JackyChunKit/Qwen3_SFT_Post huggingface dataset:
Task: Query_Product_Rank

system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively. 
Below is an instruction that describes a task. After thinking, when you finally reach a conclusion based on the customer's intention, desire and belief, clearly state the BDI thinking process within <think> </think> and then the answer within <answer> </answer> tags.


user 
Instruction: Evaluate the relevance of each product title in the input to the given query, and then sort the products in descending order of relevance, placing the most relevant product at the top of the ranked list.

Input:
Query: twin xl comforter sets for college girls
Product list:
A: Bedsure Twin XL Mattress Pad Deep Pocket - Quilted Mattress Cover Extra Long for College Dorm PillowTop Hospital Mattress Protector, Fitted Sheet Mattress Cover, 39x80 inches, White
B: Kids Zone Home Linen Bedspread Set Floral Pattern Blue Beige Off White New (Twin/Twin Extra Long)
C: Bare Home Reversible Bedding Set 4 Piece Comforter & Sheet Set - Twin Extra Long - Down Alternative - Soft - Bedding Set (Twin XL, Dark Blue/Grey, Dark Blue)


assistant
Answer: C,A,B
Task: Query_Product_Rank

system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively. 
Below is an instruction that describes a task. After thinking, when you finally reach a conclusion based on the customer's intention, desire and belief, clearly state the BDI thinking process within <think> </think> and then the answer within <answer> </answer> tags.


user 
Instruction: Given a query and a list of products denoted as A, B, C, ... with their titles, rank the products according to their relevance to the query. Output only a ranked list in which the most relevant product is at the top of the list.

Input:
Query: iphone 7 headphones
Product list:
A: Headphones for i Phone i Pad, Phone 11 Headphones Wired in Ear Magnetic Earbuds with Mic & Volume Control, Phone xr Headphones Compatible with iPhone X,XS,XS MAX,XR,8,8P,7/7P,iPad Pro,iPad Air,iPad
B: Apple Lightning to 3.5 mm Headphone Jack Adapter


assistant
Answer: A,B
Task: Query_Product_Rank

system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively. 
Below is an instruction that describes a task. After thinking, when you finally reach a conclusion based on the customer's intention, desire and belief, clearly state the BDI thinking process within <think> </think> and then the answer within <answer> </answer> tags.


user 
Instruction: Analyze the query and each product title. Sort the products in descending order based on their relevance to the query. The most relevant product should be at the top of the list, and output the ranked list.

Input:
Query: boys sneakers
Product list:
A: adidas unisex child Grand Court - Kids Sneaker, White/Black/White, 2.5 Little Kid US
B: New Balance Kid's Fresh Foam Arishi V3 Hook and Loop Running Shoe, Black/Lemon Slush/Neo Flame, 13.5 W US Little Kid


assistant
Answer: A,B
Task: Query_Product_Rank

system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively. 
Below is an instruction that describes a task. After thinking, when you finally reach a conclusion based on the customer's intention, desire and belief, clearly state the BDI thinking process within <think> </think> and then the answer within <answer> </answer> tags.


user 
Instruction: Given a query and a list of products denoted as A, B, C, ... with their titles, rank the products according to their relevance to the query. Output only a ranked list in which the most relevant product is at the top of the list.

Input:
Query: hair dye white permanent
Product list:
A: Il Salone Milano The Legendary Collection Alfaparf Group Permanent Hair Color Cream - 10.1 Very Light Iced Blonde Hair Dye - Professional Salon - Premium Quality - 100% Gray Coverage - Paraben Free - Ethyl Alcohol Free - Moisturizing Oils
B: Garnier Hair Color Nutrisse Ultra Color Nourishing Hair Color Creme, Mascarpone Creme Pl2, Pack of 1
C: Herbatint Permanent Haircolor Gel, 10N Platinum Blonde, 4.56 Ounce


assistant
Answer: A,B,C
Task: Query_Product_Rank

system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively. 
Below is an instruction that describes a task. After thinking, when you finally reach a conclusion based on the customer's intention, desire and belief, clearly state the BDI thinking process within <think> </think> and then the answer within <answer> </answer> tags.


user 
Instruction: Given a query and a list of products denoted as A, B, C, ... with their titles, rank the products according to their relevance to the query. Output only a ranked list in which the most relevant product is at the top of the list.

