I want you to act as a SQL terminal in front of an example database, you need only to return the sql command to me.Below is an instruction that describes a task, Write a response that appropriately completes the request.
"
##Instruction:
candidate_poll contains tables such as candidate, people. Table candidate has columns such as Candidate_ID, People_ID, Poll_Source, Date, Support_rate, Consider_rate, Oppose_rate, Unsure_rate. Candidate_ID is the primary key.
Table people has columns such as People_ID, Sex, Name, Date_of_Birth, Height, Weight. People_ID is the primary key.
The People_ID of candidate is the foreign key of People_ID of people.
" SELECT icao FROM table_name_74 WHERE airport = 'lilongwe international airport' ",# noqa: E501
" SELECT nationality FROM table_name_11 WHERE elector = 'anchero pantaleone' ",
" SELECT one_mora FROM table_name_95 WHERE gloss = 'low tone mora with a gloss of /˩okiru/' [òkìɽɯ́] AND accented_mora = 'low tone mora with a gloss of /˩okiru/' [òkìɽɯ́] ",# noqa: E501
" SELECT sex FROM people WHERE people_id IN (SELECT people_id FROM candidate GROUP BY sex ORDER BY COUNT(people_id) DESC LIMIT 1) ",# noqa: E501
" SELECT pick FROM table_name_60 WHERE former_wnba_team = 'Minnesota Lynx' ",
" SELECT womens_doubles FROM table_28138035_4 WHERE mens_singles = 'Werner Schlager' ",# noqa: E501
"SELECT count(*) FROM candidate",
"SELECT count(*) FROM candidate",
"SELECT poll_source FROM candidate GROUP BY poll_source ORDER BY count(*) DESC LIMIT 1",# noqa: E501
"SELECT poll_source FROM candidate GROUP BY poll_source ORDER BY count(*) DESC LIMIT 1",# noqa: E501
]
MODEL_PATH="meta-llama/Llama-3.2-3B-Instruct"
defdo_sample(
llm:vllm.LLM,
...
...
@@ -32,18 +42,19 @@ def do_sample(
tensorizer_config_dict:dict|None=None,
)->list[str]:
prompts=[
"[user] Write a SQL query to answer the question based on the table schema.\n\n context: CREATE TABLE table_name_74 (icao VARCHAR, airport VARCHAR)\n\n question: Name the ICAO for lilongwe international airport [/user] [assistant]",# noqa: E501
"[user] Write a SQL query to answer the question based on the table schema.\n\n context: CREATE TABLE table_name_11 (nationality VARCHAR, elector VARCHAR)\n\n question: When Anchero Pantaleone was the elector what is under nationality? [/user] [assistant]",# noqa: E501
"[user] Write a SQL query to answer the question based on the table schema.\n\n context: CREATE TABLE table_name_95 (one_mora VARCHAR, gloss VARCHAR, accented_mora VARCHAR)\n\n question: What is the one mora for a low tone mora with a gloss of /˩okiru/ [òkìɽɯ́]? [/user] [assistant]",# noqa: E501
"[user] Write a SQL query to answer the question based on the table schema.\n\n context: CREATE TABLE candidate (people_id VARCHAR, unsure_rate INTEGER); CREATE TABLE people (sex VARCHAR, people_id VARCHAR)\n\n question: which gender got the highest average uncertain ratio. [/user] [assistant]",# noqa: E501
"[user] Write a SQL query to answer the question based on the table schema.\n\n context: CREATE TABLE table_name_60 (pick INTEGER, former_wnba_team VARCHAR)\n\n question: What pick was a player that previously played for the Minnesota Lynx? [/user] [assistant]",# noqa: E501
"[user] Write a SQL query to answer the question based on the table schema.\n\n context: CREATE TABLE table_28138035_4 (womens_doubles VARCHAR, mens_singles VARCHAR)\n\n question: Name the women's doubles for werner schlager [/user] [assistant]",# noqa: E501
PROMPT_TEMPLATE.format(context="How many candidates are there?"),
PROMPT_TEMPLATE.format(context="Count the number of candidates."),
PROMPT_TEMPLATE.format(
context="Which poll resource provided the most number of candidate information?"# noqa: E501
),
PROMPT_TEMPLATE.format(
context="Return the poll resource associated with the most candidates."
Jee Jee Li <pandaleefree@gmail.com>