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: 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: cough drops
Product: Halls Relief Max Strength Extra Strong Menthol Throat Drops, 12 Packs of 30 Drops


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: 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 ordered these measuring spoons because of their "#1 best seller" rating on Amazon.  Needless to say, I had high expectations for them.  When I opened the package, I was immediately disappointed.  They have an odd curve at the end of the spoon (not the spoon end, the handle end). You can kind of see what I am talking about from the third picture posted with these spoons, but not really.  It's a pretty drastic "L" shaped curve downward.  I'm not sure what the point of shaping them this way would be, but, I don't like it.  It feels odd in my hand and looks odd in my drawer.  I like to use them separately, so I take them off the ring, which makes me analyze their odd shape even more.
However, at the end of the day, they are JUST measuring spoons, and they work for the purpose I bought them, so I did not return them.  I like the oval shape, for getting into small jar openings, and they are a good, heavy weight.  But, If I had seen them in a store before buying them, I wouldn't have taken them home.

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: Department 56 Jack Daniels Village Lynchburg Hardware and General Store Lit Building
Product 2: Lemax 25417 O'Connors Billiards Porcelain Village Building

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: Pampered Chef Potato / Vegetable Peeler
Product 2: World Kitchen/Ekco 1045559 Peeler,Silver Steel

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: 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: Rapala Shad Rap 07 Fishing Lures
Product 2: Yo-Zuri 3DB Square Lip Shallow Floating Diver Lure

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: 1/4 retractable air hose reel without hose
Product list:
A: Amazon Basics Manual Hose Reel - Fits 3/8-Inch by 50-Feet Air Hoses (Not Included)
B: Giraffe Retractable Air Hose Reel Wall Mount with 3/8 in. x 25 FT Hybrid Hose, Pneumatic Heavy Duty Steel Reel Auto Rewind 300PSI
C: Giraffe Retractable Air Hose Reel Enclosed with 3/8 in. x 50 ft Hybrid Hose, Lightweight Compressor Hose Reel Wall Mounted with 180 Swivel Bracket, 300 PSI


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: 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: COPOZZ Swim Cap, Lightweight Comfortable Silicone Swimming Cap with Ear Protection, 3D Ergonomic Design Waterproof Swim Caps-Long Hair Compatible
Product 2: TYR La Vengadora Swim Cap

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_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: deathadder elite accesories
Product: Razer DeathAdder Elite Chroma Enabled RGB Ergonomic Gaming Mouse(Renewed)


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: Sorry Giants, I am a Redskins fan but, I purchased this as a gift for a co-worker. Trust me something I rarely do. The sign was nice I guess.

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


assistant
Answer: B: positive
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 bought this intending to drive it around the office and on the roof of our building, just for some fun when work slows down.  It does that just fine.  It's small, light, turns quickly, but it's not as fast as I initially assumed.  I upgraded the electronics to use a 7-cell pack, which unfortunately requires replacing the ESC, receiver and steering servo, as they're all combined into a horrendous plastic maelstrom.  The speed picked up noticeably.

It doesn't hold up so well at the track.  Without properly damped shocks ("friction damped" by default), the car bounces around all over the place and frequently loses control.  It has a high center of gravity compared to its big brother, so it flips over all the time, and even with the 7-cell pack, doesn't have the speed to clear any real jumps.  Also, the turnbuckles are small aluminum threaded rods, and bend very easily.  There are a few companies that offer replacement shocks and turnbuckles, but that's up to you to decide if it's worth it.

It's still a fun little car to play with.  With a few upgrades to the suspension and motor, it will hold up much better on a track.  It turns well and is very nimble.  It's so much fun to keep up with the other drivers because you can make much quicker turns in smaller spaces.  I'm going to leave mine how it is, as it's still plenty of fun with just a bit more speed.

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


assistant
Answer: A: very positive
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: carters boy overalls
Product list:
A: Simple Joys by Carter's Baby Boys' 3-Pack Snug Fit Footed Cotton Pajamas, Dogs/Space/Rhino, 18 Months
B: Carter's 2-Piece T-Shirt & Shortalls Overalls Set (3 Months)
C: Osh Kosh Baby Boys World's Best Overalls, Cedar, 18 Months


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

Input:
Query: leap frog magic adventures globes for kids interactive
Product: Qiaojoy Interactive Kids Map Bilingual United States Map for Kids Learning, Educational Talking USA Map Learning Toys with 2000 Geography Facts, Customizable Personalized Kids Gift for Ages 3-12 

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: 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: genuine leather phone case lg stylo 4
Product list:
A: Simicoo LG Stylo 5 Leather Wallet Zipper Purse Detachable Card Slots Holder Flip Case Magnetic Handle Wrist Strap Shockproof Cover Pocket Wallet Handbag for LG Stylo 5 (Black, LG Stylo 5)
B: kalibri Case Compatible with LG G6 - Case Real Leather Book Style Protective Cover with Card Slot - Brown
C: LG Stylo 4 Case, LG Stylo 4 Plus/LG Stylus 4/LG Q Stylus/Q Stylus+/Q Stylus  case,RUIHUI Leather Wallet Folding Flip Case Cover with Card Slots,Kickstand and Magnetic Closure (1-Brown)


assistant
Answer: C,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: christmas bodysuit for girls
Product list:
A: Simple Joys by Carter's Baby Girls' 2-Pack Cotton Footed Sleep and Play, Pink Floral/Ladybug, Newborn
B: Unisex Baby Girls Boys Christmas Bodysuit Infant Baby Merry Christmas Jumpsuit Plaid Onesies Pajamas (Red Plaid Kids, 4-5 Years)
C: Simple Joys by Carter's Boys' 5-Pack Long-Sleeve Bodysuit, solids, 0-3 Months


assistant
Answer: B,A,C
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: metal strips with holes
Product: Oatey 33923 28 Ga. Galvanized Hanger Strap, Bagged - 3/4-Inch x 10-Feet

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: I bought this to play my iPod in the car.  At first, it worked fine, but after three days, the sound would only come out of the left speaker.  After a week, it stopped working completely, and would only make clicking sounds when playing.  I thought this would be better than purchasing a much more expensive FM transmitter for the iPod, but after this, I see the money would have been worth it.

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


assistant
Answer: E: very negative
Task: Product_Relation_Prediction

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


user 
Instruction: 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: Disney/Pixar Good Dinosaur Trio 64&quot; x 86&quot; Reversible  Twin Reversible Comforter
Product 2: Dream Factory Dinosaur Blocks Ultra Soft Microfiber Boys Comforter Set, Blue, Twin

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: 0-cedar mop without bucket
Product list:
A: Spin Mop Bucket Floor Cleaning - Tsmine Mop and Bucket with Wringer Set Commercial Spinning Mopping Bucket Cleaning Supplies with 6 Replacement Refills,61" Extended Handle for Household Hardwood Floor
B: Tsmine Spin Mop Bucket System Stainless Steel Deluxe 360 Spinning Mop Bucket Floor Cleaning System with 6 Microfiber Replacement Head Refills,61"Extended Handle, 2x Wheel for Home Cleaning - MINT
C: O-Cedar Dual-Action Microfiber Flip Mop Refill


assistant
Answer: A,B,C