JackyChunKit/Qwen3_SFT_Post huggingface dataset:
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: t strap sandals for women
Product: Dolce Vita Women's Marly Flat Sandal,Black,8.5 B(M) 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.
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: tops tom brown tracker
Product list:
A: Off-Grid Knives - Alpha-Dog Heavy Duty Fixed Blade Knife, 5mm Thick Cryogenic D2 Blade Steel, Full Tang, G10 Scales, XL Handle
B: Ka-Bar 1278 KA bar, Heavy-Duty Warthog W/Sheath
C: Whole Earth Supply Extra Large - Dark Brown Thick Leather Tracker Sheath Blade Knife Blanks Knives


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: 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: casual barefoot shoes
Product list:
A: SIMARI Unisex Water Sports Shoes Barefoot Slip-on Indoor Outdoor Sports Activities Summer 206 Black
B: NYZNIA Women's Water Shoes Barefoot Quick Drying Sports Shoes for Beach Swim Lightweight Slip On Walking Casual Shoes Black White Size 10


assistant
Answer: B,A
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: Analyze the titles of Product 1 and Product 2 to determine if they are similar, if they will be purchased or viewed together, and choose the corresponding option.

Input:
Product 1: Country House Collection 8&quot; x 8&quot; Mini Burlap Pillow &quot;Bushel and a Peck
Product 2: Small Country Mr. &amp; Mrs. Pillow

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: A
Task: Query_Product_Rank

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


user 
Instruction: Analyze the query and each product title. Sort the products in descending order based on their relevance to the query. The most relevant product should be at the top of the list, and output the ranked list.

Input:
Query: vans toddler clothes
Product list:
A: Van Heusen Baby Boys' Toddler Four Piece Suspender Set, poplin Academy Blue, 3T
B: Vans Girls' No Show Canoodle Socks - 3 Pack - Girls Shoe Size, Multi, Size 7-9
C: Vans Men Classic Logo T-Shirt (S, Burgundy/Black)


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: 0g earrings not tapered
Product list:
A: BodyJ4You 54PC Gauges Kit Ear Stretching 14G-00G Black Acrylic Spiral Tapers Plugs Piercing Set
B: Pierced Owl White Iridescent Glass Handcrafted Spiral Taper Plugs, Sold as a Pair (6mm (2GA))


assistant
Answer: 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: Check if a product can function as a substitute for a given query, even if it doesn't fully meet all requirements. Output yes if it can or no otherwise.

Input:
Query: canon rebel t5 memory card
Product: SanDisk 128GB Extreme PRO SDXC UHS-I Card - C10, U3, V30, 4K UHD, SD Card - SDSDXXY-128G-GN4IN


assistant
Answer: yes
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: If you need a 15 foot extension cable for your

keyboard or mouse, then this one should work just fine.

My key strokes are going through it right now as I type this review :-)

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: #this is not a truck decals
Product list:
A: YES BOYS This IS My Truck ! Decal Sticker Available in 4 Camo Colors
B: I'm Not Gay But My Boyfriend is Funny Decal Vinyl Sticker|Cars Trucks Vans Walls Laptop| White|7.5 x 2.1 in|DUC562
C: This is The Way Helmet Quote Decal Vinyl Sticker |Cars Trucks Vans Walls Laptop|White|5.5 x 4.0 in|MAZ-383
D: Chase Grace Studio God is Greater That Highs and Lows Christian Mountains Vinyl Decal Sticker|White|Cars Trucks SUVs Vans Laptops Walls Glass Metal|6.5" X 4.5"|GS1102


assistant
Answer: A,B,D,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: What is the relevance between the query and the product title below? Answer from one of the options.