Input:
Query: ezgo txt front seat replacement
Product list:
A: Madjax Front Seat Cover Black for Ezgo TXT RXV 1995-Up
B: MODZ FC2 EZGO TXT Custom Front Seat Covers - Black/Black
C: Parts Direct EZGO TXT Golf Cart TAN Replacement Bottom Seat Cushion 1994-2013


assistant
Answer: B,A,C
Task: Product_Substitute_Identification

system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively. 
Below is an instruction that describes a task. After thinking, when you finally reach a conclusion based on the customer's intention, desire and belief, clearly state the BDI thinking process within <think> </think> and then the answer within <answer> </answer> tags.


user 
Instruction: Check if a product can function as a substitute for a given query, even if it doesn't fully meet all requirements. Output yes if it can or no otherwise.

Input:
Query: high waisted distressed jean shorts for women
Product: SIAEAMRG Women's Juniors Denim Shorts, High Waisted Frayed Raw Hem Tassels Short Pants Jeans (Blue, XL)


assistant
Answer: yes
Task: Sentiment_Analysis

system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively. 
Below is an instruction that describes a task. After thinking, when you finally reach a conclusion based on the customer's intention, desire and belief, clearly state the BDI thinking process within <think> </think> and then the answer within <answer> </answer> tags.


user 
Instruction: Determine the sentiment expressed by the user in her review from the provided choices, and respond by selecting one of the available options.

Input:
User Review: This headset works great, for a landline phone connect,as a headset, and this price was fantastic and arrived quickly. Put the phone in your pocket, and do those dishes while holding for customer service. LOL

Options:
A: very positive
B: positive
C: neutral
D: negative
E: very negative


assistant
Answer: B: positive
Task: Query_Product_Rank

system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively. 
Below is an instruction that describes a task. After thinking, when you finally reach a conclusion based on the customer's intention, desire and belief, clearly state the BDI thinking process within <think> </think> and then the answer within <answer> </answer> tags.


user 
Instruction: Analyze the query and each product title. Sort the products in descending order based on their relevance to the query. The most relevant product should be at the top of the list, and output the ranked list.

Input:
Query: , rotating extended fans not a ceiling fan
Product list:
A: Minka-Aire F524-WHF Roto 52 Inch Ceiling Fan 3 Blades in Flat White Finish
B: Minka-Aire F1000-BN Dyno 52 Inch Indoor Ceiling Fan with Integrated LED 16W Dimmable Light in Brushed Nickel Finish and Medium Maple/Dark Walnut Reversible Blades
C: Minka-Aire F518L-WH, Concept II LED White Flush Mount 44" Ceiling Fan with Light & Remote Control
D: Minka-Aire F547-ORB Contractor 52 Inch Pull Chain Ceiling Fan in Oil Rubbed Bronze Finish


assistant
Answer: A,C,B,D
Task: Query_Product_Rank

system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively. 
Below is an instruction that describes a task. After thinking, when you finally reach a conclusion based on the customer's intention, desire and belief, clearly state the BDI thinking process within <think> </think> and then the answer within <answer> </answer> tags.


user 
Instruction: Given a query and a list of products denoted as A, B, C, ... with their titles, rank the products according to their relevance to the query. Output only a ranked list in which the most relevant product is at the top of the list.

