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: 100' power cord
Product list:
A: 100 ft 14 Gauge Black ETL Listed Indoor, Outdoor AC Power Electric Cable Extension Cord 14 AWG 3 Prong 125 Volts, 13 Amps 1625 Watts Black 100ft feet Foot (25, 50, 75, 100 ft)
B: 100-ft 12/3 Heavy Duty Lighted SJTW Indoor/Outdoor Extension Cord by Watt's Wire - Long Yellow 100' 12-Gauge Grounded 15-Amp Three-Prong Power-Cord (100 foot 12-Awg)
C: 100 Foot Outdoor Extension Cord - 16/3 SJTW Durable Green Extension Cable with 3 Prong Grounded Plug for Safety - Great for Powering Christmas Lights


assistant
Answer: B,C,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: 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: they smell terrible but helped us start a fire in the pooring rain more than once on a two week camping/road trip. I would recommend to keep in emergency situations, but you will want them in something airtight because the odor is offensive.

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


assistant
Answer: A: very positive
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: This goes without saying. Henckels are some of the best kitchen knifes made, the choice of pro's around the world. This is razor sharp and holds an edge very well. There are all kinds of companies out there on Amazon selling the same size knife in neat colors. But why risk it, I don't want to buy more than one knife in this size, "buy quality you only cry once".

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


assistant
Answer: B: positive
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 second these got wet on the inside the anti-fog coating peeled off in huge sheets and bubbles. Otherwise they're cute and they work ok. They fog like hell now that the anti-fog coating is gone.

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


assistant
Answer: C: neutral
Task: Query_Product_Rank

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


user 
Instruction: 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: diy crystal mold set with159 pcs kit
Product list:
A: Jewelry Silicone Resin Molds Kit - 160pcs Earring Epoxy Resin molds for epoxy Resin, Molds for Epoxy Resin for Making Earring, Necklace, Pendant, Keychain, DIY Jewelry - Small Resin Mold Set
B: Candle Making Kit by Craft It Up! Complete DIY Beginners Set with Silicone Molds, Soy Candle Wax Supplies Plus Pot, Wicks, Essential Oils & More, Scented Homemade Candles Set for Teens & Adults
C: Epoxy Resin Crystal Clear Casting Resin for Epoxy and Resin Art | Pixiss Brand Easy Mix 1:1 (17-Ounce) | 15 Mica Resin Tinting Powder Pigments for Tumblers, Jewelry Resin, Molds, Crafting Resin Kit


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: 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: Blast Golf Swing Trainer | Analyzes Swing | Tracks Stroke Metrics | Video Capture Creates Highlights |App Enabled, iOS and Android Compatible | Golf Channel Academy Official Technology Partner
Product 2: Most Important Stretch In Golf - MISIG - Golf Training Aid and Golf Swing Trainer Device

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: 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: be careful....  on the inside where the handles are welded its concave. the finish had fallen off from the factory to my house.  The second one ordered had the same problem.  If it wasn't made so thin they might have a great product.  such a shame as things are made so cheaply so corporate bigwigs make a dime.  on a footnote, amazon was very fair and understanding and I will continue business with them

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: compressor wire terminal repair kit
Product list:
A: Clore Automotive Jump-N-Carry JNC660 1700 Peak Amp 12 Volt Jump Starter , Blue
B: Jtron Dc 12v 10a Male Cigarette Lighter Plug with Power Wiring Cable Car to Take Power Black Power Cord for Inverter


assistant
Answer: A,B
Task: Multiclass_Product_Classification

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


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

Input:
Query: hair products for men
Product: Levi's Men's 100% Cotton Multi-purpose Bandana Gift Sets  Headband, Wrap, Protective Coverage, Navy/White, Pack 2

