Dataset card.

README.md

@@ -0,0 +1,70 @@
+---
+pretty_name: Korpus Malti
+languages:
+- mt
+multilinguality:
+- monolingual
+size_categories:
+- 10M<n<100M
+annotations_creators:
+- no-annotation
+language_creators:
+- found
+source_datasets:
+- original
+task_categories:
+- text-generation
+- fill-mask
+task_ids:
+- language-modeling
+- masked-language-modeling
+---
+# Korpus Malti 🇲🇹
+
+General Corpora for the Maltese Language.
+
+This dataset is composed of texts from various genres/domains written in Maltese.
+
+
+## Configurations
+
+### Shuffled data
+
+The default configuration (`"shuffled"`) yields the the entire corpus from all genres:
+```python
+import datasets
+
+dataset = datasets.load_dataset("MLRS/korpus_malti")
+```
+
+All sentences are combined together and shuffled, without preserving the sentence order.
+No other annotations are present, so an instance would be of the following form:
+```json
+{
+  "text": "Din hija sentenza."
+}
+```
+
+The training/validation/testing split is what was used to train the [BERTu](https://huggingface.co/MLRS/BERTu) model.
+
+### Domain-split data
+
+All other configurations contain a subset of the data.
+For instance, this loads the Wikipedia portion:
+```python
+import datasets
+
+dataset = datasets.load_dataset("MLRS/korpus_malti", "wiki")
+```
+
+For these configurations the data is not shuffled, so the sentence order on a document level is preserved.
+An instance from these configurations would take the following form:
+```json
+{
+  "text": ["Din hija sentenza.", "U hawn oħra!"],
+}
+```
+
+The raw data files contain additional metadata.
+Its structure differs from one instance to another, depending on what's available from the source.
+This information was typically scraped from the source itself & minimal processing is performed on such data.