JackyChunKit/Qwen3_SFT_Post huggingface dataset:
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: weathertech mud flaps
Product: WeatherTech Custom MudFlaps for Suburban/Yukon/Yukon XL - Front & Rear Set Black (110038-120048)


assistant
Answer: no
Task: Product_Substitute_Identification

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


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

Input:
Query: womens sweaters for fall
Product: HZSONNE Women Kimono Bell Sleeve Knitwear-Oversized Patchwork Stripe V Neck Pullover Sweater Knitted Tops Blouse Cardigan (Brown, Medium)


assistant
Answer: no
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: Park Designs Cinnamon Panel, 72 x 63
Product 2: Park Designs Red Burlap and Check Panel, 72 x 63

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: 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: This product is great.  I have only two peeves.  The first is the cord clip.  It is made out of cheap plastic and the belt clip will break quickly.  My second issue is the fit.  The headphones fit snug, but after a while my head would get a bit sore.  Other than that, all is well.

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

Input:
User Review: I really liked this ab wheel. It was easy to put together and use but for me the bars were too hard on my hands even with putting some socks there for padding. It left painful indentations, but I have really thin skin on my hands so this just might be my problem. Since I couldn't use it as often as I liked I didn't really notice much change in my abs.

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: Determine the relevance between the query and the product title provided, and select your response from one of the available options.

Input:
Query: old fashion mix
Product: Barsmith Old Fashioned Bar Mixer, 375 mL

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: A: The product is relevant to the query, and satisfies all the query specifications.
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: soundpeats q32
Product: SoundPEATS Q30 HD Bluetooth Headphones

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: A: The product is relevant to the query, and satisfies all the query specifications.
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 words do not line up with the holes.  The outside turning part to pick your drink it completely worthless as I can't read half of the stuff.  The novelty wore off as soon as I saw that I'd have to take the inner core out of the sleeve to be able to read any of the drinks.  Not even worth my time in returning it.  Works great as a regular shaker though, but if that's what you want, just buy a regular shaker and don't spend your money here.

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: women bifocal reading glasses 2.50
Product list:
A: 2 Pack Blue Light Blocking Progressive Multifocus Reading Glasses for Women Men,Progressive Readers with Spring Hinge (Multicolor, 2.5)
B: Peepers by PeeperSpecs Women's Nature Walk Soft Square Reading Glasses, Tortoise/Aqua, 49 + 2.25
C: Readers.com Reading Glasses: The Ambrosia Bifocal Reader, Plastic Cat Eye Style for Women - Brown Tortoise, 2.50


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: It's not the lack of capabilities of the equipment 9 times out of 10, it's the photographer. Either the 'set-up' is wrong, or simply one element of the shot isn't covered in a setting within the camera, (or lens/flash/whatever) that in turn ruins what the preconceived idea, (or mental photo) the photographer has in his/her mind and doesn't 'come out right' onto print/screen thus causing undue frustration. Notice your practice technique and stop blaming the equipment.

I'm one for expecting results in this digital age but with serious glass like this (and others), one must earn it. The brand makes little difference however your subject/technique/set-up does! (I to this day continue to use my older Nikon D1X and F2AS w/ manual primes from time to time just to keep it real). Try this: Go find a Pentax K1000 and do it yourself! You'll find where the flaws are quickly!

In lesser words; the "equipment", (including this lens) can only do what it's told to do within the parameters given/operated by you. Need more light? Meter twice + Open it up! Not enough DOF? Close it down and shoot with a flash/fill light + Bracket! Camera shake? Use a bi/tripod, hold your camera/breath and block the wind or simply wait for the moment to arrive! Work within the parameters of the equipment and do what it takes to make your shot!

IMHO modern photographic equipment does almost too much for us these days, (and we expect automatic instant perfection) whereas if you follow the rules and obey the laws of physics you'll practice consistency and have nothing but praise about all of your work & tools. You'll know what works & what doesn't and not waste time/effort but yet have the results you want + gain experience & proficiency.

It's time to get back to basics people. Study "the Greats", (like Ansel Adams) then learn from their mistakes & techniques and add your own personal touch to the photographic universe. This is a modern wonder of a lens, so learn how to use it and just have fun.

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: 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: This is the second Logitech trackball I've purchased. The first one is still going strong after 5 years of use. While the new one isn't exactly the same as the older model it does what it's designed to do. It took a little getting use to because the track ball does feel different compared to my older one. Partly the software settings and partly the physical feel of how the trackball rolls. Like I said it was purchased for a second laptop we have for our daughter. If you hate using the laptop pointer or a mouse. This is worth checking out. In fact I'm sitting in my favorite recliner writing this review. You couldn't do that with a regular mouse...:)

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: 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: its christmas fact
Product list:
A: Put A Smile On Your Face (It's Christmas Time) by Paul Whitfield & The Aqua Babes
B: Coto7 If My Mouth Doesnt Say It My Face Definitely Will Men's T-Shirt Black


assistant
Answer: A,B
Task: Product_Relation_Prediction

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


user 
Instruction: Evaluate the titles of Product 1 and Product 2, then choose the option that best describes the relation between the two products.

Input:
Product 1: Adafruit Mini Pan-Tilt Kit - Assembled with Micro Servos
Product 2: SunFounder Ultimate Sensor Kit for Arduino UNO R3 Mega2560 Mega328 Nano - Including 98 Page Instructions Book

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


assistant
Answer: A
Task: Product_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: RAM MOUNTS (RAP-B-200-12U Composite Double Socket Swivel Arm for 1&quot; Ball Base
Product 2: RAM MOUNTS (RAP-B-379U-M616 1&quot; Tough-Ball with M6-1 X 6 mm Male Threaded Post

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: 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: hello world newborn clothes for girls
Product: Dramiposs Newborn Baby Girl Newborn Hello World Outfit Floral Bodysuit with Blanket (Pink,0-3 Months)


assistant
Answer: no
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: 4xl medieval halloween costumes for men
Product list:
A: Mens Gothic Medieval Tailcoat Jacket, Steampunk Vintage Victorian Frock High Collar Coat Halloween Costumes (XXXXL, Black)
B: Game of Thrones Night King Mask


assistant
Answer: A,B
Task: Sentiment_Analysis

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


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

Input:
User Review: Smaller than I thought, but I love it. It doesnt take up too much space on my counter! Ive only fried fish in it and it was delicious.

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: 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: red dresses party elegant
Product list:
A: Women's V-Neck Sequin Dress Patchwork Evening Party Maxi Dress Burgundy US12
B: Aphratti Women's A Line Cute Cocktail Party Short Sleeve Scalloped Skater Dress Large Red
C: Red Flower Girls Dresses for Wedding Bridal Gold Sequin Tulle Tutu Dress Party Princess Pageant Ball Gown Size 5 5T A Line Backless Birthday Elegant Gowns Age 5 Red 120


assistant
Answer: B,A,C