JackyChunKit/Qwen3_SFT_Post huggingface dataset:
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: Running my network connection through this surge protector drops my internet speed down to 100mbs (non DOCSIS 3.0 speed). The connection indicator on my Motorola SB6141 goes from blue (DOCSIS 3.0) to amber (non DODSIS 3.0). This is totally unacceptable.

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: 1 oz plastic shot glasses without lids
Product list:
A: EDI Clear Disposable Plastic Portion Cups/Souffle Cups with Lids, 1 Ounce (100 Count)
B: Just Artifacts 1oz Plastic Shot Glasses (120pcs, Metallic Rose Gold Rim)
C: 12 Gauge Shot Glasses Set of 4


assistant
Answer: B,C,A
Task: Query_Product_Rank

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


user 
Instruction: 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: tennis shoes toddler boy
Product list:
A: Saucony Boy's Baby Jazz Hook & Loop Sneaker, Cobalt Blue, 7 M US Toddler
B: Stride Rite 360 Stride Rite Dive Girl's and Boy's Machine Washable Athletic Sneaker, Grey, 10 M US Toddler Stride Rite Dive Girl's and Boy's Machine Washable Athletic Sneaker baby-boys,Grey,10 Toddler
C: Under Armour Unisex Little Kid Pre School Assert 8 Alternate Closure , Black (001)/Mod Gray , 12


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: Assess the user's sentiment in the provided review and select the appropriate sentiment option from the list as the answer.

Input:
User Review: Actually, I'd rate it 4.5 stars, instead of five. Clean up could be a little easier. Makes dang good coffee, though.

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


assistant
Answer: A: very 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: router without wifi for cable internet
Product list:
A: Linksys AC1900 Smart Wi-Fi Router Home Networking, MU-MIMO Dual Band Wireless Gigabit WiFi Router, Speeds up to 1.9 Gbps, coverage up to 1,500 sq ft, Parental Controls, up to 15 devices (EA7500-4B)
B: TRENDnet 4-Port Broadband Router, 4 x 10-100 Mbps Half-Full Duplex Switch Ports, Instant Recognizing, Remote Management, MAC Address Control to Allow Or Deny Access, Black, TW100-S4W1CA
C: NETGEAR WiFi Mesh Range Extender EX6250 - Coverage up to 2000 sq.ft. and 32 devices with AC1750 Dual Band Wireless Signal Booster & Repeater (up to 1750Mbps speed), plus Mesh Smart Roaming


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: bodies are cool tyler feder
Product list:
A: We're Better Together: A Book About Community (Highlights Books of Kindness)
B: I Choose to Calm My Anger: A Colorful, Picture Book About Anger Management And Managing Difficult Feelings and Emotions (Teacher and Therapist Toolbox: I Choose)
C: Our Skin: A First Conversation About Race (First Conversations)


assistant
Answer: B,C,A
Task: Query_Product_Rank

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


user 
Instruction: Given a query and a list of products denoted as A, B, C, ... with their titles, rank the products according to their relevance to the query. Output only a ranked list in which the most relevant product is at the top of the list.

Input:
Query: 1 inch wooden beads for crafts without holes
Product list:
A: DICOBD 150pcs Wooden Beads Large Size (20mm, 25mm, 30mm) Natural Wooden Beads Round Wood Beads Rustic Country Wood Beads Suitable for Crafts, DIY Jewelry Making, Home Decoration, Holiday Decoration
B: 20Pcs Natural Wood Rings, HNYYZL Smooth Unfinished Wooden Ring Wood Circles for Craft, Ring Pendant and Connectors Jewelry Making, 6cm/2.4Inch in Diameter
C: 100pcs 20mm Wooden Beads Large Wood Beads Natural Farmhouse Beads, Suitable for Home Decor and Craft Making


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: allman brothers fillmore west
Product list:
A: At Fillmore East [2 LP]
B: Eat A Peach [2 LP]
C: Stormy Monday (Live at Fillmore West, San Francisco, CA 1/30/71)


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: 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: treat people with kindness grey hoodie
Product list:
A: Treat People With Kindness Gift Sweatshirt
B: Expression Tees Mens Treat People with Kindness T-Shirt Large Heather Grey


assistant
Answer: A,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: back to school supplies for girls
Product: EASTHILL Large Capacity Pencil Case Pen Bag Pouch Holder Multi-slot School Supplies For Middle High School Office College Teen Girl Adult Simple Storage Mint Green


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: quick fix synthetic urine
Product list:
A: Pocket Underwear for Men with Secret Hidden Front Stash Pocket, Travel Boxer Brief, Medium Size 2 Packs (Black)
B: HotHands Hand Warmers, 10 count (5 pack with 2 warmers per pack)
C: DMI Urinal for Men, Portable Urinal that is Wearable with Elastic Waistband and Urine Collection Bag for Leg, Holds up to 20 Ounces of Fluid, One Size Fits Most, Reusable and Washable


assistant
Answer: C,B,A
Task: Query_Product_Rank

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


user 
Instruction: Given a query and a list of products denoted as A, B, C, ... with their titles, rank the products according to their relevance to the query. Output only a ranked list in which the most relevant product is at the top of the list.

