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Adding the pipeline_tag as Text Generation

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  1. README.md +37 -23
README.md CHANGED
@@ -5,57 +5,71 @@ license: llama2
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  model_creator: NumbersStation
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  model_name: NSQL Llama-2 7B
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  model_type: llama
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- prompt_template: '{prompt}
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-
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  SELECT
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-
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- '
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  quantized_by: TheBloke
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  widget:
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  - example_title: Number stadiums
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- text: "CREATE TABLE stadium (\n stadium_id number,\n location text,\n name\
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- \ text,\n capacity number,\n)\n\n-- Using valid SQLite, answer the following\
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- \ questions for the tables provided above.\n\n-- how many stadiums in total?\n\
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- \nSELECT"
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- - example_title: Open work orders
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- text: 'CREATE TABLE work_orders ( ID NUMBER, CREATED_AT TEXT, COST FLOAT, INVOICE_AMOUNT
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- FLOAT, IS_DUE BOOLEAN, IS_OPEN BOOLEAN, IS_OVERDUE BOOLEAN, COUNTRY_NAME TEXT,
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  )
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- -- Using valid SQLite, answer the following questions for the tables provided
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- above.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  -- how many work orders are open?
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- SELECT'
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  - example_title: Stadium capacity
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- text: 'CREATE TABLE stadium ( stadium_id number, location text, name text, capacity
 
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  number, highest number, lowest number, average number )
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- CREATE TABLE singer ( singer_id number, name text, country text, song_name text,
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- song_release_year text, age number, is_male others )
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- CREATE TABLE concert ( concert_id number, concert_name text, theme text, stadium_id
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- text, year text )
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  CREATE TABLE singer_in_concert ( concert_id number, singer_id text )
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- -- Using valid SQLite, answer the following questions for the tables provided
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- above.
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  -- What is the maximum, the average, and the minimum capacity of stadiums ?
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- SELECT'
 
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  ---
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  <!-- markdownlint-disable MD041 -->
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@@ -475,4 +489,4 @@ print(tokenizer.decode(generated_ids[0], skip_special_tokens=True))
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  For more information (e.g., run with your local database), please find examples in [this repository](https://github.com/NumbersStationAI/NSQL).
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- <!-- original-model-card end -->
 
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  model_creator: NumbersStation
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  model_name: NSQL Llama-2 7B
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  model_type: llama
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+ prompt_template: |
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+ {prompt}
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  SELECT
 
 
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  quantized_by: TheBloke
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  widget:
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  - example_title: Number stadiums
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+ text: >-
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+ CREATE TABLE stadium (
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+ stadium_id number,
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+ location text,
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+ name text,
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+ capacity number,
 
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  )
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+ -- Using valid SQLite, answer the following questions for the tables
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+ provided above.
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+
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+
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+ -- how many stadiums in total?
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+
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+
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+ SELECT
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+ - example_title: Open work orders
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+ text: >-
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+ CREATE TABLE work_orders ( ID NUMBER, CREATED_AT TEXT, COST FLOAT,
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+ INVOICE_AMOUNT FLOAT, IS_DUE BOOLEAN, IS_OPEN BOOLEAN, IS_OVERDUE BOOLEAN,
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+ COUNTRY_NAME TEXT, )
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+
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+
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+ -- Using valid SQLite, answer the following questions for the tables
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+ provided above.
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  -- how many work orders are open?
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+ SELECT
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  - example_title: Stadium capacity
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+ text: >-
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+ CREATE TABLE stadium ( stadium_id number, location text, name text, capacity
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  number, highest number, lowest number, average number )
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+ CREATE TABLE singer ( singer_id number, name text, country text, song_name
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+ text, song_release_year text, age number, is_male others )
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+ CREATE TABLE concert ( concert_id number, concert_name text, theme text,
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+ stadium_id text, year text )
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  CREATE TABLE singer_in_concert ( concert_id number, singer_id text )
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+ -- Using valid SQLite, answer the following questions for the tables
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+ provided above.
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  -- What is the maximum, the average, and the minimum capacity of stadiums ?
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+ SELECT
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+ pipeline_tag: text-generation
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  ---
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  <!-- markdownlint-disable MD041 -->
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  For more information (e.g., run with your local database), please find examples in [this repository](https://github.com/NumbersStationAI/NSQL).
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+ <!-- original-model-card end -->