JackyChunKit/Qwen3_SFT_Post huggingface dataset:
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: orthopedic shoe wedges inserts
Product: Premium Adjustable Orthopedic Heel Lift for Heel Pain and Leg Length Discrepancies - Large Pack of 2


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: seventh generation toilet paper 48 count
Product list:
A: Compact Coreless 2-Ply Recycled Toilet Paper by GP PRO (Georgia-Pacific), 19378, 1,500 Sheets Per Roll, 18 Rolls Per Case
B: 100% Recycled Bathroom Tissue, 2-Ply, White, 240 Sheets/roll, 48/carton
C: Seventh Generation Paper Towels, 100% Recycled Paper, 2-Ply, 6-Count (Pack of 4)


assistant
Answer: B,C,A
Task: Query_Product_Rank

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


user 
Instruction: Given a query and a list of products denoted as A, B, C, ... with their titles, rank the products according to their relevance to the query. Output only a ranked list in which the most relevant product is at the top of the list.

Input:
Query: xs womens shirts
Product list:
A: Eddie Bauer Women's Favorite Short-Sleeve Crewneck T-Shirt, Black X-Small
B: YITAN Women Tees Teen Girl Tops Graphic Cute Funny T Shirt Black Small


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: 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: I would replace it with a soft gray wool sweater. The sweater should be warm but functional in all weather. The jacket should also be fashionable. 
Product list:
A: Black Coffee like my Soul Skeleton Drinking Coffee Funny Sweatshirt
B: No Shoulder Bumps No Mark Non-Slip Rubber Coated Contour No Bumps Hanger Sweater Hanger T-Shirt Hanger Suit Hanger with Pants Bar Pack of 10
C: Womens E-Girl Y2K Short Sleeve T-Shirt Graphic Print Harajuku Stitch Crop Tee Tops Summer Kawaii Kuromi Streetwear (O Brown, Hope Girl, S)
D: Disney Pixar SOUL The Village by Bee Harris & HUE Sweatshirt


assistant
Answer: D,A,C,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: crocs boots women
Product: Crocs Men's and Women's Classic Lined Clog

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: 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 is a cheap trackball mouse and not as good as the Microsoft trackball mouse that costs much more.  The small ball moves too easily, and it is hard to be accurate.  Since it is cheap, I didn't bother returning it.  I expected more from Logitech.

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


assistant
Answer: E: very negative
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: The instructions are on a folded up piece of paper, easy to miss.

7.75 inches tall (about 19.5 cm)

Pros:
Sprays a fine mist.

10 pumps yields 15 seconds (claimed and I tested and seems to be about right).  15 seconds is longer than you think, I need about 4 seconds of spray to coat a 12 inch pan.

You can use your own oil so you can choose what you like.

Cons:
Not dishwasher safe.  With oil, this makes it hard to clean.

No window to see how much liquid you have left, or how far to fill it to halfway  (you need an air gap because you are pressurizing the air, not the liquid)

The bottom of the cap is not finished well,  there were bits of aluminum that were rough sticking out.  I sanded them off but doing so scratched the aluminum up a bit.

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


assistant
Answer: C: neutral
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: barnett ghost 360 crossbow
Product list:
A: Barnett Archery 22" HYPERFLITE Arrows, 5pk Hunting Arrows for Barnett HyperGhost Crossbow, Black
B: Killer Instinct Lethal 405 FPS Crossbow, Essentials Bundle (3 Items)
C: 40.313" Barnett Crossbow String for Ghost 360
D: Barnett Crossbows Tactical TS370 and TS390 Crank Cocking Device, Black


assistant
Answer: C,B,A,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: caskets for humans cheap
Product list:
A: NQBY 16x25mm/30X40mm Titanium Steel Cremation Urns Casket for Ashes Urn Carved Locket Ash Keepsake Human Pets Memorials-Feather_-Urn-_Blue_30X40mm
B: Overnight Caskets - Knight Silver W White Interior - 18 Gauge Metal Casket/Coffin
C: Casket Depot Scattering Tube Mini 5.5" (Ocean Sunset)
D: CHIEMOT Set of 2 Eco Bamboo Scattering Cremation Small Urns for Human-Pet Ashes,  Mini Biodegradable Funeral Urn Tube for Adult Male Women Dog Cat Baby Ashes(Small 9" x2)


assistant
Answer: B,A,D,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: I got a used holster. Its in good shape, but the flap feels a little lose, that's because it'd used. 1911 fits great

