datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
WikiSQL_mtebWikiSQL is a dataset comprising 80,654 hand-annotated examples of natural language questions and corresponding SQL queries across 24,241 tables from Wikipedia.
Usage
import datasets
# Download the dataset
queries = datasets.load_dataset("embedding-benchmark/MBPP", "queries")
documents = datasets.load_dataset("embedding-benchmark/MBPP", "corpus")
pair_labels = datasets.load_dataset("embedding-benchmark/MBPP", "default")
wikiSQL-kk-datasetwikiSQL-ru-datasetWikiSQLWikiSQL is a dataset comprising 80,654 hand-annotated examples of natural language questions and corresponding SQL queries across 24,241 tables from Wikipedia.
Usage
import datasets
# Download the dataset
queries = datasets.load_dataset("embedding-benchmark/WikiSQL", "queries")
documents = datasets.load_dataset("embedding-benchmark/WikiSQL", "corpus")
pair_labels = datasets.load_dataset("embedding-benchmark/WikiSQL", "default")
wiki_sql_pg_convertedRC_WIKISQL_PHI_3
SQL Query Generation Dataset
Description
This dataset contains SQL query templates derived from natural language questions. It is designed to assist in training and evaluating models that convert natural language into SQL queries. The dataset includes a variety of questions, corresponding SQL table schemas, and the generated SQL queries.
Data Fields
question (string): The natural language question for which a SQL query is generated.
context (string): The SQL… See the full description on the dataset page: https://huggingface.co/datasets/rAMNARAY/RC_WIKISQL_PHI_3.