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: 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: canity curtain
Product list:
A: NICETOWN Blackout Curtain Panels Window Draperies - (Grey Color) 70x84 inch, 2 Pieces, Insulating Room Darkening Blackout Drapes for Bedroom
B: Elegant Comfort Aurora Jacquard Look Curtain Panel Set with Attached Valance 54" X 84 inch (Set of 2), Taupe
C: Mecor Vanity Table Set ,Makeup Table with Oval Mirror & Stool, Bedroom Wood Dressing Table with 4 Drawers White
D: Frenchi Furniture Wood 3 Pc Vanity Set


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

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


user 
Instruction: Carefully assess the user's review for any strong expressions of sentiment, either positive or negative. Based on your analysis, select the most fitting sentiment option from the provided list as output.

Input:
User Review: Good sound and comfort etc.  However, the cables are pretty thin and flimsy, especially for a dj set.  They are advertised as having replaceable cables, which is a plus, good luck however finding a replacement!

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


assistant
Answer: D: 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: ice block maker
Product list:
A: True Cubes Clear Ice Cube Tray: 4-cube tray
B: Hawaiian Shaved Ice Blade and Mold Accessory Kit for S900A Shaved Ice Machine


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: Carefully assess the user's review for any strong expressions of sentiment, either positive or negative. Based on your analysis, select the most fitting sentiment option from the provided list as output.

Input:
User Review: I've had two pairs of vanquishers in the past.  The second pair finally gave in to scratches from years of abuse so I ordered another.  The nose piece was much more difficult to change out than the past pairs I've owned.  I thought I was going to break them.  But the deal breaker is how quickly this new pair fogs.  I've never had a problem before with foggy vanquishers.  Maybe it's a defect but it's really obnoxious to have to rinse them out quick on every single repeat.  And the rinsing is a vicious cycle.  Every time you have to wipe or rinse, as expected, the quicker they fog the next time.  After 2 months of this mess I'm looking for something else.  Too bad, they have the most comfortable fit ever.

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: 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: crosscut shredder without wastebasket
Product list:
A: Aurora AS420C Desktop-Style Cross-Cut Paper Shredder, 4-Sheet Crosscut Desktop
B: Amazon Basics 8-Sheet Capacity, Cross-Cut Paper and Credit Card Shredder, 4.1 Gallon
C: Amazon Basics 8-Sheet Strip-Cut Paper, CD, and Credit Card Shredder
D: Amazon Basics Paper Shredder Sharpening & Lubricant Sheets - Pack of 12


assistant
Answer: A,B,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: ring security system 10 piece kit
Product list:
A: Ring Alarm 8-piece kit (2nd Gen)  home security system with optional 24/7 professional monitoring  Works with Alexa
B: Ring Retrofit Alarm Kit - existing wired security system and Ring Alarm required, professional installation recommended


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: 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: The cover I received is only 10.25 inches. It will not even cover a normal paper plate.

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: 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: canity curtain
Product list:
A: Elegant Comfort Aurora Jacquard Look Curtain Panel Set with Attached Valance 54" X 84 inch (Set of 2), Taupe
B: Mecor Vanity Table Set ,Makeup Table with Oval Mirror & Stool, Bedroom Wood Dressing Table with 4 Drawers White
C: Frenchi Furniture Wood 3 Pc Vanity Set


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

Input:
User Review: This broke the second time we used it.  Very sad, we were using it to make sweet potato fries.

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


assistant
Answer: D: 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: I want a black leather jacket with gold zips and pocket buttons
Product list:
A: GANSSIA 1 Inch Black Resin Buttons 25mm Sewing Flatback Button for Garment DIY Craft Decoration Pack of 50PCS
B: 14 Piece Metal Blazer Button Set - for Blazer, Suits, Sport Coat, Uniform, Jacket (Gold)15mm 20mm
C: Women Jacket New Personality Tassel Rivets Faux Leather PU Short Biker Leather Jacket Black Streetwear Coat (2XL, Black and white)
D: Mousmile Toddler Baby Girls Shiny Rivet Leather Jacket Lapel Zipper Motorcycle Coat Metal Bomber Winter Warm Outwear (12-18 Months, Black)


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

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


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

Input:
Query: kitchenaid covers for stand mixer 5 quart
Product list:
A: Stand Mixer Covers with Pocket and Cute Print,Kitchenaid Mixer Cover Compatible with 6-8 Quart Kitchenaid and Hamilton Mixers,Pioneer Woman Kitchen Accessories,Small Appliance Dust Cover
B: Stand Mixer Cover with Pocket,Kitchenaid Mixer Covers with Cute print, Mixer Cover Compatible with 6-8 Quart Kitchenaid/Hamilton Stand Mixer/Tilt Head & Bowl Lift Models (Red)
C: 5QT Flex Edge Beater for KitchenAid Bowl-Lift Stand Mixer,5 Quart Flat Beater Paddle Replacement Asseccories Attachments with Flexible Silicone Edge Bowl Scraper
D: KitchenAid Stand Mixer Bowl, 5 quart, Glass with Measurement Markings


assistant
Answer: A,B,C,D
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: Black Arch Tuckable Loops for Hybrid IWB Holsters, Holsters (Formerly SHTF Gear) Lock Loops
Product 2: DIY Kydex Holster IWB Offset Over Hooks, 1.75&quot; Belts, Black, 2 Pack

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: 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: rand mcnally tnd 70 tablet
Product list:
A: Rand McNally Crescent Bean Bag Dash Dashboard Pad Mount for TND Tablet 70 GPS TNDT70 / Road Explorer 70 GPS - PN # 070609016283 (RMBB)
B: Rand Mcnally Tnd(Tm) Tablet 70 with 7 Display GPS and Dashcam Tnd(Tm) Tablet 70 with 7 Display GPS and Dashcam


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

Input:
Query: usb type c card reader
Product: USB C Hub HDMI Adapter for MacBook Pro 2019/2018/2017, MOKiN 5 in 1 Dongle USB-C to HDMI, Sd/TF Card Reader and 2 Ports USB 3.0 (Silver)

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: 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: For the price... i would look for better sound than this can produce.
Lots of echo and noise when someone speaks ..to connect and receive ph in car its a mess.
you actually have to have your system set on tape for it to work.. don't really wanna go thru all that headache when driving..if you can't hear and pull up the volume of your tape then there is so much echo that the other end will almost go crazy talking and figuring out your voice.
NO NO for me at least.

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

Input:
Query: ted bundy poster
Product: Inked and Screened "The Zodiac Killer Letter Reproduction - True White - 8.5" x 11" - Hand Made Art Screen Print (True White, 8.5" x 11")

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: 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: disney halloween music
Product list:
A: Boo! For You Halloween
B: Mickey's Monster Bash


assistant
Answer: B,A
Task: Product_Substitute_Identification

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


user 
Instruction: Check if a product can function as a substitute for a given query, even if it doesn't fully meet all requirements. Output yes if it can or no otherwise.

Input:
Query: cat 9 ethernet cable 100ft
Product: Cat 8 Ethernet Cable 100 Ft,High Speed Flat Internet Network LAN Cable,Faster Than Cat7/Cat6/Cat5 Network,Long Durable Patch Cord with Gold Plated RJ45 Connector for Xbox,PS4,Router, Modem-White


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: 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: andalou naturals face cream probiotic c renewal
Product list:
A: Andalou Naturals DIY Booster SPF 30 Facial Serum Unscented, 2 Ounce
B: Andalou Naturals Hyaluronic Dmae Lift and Firm Cream, 1.7 Ounce


assistant
Answer: A,B