Input:
Query: power without persuasion
Product list:
A: Influence - Science and Practice - The Comic
B: Vagus Nerve: Accessing The Healing Power Of The Vagus Nerve With Self-Help Exercises To Stimulate Vagal Tone. Relieve Anxiety, Reduce Chronic Illness, Depression and Trauma
C: Power without Persuasion: The Politics of Direct Presidential Action


assistant
Answer: C,A,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: 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: Shun DM0517W 7-Inch Ken Onion Hollow-Ground Santoku Knife
Product 2: Shun VB0718 Sora Hollow Ground Santoku Knife, 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: slatted blinds for windows
Product list:
A: DALIX PVC Vertical Blind Replacement Slat Smooth (White) 10 Pk 82 1/2 x 3 1/2
B: Bali Blinds Cordless Light Filtering Cellular Shade, 27" x 64", White,044294 214033
C: CHICOLOGY, Door, Blinds & Shades Camper, Mini, Horizontal Window Blinds, 29" W X 64" H, White (Commercial Grade)


assistant
Answer: C,B,A
Task: Multiclass_Product_Classification

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


user 
Instruction: Analyze the query and product title to determine the relevance between the query and product, and select the appropriate option from the provided options.

Input:
Query: brown glitter htv
Product: Glitter Heat Transfer Vinyl Bundle, 11 Pack 10" x 10" Sheets for T-Shirts DIY, 11 Colors Glitter HTV Vinyl (11 Colors Glitter)

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: 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: baby clothes boy 6-9 months footers
Product list:
A: Gerber Baby Girls' 4 Pack Sleep 'N Play Footie, Cloudy, 6-9 Months
B: Marvel Baby Boys' 5 Pack Bodysuits - The Hulk, Spiderman, Iron Man and Captain America (3-6 Months)


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: blood sugar monitor without finger pricks
Product list:
A: Zacurate Pro Series 500DL Fingertip Pulse Oximeter Blood Oxygen Saturation Monitor with Silicon Cover, Batteries and Lanyard (Royal Black)
B: AUVON DS-W Blood Sugar Kit (No Coding Required), High-Tech Diabetes Blood Glucose Meter with 50 Test Strips, 50 30G Lancets, Lancing Device
C: OhCare Lite Blood Sugar Test Kit  Blood Glucose Meter with Strips and Lancets, Lancing Device, Log, and Case - One Touch Eject Glucometer (50 Strips & 50 Lancets)


assistant
Answer: B,C,A
Task: Query_Product_Rank

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


user 
Instruction: 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: 02 gmc denali headlight mounting bracket
Product list:
A: DNA Motoring HL-LB-SIERRA99-BK-CL1 4PCs LED DRL Strip Headlight+Bumper Lamp [For 99-07 GMC Sierra/Yukon]
B: CarPartsDepot 317-15107-02 Head Light Lamp Support Mounting Panel Right Passenger GM1221122


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: mountable child
Product list:
A: Kids Art Easel Whiteboard&Chalkboard Double Sided Easel, 29.5inch-44inch Height Adjustable & 360Rotating with Magnetic Letters and Numbers (Black)
B: Regalo 2-in-1 Extra Tall Easy Swing Stairway and Hallway Walk Through Baby Gate, Black
C: Wall Nanny - Baby Gate Wall Protector (Made in USA) Protect Walls & Doorways from Pet & Dog Gates - for Child Pressure Mounted Stair Safety Gate - No Safety Hazard on Bottom Spindles - 4-Pack


assistant
Answer: B,C,A
Task: Query_Product_Rank

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


user 
Instruction: 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: schwinn predator parts
Product list:
A: Schwinn Twinn Classic Tandem Adult Beach Cruiser Bike, Double Seater, Steel Low Step Frame, 7-Speed, 650c Urban Tires, Alloy Caliper Brakes, Medium Frame, Grey
B: Diamondback Bicycles Youth Nitrus BMX Bike, Gloss Black


assistant
Answer: B,A