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: 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: red transformers toys for 3 year old boys
Product list:
A: VTech Switch & Go Dinos Blister The Velociraptor Dinosaur
B: Playskool Heroes Transformers Rescue Bots Heatwave the Fire-Bot Converting Toy Robot Action Figure, Toys for Kids Ages 3 and Up
C: JOYIN 10 in 1 Die-cast Fire Truck Engine Vehicle Mini Rescue Emergency Fire Truck Toy Set in Carrier Truck


assistant
Answer: B,C,A
Task: Product_Relation_Prediction

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


user 
Instruction: Predict whether two products are similar, whether two products are likely to be purchased or viewed together based on their titles. Choose your answer from the provided options.

Input:
Product 1: Coghlan's Pack Grill
Product 2: Stanley Camp 24oz. Cook Set

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: 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: chef knife with personalized box
Product list:
A: Chef Knife Bag Folding Knife Bag | 20+ Pockets for Knives & Kitchen Tools | Large Pocket for Tablet & Notebooks | 500D Fortified Nylon | Knife Backpack for Chefs & Culinary Students (Black)
B: WUSTHOF Classic 8 Inch Chefs Knife,Black,8-Inch
C: MOSFiATA 8" Super Sharp Professional Chef's Knife with Finger Guard and Knife Sharpener, German High Carbon Stainless Steel EN1.4116 with Micarta Handle and Gift Box
D: Sonder Los Angeles, Thick Sustainable Acacia Wood Cutting Board with Juice Groove, Sorting Compartment 16x12x1.5 in (Gift Box Included)


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: 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: worship without words
Product list:
A: Worship Without Limits: The Place of Supernatural Access to God's Presence and Power
B: Dear Lord and Father of Mankind


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: makeup bag small for purse
Product: Large Travel Makeup Bag with Small Cosmetic Pouch for Purse, Makeup Clutch and Toiletries Organizer for Women (Black and White Stripe)

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: 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: Answer yes if the product is a substitute for the query and no otherwise.

Input:
Query: pfister bathroom bathtub facet
Product: Pfister 8P8-WS2-JDSGS Jaida 1-Handle Tub & Shower Faucet with Adjustable Spray Width In Spot Defense Brushed Nickel


assistant
Answer: yes
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: satin lace tank tops for women
Product: SheIn Women's Summer V Neck Strappy Sleeveless Camisole Lace Crop Cami Tank Tops Small Back Lace White


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: baby magic shampoo and body wash
Product list:
A: Baby Magic Hair And Body Wash 16.5 Ounce Soft Powder Scent (488ml) (3 Pack)
B: Baby Magic Creamy Baby Oil | 9oz (Pack of 6) | Coconut Oil & Camelia Oil | Free of Parabens, Phthalates, Sulfates and Dyes
C: Baby Magic Calming Lotion 30oz Pack of Free of Parabens Phthalates Sulfates and Dyes, Lavender & Chamomile, 4 Count
D: Johnsons HTT Wash & Shampoo


assistant
Answer: A,D,C,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: neck harness leather
Product: XAegis Shoulder Holster General Vertical Gun Holster Adjustable for Most Kinds of Pistols

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: 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: remote starters for cars
Product: Start-X Plug N Play Remote Start Starter for Rav4 2013-2018 || Avalon 2013-2018 || Camry 2012-2017, Corolla 2014-2019 || Push to Start Vehicles Only || Lock 3X to Remote Start


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: 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: uti over the counter
Product list:
A: Balance Complex Vaginal Health Dietary Supplement, 60 Capsules
B: Horbaach Cranberry (30,000 mg) + Vitamin C 150 Capsules | Triple Strength Ultimate Potency | Non-GMO, Gluten Free Cranberry Pills Supplement from Concentrate Extract
C: Cystex Urinary Health Maintenance Cranberry Prebiotic for UTI Protection  7.6 oz Bottle  Defend Against UTI, Cranberry Supplement Helps Cleanse Urinary Tract with D-Mannose and Vitamin C


assistant
Answer: C,A,B
Task: Query_Product_Rank

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


user 
Instruction: 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: teapot with tray
Product list:
A: DOWAN Porcelain Teapot, 40 Ounces Tea Pot, Large Enough for 5 Cups, Rattan Design
B: Purzest Tea Cup Teapot Set with Tray, Emerald Ceramic Teapot Coffee Cups Set Christmas Gift for Drinking Tea Latte Water, Tea Pot 40 OZ, 4 Cups 10 OZ


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: 4ff to 3ff adapter
Product list:
A: SIM Card Adapter, Helect 5-in-1 Nano & Micro SIM Card Adapter Kit Converter with Polish Chip and Eject Needle - H1050
B: NGFF(M.2) Key B to USB 3.0 Adapter with SIM 6pin Slot for WWAN/LTE Module


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: 2x4 flat panel led light surface mount
Product list:
A: 2x4FT LED Flat Panel Light,4 Pack, Dimmable 0-10V, 75W 2x4 LED Drop Ceiling Light Fixture,7800LM Super Bright,5000K Daylight White Drop Ceiling Flat Panel Light,100-277V AC (4 Pack of 2x4FT)
B: 2FT2FT Surface Mount Kit, Aluminium Surface Mounting Bracket Kit, for 24 inch LED Flat Panel Light, 2 feet Drop Ceiling Light, 2 Edge-Lit Light Ceiling Frame Kit (2FTx2FT, 2 Pack)
C: 1x4 LED Flat Panel Light,40W 4000K 4800Lumens(Neutral White),2-Pack AllChinaFiber 12x48 Inch Commercial Drop Ceiling 0-10V Dimmable Ceiling Fixture,UL Listed


assistant
Answer: A,C,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: spyro switch
Product list:
A: PowerA Enhanced Wireless Controller for Nintendo Switch - Pokemon Battle
B: Donkey Kong Country: Tropical Freeze - Nintendo Switch


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: r2d2 sphero
Product list:
A: Hermitshell Hard EVA Travel Black Case Fits Sphero Star Wars R2-D2 / R2-Q5 App-Enabled Droid
B: Sphero Mini (Orange) App-Enabled Programmable Robot Ball - STEM Educational Toy for Kids Ages 8 & Up - Drive, Game & Code with Sphero Play & Edu App, 1.57"


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

Input:
Query: dynamic biotics probiotics stonehenge
Product: Klaire Labs Saccharomyces Boulardii - Probiotic Supplement to Help Support Healthy Yeast Balance, Immune & Digestive Health - Acid Resistant, Shelf-Stable, Hypoallergenic & Dairy-Free (60 Capsules)

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: eminem iphone 6 case
Product list:
A: ElizabethCLane Eminem Kamikaze Stylish Design,iPhone XR Case,Mobile Phone Case,6.1 Inches
B: Fan Design Phone Case for iPhone 5/5s/6/6s/6 Plus/6s Plus/7/8/7 Plus/8 Plus/X/XS/XR/XS Max
C: Topwrack Cases iPhone Shoe Case, Bred 1s Official 3D Print Textured Shock Absorbing Protective Sneaker Fashion Case (iPhone 6 / 6s)


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: 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 comfortable but they seem to be wearing thin at the toe and heals after 5 uses.

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


assistant
Answer: C: neutral
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: There are no reference to adjustments on this, it seems very cheap, didn't really notice a difference when using it.

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


assistant
Answer: E: very negative