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: sliding glass door curtains gold
Product list:
A: BGment Fashion Sliding Door Curtain 100 X 84 Inches, Wide Thermal Blackout Curtains Room Darkening Room Divider Window Curtain, 1 Panel, Navy Blue.
B: Deconovo Extra Long Grommet Blackout Curtains, Gold Foil Wave Printed Room Darkening Curtain, Thermal Insulated Energy Saving Drapes for Sliding Glass Door - 52W x 108L Inch, Light Beige, 2 Panels


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: champion mockneck sweatshirt
Product list:
A: Champion Men's Long Sleeve Heavyweight Mock Neck, white, X-Small
B: Champion Women's Reverse Weave Mock Neck Crop, black, XX-Large


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: 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: kanine care dog toothbrush
Product list:
A: PETHOBBY Dog Chew Toy for Dog Teeth Cleaning, Natural Rubber Dog Toothbrush Toy with Dental Care, Safe Dog Teething Toys for Small and Medium Dogs(Green, 10-40 lbs)
B: NOUGAT Squeaky Dog Chew Toys- Heavy Chewers Dog Toys- Indestructible Tough Dog Toys for Aggressive Chewers Large Breed, Dog Teeth Cleaning Toys for Medium Large Dogs (Green, Crocodile)
C: Arm & Hammer Complete Care Enzymatic Dog Toothpaste Value Size | 6.2 oz Chicken Flavor Enzymatic Dog Toothpaste for Puppies | Great Tasting Dog Toothpaste with Arm & Hammer Baking Soda
D: PEWOD Dog Toothbrush Chew Toy for Aggressive Chewers | Dog Teeth Cleaning Stick | Indestructible Durable Tough Toy for Medium Large Dogs


assistant
Answer: A,B,C,D
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: Given a query and a product, identify if the product is somewhat relevant to the query. It fails to fulfill some aspects of the query but the product can be used as a functional substitute. Only output yes or no.

Input:
Query: henley shirts for men
Product: Amazon Brand - Goodthreads Men's Slim-Fit Short-Sleeve Crewneck Cotton T-Shirt, Fatigue, Large


assistant
Answer: yes
Task: Product_Relation_Prediction

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 titles of Product 1 and Product 2 to assess their similarity and whether they are likely to be purchased or viewed together. Then, select the appropriate option.

Input:
Product 1: Deco 79 63340 Metal Leaf Wall Decor, 12 by 48-Inch
Product 2: Deco 79 Metal Wall Decor, 30-Inch by 7-Inch

Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.


assistant
Answer: 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: seated row machine plate loaded
Product list:
A: BuyHive LAT Pull Down Machine Low Row Cable Fitness Exercise Body Workout Strength Training Bar Machine
B: RitFit Power Cage with LAT Pull Down and 360 Landmine, 1000LB Capacity Power Rack Full Home Gym for Weightlifting, Come with J-Cups,Dip Bars and Other Attachments (Upgraded Version)
C: XMark Heavy Duty LAT Pulldown and Low Row Cable Machine with High and Low Pulley Stations and Flip-Up Footplate (Plates Not Included)
D: DERACY Deluxe Adjustable Weight Bench for Full Body Workout, Weight Capacity 1100 lbs, Incline and Flat Weight Bench for Indoor Workout, Home Gym


assistant
Answer: C,A,D,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: 05 chevy malibu window regulator without motor
Product list:
A: Front Left Driver Side Power Window Regulator with Motor Assembly for Chevrolet Silverado 1500 2500 3500 Tahoe GMC Sierra Yukon Cadillac Escalade
B: MOTOALL Window Regulator Guide Clips For Roadmaster Impala Caprice Fleetwood Delta 10 Pcs
C: For Chevy Malibu Front Window Regulator 1997-2003 Passenger Side | Power | Without Motor | GM1351141 | 22723562
D: Dorman 741-644 Front Driver Side Power Window Motor and Regulator Assembly for Select Cadillac / Chevrolet / GMC Models , Black


assistant
Answer: C,A,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: 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: pint one wheel
Product list:
A: INMOTION V11 Electric Unicycle  Off-Road One-Wheel Adult Unicycle  Self-Balancing Unicycle Wheel  18-inch One-Wheel with Built-in Air Suspension  Powerful 2200W Motor and 31mph Max Speed
B: EVERCROSS Electric Scooter, Electric Scooter for Adults with 800W Motor, Up to 28MPH & 25 Miles, Scooter for Adults with Dual Braking System, Folding Electric Scooter Offroad with 10'' Solid Tires
C: Hoosier 10.5 x 5.0-6 Treaded Tire for Onewheel Pint


assistant
Answer: A,C,B
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: Analyze the user's review text and determine the overall sentiment expressed, then choose the corresponding sentiment option from the provided list (A: very positive, B: positive, C: neutral, D: negative, E: very negative) based on the identified sentiment.

