updated name of the dataset

README.md

@@ -99,60 +99,95 @@ task_categories:
 - text-generation
 task_ids:
 - language-modeling
-pretty_name: Danish Gigaword
+pretty_name: Danish Dynaword
 language_bcp47:
 - da
 - da-bornholm
 - da-synnejyl
 ---
 
-# Danish Gigaword 2
+<!-- 
+readme structure is inspired by:
+https://github.com/huggingface/datasets/blob/main/templates/README_guide.md -->
 
-*Version*: 2.0.0
+# 🧨 Danish Dynaword
+
+|              |                                                                                                                                                               |
+| ------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| **Language** | dan, dansk, Danish                                                                                                                                            |
+| **License**  | Permissible, See the respective dataset                                                                                                                       |
+| **Models**   | For model trained used this data see [danish-foundation-models](https://huggingface.co/danish-foundation-models)                                              |
+| **Contact**  | If you have question about this project please create an issue [here](https://huggingface.co/datasets/danish-foundation-models/danish-gigaword-2/discussions) |
 
-*License*: See the respective dataset
 
 ## Table of Contents
-- [Danish Gigaword 2](#danish-gigaword-2)
+- [🧨 Danish Dynaword](#-danish-dynaword)
   - [Table of Contents](#table-of-contents)
   - [Dataset Description](#dataset-description)
     - [Dataset Summary](#dataset-summary)
     - [Loading the dataset](#loading-the-dataset)
+    - [Languages:](#languages)
   - [Dataset Structure](#dataset-structure)
     - [Data Instances](#data-instances)
     - [Data Fields](#data-fields)
     - [Data Splits](#data-splits)
   - [Dataset Creation](#dataset-creation)
+    - [Curation Rationale](#curation-rationale)
+    - [Annotations](#annotations)
     - [Source Data](#source-data)
   - [Additional Information](#additional-information)
-    - [Contributing the dataset](#contributing-the-dataset)
+    - [Contributing to the dataset](#contributing-to-the-dataset)
     - [Citation Information](#citation-information)
 
 ## Dataset Description
 
-This is iteration on the Danish Gigaword corpus. It is intended to be continually updated with new data sources.
 
 ### Dataset Summary
 
-The Danish Gigaword Corpus contains text spanning several domains and forms. 
+The Danish dynaword is a continually developed collection of Danish free-form text datasets from various domains. It is intended to be continually updated with new data sources. If you would like to contribute a dataset see the [contribute section](#contributing-to-the-dataset) 
+
 
 ### Loading the dataset
 
 ```py
 from datasets import load_dataset
 
-name = "danish-foundation-models/danish-gigaword"
+name = "danish-foundation-models/danish-dynaword"
 ds = load_dataset(name, split = "train")
 sample = ds[1] # see "Data Instances" below
+```
 
-# or load by streaming the data
+or load it by streaming the data
+```py
 ds = load_dataset(name, split = "train", streaming=True)
-sample = next(iter(ds))
+dataset_iter = iter(ds)
+sample = next(iter(dataset_iter))
+```
+
+You can also load a single subset at a time:
+```py
+ds = load_dataset(name, "adl", split = "train")
+```
+
+
+As Danish Dynaword is continually expanding and curated you can make sure that you get the same dataset every time by specifying the revision:
+You can also load a single subset at a time:
+```py
+ds = load_dataset(name, revision="{desired revision}")
 ```
 
+### Languages:
+This dataset includes the following languages:
+
+- dan-Latn
+- dan-Latn-bornholm
+- dan-Latn-synnejyl
+
+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.
+
 ## Dataset Structure
 
-The dataset contains text from different sources which are thoroughly defined in [Source Data](#source-data). See the [homepage](https://gigaword.dk) or [paper](https://aclanthology.org/2021.nodalida-main.46.pdf) for more information. 
+The dataset contains text from different sources which are thoroughly defined in [Source Data](#source-data).
 
 ### Data Instances
 
@@ -192,6 +227,14 @@ The entire corpus is provided in the `train` split.
 
 ## Dataset Creation
 
+### Curation Rationale
+
+These datasets were collected and curated with the intention of making large quantities of Danish text data available. While this was collected with the intention of developing language models it is likely to have multiple other uses such as examining language development and differences across domains. 
+
+### Annotations
+
+This data generally contains no annotation besides the metadata attached to each sample such as what domain it belongs to. 
+
 ### Source Data
 
 Below follows a brief overview of the sources in the corpus along with their individual license.
@@ -225,24 +268,13 @@ Below follows a brief overview of the sources in the corpus along with their ind
 [Other (Danish Law)]: https://huggingface.co/datasets/danish-foundation-models/danish-gigaword-2/blob/main/data/retsinformationdk/retsinformationdk.md#license-information
 
 
+
 ## Additional Information
 
-### Contributing the dataset
+### Contributing to the dataset
 
 We welcome contributions to the dataset such as new sources, better data filtering and so on. To get started on contributing please see [the contribution guidelines](CONTRIBUTING.md)
 
 ### Citation Information
 
-The original version of Danish Gigawords was created as a part of the following publication.
-
-> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021).
-
-```
-@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}
-}
-```
+This version expand upon existing dataset sources such as the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite the source of the dataset when using these datasets.

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
-name = "danish-gigaword-2"
+name = "danish-dynaword"
 version = "1.0.2"
-description = "project code for the danish gigaword 2 project"
+description = "project code for the danish dynaword project"
 readme = "README.md"
 requires-python = ">=3.13"
 dependencies = [