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: 1/2cc syringe without needle multiple use glass
Product list:
A: BSTEAN Syringe Blunt Tip Needle and Cap - 10ml, 5ml, 3ml, 1ml Syringes 14ga 16ga 18ga 20ga Blunt Needles - Oil or Glue Applicator (Pack of 10)
B: OakRidge Products 1 Quart Size (Pack of 3) Sharps Disposal Container - Approved for Home and Professional use
C: 6 Pack 20ml Syringe Without Needle - Syringes for Lip Gloss, Large Plastic Syringes for TKB Lip Gloss Base (Versagel),Scientific Labs, Dispensing, Measuring, Watering, Refilling,Multiple Uses
D: 10 ml / 10 cc / 2 tsp Oral Medication Dispenser - Syringe 10cc Without Needles (Pack of 5 High Quality Syringes, 10ml) - Ideal for Also Measuring Essential Oils, E-Liquids, and Formulas


assistant
Answer: C,A,B,D
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: downton abbey movie
Product: S1 Trailer

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: 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: tween mermaid bathing suit
Product: LOSORN ZPY Baby Girl Swimsuit Two Pieces Toddler Kid Long Sleeve Rash Guard UPF 50+ (5-6 Years Old/L) Navy

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: 10.1 tablet without lock screen ads
Product list:
A: Dragon Touch Notepad K10 Tablet, 10 inch Android Tablet, 2GB RAM 32GB Storage, Quad-Core Processor, 10.1 IPS HD Display, Micro HDMI, Android 9.0 Pie, 5G WiFi, Metal Body Black
B: Pritom 7 inch Kids Tablet, Quad Core Android 10, 16GB ROM, WiFi, Bluetooth, Dual Camera, Educationl, Games, Parental Control, Kids Software Pre-Installed with Kids-Tablet Case (Light Pink)


assistant
Answer: A,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: Evaluate the relevance between the query and product title, and choose the most accurate option from the given options.

Input:
Query: pens blue and black
Product: Retractable Rollerball Gel Pen, Fine Point 0.5mm Metal Tip Quick Dry Black Blue Red Gel Ink Pens (Pack of 12)

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: 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: 10x 13 picture without the frame
Product list:
A: Medog 11x14 Picture Frame Set of 2 Display Pictures 11x14 without Mat For Display Pictures 11 by 14 Inch Document Certificate Frames If Add Mat Can As 9x11 10x12 8x10 7x11 7x9 6x8 5x7 4x6 Frame (2 Pack P1K)
B: Frametory, 11x14 Aluminum Frame with Ivory Mat for 8x10 Pictures/Photos - Wall Mounting, Real Glass, Swivel Back Tabs, Sawtooth Hanger, Portrait/Landscape Display Metal Collection (Gold, 1-Pack)
C: Frametory, 11x14 Aluminum Photo Frame with Ivory Color Mat for 8x10 Picture & Real Glass, Metal Picture Frame Collection (Gold, 1-Pack)


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: tervis tumbler 24 oz without lid
Product list:
A: Tervis 1257888 Harry Potter - Glasses and Scar Insulated Tumbler with Wrap and Black Lid, 16 oz Mug - Tritan, Clear
B: Insulated Tumblers 4-pack 16 oz Made in USA Great for Iced Coffee & Hot Drinks, Clear Double Wall Plastic Tumbler Cups, Microwave, Freezer & Top Rack Dishwasher Safe Reusable Cups by Homestead Choice
C: Tervis Green Turtle Tumbler with Emblem and Hunter Green Lid 24oz, Clear


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: spears 1 pvc cap
Product list:
A: Spears 856 Series PVC Pipe Fitting, Van Stone Flange, Class 150, Schedule 80, 1" Spigot
B: Spears 848 Series PVC Pipe Fitting, Cap, Schedule 80, 1" NPT Female
C: C447-012 11/4 CAP (SLIP)


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: new blue rays
Product list:
A: New LG UBK90 UHD Streaming - 4K - 2D/3D - Region Free Blu Ray Disc DVD Player - PAL/NTSC - USB - 100-240V 50/60Hz for World-Wide Use & 6 Feet Multi System 4K HDMI Cable
B: The Emperor's New Groove / Kronk's New Groove (Three-Disc Special Edition) [Blu-ray / DVD]
C: The Guns of Navarone [4K UHD] [Blu-ray]


