JackyChunKit/Qwen3_SFT_Post huggingface dataset:
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: Carefully assess the user's review for any strong expressions of sentiment, either positive or negative. Based on your analysis, select the most fitting sentiment option from the provided list as output.

Input:
User Review: Works great, awesome unboxing presentation, wish I could have picked the color since my rig is blue and black, plastic bits feel a little cheap connected to the brushed aluminum. The software required tweaking to get full color depth, but after that I'm really happy with it, especially for backing up family VHS tapes!

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 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: tour pack silver
Product list:
A: Laser Cut Inner Base Reinforement Metal Plate 2mm thick Fit for 2014+ Harley Touring Rushmore Chopped King Tour Pak Razor Touring Pack
B: PGA TOUR Big Flat Front Solid Golf Pant, Silver Lining, Boys XL (18-20)
C: Amazicha Detachable Two 2 Up Tour Pack Pak Luggage Rack Mounting Rack Black Compatible for Harley Davidson Touring Street Glide/ Electra Glide/ Road Glide/ Road King 2014-2021


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: snack bars without sugar
Product list:
A: ALOHA Organic Plant Based Protein Bars - Coconut Chocolate Almond - 12 Count, 1.98oz Bars - Vegan, Low Sugar, Gluten Free, Paleo, Low Carb, Non-GMO, Stevia Free, Soy Free, No Sugar Alcohols
B: KIND Nut Bars, Maple Glazed Pecan and Sea Salt, 1.4 Ounce, 24 Count, Gluten Free, 5g Sugar, 5g Protein


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: 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: #2 pencils with erasers sharpened not soft
Product list:
A: TICONDEROGA Tri-Write Triangular Pencils, Standard Size Wood-Cased #2 HB Soft, Yellow, 8-Pack (13852)
B: ezpencils - Red Barrel Golf (1/2 a pencil - Pew pencils) Hexagon Pencils with Eraser - 48 pkg - Non-Smudge Eraser - # 2 HB Lead - Sharpened - NEW


assistant
Answer: A,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: Given the title of two products, predict if the two products are similar, if the two products will be purchased or viewed together. Answer only from the options.

Input:
Product 1: 5 Packs of 10 (total 50) Pcs Disk/tablets Charcoal for Incense/hookah -Quick &amp; Long Lasting
Product 2: Kwik Lite Brand Quick Lighting Long Lasting Incense Burner Charcoal Briquette Tabs - 100 Per Box

Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.


assistant
Answer: B
Task: 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 assess the level of relevance between them, and then output the corresponding option that best describes this relevance.

Input:
Query: leather nanicure travel kit
Product: iCAGY Nail Clippers Manicure Pedicure Set Grooming Kit Stainless Steel Professional Tools for Men Women Home Travel Gift, 21 in 1 Blue Case

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: A: The product is relevant to the query, and satisfies all the query specifications.
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: tena overnight underwear for women
Product: TENA for Women Heavy Protection Underwear, Super Plus Absorbency, XL, 14 Count by TENA

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 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: light without shade
Product list:
A: Bedside Table Lamp Modern Table Lamps Classic Nightstand Desk Light with Metal Base and White Cream Color Linen Fabric Shade for Bedrooms, Living Room, Cafe, Office
B: Lutron Caseta Wireless Single-Pole/3-Way Smart Lighting Lamp Dimmer and Remote Kit | P-PKG1P-WH-R | White
C: HAITRAL Vintage Steampunk Lamp - Antique E26 Edison Bulb Industrial Desk Lamp, Minimalist Loft Style Accent Lamp for Living Room, Office, Cafe, Pub (Bulb Not Included)
D: FRCOLOR Rattan Basket Ceiling Pendant Light Shade Bamboo Dome Wicker Chandelier Lampshade Hanging Decorations Rustic Japanese Lamp for Home Decor Without Light


