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 determine the relevance between the query and product, and select the appropriate option from the provided options.

Input:
Query: sunflower rings
Product: RYANDYPE 2-5PCS Stainless Steel Dangle Belly Button Rings for Women Curved Navel Barbell Screw Body Jewelry Piercing (2PCS(Sunflower+Pineapple))

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: 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: year without santa clause
Product list:
A: Funko Vynl: The Year Without A Santa Claus - Heat Miser & Snow Miser Collectible Vinyl Figure
B: Electric Climbing Ladder Santa Claus, African Santa Climbing Ladder with Music Funny Singing Climbing Santa LED Novelty Black Santa Claus Decoration for Christmas Tree Hanging Ornament Xmas Gift


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

Input:
User Review: all my life i have loved audio. my dream was to buy a large scale system that sounded good. With a tight budget of only 5,000 dollars (US), i began to construct this thing. Epos LS12's
were my mains, and five granite audio monoblock amps. then it came to surrounds. these klh's came free. don't even hook these up kids. overall they must have a frequency responce of 900-901Hz. what i mean is, they have no bass, bairly midrange, no highs.

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


assistant
Answer: E: very negative
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: Amazon Kindle Fire HD 8.9, HDX 8.9 (2014) Rotating Cases | Neon Pink Universal Tablet Cover 10.1 Built-in Stand
Product 2: Fintie Folio Case for Kindle Fire HD 8.9&quot; - Slim Fit Leather Case with Auto Sleep/Wake for Amazon Kindle Fire HD 8.9 (Will not fit HDX Models) - 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: 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: hp laptop red
Product list:
A: 2019 Newest HP 14" Touch-Screen Laptop Intel Core i3 4GB RAM 128GB SSD Windows 10- Ash Silver Keyboard Frame
B: 2018 Newest Premium High Performance HP Laptop PC 15.6" HD BrightView WLED-Backlit Display Intel Pentium N3540 Quad-Core Processor 4GB RAM 500GB Hard Drive HDMI DVD-RW WiFi Windows 10-Red


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: tshirt mercedes benz for men
Product list:
A: It's a Mercedes Thing You Wouldn't Understand Tshirt | Gift
B: Mercedes-AMG Petronas Mercedes Benz AMG Petronas F1 Men's 2021 Team Button Down Shirt (M),White
C: Mercedes-AMG Petronas F1 Women's Large Logo T-Shirt Black/White (L, White)
D: Protect My Sweet Ride T-Shirt (Large) Black


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: 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: breast ultrasound registry review elderman
Product list:
A: The Ultimate Guide to the ARDMS SPI Exam
B: Breast Sonography Review: A Question & Answer for the ARDMS Specialty Exam
C: Ultrasound Review OBS & GYN


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

Input:
User Review: Product I received has this hood on the end.  This was not on the pictured item.  What is it and is it on backwards??

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: tacoma bed tie down
Product list:
A: Truckzen 6Pcs Tie Down Anchors Retractable Truck Bed Side Wall Hook D-Rings Compatible for Chevrolet Colorado 15-20, GMC Canyon 15-20, Chevrolet Silverado 07-20, GMC Sierra 07-20
B: Heavy Duty Truck Bed Tie Down Anchors Rings Trailers Hook Cargo Bolt on V Ring Pickups Rail Accessories (4 Pack)
C: Sporthfish 4 Pcs Tie Down Hooks Compatible for 2000-2017 Ford Tie Down Anchors F150 Styleside 2004-2017 Explorer Sport Trac 2001-2010 Bed Inner Hook Kits
D: LE KAPMOZ T Slot Nuts for Toyota Tacoma Bed Rails Cleats Bed Rack Rail Accessories for Tunda Pickup Truck Deck Bike Mount W/Stainless Button Socket Cap Screw (4 Packs)


assistant
Answer: B,A,D,C
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: tote bags with cover for men for cars
Product: Buffway Car Key case,Genuine Leather Car Smart Key Chain Keychain Holder Metal Hook and Keyring Zipper Bag for Remote Key Fob - Black


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: Determine the sentiment expressed by the user in her review from the provided choices, and respond by selecting one of the available options.

Input:
User Review: Quality built.  Should easily last the season and hopefully a few more.

