ensure domains in metadata

data/wikibooks/wikibooks.md

@@ -13,6 +13,8 @@ task_ids:
   - language-modeling
 source_datasets:
   - danish-foundation-models/danish-gigaword
+domains:
+- Encyclopedic
 ---
 
 # Dataset Card for Wikibooks

data/wikisource/descriptive_stats.json

@@ -2,6 +2,5 @@
   "number_of_samples": 2419,
   "average_document_length": 6398.767259198015,
   "number_of_tokens": 5344862,
-  "language": "dan, dansk, Danish",
-  "revision": "341a0162905ca4848fc840d941edfd0a6d1b2314"
+  "revision": "f1205a6d2f118eeb1b5181e7281b3909963b0678"
 }

data/wikisource/wikisource.md

@@ -1,19 +1,22 @@
 ---
 pretty_name: Wikisource
 language:
-  - da
+- da
 license: cc0-1.0
 license_name: CC-0
 size_categories:
-  - 1-10k
+- 1-10k
 task_categories:
-  - text-generation
-  - fill-mask
+- text-generation
+- fill-mask
 task_ids:
-  - language-modeling
+- language-modeling
 source_datasets:
-  - danish-foundation-models/danish-gigaword
+- danish-foundation-models/danish-gigaword
+domains:
+- Encyclopedic
 ---
+
 # Dataset Card for Wikisource
 
 <!-- START-SHORT DESCRIPTION -->
@@ -26,6 +29,7 @@ The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page).
 
 <!-- START-DESC-STATS -->
 - **Language**: dan, dansk, Danish
+- **Domains**: None
 - **Number of samples**: 2.42K
 - **Number of tokens (Llama 3)**: 5.34M
 - **Average document length (characters)**: 6398.77
@@ -54,22 +58,20 @@ An example from the dataset looks as follows.
 
 An entry in the dataset consists of the following fields:
 
+- `id` (`str`): An unique identifier for each document.
 - `text`(`str`): The content of the document.
 - `source` (`str`): The source of the document (see [Source Data](#source-data)).
-- `id` (`str`): An unique identifier for each document.
 - `added` (`str`): An date for when the document was added to this collection.
 - `created` (`str`): An date range for when the document was originally created.
-- `license` (`str`): The license of the document. The licenses vary according to the source. 
-- `domain` (`str`): The domain of the source
-- `metadata/source-pretty` (`str`): The long form version of the short-form source name
-- `metadata/*`: Potentially additional metadata
+- `token_count` (`int`): The number of tokens in the sample computed using the Llama 8B tokenizer
 <!-- END-SAMPLE -->
 
 ### Dataset Statistics
 
 <!-- START-DATASET PLOTS -->
+<p align="center">
 <img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-<img>
+</p>
 <!-- END-DATASET PLOTS -->
 
 

src/tests/test_datasheets.py

@@ -45,3 +45,11 @@ def test_datasheet_required_headings(dataset_name: str):
     req_h2_headings = ["## Dataset Description", "## Additional Information"]
     for req_h2 in req_h2_headings:
         assert ds_sheet.get_section_by_header(req_h2)
+
+
+@pytest.mark.parametrize("dataset_name", DATASET_NAMES)
+def test_domains_in_frontmatter(dataset_name: str):
+    readme = repo_path / "data" / dataset_name / f"{dataset_name}.md"
+    ds_sheet = DataSheet.load_from_path(readme)
+
+    assert ds_sheet.domains, "domains annotations are missing"