9fd4a3593a5cf94dae54fb34f8a4b74fcd3f/jsonschema_specifications-2025.4.1-py3-none-any.whl", hash = "sha256:4653bffbd6584f7de83a67e0d620ef16900b390ddc7939d56684d6c81e33f1af", size = 18437 },
|
527 |
+
]
|
528 |
+
|
529 |
[[package]]
|
530 |
name = "jupyter-client"
|
531 |
version = "8.6.3"
|
|
|
671 |
{ url = "https://files.pythonhosted.org/packages/da/d9/f7f9379981e39b8c2511c9e0326d212accacb82f12fbfdc1aa2ce2a7b2b6/multiprocess-0.70.16-py39-none-any.whl", hash = "sha256:a0bafd3ae1b732eac64be2e72038231c1ba97724b60b09400d68f229fcc2fbf3", size = 133351 },
|
672 |
]
|
673 |
|
674 |
+
[[package]]
|
675 |
+
name = "narwhals"
|
676 |
+
version = "1.38.2"
|
677 |
+
source = { registry = "https://pypi.org/simple" }
|
678 |
+
sdist = { url = "https://files.pythonhosted.org/packages/dd/fa/f4c2b2524b6b1e7475af933849ecaad280822eab5631151ccb1993d600ce/narwhals-1.38.2.tar.gz", hash = "sha256:7c5fbc9f2b8e1d5d95f49dcef9c2d94bf17810de68c87ff195dc7d22f7b3eeb5", size = 277368 }
|
679 |
+
wheels = [
|
680 |
+
{ url = "https://files.pythonhosted.org/packages/56/45/59251121eb801f033ffdd56d8893a0f20ec661bdc362f8d52a4e4d547f91/narwhals-1.38.2-py3-none-any.whl", hash = "sha256:a33a182e32f18d794a04e7828a5c401fb26ce9083f609993e7e5064aace641c7", size = 338437 },
|
681 |
+
]
|
682 |
+
|
683 |
+
[[package]]
|
684 |
+
name = "nbformat"
|
685 |
+
version = "5.10.4"
|
686 |
+
source = { registry = "https://pypi.org/simple" }
|
687 |
+
dependencies = [
|
688 |
+
{ name = "fastjsonschema" },
|
689 |
+
{ name = "jsonschema" },
|
690 |
+
{ name = "jupyter-core" },
|
691 |
+
{ name = "traitlets" },
|
692 |
+
]
|
693 |
+
sdist = { url = "https://files.pythonhosted.org/packages/6d/fd/91545e604bc3dad7dca9ed03284086039b294c6b3d75c0d2fa45f9e9caf3/nbformat-5.10.4.tar.gz", hash = "sha256:322168b14f937a5d11362988ecac2a4952d3d8e3a2cbeb2319584631226d5b3a", size = 142749 }
|
694 |
+
wheels = [
|
695 |
+
{ url = "https://files.pythonhosted.org/packages/a9/82/0340caa499416c78e5d8f5f05947ae4bc3cba53c9f038ab6e9ed964e22f1/nbformat-5.10.4-py3-none-any.whl", hash = "sha256:3b48d6c8fbca4b299bf3982ea7db1af21580e4fec269ad087b9e81588891200b", size = 78454 },
|
696 |
+
]
|
697 |
+
|
698 |
[[package]]
|
699 |
name = "nest-asyncio"
|
700 |
version = "1.6.0"
|
|
|
822 |
{ url = "https://files.pythonhosted.org/packages/3c/a6/bc1012356d8ece4d66dd75c4b9fc6c1f6650ddd5991e421177d9f8f671be/platformdirs-4.3.6-py3-none-any.whl", hash = "sha256:73e575e1408ab8103900836b97580d5307456908a03e92031bab39e4554cc3fb", size = 18439 },
|
823 |
]
|
824 |
|
825 |
+
[[package]]
|
826 |
+
name = "plotly"
|
827 |
+
version = "6.0.1"
|
828 |
+
source = { registry = "https://pypi.org/simple" }
|
829 |
+
dependencies = [
|
830 |
+
{ name = "narwhals" },
|
831 |
+
{ name = "packaging" },
|
832 |
+
]
|
833 |
+
sdist = { url = "https://files.pythonhosted.org/packages/c7/cc/e41b5f697ae403f0b50e47b7af2e36642a193085f553bf7cc1169362873a/plotly-6.0.1.tar.gz", hash = "sha256:dd8400229872b6e3c964b099be699f8d00c489a974f2cfccfad5e8240873366b", size = 8094643 }
