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 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: clearly perfect slotted trimmers
Product list:
A: New Leaf StitchesLARGE Slotted Trimmers A2 and B2 Bundle
B: Clearly Perfect Slotted Trimmer D ~ Quilting Tool by New Leaf Stitches
C: Simplicity Triangle Quilting Ruler and Quilting Template, 8" x 13.2"


assistant
Answer: A,C,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: 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: adult castle bounce house
Product list:
A: YARD Bounce House Dual Castle Slide with Air Blower, Four-Sided Protection Net, Inflatable Bounce House for Outdoor Indoor Party, Made of Nylon and Vinyl Extra Thick Bouncing Floor
B: YARD Inflatable Bounce House Kids Tunnel Obstacle Bouncer with Air Blower Extra Thick Children's Outdoor Inflatable Bouncers, Holds 6 Kids for Party
C: AirMyFun Inflatable Bounce House,Bouncy Castle with Air Blower,Play House with Ball Pit,Inflatable Kids Slide,Jumping Castle with Carry Bag(Rocket Theme)
D: Zoom Blowers 2.0 HP Zoom XLT MAX Blower for Bounce Houses, Slides, & Other Inflatables


assistant
Answer: A,B,D,C
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: Predict whether two products are similar, whether two products are likely to be purchased or viewed together based on their titles. Choose your answer from the provided options.

Input:
Product 1:  Feng Shui Turtles On Top Of A Dragon
Product 2: Three Legged Toad Money Frog Statue Figurine

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: 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: air force 1 shoes girls
Product list:
A: Nike Air Force One '07, White, 11.5 D(M) US
B: Nike Force 1 (PS) - US 2.5Y White
C: Nike Air Force 1 '07 Mens Sneakers Style# 315122 (12 Mens US, White/White)


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: Determine the relevance between the query and the product title provided, and select your response from one of the available options.

Input:
Query: pool vacuum for above ground pools
Product: VINGLI Pool Vacuum Above Ground Indoor Outdoor Automatic Swimming Pool Cleaner Sweep Crawler Sweeper

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: C: The product does not fulfill the query, but could be used in combination with a product exactly matching 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: 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: 1/2 inch suction cups without hooks
Product list:
A: Adhesive Hooks with Suction Cup - Quntis Upgraded Reuseable Nano Adhesive Hooks Heavy Duty Clear Shower Hooks Kitchen Bath Window Wall Hanger for Towel Bathrobe Loofah Sponge Christmas Wreath, 2 Pack
B: Pawfly 20 Pack Clear Suction Cups 1.8 Inch PVC Plastic Sucker Without Hooks for Home Decoration and Organization
C: 24 PCS Wall Hooks, 8 LB Sticky Hooks and 5 LB Suction Cup Hooks, Hanging Heavy Duty Transparent Reusable Seamless Adhesive Hooks Home Kitchen Bathroom Wall Towel Robe Utility Hooks


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: 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: bluetooth julebox
Product list:
A: Crosley CR1206A-WA Full Size iJuke Bluetooth Jukebox with CD, AM/FM Radio and Color Changing LED Lights, Walnut
B: JBL Boombox Portable Bluetooth Waterproof Speaker Bundle with Hardshell Storage Case - Black
C: TAMPROAD Desktop Wooden Wireless Bluetooth Portable Speaker with HD Sound and Bass Support Mobile Phone Stand, USB, TF Card, FM Radio, Owl-Shaped Speakers for Camping, Biking, Partying, Travel


assistant
Answer: A,C,B
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: Please respond with yes if the product is a suitable substitute for the query, and no if it is not.

