JackyChunKit/Qwen3_SFT_Post huggingface dataset:
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: gaming chair 300 lb weight capacity
Product list:
A: HEALGEN Gaming Chair with Footrest PC Computer Video Game Chair Racing Gamer Pu Leather Chair High Back Swivel Executive Ergonomic Office Chair with Headrest Lumbar Support (9076-Blue)
B: Homall Ergonomic High-Back Racing Chair | Leather Bucket Seat, Headrest, Footrest and Lumbar Support | Black & Blue


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: 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: 6 cameras all in one wired security systems
Product list:
A: Surveillance Camera System,SMONET POE Camera System,8Channel Home Security System(1TB Hard Drive),6pcs Full HD IP Cameras,24/7 Recording for NVR Kits,Outdoor &indoor Waterproof CCTV Camera,Remote View
B: XVIM 8CH 1080P Wired Security Camera System Outdoor with 1TB Hard Drive Pre-Install CCTV Recorder 8pcs HD 1920TVL Outdoor Home Surveillance Cameras Night Vision Easy Remote Access Motion Alert


assistant
Answer: A,B
Task: Product_Relation_Prediction

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


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

Input:
Product 1: Rockford Fosgate T1D410 Power 10&quot; T1 4-Ohm DVC Subwoofer
Product 2: Skar Audio LP-1000.1Dv2 2000-Watt Monoblock Class D MOSFET Amplifier with Remote Level Control

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: 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: blue and white kitchen mat
Product list:
A: ComfiLife Anti Fatigue Floor Mat  3/4 Inch Thick Perfect Kitchen Mat, Standing Desk Mat  Comfort at Home, Office, Garage  Durable  Stain Resistant  Non-Slip Bottom (20" x 32", Gray)
B: Silicone Carved Trivet Mats Set for Table Dishes and Pot Holders, Mug Coasters, Modern Kitchen Hot Pads for Pots & Pans (Round, Set of 3, Navy Blue)
C: CHARDIN Home Blue & White Bathroom Rug | Modern Farmhouse Bath mat | 20x32 inches Machine Washable Throw Rug Perfect for Kitchens, Hallway, entryway or Even as Doormat


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: greg olsen worlds without end framed
Product list:
A: Ice Hockey USA Flag Wall Art Print on Woodgrain Background - 8x10 Unframed Wall Art Print - Great Gift Decor for Hockey fans, relatives and friends
B: Hip-hop singer MF Doom canvas poster Metal Face Daniel Dumile wall paintings HD picture NTEUMM printing (16x16inch,No framed)
C: The Last Supper -Home Decor Wall Art Painting Print Framed Canvas for Living Room, Bedroom Decorative Artwork


assistant
Answer: C,A,B
Task: Multiclass_Product_Classification

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


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

Input:
Query: 10k yellow gold biblical circle pendant without chain
Product: VLINRAS Gemini Necklace for Women Zodiac Sign Necklace Gold Gemini Gift Horoscope Necklaces for Women Constellation Astrology Jewelry

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: 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: My "Stir-Crazy" is a good popper compared to others I've had.  It leaves no old maids and the corn is light and fluffy.  I use a very light popcorn oil to pop the corn and it gives the finished popcorn a butter taste.  I have just a teeny complaint - there are a few burned pieces of corn and a burned area on the heating portion of the popper.  I pull the plug out the second I hear the last corn pop, but I always have a mess to clean up in the end.  Will I damage the heating plate if I keep scrubbing it to get the burned area clean?  I use a very soft soaping brush and leave no scratches.  Thanks!

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: Evaluate the titles of Product 1 and Product 2, then choose the option that best describes the relation between the two products.

Input:
Product 1: Creative Converting School Colors Party Creations 36 Count 2-Ply Beverage Napkins, School Bus Yellow
Product 2: Creative Converting School Colors Party Creations 36 Count 2-Ply Beverage Napkins, White

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: Product_Relation_Prediction

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


user 
Instruction: Evaluate the titles of Product 1 and Product 2, then choose the option that best describes the relation between the two products.

