---
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()
```