JackyChunKit/Qwen3_SFT_Post huggingface dataset:
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: light of the world amy jill levine
Product: The Jewish Annotated New Testament

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: 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: small vanity without mirror
Product list:
A: Tribesigns Vanity Table with Lighted Mirror, Makeup Vanity Dressing Table with 9 Lights and 2 Drawers for Women, Dresser Desk Vanity Set for Bedroom, Gold (White)
B: Vanity Desk with Lighted Mirror - Vanity Table Makeup Vanity with Lights, 3 Color Lighting Modes Adjustable Brightness, 4 Drawers Makeup Table with Soft Cushioned Stool for Bedroom Studio, Black
C: Vanity Without Mirror, 2 Large Drawers, Makeup Dressing Table with, Bedroom Makeup Table for Women Girls (Black Walnut), Modern Simple Style, Multi-Function Table


assistant
Answer: C,A,B
Task: Sentiment_Analysis

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


user 
Instruction: 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: Holds stream light strion  pretty well. Really hard to get on and off a thick 2 in. duty belt though!

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


assistant
Answer: C: neutral
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: hp color jet mfp m281cdw
Product list:
A: HP 202A | CF502A | Toner-Cartridge | Yellow | Works with HP LaserJet Pro M254, M281cdw, M281dw, M281fdw
B: HP Laserjet Pro M281cdw All in One Wireless Color Printer, Scan, Copy and Fax with Ease with Bonus of 30 Sheets of HP Brochure Paper (T6B83A) - Premier Edition
C: HP LaserJet Pro M281fdw All-in-One Wireless Color Laser Printer, Works with Alexa (T6B82A)
D: HP 202X | CF503X | Toner-Cartridge | Magenta | Works with HP LaserJet Pro M254, M281cdw, M281dw, M281fdw | High Yield


assistant
Answer: B,C,A,D
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: Fits Toyota RAV4 2001-2005 Double DIN Stereo Harness Radio Install Dash Kit
Product 2: Metra Electronics 95-2001 Double DIN Installation Dash Kit for Select 1990-Up GM Vehicles

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


assistant
Answer: C
Task: Query_Product_Rank

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


user 
Instruction: Evaluate 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: 12 volt auxiliary lights
Product list:
A: 8 Gang Rocker Switch Panel for Boat Waterproof with 3.1A USB Charger Digital Voltmeter ON/Off Marine Toggle Switches 12V LED Aluminum Switch Panel for Car Truck Marine Switch Panel (8Gang Green)
B: DZG Universal LED Light Wiring Harness Kit 12V with Relay 30A Fuse On Off Switch for Motorcycle Driving Lights Auxiliary Work Lamps 2 Leads
C: SUZCO 4INCH 60W 3-Row Offroad Led Work Light Bar Driving Wiring Harness Switch KIT/COMBO, Spot/Flood/Combo Lightbar Waterproof 12V 24V with Mounting Bracket Tube Clamp 1"/1.5"/1.75"/2" For 4x4 ATV UTV
D: WOWLED LED Light Bar with Magnetic Base, LED Work Light 27W Portable Spot Flood Lamp for Truck, Tractor, Trailer, Car, Boat, Engineering Vehicle


assistant
Answer: C,D,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: Assess the relevance of a product to a given query by determining if it can function as a substitute, despite not fully meeting certain aspects of the query. Provide a binary output of yes or no based on this evaluation.

Input:
Query: 1/8 inch microphone windscreen
Product: 10 Piece Black L 35mm x D10mm Mini Microphone Headset Windscreen Foam Mic Cover


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: 100 spf sunscreen without oxybenzone
Product list:
A: EltaMD UV Clear Facial Sunscreen Broad-Spectrum SPF 46 Face Sunscreen for Sensitive Skin or Acne-Prone Skin, Oil-Free, Dermatologist-Recommended Mineral-Based Face Sunscreen with Zinc Oxide, 1.7 oz
B: Banana Boat Kids Sport Sting-Free, Tear-Free, Reef Friendly, Broad Spectrum Sunscreen Stick, SPF 50, 0.5oz.
C: Neutrogena Ultra Sheer Dry-Touch Sunscreen Lotion, Broad Spectrum UVA/UVB Protection, Oxybenzone-Free, Light, Water Resistant, Non-Comedogenic & Non-Greasy, Travel Size, SPF 55, 3 Fl Oz
D: Babo Botanicals Sheer Zinc Continuous Spray Sunscreen SPF 30 with 100% Mineral Active, Non-Nano, Water-Resistant, Reef-Friendly, Fragrance-Free, Vegan, for Babies, Kids or Sensitive Skin - 6 oz.


