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Title: GitHub - C4AI/gap-text2sql: GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

Open Graph Title: GitHub - C4AI/gap-text2sql: GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

X Title: GitHub - C4AI/gap-text2sql: GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

Description: GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training - C4AI/gap-text2sql

Open Graph Description: GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training - C4AI/gap-text2sql

X Description: GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training - C4AI/gap-text2sql

Opengraph URL: https://github.com/C4AI/gap-text2sql

X: @github

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https://patch-diff.githubusercontent.com/C4AI/gap-text2sql#mrat-sql-fit---a-multilingual-translator-to-sql-with-database-schema-pruning-to-improve-self-attention
paper published in Springer-Nature - International Journal of Information Technologyhttps://doi.org/10.1007/s41870-023-01342-3
here the SharedIt linkhttps://rdcu.be/dff19
https://patch-diff.githubusercontent.com/C4AI/gap-text2sql#mrat-sqlgap---multilingual-version-of-the-rat-sqlgap
paper published in Springer Lecture Notes in Computer Sciencehttps://link.springer.com/chapter/10.1007%2F978-3-030-91699-2_35
here the pre-print in arXivhttps://arxiv.org/abs/2110.03546
Githubhttps://github.com/awslabs/gap-text2sql
AAAI 2021 paperhttps://arxiv.org/abs/2012.10309
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https://drive.google.com/uc?id=1_AckYkinAnhqmRQtGsQgUKAnTHxxX5J0https://drive.google.com/uc?id=1_AckYkinAnhqmRQtGsQgUKAnTHxxX5J0
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40300https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/BART-large-en-train-model_checkpoint-00040300
ESM all: 0.718 - Baselinehttps://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/BART-large-en-train/spider_eval_match_ratsqlgap-BART-ori-step40300.txt
24100https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/BERTimbau-base-pt-train_model_checkpoint-00024100
ESM all: 0.417https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/BERTimbau-base-pt-train/spider_eval_match_ratsqlgap-bertimbau-base-step24100.txt
23100https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/mBART50MtoM-large-en-train_model_checkpoint-00023100-003
ESM all: 0.651https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mBART50MtoM-large-en-train/spider_eval_match_ratsqlgap-mBART50MtoM-large-en-ori-data-step23100.txt
39100https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/mBART50MtoM-large-pt-train_model_checkpoint-00039100
ESM all: 0.588https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mBART50MtoM-large-pt-train/spider_eval_match_ratsqlgap-mBART50MtoM-largeSimplemmaPtEn-step39100.txt
41000https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/mBART50MtoM-large-en-pt-train_model_checkpoint-00041000
ESM all: 0.664https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mBART50MtoM-large-en-pt-train/41000/spider_eval_match_ratsqlgap-mBART50MtoM-largeSimplemmaPtEn-pt-en-Eval-en-step41000.txt
ESM all: 0.595 Best inferences in Portuguesehttps://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mBART50MtoM-large-en-pt-train/41000/spider_eval_match_ratsqlgap-mBART50MtoM-largeSimplemmaPtEn-pt-en-Eval-pt-step41000.txt
21100https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/mBART50MtoM-large-en-pt-train_model_checkpoint-00021100
ESM all: 0.678 Best inferences in Englishhttps://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mBART50MtoM-large-en-pt-train/21100/spider_eval_match_ratsqlgap-mBART50MtoM-largeSimplemmaPtEn-pt-en-Eval-en-step21100.txt
ESM all: 0.581https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mBART50MtoM-large-en-pt-train/21100/spider_eval_match_ratsqlgap-mBART50MtoM-largeSimplemmaPtEn-pt-en-Eval-pt-step21100.txt
