{"task":"Text-To-SQL","dataset":"KaggleDBQA","metric_names":["Exact Match (EM)"],"rows":[{"id":40781,"task":"Text-To-SQL","parent_task":"Semantic Parsing","dataset":"KaggleDBQA","model_name":"RAT-SQL","metrics":{"Exact Match (EM)":"26.77"},"paper_url":"https://arxiv.org/abs/2106.11455v1","paper_title":"KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers","paper_date":"2021-06-22","code_links":[{"title":"saparina/text2sql-nlvariation","url":"https://github.com/saparina/text2sql-nlvariation"},{"title":"chiahsuan156/KaggleDBQA","url":"https://github.com/chiahsuan156/KaggleDBQA"}],"metrics_order":"[\"Exact Match (EM)\"]","area":"Natural Language Processing","uses_additional_data":0,"source":"archive","tags":[]},{"id":40782,"task":"Text-To-SQL","parent_task":"Semantic Parsing","dataset":"KaggleDBQA","model_name":"Edit-SQL","metrics":{"Exact Match (EM)":"11.73"},"paper_url":"https://arxiv.org/abs/2106.11455v1","paper_title":"KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers","paper_date":"2021-06-22","code_links":[{"title":"saparina/text2sql-nlvariation","url":"https://github.com/saparina/text2sql-nlvariation"},{"title":"chiahsuan156/KaggleDBQA","url":"https://github.com/chiahsuan156/KaggleDBQA"}],"metrics_order":"[\"Exact Match (EM)\"]","area":"Natural Language Processing","uses_additional_data":0,"source":"archive","tags":[]},{"id":93806,"task":"Text-To-SQL","parent_task":null,"dataset":"KaggleDBQA","model_name":"RAT-SQL","metrics":{"Exact Match (EM)":"26.77"},"paper_url":"https://arxiv.org/abs/2106.11455v1","paper_title":"KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers","paper_date":"2021-06-22","code_links":[{"title":"saparina/text2sql-nlvariation","url":"https://github.com/saparina/text2sql-nlvariation"},{"title":"chiahsuan156/KaggleDBQA","url":"https://github.com/chiahsuan156/KaggleDBQA"}],"metrics_order":"[\"Exact Match (EM)\"]","area":"Natural Language Processing","uses_additional_data":0,"source":"archive","tags":[]},{"id":93807,"task":"Text-To-SQL","parent_task":null,"dataset":"KaggleDBQA","model_name":"Edit-SQL","metrics":{"Exact Match (EM)":"11.73"},"paper_url":"https://arxiv.org/abs/2106.11455v1","paper_title":"KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers","paper_date":"2021-06-22","code_links":[{"title":"saparina/text2sql-nlvariation","url":"https://github.com/saparina/text2sql-nlvariation"},{"title":"chiahsuan156/KaggleDBQA","url":"https://github.com/chiahsuan156/KaggleDBQA"}],"metrics_order":"[\"Exact Match (EM)\"]","area":"Natural Language Processing","uses_additional_data":0,"source":"archive","tags":[]}]}