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: 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: dr brown bottles without vent
Product list:
A: Dr. Brown's Options+ First Year Anti-Colic Bottle Gift Set with Sippy Cup, Baby Bottle Brush and Teether - Pink
B: Dr. Brown's Options+ Anti-Colic Baby Bottle Gift Set with 4oz and 8oz Bottles and PreVent Pacifier
C: Dr. Brown's 8 Oz Options Narrow Bottles, 2-Pack


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: 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: shakey graves dearly departed
Product list:
A: Dearly Departed
B: Dearly Departed General
C: Dearly Departed: A Reverse Harem Academy Romance (Afterworld Academy Book 1)


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: 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: 8 inch chair legs
Product list:
A: 8 inch / 20cm Furniture Legs, La Vane Set of 4 Aluminium Plinth Adjustable Cabinet Feet Matte Black for Cupboard Sofa Kitchen Couch Bookcase
B: #CL713 8" Brown Walnut Finish Ottoman/Couch/Sofa Wooden Legs - Set of 4
C: AORYVIC Angled Furniture Legs Slanted Wood Legs for Ottoman Bench Coffee Table Pack of 4 (8 inch high)


assistant
Answer: C,B,A
Task: Product_Substitute_Identification

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


user 
Instruction: 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: boys purple under armour shirt
Product: Under Armour Boys' HeatGear Armour Long Sleeve T-Shirt , White (101)/Mod Gray , Youth Large


assistant
Answer: yes
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: Mean Well NES-350-24 24V 350 Watt UL Switching Power Supply 120 Volt
Product 2: Mean Well NES-350-36 36V 350 Watt Ul Switching Power Supply 110-240 Volt

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: 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: This camera worked for about 3 dives. The button on the outside housing that turns on the flash broke off, which pretty much is a necessity underwater so now the pics don't turn out good. Also, the little crank that is supposed to wind the film in sometimes does, and sometimes doesn't, and I had to ruin film learning this. There is really no way to tell from the outside whether its fully wound or not. The camera also jams half way through the film more times than not.

Good for 1-2 uses, you'll get about 4 decent shots out of a whole roll of film, but I'm saving up for underwater housing for my regular digital camera. Vacation pictures are just too important to mess up with this thing.

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: 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: king size bed spreads not comforters
Product: Great Bay Home 3-Piece Coastal Beach Theme Quilt Set with Shams. Soft All-Season Luxury Microfiber Reversible Bedspread and Coverlet. Westsands Collection (Twin, Multi)

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: 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: 2 inch workout mat
Product: BalanceFrom 1.5" Thick Tri-Fold Folding Exercise Mat with Carrying Handles for MMA, Gymnastics and Home Gym Protective Flooring (Black)

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 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: wall shelves without nails
Product list:
A: Wall Mounted Small Floating Shelf Stick On Wall Shelves for Bedroom,Kitchen,Bathroom Bedside Shelves to Display Speakers,Photo Frame,Watch,Keys,Cosmetics-Damage Free-Plastic-White(1Pcs/Set)
B: Wooden Moon Shelf Decor Wall, Wall Hanging Shelf Set Black, Display Shelves Moon Display Stand Decoration, Crescent Moon Hanging Shelves for Wall - 14"x14"
C: AMADA HOMEFURNISHING White Floating Shelves Wall Mounted, Large Golden and White Shelves for Wall, Wood Storage Shelf for Living Room, Bedroom, Bathroom, Kitchen, Office


assistant
Answer: A,B,C
Task: Query_Product_Rank

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


user 
Instruction: 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: whole 30 snacks
Product list:
A: Simple Mills Almond Flour Crackers, Rosemary & Sea Salt, Gluten Free, Flax Seed, Sunflower Seeds, Corn Free, Low-Calorie Snacks, Nutrient Dense, 4.25oz, 3 Count
B: nutpods Variety 3 pack, Original, French Vanilla and Hazelnut Unsweetened Dairy-Free Liquid Coffee Creamer Made From Almonds and Coconuts


assistant
Answer: B,A