awslabs/gap-text2sql
GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
This project helps convert natural language questions into executable SQL queries, making it easier to retrieve information from databases without needing to write complex code. You provide a question in plain English and a database schema, and it outputs a precise SQL query. This is useful for data analysts, business intelligence specialists, or anyone who needs to query databases using natural language.
109 stars. No commits in the last 6 months.
Use this if you need to transform plain English questions into exact SQL queries for structured databases, especially when dealing with varied phrasing and complex data relationships.
Not ideal if your primary goal is to answer questions using unstructured text or if you need to query databases that don't have a clear, well-defined schema.
Stars
109
Forks
25
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 20, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/awslabs/gap-text2sql"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
nltk/nltk
NLTK Source
explosion/spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
undertheseanlp/underthesea
Underthesea - Vietnamese NLP Toolkit
stanfordnlp/stanza
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many...
flairNLP/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)