Input:
Query: doll clothes storage
Product list:
A: Brittany's American 24 Pack 12 Pink 12 Purple Plastic Doll Hangers Fits 18 Inch Doll Clothes
B: Tara Toys Barbie Store It All - Pink (12305)
C: Child Garment Rack- Kids Closet Organizer- with Accessory Keepers (American Girl Doll Storage System)
D: mDesign Soft Stackable Fabric Closet Storage Organizer Holder Box - Clear Window, Attached Lid, for Child/Kids Room, Nursery - Polka Dot Print - 2 Pack - Wisteria/Light Purple


assistant
Answer: B,D,A,C
Task: Query_Product_Rank

system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively. 
Below is an instruction that describes a task. After thinking, when you finally reach a conclusion based on the customer's intention, desire and belief, clearly state the BDI thinking process within <think> </think> and then the answer within <answer> </answer> tags.


user 
Instruction: Evaluate each product title in the given list, assess its relevance to the given query, and then arrange the products in descending order of relevance, with the most relevant product at the top of the ranked list.

Input:
Query: morphy richards
Product list:
A: Philips Soup and Smoothie Maker, Makes 2-4 servings, HR2204/70, 1.2 Liters, Black and Stainless Steel
B: Westinghouse 220v Iron 2500 watts with Steam & Auto Shut Off 220  240 Volts 50/60 hz Bundle with Dynastar Plug Adapter (NOT for USA)


assistant
Answer: B,A
Task: Query_Product_Rank

system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively. 
Below is an instruction that describes a task. After thinking, when you finally reach a conclusion based on the customer's intention, desire and belief, clearly state the BDI thinking process within <think> </think> and then the answer within <answer> </answer> tags.


user 
Instruction: Evaluate the relevance of each product title in the input to the given query, and then sort the products in descending order of relevance, placing the most relevant product at the top of the ranked list.

Input:
Query: small office chair without wheels
Product list:
A: Volans Modern Mid Century Swivel Faux Leather Home Office Chair No Wheels with Arms for Small Space Living Room Bedroom Desk, White
B: Waleaf Office Ergonomic Mesh Chair , Computer Armless Desk Chair, Mid Back Swivel Chair with Adjustable Height Lumbar Support for Adults Kids, Home Task Chair without Armrests for Small Spaces (White)
C: Replacement Office Chair or Stool Bell Glides - High Profile (5 Pack) - S0007
D: Ergonomic Desk Chair Mid Back Mesh Chair Height Adjustable Office Chair, Home Office Chair Modern Task Computer Chair No Armrest Executive Rolling Swivel Chair with Casters, Black


assistant
Answer: A,D,C,B
Task: Multiclass_Product_Classification

system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively. 
Below is an instruction that describes a task. After thinking, when you finally reach a conclusion based on the customer's intention, desire and belief, clearly state the BDI thinking process within <think> </think> and then the answer within <answer> </answer> tags.


user 
Instruction: Analyze the query and product title to determine the relevance between the query and product, and select the appropriate option from the provided options.

Input:
Query: us womens national soccer team
Product: WinCraft Soccer US Soccer - National Team Lanyard with Detachable Buckle, 3/4"

Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.


assistant
Answer: D: The product is irrelevant to the query.
Task: Query_Product_Rank

system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively. 
Below is an instruction that describes a task. After thinking, when you finally reach a conclusion based on the customer's intention, desire and belief, clearly state the BDI thinking process within <think> </think> and then the answer within <answer> </answer> tags.


user 
Instruction: Rank the products A, B, C, ... based on their relevance to the provided query, and produce a ranked list with the most relevant product positioned at the top of the list.

Input:
Query: patriotic wreath
Product list:
A: Gbell 5Pc 12 Inch Glow LED Balloons Flash Light Ball - Latex LED Lamp Lantern Balloons - Cocktail Evening Party Supplies - Birthday Party Decor ,Bachelorette Party Balloons, Blue Green Red (Green)
B: Butterick 6053 Sewing Pattern Christmas Ornaments Wreath Cardholder Stocking
C: 2019 Christmas Tree Metal Die Cutting Dies Handmade Stencils Template Embossing for Card Scrapbooking Craft Paper Decor by E-Scenery


assistant
Answer: C,B,A
Task: Multiclass_Product_Classification

system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively. 
Below is an instruction that describes a task. After thinking, when you finally reach a conclusion based on the customer's intention, desire and belief, clearly state the BDI thinking process within <think> </think> and then the answer within <answer> </answer> tags.


user 
Instruction: Evaluate the relevance between the query and product title, and choose the most accurate option from the given options.

