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: 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: AB Lifestyles 60x75 Short Queen Sheet Set for Campers, RVs, Travel Trailers Cotton/Polyester blend Color: Bone (cream) with Wheat trim
Product 2: AB Lifestyles Short Queen Sheet set 60x75 White w/NAVY BLUE trim for your camper, RV, or travel trailer

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: outdoor furniture dining sets clearance 8 seater
Product list:
A: GEMITTO Outdoor Patio Furniture Cover, 420D Heavy Duty Waterproof Patio Table Covers, Wind Dust Proof Anti-UV Durable Protective Covers for Bad Weather Rain Winter Snow(95.3x63.8x39.4 inch)
B: Devoko 9 Pieces Patio Dining Sets Outdoor Space Saving Rattan Chairs with Glass Table Patio Furniture Sets Cushioned Seating and Back Sectional Conversation Set (Beige)
C: Devoko 5 Pieces Patio Furniture Sets All Weather Outdoor Sectional Sofa Manual Weaving Wicker Rattan Patio Conversation Set with Cushion and Glass Table (Beige)


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: 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: cookie monster party supplies
Product list:
A: Allenjoy Cookies Blue White Stripes Backdrop Kids Happy First 1st Birthday Party Decor Gold Silver Flags Carnival Festa Cake Table Banner 7x5ft Photography Background Photo Booth Props
B: Sesame Street Cookie Monster Baby Toddler Boys Short Sleeve Tee (2T, Blue)
C: PANTIDE Sesame Party Decorations | Sesame Cutouts Door Sign Porch Sign | Hanging Flags Banners for Outdoor and Indoor Home Wall Decor | Elmo Monster Big Bird Ernie Oscar Inspired Party Supplies


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: boys organizer backpack
Product list:
A: Diaper Bag Backpack, iSPECLE Multifunctional Unisex Diaper Bag Organizer Large Capacity Baby Bags with Bottle Warmer Heating Insulated Pockets Stroller Straps and USB Charging Port
B: Fortnite Backpack, Artwork, Black Combo
C: Bundle-Diaper Bag Backpack,Multifunction Travel Backpack Waterproof Baby Bags,Mancro Large Capacity Changing bag for Mom with USB Charging Port,Insulated Pockets,Changing Pad Stroller Straps,Grey


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: 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: iqos heat not burn
Product list:
A: Zen Menthol King Cigarette Tubes 200ct Carton 5 Pack
B: Penetrex Joint & Muscle Therapy, 4 Oz Cream  Intensive Concentrate for Relief & Recovery  Whole-Body Formula w/Arnica, Vitamin B6 & MSM (DMSO2) for Your Back, Neck, Knee, Hand, Shoulder, Feet, etc.
C: Duracell - CopperTop AAA Alkaline Batteries - Long Lasting, All-Purpose Triple A Battery for Household and Business - 24 Count


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: 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: cold brew coffe cup
Product list:
A: Starbucks Cold Brew Coffee, Signature Black, Pitcher Packs, 8.6 Oz, Pack of 3
B: Cold Brew Coffee Maker, Portable Iced Coffee and Tea Infuser with Airtight Lid, Reusable Stainless Steel Mesh Filter for Iced Tea/Coffee, 3cup, 26oz, Easy To Clean
C: Contigo AUTOCLOSE Shake & Go Double-Wall Tumbler, 16 oz, Clear


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

Input:
Query: cat puns freak meowt - seriously i'm not kitten shirt
Product: Funny Cats Puns Freak Meowt - Seriously I'm Not Kitten Tank Top

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: 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: thanksgivingchristmas outfit for baby boy
Product list:
A: Simple Joys by Carter's Baby Toddler 2-Pack Holiday Loose Fit Flame Resistant Fleece Footed Pajamas, Heather Grey Reindeer/Green Santa, 3T
B: Fairy Baby Formal Baby Boy Outfit Infant Baby Tuxedo Suit Boys Gentleman Dress Clothes 3-6 Months, Brown
C: Kionio Baby Boy Clothes Hoodie Set Tie Dye Sweatshirt Outfits Long Sleeve Tracksuit Pants 2PCS Fall Winter (6-12 Months)


assistant
Answer: C,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: 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: Could be bigger.  Mosquitos can bite through wherever it touches the hammock

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


assistant
Answer: C: neutral
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: brave new world
Product: This Brave New World: India, China, and the United States

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


assistant
Answer: D: The product is irrelevant to the query.
Task: Query_Product_Rank

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


user 
Instruction: Given a query and a list of products denoted as A, B, C, ... with their titles, rank the products according to their relevance to the query. Output only a ranked list in which the most relevant product is at the top of the list.

