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: 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: steering wheel covers cheetah print
Product list:
A: KAFEEK Elastic Long Microfiber Plush Steering Wheel Cover for Winter Warm , Universal 15 inch, Anti-Slip, Odorless, Leopard Gray
B: Bell Automotive 22-1-53183-A Universal Cheetah Plush Steering Wheel Cover
C: BLVD-LPF OBEY YOUR LUXURY Popular Bling 7 Row Crystal Metal Chrome License Plate Frame with Screw Caps (1, Brown Leopard)


assistant
Answer: B,A,C
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 assess the level of relevance between them, and then output the corresponding option that best describes this relevance.

Input:
Query: thumb print kit
Product: Identicator Fingerprint Systems Cardholder

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: 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: watch for working out
Product list:
A: As Seen On TV Slim Cycle Stationary Bike by Bulbhead, Most Comfortable Exercise Machine, Thick, Extra-Wide Seat & Back Support Cushion, Recline or Upright Position, Twice the Results in Half the Time
B: Laffav Sport Band Compatible with Apple Watch Band 40mm 38mm Series 4 5 3 2 1 Soft Silicone Replacement Wristband for iWatch Band 38mm Womens Men, White, Pink, Pebble, 3Pack, M/L
C: Bling-ed Out Oblong Metal Mens Color on Blast Watch - 8475Color (Silver)
D: Willful Fitness Tracker,Fitness Watch Waterproof Heart Rate Monitor Activity Tracker Pedometer Watch with Step Counter,Calories,Sleep Monitor,Alarm Clock,Call SMS SNS Notice for Men Women Kids


assistant
Answer: D,C,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: 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: christmas iphone x case smooth
Product list:
A: Salawat Compatible iPhone Xr Case, Clear iPhone Xr Case Cute Anti Scratch Slim Phone Case Cover Reinforced Corners TPU Bumper Shockproof Protective Case for iPhone Xr 6.1inch 2018 (Blue Purple)
B: YINLAI iPhone Xs Case, iPhone X Case Slim Hybrid Dual Layer TPU Bumper Hard PC Cover with Carbon Fiber Texture Faux Leather Shockproof Anti-Slip Protective Phone Cases for Boys Men iPhone X/XS Black
C: iPhone X Case, iPhone Xs Case, iYCK Hard Back Panel and Soft Rubber TPU Bumper Flowing Floating Liquid Infused Quicksand Bling Glitter Sparkle Protective Case Cover for Apple iPhone X/Xs 5.8inch - App


assistant
Answer: B,C,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: 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: sleepless in southampton book
Product list:
A: 51 Sleepless Nights: 50+ Monsters, Murders, Demons, and Ghosts. Short Horror Stories and Legends.
B: Murderers In California: The Unforgettable True Stories of Compulsive Serial Killers On the West Coast (Murderers Everywhere Book 2)
C: A Worm in the Bud


assistant
Answer: B,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: 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: toy story alien costume
Product list:
A: Marery 1 pcs Novelty New Toy Story Alien EARS COSTUME Plush HEADBAND ADULT OR CHILD Party Cosplay Gift
B: Disney Toy Story Pizza Planet Flyer Men's Adult Graphic Tee T-Shirt (Grey Heather, Large)
C: Disney Pixar Toy Story Alien Face Halloween Graphic T-Shirt


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: 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: trampolines without enclosures
Product list:
A: Sportspower Outdoor 15ft Trampoline with Enclosure Net, Blue
B: Kalkal Trampline for Kids, 12' Trampoline with Enclosure Net, Safety Jump Recreational Outdoor Trampoline for Children Teens Adults
C: Zupapa 15 14 12 10 8FT Trampoline for Kids with Safety Enclosure Net 425LBS Weight Capacity Outdoor Backyards Trampolines with Non-Slip Ladder All Accessories for Children Adults Family(15FT Blue)


assistant
Answer: B,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: 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: airpod pro without charging case
Product list:
A: (Renewed) Apple AirPods Pro
B: Airpods Pro Case Cover, [Secure Lock] Olytop AirPods Pro Case for Apple Airpods Pro Armor Airpod Pros Case for Men Full-Body Rugged Shockproof Cool Protective Case Skin with Carabiner - Black
C: BRG Compatible with Airpods Pro Case,Soft Silicone Skin Case Cover Shock-Absorbing Protective Case with Keychain [Front LED Visible] (Black)
D: (Renewed) Apple AirPods 2 with Charging Case - White


