JackyChunKit/Qwen3_SFT_Post huggingface dataset:
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: Pepsi Cola Big OK From USA Metal Sign
Product 2: Tinworld TIN Sign Pepsi Bounce Ounce Cola Decor Coke Pop Shop Kitchen Soda Bar B051#

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: 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: iphone 6s battery case blue
Product list:
A: Modernway Battery Case for iPhone 8 Plus/7 Plus/6 Plus/6s Plus, 5500mAh Portable Charger Case, Rechargeable Extended Battery Charging Case for iPhone 8 Plus/7 Plus/6 Plus/6s Plus(5.5 inch)-Blue
B: LCLEBM Battery Case for iPhone7/8/6s/6[Upgraded 6000mAh] Portable iPhone 8 Charger Case (4.7inch) Extended Protective Rechargeable Charging Case


assistant
Answer: B,A
Task: Query_Product_Rank

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


user 
Instruction: Analyze the query and each product title. Sort the products in descending order based on their relevance to the query. The most relevant product should be at the top of the list, and output the ranked list.

Input:
Query: diabetic candy
Product list:
A: HighKey Sugar Free Protein Cereal - 8oz Keto Snacks for Adults, Grain & Gluten Free Low Carb Breakfast Food, High Fiber Snack, Diabetic Food, Healthy Ketogenic Diet Foods & Low Calorie Crisps - Fruity
B: Tara's All Natural Handcrafted Gourmet Caramel: Small Batch, Kettle Cooked, Creamy & Individually Wrapped - Sugar Free, 11.5 Oz


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: 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: Its a great ball, the real deal, just don't put isopropyl alcohol on it, it f****s it up.

Don't ask me why i put alcohol on it

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


assistant
Answer: D: 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: 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: 116 pc stoneware dinnerware set without cups
Product list:
A: Corelle Service for 6, Chip Resistant, Winter Frost White Dinnerware Set, 18-Piece
B: Dinnerware Set Danmers 18-piece Opal Dishes Sets Service for 6 Plates Bowls 5.5" Break and Crack Resistant Dish Sets
C: M-MAX Dinnerware Set Durable Ceramic Dinner Plate Sets, Plates, Bowls, Mugs ,Blue Service For 1(YUN-Blue)


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: 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: Overall, this player gives an excellent picture with a reasonably easy to use remote.  Main reason purchased was to hopefully enjoy what Sound & Vision magazine touts as the first player to be able to view any DVD in a full screen mode.  Not so--any DVD in 2:35 format will not fill the screen when the "Fit" button is pushed on the remote.  Symbol indicates "DVD software will not allow."  I believe we are like many others who have resisted DVD's due to the widescreen only format on most DVD's.  My wife would rather view full screen VHS!  The M301 does represent excellent value, however.  I'm keeping it!

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


assistant
Answer: C: neutral
Task: Product_Relation_Prediction

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


user 
Instruction: Analyze the titles of Product 1 and Product 2 to determine if they are similar, if they will be purchased or viewed together, and choose the corresponding option.

Input:
Product 1: Vidpro PG-6 6000mAh Battery Hand Grip Monopod for Compact Digital Cameras, Camcorders, GoPro/Action, and Smartphones
Product 2: Waterproof Floating Hand Grip Compatible with GoPro Cameras Hero 5 Session Black Silver Hero 2 3 3+ 4. Handler &amp; Handle Mount Accessories Kit &amp; Water for Water Sport and Action Cameras (Orange)

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: 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: eat feel fresh
Product list:
A: Cook Once, Eat All Week: 26 Weeks of Gluten-Free, Affordable Meal Prep to Preserve Your Time & Sanity
B: Half Baked Harvest Super Simple: More Than 125 Recipes for Instant, Overnight, Meal-Prepped, and Easy Comfort Foods: A Cookbook
C: The Juicing Recipes Book: 150 Healthy Juicer Recipes to Unleash the Nutritional Power of Your Juicing Machine


assistant
Answer: C,B,A
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: Assess the relevance of a product to a given query by determining if it can function as a substitute, despite not fully meeting certain aspects of the query. Provide a binary output of yes or no based on this evaluation.

