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Official Code of "STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases"

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Initially I thought it is "qualified product ids", then I realize the query id is also in the list. e.g. 334460,What are some Tercel women's cycling gloves made in China...

Hi, you mentioned that Python 3.8 is required. I tried this on my mac + conda I got an error ` ERROR: Ignored the following versions that require a different...

question

During my exploration of the STaRK-Prime dataset, I looked into a few questions (human-generated ones specifically). I've discovered a couple of answers that I find strange, where the answer to...

Hi , Could you help us to check why the answer id in Amazon is not the the provided amazon KG file? for example, answer id 16. ![image](https://github.com/snap-stanford/stark/assets/33856565/e2176da2-24ae-4c3d-ac1c-a10469083d95) thanks!

I am trying to implement the avatar paper, but i run into the following error during the same: ImportError: cannot import name 'get_openai_embedding' from 'stark_qa.tools' The documentation mentions of stark_qa.tools.api....

It appears that `bm25s` is used in requirements.txt. However, in the readme, it recommends to use `pip install bm25` instead of `pip install bm25s`, so I updated the readme to...

What a great benchmark! I have a problem about the recall@20 metric. In the article, you said that recall@k = 20 is used, and the VSS + LLM Reranker baseline...