Update README.md

README.md

@@ -1,3 +1,23 @@
----
-license: eupl-1.1
----
+---
+license: eupl-1.1
+language:
+- nl
+tags:
+- documents
+- fine-tuning
+size_categories:
+- 10K<n<100K
+---
+
+This dataset is used in the Woo-document classification project from the Municipality of Amsterdam. 
+The goal of this dataset is to fine-tune LLMs. The documents are formatted into a zero-shot prompt and then turned into conversations, 
+where the ideal response of the model is the prediction (class) formatted into JSON format. 
+
+
+Specifics:
+- Truncation: first 200 tokens of each document. Docs are tokenized using the Llama tokenizer.
+- Data split:
+  - test set: first 100 docs of each class (in total 1100 docs)
+  - train set: remaining docs, with max of 1500 docs per class (11000 docs)
+    - train set: 90% of train set is used for fine-tuning model (9900 docs)
+    - val set: 10% of train segt is used for evaluating the loss during training (1100 docs)