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: 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: 70 lb resistance band
Product list:
A: Pull Up Assist Band by 4KOR Fitness Heavy Duty 41" Resistance Loop Band for Mobility, Crossfit, Weightlifting, Therapy, Home or Gym Workouts and More (Midnight Black - 20 to 70 Pounds - 0.8 Inches)
B: GoFit Power Tubes  Latex Rubber Resistance Band Tubes for Home Fitness and Strength Training - 70 pounds, Yellow, GF-ST70


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: 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: girls size 6 color block coat
Product list:
A: Tommy Hilfiger Girls' Colorblocked Dress, Color Block Fiery Red, 6
B: Skechers Girls' Little 2-Piece Heavyweight Snowsuit, Silver Metallic/Pink, 6X
C: Carhartt Little Girls' Wildwood Jacket Quilt Lined, Raspberry Rose, X-Small/6


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: depth finder and water temp for hoat
Product list:
A: Garmin Striker Plus 4 with Dual-Beam transducer, 010-01870-00
B: Lowrance HOOK Reveal 7x SplitShot - 7-inch Fish Finder with SplitShot Transducer, GPS Plotter
C: LUCKY Portable Sonar Fish Finder Boat Depth Fishing Fish Finders Waterproof Handheld Wireless Fishing Finder Kayak Transducer Depth Finders for Ice Fishing Sea
D: Faria Ches Ss Wht S In-hull Tran -Depth Sounder Transducer


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

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


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

Input:
Query: stacking bowls toy
Product list:
A: Rainbow Nesting & Stacking Cups Baby Building Set. 10 Pieces. With Embossed Animal Characters. For Indoor, Outdoor, Bathtub, And Beach Fun Toy. Multi Colors
B: Fisher-Price Stacking Cups


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

Input:
User Review: This is a very cheap piece of glass and to top it I got a copy that is loose with no foam pad & folded catalog in the case. I think I got a returned item. Add $10 more and get a better filter.

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


assistant
Answer: D: 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: round blue frame glasses
Product: SOJOS Blue Light Blocking Computer Glasses Round Eyewear Anti Blue Light Lens Preppy Chic SJ5024 with Demi Frame/Anti-Blue Light Lens

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: 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: Most of the OXO products hold up but this grater broke grating cheddar cheese. After writing this review, I'm going to order an all metal grater.

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: 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: I want a laptop that allows me to play some older games, surf the internet, and watch dvd's and blu-ray disks. 
Product list:
A: Enough Social Interaction Graphic Novelty T Shirt L Black
B: External USB Blu-ray DVD CD Disc Player for HP Envy X360 X 360 13t 13 t 17t 17 M6 2-in-1 15.6" Touch Screen Laptop, BD-ROM Combo Blue-ray Reader 8X DVD+-R/RW 24X CD-R Burner Portable Optical Drive
C: ASUS Chromebook C223 11.6" HD Chromebook Laptop, Intel Dual-Core Celeron N3350 Processor (up to 2.4GHz), 4GB RAM, 32GB eMMC Storage, Premium Design, Red, C223NA-DH02-RD


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: 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: classic brand flannel jacket
Product list:
A: Harley-Davidson Men's #1 Genuine Classics Shirt Jacket, Black
B: Columbia womens Benton Springs Full Zip Fleece Jacket, Cirrus Grey Heather, Large US
C: Alimens & Gentle Men's Button Down Regular Fit Long Sleeve Plaid Flannel Casual Shirts Color: Red, Size: Medium


assistant
Answer: C,A,B
Task: Query_Product_Rank

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


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

Input:
Query: puma socks women no show white
Product list:
A: 3 pair Puma Sneaker Quarter Socks Unisex Mens & Ladies In 3 Colours, color:300 - white, Socken & Strumpfe:47-49
B: Puma Men's No show Sport Socks, Moisture Control, Arch Support (8 Pair)
C: Puma Mens Low Cut All Sport No Show Socks 6-Pair stock size 10-13 shoe size 6-12, White/Grey


assistant
Answer: A,C,B