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

Input:
Query: tough gear car toy
Product: SNAPTAIN S5C WiFi FPV Drone with 2K Camera,Voice Control, Wide-Angle Live Video RC Quadcopter with Altitude Hold, Gravity Sensor Function, RTF One Key Take Off/Landing, Compatible w/VR Headset

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: 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: bosch 10 inch table saw
Product list:
A: BOSCH Power Tools Jigsaw Kit - JS572EK - 7.2 Amp Corded Variable Speed Top-Handle Jig Saw Kit with Assorted Blades and Carrying Case
B: Bosch 4100 Table Saw OEM Replacement Glide Pad # 2610950101 (2 Pack)


assistant
Answer: 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: Answer yes if the product is a substitute for the query and no otherwise.

Input:
Query: batman the long halloween part 1
Product: Batman: The Complete Animated Series [Blu-ray]


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: green and white striped shirt
Product list:
A: Amazon Essentials Men's Regular-Fit Long-Sleeve Solid Oxford Shirt, navy, X-Large
B: Mens Long Sleeve Rugby Polo Shirt, Large Forest Green/White
C: Hanes Men's Long-Sleeve Beefy Henley T-Shirt - X-Large - Pebblestone Heather


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: language of medicine 11th edition
Product list:
A: The Language of Medicine
B: Merriam-Webster's Collegiate Dictionary, 11th Edition, Laminated Hardcover, Plain-Edged, 2020 Copyright (Merriam-Webster's Collegiate Dictionary (Laminated))
C: A Wellness Way of Life, Loose, with Connect Access Card


assistant
Answer: A,B,C
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: 2 piece living room curtain
Product: Deconovo Room Darkening Thermal Insulated Blackout Grommet Window Curtain 2 Panels for Bedroom Black 42x84-Inch


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: blue and white kitchen mat
Product list:
A: Silicone Carved Trivet Mats Set for Table Dishes and Pot Holders, Mug Coasters, Modern Kitchen Hot Pads for Pots & Pans (Round, Set of 3, Navy Blue)
B: ComfiLife Anti Fatigue Floor Mat  3/4 Inch Thick Perfect Kitchen Mat, Standing Desk Mat  Comfort at Home, Office, Garage  Durable  Stain Resistant  Non-Slip Bottom (20" x 32", Gray)


assistant
Answer: 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: 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: Neewer 32 inches /80 centimeters Octagon Softbox Octagonal Speedlite, Studio Flash, Speedlight Umbrella Softbox with Carrying Bag for Portrait or Product Photography.
Product 2: Selens Honeycomb Grid for Selens 48 inch 16 Rods Octagon Parabolic Softbox

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: 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: weber summit 600 grill light
Product list:
A: Weber 7108 Grill Cover with Storage Bag for Summit 400-Series Gas Grills , Black
B: Weber 70867 2-3/8".Diameter Summit 400/600 Years 2007-2011 2pk Lighted Knob


assistant
Answer: B,A
Task: Sentiment_Analysis

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


user 
Instruction: 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: I am truely enjoying my new radio. I am not new to GE products. I have several at home. So far everything said about this radio is true. Although i am using this radio inside, the reception is very good. I would most likely but this brand again........

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


assistant
Answer: B: positive
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: women's dress socks
Product: No Nonsense Women's Cotton Flat Knit Crew Sock 3-Pack, Black, 4-10


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: ford excursion car seat cover
Product list:
A: Black Panther Luxury PU Leather Car Seat Cover Protector for Front Seat Bottom,Compatible with 90% Vehicles (Sedan SUV Pickup Mini Van) - 1 Piece,Gray (21.2620.86 Inches)
B: Premium Waterproof Universal Car Seat Cover, Neoprene Rubber Seat Protector, Non-Slip Fit, Best Protection for Sports, Gym, Yoga, Workouts, Fitness, Running, Dirt, Pets (Black with Sliver Trim)


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: fire hd 10
Product: Simbans ExcelloTab 10 Inch Tablet 2020 Model | 3 GB RAM, 32 GB Disk, Android 9 Pie | WiFi, USB, HDMI, Bluetooth | IPS Screen, Quad Core CPU, 2+5 MP Camera Computer PC

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: filter cartridge whirlpool 2
Product list:
A: Whirlpool WHEERF Replacement Water Filter Cartridges White, 9.8 x 2.5 x 2.5 inches
B: Whirlpool WHADUS5 Under Sink Water Filtration System with Chrome Faucet | Extra Long Life | Easy to Replace 2-Stage UltraEase Filter Cartridges, 1, Blue
C: Whirlpool WHA4FF5 Water Filter, Dark Grey


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: 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: ep970 inversion table
Product list:
A: #inversion - 11oz Hashtag Colored Rim and Handle Coffee Mug, Red
B: Teeter Comfort Cushion - Plush Padded Surface with Microfiber Shell - Accessory Inversion Tables
C: Health Gear ITM4.5 Adjustable Heat & Massage Inversion Table - Heavy Duty up to 300 lbs, Black


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: new years eve dress
Product list:
A: Women's Floral Print Collared Neck 3/4 Sleeves Long Maxi Casual Shirts Dress
B: Romwe Women's Elegant Sweetheart Neck Strapless Stretchy Party Romper Jumpsuit Black Small
C: Lovezesent Womens Formal Sequin Prom Party Dress Sexy Sheath Midi Cocktail Party Dress Night Club Silver Large


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: 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: 1.5 wooden beads without holes
Product list:
A: Janod 2 Games-in-1 Stringable 11 Farm-Themed Wood Beads and Painted Wooden People and Animal Play Set for Ages 2+
B: 1105 Pieces Wooden Beads, Natural Round Wood Beads Set with 1 Roll Crystal Elastic Line for DIY Jewelry Craft Making, 6 Sizes (6 mm/ 8 mm/ 10 mm/ 12 mm/ 16 mm/ 20 mm)
C: Exasinine 40 Pcs Candy Colors Mixed Wooden Beads Thread Stripe Wood Ball for DIY Craft Jewelry Making, 0.78 Inch (Thread Stripe)


assistant
Answer: B,C,A
Task: Sentiment_Analysis

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


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

Input:
User Review: Looks great, fantastic small footprint, but poor design flaws. The top lid naturally accumulates condensation. Opening the lid, the built up water just dribbles down the back on the outside. If you didn't see it, it will ruin the unit or your countertops with all the water leakage. My second major issue is the coffee filter. It's a hybrid metal/plastic thing that is awful to clean. The plastic traps the coffee grounds and the metal mesh is weak.

On the positives, the programming function and button layouts work well. It brews quickly and produces decent coffee. Overall an ok coffee maker with silly design flaws.

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: 0.5cc syringe without needle
Product list:
A: 3 Pcs 150ml Large Syringes, Sterile and Individual Sealed, Easy to Use and Clean, Plastic Garden Syringe for Liquid, Lip Gloss, Paint, Epoxy Resin, Oil, Watering Plants, Refilling...
B: Frienda 4 Pack Large Plastic Syringe for Scientific Labs and Dispensing Multiple Uses Measuring Syringe Tools (20 ml)


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: bamboo toothbrush without nylon
Product list:
A: 20 Pieces Bamboo Toothbrushes Reusable Charcoal Bamboo Toothbrush Natural Reusable Toothbrushes with BPA-free Soft Bristles and Natural Wooden Handle in Individually Packaged
B: Bambonice Bamboo Toothbrushes (10 Pack) |Eco Friendly toothbrushes, Natural Toothbrushes | BPA Free, Soft Bristles & Biodegradable toothbrushes for Adult | Wooden toothbrushes


assistant
Answer: B,A