|
834 |
+
wheels = [
|
835 |
+
{ url = "https://files.pythonhosted.org/packages/02/65/ad2bc85f7377f5cfba5d4466d5474423a3fb7f6a97fd807c06f92dd3e721/plotly-6.0.1-py3-none-any.whl", hash = "sha256:4714db20fea57a435692c548a4eb4fae454f7daddf15f8d8ba7e1045681d7768", size = 14805757 },
|
836 |
+
]
|
837 |
+
|
838 |
[[package]]
|
839 |
name = "plotnine"
|
840 |
version = "0.14.5"
|
|
|
1098 |
{ url = "https://files.pythonhosted.org/packages/5f/0e/eb16ff731632d30554bf5af4dbba3ffcd04518219d82028aea4ae1b02ca5/pyzmq-26.2.0-cp312-cp312-win_arm64.whl", hash = "sha256:4d29ab8592b6ad12ebbf92ac2ed2bedcfd1cec192d8e559e2e099f648570e19b", size = 540675 },
|
1099 |
]
|
1100 |
|
1101 |
+
[[package]]
|
1102 |
+
name = "referencing"
|
1103 |
+
version = "0.36.2"
|
1104 |
+
source = { registry = "https://pypi.org/simple" }
|
1105 |
+
dependencies = [
|
1106 |
+
{ name = "attrs" },
|
1107 |
+
{ name = "rpds-py" },
|
1108 |
+
{ name = "typing-extensions" },
|
1109 |
+
]
|
1110 |
+
sdist = { url = "https://files.pythonhosted.org/packages/2f/db/98b5c277be99dd18bfd91dd04e1b759cad18d1a338188c936e92f921c7e2/referencing-0.36.2.tar.gz", hash = "sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa", size = 74744 }
|
1111 |
+
wheels = [
|
1112 |
+
{ url = "https://files.pythonhosted.org/packages/c1/b1/3baf80dc6d2b7bc27a95a67752d0208e410351e3feb4eb78de5f77454d8d/referencing-0.36.2-py3-none-any.whl", hash = "sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0", size = 26775 },
|
1113 |
+
]
|
1114 |
+
|
1115 |
[[package]]
|
1116 |
name = "regex"
|
1117 |
version = "2024.11.6"
|
|
|
1150 |
{ url = "https://files.pythonhosted.org/packages/f9/9b/335f9764261e915ed497fcdeb11df5dfd6f7bf257d4a6a2a686d80da4d54/requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6", size = 64928 },
|
1151 |
]
|
1152 |
|
1153 |
+
[[package]]
|
1154 |
+
name = "rpds-py"
|
1155 |
+
version = "0.24.0"
|
1156 |
+
source = { registry = "https://pypi.org/simple" }
|
1157 |
+
sdist = { url = "https://files.pythonhosted.org/packages/0b/b3/52b213298a0ba7097c7ea96bee95e1947aa84cc816d48cebb539770cdf41/rpds_py-0.24.0.tar.gz", hash = "sha256:772cc1b2cd963e7e17e6cc55fe0371fb9c704d63e44cacec7b9b7f523b78919e", size = 26863 }
|
1158 |
+
wheels = [
|
1159 |
+
{ url = "https://files.pythonhosted.org/packages/1a/e0/1c55f4a3be5f1ca1a4fd1f3ff1504a1478c1ed48d84de24574c4fa87e921/rpds_py-0.24.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:d8551e733626afec514b5d15befabea0dd70a343a9f23322860c4f16a9430205", size = 366945 },
|
1160 |
+
{ url = "https://files.pythonhosted.org/packages/39/1b/a3501574fbf29118164314dbc800d568b8c1c7b3258b505360e8abb3902c/rpds_py-0.24.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:0e374c0ce0ca82e5b67cd61fb964077d40ec177dd2c4eda67dba130de09085c7", size = 351935 },
|
1161 |
+
{ url = "https://files.pythonhosted.org/packages/dc/47/77d3d71c55f6a374edde29f1aca0b2e547325ed00a9da820cabbc9497d2b/rpds_py-0.24.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d69d003296df4840bd445a5d15fa5b6ff6ac40496f956a221c4d1f6f7b4bc4d9", size = 390817 },
