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 assess the level of relevance between them, and then output the corresponding option that best describes this relevance.

Input:
Query: panel mount terminal block
Product: DBParts 10 Sets 6-Pin (6 Pole) 5.08mm Pitch Straight Plug-in Screw Terminal Block Connector Panel PCB Mount DIY

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: A: The product is relevant to the query, and satisfies all the query specifications.
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: tagaderm waterproof patches
Product list:
A: 100pcs Waterproof Transparent Stretch Adhesive Bandage Waterproof Bandage Roll Transparent Film Dressing Second Skin Healing Protective Clear Adhesive Bandages Tattoo Supplies Products (2.8*3.1inch)
B: 3M Health Care 1626W Tegaderm Film Dressing, Frame Style, Rectangle, 4.75" Width, 4" Length, 4" x 4 3/4", Transparent (Pack of 50)


assistant
Answer: 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: SportDOG Brand Canvas Dummies - Hunting Dog Training Tool - Weighted Bumper Easy Throwing - Readily Holds Game Scent - Floats
Product 2: Tourbon Genuine Leather Hunting Duck Strap Game Carrier - Brown

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: 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: 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:  Rev-A-Shelf - 5349-1550DM-117 - Single 50 Qt. Pull-Out Brushed Aluminum and Silver Waste Container
Product 2: Rev-A-Shelf - 53WC-1535SCDM-117 - Single 35 Qt. Pull-Out Silver Waste Container with Soft-Close Slides

Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.


assistant
Answer: B
Task: Query_Product_Rank

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


user 
Instruction: Evaluate each product title in the given list, assess its relevance to the given query, and then arrange the products in descending order of relevance, with the most relevant product at the top of the ranked list.

Input:
Query: nintendo switch console
Product list:
A: Nintendo Switch Lite - Gray
B: Nintendo Switch 3 Items Bundle: Nintendo Switch 32GB Gaming Console with Gray Joy-Con, 64GB MicroSD Memory Card, and Mario Kart 8 Deluxe


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 bought this camera as a temporary until I could afford a more expensive camera to replace the one my dog broke.  Well the price was right and it looked like a nice camera.  I have heard of Vivitar before so I thought it would have half way decent quality but it doesn't.  No matter what mode is used inside the pictures either come out washed out or too dark.  The colors are always wrong or very poor.  Wether it is used indoors or outdoors the pictures usually come out blurry and they show no detail at all.  I bought a pencam also and didn't like it but I have to say that for outdoor use it at least takes a clear detailed picture.  This camera won't take a decent picture for anything.

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


assistant
Answer: D: 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: 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: Harman Kardon AVR 25II 5.1 Channel 600 Watt Receiver
Product 2: Sony 7.2 Channel Home Theater 4K AV Receiver (STRDH770)

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: 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: and often, the Stylus Epic is in your hands.  But more than its pocketability, what makes the Epic click (sorry, bad pun) is the lens.  It's one of the rarest in the current generation of P&S cameras because of its large aperture (2.8).  then there are the clever touches.  ability to detect fluorescent lighting, six flash modes including slow sync (an SLR feature), a spotmeter, weatherproofing.  If I have a complaint, it's that the camera resets to all auto when you switch it off.  But then, it is a point and shoot, isn't it?
It is not without a few caveats: hold it steady, TO AVOID BLURRY SHOTS, especially when shooting in the Night Scene mode, where the initial flash freezes the action, but then the camera leaves the shutter open for the ambient exposure, often too long, resulting in streaks and double images.  Not even its speed will compensate for sloppy handling.  Also, those suggestions about shooting in spot mode whenever possible are correct.  The camera is just much more accurate and faster focusing when concentrating only on the central sensor.
Outdoors, the camera performs better with forced (FILL) flash, as it prevents ugly shadows from forming under eyes and chin of subject.  In fact, I believe FILL flash mode should be the default mode for cameras of this type.

