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: 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: flamingo christmas sweater
Product list:
A: Deck the Palms Merry Pink Flamingo Christmas Hawaiian Long Sleeve T-Shirt
B: V28 Men's Christmas Reindeer Snowman Penguin Santa and Snowflake Sweater (Large, MeltDown)


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

Input:
User Review: It's not as good as the first one I purchased it doesn't wind up very much and it stops to soon. Not happy with this one.

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


assistant
Answer: E: very negative
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: grills for pontoon boats
Product: Docktail Butler Marine Food and Cocktail Table - Includes Adjustable Folding Rod Holder Mount - Large Serving Tray for Grill - Boat Cup and Bottle Holder - Boating Accessories Storage - Cockpit Dining

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: 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: Very convient and holds more than 20 cds if necessary. The Velcro straps let you access the mirror on your cars sun visors very easily and it also holds a pen. Very pleased with this product.

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


assistant
Answer: B: positive
Task: Query_Product_Rank

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


user 
Instruction: Evaluate each product title in the given list, assess its relevance to the given query, and then arrange the products in descending order of relevance, with the most relevant product at the top of the ranked list.

Input:
Query: laser copy paper for infusible ink
Product list:
A: Hammermill Laser Print Paper, 8.50 x 11-Inches, 500 Sheets ( HAM125534 )
B: TransOurDream Tru-Iron on Heat Transfer Paper for Dark Fabric (20 Sheets, 8.5x11") T shirt Transfers Paper for Inkjet Printer Printable Heat Transfer Vinyl for T-shirts (TOD-7)
C: OFFNOVA Sublimation Paper, 100 Sheets 8.5 x 11 Heat Transfer Paper for T-shirts, Works with any Inkjet Printers Epson, Sawgrass and Cricut Machines
D: Xerox Premium Laser Copy Paper, 98 Brightness, 24 lb, 8-1/2 x 11, White, 500 Sheets per Ream (3R13038)


assistant
Answer: A,D,C,B
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: hucow family
Product: Daddy's Little Hucow: Four Story Bundle

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


assistant
Answer: B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
Task: Sentiment_Analysis

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


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

Input:
User Review: I love the eureka mighty might cleaner as this is my second one.  However, when this one arrived, there was no floor cleaner brush in the box or any instruction booklet.  The box came sealed and in good shape so I am assuming it was not put in the box at the factory.  I do not want to return the whole cleaner as I still have the brush from the old cleaner that does not work.  Not sure how to ask for the missing floor brush, as the only option seems to be to return the cleaner.

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


assistant
Answer: E: very negative
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: mouthpiece for stylus
Product: Yamaha CM500 Headset with Built In 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: 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: 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: rocky mountain tumbler
Product list:
A: DYNAMIC SE 30oz Tumbler Double Wall Stainless Steel Vacuum Insulated Travel Mug with Splash-Proof Lid Metal Straw and Brush (Pink)
B: Ithywat Stainless Steel Vacuum Insulated Tumbler,Double Walled Stainless Mug,Cup with Spill Proof Lid, Outdoor Travel Mug 30 oz


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: fully vaccinated still not a hugger
Product list:
A: Fully Vaccinated Still Not a Hugger, Funny Pro Vaccine T-Shirt
B: INMOON Fully Vaccinated Still Not A Hugger T Shirt Vaccine Funny Saying Graphic Tee Cute Short Sleeve Shirts (Pink,XL,)
C: Fully Vaccinated Still Not A Hugger,Vaccine Quarantine 2021 T-Shirt


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: 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: infant boy white shorts
Product list:
A: LOOLY Unisex Baby Girls Boys Cotton Linen Blend Bloomer Shorts ,73,White
B: The Children's Place Baby Boys and Toddler Boys Chino Shorts, Black, 9-12 MONTHS
C: ROMPERINBOX Infant Baby Boys Dress Shirt Bodysuit Formal Short Long Sleeve Rompers for Wedding Party (White Short Sleeve, 12-18 Months)


