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: 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: papillon back massager with heat
Product list:
A: Thera-P Shiatsu Massage Pillow Full Body Pillow Deep Tissue Kneading Neck, Back, Lumbar, Shoulder, Leg Massager 4 Rotating Nodes Plush Soft Design HoMedics
B: Cervical Alignment Chiropractic Pillow,Neck Massager with Heat and Magnetic Therapy,Bolster Pillow Cervical Traction Device for Neck Pain Relief,Stiff Neck,Support of Neck,Cervical,Gifts for Women/Men
C: Snailax Shiatsu Massage Seat Cushion - 2D/3D 2-in-1 Modes Back Massager with Heat, Rolling Kneading Massage Chair Pad for Back Gifts for Women/Men/Dad/Mom


assistant
Answer: C,B,A
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: New york city skyline at night Shower Curtain, Shower Rings Included 100% WaterProof Polyester Fabric 60&quot; x 72&quot; Bath Shower Curtain
Product 2: Nyc brooklyn bridge Black and white photo Fashion Shower Curtain, Shower Rings Included 100% WaterProof Polyester Fabric 48&quot; x 72&quot; Bath Shower Curtain

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: 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: no heat fireplace insert
Product: DIMPLEX Revillusion 25" Plug-In In Electric Fireplace Log Set Model: RLG25), 120V, 1500W, 12.5 Amps 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: 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: The gloves do have a smell to them but who cares....my nephew will enjoy them!

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: 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: parachute pants for women
Product list:
A: Amazon Essentials Women's Solid Drawstring Linen Crop Pant, White, S
B: Boho Vib Women's Rayon Print Smocked Waist Boho Harem Yoga Pants (Small/Medium, Solid Black)


assistant
Answer: B,A
Task: Sentiment_Analysis

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


user 
Instruction: 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: Makes great coffee.  The low price makes it a bargain.  I don't follow the instructions -- I do tamp down the coffee lightly.  The only complaint is that the aluminum coating on the interior of the water chamber is wearing off a little.  i don't scrub it, so it can't be because of how it's being cleaned.

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


assistant
Answer: B: positive
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: the secret keeper
Product: Keeper of Secrets

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: cling on paint brush
Product: MAXMAN Chalk & Wax Paint Brush Set, for Chairs, Chalk Painting, Table and Wood Refinishing Furniture Small DIY Painting and Waxing Tool | Smooth, Natural Bristles | Folk Art, Home Decor, Small Size

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: luminaid packlite 2-in-1 phone charger lanterns
Product list:
A: LED Camping Lantern with Ceiling Fan, Rechargeable Camping Light with Portable Fan, LED Lantern Flashlight with 6 Modes for Survival, Hiking, Hurricane, Emergency, Outages, Fishing, 8000mAh Power Bank
B: LE LED Camping Lantern Rechargeable, 1000LM, 4 Light Modes, 4400mAh Power Bank, IP44 Waterproof, Perfect Lantern Flashlight for Hurricane Emergency, Hiking, Home and More, USB Cable Included
C: Wsky LED Camping Lantern Rechargeable Light Flashlight - T2000 High Lumen, 6 Modes, 3600mAh Power Bank - Best Lantern Flashlight for Camping, Outdoor, Hurricane, Emergency, Everyday Light Flashlight


assistant
Answer: C,B,A
Task: Product_Substitute_Identification

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


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

Input:
Query: all black nike shoes for women
Product: Nike Womens Air Zoom Pegasus 37 Casual Running Shoe Bq9647-002 Size 10 Black/White


assistant
Answer: yes
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: (30) Empty 21 mm Thick Quad Blue Replacement Boxes / Cases for Blu-Ray DVD Movies - Holds 4 Discs  - BR4R21BL
Product 2: (5) Triple Blu-Ray DVD Replacement Cases - 14MM Thick

Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.


assistant
Answer: C
Task: Query_Product_Rank

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


user 
Instruction: Evaluate the relevance of each product title in the input to the given query, and then sort the products in descending order of relevance, placing the most relevant product at the top of the ranked list.

