JackyChunKit/Qwen3_SFT_Post huggingface dataset:
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: These white caps with strap are hard to find but perfect for recreational swimming.  This is my third purchase.  I'll be back for more as they are worm out from use and enjoyment.

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


assistant
Answer: A: very 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: Celsius Two Steel Spikes ILP-1 Escape Life Preserver Easy-Grip Molded Handles
Product 2: Salamander Retriever Kayak Rescue Throw Rope Bag &amp; Tow Tether

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: 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: adrianna papell short dress long sleeve
Product list:
A: Adrianna Papell Women's Short Fully Beaded Sheath Dress with Long Sleeves, Navy/Black, 2
B: Adrianna Papell Women's Bead Blouson Dress, Gunmetal, 6


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

Input:
Query: cloche cake dome
Product: Dailyware Glass 6-in-1 Footed Multifunctional Cake Dome (1)


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: 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: water heater electric timer
Product list:
A: INTERMATIC Electronic Water Heater Timer, 30 Amps, 240VAC Voltage, Number of Channels: 1
B: Watts Premier Instant Hot Water Recirculating Pump System with Built-In Timer 6" X 6"
C: Gesail 1500W Electric Immersion Heater, UL-Listed Bucket Water Heater with 304 Stainless-Steel Guard, Submersible Bucket Heater with Thermostat and Auto Shutoff, Heats 5 Gallons Water in Minutes


assistant
Answer: A,B,C
Task: Query_Product_Rank

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


user 
Instruction: 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: 148 axle adaptor for trainers
Product list:
A: Yaheetech Magnetic Bike Trainer Stand Premium Steel Bike Bicycle Indoor Exercise Bike Stationary Workout Trainer Stand Fits for 26in-28in, 700C Wheels
B: Garmin TacX Axle Adapter Kit, Required to Couple The Rear Stay with The Thru Axle Mount on NEO and Flux Smart Trainers (S0040)


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

Input:
User Review: It is nice. I have used it for a couple months.

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


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

Input:
User Review: This is one of those little gadgets that you never knew you needed, and once you have one you can't give it up. I use this for making all sorts of things - Indian chutneys, chopped peanuts for Pad Thai, pulverizing dried mushrooms for pasta sauces, making a quick beurre manie for a pan sauce, a last minute cup of breadcrumbs to top a casserole. I could go on forever.

One star off since the motor isn't quite what I'd wish for it to be able to handle. In other words, some ingredients will slow this baby down to the point where you'll smell that smell. You know the one: electric motor about to burn out smell. So don't overload it and keep things moving about in the bowl and it'll be fine. I've had mine for a few years and it's still kicking. That said, I don't think that the retail of $60 is a fair price. Something closer to $35-ish is a little more accurate for a device like this, indispensable or not.

If you cook for a family of 4 or more, maybe you'll want to skip this. But for one or two it's the perfect size.

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: 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: Magnum 01MB432 Outdoor Cuisine Iii Knife with 4-3/4 In. Straight Edge Blade, Brown
Product 2: Spyderco Squarehead Small Folding Knife with 1.30&quot; Blade

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: one pound wrist weights for therapy
Product list:
A: Eif The Cuff Original Adjustable Ankle and Wrist Weight for Yoga, Dance, Running, Cardio, Aerobics, Toning, and Physical Therapy. 10 lb - Brown
B: TheraBand Ankle Weights, Comfort Fit Wrist & Ankle Cuff Weight Set, Adjustable Walking Weights for Cardio, Home Workout, Ankle Strengthening & Physical Therapy, Blue, 2.5 lb. Each, Set of 2, 5 Pounds


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: xbox one controller anime dkins
Product list:
A: Vivi Audio Thumb Stick Grips Cap Cover Joystick Thumbsticks Caps for PS4 Xbox ONE Xbox 360 PS3 PS2 Pink Cat Dog Paw
B: Skinit Decal Gaming Skin Compatible with Xbox One Elite Controller - Officially Licensed Funimation Ken Kaneki Split Design
C: Vanknight Original Xbox One Vinyl Decal Skin Stickers Cover for Console Kinect 2 Controllers Anime Funny Girls


assistant
Answer: B,C,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: 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 got this model because it won America's Test Kitchen aka Cook's Illustrated's product testing.  It has a big capacity, is easy to spin (by pressing down on the lever, and is sturdy due to the wide rubberized base and the slightly concave sides.  I find it rinses greens quite well and they are as dry as possible when they come out. I've used it for everything from romaine lettuce to kale to leeks (which really benefit from a good spin because they can have so much dirt lodged in them).

When cleaning, little bits of greens can get caught in the mesh.  A couple firm taps against the side of the sink usually take care of them.

I will say that I wish the brake worked better.  It seems I have to exert a lot of pressure to force the spinner to stop. But that's a very small detail as it slows it down enough to open it.

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


assistant
Answer: A: very 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: 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: I agree it's a waste to get sizes you don't need. Here's an idea to do a public exchange. I do not need the large and medium, and will be glad to give to anyone, just for the postage. I just need the small sizes.

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


assistant
Answer: B: 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: 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: playing in the dark toni morrison
Product list:
A: An Analysis of Toni Morrison's Playing in the Dark: Whiteness and the Literary Imagination (The Macat Library)
B: Post-Soul Satire: Black Identity after Civil Rights
C: Playing in the Dark: Whiteness and the Literary Imagination


assistant
Answer: C,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: 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: LIGHT STANDS PRO HEAVY DUTY 7'6&quot; SET OF TWO, WITH ALL METAL LOCKING COLLARS NOT PLASTIC by PBL
Product 2: ePhotoInc Portable 500 LED Light Panel Photo Video Studio Portrait Dimmer Lighting Panel VL500SD

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: pure encapsulations nutrient 950 without iron
Product list:
A: Pure Encapsulations O.N.E. Omega | Fish Oil Supplement for Heart Health, Joints, Skin, Eyes, and Cognition* | 60 Softgel Capsules
B: Pure Encapsulations Ashwagandha | Supplement for Thyroid Support, Joints, Adaptogens, Focus, and Memory* | 60 Capsules


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: This is the chain you need for your Triple Road Chain Ring setup.  I have Ultegra 105 a 3 x 10 on my road bike (2006 Felt F60, 8,000 miles)

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: mosaic 3 piece rocker set
Product list:
A: Keter Outdoor Patio Furniture and Hot Tub Side Table with 7.5 Gallon Beer and Wine Cooler, Brown
B: COSIEST 3 Piece Bistro Set Patio Rocking Chairs Outdoor Furniture w Warm Gray Cushions, Glass-Top Table for Garden, Pool, Backyard


assistant
Answer: B,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: 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 mean its tape. It works. Smooth print. P-touch quality. and real tape.

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


assistant
Answer: A: very positive