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

Input:
Query: baby proofing cabinet lock bows
Product: Child Safety Cabinet Locks - (10 Pack) Baby Proofing Latches to Drawer Door Fridge Oven Toilet Seat Kitchen Cupboard Appliance Trash Can with 3M Adhesive - Adjustable Strap No Drill No Tool

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: boys size 7 shoes big kids brown shoes
Product list:
A: OshKosh B'Gosh Boys Albie Boat Shoe, Light Brown, 7 Toddler
B: Feetmat Kids Sneakers Mesh Breathable Boys Tennis Shoes Lightweight Athletic Sports Running Shoes Black/White 1
C: Sperry Top-Sider Cruise Boat Shoe Big Kid 7 Chestnut Brown


assistant
Answer: C,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: bourbon cherries for old fashioned
Product: Peninsula Premium Cocktail Cherries | Award Winning | Deep Burgundy-Red | Silky Smooth, Rich Syrup | Luxe Fruit Forward, Sweet-Tart Flavor | American Grown & Made, 20 oz (2-Pack)


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

Input:
Query: the great alone
Product: The Pull of the Stars: A Novel

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: i'm not a player i'm a gamer shirt
Product list:
A: I Paused My Game to Be Here | Funny Video Gamer Gaming Player Humor Joke for Men Women T-Shirt-(Adult,2XL) Sport Grey
B: I'm Fine Graphic Novelty Sarcastic Funny T Shirt L Ash


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: 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: moderm chic key chain ring
Product list:
A: PPFISH Durable Brass Screw Lock Clip Key Chain Ring, Simple Style Car keychain for Men Women (2PCS)
B: 2PCS Leather-Keyrings-Tassel Wristlet Keychain-Round Key Chain Wrist Bracelet-Large Circle Keyring Bangle for Women Girls
C: Fawziya Dog Keychain With Tassle Rhinestone Keychains-Purple


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: 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: trending mens fashion
Product list:
A: Best Mens Sweatsuit Set, Fancy Clothes for Men, Mens Fashion Outfits, Best Clothing for Men, Turtleneck Outfit Men, Guys Summer Outfits, Jogger Outfits Mens, Disco Outfit Men, Classy Mens Outfits
B: Enrica Men's Casual Color Printed Jeans Skinny White Denim Pants (White&Air, 32)
C: Oakley Men's OO9417 Holbrook XL Square Sunglasses, Matte Black/Prizm Sapphire Polarized, 59 mm


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: wide mouth straw lid
Product: Simple Modern Summit Insulated Water Bottle with Straw Lid 1 Liter Reusable Wide Mouth Stainless Steel Flask Thermos, 32oz (945ml), Shimmer: Kunzite

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: 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: $50 skateboard without waxing music
Product list:
A: Dime Bag Hardware Triple Slick Skateboard Curb Wax, Blueberry (Pack of 4)
B: AODI Bluetooth Speaker Skateboard, 31'' Complete Skateboards Canadian Maple Cruiser with Colorful Flashing Wheels/MicroSD Card for Kids Boys Girls Youths Beginners Adults


assistant
Answer: B,A
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: Assess the user's sentiment in the provided review and select the appropriate sentiment option from the list as the answer.

Input:
User Review: Worked great for a few months. I used this on a smoker and liked the idea of having two probes, one for the meat and one to measure the actual temperature inside the smoker. I had a few things come out a little over done, so I put both probes in a glass of water. One of the probes measured 8 degrees more than the other. 8 degrees might not seem like much, but it is the difference between medium and leather.

