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---
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 |96.0 |
|qa6 |yes-no-questions |100 |
|qa7 |counting |100 |
|qa8 |lists-sets |95.6 |
|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()
``` |