# Dataset Card for "sql-create-context_alpaca_style"

We provide a minor modification of the [sql-create-context](https://huggingface.co/datasets/b-mc2/sql-create-context) dataset. In particular, we 1) prepend each instruction with the phrase, "Write a SQL query that answers the following question: " and 2) prepend each context with the phrase, "The relevant table was constructed using the following SQL CREATE TABLE statement: ".

## Numbers:

Prompts: 78577

Tokens: 6438971 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)
region:us
{"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 28203562.0, "num_examples": 78577}], "download_size": 9312899, "dataset_size": 28203562.0}}
TAGS
#region-us 

# Dataset Card for "sql-create-context_alpaca_style"

We provide a minor modification of the sql-create-context dataset. In particular, we 1) prepend each instruction with the phrase, "Write a SQL query that answers the following question: " and 2) prepend each context with the phrase, "The relevant table was constructed using the following SQL CREATE TABLE statement: ".

## Numbers:

Prompts: 78577

Tokens: 6438971 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)
# Dataset Card for "sql-create-context_alpaca_style"

We provide a minor modification of the sql-create-context dataset. In particular, we 1) prepend each instruction with the phrase, "Write a SQL query that answers the following question: " and 2) prepend each context with the phrase, "The relevant table was constructed using the following SQL CREATE TABLE statement: ". ## Numbers:

Prompts: 78577

Tokens: 6438971 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)
TAGS
#region-us 
 # Dataset Card for "sql-create-context_alpaca_style"

We provide a minor modification of the sql-create-context dataset. In particular, we 1) prepend each instruction with the phrase, "Write a SQL query that answers the following question: " and 2) prepend each context with the phrase, "The relevant table was constructed using the following SQL CREATE TABLE statement: ". ## Numbers:

Prompts: 78577

Tokens: 6438971 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)
passage: TAGS
#region-us 
# Dataset Card for "sql-create-context_alpaca_style"

We provide a minor modification of the sql-create-context dataset. In particular, we 1) prepend each instruction with the phrase, "Write a SQL query that answers the following question: " and 2) prepend each context with the phrase, "The relevant table was constructed using the following SQL CREATE TABLE statement: ".## Numbers:

Prompts: 78577

Tokens: 6438971 using the EleutherAI/gpt-neox-20b tokenizer (counting instruction+input+output)