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 determine the relevance between the query and product, and select the appropriate option from the provided options.

Input:
Query: airforce 1 women shoes white
Product: 2 Pair -Women Sneaker Shoes Protector Against Shoe , for Running Casual Shoes, Toe Box Protector, Soft Material, Women's US Size 5-8.5

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: 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: What is the relevance between the query and the product title below? Answer from one of the options.

Input:
Query: wood caskets for humans
Product: Creative Hobbies Pack of 6 - Small Unfinished Wood Funeral Coffins, 6 Inch Coffin Box, Fillable for Halloween Parties, Goth, Decoration, Small Pet Burials

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: 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: elitefts wrist
Product list:
A: EliteFTS Pro Micro Resistance Bands - Orange
B: EliteFTS Pro Resistance Band (Mini - are red) - SOLD AS PAIR
C: Sling Shot Gangsta Wrist Wraps for Weight Lifting Men and Women for Wrist Support, Compression and Protection  (Black, 20 Inches)
D: WODFitters Stretch Resistance Pull Up Assist Band with eGuide, #1 Red- 10 to 35 Pounds (1/2 "4.5mm)


assistant
Answer: B,C,A,D
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: apple iphone headphones 7
Product list:
A: Pirate Tribal Skull Headphone Hard PC Protective iPhone 8 Plus Case Graphic Design Mobile Phone Shell 3D Print Case Cover 5.5 Inch
B: Fashion Earphones with Microphone, Super Bass Stereo in-Ear Earphone Sport Headset with Headphone for iPhone 7 (D)
C: Cell Phone Pouch, Small Crossbody Travel Purse Shoulder Bags with Headphone Jack Outdoor Sports Workout Traveling Running Hiking Gym Pack for iPhone Xs Max/X/6/7/8 Plus Galaxy S9 S10+
D: [Apple MFi Certified] Lightning to 3.5mm Headphone Jack Adapter, iPhone Headphone Adapter, Aux Jack Headphone Adapter Compatible for iPhone 11 XS XR X 7 7P 8 8P


assistant
Answer: B,A,D,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: wheels for 15 chevy cruz
Product list:
A: RTX, Steel Rim, New Aftermarket Wheel, 15X6.5, 5X105, 56.6, 39, black finish X45656
B: RTX, Steel Rim, New Aftermarket Wheel, 16X6.5, 5X114.3, 71.5, 40, black finish X99128N
C: RTX, Steel Rim, New Aftermarket Wheel, 15X6, 5X114.3, 67.1, 45, black finish X45567


assistant
Answer: B,A,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 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: 1 inch rear leveling kit
Product list:
A: MotoFab Lifts CH-3F-2R 3 in Front and 2 in Rear Leveling lift kit that is compatible with 2007-2018 Chevy Silverado Sierra GMC
B: MotoFab Lifts CH-3F-1R 3 in Front and 1 in Rear Leveling lift kit that is compatible with 2007-2019 Chevy Silverado Sierra GMC
C: MotoFab Lifts CH-2R 2 in Rear Leveling lift kit that is compatible with Chevy Silverado Sierra GMC 2007-2018


assistant
Answer: B,C,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: 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: mixer bottle 20 oz
Product list:
A: BlenderBottle Classic Shaker Bottle Perfect for Protein Shakes and Pre Workout, 20-Ounce, Teal
B: BlenderBottle Motivational Quote Classic V2 Shaker Bottle Perfect for Protein Shakes and Pre Workout, 28-Ounce, Fierce Fearless Feminine


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

Input:
User Review: These are very funny magnets but some of them are a bit past what I would want on my fridge available to the public. Haha if that makes me sound prude.. I'm not.. but some of them my roommate and I hide before any family comes over. They are hilarious though! I bought them with the bitch ones and they are fun to mix.

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


assistant
Answer: C: neutral
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: the muse by jessie burton
Product: The Glass Woman: A Novel

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: 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: 10 hour pads without wings
Product list:
A: U by Kotex Security Maxi Pads with Wings, Overnight, Unscented, 112 Count (4 Packs of 28)
B: Always Infinity FlexFoam Pads for Women, Size 5, Extra Heavy Overnight Absorbency, Unscented, 22 Count (Pack of 3, Total 66 Count)


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: This products is great! I wish I had started using this or a larger one when I began using Photoshop years ago. I have had my Graphire for about 6 mos. and I'm still trying to master it. Some things I just can't do with it and revert back to my mouse, usually because of hand cramps. But for things like tracing and sketching it is great. Also check Wacom's web site for Photoshop hints and tips, even if you don't own a tablet, their tutorials are pretty neat.

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


assistant
Answer: B: 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: Analyze the query and product title to determine the relevance between the query and product, and select the appropriate option from the provided options.

Input:
Query: red led strip
Product: Mefeir 36" Barber Pole Light,Hair Salon Barber Shop Porch Open LED Sign,Rotating Red White Blue LED Strips,IP44 Ratings Protection Save Energy

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: 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: blue leather 1inch 3 ring binder
Product list:
A: bloom daily planners 3-Ring Fashion Binder (10" x 11.5) - 1 Inch Ring - Watercolor Floral
B: Five Star Flex Hybrid NoteBinder, 1 Inch Binder with Tabs, Notebook and 3 Ring Binder All-in-One, Blue (72011), 11 1/2" x 10 1/2" x 1 1/4"


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

Input:
Query: beach umbrella for table
Product: AMMSUN 17" Beach Umbrella Table Tray with 4 Cup Holders, 4 Snack Compartments for Beach, Patio, Garden, Swimming Pool 17 Inch, White

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: C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
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: product as described and a good value.  Prefer a larger brim

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


assistant
Answer: C: neutral
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: What is the relevance between the query and the product title below? Answer from one of the options.

Input:
Query: 18 inch ring light without stand
Product: Ring Light, Ring Light with Stand, 18 Inch 3 Color Mode 3200k-6000k Color Temperature Dimmable 60W 400 LED Beads with Remote Controlled for Photography Phone Camera YouTube Vlog Makeup Studio Video

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: 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: steak cover
Product: Cuisinart CGPR-221 Cast Iron Grill Press (Wood Handle), Weighs 2.8-pounds

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: 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: ps4 back button
Product list:
A: NACON Controller Esports Revolution Unlimited Pro V3 PS4 Playstation 4 / PC - Wireless/Wired - Nacon-311608
B: eXtremeRate Multi-Colors Luminated D-pad Thumbstick L1 R1 R2 L2 Home Face Buttons DTFS (DTF 2.0) LED Kit for PS4 CUH-ZCT2 Controller with Classical Symbols Buttons - 10 Colors Modes 7 Areas DIY Option
C: Ambertown 1 Set Silicone Conductive Rubber Pads for Sony Playstation 4 PS4 Controller for Dualshock 4 Buttons Repair Replacement Part
D: Collective Minds Strike Pack F.P.S. Dominator Controller Adapter with MODS & Paddles for PS4


assistant
Answer: D,A,C,B