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: 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: iphone 5 wallet case for men
Product list:
A: Taporse for iPhone 13 Pro Wallet Case with Card Holder, Handmade Faux Leather Kickstand Card Slot Case, RFID Blocking Magnetic Shockproof Protective Slim Flip Cell Phone Case/Cover 2021 6.1 Brown
B: TUCCH iPhone SE (2016 Edition) Wallet Case, iPhone 5 5s Case, Premium PU Leather Card Slot Flip Stand Magnetic Folio Cover [TPU Shockproof Interior Case] Compatible with iPhone SE/5s/5, Dark Blue


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: womens columbia tamiami shirts long sleeve
Product list:
A: Columbia Women's Silver Ridge Lite Long Sleeve Shirt, White, Large
B: Columbia Women's Super Bahama Long Sleeve, Kettle Plaid, X-Large
C: Columbia Women's PFG Tidal Deflector Long Sleeve Shirt , Black Fade,Large


assistant
Answer: B,C,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: 're not deal for t-shirt
Product list:
A: YRYM HT Clear Vinyl Transfer Paper Tape Roll-12 x 50 FT w/Alignment Grid Application Tape for Silhouette Cameo, Cricut Adhesive Vinyl for Decals,Signs, Windows, Stickers
B: Disney Snow White I'm Grumpy Deal With It Portrait T-Shirt
C: Fruit of the Loom Men's Short Sleeve Pocket T-Shirt, 6 Pack-Assorted Colors, 3X-Large
D: Fruit of the Loom Women's 2-Pack T-Shirt Bra, White/Blushing Rose, 42D


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: 1/2 pvc coupler without nozzle
Product list:
A: CHARLOTTE PIPE 1/2 SCH 40 Coupling SXS Contractor Pack Pressure (10 Unit Bag)
B: Supply Giant 6I52 Flexible PVC Reducing Coupling with Stainless Steel Clamps, 2" x 1-1/4, Black


assistant
Answer: A,B
Task: Product_Relation_Prediction

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


user 
Instruction: Evaluate the titles of Product 1 and Product 2 to assess their similarity and whether they are likely to be purchased or viewed together. Then, select the appropriate option.

Input:
Product 1:  SHIMANO Altus Mountain Bike Front Derailleur - Multi-Clamp 
Product 2: Shimano Rd-tz 31 Rear Derailleur 7speed Hub Bolt Mount

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: 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: oreos without cream
Product: OREO Mini Cookies, CHIPS AHOY! Mini Cookies, SOUR PATCH KIDS Candy & Nutter Butter Bites Cookies & Candy Variety Pack, Christmas Cookies Stocking Stuffers, 32 Snack Packs


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: gamer chair for kids
Product list:
A: X Rocker, 5130301, V Rocker SE Black Foam Floor Video Gaming Chair, 25.2 x 18.4 x 16.4, Black
B: Best Choice Products Swivel Gaming Chair 360 Degree Multipurpose Floor Chair Rocker for TV, Reading, Playing Video Games w/Lumbar Support, Armrest Handles, Adjustable Foldable Backrest - Blue/Beige


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: 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: TRAININGMASK Training Mask 2.0 [Accessory Sleeves] Dark Invade, Insane, Jokester, Splatter and Other Character Sleeves for The Workout Mask, Running Mask, Elevation Training Mask (Large, Jokester)
Product 2: Training Mask 2.0 Sleeve - Finisher (SLEEVE ONLY, MASK NOT INCLUDED) - Customize Your Training Mask 2.0 - Elevation Training Mask 2.0 Finisher Sleeve (Medium)

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: 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: 44 inch ceiling fan without light
Product list:
A: warmiplanet Ceiling Fan with Lights Remote Control, 48-Inch, Pure White, Silent Motor (3-Blades)
B: Hunter Fan Company 59311 52" Mill Valley Ceiling Fan with Light, Large, Matte Silver
C: 44" Plaza Modern Industrial Indoor Outdoor Ceiling Fan with Remote Control Brushed Nickel Damp Rated for Patio Porch - Casa Vieja


assistant
Answer: C,A,B
Task: Product_Relation_Prediction

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


user 
Instruction: Evaluate the titles of Product 1 and Product 2 to assess their similarity and whether they are likely to be purchased or viewed together. Then, select the appropriate option.

