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: postpartum shirts for women
Product list:
A: Motherhood Maternity Women's Maternity 2 Pack Postpartum Seamless Support Panty, Black and Nude, Small/Medium
B: Ekouaer 2 Layers Maternity Nursing Comfy Tank Tops Sleeveless Breastfeeding Clothes Grey M


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: -10an with 1/8 not hole
Product list:
A: MWMNUN 1/8" NPT Port 1-1/16" Steam Tube Adapter Top Billet Radiator Hose Barb Coupler Cmpatible with LS Swap Steam/Coolant Crossover Splice ( Billet Aluminum AN627-20X125
B: Stylemafia 3/8 Fuel Line Fuel Pressure Barbed Push Lock T-Fitting Adapter,1/8-27 NPT Sensor Port,7/8 hose clamp, 304 stainless steel ,Fits Hose with 9.5mm ID Inner Diameter, Includes 4 pse Clamps


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: 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: fuji white paint
Product list:
A: Fuji 5100-5 Aircap Set #5 for T-Series Spray Gun
B: ScratchesHappen Exact-Match Touch Up Paint Kit Compatible with Land Rover Fuji White (867/NER/1AA) - Bottle, Essential
C: Rust-Oleum 7797502 Stops Rust Brush On Paint, 32 Fl Oz (Pack of 1), Semi-Gloss White
D: soto MULTI-PURPOSE PAINT TOUCH UP - Satin finish indoor + outdoor use - 1 oz (No. 01 Perfect White)


assistant
Answer: B,D,C,A
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: Analyze the titles of Product 1 and Product 2 to determine if they are similar, if they will be purchased or viewed together, and choose the corresponding option.

Input:
Product 1: Dolce Mela DMC460 Jacquard Damask Drapery Window Treatments with Grommet Curtain Panel, Capri
Product 2: Dolce Mela DMC461 Jacquard Damask Drapery Window Treatments with Grommet Curtain Panel, Cliodna

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: 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: These are perfect for use with my popover mix.  I think the size of the cups is big enough - and not necessarily so "mini"

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


assistant
Answer: B: positive
Task: Sentiment_Analysis

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


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

Input:
User Review: Too tall will not fit in oven / would only be usable in grill with clearance

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


assistant
Answer: D: negative
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, then choose the option that best describes the relation between the two products.

Input:
Product 1: Dyson Pipe, Valve Dc07 Dc14
Product 2: Dyson U-Bend Assembly, Dc07 Dc14

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: 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: hyperx cloud headset ps4
Product: HyperX Cloud Revolver S - Gaming Headset with Dolby 7.1 Surround Sound - Steel Frame - Signature Memory Foam - Premium Leatherette - Detachable Noise-Cancellation Microphone

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: A: The product is relevant to the query, and satisfies all the query specifications.
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: dissolving illusions by suzanne humphries
Product list:
A: The Virus and the Vaccine: Contaminated Vaccine, Deadly Cancers, and Government Neglect
B: How to Raise a Healthy Child in Spite of Your Doctor: One of America's Leading Pediatricians Puts Parents Back in Control of Their Children's Health
C: Miller's Review of Critical Vaccine Studies: 400 Important Scientific Papers Summarized for Parents and Researchers


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: 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: turkey hat newborn
Product: Newborn Baby Boys Girls Thanksgiving Clothes Daddy's Little Turkey Romper+Hat+Socks Outfit Set (12-18 Months, Gray)


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: this book will not be fun
Product list:
A: The Boy, the Mole, the Fox and the Horse
B: I Am Not a Chair!
C: The Fascinating Science Book for Kids: 500 Amazing Facts! (Fascinating Facts)


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

Input:
Query: long sleeve plus yellow formal evening gowns
Product: Milumia Women's Plus Size Round Neck Long Sleeve Mesh Insert Fit Flare Short Dress Black X-Large Plus


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: b07h5v29qz whey protein protein powder
Product list:
A: GNC AMP Wheybolic Ripped Whey Protein Powder - Chocolate Fudge, 22 Servings, Contains 40g Protein and 15g BCAA Per Serving
B: Protein Powder for Weight Loss | MuscleTech Nitro-Tech Ripped | Whey Protein Powder + Weight Loss Formula | Lose Weight | Weight Loss Protein Powder for Women & Men | Chocolate, 2 lb(package may vary)
C: Optimum Nutrition Gold Standard 100% Whey Protein Powder, Vanilla Ice Cream, 2 Pound (Packaging May Vary)