Input:
Query: artists taboret
Product: KINGRACK 3-Tier Storage Rolling Cart, Metal Push Cart with DIY Pegboard, Trolley Organizer with Utility Handle and Extra Baskets Hooks for Kitchen Office Home, Grey

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: 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: color changing ink calligraphy
Product list:
A: Dr. Ph. Martin's Iridescent Calligraphy Color (11R) Ink Bottle, Copper Plate Gold
B: Calligraphy Set for Beginners - Wax Seal Stamp - 2 Dip Pens - 4 Different Calligraphy Ink Bottles - 14 Hand Lettering Worksheets - 11 Dip Pen Nibs


assistant
Answer: B,A
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: Analyze the titles of Product 1 and Product 2 to determine if they are similar, if they will be purchased or viewed together, and choose the corresponding option.

Input:
Product 1: Charging Connector Port Flex Cable for Samsung Galaxy Tab 3 10.1 P5200 P5210
Product 2: Micro USB Jack / Charging Port Receptacle Replacement Part for Dell Venue 8 Pro 32GB Tablet

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: 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: hitachi magic wand with speed controller
Product list:
A: Wand Massager Speed Controller for Hitachi Wand
B: EBike Speed Motor,48V, 60V, 64V, 72V, 84V Universal Brushless Controller 3Mode Sinusoid 12 Tube Fit for Electric Scooter
C: The Original Magic Wand with Free IntiMD Tri-Tip Trigger Point Massage Attachment


assistant
Answer: C,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: 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: I must confess.  It took awhile for me to remember that 30cm is approx a foot and runner lengths are given in their reach.  I sew my own now so its really ingrained.  If I want a 120cm or 4 ft runner I need 8 ft of webbing plus the extra 4 inch's I use as a sewing allowance.  I really like nylon runners.. I think their far superior to the new synthetics like Dyneema and Spectra.  They take a sudden load better.. go to DMM and watch their video on runners and drop tests.  I think you'll agree.. Better than worrying about factory size's, sew your own.  Make them any length you want and fix up the old slings on those cams at the same time.  In a year or so you'll save up enough dough to buy a whole new set of cams.  You can buy bulk webbing right here on Amazon.

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


assistant
Answer: A: very positive
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: i've been using this respirator for light woodworking in my basement where the dust pretty much stays airborne until it goes into my lungs. it's done it's job very well with little discomfort and no failures so far. i do notice it, but not as much as i thought i would. i can see it being a chore to wear in the garage during the summer, though. i also wear glasses and haven't had issues with fogging or fit. as a plus, i just received some Dewalt safety goggles and they fit with the respirator (although my glasses are a tight fit under all that). i plan on using this setup at work where, especially in the summer, we are in the parts washer a lot and i often come home with crud up my nose and eyes burning from all the airborne junk.

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


assistant
Answer: A: very 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: pretend washer and dryer for kids
Product list:
A: Melissa & Doug Condiments Set (6 pcs) - Play Food, Stainless Steel Caddy
B: MeeYum Pretend Play Mini Wash, Dry and Iron Laundry Set


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: hammocks for outside without stand
Product list:
A: HENG FENG 2 Person Double Hammock with 12 Foot Portable Steel Stand and Curved Bamboo Spreader Bars, Detachable Pillow, Quilted Fabric Bed, Blue & Aqua
B: SUNCREAT 55 Inch Extra Large Double Hammock with Stand, 475lbs Capacity, Outdoor Portable Hammock with Hardwood Spreader Bar, Extra Large Pillow, Grey
C: HENG FENG 2 Person Double Hammock Quilted Fabric with Detachable Pillow and Curved Bamboo Spreader Bars, Blue Stripe


assistant
Answer: C,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: 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: This does a wonderful job on pet hair.  Powerful, lightweight and terrific on carpeted stairs.

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: sequin muffin top underwear women
Product list:
A: 5-Pack High Waist Tummy Control Panties for Women, Cotton Underwear No Muffin Top Shapewear Brief Panties (5-Pack, X-Large)
B: INNERSY Womens Cotton High Waisted Underwear Regular & Plus Size 5-Pack(Large,Basics)


assistant
Answer: B,A