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


assistant
Answer: B: positive
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: puff jacket men cheap
Product: Reebok Men's Outerwear Jacket, Athletic Glacier Shield Navy, M


assistant
Answer: yes
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: cinch classic fit plaid
Product: Cinch Men's Classic Fit Long Sleeve Button One Open Pocket Plaid Shirt, Cesar Yellow, S


assistant
Answer: no
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: Needed this for my Mother.  She's making a project for my daughter, putting in all her 11 x 14 pictures and this album worked perfectly for that.  Had a very hard time finding a photo album that would fit the 11 x 14 pictures, so glad I finally found this one. The burgundy color is pretty even though she will have a new cover made for it "special project". It's exactly what we needed.

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


assistant
Answer: B: positive
Task: Product_Relation_Prediction

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


user 
Instruction: 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: GMYLE Soft Sleeve for MacBook Air/Pro/Retina 13 inch, 13-13.3 Inch Laptop - Dark Grey and Brown [Not fit for New MacBook Pro 2016-2017]
Product 2: Lacdo 13.3 Inch Laptop Sleeve for 13 Inch MacBook Air | MacBook Pro Retina 2012 - Early 2016 | 12.9 Inch iPad Pro | Surface Book | 360&deg; Protective HP Dell ASUS Chromebook Case, Water Repellent, 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: 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: Analyze the titles of Product 1 and Product 2 to determine if they are similar, if they will be purchased or viewed together, and choose the corresponding option.

Input:
Product 1: BiG DIGITAL 0.43x Wide-Angle w/ Macro Close Up Conversion Lens for Nikon 3000, D3100, D3200, D3300, D5000, D5100, D5200, D5300, D7000, D7100, DF, D3, D3S, D3X, D4, D40, D40x, D50, D60, D70, D70s, D80, D90, D100, D200, D300, D600, D610, D700, D750, D800, D800E, D810, Digital SLR Cameras with a 18-55mm, 55-200mm, 24mm f/2.8D, 28mm f/2.8D, 35mm f/1.8G, 35mm f/2.0D, 40mm f/2.8G, 50mm f/1.4D, 50mm f/1.8D &amp; 85mm f/3.5G Lens
Product 2: Vivitar 52MM 0.43x Wide Angle Lens Compatible with Nikon

Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.


assistant
Answer: B
Task: Query_Product_Rank

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


user 
Instruction: Evaluate 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: north face pink ribbon
Product list:
A: The North Face Women's Pink Ribbon Osito 2 Jacket TNF Black Outerwear XS
B: The North Face Osito 2 Jacket TNF Black (Prior Season) SM


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: She loves to swim and spent the summer in the pool.  This product held up under heavy use and stayed in place for the most part.  If you have a little diver you could have issues with it staying on, but normal play is fine.

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


assistant
Answer: A: very 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: Determine the relevance between the query and the product title provided, and select your response from one of the available options.

Input:
Query: canvas iphone xr case
Product: Compatible with iPhone XR Case Fabric,Art Cloth Texture Anti-Scratch Shock Absorption Silicone Soft Edge Protection Cover Case for iPhone XR Gray

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: 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: bluetooth headphones no buttons
Product: 60Hrs Wireless Headphones, Over Ear Headphones with Microphone, Wireless 5.0, HiFi Stereo Sound, Protein Earpads, Foldable Wired Wireless Headset for Kids, Adults, TV, Home Office


assistant
Answer: no
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: reading comprehension for high school students
Product list:
A: Daily Language Practice 9th Grade +: Use It! Don't Lose It!
B: Carson Dellosa The 100+ Series: Reading Comprehension Workbook?Grade 8 Language Arts Learning, Point of View, Main Idea, Literary Elements, Vocabulary, Poetry, Myths, Tales (128 pgs)
C: Vocabulary Virtuoso: PSAT-SAT Book 1 (Grades 8-12+)


assistant
Answer: B,A,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: Answer yes if the product is a substitute for the query and no otherwise.

Input:
Query: the origins of the modern world 3rd edition
Product: The Origins of the Modern World: A Global and Environmental Narrative from the Fifteenth to the Twenty-First Century (World Social Change)


assistant
Answer: no