40100https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/BERTimbau-large-pt-train_model_checkpoint-00040100
ESM all: 0.418https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/BERTimbau-large-pt-train/spider_eval_match_ratsqlgap-BERTimbau-large-pt-train-Eval-pt-step40100.txt
39100https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/mBART50MtoM-large-en-pt-es-fr-train_model_checkpoint-00039100
ESM all: 0.696https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mBART50MtoM-large-en-pt-es-fr-train/39100/spider_eval_match_ratsqlgap-mBART50MtoM-large-en-pt-es-fr-train_en-eval-step39100.txt
42100https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/mBART50MtoM-large-en-pt-es-fr-train_model_checkpoint-00042100
ESM all pt: 0.626https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mBART50MtoM-large-en-pt-es-fr-train/42100/spider_eval_match_ratsqlgap-mBART50MtoM-large-en-pt-es-fr-train_pt-eval-step42100.txt
ESM all: 0.628https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mBART50MtoM-large-en-pt-es-fr-train/42100/spider_eval_match_ratsqlgap-mBART50MtoM-large-en-pt-es-fr-train_es-eval-step42100.txt
44100https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/mBART50MtoM-large-en-pt-es-fr-train_model_checkpoint-00044100
ESM all: 0.649https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mBART50MtoM-large-en-pt-es-fr-train/44100/spider_eval_match_ratsqlgap-mBART50MtoM-large-en-pt-es-fr-train_fr-eval-step44100.txt
50100https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/mT5-large-en-train_model_checkpoint-00050100
ESM all: 0.684https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mT5-large-en-train/spider_eval_match_ratsqlgap-mT5-large-en-train_en-eval-step50100.txt
51100https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/mT5-large-en-pt-es-fr-51Ksteps_model_checkpoint-00051100
ESM all: 0.715https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mT5-large-en-pt-es-fr-51Ksteps-train/51100/spider_eval_match_ratsqlgap-mT5-large-NoGAP-en-pt-es-fr-train_en-eval-step51100.txt
42100https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/mT5-large-en-pt-es-fr-51Ksteps_model_checkpoint-00042100
ESM all: 0.680https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mT5-large-en-pt-es-fr-51Ksteps-train/42100/spider_eval_match_ratsqlgap-mT5-large-NoGAP-en-pt-es-fr-train_pt-eval-step42100.txt
50100https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/mT5-large-en-pt-es-fr-51Ksteps_model_checkpoint-00050100
ESM all: 0.660https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mT5-large-en-pt-es-fr-51Ksteps-train/50100/spider_eval_match_ratsqlgap-mT5-large-NoGAP-en-pt-es-fr-train_es-eval-step50100.txt
ESM all: 0.672https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mT5-large-en-pt-es-fr-51Ksteps-train/50100/spider_eval_match_ratsqlgap-mT5-large-NoGAP-en-pt-es-fr-train_fr-eval-step50100.txt
77500https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/mT5-large-en-pt-es-fr-120Ksteps_model_checkpoint-00077500
ESM all: 0.718https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mT5-large-en-pt-es-fr-120Ksteps-train//77500/spider_eval_match_ratsqlgap-mT5-large-NoGAP-en-pt-es-fr-train_Div-en-eval-step77500.txt
85500https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/mT5-large-en-pt-es-fr-120Ksteps_model_checkpoint-00085500
ESM all: 0.675https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mT5-large-en-pt-es-fr-120Ksteps-train//85500/spider_eval_match_ratsqlgap-mT5-large-NoGAP-en-pt-es-fr-train_Div-pt-eval-step85500.txt
76500https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/mT5-large-en-pt-es-fr-120Ksteps_model_checkpoint-00076500
ESM all: 0.675https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mT5-large-en-pt-es-fr-120Ksteps-train//76500/spider_eval_match_ratsqlgap-mT5-large-NoGAP-en-pt-es-fr-train_Div-es-eval-step76500.txt
67500https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/mT5-large-en-pt-es-fr-120Ksteps_model_checkpoint-00067500