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: stems for artificial flowers
Product: Hawesome 12PCS Artificial Silk Flowers Realistic Roses Bouquet Long Stem for Home Wedding Decoration Party (Red)

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: 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: unity candle holder
Product: Darice Clear Glass Taper Candle Holders: 2.25 inches Tall, 2 Pack Votive, 0


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: I would choose a reasonably-priced (under $50) short trenchcoat as a replacement.
Product list:
A: The Official BS Button
B: Columbia Women's Switchback III Jacket, Salmon, Large


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: 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: brown lidded qtip jar
Product list:
A: Ikea Seagrass Box with lid, Set of 3, sea Grass
B: 2 Pack of 15 Oz. Qtip Dispenser Apothecary Jars Bathroom with Labels - Qtip Holder Storage Canister Clear Plastic Acrylic Jar for Cotton Ball,Cotton Swab,Q-tips,Cotton Rounds (2 Pack of 15 Oz.,Small )
C: iDesign York Bathroom Vanity Glass Apothecary Jar for Cotton Balls, Swabs, Cosmetic Pads - Short, Clear/Bronze


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: 1 3/4 mens leather belt strap without buckle
Product list:
A: Bullhide Belts Max Thickness Work or Gun Belt - Thick, Rigid CCW Belts for Men - Gun Belts for Concealed Carry Duty Leather  1.50 Wide - Made in USA, Black - 34"
B: Belt for buckle Western full grain Leather Engraved Tooled Strap w/Snaps for Interchangeable Buckles, USA,2022-06, size 46
C: 1 3/4" Snap on Classic Vintage Cowhide Thick Leather Casual Jean Belt, Dark Brown | 38"


assistant
Answer: B,C,A
Task: Query_Product_Rank

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


user 
Instruction: 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: magnetic eyelashes without eyeliner
Product list:
A: Updated 3D 6D Magnetic Eyelashes and Eyeliner Set- 2 Tubes of Magnetic Eyeliner & 10 Pairs Magnetic Eyelashes Kit-With Natural Look & Reusable False lashes -No Glue Need
B: VASSOUL Dual Magnetic Eyelashes, 0.2mm Ultra Thin Magnet, Light weight & Easy to Wear, Best 3D Reusable Eyelashes with Applicator (8 PC with Tweezers)
C: Magnetic Eyelashes, Magnetic lashes, Magnetic Eyelash kit, Magnetic Eyeliner with Magnetic False Lashes Natural Look-No Glue Needed (5-Pairs)


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: 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: not my first rodeo shirt women
Product list:
A: Panoware Women's Funny Graphic Tank Top | This Ain't
B: Womens This Ain't My First Rodeo Distressed Look V-Neck T-Shirt
C: This Ain't My First Rodeo - Bronc Horse Riding Cowboy T-Shirt


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

Input:
Query: pottawatomie county oklahoma history
Product: A Short History of Nearly Everything

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 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: cable crossover machine
Product list:
A: Spear Resistance Band Handles for Straps Workout - 2 Pcs Grip Attachment Parts Ankle with Stainless Steel D-Ring Cable Machine Carabiners 1 Pc Bag Set Fitness Heavy Duty Equipment, Black
B: FITGIRL - The Best Ankle Strap for Cable Machines and Resistance Bands, Work Out Cuff Attachment for Home & Gym, Booty Workouts - Kickbacks, Leg Extensions, Hip Abductors, for Women Only (Black)
C: Fitness Reality 810XLT Super Max Power Cage | Optional Lat Pull-down Attachment and Adjustable Leg Hold-down | Lat Pull-down Attachment Only


assistant
Answer: B,C,A