assistant
Answer: B,D,C,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 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: yeti tall thin can cooler
Product list:
A: YETI Rambler 10 oz Stackable Mug, Stainless Steel, Vacuum Insulated with Standard Lid, White
B: YETI Rambler 10 oz Lowball, Vacuum Insulated, Stainless Steel with Standard Lid, LE Coral
C: YETI Rambler 10 oz Wine Tumbler, Vacuum Insulated, Stainless Steel with MagSlider Lid, White
D: YETI Replacement MagSliders, 3 Pack, Core Colors


assistant
Answer: A,B,D,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: Assess the relevance of a product to a given query by determining if it can function as a substitute, despite not fully meeting certain aspects of the query. Provide a binary output of yes or no based on this evaluation.

Input:
Query: burgundy plastic forks
Product: Plastic Silverware | Heavy Duty & Solid Cutlery Disposable Utensils Set | Perfect for Weddings, Buffets, Luncheon, Birthdays, & More | Pack of 150 Silver Plastic Forks


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: 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: power plug flat adapter
Product list:
A: USB Wall Charger, Surge Protector, POWRUI 6-Outlet Extender with 2 USB Charging Ports (2.4A Total) and Night Light, 3-Sided Power Strip with Adapter Spaced Outlets - White,ETL Listed
B: ALLWEI International Travel Adapter 220V to 110V Step Down Power Voltage Converter for Hair Straightener/Curling Iron, Universal Power Plug Adapter UK, US, AU, EU, IT, India ...
C: Unidapt EU Europe to US USA Travel Plug Adapter Power Converter AC (Pack of 2)


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: 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: ball balance game
Product: STOBOK Classic Wooden Games Floating Blow Pipe Balls Balance Blowing Toys Fun Stress Reliever for Kids Children Toddler

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: 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: legend of zelda cosplay
Product list:
A: Ya-cos Link Cosplay Hooded Hyrule Warriors Zipper Coat Jacket Green
B: Legend of Zelda Umbrella Legend of Zelda Umbrella Link Umbrella Zelda Accessory
C: Legend of Zelda Link Backpack Oxford Cloth Mix Large Capacity Cosplay Durable Travel School Bag
D: miccostumes Women's Gerudo Link Costume Cosplay Outfit Halloween(L)


assistant
Answer: A,D,B,C
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: What is the relevance between the query and the product title below? Answer from one of the options.

Input:
Query: seven shampoo violet
Product: SEVEN Kente Bond Shampoo, 2 Fl Oz

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: 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: Given the user's review, identify the user's sentiment from the listed options. Answer using one of the options.

Input:
User Review: Probably should have paid more attention to the size, but this knife is pretty small. Other than that, I have no complaints. Fast opening (although doesn't always lock closed...sometimes I have to push it a little further to lock it) and sharp

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


assistant
Answer: C: neutral
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: 12x16 shed plans with garage door
Product list:
A: Fiberglass Magnetic Garage Screen Door - Double 16x7ft (2 car) Hands Free Mesh Screen Door,DIY Retractable Garage Door Screen with 4 Roll Up Starps,Easy to Install
B: Household Essentials 240 Hinge It Magnetic Decorative Garage Door Accents | Black
C: AURELIO TECH Magnetic Garage Door Screen for 2 Car 16x7 ft Double Garage Door Mesh Screen Curtain Cover Kit with Hook and Loop


assistant
Answer: A,B,C
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: What is the relevance between the query and the product title below? Answer from one of the options.

Input:
Query: coors light mini can fridgw
Product: Coors Light Rocky Mountain Portable 8 Can Thermoelectric Mini Fridge 5.4 L/ 5.7 Quarts Capacity, 12V DC/110V AC Cooler for Home, Den, Dorm, Cottage, Cabin

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: 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: correll cup and saucer
Product list:
A: Simple Lines 12 oz. Mug [Set of 4]
B: SET OF 8 - Vintage Corelle Corning SPRING BLOSSOM - CRAZY DAISY Cups & Saucers
C: Corelle Chip Resistant Appetizer Plates, 6-Piece, Uptown Garden


assistant
Answer: B,A,C