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: 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: poly strapping
Product list:
A: Poly Strapping Tensioner & Cutter Manual Banding Tools Windlass for 1/2" -3/4" Width Polyester Polyproplyn Strap
B: Pallet Packaging Strapping Banding Kit Tensioner Tool Sealer, 3200' Length x 1/2" Wide Coil Reel for Packing (Yellow)
C: PAC Strapping 48H.50.0172 1/2" Heavy Duty Hand Grade Black Polypropylene Strapping, 7,200' Length


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

Input:
Query: bulk christmas candy
Product: 5lb Christmas Candy Hershey's Holiday Mix (Approx 300 pcs) - Hershey's Miniatures, Kisses and Reese's Cups

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: 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: building writers learning without tears
Product: Learning Without Tears Tag Bags, Get Set for School Series- Pre-K Manipulative- Math Skills, Match, Sort, Patterns, Circle Time, Centers, Fine Motor Skills- for School or Home Use

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: 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: square, red, small pillow cases
Product: Ogrmar 2PCS Throw Pillow Covers Buffalo Check Plaid Cushion Cover Decorative Square Pillow Cases for Sofa Couch Home Car Decor(Red and White, 18" x 18")

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: Carefully assess the user's review for any strong expressions of sentiment, either positive or negative. Based on your analysis, select the most fitting sentiment option from the provided list as output.

Input:
User Review: Makes great popcorn, only thing is the metal arm fell off. Now I have to put it back on and tighten it occasionally.

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


assistant
Answer: C: neutral
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 now have bought two lenses that were not designed for the smaller digital camera sensor, and both consistently fail to autofocus, the Sigma 28mm and the Canon 50mm f1.8 II, both relatively inexpensive lenses, and both designed for film cameras I believe. I was able to get both to focus most of the time by using my "live view" focusing, but it is slow and you can't use the viewfinder. I just couldn't justify keeping this large, heavy, no doubt very high quality lens if it was going to be that difficult to use.
The kit lens that came with my Canon XSi focuses much more reliably, maybe because that lens is designed for small sensor cameras.

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


assistant
Answer: D: 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: 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: ducted dehumidifier
Product list:
A: ALORAIR 180 PPD Commercial Dehumidifier with Pump Drain Hose for Basement Warehouse & Job Sites, Large Capacity Crawl Space Dehumidifier for Water Damage Restoration, 5 Years Warranty, Yellow
B: GE Portable Dehumidifier with Pump | 50 Pint | Perfect for Bedroom, Basement & Garage | Ideal for High Humidity Areas | Built-in Pump Eliminates Need to Check Water Levels | Grey


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: garland baby girl pink blow up
Product list:
A: Pink Elephant Birthday Party Balloons Garland Arch Kit Baby Shower Backdrop Winter Onederland Party Decorations Gray White Pink Shiny Silver Confetti Balloons
B: PRIMEPURE Premium Gold Baby Boxes - For Gender Reveal, Gender Reveal Party Supplies, Gender Reveal Decorations, Baby Shower, Baby Shower Decorations For Girl and Baby Shower Decorations For Boy
C: UPTO 114 Pieces Gift Balloon Arch Garland Balloon Garland Kit for Baby Shower Bridal Girls Birthday Party Decorations Gold Pink White Color (Gold Pink White Color)


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: 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: 0-3 month boy fall clothes
Product list:
A: Fairy Baby Formal Baby Boy Outfit One-Piece Romper Gentleman Dress Clothes 0-3 Months, Silver Grey
B: Toddler Infant Baby Boys Clothes Plaid Long Sleeve Hoodie Sweatshirt Pants Fall Winter 2Pcs Outfits Set(Khaki Plaid, 0-6 Months)
C: Luvable Friends baby boys Newborn and Terry Socks, Aztec, 0-6 Months US


assistant
Answer: B,C,A
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: beach loungers folding lightweight
Product: MacSports 2-in-1 Outdoor Beach Cart + Folding Lounge Chair w/Lock | Tanning, Sunbathing, Lounging, Pool, Backyard, Porch | Portable, Collapsible with All-Terrain Wheels | Blue w/Lock