Input:
Query: iphone 7 case white cockatiel
Product: iPhone 7/8 Case, ImpactStrong Heavy Duty Dual Layer Protection Cover Heavy Duty Case for Apple iPhone 7/8 (Peach)


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: 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: tinted dry shampoo travel size
Product list:
A: Batiste Dry Shampoo Divine Dark Mini Travel Size 1.6 oz (Value Pack of 3)
B: CeraVe Hydrating Facial Cleanser | Moisturizing Non-Foaming Face Wash with Hyaluronic Acid, Ceramides and Glycerin | 16 Fluid Ounce


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: 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: eora 3d builds iphone-powered 3d laser scanner
Product list:
A: NADAMOO Wireless Barcode Scanner 328 Feet Transmission Distance USB Cordless 1D Laser Automatic Barcode Reader Handhold Bar Code Scanner with USB Receiver for Store, Supermarket, Warehouse
B: Barcode Scanner, Wired Handheld Bar Code Scanner with Adjustable Stand, Esky Automatic 1D USB Laser Scanner Support Windows/Mac/Linux for POS System Sensing, Store, Supermarket, Warehouse


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: Mom loves it I love it, and even more, Mom loves it I love it,  secondly, Mom loves it I love it, plus Mom loves it I love it, in addition, Mom loves it I love it, and lastly, Mom loves it I love it.

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: 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: #2 pencils with erasers sharpened not soft
Product list:
A: TICONDEROGA Tri-Write Triangular Pencils, Standard Size Wood-Cased #2 HB Soft, Yellow, 8-Pack (13852)
B: S & E TEACHER'S EDITION Half Pencils with Eraser Tops 96Pcs, Golf, Classroom, Pew - #2 HB, Hexagon, 96/Box.


assistant
Answer: A,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: Evaluate the relevance between the query and product title, and choose the most accurate option from the given options.

Input:
Query: disinfecting sprays
Product: Seventh Generation Hard Surface Cleaner 946 ml

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: 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: fire extinguisher for polaris ranger
Product: UNIGT Universal UTV Roll Bar Fire Extinguisher Holder Compatible with Polaris RZR Ranger General 900 1000 XP Maverick X3 - Enhanced Stitching Quick Release

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: C: The product does not fulfill the query, but could be used in combination with a product exactly matching 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: 1/4 grommet without washer
Product list:
A: Twinkle Star Pressure Washer O-Rings for 1/4", 3/8" Quick Connect Coupler, 40 Pack
B: EXOWERX | 3/4 Inch | Professional Grade | IP68 | Reinforced | NPT | Cable Glands | Strain Relief | Cord Grips | UL Rated Nylon | Black | 2 Pack


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: What is the relevance between the query and the product title below? Answer from one of the options.

Input:
Query: readers handbook
Product: The Baby's Handbook: 21 Black and White Nursery Rhyme Songs, Itsy Bitsy Spider, Old MacDonald, Pat-a-cake, Twinkle Twinkle, Rock-a-by baby, and More (Engage Early Readers: Children's Learning Books)

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: 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 had one of these in college and I loved It.  This one burned after one use and had to be thrown away.  Don't know why.  It looked the same.

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: 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: teeth are not for biting board book
Product list:
A: Diapers Are Not Forever (Board Book) (Best Behavior Series)
B: Hands Are Not for Hitting (Board Book) (Best Behavior Series)
C: Voices Are Not for Yelling (Best Behavior Board Book Series)


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: summer school workbooks
Product list:
A: The One Big Book - Grade 8: For English, Math and Science
B: School Zone - Get Ready for Kindergarten Workbook - Ages 3 to 6, Preschool to Kindergarten, Letters, Numbers, Shapes, Colors, Matching, and More (School Zone Little Get Ready!TM Book Series)
C: Summer Bridge Activities WorkbookBridging Grades 3 to 4 in Just 15 Minutes a Day, Reading, Writing, Math, Science, Social Studies, Summer Learning Activity Book With Flash Cards (160 pgs)
D: The 3 Minute Gratitude Journal for Kids: A Journal to Teach Children to Practice Gratitude and Mindfulness


assistant
Answer: D,B,C,A