JackyChunKit/Qwen3_SFT_Post huggingface dataset:
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: square white clock
Product list:
A: Patton Wall Decor 23 Inch Square Whitewash Wood and Galvanized Metal Cut Out Roman Numeral Wall Clock, Grey
B: 18" Rustic Greywash Square Wall Clock


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: 90cm softbox
Product list:
A: Taidda Speedlite Softbox Diffuser, Durable Universal 20x30cm Speedlite Softbox Diffuser for Digital Camera Flash Light Rate Lights for Any Equipment Bags
B: Photography Continuous Softbox Lighting Kit, Universal Rectangle Shape Speedlite Softbox Diffuser, Flash Light Softbox for Most Camera Flash Light Speed Lights


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: 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: mass gainer without creatine
Product list:
A: Endure 1000MG Hemp Extract Pain,Recovery and Weight Gainer and Appetite Booster Will Help Women and Men Gain Weight Fast. Liquid Weight Gain Supplement Works Faster Than Weight Gain Pills and Helps
B: GNC Pro Performance Weight Gainer - Vanilla Ice Cream, 6 Servings, High-Quality Protein to Increase Mass


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: 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: fire emblem three houses special edition
Product list:
A: Catherine: Full Body Hearts Desire Premium Edition - PlayStation 4
B: Fire Emblem: Three Houses Fodlan Collection - Switch (Japan Import)
C: NSW FIRE EMBLEM: THREE HOUSES [LIMITED EDITION] (EURO)


assistant
Answer: C,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: 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: 1 superhero cape for adult women without mask
Product list:
A: Wonder Woman Cuff and Tiara Adult Cosplay Costume Set Gold
B: Kids Superhero Capes Set Toys for Boys Girls Party Supplies Christmas Halloween Gifts
C: Superhero Capes for Kids: Superhero Dress Up Costume Double Satin Capes and Mask for 3 -10 Year Old Girls Boys Gifts (Boys capes-4Pcs)


assistant
Answer: A,C,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: 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: My wife is a Personal Trainer and uses the BOSU at the gym. She wanted one for us to use at home so we found this for $99. I purchased this product a month ago and we are very satisfied with it. It is a great addition to our workout. The delivery time was great and getting it put together was easy. It comes with an air pump, so just connect it and step on the pump until its inflated (we pumped it to 9" - 10"). I would recommend this product to anyone!

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: 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: Good solid whisk, exactly what I would expect from OXO.  Love their product line!

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 have a Linksys Wireless Network Access Point.  I rarely got the SMC to lock.  When it does lock, it does not stay in sync for more than 20 minutes before losing the connection.  It has a range of about 15 feet in the same room and about 10 if you go behind a wall.
My D-Link card worked flawlessly under the same conditions.  I would not recommend it and will likely return it.

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


assistant
Answer: D: 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: 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 the Rio 500 a few days ago after reading the comments on this forum.  I echo the statements about the documentation being woefully sparse, but since I already had RealJukebox installed I was able to use  that with ease.
With an existing stash of mp3 files and having  RealJukebox already installed I was ready to listen within about 20  minutes.
This is a great player if that's what you're after.  To the  reviewers that complain it's too expensive -- WAH!  Relatively new  electronics always are.  If you can't afford it either buy something more  low-end or wait awhile until the prices come down or the item just becomes  obsolete.
My 2 minor complaints are the requirement of Win98 -- no NT  option, and the foam covers on the headphone earbuds come off easily, but  buy it anyway!

