JackyChunKit/Qwen3_SFT_Post huggingface dataset:
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: adidas soccer cleats black
Product: adidas Performance Men's MUNDIAL TEAM Athletic Shoe, black/white/red, 9.5 M US


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: havic magic eagle gaming mouse
Product list:
A: BENGOO Gaming Mouse Wired, USB Ergonomic Computer Mice with Chroma RGB Backlit, 6400 DPI Adjustable, 6 Programmable Buttons, Optical Laptop PC Gamer Gaming Mice with Weight Tuning
B: Redragon M612 Predator RGB Gaming Mouse, 8000 DPI Wired Optical Gamer Mouse with 11 Programmable Buttons & 5 Backlit Modes, Software Supports DIY Keybinds Rapid Fire Button


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: toy story barbie costume
Product list:
A: Disney Pixar Toy Story Epic Moves Bo Peep Action Doll
B: Barbie Disney Toy Story 2: Tour Guide Special Edition Doll (1999)


assistant
Answer: A,B
Task: Multiclass_Product_Classification

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


user 
Instruction: 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: tan and brown bathroom wall decor
Product: Abstract Canvas Wall Art Modern Abstract Painting Prints Blue Grey Canvas Picture Artwork Contemporary Wall Art Bedroom Living Room Bathroom Office Decoration Framed Ready to Hang 12" x 16" x 3 Pieces

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: 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: This is a well designed minimalist type case that I would love to use except that It doesn't quite fit my Nikon D80 with my favorite lens the 18-200 AF VR lens. It would work with any of the stock 18-55 or shorter lenses. The D40 works fine in this case too. It's well made, too bad it isn't a couple of inches longer!

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

Input:
Query: fleshlight
Product: Men's 10 Vibration Mode Automatic Heating Telescopic Super Soft Adour Toy, Real cat Strong Men's Best Gift 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: 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: ti-36x pro higher
Product: Proud Mary

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: 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: Archival 35mm Size Negative Pages Holds Six Strips of Six Frames, Pack of 25
Product 2: Ilford FP4 Plus Black and White Negative Film (35mm Roll Film, 100' Roll)

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: 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: 4 Pieces of Japanese 3.75&quot; Porcelain Sushi Wasabi Soy Sauce Dipping Dishes, Blue Moon Rabbit
Product 2: OliaDesign Leaf Plates (Set of 5), Multicolor

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: rahua shampoo and conditioner
Product list:
A: Rahua Hydration Detangler + UV Barrier, 6.5 Fl Oz, Moisturizing Formula Softens Hair, Smooths Frizz, Prevents Breakage and Damage, Creates Instantly Brushable Hair, Best for All Hair Types
B: Rahua Hydration Conditioner 9.3 Fl Oz, Replenish Dry, Thirsty Hair for Hydrated Strong, Healthy, Smooth Hair Infused with Natural Tropical Aromas of Passion Fruit and Mango, Best for All Hair Types Made with Organic Ingredients


assistant
Answer: A,B
Task: Query_Product_Rank

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


user 
Instruction: Evaluate 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: (hearing aid not amplifer)
Product list:
A: Hearing Aid, Enjoyee Hearing Aid for Seniors Rechargeable Hearing Amplifier with Noise Cancelling for Adults Hearing Loss Digital Ear Hearing Assist Devices with Volume Control
B: Hearing Aids For Seniors Hearing Amplifiers Rechargeable With Noise Cancelling, BTE Digital Hearing Assist For Adults With Volume Control,1 Pack


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: First I'd like to say that these were my second headphone purchase and I'm a bit disappointed(first was Numark HF125).  I've used the r-80 with a CD player, an ipod, and then hooked both up to an amplifier.  The difference in quality was noticeable with an amp or even a mixer, probably by 25%. What I've noticed was that the bass wasn't as clean or deep sounding as the cheaper Numark.  The Numark did not rattle or distort with the volume at 75% high whereas the Koss R-80 was just the opposite.  The vocals were decent though.  This is probably better for watching TV or movies.

