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: wok for gas stove
Product list:
A: Cooking Wok Pan, Hammered Wok and Stir Fry Pans with Wooden Handle, Frying Wok Carbon Steel Flat Bottom, Chinese Iron Pot for Cooking (12.5 Inch)
B: Wok Ring for Gas Stove,1 Pack Potholders for Kitchens 7.99 and 9.13 Inch Reversible Size Wok Stand Suitable for Most Woks
C: Chinese Wok Nonstick Die-casting Aluminum Dishwasher Safe Scratch Resistant PFOA Free Induction Woks And Stir Fry Pans with Glass Lid 12.6Inch, 5.9L


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: Assess the user's sentiment in the provided review and select the appropriate sentiment option from the list as the answer.

Input:
User Review: I had a great time using these, the only problem was the hard piece of plastic they have half way down the cord, it kept getting in the way. Other then that they are a great headset

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


assistant
Answer: C: neutral
Task: Product_Relation_Prediction

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


user 
Instruction: Predict whether two products are similar, whether two products are likely to be purchased or viewed together based on their titles. Choose your answer from the provided options.

Input:
Product 1: Lewmar 0052531 Dual Direction Solenoid Lt Wt
Product 2: Lewmar V700G Vertical Windlass with Rocker Switch and 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: 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: cell phone stand for note 9
Product: UGREEN Cell Phone Stand Holder for Desk Adjustable Compatible with iPhone 13 12 Pro Max 11 SE XS XR 8 Plus 6 7 Samsung Galaxy Note20 S20 S10 S9 S8 Android Smartphone Mobile Phone Dock Foldable, Black

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


assistant
Answer: B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
Task: 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: pressing mat for quilting
Product: Omnigrid Fold-Away Cutting & Pressing Station, 12" x 18", Black


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: 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: dark purple curtains for bedroom
Product list:
A: H.VERSAILTEX Blackout Room Darkening Curtains Window Panel Drapes - (Plum Purple Color) 2 Panels, 52 inch Wide by 84 inch Long Each Panel, 8 Grommets/Rings per Panel
B: HOMEIDEAS Blackout Curtains for Bedroom 52 X 63 Inch Length 2 Panels Set Purple Room Darkening Curtains/Drapes, Soundproof Thermal Grommet Window Curtains for Living Room


assistant
Answer: A,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: 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: camisole lingere for women
Product: Avidlove Sexy Pajama for Women Satin Cami and Shorts Lace Sleepwear Wine Red, XL


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: Assess the user's sentiment in the provided review and select the appropriate sentiment option from the list as the answer.

Input:
User Review: I've owned this model twice.  Makes excellent coffee, and consistently self destructs, like clockwork in 2.5 years.  It costs as much to fix it as it does to buy it new, so I feel like I've bought a disposable coffee  maker.  Too much money to spend on a disposable coffee maker.  It's the  electrical system that burns out.

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


assistant
Answer: D: negative
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: Please respond with yes if the product is a suitable substitute for the query, and no if it is not.

Input:
Query: tinted reading glasses women
Product: TIJN Vintage Square Progressive Multifocus Reading Glasses Anti Blue Light for Women Men Nerd Eyeglasses Readers


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: new blue rays
Product list:
A: The Emperor's New Groove / Kronk's New Groove (Three-Disc Special Edition) [Blu-ray / DVD]
B: New LG UBK90 UHD Streaming - 4K - 2D/3D - Region Free Blu Ray Disc DVD Player - PAL/NTSC - USB - 100-240V 50/60Hz for World-Wide Use & 6 Feet Multi System 4K HDMI Cable


