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

Input:
Query: iphone 7 plus headphone
Product: 3.5mm Headphone Jack Adapter Charger for iPhone 8/8 Plus/ 7/7 Plus/X/10/XS/XS Max/XR Earphone Charging and Listening Music 3.5mm Aux Audio and Charging Adapter Adapter

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: 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: yellow tank top for women
Product: SheIn Women's Summer Basic Sexy Strappy Sleeveless Racerback Crop Top Yellow Medium

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: 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: lamborghini real car not toy
Product list:
A: BEZGAR Remote Control Car - 1:24 Scale McLaren Senna Electric Sport Racing Toy Car Model Vehicle , 2.4Ghz Licensed RC Car Series for Girls and Boys Age 8 9 10 11 12 Years Holiday Ideal Gift (Orange)
B: BDTCTK Sian FKP37 Car Model Toy 1:32 Child Sound and Light Pull Back Car Zinc Alloy Casting Toys for Kids Boy Girl Gift (Army Green)


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

Input:
User Review: The seller shipped promptly. I do not have a problem with the seller. Unfortunately Amazon had recommended this as an accessory for the camera I bought, but it was not the correct size and I am unable to use it. It would cost more to return it than it is worth.

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


assistant
Answer: E: very negative
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: Very cumbersome to use.  I did better with another product.

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


assistant
Answer: E: very negative
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: Due to my frequent migraines, I am checking everything I eat and I
was disappointed to realize that this has quite a few ingredients (containing free-glutamic acid (MSG)) that
are contributing to my migraine.  I have purchased and eaten quite a bit of Mountain Food products.  With my new diet of
avoiding foods with migraine triggers, I have gone from several migraines a week to nearly migraine free.

Link:
[...]

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: 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: guitar starter kit without guitar
Product list:
A: Ashthorpe 38-inch Beginner Acoustic Guitar Package (Red), Basic Starter Kit w/Gig Bag, Strings, Strap, Tuner, Pitch Pipe, Picks
B: SAYHA Electric Guitar, 39 Inch Solid Full-size Electric Guitar HSS Pickups Starter Kit Includes Amplifier, Bag, Digital Tuner, Strap, String, Cable, Picks (Black)
C: Fender Squier Dreadnought Acoustic Guitar - Sunburst Bundle with Fender Play Online Lessons, Gig Bag, Tuner, Strings, Strap, Picks, and Austin Bazaar Instructional DVD


assistant
Answer: C,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: cross tie tops for women
Product: VETIOR Women's Deep V Neck Short Sleeve Unique Cross Wrap Slim Fit Crop Tops (Large, 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: 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: Evaluate the relevance between the query and product title, and choose the most accurate option from the given options.

Input:
Query: mercedes w204 led parking lights
Product: Alla Lighting Newest 194 LED Bulbs Extremely Super Bright T10 168 W5W 2825 175 158 CANBUS Replacement 12V 1616 SMD Car License Plate Light Interior Map Dome Door Lights, 6000K Xenon 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: 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, then choose the option that best describes the relation between the two products.

Input:
Product 1: Religious Saint Francis Statue
Product 2: Saint Francis with Deer Catholic Patron Saint Religious Statue

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

Input:
Query: brother tn850 toner
Product: OfficeWorld TN850 Compatible Toner Cartridge Replacement for Brother TN850 TN 850 TN820 (Black, 2 Packs), Compatible with Brother HL-L6200DW HL-L6200DWT HL-L5200DW MFC-L5900DW MFC-L5700DW MFC-L5800DW

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: 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: embroidery machine 6 needle
Product list:
A: SINGER 00557 4-1/2-Inch ProSeries Detail Scissors with Nano Tip, Teal
B: 6 Inch Double-Curved Machine Embroidery Scissors from ThreadNanny


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: 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: xtreme shower gel
Product list:
A: ComfiLife Gel Enhanced Seat Cushion - Non-Slip Orthopedic Gel & Memory Foam Coccyx Cushion for Tailbone Pain - Office Chair Car Seat Cushion - Sciatica & Back Pain Relief
B: Right Guard Xtreme Cooling Hair and Body Wash, Cooling with Menthol, 16 fl oz (Pack of 2)
C: Right Guard Sport Antiperspirant Deodorant Gel, Fresh, 3 Ounce (Pack of 6)


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: 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: jabba the hutt black series
Product list:
A: Star Wars The Black Series Archive Yoda 6" Scale Figure
B: Star Wars, The Black Series, Princess Leia Organa (Boushh) #17 Action Figure, 3.75 Inches
C: Star Wars Gamorrean Guard Black Series 6 inch Action Figure
D: Star Wars: Episode VI The Black Series Imperial Royal Guard, 6-inch


assistant
Answer: C,A,B,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: 100% egyptian cotton sheets without sateen weave
Product list:
A: Dreamstead by Cuddledown 100% Cotton Bed Sheets Set | 300 Thread Count | Luxurious Sateen Weave | Pure Combed Cotton | Soft | Wrinkle Resistant | 4 Piece Set | Khaki | Queen | 60 x 80
B: 400 Thread Count 100% Egyptian Cotton Sheet Set - Full Size Sheets Set - 12 inch Deep Pocket of Fitted Sheet - 4 Piece Sheet Set (Silver Grey Stripe - Full 12 inch Deep Pocket Sheets)
C: 2 Piece Pillowcase Set 100% Egyptian Cotton 20 x 40 Inch Pillow Insert Covers 1000 Thread Count Pillow Cases Sateen Weave Cooling Soft Solid Luxury Hotel Bedding Collection (King Size, White)
D: Pure Egyptian Cotton Stone Grey Full Size Sheet Set (Full Size Bed Set, 800 Thread Count) Grey Sheets Full Size (4 Piece) Full Size Sheets Set- Sateen Weave Sheets- 18 Bed Sheets Cotton Full Size


assistant
Answer: B,A,C,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: case iphone xr
Product list:
A: Justcool Compatible with iPhone XR Case, Built-in Screen Protector Heavy Duty Full Body Shockproof Case (Black/Clear)
B: OTOFLY Compatible with iPhone XR Case 6.1 inch,[Silky and Soft Touch Series] Premium Soft Liquid Silicone Rubber Full-Body Protective Bumper Case for iPhone XR (Light Purple)


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: 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: 15x48 above ground pool with pump
Product list:
A: Aquarian Phoenix 15ft x 52in Above Ground Swimming Pool, Pump and Ladder Set with Sand Filter Pump, Pool Liner, Skimmer, Ladder and Net
B: Summer Waves P4A01648B 16ft x 48in Above Ground Frame Outdoor Swimming Pool Set w/Filter Pump, Pool Cover, Ladder, Ground Cloth, & Maintenance Kit


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: 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: i-blason apple watch 3 case 42mm
Product list:
A: SUPCASE Case Cover Back Skin Protector for Apple Watch Bracelet Unicorn Beetle PRO Series  Protective case with Arm Strap (2015 Version) (Blue, 38 mm)
B: i-Blason Band Compatible with Apple Watch 3 42 mm, [New Unity Series] Premium Hybrid Protective Bumper Band for Apple Watch 42 mm 2017 Release [Compatible with Apple Watch 42mm 2015 2016] (Black)
C: i-Blason Band Designed for Apple Watch 42 mm, [Cosmo] Stylish Sporty Protective Bumper Case with Adjustable Strap Bands for Apple Watch Series 3/2/1 (Marble)


assistant
Answer: C,A,B