Input:
User Review: Good design in some respects - convenient earphones for use while running, etc., and convenient controls.  BUT - terrible reception!  Fine for local FM stations, but very poor sensitivity and even worse selectivity, both FM and AM.  Not a radio for someone who wants to pick up a particular station (e.g., for my main purpose - listening to sports broadcasts), but OK if you just want to listen to any local station for musical distraction while engaged in sports activity.

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


assistant
Answer: E: very negative
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: aquarium heater 10 gallon
Product list:
A: Orlushy Mini Aquarium Heater 50W,Small Fish Tank Heaters with LED Digital Temperature Display and External Temperature Controller for Betta Frogs Newts Turtles (50W)
B: Hitop 50W/100W/300W Adjustable Aquarium Heater, Submersible Glass Water Heater for 5  70 Gallon Fish Tank (50W for 5-20 Gallon)


assistant
Answer: 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: chamoy sauce
Product: Bazukazo Tarugos Tamarindo Con Chile Mexican Tamarind Candy Sticks 20 Pieces New Sealed

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: 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: erythritol sweetenerorganic
Product: Anthony's Confectioner's Erythritol, 2 lb, Non GMO, Natural Sweetener, Zero Calorie, Keto & Paleo Friendly

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: 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: cybling womens shoes
Product list:
A: CYBLING Women Fashion Rhinestone Sneakers Casual Lace Up High Top Hidden Heel Wedges Platform Shoes Black
B: Vintage Buckle Kitten Heeled Sandals for Woman Sparkly Cross Strap Peep Toe Lightweight Ladies Dress Sandal
C: CYBLING Women's Pointed Toe Chunky High Heels Pumps Faux Suede Business Office Dress Shoes Black


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: 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: the kite runner by khaled hosseini
Product list:
A: The Kite Runner Graphic Novel
B: GradeSaver (TM) ClassicNotes The Kite Runner: Study Guide
C: Cometas en el cielo/ The Kite Runner (Letras de Bolsillo) (Spanish Edition)


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: dart case for steel darts
Product list:
A: Harley-Davidson Bar & Shield Flames Racers 20 Gram Steel Tip Darts, Black 660
B: GSRECY Darts Steel Tip Set - Professional 22 Grams 2BA Darts Brass Barrels Aluminum Shaft and Case Darts Flights (Purple)


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: treat people with kindness grey hoodie
Product list:
A: Expression Tees Hoodie Treat People with Kindness Adult Medium Heather Grey
B: Expression Tees Mens Treat People with Kindness T-Shirt Large Heather Grey
C: Expression Tees Racerback Treat People with Kindness X-Large Heather Grey Ladies Tank Top


assistant
Answer: A,C,B
Task: Product_Relation_Prediction

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 titles of Product 1 and Product 2 to assess their similarity and whether they are likely to be purchased or viewed together. Then, select the appropriate option.

Input:
Product 1: Ramtech Car Vehicle Truck Adjustable Windshield Suction Mount Holder Bracket Stand Suitable For Rand McNally IntelliRoute 8&quot; TND Tablet (Note: Fits Tablet and Powered Magnetic Mount) - WMB7
Product 2: Trucker Tough Tablet Mount Holder for ELD GPS Garmin Nuvi Tomtom Via Go Magellan DashCam Navigator &amp; Phablet-Style Smartphone Devices in Cars and Trucks TT1-616-1

Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.


assistant
Answer: 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: let it snow sweater
Product list:
A: Traleubie Womens Open Front Cardigan Pockets Cable Knit Long Sleeve Sweaters Warm Tops Grey M
B: Let It Snow Santa Cocaine President Donald Trump Adult Humor T-Shirt


assistant
Answer: B,A
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: Assess the user's sentiment in the provided review and select the appropriate sentiment option from the list as the answer.

Input:
User Review: I really liked this item until it broke after only 3 months of use. Ive ordered another, so we'll see how it goes for round 2.

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


assistant
Answer: D: negative