assistant
Answer: A,C,B,D
Task: Query_Product_Rank

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


user 
Instruction: Rank the products A, B, C, ... based on their relevance to the provided query, and produce a ranked list with the most relevant product positioned at the top of the list.

Input:
Query: crocks shoes big kids
Product list:
A: Crocs Kids Coast Clog (Toddler/Little Kid) Navy 9 Toddler M
B: Native Shoes - Jefferson Child, Regatta Blue/Shell White, C10 M US


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: +foot cream without alcohol
Product: La Roche-Posay Toleriane Double Repair Face Moisturizer, Daily Moisturizer Face Cream with Ceramide and Niacinamide for All Skin Types, Oil Free, Fragrance Free

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: Given the user's review, identify the user's sentiment from the listed options. Answer using one of the options.

Input:
User Review: What a disappointment to discover that one handle of the roaster is missing some enamel, exposing bare meta.  The reason that I ordered this item is that I have one exactly like it that was damaged when put through a commercial dish washer at church, gouging significant small areas of enamel, leaving rough exposed metal....that will likely rust over time.!  Please advise.  Thank you.

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: 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: Anything with high power capabilities/a gaming laptop.
Product list:
A: ASUS VivoBook 15 F515 Thin and Light Laptop, 15.6 FHD Display, Intel Core i3-1005G1 Processor, 4GB DDR4 RAM, 128GB PCIe SSD, Fingerprint Reader, Windows 10 Home in S Mode, Slate Grey, F515JA-AH31
B: 13.3 Inch Laptop (Intel Celeron_j3455 Quad Core CPU ,6GB DDR3 RAM ,128GB SSD ,10000mAH Battery , 5G WiFi ,HD Webcam ,Windows 10 Preinstalled )


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: res med masks cpap
Product: ResMed Universal Headgear for Various Mask, Standard - Blue

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: jovi air dry clay
Product list:
A: Jovi Plastilina Reusable and Non-Drying Modeling Clay; Box of 15-Color Sticks (0.5 oz. Each), Perfect for Arts and Crafts Projects
B: eBoot 11 Pcs Wooden Handle Clay Pottery Sculpting Tools
C: Jovi Plastilina Reusable & Non-Drying Modeling Clay; 1.75 Oz. Bars, Set of 30, Dark Green, Perfect for Arts & Crafts Projects


assistant
Answer: C,B,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: Given the title of two products, predict if the two products are similar, if the two products will be purchased or viewed together. Answer only from the options.

Input:
Product 1: Oster Titanium Infused DuraCeramic Belgian Waffle Maker, Chrome (CKSTWF1502-TECO)
Product 2: Westinghouse WWM1SSA Select Series Stainless Steel Waffle Maker, Silver

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: 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: black shoes for big girls size 4
Product: Crocs Unisex Men's and Women's Classic Clog, Black, 6 US

Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.


assistant
Answer: D: The product is irrelevant to the query.
Task: Multiclass_Product_Classification

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


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

Input:
Query: vanity without top 48 inch
Product: Silkroad Exclusive Countertop Marble Single Sink Bathroom Vanity with White Oak Finish Cabinet, 48"

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: Broke after a week or so. Didn't use much. Amazon refunded the amount.

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


assistant
Answer: C: neutral
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: miraclewatt dirty electricity filter
Product list:
A: Electricity Usage Monitor, Briidea Power Consumption Watt Voltage Amp Meter Tester with 2 Outlets Electricity Analyzer Monitoring Device for Energy Saving
B: Dirty Electricity Meter by Trifield - Model EM100 - EMI Power Line Noise Analyzer - Know Your Electricity @ Home, Office, Shop - Made in USA by Alphalab, Inc.


assistant
Answer: A,B