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: 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: electric fireplace without heater
Product list:
A: Homedex 50" Recessed Mounted Electric Fireplace Insert with Touch Screen Control Panel, Remote Control, 750/1500W, Log/Crystal Options
B: Duraflame 3D Infrared Electric Fireplace Stove with Remote Control - Portable Indoor Space Heater - DFI-5010 (Bronze)
C: Ameriwood Home Farmington Electric Fireplace TV Console for TVs up to 60", Rustic
D: Dimplex Featherston Electric Fireplace Mantel Package - GDS26-1152LR


assistant
Answer: D,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: ice cream 4t shirt
Product list:
A: Gerber Baby Girls' 2-Piece Tank and Bike Short Set, Blue Ice Cream, 4T
B: Ice Cream Lover T-Shirts for Summer
C: Hatley Girls' Little Short Sleeve Rash Guards, Ice Cream Treats, 4 Years


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: boy butter original 4 oz
Product list:
A: Live Bearded: Beard Butter - American - Leave in Conditioner for Beards - 3 oz. - Moisturize, Style, Condition - All-Natural Ingredients with Shea Butter - Light to Medium Hold - Made in the USA
B: Similac Pro-Advance* Infant Formula with Iron, 3 Count, with 2-FL HMO for Immune Support, Non-GMO, Baby Formula Powder, 36-Ounce Cans


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: princess cake pan
Product list:
A: Springform Pan set,Nonstick Leakproof 3pcs(4"/7"/9") Cake Pan Bakeware Cheesecake Pan with 50 Pcs Parchment Paper Liners by MASSUGAR (3)
B: Tara Toys Disney Princess Necklace Activity Set, 9.7x8.18x2
C: Real Cooking Princess Cakes Deluxe Baking Set - 22 Pc. Kit Includes Cake Mix, Fondant, and Sprinkles
D: DecoSet Disney Princess Once Upon a Moment Cake Topper, 3-Pc Decorations Set with Aurora, Belle, and Cinderella Collectible Figure for Hours of Fun After the Party


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

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


user 
Instruction: Predict whether two products are similar, whether two products are likely to be purchased or viewed together based on their titles. Choose your answer from the provided options.

Input:
Product 1: Appletree Design Country Guitar Ornament, 5.2-Inch Tall, Includes String for Hanging
Product 2: Appletree Design Penguin with Gift Ornament, 3-1/8-Inch Tall, Includes String for Hanging

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: butter cookie
Product list:
A: Walkers Shortbread Pure Butter Traditional Assortment, Traditional Butter Shortbread Cookies, 17.6 Ounce, Assorted
B: OREO, CHIPS AHOY! & Nutter Butter Cookies Variety Pack, Family Size, 3 Packs


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

Input:
User Review: This UV filter renders the Rokinon 85mm f/1.4 useless because of the noticeable glare it produces. I gave it away to my friend who uses it only for protection.

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


assistant
Answer: C: neutral
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: it's not you, it's them...and you
Product: Why Customers Don't Do What You Want Them to Do--and What to Do About It

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: 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: hemp coffee
Product list:
A: Bolio Hemp Cloth - Flat Bottom No 6. Reusable Coffee Filter - Compatible with Bodum 11571-109 Pour Over Coffee Maker and all no 6 flat coffee makers(No. 6 Filter - 1pk))
B: Superbrain Coffee Creamer | Vanilla | Keto & Paleo | Brain & Body Fuel | MCT Oil, Reishi Mushroom, Alpha GPC, L- Theanine, Bacopa, GABA | Focus & Memory | Non-Dairy | 20 Servings | Livit Creamer
C: BIXSHER High-Strength-Hemp-Oil-5000MG, 100% Pure-Natural, Pain-Stress-Anxiety-Relief, Vegan Source-Omega-3-6-9, Helps-Sleep-Skin-Hair, Multi-Vitamin, Rich-Fatty-Acids
D: Natures Edge Peace and Wellness - Light Roast Coffee + High Potency Hemp Oil + Hemp Protein + MCT OIL


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

Input:
Query: makerbot silicone
Product: 3D Printer Nozzle Heater Kit, Aluminum Heater Block +1.75mm Extruder Teflon Throat Tube M6 Thread +0.4mm Brass Extruder Nozzle +Silicone Heater Socks for E3D V6 Makerbot RepRap 3D Printers (20 PCS)


