Create README.md

README.md

@@ -0,0 +1,52 @@
+---
+datasets:
+- facebook/babi_qa
+---
+Fine tune and evaluate transformer model on facebook's bAbi tasks.
+> [Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks](https://arxiv.org/abs/1502.05698)
+
+Training Code: [p208p2002/bAbi-tasks-with-transformer-model](https://github.com/p208p2002/bAbi-tasks-with-transformer-model)
+
+|task_no|task_name             |score|
+|-------|----------------------|-----|
+|qa1    |single-supporting-fact|100  |
+|qa2    |two-supporting-facts  |99.4 |
+|qa3    |three-supporting-facts|62.0 |
+|qa4    |two-arg-relations     |100  |
+|qa5    |three-arg-relations   |96.5 |
+|qa6    |yes-no-questions      |100  |
+|qa7    |counting              |100  |
+|qa8    |lists-sets            |99.8 |
+|qa9    |simple-negation       |100  |
+|qa10   | indefinite-knowledge |100  |
+|qa11   | basic-coreference    |100  |
+|qa12   | conjunction          |100  |
+|qa13   | compound-coreference |100  |
+|qa14   | time-reasoning       |100  |
+|qa15   | basic-deduction      |100  |
+|qa16   | basic-induction      |100  |
+|qa17   | positional-reasoning |100  |
+|qa18   | size-reasoning       |100  |
+|qa19   | path-finding         |100  |
+|qa20   | agents-motivations   |100  |
+
+```python
+# Please use with the follow template
+
+INPUT_TEMPLATE = """
+Context:
+{context}
+
+Question:
+{question}
+
+Answer:
+{answer}
+"""
+
+input_text = INPUT_TEMPLATE.format_map({
+    "context":context,
+    "question":question,
+    "answer":answer
+}).strip()
+```