Input:
Product 1: Ganz Remembrance Memorial Photo Ornament (Forever In Our Hearts)
Product 2: Merry Christmas Memorial Ornament - When Someone You Love Becomes a Memory

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: 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: cardigan sheer cover up womens plus size
Product: Womens Beach Cover Up Cardigan Sexy Summer Sheer Open Front Long Lace Black Kimono Cardigan


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: 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: phytoceramides without wheat
Product list:
A: Del Mar Labs - CeraLift - 30 Day Supply - Doctor Formulated - for Reduction in Appearance of Fine Lines and Wrinkles - Anti-Aging Ceramides and Antioxidants - Vegetarian Capsules
B: Biotin by Nature's Bounty, Vitamin Supplement, Supports Metabolism for Energy and Healthy Hair, Skin, and Nails, 10000 mcg, 120 Rapid Release Softgels


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: bluetooth headphones iphone
Product list:
A: Boltune Wireless Headphones, Bluetooth V5.0 IPX7 Waterproof 16 Hours Playtime Bluetooth Headphones with Magnetic Connection, Sports Earbuds for Running Built-in Mic
B: Falwedi Bluetooth 5.0 True Wireless Earbuds with Charging Case for iPhone Android, 30H Cyclic Playtime Waterproof Stereo Headphones with mic, in-Ear Earphones Headset for Sport-White


assistant
Answer: A,B
Task: Product_Substitute_Identification

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


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

Input:
Query: mickey mouse one year old toys
Product: YEEBAY Interactive Pop Up Animals Toy with Music, Animal Sound, Activity Toys for Ages 9-12 - 18 Months &1 Year Old Kids, Babies, Toddlers, Boys & Girls


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: 55 gallon trash can
Product list:
A: Rubbermaid Commercial Products FG265400GRAY Brute Heavy-Duty Round Trash/Garbage Lid, 55-Gallon, Gray
B: Carlisle 34105503 Round Waste Container, 55 gal, Black
C: Rubbermaid Commercial Products FG9W2700GRAY Brute Rollout Heavy-Duty Wheeled Trash/Garbage Can, 50-Gallon, Gray


assistant
Answer: B,C,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: hd fire 8 tablet
Product list:
A: Fire HD 10 Tablet (10.1" 1080p full HD display, 64 GB)  Black (2019 Release)
B: MoKo Case Compatible with All-New Kindle Fire HD 8 Tablet and Fire HD 8 Plus Tablet (10th Generation, 2020 Release), [Heavy Duty] Full Body Rugged Cover with Built-in Screen Protector, Black


assistant
Answer: 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: Given the user's review, identify the user's sentiment from the listed options. Answer using one of the options.

Input:
User Review: Whoever is responsible for using paper stickers on the bottom of the glasses that each take minutes to scratch take off the uneven surface, should be doing exactly that for at least one year. Goofs.

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


assistant
Answer: E: very negative
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: red xlr cable
Product: EBXYA XLR Cable 50ft 2 Packs - Premium Balanced DMX Cable with 3-Pin XLR Male to Female Microphone Cable, Black

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 to assess their similarity and whether they are likely to be purchased or viewed together. Then, select the appropriate option.

Input:
Product 1: MUTEKI Women's S.P.E.E.D. Long Sleeve, Full Zipper Cycling Jersey
Product 2: MUTEKI Women's Wings Cycling Jersey

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: 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: lashes not too long
Product list:
A: Pronexa Hairgenics Lavish Lash  Eyelash Growth Enhancer & Brow Serum with Biotin & Natural Growth Peptides for Long, Thick Lashes and Eyebrows! Dermatologist Certified, Cruelty Free & Hypoallergenic.
B: DYSILK 10 Pairs 6D Mink Eyelashes Faux Fluffy Wispy Natural False Eyelashes Long Thick Fake Eyelashes Handmade Reusable Dramatic Eyelashes Pack Makeup Lashes No Glue 10 Styles Mixed
C: The Friendly Creeper Diaries: The Relics of Dragons (Book 7): Possessed by Herobrine (An Unofficial Minecraft Diary Book for Kids Ages 9 - 12 (Preteen)


assistant
Answer: B,A,C