The build feels a bit cheap, but it doesn't break.  Outside noise doesn't get fully blocked out but then again, its not an in-ear monitor.

What I loved about these headphones were its long telephone-like cord that  doesn't tangle.  It felt pretty comfy on my head, but i still did feel a bit of pressure after wearing it for more than an hour(I've got a large head), but not to the point where it hurts or annoys me too much.

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: 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: NHL Tampa Bay Lightning 21964011 Perfect Cut Color Decal, 4&quot; x 4&quot;, &quot;Navy Blue
Product 2: NHL Tampa Bay Lightning 21964011 Perfect Cut Color Decal, 4&quot; x 4&quot;, Black by WinCraft

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: 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: plastic jars and lids not glass
Product list:
A: Half Gallon Glass Jar with Airtight Leakproof Plastic Lid, Wide Mouth Easy to Clean, Dishwasher Safe, Food Safe - Kombucha Tea, Kefir, Canning, Sun Tea, Fermentation, Food Storage, 1790, 4 Jars
B: Half Gallon Glass Jar with Airtight Leakproof Plastic Lid, Wide Mouth Empty, Dishwasher Safe, Food Safe - Kombucha Tea, Kefir, Canning, Sun Tea, Fermentation, Food Storage, 1790, 2 Jars


assistant
Answer: A,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: 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: Bulova C4828 Cleaver Wall Clock, Copper Finish
Product 2: Infinity Instruments 10940-GREEN Retro Round Metal Wall Clock, 9-1/2&quot;, Green

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: 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: Powerextra 2 Pack Replacement Canon LP-E6, LP-E6N Battery for Canon C700, XC15, EOS 60D, 70D, 80D, 5D Mark II III and IV, 5DS, 5DS R, 6D, 7D Cameras BG-E14, BG-E13, BG-E11, BG-E9, BG-E7, BG-E6 Grips
Product 2: SmilePowo LED Display USB Dual Battery Charger for Canon LP-E6,LP-E6N,LC-E6,EOS 80D,6D, 7D, 70D, 60D, 5D Mark III, 5D Mark II,BG-E13, BG-E11,BG-E9,BG-E7,BG-E6,60DA DSLR Cameras ,Battery Grip

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: 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 bought this thing about a year ago and it worked pretty well. For a while. But after having to reboot the thing every few weeks I started to get a little tired of it.
Now, I am not trying to run a lot of machines through it - a Linux box on ethernet, a Sony Clie, Tivo, and an iMac over 802.11, plus Packet8 for my phone service over ethernet. No great strain on the processor.
So, why does the thing insist on locking up so much? To add to the problem, you can be going along just nicely on ethernet and suddenly the 802.11 dies.
Now, asside from the thing croaking and needing rebooting weekly, I get to do a complete factory reset once a month, wiping out all the stuff I have programmed into it (WEP keys, etc), because the thing will completely quit responding.
One would think that the problems are related to something overheating. But no, that is not it. That leaves the unit's firmware to be suspect. After reading about Netgear's sloppy code writing and their DoS attack against the University of Wisconsin time servers, I have to believe software is the issue. If they wrote code as bad as that which caused the UofWisc flood, I am sure awful code abounds in all their products.

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: iphone 8 plus large watermelon silicone
Product list:
A: BRGiftShop Funny Middle Finger Up Boy Bye Quote Rubber Phone Case Back Cover for iPhone 8 Plus / 7 Plus / 6 Plus
B: Cavka TPU Case Compatible with iPhone 13 Pro 12 Mini 5G 11 Xs Max X 8 Plus Xr 7 SE Slim fit Fruits Cute Adorable Girly Flexible Silicone Print Women Summer Design Fruits Cute Soft Clear Watermelon
C: Ultra Slim iPhone Case - Silicone Protective Cover - Compatible for iPhone 7 Plus - Cute Avocado Booty - Funny - Kawaii Phone Case - Dancing Avocado - White Flexible Soft TPU Cover Case


assistant
Answer: B,A,C