JackyChunKit/Qwen3_SFT_Post huggingface dataset:
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: 30 inch mirror set
Product: US Shipping Vanity Set with Lighted Mirror, YEEGO Makeup Vanity Dressing Table Dresser Writing Desk with Drawer for Bedroom Easy Assembly, White(10PCS Cool LED Bulbs)

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: alpine watches for men
Product list:
A: ALPINE Sporty Padded Nylon Fabric watch band - 20MM, BLACK/ BLACK
B: Alpina Men's Startimer Stainless Steel Swiss-Automatic Watch with Leather Strap, Black, 21 (Model: AL-525G4TS6)
C: Tissot Men's T0954173605700 Quickster Chronograph Analog-Display Swiss Quartz Black Watch


assistant
Answer: B,C,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: 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: Louisville Slugger 2010 TPX Youth  Omaha XT Stiff Baseball Bat
Product 2: Rawlings Official League Recreational Use Baseballs, Bag of 12, OLB3BAG12

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: cup holder hook for knee scooter basket
Product list:
A: Kemimoto Cup Holder, Roll Bar Cup Holder for Bike UTVs Wheelchair Scooter Walker Rollator and Boat Cup Drink Holder with Mesh Pockets and Sticky Straps
B: KneeRover Knee Scooter Basket Accessory with Convenient Handle - Compatible with Most Knee Scooters


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: 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: acorn tv subscription in prime
Product list:
A: The German Woman
B: Own Worst Enemy


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: 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: jack and sally jewelry rings
Product list:
A: Jack and Sally Nightmare Before Christmas Moon Pendant Necklace, Earrings, Bracelet, Charms Gift (B)
B: Wowsoul Black Stainless Steel His Sally & Her Jack Couples Ring Wedding Engagement Band Size 6
C: JEULIA "Pumpkin King Jack Skull Women Rings 925 Sterling Silver Skull Diamond Ring Bridal Set Wedding Engagement Anniversary Promise (7.0(U.S))


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: 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: cdb cream for pain relief best seller, america green
Product list:
A: Corganics Topical Pain Relief Cream Natural Essential Oil Based Knee Joint Back Leg Feet Foot Hands Arthritis - Tube, 4 oz.
B: Aromalief Hemp Cream with Lavender Aromatherapy - 1000MG Made in USA - Relieve Muscle & Joint Pain- Menthol, Glucosamine, Chondroitin MSM - Vegan & Cruelty-Free...
C: Hemp Gummies for Pain and Anxiety Inflammation Relief Sleep Stress Aid Mood Focus Calm Vaginal Dryness Vegan Edible Cbdfx Cdb Cbs Cbdmd Hemp Gummy Max Strength Organic Weed Candy Zero CBD Oil (2 Pack)


assistant
Answer: B,A,C
Task: Query_Product_Rank

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


user 
Instruction: 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: game of thrones season 8 dvd
Product list:
A: The Dragon and the Wolf
B: The Blast of the Starks (with Kumail Nanjiani)
C: Game of Thrones: Season 8 [DVD] [2019]


assistant
Answer: C,A,B
Task: Query_Product_Rank

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


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

Input:
Query: this book will not be fun
Product list:
A: I Am Not a Chair!
B: The Boy, the Mole, the Fox and the Horse


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: 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: This Filter creates unwanted ghosting specially at night with some lights. Not worth the money. Better spend a bit more and get a real good filter.

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


assistant
Answer: E: very negative
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 hand exerciser works pretty well overall. It has 2 major weaknesses. First the thumb nub can dig into your palm if you have reasonably large hands.  Second is the strength.  I got the medium thinking that as I don't have particularly strong hands and was just getting started I would want to start on less than the firmest strength.  I found the medium tension to be pretty light I can do 50 compressions before even feeling slightly exercised.

After having used this I decided to try the pro version in the high tension.  In general I would suggest the pro version (which doesn't really cost much more) and I would suggest you get a tension level higher than you think you need.

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: the flight diary of love
Product list:
A: to My Granddaughter Leather Journal - - I'll Always BE with You- Gifts for Granddaughter 136 Page Travel Diary Journal Sketch Book Graduation Back to School Gift for Girls
B: Leather Journal, Leather Journal for Men, Leather Journal for Women, Leather Sketchbook, Leather Notebook, Leather Blank Book ( 7 x 5 Owl Emboss Journal)


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: womens work shirts factory
Product list:
A: Gildan Mens 6.1 oz. Ultra Cotton Sleeveless T-Shirt G270 -WHITE XL
B: Romwe Women's Short Sleeve Tie Front Knot Casual Loose Fit Tee T-Shirt Black XL
C: Columbia Women's Bahama Long Sleeve Shirt, Koi, Medium


assistant
Answer: C,B,A
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: little girl coloring books
Product: Disney Princess Coloring Book Super Set -- Bundle Includes 4 Disney Princess Books Filled with Over 400 Coloring Pages and Activities and Over 175 Stickers (Party Set)

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: 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: In theory, this should be the perfect slicer set up. In reality, the plastic end piece won't stay on, so I had to use duct tape to hold it together. It's tricky to get both ends of your knife in the guides, even with a long long knife (which I had to buy to fit this...).
But, now, after just a couple months one of the plastic guides already gave up, broke off & fled the scene.  At least it's plenty big & works for my 2 lb bread machine loaves, but it's pretty tricky to use. I would recommend it only because I can't find anything better out there yet. Good Luck my fellow slicers!

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: 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: hideabed mattress
Product list:
A: Night & Day Furniture Murphy Cube Cabinet Bed, Queen, Cherry
B: Classic Brands Cool Gel Memory Foam 8-Inch Mattress | CertiPUR-US Certified | Bed-in-a-Box, Twin XL
C: Home Sweet Home Dreams Hypoallergenic Down Alternative Bed Mattress Topper, 2" H, Twin


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: We bought this GPS unit for my brother for Christmas. My only experience with GPS units was as a science camp counselor last summer, but we were using much simpler units with the children. I chose this GPS because of the mapping features and the base map already loaded in the system. I looked through a lot of reviews of different systems and this seemed to be the best for what we wanted to use it for and the price we were willing to spend.

We have used the GPS a few times for fun around our yard and at some local county parks. Also, we tried it in the car when we drove to a family party. Thus far it has worked out very well. Once you get used to navigating through the pages, it is very easy to use.

For the price, this seemed to be the best buy for people like us who are just getting into the "game". Although we haven't used it for any serious excursions, it is really interesting to play around with the features as you hike and/or drive somewhere. My brother hopes to try out some geocaching near his university and also plans to play around with the GPS when he hikes in the Adirondack Mountains.

Although we don't know too much about other systems available, we are definitely pleased with the purchase.

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


assistant
Answer: B: positive
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: the inheritance of loss kiran desai
Product: The Battle of the Villa Fiorita: A Virago Modern Classic (Virago Modern Classics)


assistant
Answer: yes
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: Answer yes if the product is a substitute for the query and no otherwise.

Input:
Query: american girl doll kitchen
Product: Doll Playsets My Modern Kitchen 32 Full Deluxe Kit with Lights and Sounds, 21 x 13.8 x 4 -Inches


assistant
Answer: yes