assistant
Answer: A,B,C
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: DALSTRONG Chef's Knife - Shogun Series X Gyuto - Japanese AUS-10V - Vacuum Treated - Hammered Finish - 8&quot; - w/Guard
Product 2: Yoshihiro 150mm Inox Stain-Resistant AUS-10 Sabaki/Honesuki Japanese Chef Knife, 5.75-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: 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: weights for exercises
Product list:
A: Yes4All Vinyl Coated Kettlebell Weights Set  Great for Full Body Workout and Strength Training  Vinyl Kettlebell 10 lbs
B: Vive Body Weight Workout Poster - Bodyweight Exercises For Home Gym - Laminated Hitt Chart For Abs, Glute, Core, Legs, Arms, Back - No Equipment Needed - Large Cardio Board For Women, Men, Inspiration
C: BuildLife 1 Gallon Water Bottle - Motivational Fitness Workout with Time Marker/Drink More Daily/Clear BPA Free/Large 128OZ Capacity Throughout The Day(Purple,1 Gallon)


assistant
Answer: A,C,B
Task: Query_Product_Rank

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


user 
Instruction: Evaluate 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: ring light mirror
Product list:
A: UBeesize 10" LED Ring Light with Tripod Stand & Phone Holder, Dimmable Desk Makeup Ring Light, Perfect for Live Streaming, YouTube Videos, and Photography, 3 Light Modes and 11 Brightness Levels
B: Wondruz Makeup Mirror Vanity Mirror with Lights, 1x 2X 3X Magnification, Lighted Makeup Mirror, Touch Control, Trifold Makeup Mirror, Dual Power Supply, Portable LED Makeup Mirror, Women Gift
C: KDKD Lighted Makeup Mirror 1X 7X Magnification Double Sided Round Shape with Base Touch Button, Cordless and Rechargeable


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: inhaler spacer for adults without mask
Product list:
A: Vicks Vapo Portable Nasal Inhaler, Non-Medicated, Soothing Vapors to Breathe Easy, Menthol Scent, 2 Count
B: 86NEURONS - The Original Asthma Inhaler Travel case and Medicine Bag. Insulated Hard case. Use for Asthma Allergy meds for Kids and Adults. Fits Inhaler Spacer epipen mask Medication (red)
C: Spacer for Kids.Includes Mask.fits Any Size


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: 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: charger for samsung galaxy s10e
Product list:
A: USB Type C Charger Cable 6.6FT 2-Pack,Nylon Charging Cord for Samsung Galaxy Fold Note 10 9 S8 S9 S10 Plus S10E 10E S10+ S20 Ultra 20,A51 LG V50 V40 V35 V30 G7 G8 Thinq,Google Pixel 4 3 3a 2 XL,S21
B: Adaptive Fast Charger Compatible Samsung Galaxy S9 S9 Plus S8 S8+ S10 S10e Note 8 Note 9 Note 10, Wall Charger Adapter Block with USB Type C Cable Kit


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: trailer backup illumination lights led
Product list:
A: KUFUNG LED Truck Tailgate Light Bar Strip, 2 Row 60 Inch Waterproof Red White Reverse Brake Lights, Turn Signal Running for Truck, SUV, RV, Trailer, Accessories for Ford, Chevy, Dodge, GMC, Toyota
B: AMBOTHER LED Pods Light Bar 4-Inch 120-watt 12800-lumen Driving Fog Off Road Lights Triple Row Waterproof Spot Flood Combo Beam LED Cubes Lights for Pickup Truck ATV UTV Boat, 2 Pack
C: Kohree New LED Submersible Trailer Tail Light Kit, 12V LED Utility Trailer Lights DOT Approval, Fully Submersible License Lights and Wiring Kit Combined Stop,Taillights,Turn Function for Boat Trailer


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: meopro 80 hd angled
Product list:
A: Meopta 8594050733527 Binoculars, Black, Green
B: Handle Cabinet pulls, Kitchen Cabinet Handles Hole Center Retro Cabinet Pulls - Pulls Brushed Cabinet Hardware Pulls, 2 pcs
C: MeOpta MEOPIX Optics iPhone Adapter 49mm S2 Spotting Scope 543340
D: Avery Dennison PR800 Translucent Bottle Green 782-T 2ft x 10yd W/Application Card Graphic Vinyl Film Sheet Roll - for Cricut, Silhouette Cameo, Craft and Sign Cutters


assistant
Answer: D,A,C,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: 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: Returned. Did not like the way the top screwed on.

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


assistant
Answer: E: very negative