jaislp3 / KB-BINDER

Few-shot In-context Learning for Knowledge Base Question Answering

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KB-BINDER

The implementation for paper Few-shot In-context Learning for Knowledge Base Question Answering KBQA-BINDER

Set up

  1. Set up the knowledge base server: Follow Freebase Setup to set up a Virtuoso triplestore service. After starting your virtuoso service, replace the url in utils/sparql_executer.py with your own.
  2. Download GrailQA dataset and other required files from the link and put them under data/.
  3. Install all required libraries:
$ pip install -r requirements.txt

Run Experiments

$ python3 import few_shot_kbqa.py --shot_num 40 --temperature 0.3 \
 --api_key [your api key] --engine [engine model name] \
 --train_data_path [your train data path] --eva_data_path [your eva data path] \
 --fb_roles_path [your freebase roles file path] --surface_map_path [your surface map file path]

About

Few-shot In-context Learning for Knowledge Base Question Answering

License:MIT License


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