Update README.md

README.md

@@ -42,7 +42,11 @@ pretty_name: multi3-nlu
 
 
 ### Dataset Summary
-Please note the dataset is not being loaded currently in the dataset loader - but you can access the raw files of the dataset in the folder where the dataset gets downloaded. We will fix this ASAP. 
+Please access the dataset using 
+```
+git clone https://huggingface.co/datasets/uoe-nlp/multi3-nlu/
+
+```
 
 Multi<sup>3</sup>NLU++ consists of 3080 utterances per language representing challenges in building multilingual multi-intent multi-domain task-oriented dialogue systems. The domains include banking and hotels. There are 62 unique intents. 
 
@@ -139,7 +143,15 @@ We have carefully vetted the examples to exclude the problematic examples.
 The dataset comprises utterances extracted from real dialogues between users and conversational agents as well as synthetic human-authored utterances constructed with the aim of introducing additional combinations of intents and slots. The utterances therefore lack the wider context that would be present in a complete dialogue. As such the dataset cannot be used to evaluate systems with respect to discourse-level phenomena present in dialogue.
 
 ## Additional Information
-N/A
+Baseline models:
+Our MLP and QA models are based on the huggingface transformers library. 
+### QA
+We use the following code snippet for our QA experiments. Please refer to the paper for more details
+
+```
+https://github.com/huggingface/transformers/blob/main/examples/pytorch/question-answering/run_qa.py
+python run_qa.py config_qa.json
+```
 
 ### Licensing Information