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: see through girdle
Product: BALEAF Women's Ankle Legging Athletic Yoga Hiking Workout Running Pants Inner Pocket Non See-Through Estate Blue Size L

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: 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: plastic weld
Product list:
A: 1PC=19.5 Inch 40PCS Plastic welding rods ABS/PP/PVC/PE welder rods for plastic welder gun/hot air gun (Each 10pcs rods)
B: 3M Scotch-Weld Plastic & Rubber Instant Adhesive PR100, 0.7 oz, Clear


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: 7th generation wipes
Product list:
A: GuguLove Travel Plastic Baby Storage Case Napkin Holder Tissue Box Wet Wipes Child Portable Paper- Empty Kids Office Mini Cute Holder Boxes Round Small Flat Kleenex Cube Wedding
B: Clearwipe Anti-Fog Microfiber Lens Cleaner Quick Drying Pre-Moistened Wipes - (20 Pre-Moistened Soft Wipes)


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: iwc watches for men
Product: Gucci Men's Swiss Quartz Stainless Steel and Nylon Dress Black Watch(Model: YA136210)


assistant
Answer: yes
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: Assess the relevance of a product to a given query by determining if it can function as a substitute, despite not fully meeting certain aspects of the query. Provide a binary output of yes or no based on this evaluation.

Input:
Query: rubber band storage case
Product: Snowkingdom Transparent Plastic Grid Box Storage Organizer for Display Collection with Adjustable Dividers - 36 Clear Grids - 10.8"x7.0"x1.8" - Free Letter Sticker


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

Input:
Product 1: 1 X Cavalier King Charles Spaniel Miniature Dog Ornament - Brown &amp; W
Product 2: Cavalier King Charles Spaniel Miniature Dog Figurine - Brown &amp; W

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


assistant
Answer: C
Task: Query_Product_Rank

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


user 
Instruction: 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: farm machinery teens
Product list:
A: Farm Equipment Sketch Book: Notebook for Drawing, Writing, Painting, Sketching or Doodling
B: AGRI MECH: June 2017 (Technological Improvement Book 27)
C: Tremendous Tractors (Amazing Machines)


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 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: robo interactive ir control robot
Product list:
A: Boley RC Dinosaur Robot - Infrared Remote Control Dinosaur T-Rex Toy Robot with Mist, Music, and Lights - Kids Robotic Dinosaurs Toys for Boys and Girls
B: Boxer Interactive A.I. Robot Toy (Black) with Personality and Emotions, for Ages 6 and Up


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: class rules posters for classrooms
Product list:
A: Welcome Poster and Class Rules Poster- Laminated, Size 14x19.5 in.- Back To School Classroom Decorations, Educational Posters, Teacher Supplies for Kindergarten, Elementary, and High School
B: Juvale Classroom Poster Set, Includes Welcome, Class Rules, Schedule, and Birthdays Chart (5 Pack)
C: Classroom Rules Poster (LAMINATED 18X24) Motivational Poster ideal for High School Classroom, Middle School Classroom or Elementary Classroom Decorations


assistant
Answer: C,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: SiriusXM NGHA1 Antenna Mount for Your Home
Product 2: SiriusXM- XEZ1V1 Onyx EZ Satellite Radio with Vehicle Kit- Black

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: Product_Substitute_Identification

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


user 
Instruction: Answer yes if the product is a substitute for the query and no otherwise.

Input:
Query: , fidget do not yell at that cost $1
Product: Travel Case Packed, EWA A106 Pro Portable Bluetooth Speaker with Custom Bass Radiator, Brief Design, IP67 Waterproof, Perfect Mini Speaker for Shower, Room, Bike, Car (Black)


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

Input:
Product 1: Gaiam Restore Back Stretch &amp; Relax
Product 2: SPRI Strands Stretch Strap

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: cuisinart coffee grinder parts
Product list:
A: Cuisinart DFP-14BCNY 14 Cup Food Processor, Silver
B: Cuisinart Grind Central Coffee Grinder
C: Cuisinart DGB-500GLID Grinder Assembly Lid, Clear


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: screen projector 75
Product list:
A: Outdoor TV Cover 70"-75" inch - Universal Weatherproof Protector for Flat Screen TVs - Fits Most TV Mounts and Stands - Black
B: A1Cover Outdoor 75"-78" TV Set Cover,Scratch Resistant Liner Protect LED Screen Best-Compatible with Standard Mounts and Stands (Black) ...
C: Outdoor TV Cover - 65" Model for 63" - 67" Flat Screens - Slim Fit - Weatherproof Weather Dust Resistant Television Protector - Tan


assistant
Answer: A,C,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: Enesco Jim Shore Hanging Ornament - Scarecrow
Product 2: Hallmark Keepsake Ornament - The Scarecrow From Wizard of Oz 2008 (QXI4304)

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: 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 use this surge protector on all my electronics that don't require a phone or cable connection. I have complete confidence in this product. Have had them for years!

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: 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: shredder without wastebasket
Product list:
A: Fellowes 3103201 Powershred W11C, 11-Sheet Cross-cut Paper and Credit Card Shredder with Safety Lock
B: Aurora AU800SD Professional Strip Cut Paper Shredder/CD/Credit Card Shredder Without Wastebasket, 8-Sheet Strip-Cut No Basket , Black
C: Aurora AU2260XA Heavy Duty Anti-Jam 22-Sheet Crosscut Shredder/60 Min Run Time/ 7-Gallon Pullout Basket and Casters


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 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: campbell hausfeld stick
Product list:
A: CAMPBELL HAUSFELD TL050101AV 3/8" Air Ratchet
B: Campbell Hausfeld General Purpose HVLP Gravity Feed Paint Spray Gun with 600mL Canister (DH580000AV)


assistant
Answer: A,B
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: Assess the relevance of a product to a given query by determining if it can function as a substitute, despite not fully meeting certain aspects of the query. Provide a binary output of yes or no based on this evaluation.

Input:
Query: fan without blades
Product: WINGBO 52 Modern Ceiling Fan with Lights and Remote, Brushed Nickel Ceiling Fan, 3 Curved Blades, Noiseless Reversible Motor, Indoor LED Ceiling Fan for Kitchen Bedroom Living Room, ETL Listed


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: 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: Tiffen filters have been around for years so must have stood market forces through time.
I always wanted one so bought this and fitted it to my son's 50mm lens.
Looks great and comes in na beautiful presentation case.

Stan Chun
Wellington
New Zealand

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


assistant
Answer: B: 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: Not confident about putting full weight on it in exercise routines, would buy a thicker-walled unit that doesn't fold into a box so neatly.

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


assistant
Answer: D: negative