Comments (9)
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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ok. I'm looking forawrd to.
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ok. I'm looking forawrd to.
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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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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Thank you🤗
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@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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@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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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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Related Issues (20)
- Cspider不加natsql训练步骤,运行到第二步的时候报错:RuntimeError: input must have 3 dimensions, got 2 HOT 3
- nltk_downlader里面下载的内容有用到吗? HOT 1
- 请问如果要自己准备dataset做训练或者测试,有什么格式要求吗? HOT 5
- XLM-ROBERTA-LARGE做分类的模型如何多卡运行? HOT 2
- How can we optimize the Model Inference time. Single NLQ taking more than a 45seconds. HOT 1
- natsql是如何转换的?如何取骨架? HOT 1
- Low training metrics HOT 14
- Support for Historical Conversation in RESDSQL HOT 4
- Question about evaluation scripts HOT 2
- 请问推理方法 HOT 2
- 最低支持的GPU内存是多少,我怎么跑不起来。
- Dev result file?
- 部分带有别名的sql在经过normalization处理后出现错误 HOT 2
- Inference script not working HOT 5
- CoSQL HOT 1
- 训练Cross-Encoder的时候为什么24G的显存还不够用? HOT 1
- 关于RESDSQL在BIRD上的运行时间 HOT 2
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