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: probio slim plus weight loss
Product list:
A: Prebiotics and Probiotics for Women and Men, Gut Health Probiotic and Prebiotic Blend, Kids Probiotic, 60 Day Supply of Probiotics for Digestive Health, Earths Pearl
B: Provitalize | 100% Natural & Unique Probiotic Menopause Supplement For Women By Better Body Co | Combat Weight Gain, Joint Pain, Hot Flashes, Mood Swings & Low Energy


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: 10 platform bed without headboard
Product list:
A: Idealhouse Full Metal Platform Bed Frame with Sturdy Steel Bed Slats,Mattress Foundation No Box Spring Needed Large Storage Space Easy to Assemble Non-Shaking and Non-Noise Black
B: ZINUS Bobbie 10 Inch Wood Platform Bed Frame / Mattress Foundation with Sturdy Wood Slat Support / Solid Acacia Wood / No Box Spring Needed / Tool Free Assembly, Queen


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: 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: disney baby story books
Product: Winnie the Pooh Pooh's Honey Trouble (Disney Winnie the Pooh)

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


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

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


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

Input:
Query: impact brush kit
Product: Holikme 30piece Drill Brush Attachments Set, Scrub Pads Sponge, Power Scrubber Brush with Rotate Extend Long Attachment All purpose Clean for Grout, Tiles, Sinks, Bathtub, Bathroom, Kitchen Automobile

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: Please respond with yes if the product is a suitable substitute for the query, and no if it is not.

Input:
Query: black and yellow queen bedding
Product: Chic Home QS1768-AN 3 Piece Woodside Abstract Large Scale Floral Printed with 2 Shams Quilt Set, Queen, Yellow


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: base border cleaner tool
Product list:
A: HEOATH Microfiber Feather Duster with Extendable Pole, 100 inches Extra Long Cobweb Duster for Cleaning, Bendable Head, Non-Scratch, Washable Duster for Ceiling, Fan, Furniture
B: (25 Pack) Extra Durable Eraser Sponge - Extra Thick, Long Lasting, Premium Melamine Sponges in Bulk - Multi-Purpose Power Scrubber - Bathroom, Kitchen, Floor, Bathtub, Toilet, Baseboard, Wall Cleaner
C: Window or Sliding Door Track Cleaning Brush, Tile Lines Brush,Window Blind Duster, 2-in-1 Windowsill Sweeper, Hand-held Groove Gap , 5 Pieces
D: OXO Good Grips Extendable Tub and Tile Scrubber


assistant
Answer: C,A,B,D
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: athletic socks low cut for women
Product: adidas Women's Athletic Cushioned Low Cut Socks with Arch Compression (6-Pair), White/Shock Pink Glow Orange Shock Purple Bright C, Medium

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


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

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


user 
Instruction: 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: bottle cutter
Product list:
A: Creative Plastic Bottle Cutter Tool ver.5, Made of Metal, Rope Making Tool, Heat Shrink Tape Extractor - get Free Rope from Wasted PET Bottles, Reuse and Upcyle Plastic Waste (Tool with 1 blade)
B: Diamond Drill Bit Set, DRILLPRO 10 PCS Glass Hole Saw for Tiles Glass Ceramic Marble Bottles DIY,6mm - 30mm
C: ZUOS Bottle Cutter & Glass Cutter Bundle - DIY Machine for Cutting Wine, Beer, Liquor, Whiskey, Alcohol, Champagne, Water or Soda Round Bottles & Mason Jars


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: 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: ring for phone case purple
Product list:
A: lenoup Glitter Bling Bling Phone Ring Holder,Sparkle Phone Ring Artificial Diamond Stand,Rhinestone Cell Phone Finger Ring for Phones,Pad(Silver)
B: GVIEWIN for iPhone 11 Case, Clear Flower Design Soft & Flexible TPU Thin Shockproof Transparent Bumper Protective Floral Cover Case for iPhone 11 6.1 inch 2019 (Peony/Purple)
C: LeYi Compatible for iPhone 8 Case, iPhone 7 Case, iPhone 6s/ 6 Case with Tempered Glass Screen Protector [2 Pack], Military-Grade Protective Phone Case with Kickstand Ring for iPhone 6/6s/7/8, Purple


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: 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: I use the router with a Comcast internet connection--I replaced an older version of the same item, but when I installed it, I kept losing connection after an hour or two.