Input:
Query: 8 inches chinese rosewood pedestal
Product list:
A: Oriental Furniture Rosewood Scroll Stand - Small
B: Oriental Furniture Rosewood Plate Stand - 8 in.
C: Oriental Furniture Rosewood Square Base Stand - 4 in.


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: Assess the user's sentiment in the provided review and select the appropriate sentiment option from the list as the answer.

Input:
User Review: My son bought the Audiovox DVD1500 portable DVD player in early November 2001.  He doesn't use it very much and takes good care of it.  He even has a padded bag where he stores it when not in use.  We have had to send this product back to Audiovox in New York twice; Nov 26, 2001 and Mar 18, 2002 at our expense...The first time the DVD player would not play at all, which Audiovox was prompt ( approximately 3 weeks) in sending us a new DVD player, and the second time because the picture would not show up on the portable screen, although we could hear the sound.  Audiovox promptly (within about 3 weeks) returned the DVD player to as with a note that they could not find anything wrong, but they cleaned it.  It currently is working, but I would rather have received a refund the second time.  Buyer beware.

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


assistant
Answer: E: very 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: flip crayons handwriting without tears
Product list:
A: Learning Without Tears Building Writers, Student Edition- Grade 4, Writing Skills in Narrative, Information, Opinion Style, Writing Fluency- Independent Writing or Whole Class- For School and Home Use
B: Learning Without Tears Pencils for Little Hands- Trans K1, Handwriting, Writing Tools, Bulk Pencils, Sensory - For School and Home Use
C: Azafran Organic Pencil Crayons - Pack of 15 Colored Thins, Non Toxic Ingredients, Non-Greasy, Eco Friendly, Food Grade Colors, for Toddlers, Fun with Playing and Stacking - 127 Grams
D: Pencil Grips, Pencil Grips for Kids Handwriting, HAWOWZ Writing Aid Gripper Trainer, Finger Grip Posture Correction Tool for Children Preschooler 8 Pack


assistant
Answer: B,C,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: 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: mudcloth lumbar pillow
Product list:
A: Hofdeco African Mudcloth Lumbar Pillow Cover ONLY, Indigo Shibori Inspired Print D, 12"x20"
B: Amazon Brand  Rivet Mudcloth-Inspired Decorative Throw Pillow, 12" x 24", Onyx 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: 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: 1 gal. steel paint cans without lids
Product list:
A: 2 Pack - 1.28 Gallon White Square Plastic Storage Containers - Jars w/Plastic Airtight Lids  164 Oz Empty Jugs with Handles - Wide Mouth Easy Clean Jar - BPA free food Safe  for Home & Commercial
B: Halo EFX No Mess Paint Can Lid w/Integrated Pour Spout
C: Quart Size Clear Plastic Paint Cans (2-Pack, 5 in Tall); Decorative Faux Small Paint Pails w/Handle & Bale for Crafts, Decorating, Baby/Wedding Shower Decor, NOT Intended for Liquids or Heavy Objects
D: Empty Quart Paint Cans with Lids (2 Pack) Empty Metal Paint Storage Cans with tops container set


assistant
Answer: D,C,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: came very fast, very easy to setup and installs in the back of your desktop within minutes. I have two of these capture cards, one for consoles and another for a camera for Streaming. The live record button it comes with works really well and can use it as a foot-switch. The wire on it is plenty long so you are set to do YouTube or Twitch Or any other platform you want to record /stream on.

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: psycho rangers
Product list:
A: Saban's Power Rangers Original Graphic Novel: The Psycho Path (Mighty Morphin Power Rangers)
B: Psycho Ranger
C: Bandai Collectible Power Rangers Team 6-Piece Set With Exclusive Metallic Goldar


assistant
Answer: A,C,B
Task: Multiclass_Product_Classification

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


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

Input:
Query: prana shorts for women
Product: prAna Women's Standard London Jean, Heritage Wash, 6 Short

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


assistant
Answer: D: The product is irrelevant to the query.