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: tiny glass container
Product list:
A: ZEJIA 10pcs Sample Containers with Screw Lids,5 Size 3/5/10/15/20 Gram Empty Cosmetic Jars with 12pcs Lables and 2pcs Mini Disposable Spatula,Makeup Sample Containers BPA Free
B: 5 Gram Cosmetic Containers 50pcs Sample Jars Tiny Makeup Sample Containers with lids (Black)


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: 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: mechanic glove work
Product: Safety Work Gloves PU Coated-12 Pairs,KAYGO KG11PB, Seamless Knit Glove with Polyurethane Coated Smooth Grip on Palm & Fingers, for Men and Women, Ideal for General Duty Work (Medium, Black)


assistant
Answer: yes
Task: Multiclass_Product_Classification

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


user 
Instruction: Analyze the query and product title to assess the level of relevance between them, and then output the corresponding option that best describes this relevance.

Input:
Query: work without jobs
Product: Career Success without a Real Job: The Career Book for People Too Smart to Work in Corporations

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: Analyze the query and product title to assess the level of relevance between them, and then output the corresponding option that best describes this relevance.

Input:
Query: disney shirts for women
Product: XLarge/Slate/Bippity Boppity Boo/Cinderella Spell/Disney Trip Shirt/Unisex Fit/Crew Neck T Shirt/Disney Trip Shirt/Free Shipping/Screen Printed With Eco Ink/Unisex Fit. Bella-Canvas Shirt/

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: wig for prom for balc
Product: Quantum Love Wigs Ombre Wig Black to Light Brown Side Part Long Wavy Wig Heat Resistant Synthetic Daily Party Wig for Women (Ombre Black to Light Brown)

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: 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: cheating is not cheating
Product list:
A: It's Not Supposed to Be This Way: Finding Unexpected Strength When Disappointments Leave You Shattered
B: Cheating is not a Mistake
C: Why Men Love Bitches: From Doormat to DreamgirlA Woman's Guide to Holding Her Own in a Relationship


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: 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: b brand face mask
Product list:
A: Majestic Pure Dead Sea Mud Mask for Face and Body - Natural Skin Care for Women and Men - Best Facial Cleansing Clay for Blackhead, Whitehead, Acne and Pores - 8.8 fl. Oz
B: 20 PCS Black Windproof Dustproof _Masks_Covers with Elastic Ear Loop Cover Full Face Anti-Dus,Breathable Reusable Washed


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

Input:
Product 1: Amarine-made 4 Gang LED Waterproof Marine Boat Toggle Switch Panel with 5 Breakers, Power Socket &amp; Voltmeter
Product 2: Perko 8501DP Marine Battery Selector Switch

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: 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: 1 oz boston round glass bottle without lid
Product list:
A: 12 Pack 30 ml 1 oz Amber Glass Bottles with Glass Droppers and Black cap.Glass Dropper Bottles for Essential Oils,Lab Chemicals,Colognes,Perfumes.Included 1 Brush,2 Funnels and 24 Labels.
B: (Pack of 108) 1 oz. Clear Boston Round with Black Cone Lined Cap


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: french door blinds
Product: RYB HOME Large Curtains 84 inches Long - Blackout Vertical Blinds Living Room Window Curtains, Light Block Thermal Drape for Dining Farmhouse Cabin Room Divider, W 100 x L 84, Cappuccino


assistant
Answer: yes
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: I am preparing to order the pet windtunnel.  The vacuum was paired with these belts as items ordered together.  I decided to check the part number first and found that, according to the video manual, these are the WRONG belts.  The correct belt part number is 562289001.  I'm thankful that I won't be stuck with useless belts and hope this helps others......... and Amazon to correct the problem.

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: chandelier without lights
Product list:
A: Linea di Liara Teramo Satin Brass Metal Wagon Wheel Chandelier - Large Round Dining Room Light - Modern Farmhouse Rustic Light Fixture - 36 inch Gold Ring Chandelier W/ Clear Glass Shade
B: Wellmet Matte Black Wagon Wheel Chandelier 16-Light Diam 47 inch, Farmhouse Rustic Industrial Country Style Large Round Pendant Light Fixture for Dining Room, Living Room
C: Rustic Antler Chandelier , 9 Lights , Vintage Antler Ceiling Light Fixtures ,E12 Base , Deer Horn Pendant Light for Home Bar Coffee Hotel Store (9 Lamp Arms+ 6 Arms)


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: 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: eyelash blouse
Product list:
A: Alfred Dunner Women's Costa RIca Eyelash Striped Shirt (X-Large)
B: Avidlove Women Sexy Lingerie Cold Shoulder Eyelash Lace Babydoll(White,XXL)
C: Joie Women's Nazly Top, Porcelain, White, XS


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: 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: id choose a softshell jacket that i can ear a hoodie underneith
Product list:
A: Tokisaki Toilet-Bound Hanako-kun Nene Yashiro Costume Yugi Amane Hooded Jacket Cosplay for Men Trucker Jacket Woman Denim Jacket (S, Hanako-kun -11)
B: TOURBON Skeet Trap Shooting Shotgun Shell Holder Double Ammo Cartridge Pouch - Canvas and Leather
C: Yes I Really Do Need All These Cats Crazy Cat Lady Gift Cute Pullover Hoodie


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: 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: They were a little too big went off description but they were bigger and didn't fit

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


assistant
Answer: D: 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: 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: transformers iphone xs max cases
Product: ZIZO Transform Series for iPhone 11 Pro Max Case - Dual-Layer Protection with Kickstand, Military Grade Drop Protection - Red

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: 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: The Lemonader. A mere $5 shipped from Amazon, I figured delcious lemonade was finally in my grasp.

Oh, a naive fool be I!

I feel foolhardy for not having pictures from the debacle that was brewing our first pitcher of lemonade. Words will just have to do.

First of all, it's a strangely complicated procedure for making a drink that consists only of water, sugar, and lemon.

First the exact amount of water it tells you to add changes. I was told by fellow lemonade brewers that I just didn't read well, but does this really seem a plausable reason for me screwing up? Doubtful.

The result of this was I poured in far too much water. "Oh no!" you might think "the pitcher is going to overflow and spill hot lemony water all over you! You'll get burned!" No, kids, don't worry. The fine people at LemonCorp knew of this danger and for that reason put a rather sizable hole where you pour the water in. So instead of having watered down lemonade you instead get water all over the place. The best part about the hole is it just comes straight out the back of the contraption. Not into any type of fail-safe mechanism which would catch the water pouring out at a rather rapid pace (seeing as they tell you to put in triple the water you actually need to).

Good design.

Well, whatever, we got that figured out so we turn it on and it starts to `brew' the sugar water. I didn't expect this but the Lemonader is much like a coffee machine, except instead of coffee grounds, it uses pure uncut sugar. Mmmm.

While this is going on you're supposed to put some lemons onto that juicer at the top so as to add essence to the Lemonade.

I start doing so. Everything's fine until around the third lemon.

This is when the machine shoots hot steam at whomever is close enough to it to get painfully burned. Yep, if the water all over your kitchen doesn't piss you off, they burn you too.

Nice.

So after tending to my third-degree burns and realizing I can no longer ream any more lemons (too dangerous!) we let the lemonade maker do its thing.

Aside from a pitcher of rather regular tasting lemonade, there was a nice pulpy mess that made me just want to jump up and make another pitcher.

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


assistant
Answer: E: very negative