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lihaoyang-ruc avatar lihaoyang-ruc commented on August 26, 2024

Hello,

This paper is presently undergoing the peer review process. To maintain the integrity of the double-blind review system, we have temporarily concealed it. Please don't worry, both the paper and the associated project will be made publicly available and open-sourced once the review is complete. We appreciate your patience and encourage you to stay tuned for updates.

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kanseaveg avatar kanseaveg commented on August 26, 2024

ok. I'm looking forawrd to.

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lihaoyang-ruc avatar lihaoyang-ruc commented on August 26, 2024

ok. I'm looking forawrd to.

@kanseaveg

We will be open-sourcing a text2sql demo, which has been developed based on our CodeS model. To get a firsthand experience of its capabilities, you are warmly invited to try it out at: http://101.43.153.141:5000/chatbot

Please stay tuned, as we will be releasing the source code for the demo later this week.

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kanseaveg avatar kanseaveg commented on August 26, 2024

excellent works, thank you! I will give a try.
You are truly a meticulous person, and your code is very clear and concise.
@lihaoyang-ruc

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lihaoyang-ruc avatar lihaoyang-ruc commented on August 26, 2024

Thank you🤗

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kanseaveg avatar kanseaveg commented on August 26, 2024

image
good job!
well done!
🤗🤗🤗

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lihaoyang-ruc avatar lihaoyang-ruc commented on August 26, 2024

@kanseaveg
Hello! Our demo is readily available for access and exploration at https://github.com/RUCKBReasoning/text2sql-demo. We encourage you to utilize it in building your text-to-SQL applications. Please note that this work is completely open-source for academic purposes. Feel free to dive in!

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kanseaveg avatar kanseaveg commented on August 26, 2024

@lihaoyang-ruc Good job, I'll give it a try🤗🤗🤗
By the way, how's your performance on the Chinese dataset compares to GPT's text-to-sql capabilities?
Aside from Bird, have you guys tested CodeS in CSpider?

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lihaoyang-ruc avatar lihaoyang-ruc commented on August 26, 2024

Given that CodeS primarily operates as an English language model, it might not capture the full range of common Chinese characters, leading to the tokenization of numerous Chinese characters as <UNKNOWN>.

To address this in our demo, we have integrated a translation tool to convert non-English user queries into English.

While this approach might lack a certain elegance, it has demonstrated efficacy in our preliminary tests.

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