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: 'love not perfect inspirational family' canvas
Product list:
A: Kas Home Family Sign Wall Decorations for Living Room Inspirational Quotes Wall Art Motto Canvas Prints, Framed Home Decor Wood Grain Background HD Vintage Plaque Wall Decor (Family,5.5 X 16.5 inch)
B: Kas Home Family Wall Decor, Wall Art for Living Room Set of 3 Inspirational Canvas Prints, Framed Wood HD Modern Background Home Decor (Family-3W, 12 x 15 x 3)
C: Zephyr Quote I Canvas Wall Art Print, Inspirational Artwork
D: Inspirational Wall Art, Motivational Wall Art, Office Wall Decor, Wall Art for Living room and Bedroom, Office Decor (Set of 6, 8X10in, Unframed)


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: 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: phone without sim card
Product list:
A: DOOGEE S59 Pro Unlocked Rugged Smartphone 10050mAh Battery 4GB+128GB Unlocked Cell Phones 2W Loud Speaker 16MP Camera Android 10 5.71" Screen Helio P22 Waterproof Phone Unlocking(Black)
B: Tracfone Carrier-Locked Alcatel MyFlip 4G Prepaid Flip Phone- Black - 4GB - Sim Card Included a CDMA (Renewed)
C: Tracfone Samsung Galaxy A10e 4G LTE Prepaid Smartphone (Locked) - Black - 32GB - SIM Card Included - CDMA


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: 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: mens bathroom bundle
Product list:
A: Elviros Toiletry Bag for Men, Large Travel Shaving Dopp Kit Water-resistant Bathroom Toiletries Organizer PU Leather Cosmetic Bags
B: Dove More Moisturizing than Bar Soap, Cucumber and Green Tea Beauty Bar, 3.75 Ounce, 16 Count (Pack of 1)
C: Burt's Bees Fabulous Mini's Travel Set, 6 Travel Size Products - Cream Cleanser, Day Lotion, Deep Cleansing Cream, Body Lotion, Foot Cream and Hand Repair Cream


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: 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: Extremely difficult to project the lenses so that the farthest objects are clearly visible as well as extremely bulky.

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: 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: head and eye massager
Product list:
A: USAGA 28 Fingers Head Massager Head Scratcher Scalp Massager for Head Body Relaxing Wood Handle (2 Pack)
B: iVOLCONN Eye Massager with Heat and Vibration, Compression Bluetooth Music Temple Electric Eye Massager for Relax and Relieve Eye Strain Eye Bags Dry Eye Dark Circles Improve Sleep
C: Health 3 Piece Set Include Portable extendable Back Scratcher, Bear Claw Telescoping Back Scratcher.Scalp Head Eyes Massager Massage
D: Huggaroo Gem, Unscented | Heated Eye Mask and Gel Ice Pack for Migraine and Tension Headache Relief, Dry Eye Relief, Stye Treatment, Eye Care


assistant
Answer: C,A,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: 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: 1/4 air hose reel without hose
Product list:
A: YOTOO Hybrid Lead in Air Hose 3/8-Inch by 6-Feet 300 PSI Heavy Duty, Lightweight, Kink Resistant, All-Weather Flexibility with Bend Restrictors, 1/4-Inch Industrial Quick Coupler and Plug, Blue
B: Hromee Air Compressor Hose Reel with Automatic Retractable Enclosed 3/8 Inch  50 Feet Hybrid Pneumatic Hose, Fittings and Swivel Mount Bracket MAX. 300PSI
C: WYNNsky Retractable Air Compressor Hose Reel, 3/8 Inch  50 Feet Hybrid Hose, Universal Coupler and Industrial Plug, 1/4 Inch Body, 1/4 Inch NPT, Swivel Mount Bracket


assistant
Answer: C,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: Great Value. Purchased these to replace some older model League equipment. Can't go wrong with Schutt gear.

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


assistant
Answer: C: neutral
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: crystal sopa bar with sandalwood
Product: O Naturals 3 Piece Moisturizing Organic Coconut Oil, Shea Butter Bar Soaps. Softens, Nourishes Dry Skin & Sensitive Skin. Face, Hands & Body Soap. Made in USA. Triple Milled, Vegan 3pk 12oz Total

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: 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: nora fleming witch hat
Product: Nora Fleming Stoneware Pedestal Server C6

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.