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: dog beds without stuffing
Product list:
A: Dogbed4less Jumbo Orthopedic Extreme Comfort Memory Foam Dog Bed for Large Dog, Waterproof Lining and Machine Washable Denim Cover, 55X47 Pillow, Blue
B: Furhaven Orthopedic Pet Bed for Dogs and Cats - Plush Fur and Decor Comfy Couch Dog Bed with Removable Washable Cover, Diamond Gray, Medium


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: a very punchable face
Product: Mixed Plate: Chronicles of an All-American Combo

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: Carefully assess the user's review for any strong expressions of sentiment, either positive or negative. Based on your analysis, select the most fitting sentiment option from the provided list as output.

Input:
User Review: the Klipsch Promedia 2.1 really opened up the sound on my new dell desktop computer. It puts out an amazing amount of sound, and really deep bass from the sub-woofer. The satellite speakers give me a nice, open sound field that rivals my bose system in the living room. Of course, there was an initial problem that turned out to NOT be the fault of the speakers. I initially set up the system using WINDOWS media player. MISTAKE! Totally distorted high end! I switched to REAL PLAYER, and the distortion problem was instantly solved.

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: 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: black shoes for big girls size 4
Product list:
A: Nike Unisex-Kid's Revolution 5 Grade School Running Shoe, Black/White-Anthracite, 4.5Y Regular US Big Kid
B: VIFUUR Water Sports Unisex Shoes Black - 5.5-6.5 W US/ 4.5-5.5 M US (36-37)
C: Dynadans Soft Leather Ballet Shoes/Ballet Slippers/Dance Shoes for Girls and Boys (Toddler/Little/Big Kid/Women)-Black-4.5M Big Kid


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 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: .3ml syringe without needle
Product list:
A: OakRidge Products 1 Quart Size (Pack of 3) Sharps Disposal Container - Approved for Home and Professional use
B: BHSUPPLIES 3ml Syringe Sterile with 23G, 1.5inch - 100 Pack - Individually Sealed
C: BSTEAN 25 Pack 3ml Disposable Sterile Syringe with 23Ga 1.0 Inch Needle, Individual Package
D: Ezy Dose Kids Baby Oral Syringe & Dispenser | True Easy Design for Liquid Medicine | 10 mL/2 TSP | Color Coded


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: 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: wireless keyboard small
Product list:
A: Wireless Keyboard and Mouse, WisFox 2.4GHz Compact Keyboard Mouse Combo, Small Quiet USB Laptop Keyboard Portable Mini Wireless Keyboard for Computer Window PC Notebook (Black)
B: Wireless Keyboard and Mouse, Jelly Comb 2.4G Slim Compact Quiet Small Keyboard and Mouse Combo for Windows, Laptop, PC, Notebook-Black and Gray


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: 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: noval key creams
Product list:
A: Keychron K3 Ultra-Slim 75% Layout Wireless Bluetooth/Wired USB Mechanical Keyboard, Hot Swappable Low-Profile Keychron Optical Brown Switch White LED Backlit 84 Keys Keyboard for Mac Windows-Version 2
B: TECSEE Purple Panda PME Material Linear Keyboard Switches | Cherry-Style | Mechanical Gaming Keyboards | Long Stem | Plate Mounted | SMD 5 Pin RGB Switches for Backlit Keyboard (Carrot 70)


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: 10 in. wash brush without handle by rubbermaid
Product list:
A: Rubbermaid Commercial Products-1902465 , Executive Quick Carts Mobile/Travel Office Cart for Housekeeper, Sales Rep, Medical Professionals, Home Healthcare, Teachers - Large, Dark Gray
B: Rubbermaid Commercial Products Deluxe Carry Caddy for Cleaning Products, Spray Bottles, Sports/Water Bottles, and Postmates/Uber Eats Drivers, Black (FG315488BLA)


assistant
Answer: A,B