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: 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: champion life womens original c shirt
Product list:
A: Champion Women's RW Crew, Venetian Purple-Y07967, Medium
B: Champion Women's The Original Tee-3 Color Script, Oxford Gray, X Small


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

Input:
Query: titanium earrings
Product: Besteel 5 Pairs 20G Stainless Steel Tragus Stud Earrings for Women Men Round Cubic Zirconia Flatback Screw Back Ear Piercing Set 5MM

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: computer bag 18 inch laptop
Product list:
A: 18.4 Inch Laptop Bag, Extra Large Briefcase for Men Women, Travel Business Laptop Shoulder Bags, Waterproof Expandable Computer Bags Carrying Case Fits 18.4 Inch Laptop, Notebook and Ultrabook
B: Amazon Basics 17.3 Inch Laptop and Tablet Case Shoulder Bag, Black


assistant
Answer: A,B
Task: Product_Relation_Prediction

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


user 
Instruction: Evaluate the titles of Product 1 and Product 2, then choose the option that best describes the relation between the two products.

Input:
Product 1: Manfrotto MB MBAG75PN Tripod Bag Padded 75cm (Black)
Product 2: Manfrotto XPRO Fluid Head with Fluidity Selector Plus Two Bonus Replacement Quick Release Plates for the RC2 Rapid Connect Adapter

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: 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: 97 explorer thermostat housing
Product list:
A: Gates 33078 OE Type Engine Coolant Thermostat
B: 902-204 85671 Well Auto Thermostat Housing W/thermostat 2 sensors and gasket 97-01 Explorer 4door 4.0L 6cyl 01 Ranger 4.0L 98-00 Mountaineer 4.0L
C: Thermostat Housing Sensor Water Outlet Replacement for 1997-2001 Ford Explorer 1998-2001 Mountaineer 4.0L V6
D: Stant-45356 Superstat Premium Thermostat, Stainless Steel


assistant
Answer: C,B,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: 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: love bug toy strawberry
Product list:
A: Costzon Kids Sofa, with 2 Cute Strawberry Pillows, Children Couch Armrest Chair Double Seats, Toddler Lounge Bed 2 in 1, Wooden Frame and Coral Fleece Surface for Bedroom, Living Room, Baby Room(Pink)
B: Slotic Baby Teething Toys, Dinosaur Teether Pain Relief Toy with Pacifier Clip Holder Set for Newborn Babies, Freezer Safe Neutral Shower Gift, Soft & Textured Stocking Stuffers for Boy and Girl


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: Given a query and a product, identify if the product is somewhat relevant to the query. It fails to fulfill some aspects of the query but the product can be used as a functional substitute. Only output yes or no.

Input:
Query: chom chom roller
Product: FOCUSPET Lint Roller for Pet Hair, Extra Large Hair Remover for Furniture, Clothes, Laundry Extra Sticky Supersize 6.3 inches Lint Removal Total 240 Sheets (1 Lint Roller + 3 Refills)


assistant
Answer: yes
Task: Query_Product_Rank

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


user 
Instruction: 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: tervis tumbler 24 oz without lid
Product list:
A: Insulated Tumblers 4-pack 16 oz Made in USA Great for Iced Coffee & Hot Drinks, Clear Double Wall Plastic Tumbler Cups, Microwave, Freezer & Top Rack Dishwasher Safe Reusable Cups by Homestead Choice
B: Tervis 1257888 Harry Potter - Glasses and Scar Insulated Tumbler with Wrap and Black Lid, 16 oz Mug - Tritan, Clear


assistant
Answer: A,B
Task: Multiclass_Product_Classification

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


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

Input:
Query: 10 k or 14k gold womens cross without chain
Product: 10K Gold 1.5MM, 2.5MM, 3MM, 3.5MM, 4MM, or 5MM Diamond Cut Rope Chain Necklace Unisex Sizes 7"-30" - Yellow, White, or Rose (Yellow, 1.5MM, 18)

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_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: iphone 8 case tellow
Product: Anuck Case for iPhone 8 Plus Case, for iPhone 7 Plus Case 5.5 inch, Crystal Clear 3 in 1 Heavy Duty Defender Shockproof Full-Body Protective Case Hard PC Shell & Soft TPU Bumper Cover - Clear


assistant
Answer: yes