ESM all: 0.681https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mT5-large-en-pt-es-fr-120Ksteps-train//67500/spider_eval_match_ratsqlgap-mT5-large-NoGAP-en-pt-es-fr-train_Div-fr-eval-step67500.txt
105100https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/mT5-large-FIT-en-pt-es-fr-120Ksteps_model_checkpoint-00105100
ESM all: 0.735 Best inferences in Englishhttps://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mT5-large-FIT-en-pt-es-fr-120Ksteps-train//105100/spider_eval_match_ratsqlgap-mT5-large-NoGAP-120Ksteps-FIT-en-pt-es-fr_Div-en-eval-step105100.txt
ESM all: 0.736 Best inferences in Englishhttps://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mT5-large-FIT-en-pt-es-fr-120Ksteps-train//105100/0.736/spider_eval_match_ratsqlgap-mT5-large-NoGAP-120Ksteps-FIT-en-pt-es-fr_Div-en-eval-step105100.txt
102100https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/mT5-large-FIT-en-pt-es-fr-120Ksteps_model_checkpoint-00102100
ESM all: 0.687https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mT5-large-FIT-en-pt-es-fr-120Ksteps-train//102100/spider_eval_match_ratsqlgap-mT5-large-NoGAP-120Ksteps-FIT-en-pt-es-fr_Div-pt-eval-step102100.txt
114100https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/mT5-large-FIT-en-pt-es-fr-120Ksteps_model_checkpoint-00114100
ESM all: 0.689https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mT5-large-FIT-en-pt-es-fr-120Ksteps-train//114100/spider_eval_match_ratsqlgap-mT5-large-NoGAP-120Ksteps-FIT-en-pt-es-fr_Div-es-eval-step114100.txt
ESM all: 0.698https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mT5-large-FIT-en-pt-es-fr-120Ksteps-train//114100/spider_eval_match_ratsqlgap-mT5-large-NoGAP-120Ksteps-FIT-en-pt-es-fr_Div-fr-eval-step114100.txt
290100https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/mT5-large-en-pt-es-fr-train-2048TKs-480Ksteps_model_checkpoint-00290100
ESM all: 0.697https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mT5-large-en-pt-es-fr-2048TKs-480Ksteps-train/290100/spider_eval_match_ratsqlgap-mT5-large-2048TKs-en-pt-es-fr_Div-en-eval-step290100.txt
150300https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/T5-v1_1-large-150Ksteps-FIT-en-train_model_checkpoint-00150300
ESM all: 0.736https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/T5-v1_1-large-FIT-en-150Ksteps-train/spider_eval_match_ratsqlgap-T5-v1_1-large-NoGAP-150Ksteps-FIT-en_One-en-eval-step150300.txt
128100https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/mT5-large-150Ksteps-FIT-en-pt-es-fr-extra-3enr-3ptr-3esr-3frr_model_checkpoint-00128100
ESM all: 0.726https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mT5-large-FIT-extra-150Ksteps-train/128100/spider_eval_match_ratsqlgap-mT5-large-NoGAP-150Ksteps-FIT-en-pt-es-fr-extra-3enr-3ptr-3esr-3frr_Div-en-eval-step128100.txt
125100https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/mT5-large-150Ksteps-FIT-en-pt-es-fr-extra-3enr-3ptr-3esr-3frr_model_checkpoint-00125100
ESM all: 0.698https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mT5-large-FIT-extra-150Ksteps-train/125100/spider_eval_match_ratsqlgap-mT5-large-NoGAP-150Ksteps-FIT-en-pt-es-fr-extra-3enr-3ptr-3esr-3frr_Div-pt-eval-step125100.txt
ESM all: 0.700https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mT5-large-FIT-extra-150Ksteps-train/125100/spider_eval_match_ratsqlgap-mT5-large-NoGAP-150Ksteps-FIT-en-pt-es-fr-extra-3enr-3ptr-3esr-3frr_Div-fr-eval-step125100.txt
136100https://huggingface.co/Marchanjo/mRAT-SQL/resolve/main/mT5-large-150Ksteps-FIT-en-pt-es-fr-extra-3enr-3ptr-3esr-3frr_model_checkpoint-00136100
ESM all: 0.691https://github.com/C4AI/gap-text2sql/blob/main/mrat-sql-gap/inference-results/mT5-large-FIT-extra-150Ksteps-train/136100/spider_eval_match_ratsqlgap-mT5-large-NoGAP-150Ksteps-FIT-en-pt-es-fr-extra-3enr-3ptr-3esr-3frr_Div-es-eval-step136100.txt
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