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: 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: 10x10 replacement top without peak pole
Product list:
A: Yescom 117"x117" Canopy Top Replacement Y0049707 Red for Smaller 10'x10' Single-Tier Gazebo Cover Patio Garden Outdoor
B: ABCCANOPY Sand Bags Canopy Tent Weights,4 Pack (Black)
C: Strong Camel 10'x20' Carport Replacement Canopy Cover for Tent Top Garage Shelter Cover with Ball Bungees (Only Cover, Frame is not Included)
D: Coleman Instant Canopy, 7 x 5 Feet


assistant
Answer: A,D,B,C
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: Black White Washed Rubberized Super Kendama, Super Sticky, Japanese Wooden Toy, Free String, USA Seller
Product 2: Black White Washed Shinny Super Kendama, Super Sticky, Japanese Wooden Toy, Free String, USA Seller

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: model magic clay soft
Product list:
A: HOLICOLOR Air Dry Clay Kit, 36 Colors Magic Clay Ultra Light Modeling Clay for Kids with Accessories, Tools and Tutorials, Arts and Crafts Gift for Kids Age 3-12 Year Olds
B: Crayola Model Magic, Modeling Clay Alternative, 5 Shimmer Colors, 2.5 oz
C: Modeling Clay Kit - 24 Colors Air Dry Ultra Light Magic Clay, Soft & Stretchy DIY Molding Clay with Tools, Animal Accessories, Easy Storage Box Kids Art Crafts Gift for Boys & Girls Age 3-12 year olds


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 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: 4 ft gold christmas tree with lights
Product list:
A: BrylaneHome 4' Rose Gold Christmas Tree, Rose Gold Black
B: National Tree Company Pre-Lit Artificial Christmas Tree, Silver Tinsel, White Lights, Includes Stand, 4 feet


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: black widow costume for women
Product list:
A: Short Ginger Orange Cosplay Wig - Women Girls Synthetic Wavy Anime Role Play Hair Wigs for Party Costume Halloween
B: TOP Moda Pack 72 Womens Military Lace Up Buckle Combat Boots Black 6


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: crocheted throw rug patterns
Product list:
A: Modern Crocheted Blankets Throws & Cushi
B: Mohawk Home Dual Surface Felt and Latex Non Slip Rug Pad, 1/4" Thick, 2'x12', Brown
C: Bath mat for Bathroom Kitchen and Spa with Crochet Pattern Cotton Luxury Absorbent Soft Reversible Bath Rug ( Grey, Oval, 24x17 Inches )


assistant
Answer: C,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: 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: bmouo kids case for new ipad 10.2
Product list:
A: BMOUO Case for iPad Mini 1 2 3 - Built-in Screen Protector, Shockproof Lightweight Hard Cover Handle Stand Kids Case for iPad Mini 1st 2nd 3rd Generation, Rose Purple
B: LTROP New iPad 9th Generation Case, iPad 8th Generation Case, iPad 7th Generation Case for Kids, iPad 10.2 Case 2021/2020/2019, Shockproof Handle Stand Kids Case for iPad 9/8/7 Gen 10.2-Inch, 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: 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: $3 nail tips without tax
Product list:
A: Disposable Lipstick Wands Applicators 600pcs - Disposable Lip Brushes Disposable Lip Wands ECBASKET Lipgloss Applicators Tester Wands Disposable Makeup Applicators Makeup Brushes Tool Kits Black
B: EAONE 500Pcs Natural Acrylic Nail Tips Half Cover French Nail Tip False Nails Artificial Fake Nail Tips with Nail Clipper Cuticle Pusher Nail Files and Brush for Women Girls Salon Nail DIY Nail Art
C: MISMXC 500 Pcs French Short Style Acrylic False Nail Art Tips Finger Sticker Extension Tool,10 Sizes


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

Input:
User Review: by useing this product i use it once a mo0nth the other weeks i just have to give a easy moping

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


assistant
Answer: B: positive
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: Genuine Dell Vostro 420 High Profile VGA, DVI, HDMI Pegatron VUI-G310DE Video Graphics Card, nVidia GeForce G310 512MB PCI-E, Compatible Part Numbers FTGGG, M114N, G31DE
Product 2: MSI ATI Radeon HD6450 1 GB DDR3 VGA/DVI/HDMI Low Profile PCI-Express Video Card R6450-MD1GD3/LP

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