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GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

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I find that the number of the grammar rules is 94 when I follow the instructions to preprocess the data (with the hyper-parameter fs=2). But the size of rule_embedding in...

Hello I would like to insert my own Questions and Databases but when I try to change the Spider json files it get the error: ``` RuntimeError: Error(s) in loading...

Hi, I am facing some issue on identity the "ON clause" from output, Question: List the pilots are from london Result: SELECT pilot.Name FROM pilot JOIN match WHERE match.Location =...

I am new to this, I would like to test Text 2 SQL with my own database. Could anyone share me the steps to convert new database and execute the...

Hi everyone. After training the model in this project it is possible to export to ONNX format suing Pytorch Api.

While executing a natural language query "Birth year of Gina Rinehart", we got the following sql query output. The output sql query is okay, but whenever we are calling any...

Hello, I found the output sql does not contain ON clauses. For example, "question": "Show the stadium name and the number of concerts in each stadium." "predicted": "SELECT stadium.Name, Count(*)...

Can you please let me know how to download the additional 30K data [(Utterance, Schema, SQL) triples] that was used for pretraining? Thanks in Advanced!

The paper mentions the use of a SQL-to-Text and Table-to-Text model to generate synthetic samples for pre-training. I would like to use these models to try generate synthetic training examples...

In the relogic folder, about the tabart-pretraining.py, compare with rat-sql part, I didn't find the specific config file like xx.jsonet. Are the paths of all input data and configuration files...