assistant
Answer: A,B
Task: Sentiment_Analysis

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


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

Input:
User Review: I thought this was the machine I wanted, because it had a die-cast pan like the beloved Oster machine it was replacing. (Oster, unfortunately, has abandoned quality in the interest of cutting prices and satisfying the irrational consumer notion that a loaf of bread must be rectangular, not square.)
I was wrong. The heavy die-cast pan does make a better crust than conventional stamped pans, but this machine over-kneaded the dough (40 minutes altogether), resulting in a dense texture inside.
But the worst thing about this machine was the noise. The machine was driven by a toothed belt with matching slotted pulleys. Nothing wrong with that, except that Breadman engineers apparently thought this design eliminated the need for belt tension. The belt was loose, and it often slipped out of the notches during the kneading cycle. The result was a loud banging noise that resounded throughout the house. I could never use this machine on the delay setting, because the banging would wake me up during the night.
Customer Service just told me the noise was normal, wouldn't damage the machine, and I could try adding more water to the dough.
After trying 3 loaves of bread, I exchanged the machine for the Breadman TR2200C Ultimate, which is far superior and well worth the extra 30 bucks. I will miss the crisp crust of the die-cast pan, but otherwise the Ultimate is a better machine.

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


assistant
Answer: E: very negative
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: The gloves showed up quick, great service there!  I have only had them since about a week (Give or take) shipping time was great.  When I first go the gloves they seemed great, fit good ETC.  i have had them since approx 10/10 so just about two months and one of my gloves has split.  I have not used them ALOT and i have not abused them, i use them on my heavy bag  as I should.  I would have contacted the company to resolve this rather than write a negative review  but its been two months so I don't have the option to contact them.

If the gloves had not split this would be a 4-5 star review.

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: 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: christmas games for families
Product list:
A: Spontuneous - The Song Game - Sing It or Shout It - Talent NOT Required - Family Party Board Game...
B: Christmas Game Bouncy Ball Spoon Relay Race Toy for Adults Indoor Outdoor Decorations Xmas/Holiday/Winter Party Supplies Favors


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: 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: x light
Product list:
A: Upgraded Big Chip 395nm UV LED Black Light fixtures with Gooseneck and clamp for UV Gel Nail and Ultraviolet Curing, Portable Ultra Violet Blacklight 5V USB Input (Black 2W)
B: Laser F/X: The Light Show Handbook (Mark II)
C: AIJIA 2x2FT White LED Flat Panel Light,40W,Dimmable 0-10V,5000LM,5000K Daylight Drop Ceiling Light,Recessed Back-Lit LED Troffer Fixture,Dustproof Energy Efficient LED Ceiling Panel -ETL,DLC,UL(2Pack)


assistant
Answer: A,C,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: Cable Matters [UL Listed] 25-Pack Cat6 RJ45 Keystone Jack in White and Keystone Punch-Down Stand
Product 2: Vertical Cable Cat5e, 350 MHz, UTP, 24AWG, 8C Solid Bare Copper, 1000ft, Blue, Bulk Ethernet Cable - 054 series

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: 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: Have used Stir-Crazy poppers for years.  That said, this one was a slight disappointment.  The 'Stir' electric element does not sweep semetrically, thus scraping the bottom on one side of the pan.  This also results in kernels getting jammed under sweeper.  The motor then reverses until the next time it jams.  Bottom line...  I didn't return it, I live with it.

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 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: decorative vinyl window decal
Product list:
A: Rainbow Window Film Stained Glass Christmas Window Privacy Static Cling for Glass Windows Decorative Sun Blocking Window Covering Film Decals Non-Adhesive Removable Vinyl Film 17.5 x 78.7 Inches
B: Coavas Window Privacy Film Blinds Frosted Glass Film Sun UV Blocking Static Clings Non-Adhesive Heat Control Home Office Decorative Stickers Bathroom Door Covering(17.5 x 78.7 Inch, Pure)
C: VViViD Matte Blackout Privacy Opaque Window Vinyl Film Decorative Decal for Bathroom, Kitchen, Home, Office DIY Easy to Install Mess-Free Adhesive (60 Inch x 25ft)


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: 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: baby shower gifts for girls
Product list:
A: Baby Bandana Drool Bibs by Dodo Babies For Girls + 2 Pacifier Clips + Pacifier Case in a Gift Bag, Pack of 4 Premium Quality, Excellent Baby Shower / Registry Gift
B: Baby Gift Set  Keepsake Box in Pink with Baby Clothes, Teddy Bear and Gifts for a Baby Girl
C: Fisher-Price Infant-to-Toddler Rocker - Geo Diamonds


assistant
Answer: A,B,C