# Dataset Card for "Llama-2-SQL-and-Code-Dataset"

This dataset is intended to provide LLaMA 2 improved coding and instruction following capabilities, with a specific focus on SQL generation.

The dataset is in Alpaca Instruct format. Please be sure to provide the instruction and input in the prompt to the model, along with any prompt text you would like to place around those inputs.

In the train split, please ignore the table column. The eval split provides example tables so that the actual executable SQL performance can be compared on a number of SQL generation tasks.

To use the tables, they can be loaded as JSON objects and passed to a SQL execution tool such as sqlglot.
region:us
{"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "table", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 46640417, "num_examples": 128351}, {"name": "eval", "num_bytes": 1756894, "num_examples": 1302}], "download_size": 18298063, "dataset_size": 48397311}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "eval", "path": "data/eval-*"}]}]}
TAGS
#region-us 

# Dataset Card for "Llama-2-SQL-and-Code-Dataset"

This dataset is intended to provide LLaMA 2 improved coding and instruction following capabilities, with a specific focus on SQL generation.

The dataset is in Alpaca Instruct format. Please be sure to provide the instruction and input in the prompt to the model, along with any prompt text you would like to place around those inputs.

In the train split, please ignore the table column. The eval split provides example tables so that the actual executable SQL performance can be compared on a number of SQL generation tasks.

To use the tables, they can be loaded as JSON objects and passed to a SQL execution tool such as sqlglot.
# Dataset Card for "Llama-2-SQL-and-Code-Dataset"

This dataset is intended to provide LLaMA 2 improved coding and instruction following capabilities, with a specific focus on SQL generation.

The dataset is in Alpaca Instruct format. Please be sure to provide the instruction and input in the prompt to the model, along with any prompt text you would like to place around those inputs.

In the train split, please ignore the table column. The eval split provides example tables so that the actual executable SQL performance can be compared on a number of SQL generation tasks.

To use the tables, they can be loaded as JSON objects and passed to a SQL execution tool such as sqlglot.
TAGS
#region-us 
 # Dataset Card for "Llama-2-SQL-and-Code-Dataset"

This dataset is intended to provide LLaMA 2 improved coding and instruction following capabilities, with a specific focus on SQL generation.

The dataset is in Alpaca Instruct format. Please be sure to provide the instruction and input in the prompt to the model, along with any prompt text you would like to place around those inputs.

In the train split, please ignore the table column. The eval split provides example tables so that the actual executable SQL performance can be compared on a number of SQL generation tasks.

To use the tables, they can be loaded as JSON objects and passed to a SQL execution tool such as sqlglot.
passage: TAGS
#region-us 
# Dataset Card for "Llama-2-SQL-and-Code-Dataset"

This dataset is intended to provide LLaMA 2 improved coding and instruction following capabilities, with a specific focus on SQL generation.

The dataset is in Alpaca Instruct format. Please be sure to provide the instruction and input in the prompt to the model, along with any prompt text you would like to place around those inputs.

In the train split, please ignore the table column. The eval split provides example tables so that the actual executable SQL performance can be compared on a number of SQL generation tasks.

To use the tables, they can be loaded as JSON objects and passed to a SQL execution tool such as sqlglot.