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: 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: hanging egg chair without stand
Product list:
A: SUNCREAT Hammock Chair Hanging Rope Swing Seat-Max 450lbs Capacity, Extra Large Macrame Hanging Swing with Side Pocket, Two Seat Cushion, Beige
B: Hammock Chair Stand Hanging Chair Stand w/ Solid Steel Heavy Duty C Stand and Hook for Hanging Chairs, Swings, Loungers, Cocoon Chairs Great for Indoor/Outdoor Hanging Hammock Air Porch Swing Chair
C: Christopher Knight Home CKH Wicker Tear Drop Hanging Chair, Brown
D: Modway EEI-2658-YLW-WHI-SET Bean Wicker Outdoor Patio Swing Chair Set with Hanging Steel Chain, Without Stand, Coffee White


assistant
Answer: D,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: eggs brown large
Product list:
A: Eggshell Pysanka dye color brown DIY Easter eggs color red acid based aniline powder dye
B: Handmade Rooster Collage Black Brown 10 Pocket Apron (Pockets Hold Eggs) Made in the USA!
C: Child Youth Brown Animals Egg Gathering or Collecting Apron. Made in the USA!


assistant
Answer: 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: Given a query and a product, identify if the product is somewhat relevant to the query. It fails to fulfill some aspects of the query but the product can be used as a functional substitute. Only output yes or no.

Input:
Query: generic remote for insignia
Product: Remote Control for Samsung-TV-Remote All Samsung LCD LED HDTV 3D Smart TVs Models


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: 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: exercise without exercise
Product list:
A: Large yoga mat 6x4  Extra Large Yoga mat thick 6x4x8mm (72x48), Large workout mat, Barefoot exercise mat, Workout mats for home gym, Eco Friendly Yoga Mat for men, women and kids, Fitness mats for exercise, Use without Shoes
B: Keolorn Large Yoga Mat 72"x 24"(6'x2') x 6mm Non-Slip Black Workout Mats for Home Gym Flooring - Plyo, Jump, Cardio, MMA Mats Treadmill mat Anti-Tear Exercise Mat Use with or Without Shoes
C: Osteoporosis Diet: Your Complete Guide to Prevent and Reverse Bone Loss Using Natural Remedies, Diet and Exercise without Medication
D: 6 Ways to Lose Belly Fat Without Exercise!


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

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


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

Input:
Query: chinese writing pad
Product: ELTNEGSA Total 60PCS Writing Paper Letter Set (40 stationery Papers + 20 Envelopes) 10 Different Color Ink Painting Classic Vintage Antique Design

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: hippy tee shirts
Product list:
A: Koloa Surf Ladies Colorful Tie-Dye V-Neck T-Shirt-Rainbow-L
B: Let That Sh*t Go | Funny Zen Buddha Yoga Mindfulness Peace Hippy Women's T-Shirt-(Vneck,M)
C: ALLEGRACE Womens Casual Scoop Collar Plus Size T Shirts Summer Tops Tee Lake 2XL


assistant
Answer: B,A,C
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: Keeps you cool, but looks horrible on a guy with a smaller frame.

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

Input:
Query: apple watches without bands
Product: Apple Watch Series 5 (GPS + Cellular, 40mm) -  Stainless Steel Case with Milanese Loop

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: apple watch without band
Product list:
A: (Renewed) Apple Watch Series 5 (GPS + Cellular, 44MM) - Space Gray Aluminum Case with Black Sport Band
B: Wristcam, Apple MFi-Certified Modular Camera Smartband for Apple Watch, 42/44/45 mm, Black, 8MP+2MP Cameras, 4K Photo, 1080p Video, 8GB Storage, WiFi, Bluetooth 5, IP68 Water Resistant
C: EOMTAM 14 Pack Bands Compatible with Apple Watch Bands 45mm 44mm 42mm 41mm 40mm 38mm Women Men, Soft Replacement Silicone Strap Sport Band Compatible for iwatch Series 7 SE 6 5 4 3 2


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: 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: bestway ground cloth
Product list:
A: Bestway 58002 Swimming Pool Ground Cloth, 13 by 13-Feet
B: Bestway 56717E Power Steel Swim Vista 18' x 9' x 48" Outdoor Oval Above Ground Swimming Pool Set with 1500 GPH Filter Pump, Pool Cover, and Ladder
C: WAENLIR 5.8oz Heavy Duty Weed Barrier Landscape Fabric,Premium Durable Weed Blocker Cover,Outdoor Gardening Weed Control Mat 3ft x100ft
D: Bestway 24' x 12' x 52" Power Steel Frame Above Ground Rectangular Swimming Pool Set w/ 1500 GPH Sand Filter Pump, Cover, Ladder, & Ground Cloth


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: 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: low voltage t connector waterproof
Product list:
A: TICONN 240PCS T-Tap Wire Connectors, Self-Stripping Quick Splice Electrical Wire Terminals, Insulated Male Quick Disconnect Spade Terminals Assortment Kit with Storage Case (240)
B: Tatuo 15 Pieces of 2 Pin 2 Way Wire Connectors Low Voltage Universal Compact Wire Connectors without Wire-Stripping for 18-22 AWG Cable, T Tape


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: 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: cold brew ball jar
Product: Ultra-Fine Mesh Cold Brew Coffee Filter to Use with 2-Quart Mason Jar

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: 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: mini bags of coffee
Product list:
A: Maxwell House Master Blend Medium Roast Ground Coffee (1.25 oz Bags, Pack of 42)
B: This Travel Coffee Machine Bag / Case fits the Breville Nespresso Essenzo Mini and De'Longhi Pixie and CHULUX Single Serve Coffee Maker and Capsules


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: bluetooth pool thermometers
Product list:
A: Ambient Weather WS-100-F007PF Smart Home Weather Station WiFi Module w/Pool & Spa Sensor
B: SensorPush HT.w Wireless Thermometer/Hygrometer Water-Resistant for iPhone/Android. USA Made Indoor/Outdoor Humidity/Temperature/Dewpoint/VPD Monitor/Logger. Smart Sensor with Alerts
C: Ultra Small and Accurate Bluetooth Thermometer, Hygrometer and Dew Point Sensor and Logger. Long Battery Life and Wireless Range, Calibrated Sensor, Massive Storage and Easy Export. USA Made.


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: miami dolphins mens shirt 4xl
Product list:
A: NFL Men's Helmet Logo T-Shirt by G-III, San Francisco 49ers, Large
B: Wild Bobby Miami Fans | MIA Fantasy | Mens Sports Graphic T-Shirt, Heather Grey, 4XL
C: CSHASHA Hoodie Pullover Sweatshirts - NFL Miami Dolphins Rugby Fan Unisex Hooded Zip Sportswear Spring Long Sleeve Outerwear - Teens Gift Yellow+Blue-XXL


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: boy butter original 4 oz
Product list:
A: Magical Butter machine 21UP silicone Non-Stick butter Tray
B: LUMIFY Redness Reliever Eye Drops 0.25 Ounce (7.5mL)
C: 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
D: 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: D,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: 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: self leveling epoxy compound
Product list:
A: Vitrex Spiked Screeding Compound Roller 20" x 1" (500mm X 20mm)
B: Sikaflex -1C SL High Performance (29 0z), Self-Leveling Polyurethane Sealant - Case of 12 Cartridges in Limestone


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: 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: dress casual shoes for men
Product: Dr. Scholl's mens Sync Oxford, Black, 13 US

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


assistant
Answer: 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.