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


assistant
Answer: B: positive
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: bluetooth ipod classic adapter
Product: Lasuney Bluetooth 5.0 Transmitter Receiver, Apt-X HD Low Latency Wireless Audio Adapter for TV and Home Stereo, Pairs 2 Headphones, Long Range, Voice Guide, Touch Screen, Splitter for Wire & Wireless

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: 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: alesis pro x hi-hat
Product list:
A: Alesis V49 - 49 Key USB MIDI Keyboard Controller with 8 Backlit Pads, 4 Assignable Knobs and Buttons, Plus a Professional Software Suite Included
B: Alesis Strike Multipad | 9-Trigger Percussion Pad with RGB Backlighting, Sampler, Looper, On-Board 2-In/2-Out Soundcard, Sample loading via USB Thumb Drives and Radiant 4.3-Inch Display
C: Alesis Drums Strike Kit - Professional Electric Drum Set with USB MIDI Connectivity, Adjustable Mesh Heads, 110 Kits & 1600+ Multi-Sampled Instruments
D: Alesis Drums KP1  Chain Drive Kick Drum Pedal for Virtually any Alesis Electric Drum Set or Acoustic Drum Kit


assistant
Answer: A,C,D,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: I have gone through a dozen probes. This company has a high temperature probe and great little meter that handles up to 900 degrees

[...]

The website is hard to navigate but the product is fantastic. My instant read doubles as a fever thermometer

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


assistant
Answer: E: very negative
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: nordictrack elliptical machine
Product list:
A: Sunny Health & Fitness Electric Eliptical Trainer Elliptical Machine w/Devicec Holder, Programmable Monitor and Heart Rate Monitoring, 300 LB Max Weight and 20"" Stride - SF-E3875, Black
B: Icon Health & Fitness, Inc. Incline Lift Elevation Motor 233577 Works with Epic HealthRider NordicTrack Elliptical
C: Sunny Health & Fitness SF-E905 Elliptical Machine Cross Trainer with 8 Level Resistance and Digital Monitor , Gray, White, 28 L x 17 W x 57 H


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: mini vending machine for room
Product list:
A: comfee 3.3 Cubic Feet Solo Series Retro Refrigerator Sleek Appearance HIPS Interior, Energy Saving, Adjustable Legs, Temperature Thermostat Dial, Removable Shelf, Perfect for Home/Dorm/Garage [Red]
B: Gumball Machine - 15 Inch Candy Dispenser with Stand for 0.62 Inch Bubble Gum Ball - Heavy Duty Red Metal with Large Glass Ball- Easy Twist-Off Refill - Free or Coin Operated - by The Candery
C: Bundaloo Unicorn Claw Machine Arcade Game and Candy Dispenser for Small Prizes Toys and Treats, Plays Original Arcade Music Sounds, Cool Mini Vending Machine
D: Kismile 4.5 Cu.ft Beverage Refrigerator and Cooler - 145 Can Mini Fridge with Glass Door & Digital Temperature & Removable Shelves - Small Drinks Cooler for Home or Bar (Stainless steel)


assistant
Answer: C,B,A,D
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: It's does what a coffee brewer is supposed to do.  I find it's awkward  to pour the water into. And I do not like the lid on the carafe. It snaps on and off, and be hard to put back on.

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


assistant
Answer: C: neutral
Task: Query_Product_Rank

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


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

Input:
Query: throw pillows without covers
Product list:
A: Yusoki Teal Faux Fur Throw Pillow Covers-18" x 18",Set of 2-Aqua Soft Fleece Cushion Cases Turquoise Fuzzy Fluffy Cozy Pillow Shams for Sofa Bed Decor Couch Bedroom Without Insert
B: JOJUSIS Plush Short Wool Velvet Decorative Throw Pillow Covers Luxury Style Cushion Case Faux Fur Fluffy Pillowcases for Sofa Bedroom Pack of 2 18 x 18 Inch Beige
C: Football Theme Pillowcase Square Throw Pillow Covers Soft Sofa Cushion Cover Decorative Pillow Cases Without Insert 18x18 in(style-12)
D: Foamily Throw Pillows Insert Set of 4-18 x 18 Insert for Decorative Pillow Covers - Made in USA - Bed and Couch Pillows


assistant
Answer: A,D,B,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: girls promo shirts
Product list:
A: Amazon Essentials Girls' Uniform Interlock Polo, Raspberry/White, S (6-7)
B: U.S. Polo Assn. Girls' Toddler T Tank Shirt, Pack Hanger dip dye Multi, 2T
C: Amazon Essentials Girl's Short-Sleeve Uniform Pique Polo Dress, Scooter Red, L (10)


assistant
Answer: A,C,B