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: 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: diabetes test without blood
Product list:
A: Zacurate Pro Series 500DL Fingertip Pulse Oximeter Blood Oxygen Saturation Monitor with Silicon Cover, Batteries and Lanyard (Royal Black)
B: AUVON DS-W Blood Sugar Kit (No Coding Required), High-Tech Diabetes Blood Glucose Meter with 50 Test Strips, 50 30G Lancets, Lancing Device


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: golf shirts for women tail
Product list:
A: Monterey Club Women's Pro Leopard Print Block 3/4 Sleeve Zip Top #2352 (Rose Quartz/White, Large)
B: Nike Dri Fit Shortsleeves Stripe Golf Polo 2018 Women Thunder Blue/Light Carbon/Flat Silver Large
C: Puma Golf 2019 Women's Slouchy Fleece, BRIGHT WHITE HEATHER-QUARRY, Large
D: Ekouaer Golf Skorts for Women Breathable Comfy Mini Anytime Tennis Skirt with Short S-XXL


assistant
Answer: B,A,D,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: ganesh bracelet
Product list:
A: RIOSO Feng Shui Good Luck Bracelets for Men Women Obsidian Bead Dragon Lucky Charm Bracelet Pixiu Pi Yao Attract Wealth Money Feng Shui Jewelry
B: Chakra Awareness Leather 3 Wrap and Crystal Bracelet for Women (Brown)


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

Input:
Query: s10 plus case carbon fiber
Product: Tasikar Galaxy S10 Case with Carbon Fiber Leather and Soft TPU Design Easy Grip Slim Case Compatible with Samsung Galaxy S10 (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: 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: fire stick without alexa
Product list:
A: Google Chromecast - Streaming Device with HDMI Cable - Stream Shows, Music, Photos, and Sports from Your Phone to Your TV
B: New CV98LM Replacement Remote Control Compatible with Amazon Fire TV Stick and Amazon Fire TV Box Without Voice Function
C: Roku Streaming Stick+ | HD/4K/HDR Streaming Device with Long-range Wireless and Roku Voice Remote with TV Controls
D: Certified Refurbished Fire TV Stick 4K with Alexa Voice Remote, streaming media player


assistant
Answer: C,D,B,A
Task: Product_Relation_Prediction

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


user 
Instruction: Evaluate the titles of Product 1 and Product 2 to assess their similarity and whether they are likely to be purchased or viewed together. Then, select the appropriate option.

Input:
Product 1: Angelitos de Mexico Candle for Baptism, Confirmation or Wedding - Cirio Para Bautizo, Confirmacion O Boda Handmade Gift Catholic
Product 2: Angelitos de Mexico Silver-tone Cross First Communion Candle Vela de Primera Comunion con Cruz Plateada

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: gothic bedroom decor
Product list:
A: 32inches Chanderlier Lights for Living Room Large Chandeliers Bedroom Flush Chandeliers Modern Crystal Fixtures for Living Room Foyer Dining Room Hallway Bedroom Interior Luxury Ligting
B: Touch Control Mini Table Lamp, 3 Way Dimmable Bedside Lamp, Decorative Nightstand Lamp for Bedroom, Living Room, Black Metal Shade Forest Lighting
C: Amazon Basics Lightweight Super Soft Easy Care Microfiber Bed Sheet Set with 14" Deep Pockets - Queen, Black
D: IRISIVITA Spooky Metal Sign, She Herself Is A Haunted House, Gothic Decor for Bedroom, Vintage Halloween Decorations Indoor, Witchy Room Decor, Goth Room Decor, Halloween Decor,11.75 X 7.8 Inches


assistant
Answer: D,C,B,A
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've never used a transcriber before this one. The recorder is simple to operate. The recording is clear and crisp. Transcribing is easy. Comes with headset and foot control, which I really like.  Works well for my purposes.

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: 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: cell phone white magnet
Product list:
A: CROSYMX iPhone XR Case, 3 in 1 Ultra Thin and Slim Hard Case Coated Non Slip Matte Surface with Electroplate Frame for Apple iPhone XR (6.1'')(2018) - Black
B: Ghostek Loop Phone Holder Strap Hand Grips for Women with Stand and Built-in Magnet for Car Mounts Perfect for Snapping Selfies Easily Removable Making It Wireless Charging Compatible - (Marble Pink)


assistant
Answer: B,A