Input:
Query: womens cute tights
Product: akiido Fishnet Stockings Fishnet Tights Thigh High Stockings Pantyhose High Waist Tights

Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.


assistant
Answer: B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
Task: Query_Product_Rank

system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively. 
Below is an instruction that describes a task. After thinking, when you finally reach a conclusion based on the customer's intention, desire and belief, clearly state the BDI thinking process within <think> </think> and then the answer within <answer> </answer> tags.


user 
Instruction: Analyze the query and each product title. Sort the products in descending order based on their relevance to the query. The most relevant product should be at the top of the list, and output the ranked list.

Input:
Query: white claw
Product list:
A: NuffSaid Ain't_No_Laws_When_You're_Drinking_with_Claus T-Shirt - Funny_Hard_Seltzer Tee White
B: White Claw Hard Seltzer Promotional Items Collection
C: BruMate Hopsulator Slim Double-walled Stainless Steel Insulated Can Cooler for 12 Oz Slim Cans (Blush)
D: White Claw Double-Sided Pub Sign


assistant
Answer: D,C,B,A
Task: Multiclass_Product_Classification

system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively. 
Below is an instruction that describes a task. After thinking, when you finally reach a conclusion based on the customer's intention, desire and belief, clearly state the BDI thinking process within <think> </think> and then the answer within <answer> </answer> tags.


user 
Instruction: Analyze the query and product title to determine the relevance between the query and product, and select the appropriate option from the provided options.

Input:
Query: a civil action
Product: 500 Years

Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.


assistant
Answer: D: The product is irrelevant to the query.
Task: Query_Product_Rank

system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively. 
Below is an instruction that describes a task. After thinking, when you finally reach a conclusion based on the customer's intention, desire and belief, clearly state the BDI thinking process within <think> </think> and then the answer within <answer> </answer> tags.


user 
Instruction: Rank the products A, B, C, ... based on their relevance to the provided query, and produce a ranked list with the most relevant product positioned at the top of the list.

Input:
Query: yoga mat black and white
Product list:
A: Gaiam Athletic Yoga Series dynaMAT Xtra-Wide Mat, Black/Gray, 5mm
B: Keolorn Non-Slip Yoga Mat Eco Friendly Exercise & Workout Mat for Women for Home, Pilates and Floor Exercises in White
C: Durable Yoga Mat Harness Strap Sling, Yoga Mat Carrying Strap - Black/White


assistant
Answer: B,A,C
Task: Product_Substitute_Identification

system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively. 
Below is an instruction that describes a task. After thinking, when you finally reach a conclusion based on the customer's intention, desire and belief, clearly state the BDI thinking process within <think> </think> and then the answer within <answer> </answer> tags.


user 
Instruction: Check if a product can function as a substitute for a given query, even if it doesn't fully meet all requirements. Output yes if it can or no otherwise.

Input:
Query: wine bottle labels love
Product: 50th Birthday Wine Labels Set, Pink, Black, Gold, Happy 50 Birthday Gift Wine Bottle Stickers, 6-Pack


assistant
Answer: yes
Task: Query_Product_Rank

system
You are a helpful assistant. The assistant first thinks about the reasoning process in the mind by using Belief-Desire-Intention (BDI) framework and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively. 
Below is an instruction that describes a task. After thinking, when you finally reach a conclusion based on the customer's intention, desire and belief, clearly state the BDI thinking process within <think> </think> and then the answer within <answer> </answer> tags.


user 
Instruction: Analyze the query and each product title. Sort the products in descending order based on their relevance to the query. The most relevant product should be at the top of the list, and output the ranked list.

Input:
Query: bose surround speakers
Product list:
A: Bose Bass Module 500, Black
B: Bose Solo 5 TV Soundbar Sound System with Universal Remote Control, Black
C: Bose Soundbar 500 with Alexa voice control built-in, Black


assistant
Answer: C,B,A