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: 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: reel mower with grass catcher
Product: American Lawn Mower Company 1815-18 18-Inch 5-Blade Push Reel Lawn Mower, 18-Inch, 5-Blade, 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 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: 250 lb resistance bands for men
Product list:
A: Bodylastics Stackable (14 Pcs) MAX XT Resistance Bands Sets. This Leading Exercise Band System Includes 6 of Our Anti-Snap Exercise Tubes, Heavy Duty Components, and a Travel Bag
B: 180LBS Adjustable Pilates Toning Bar Kit with Resistance Bands, Anti-Break, Full Body Dynamic Workout, Home Portable Gym
C: Resistance Bands Set Workout Bands,8-in-1 Ab Wheel Roller Kit with Knee Pad,Push Up Bars,Hand Grip Strengthener,Jump Rope,Home Gym Workout Exercise Equipment for Men Women


assistant
Answer: C,B,A
Task: Multiclass_Product_Classification

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


user 
Instruction: Analyze the query and product title to assess the level of relevance between them, and then output the corresponding option that best describes this relevance.

Input:
Query: cropped turtleneck women
Product: Sleeveless Turtlenecks for Women Black Sim Fit Mock Neck Tank Top (M, 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: 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: color coded cleaning supplies combo
Product list:
A: 3pc Wiss Tin Aviation Snips Cutting Tools Set Color Coded Snippers M123R
B: Chefast Hydrometer and Glass Test Jar for Wine, Beer, Mead and Kombucha - Combo Set of Brewing Hydrometer, Alcohol Test Tube, Cleaning Brush, Cloth and Storage Bag - ABV, Brix and Gravity Tester Kit
C: Remco 62503 Lobby Dustpan with Broom, Polypropylene/Polyester/Aluminum, 7" X 14" Bin, 37" Handle, Blue


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: nfl military salute to service jerseys
Product list:
A: New Era Women 2018 Salute to Service Sideline Cuffed Knit Hat ? Olive (Green Bay Packers)
B: New Era 2018 Mens Salute to Service Knit Hat (Seattle Seahawks)


assistant
Answer: 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: Given the user's review, identify the user's sentiment from the listed options. Answer using one of the options.

Input:
User Review: Por muchos aos utilic una Nikormat SRL conformando mi equipo con 2 Zooms y 2 lentes convencionales y me encontraba en bsqueda de una alternativa practica que me introdujera a la fotografa digital con un equipo fcil de llevar, as que cuando descubr esta nueva cmara Olympus Camedia C-700 con su espectacular Zoom, corr a adquirirla. Considero que sus mejores caractersticas son: Capacidad para tomar fotografas en condiciones de poca luminosidad, capacidad "macro", posibilidad de enfocar manualmente, facilidad para "bajar" las fotos al computador va la conexin USB y por supuesto, las posibilidades que brinda el lente zoom. Adquir conjuntamente con la cmara un juego de cargador y pilar Ni-MH el cual resulta esencial y recomiendo adquirir un segundo juego de pilas para evitar sorpresas "in the field" y comet el error de comprar un Memory Cards de otra marca diferente a Olympus  por lo cual no puedo utilizar la opcin "Panormica" con dicha tarjeta por incompatibilidad con la Cmara, funcionando a la perfeccin en todas sus otras funciones. La Cmara ha resultado la favorita de mi esposa por las facilidades que van implcitas con la fotografa digital, tales como editar la composicin, ajustar el brillo e imprimir rpidamente despus de tomada la fotografa. Creo que la Cmara representa un buen compromiso entre Calidad de Fotografa, Versatilidad y Tamao.