Input:
Query: fortnite birthday party decorations
Product list:
A: Birthday Party Supplies for Game Fans, 162 pcs Video Game Party Supplies - Table Cover - Drop Bags - Invitations - Cake Decorations for Game Party Decoration.
B: party supplies for_tnite cake topper [52pcs]


assistant
Answer: B,A
Task: Sentiment_Analysis

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


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

Input:
User Review: We bought this blender to make fruit smoothies, usually with soft fresh fruit and ice.  We always start with our liquid, then the fruit, then the ice. Almost immediately, we detected a burning smell.  I thought it was supposed to have an auto shut off to prevent the motor from burning.  Now, we are hesitant to use it.  We thought this "top of the line" blender would be heavy duty enough.  Oh well.

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: 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: 100ft retractable air hose reel without hose
Product list:
A: ReelWorks L201303A Hand Crank Air Compressor Hose Reel without Hose
B: 100FT Garden Hose Reel Wall Mount Expandable 3 Times TPE Super-Strength High Pressure Flexible Water Hose with 3/4" Solid Fittings Comes with Free Hose Hook
C: Expandable Garden Hose 100ft - Expanding Water Hose with 10 Function Nozzle, Easy Storage Garden Water Hose


assistant
Answer: A,C,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: 9PCS Outdoor Headscarves, Womens and Mens Headband Headwear
Product 2: KINGREE Polar Fleece Headband, Fleece Neck Warmer - Wear as a Neck Gaiter Tube, Beanie, Mask &amp; Headband.

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: 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: holographic eyeshadow
Product list:
A: Chunky Cosmetic Holographic Glitter I Body, Face & Hair Safe I 16 Pack + 1 Glitter Glue
B: Teenitor 48 Colors Glitter Set, Fine Glitter for Resin, Arts and Craft Supplies Glitter, Festival Glitter Makeup Glitter, Cosmetic Glitter for Body Nail Face Hair Eyeshadow Lip Gloss Making
C: Pro 35 Colors Glitter Eyeshadow Palette with Eyeshadow Brush,Highly Pigmented Pressed Soft Creamy Metallic Matte Shimmer Naked Eye Shadow Powder Makeup Palette Set
D: L'Oreal Paris Brilliant Longwearing Lasting Shimmer Liquid Eye Shadow, Crease Resistant, Flake-Proof, Precision Applicator, Quick Dry, Non-Greasy, String of Pearls, 0.1 Fl Oz


assistant
Answer: C,D,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: yellow bedroom bedding sets queen
Product list:
A: Queen Size Sheet Set - 4 Piece Set - Hotel Luxury Bed Sheets - Extra Soft - Deep Pockets - Easy Fit - Breathable & Cooling - Wrinkle Free - Comfy  Light Grey Bed Sheets - Queen Sheets  Fitted Sheets
B: Wake In Cloud - Striped Comforter Set, 100% Cotton Fabric with Soft Microfiber Fill Bedding, Yellow Lemon Pattern with Black and White Stripes Printed (3pcs, Queen Size)


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: 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: non slip bath stickers
Product list:
A: YINENN Bath Tub Shower Mat 40 x 16 Inch Non-Slip and Extra Large, Bathtub Mat with Suction Cups, Machine Washable Bathroom Mats with Drain Holes, Light Green
B: Non Slip Bathtub Stickers 28 PCS Adhesive Anti Slip Shower Stickers for Bath Tub,Bathroom,Stairs with Premium Scraper


assistant
Answer: B,A
Task: Product_Substitute_Identification

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


user 
Instruction: 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: bath flower
Product: Baby Bath Cushion Sink Bather, Soft Quick Drying Bathtub Mat for Infant Bathing Tub Support, Machine Washable for 0-9 Months Newborn, Cute Eagle


assistant
Answer: yes