Called Linksys, got excellent support. Downloaded and installed new firmware. All is well.

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: samsung the frame tv 49 inch
Product list:
A: Samsung QN65LS03AAFXZA 65 Inch The Frame QLED 4K Smart TV 2021 Bundle with Premium 1 Year Extended Protection Plan
B: SAMSUNG 32-inch Class FRAME QLED LS03 Series - FHD Dual LED Quantum HDR Smart TV with Alexa Built-in (QN32LS03TBFXZA, 2020 Model) (Renewed)
C: Samsung 49" Frame TV Customizable Bezel Brown VG-SCFM49DP/ZA (2019)


assistant
Answer: C,A,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: This was a used model that I purchased. Mostly a good lens, great photos have come from this... But I feel like it may be somewhat sticky in there. I find unintentionally blurry photos sometimes, and so I'm thinking about getting it looked at.

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: gabriel sherman
Product list:
A: New York Magazine Name Label Darkened Out THE UNIMPEACHABLE TRUMP Avenging An NYPD Tragedy PORNHUB THE STREAMING SEX EMPIRE TURNS 10 THIS YEAR, EXPANDING THE SEXUAL DREAMSCAPE
B: Roger Ailes: Off Camera


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: toddler car seat
Product list:
A: Safety 1st Grow and Go All-in-One Car Seat, Harvest Moon
B: Disney Baby Apt 50 Convertible Car Seat, Mouseketeer Minnie


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: Given the title of two products, predict if the two products are similar, if the two products will be purchased or viewed together. Answer only from the options.

Input:
Product 1: Steel Spur Kit with Cast Aluminum Pads
Product 2: YXGOOD Treestand Harness, Tree Working Safety Belt, Climbing Harness for Garden Art Clip, Tree Clip, Firefighting On Tree

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: 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: Glorich AC-L200 replacement AC Power Adapter / Charger to replace AC-L200 AC-L200C L200D AC-L25 AC-L25A AC-L25B AC-L25C for Sony Handycam DCR-DVD7 DVD105 DVD108 DVD203 DVD205 DVD305 DVD308 DVD610 DCR-HC20 HC21 HC26 HC28 HC30 HC32 HC36 HC38 HC40 DCR-PC109 DCR-SR42 SR45 SR47 SR68 SR80 SR82 SR100 SX44 SX45 SX63 SX65 SX85 DSC-HX100V FDR-AX100 HDR-CX150 CX160 CX190 CX200 CX210 CX260V CX580V CX760V CX900 HDR-HC3 HC5 HC7 HDR-PJ200 PJ260V PJ710V PJ760V HDR-SR10 SR11 SR12 XR100 XR150 XR260V DEV-3 DEV-5
Product 2: HQRP AC Adapter for Sony AC-L15A L15B CCD-TRV318 CCD-TRV328 Camcorder Power Supply Cord + Euro Plug 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: 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 to assess their similarity and whether they are likely to be purchased or viewed together. Then, select the appropriate option.

Input:
Product 1: BambooWorx Sushi Making Kit &ndash; Includes 2 Sushi Rolling Mats, Rice Paddle, Rice Spreader |100% Bamboo Sushi Mats and Utensils.
Product 2: Sushi Making Kit - 17 Piece Beginner Set - 10 Shape Molds, Knife, Spatula, Fork, Chopsticks, Sauce Dishes &amp; Sushi Maker Guide Book - Black - by KitchenBoosterz

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 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: horno industrial
Product list:
A: KITMA 66L Countertop Convection Oven - Commercial Toaster Oven with Steam Injection, 4 Racks, 2100W-2800W Efficient Heating, Stainless Steel, Silver
B: Chefman Air Fryer Toaster Oven, 6 Slice, 26 QT Convection AirFryer w/ Auto Shut-Off, 60 Min Timer; Roast, Bake, Fry Oil-Free, Nonstick Interior, Accessories & Cookbook Included, Stainless Steel/Black
C: Nifty 3-Tier Oven Rack  Non-Stick, Dishwasher Safe, Chrome-Plated Steel Construction, Use for Cooking Casseroles, Compact Collapsible Kitchen Storage
D: Oster French Convection Countertop and Toaster Oven | Single Door Pull and Digital Controls | Stainless Steel, Extra Large


assistant
Answer: D,A,C,B