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: mono ps4 headset
Product list:
A: PDP PS4 Afterglow LVL 1 Chat Headset 051-031
B: Turtle Beach Recon Chat PlayStation Headset  PS5, PS4, Xbox Series X, Xbox Series S, Xbox One, Nintendo Switch, Mobile, & PC with 3.5mm  Glasses Friendly, High-Sensitivity Mic - Black


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: boot remover for women
Product list:
A: Rocket Pure Shoe Deodorizer Spray - Natural Foot Spray, Shoe Odor Eliminator, Shoe Spray Deodorizer Disinfectant & Foot Odor Eliminator for Men, Women & Kids - Remove, Control & Prevent Smell (Cedar)
B: Natural Foot and Shoe Odor Eliminator  Talc-Free Shoe Deodorizer and Body Powder Neutralizes Smelly Odors  Long-Lasting, Fast-Acting Foot Powder for Kids and Adults  USA-Made by Foot Sense, 3.5 Oz.
C: Lumi Outdoors Natural Shoe Deodorizer Spray & Odor Eliminator - Extra Strength Eucalyptus Lemongrass
D: Natural Shoe Deodorizer and Foot Spray  Foot Odor Eliminator for Shoes, Sports Equipment, and Feet  Long-Lasting, Smelly Feet Odor Neutralizer for Adults and Kids  USA-Made by Foot Sense, 5 Oz.


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: 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: round blue frame glasses
Product list:
A: Cyxus Blue Light Glasses Round Frame UV Blocking Computer Glasses Clear Lens Metal Eyewear Ultra Light Relieve Digital Screen Eye Strain, Headache
B: SOJOS Oversized Round Polygon Blue Light Blocking Glasses for Women Men Circle TR90 Eyewear Frame Glasses MOCHA SJ5093 with Brown Frame/Anti-Blue Light Lens


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: queen bed with led lights and nightstand
Product list:
A: ZINUS Dori Upholstered Platform Bed Frame with Wingback Headboard / Mattress Foundation / Wood Slat Support / No Box Spring Needed / Easy Assembly, Queen
B: SHA CERLIN 14 Inch Queen Size Metal Platform Bed Frame with Wooden Headboard and Footboard, Mattress Foundation / No Box Spring Needed, Large Under Bed Storage, Non-Slip Without Noise, Mahogany


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: 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: fortnite plushy
Product list:
A: Gorilla Monkey Chimp Stuffed Animal Soft Plush Toy 12.6x28.3 in Chimpanzee Leather Apes King Kong Gift for Kids Home Decor
B: Remote Controlled 3D Nightstand Lights 16 Colors Changeable Optical Illusion Night Light Bedroom Game Room Decor Birthday Festvial Party Gifts Gift Ideas for Boys Girls Child Kids Teen (Llama(Remote))
C: Hasbro Gaming Jenga: Fortnite Edition Game, Wooden Block Stacking Tower Game for Fortnite Fans, Ages 8 & Up


assistant
Answer: A,B,C
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: I got these when I started and I have bought much better gloves since.

Pros
-Cheap
-Breathable palm

Cons
- hand compartment is very loose.  this is dangerous!
- Knuckle padding is insufficient
- Padding is at a weird angle so there's a gap between the glove and your hand.
- wrist support is terrible; handwraps cannot make up for this completely.
- fake leather is very thin especially on the palm side
- stitching is falling apart

If you plan to use these for more than aerobics, you will hurt your hands and wrists.  If you get serious at all, you will probably upgrade within a month or two.  Just save your $25 towards better gloves now.

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: 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: ortho snake be gone
Product list:
A: Bonide Products INC 916132 875 Snake Stopper, 4-Pound, 4 lb
B: GARDEN SECRETS (2 Pack Professional Solar Mole & Snake Repellent. Gopher Vole Snake Scorpion etc Deterrent. Keep Underground Creatures Away from Your Property Within 2-4 Weeks. Year Full Warranty!
C: Victor VP364B Snake-A-Way Snake Repelling Granules  4 LB


assistant
Answer: C,A,B