|
1162 |
+
{ url = "https://files.pythonhosted.org/packages/4e/ec/1e336ee27484379e19c7f9cc170f4217c608aee406d3ae3a2e45336bff36/rpds_py-0.24.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:8212ff58ac6dfde49946bea57474a386cca3f7706fc72c25b772b9ca4af6b79e", size = 401983 },
|
1163 |
+
{ url = "https://files.pythonhosted.org/packages/07/f8/39b65cbc272c635eaea6d393c2ad1ccc81c39eca2db6723a0ca4b2108fce/rpds_py-0.24.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:528927e63a70b4d5f3f5ccc1fa988a35456eb5d15f804d276709c33fc2f19bda", size = 451719 },
|
1164 |
+
{ url = "https://files.pythonhosted.org/packages/32/05/05c2b27dd9c30432f31738afed0300659cb9415db0ff7429b05dfb09bbde/rpds_py-0.24.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a824d2c7a703ba6daaca848f9c3d5cb93af0505be505de70e7e66829affd676e", size = 442546 },
|
1165 |
+
{ url = "https://files.pythonhosted.org/packages/7d/e0/19383c8b5d509bd741532a47821c3e96acf4543d0832beba41b4434bcc49/rpds_py-0.24.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:44d51febb7a114293ffd56c6cf4736cb31cd68c0fddd6aa303ed09ea5a48e029", size = 393695 },
|
1166 |
+
{ url = "https://files.pythonhosted.org/packages/9d/15/39f14e96d94981d0275715ae8ea564772237f3fa89bc3c21e24de934f2c7/rpds_py-0.24.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:3fab5f4a2c64a8fb64fc13b3d139848817a64d467dd6ed60dcdd6b479e7febc9", size = 427218 },
|
1167 |
+
{ url = "https://files.pythonhosted.org/packages/22/b9/12da7124905a680f690da7a9de6f11de770b5e359f5649972f7181c8bf51/rpds_py-0.24.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:9be4f99bee42ac107870c61dfdb294d912bf81c3c6d45538aad7aecab468b6b7", size = 568062 },
|
1168 |
+
{ url = "https://files.pythonhosted.org/packages/88/17/75229017a2143d915f6f803721a6d721eca24f2659c5718a538afa276b4f/rpds_py-0.24.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:564c96b6076a98215af52f55efa90d8419cc2ef45d99e314fddefe816bc24f91", size = 596262 },
|
1169 |
+
{ url = "https://files.pythonhosted.org/packages/aa/64/8e8a1d8bd1b6b638d6acb6d41ab2cec7f2067a5b8b4c9175703875159a7c/rpds_py-0.24.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:75a810b7664c17f24bf2ffd7f92416c00ec84b49bb68e6a0d93e542406336b56", size = 564306 },
|
1170 |
+
{ url = "https://files.pythonhosted.org/packages/68/1c/a7eac8d8ed8cb234a9b1064647824c387753343c3fab6ed7c83481ed0be7/rpds_py-0.24.0-cp312-cp312-win32.whl", hash = "sha256:f6016bd950be4dcd047b7475fdf55fb1e1f59fc7403f387be0e8123e4a576d30", size = 224281 },
|
1171 |
+
{ url = "https://files.pythonhosted.org/packages/bb/46/b8b5424d1d21f2f2f3f2d468660085318d4f74a8df8289e3dd6ad224d488/rpds_py-0.24.0-cp312-cp312-win_amd64.whl", hash = "sha256:998c01b8e71cf051c28f5d6f1187abbdf5cf45fc0efce5da6c06447cba997034", size = 239719 },
|
1172 |
+
]
|
1173 |
+
|
1174 |
[[package]]
|
1175 |
name = "ruff"
|
1176 |
version = "0.8.5"
|