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


assistant
Answer: B: positive
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: Old World Christmas Ornaments: Bee Skep Glass Blown Ornaments for Christmas Tree (12391)
Product 2: Old World Christmas Ornaments: Meadowlark Glass Blown Ornaments for Christmas Tree

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: 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: quality alloy buckle
Product: Mens Tactical Belt SANSTHS Heavy Duty Nylon Belt 1.5in Riggers Belt Military Webbing with Quick Release Metal Buckle (A-Black, Suit waist 32-36in)

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: 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: Tree-Free Greetings sg24218 CFL Christ for Life: John 11:25 Sip 'N Go Stainless Steel Lined Travel Tumbler, 16-Ounce
Product 2: Tree-Free Greetings sg24352 Twilight-The Light: John 8:12 Sip 'N Go Stainless Steel Lined Travel Tumbler, 16-Ounce

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: 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: chase the dream not the fame nike shirt
Product list:
A: I Don't Like Morning People Graphic Novelty Sarcastic Funny T Shirt XL Black
B: Growth Mindset Motivational Inspirational Fun T-Shirt


assistant
Answer: 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: Given the user's review, identify the user's sentiment from the listed options. Answer using one of the options.

Input:
User Review: There seems to be some conflicting information about using this headset with the iPhone among the existing reviews. For the record, the jack on this headset is not the right size for use with the iPhone 4.

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: twin bed frame
Product: Crown Mark Erin Upholstered Panel Bed in Black, Twin

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: 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: sex machine
Product list:
A: Dildo Suction Cup Sex Machine Gun Adapter Connector Adult Toys Silver Suitblewith Air Connection 1.8 * 3.5inch
B: AOBEN Massage Gun-Technology Upgrade Professional Percussion Massage Gun, Cordless Handheld Electric Massager to Relieve Deep Muscle Tissue Soreness Through Comfortable Percussion.


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: 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: tze 1 inch red
Product list:
A: Greateam Compatible Label Tape Replacement for Brother TZe 24mm P-Touch Tape TZe-251 TZe151 TZe451 TZe551 TZe651 TZe751 Laminated 1 inch Label Tape for Brother PT-D600 PT-P700 PT-P710BT PT-2730 , 6PK
B: 4-Pack Compatible Label Tape Replacement for Brother Tape 12mm 0.47 Laminated Clear Tze 131 132 133 135 Black/White/Blue/Red on Clear for Ptouch Label Maker PTD400AD PT-D400
C: NEOUZA White on Red Label Tape Compatible for Brother P-Touch TZ TZe 455 TZ-455 TZe-455 P-Touch 24mmx8m 1" x26.2'


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: apw7 power supply
Product list:
A: NEMA 6-15P to C13 Power Cord - 6ft, 250-220V Cable for Bitmain Antminer APW3++ APW7 Power Supply, Digital Ballast Cord, Industrial Use, U/L Certified and CSA Approved 14AWG 15A
B: APW7 Antminer Power Supply for S9 or L3+ or D3 w/ 10 Connectors
C: AntMiner S9 L3+ Power Supply (BTC1800W 1600W@220v 1200W@110v w/ 10 Connectors)
D: Tripp Lite P007-006 Heavy Duty Computer Power Cord, 15A, 14AWG (NEMA 5-15P to IEC-320-C13), 6-ft Black


assistant
Answer: B,C,A,D
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: jolee graduation stickers white
Product: Keep Calm and Nurse On 1" Planner Calendar Scrapbooking Crafting Stickers - Opaque


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: sram caliper mounting bolts
Product list:
A: SRAM Avid Post Bracket 20P SS Adapter for CPS & Standard Bicycle Bolts
B: SRAM Bracket Bolts Titainium T25 32mm (2 Pcs) Flat Mount Caliper Brake Hardwear, Multicoloured, One Size
C: Sram Bracket Mounting Bolts - Stainless T25 27mm (2 Pcs) - Flat Mount Caliper:


assistant
Answer: B,C,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: 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: Crestware 5-Quart Stainless Steel Mixing Bowl
Product 2: Crestware MB08 8-Quart Stainless Steel Mixing Bowl, 1, Silver

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