Input:
Query: fifth wheel to gooseneck adapter12
Product: AUTO Latch: Executive - Torsion-Flex, Fifth Wheel to Gooseneck Ball Coupler, 2 5/16" Ball, 2K - 4.5K Hitch Weight, 25K Towing


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: bachelorette vinyl stickers
Product list:
A: Bachelorette Party Favors - 20 Personalized Stickers, Last Fling Before the Ring - Hangover Kit Bags
B: 150 Pieces Feminist Stickers Women Empowerment Stickers Breast Cancer Awareness Stickers Feminism Stickers Waterproof Girls Graffiti Vinyl Stickers for Water Bottles, Phone, Computer, Luggage, Guitar
C: Wedding Party Mini Champagne Bottle Labels, Set of 10 Bridal Proposal Bride Ask Family Best Friend Will You Be My Bridesmaid, Maid Matron of Honor? Gift Bag Label, Mini Wine Bottle Blush Gold Sticker


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: 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: leather crafting celtic knots
Product list:
A: BeaverCraft BW18 pcs Basswood Carving Blocks Whittling Wood Carving Blocks Basswood for Carving Wood for Whittling Kit Wood Blocks for Carving Basswood for Wood Carving Set Wood Carving Wood (1 Basswood Blank)
B: BIGTEDDY - 20PCs Leather Different Shape Stamp Punch Set Saddle Making Tools for Leather Craft Working Moon Flower Butteryfly Shape
C: Tandy Leather 3D Round Celtic Stamp 8537-00
D: Aleks Melnyk #63 Metal Stencil, Vegvisir Viking Compass, Celtic Symbols, Runes, Runic Wayfinder, Magick Sigil for Protection Stencil 1 PCS, Template for Painting, Wood Burning, Pyrography, Engraving


assistant
Answer: C,D,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: Its a lightweight jacket that is water and wind resistant but has a fleece lining so it can be used in a wide variety of weather. 
Product: Mens Funny T Shirt I Did Not Mean to Offend You That was Just A Bonus - 3X-Large - Royal

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: 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: happy sailed women long sleeve ruffle layer
Product list:
A: Happy Sailed Women Summer Halter Neck Dress Floral Print Bohemian Beach Dresses Black Small
B: Happy Sailed Women Long Sleeve Ruffle Layer Backless Swing Mini Dresses Small Green
C: Happy Sailed Womens Dress Floral Printed V Neck Sleeveless Ruffle Layer Backless Swing Mini Short Dresses,Medium Green


assistant
Answer: B,A,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: 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: gentleman in moscow book
Product: Summary: A Gentleman in Moscow - Summarized for Busy People: A Novel: Based on the Book by Amor Towles

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: 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: mbrp 4 inch exhaust straight pipe
Product list:
A: MBRP T5052 Exhaust Tip (5" O.D. Angled Single Walled 4" Inlet 12" Length, T304)
B: MBRP M2220A 31" Aluminized Quiet Tone Muffler
C: MBRP GP125AL16 Universal Straight Exhaust Tube, 1.25 OD, 90" Length


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: 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: 'module' object is not callable
Product list:
A: The Original Toilet Night Light Gadget, Fun Bathroom Lighting Add on Toilet Bowl Seat, Motion Sensor Activated LED 9 Color Modes - Weird Novelty Funny Birthday Gag Gifts for Men, Dad, Kids & Toddlers
B: Office Decor for Women Desk- Rose Gold Decor Desk Plant For Bookshelf Decor, Boho Bedroom Decor For Women College Dorm for Girls - Artificial Plant Cactus Succulent - Kitchen Decorations & Accessories
C: Alaffia Everyday Shea Bubble Bath, Soothing Support for Deep Relaxation and Soft Moisturized Skin | Made with Fair Trade Shea Butter | Cruelty Free | No Parabens | Vegan, Lavender 32 Fl Oz


assistant
Answer: B,A,C
Task: Sentiment_Analysis

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


user 
Instruction: Analyze the user's review text and determine the overall sentiment expressed, then choose the corresponding sentiment option from the provided list (A: very positive, B: positive, C: neutral, D: negative, E: very negative) based on the identified sentiment.

Input:
User Review: This size is good for packaging family-size store purchases.  We have a family of four, so this size works for the larger pieces of meat or allows us to package the right amount for a complete meal.

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: 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: hard hats with logo
Product list:
A: ACERPAL Full Brim Hard Hat Osha Construction Work Approved Safety Helmet,Capitalism Forever,Constitutional And Patriotic Custom Design Hard Hats For Men And Woman,4 Point Adjustable Ratchet Suspension
B: Safety Hard Hat Customize Logo Protective Head Outdoor Work Hat (White (standard))


assistant
Answer: A,B