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

Input:
Query: s9 tempered glass
Product: TOCOL Compatible with Samsung Galaxy S9 Plus, Not for Galaxy S9 - Screen Protector Tempered Glass 3D Curved Full Coverage Easy Installation Tray

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: A: The product is relevant to the query, and satisfies all the query specifications.
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: harness booster seat
Product: Graco TurboBooster Highback Booster Seat, Mosaic


assistant
Answer: yes
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: cat car charms for rear view mirror
Product: CROSS Silver Car Charm Ornmament with Dangles

Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.


assistant
Answer: B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
Task: Query_Product_Rank

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


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

Input:
Query: this is not your fight this is our fight shirt
Product list:
A: Let's Summon Ghost T-Shirt
B: Put My Meat In Your Mouth Funny Grilling BBQ Barbecue T-Shirt


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: 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 belt blanks 1 1/4 inch
Product list:
A: 1 1/4 Inch Leather Strip Russet 8-9 oz. (3.2-3.6 mm) - Latigo Leather Straps up to 96 Inch Long Made in USA by Pitka Leather (1.25" x 12")
B: 50 Sets Key Fob Hardware Key Fob Keychain Wristlet with Split Ring 1.25 Inch by HRLORKC
C: Jovitec Leather Craftool Strap Cutter, Strip and Strap Leather DIY Hand Cutting Tool Adjustable with Blades


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: 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: chain degreaser for bicycle
Product list:
A: Park Tool CG-2.4 Bicycle Chain and Drivetrain Cleaning Kit
B: Finish Line Gear Floss Microfiber Cleaning Rope (Pack of 20 microfiber ropes)
C: Muc Off Bio Drivetrain Cleaner, 750 Milliliters - Effective Biodegradable Bicycle Chain Cleaner and Degreaser Fluid - Suitable for All Types of Bike, Yellow
D: Oil Eater AOD1G35437 Original 1 Gallon Cleaner/Degreaser


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: 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: black and white paint splatter shirt
Product list:
A: Smile Fish Women Casual Oversized 80s Lips Print Off Shoulder T-Shirt (S, Black-Rose)
B: AG Adriano Goldschmied Men's Julian Raw Paint Crew, Black Splatter True White/Black, L
C: SYAIMN Unisex 3D Pattern Printed Short Sleeve T-Shirts Casual Graphics Tees L


assistant
Answer: B,C,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: 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: boys graphic tees
Product: Jumping Beans Little Boys' 4-12 The Flash Logo Tee 12 Red Heather


assistant
Answer: yes
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: Even when directions are followed rigorously, the probes on these guys are prone to melting down.  I've purchased one from all the major distributors, and they all work the same.  Taylor or somebody needs to sell a 10-pak of probes, instead of me buying a whole new unit every 4 months... They do work great though.  I use an older gas oven that has trouble maintaining proper cooking temperature.  The secondary dial that I've installed inside can read as much as 50 degrees different from the digital dial on the oven.  Because of this, I prefer to probe and track the cooking temp of the food instead so that I can provide a perfectly cooked product.  I also use this for making tea, as 212 is too hot for good tea, and 185 to 195 is a better temperature.
Still, the probe does melt down as other have said.  I typically get about 30 to 50 uses before I need to purchase another.  The problem occurs mostly when the oven temp exceeds 350, as I lose most probes when baking breads.  Still, I can't live without it, I just wish Taylor would start selling a package of probes for my dozen `timers' that I have sitting around the kitchen.  It would be 5 stars if the probes didn't die.

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


assistant
Answer: C: neutral
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: knot sealer for lace wigs
Product list:
A: Kiss All Mighty Bond Dual Tip Applicator & Remover Set
B: RemySoft blueMax Daily Refresher - Safe for Hair Extensions, Weaves and Wigs - Salon Formula Leave-in Conditioner - SCENTED
C: EBIN NEW YORK Tinted Lace Aerosol Spray Dark Brown 2.7 Oz/ 80 mL, Quick dry, Water Resistant, No Residue, Water Resistant, Even Spray, Matching Skin Tone, 9 Different Shades, Natural Look


assistant
Answer: A,B,C
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: disney character sticker roll
Product: Waterproof Vinyl Stickers Pack for Laptop Water Bottle Party Supplies(50Pcs Neon Style)


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

Input:
Query: k2 without d3
Product: Elite High Absorption Vitamin D3K2 - Vitamin D3 5000 IU + K2 MK7 180 mcg for Stronger Bones, Immune System, Healthy Heart - Vitamin D K Vegan with Calcium Citrate. 1-Cap-A-Day Formula. 3-Month Supply


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 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: mini fridge without freezer 1.7 cu ft
Product list:
A: BLACK+DECKER BCRK32V Compact Refrigerator Energy Star Single Door Mini Fridge with Freezer, 3.2 Cubic Ft., VCM
B: Midea 3.1 Cu. Ft. Compact Refrigerator, WHD-113FB1 - Black


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: usb 3.1 up to 300
Product list:
A: UGREEN USB 2.0 Printer Cable - A-Male to B-Male Cord USB A to B Cable High-Speed Scanner Cord Compatible with Hp, Canon, Brother, Samsung, Dell, Epson, Lexmark, Xerox, Piano, Dac, and More 5 FT
B: PNY 256GB PRO Elite USB 3.0 Flash Drive - 400MB/s
C: KESU External SSD 512GB, Portable Solid State Drive, USB 3.1 Gen 2,540M/s, External Storage Compatible for Mac, Latop, Desktop, Tablet, Android Phones
D: HP Flagship Pro Desktop 2018 Computer, Core I5 Up to 3.6GHz, 8GB, 512GB SSD, WiFi, DVD, DP, VGA, USB 3.0, Windows 10 Pro 64 Bit-Multi Language-English/Spanish/French(CI5) (Renewed)


assistant
Answer: C,B,A,D
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: Dandelion 5 PC Dining Table Set by Home Elegance in Rustic Brown
Product 2: Furniture of America Sahrifa Duotone Round Dining Table, Acacia and Black Finish

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

Input:
Query: hakka breast milk collector
Product: Silicone Breastfeeding Manual Breast Pump with Protective lid, Portable Milk Saver for Breast Feeding, 100% Food Grade Silicone Milk Collector Come with 1 Baby Toothbrush

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_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: No Room at the Inn Advent Calendar
Product 2: Whistle Stop Christmas Chocolate Advent Calendar Filled With 24 Milk Chocolates(2.65 oz)

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: blue toilet bowl cleaner
Product list:
A: Eco-Friendly Automatic Toilet Bowl Blue Bubble Scrubber Flusher Tablets, Bathroom Toilet Tank Long-Lasting Brusher, Keep Your lavatory Pure-6 Counts
B: Simple Life Clean Fresh GEL Toilet Cleaning Stamp Cleaner Dispenser with 32 Counts (Pack of 4)


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: 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: bunco party board game
Product: St. Patrick's Day Bunco Score Sheets: 100 Score Pads for Bunco Players, Score Keeper Tracker, Game Record Notebook, Gift Ideas for Bunco Party Night, Bunco Dice Game, Shamrock & Leprechaun

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: A: The product is relevant to the query, and satisfies all the query specifications.