Input:
Product 1: Everything Is Better in Nanny's Kitchen D&eacute;cor Grandma Gift Big Rectangle Bamboo Cutting Board Bamboo
Product 2: Mother's Day Gift for Nanny Too Cool to Be a Grandma Sunglasses Gift Coffee Mug Tea Cup White

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: 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: dutch oven cleaner
Product list:
A: BAR KEEPERS FRIEND Soft Cleanser Liquid (13 OZ) and Non Scratch Scouring Scrubber Kit | Multipurpose, Stainless Steel, Rust, Soft Cleaner with Heavy Duty Non Scratch DishCloth
B: Caron & Doucet - Ultimate Cast Iron Set: Seasoning Oil, Cleaning Soap & Restoring Scrub | 100% Plant-Based & Best for Cleaning Care, Washing, Restoring & Seasoning Cast Iron Skillets, Pans & Grills!
C: Le Creuset Enameled Cast Iron Signature Round Dutch Oven, 7.25 qt., Cerise


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: 1.0 reading glasses without ears
Product list:
A: Computer Reading Glasses 5 Pack Blue Light Blocking Glasses Anti Eyestrain Flexible Readers for Women Men (Multicolor, 2.75)
B: Silicone Eyeglasses Temple Tips Sleeve Anti-Slip Retainer for Sunglasses Reading Glasses,4 Pairs, 85mm, Black/White
C: 4 Pack Blue Light Blocking Reading Glasses Women Men Glare UV Filter Computer Readers 1.0 1.5 2.0 2.5 3.0 3.5 4.0 Black, 2.00 WEMOOTANTS


assistant
Answer: A,C,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: Just what I needed. Works well great way to extend the headphone cord while controlling the sound.

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: incense sticks
Product list:
A: Agarwood Incense Sticks, Incense Cones Backflow Waterfall, Natural & Organic Real Agarwood Incense Cones for a Backflow Incense Burner Holder, Meditation & Yoga Gift (A-10PCS)
B: Liobaba Mix 10 Indian Incense Sticks Aromatherapy Aroma Perfume Fragrance Fresh Air


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: 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: tcl tv
Product: Insignia NS-50DF711SE21 50-inch 4K UHD TV - Fire TV Edition


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: lunch container insulated kids
Product list:
A: Insulated Lunch Container DaCool Insulated Food Jar 16 oz Stainless Steel Vacuum Bento Hot Lunch Box for Kids with Spoon Leak Proof Hot Cold Food for School Office Picnic Travel Outdoors - Black
B: Simple Modern Provision Insulated Food Jar Thermos -Stainless Steel Leak Proof Storage Lunch Container for Hot Food 12oz with Handle Lid Ombre: Tropical Seas
C: Lunch Boxes Bag for Kids,VASCHY Reusable Lunch Box Containers for Boys and Girls with Detachable Shoulder Strap, Insulated Lunch Coolers for School Cute Dinosaur
D: Lille Home Premium Stainless Steel Food Containers/Bento Lunch Box With Anti-Slip Exterior, Set of 3, 470ML, 900ML,1.4L, Leakproof, BPA Free, Portion Control, Blue


assistant
Answer: A,D,C,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: white camo pants
Product: LROSEY Camo High Rise Cargo Jogger Pants for Women Casual Concert Dating Leisure


assistant
Answer: yes
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: ramps for lawn mowers
Product: RhinoGear 11909ABMI RhinoRamps Vehicle Ramp - Pair (12,000lb. GVW Capacity)

Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.


assistant
Answer: B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
Task: Multiclass_Product_Classification

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


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

Input:
Query: gray away medium brown
Product: Instantly Hair Shadow - SEVICH Hair Line Powder, Quick Cover Grey Hair Root Concealer with Puff Touch, 4g Medium Brown

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: wife devotional
Product list:
A: Wife After God: Drawing Closer to God & Your Husband
B: Bulletproof Marriage: A 90-Day Devotional (Imitation Leather)  A Devotional Book on Strengthening Marriages of Military Members and First Responders, Perfect Gift for Anniversaries, Newlyweds & More!


assistant
Answer: A,B