JackyChunKit/Qwen3_SFT_Post huggingface dataset:
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: I must walk .75 miles to the train every day to get to work so I thought it would be better to scoot there. This has cut my walk time by about 60%! It's also a great alternative to a bicycle because you can just fold it up and bring it on the train with you! It only weighs 5 lbs and is about 4"x16" when folded, so its no burden to carry. I am 5'2" and it's the perfect size for me to both ride and carry. The only complaint I have is that it wore out so quickly! I only ride on smooth sidewalks and still the wheels are all chopped up and the steering wheel is constantly going crooked. If you're thinking of getting this as a daily transportation tool, know that its life will only be about 3 months.

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: 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: king size black softest comforter
Product list:
A: Bare Home Comforter Set - King/California King - Goose Down Alternative - Ultra-Soft - Premium 1800 Series - All Season Warmth (King/Cal King, Black)
B: Luxurious All-Season Goose Down Comforter King Size Down Fiber Duvet Insert, Exquisite Pinch Pleat Design, Premium Baffle Box, 100% Egyptian Cotton Cover, 65 oz. Fill Weight, White


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: Its just what it says it is a bottle of DMSO, no surprises here. Good quality and a reasonable price.

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: 40v worx battery
Product list:
A: WORX WA3525 20V PowerShare 2.0 Ah Replacement Battery
B: WORX 40v MAX Lithium Ion Battery Charger for WA3580 Battery


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: water knock
Product list:
A: Danco HammerStop Technology Dishwasher Connector Hose, Grey, 10743X
B: The Mass Wide Mouth Straw Lid Compatibility Most Sports Water Bottle (Black & Kids Lemon)
C: Iron Flask Sports Water Bottle - 40 Oz, 3 Lids (Straw Lid), Leak Proof, Vacuum Insulated Stainless Steel, Double Walled, Thermo Mug, Metal Canteen


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

Input:
Query: pirates of the carribean curse of the black pearl
Product: Pirates of the Caribbean: Dead Men Tell No Tales (Theatrical Version)

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: 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: RAM Instrument Stun Gun Taser Pepper Spray Alternative The ARMA - 100
Product 2: VooDoo Tactical Sniper Bean Bag

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: 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: one piece swimsuits for women tummy control
Product list:
A: CUPSHE Women's Simple Living Stripe One-Piece Swimsuit Bathing Suit (Small (USA 4/6), Black White)
B: COCOSHIP Black & White Striped Vintage Sailor Pin Up Swimsuit One Piece Skirtini Cover Up Beachwear XL(US12)


assistant
Answer: B,A
Task: Sentiment_Analysis

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


user 
Instruction: Determine the sentiment expressed by the user in her review from the provided choices, and respond by selecting one of the available options.

Input:
User Review: This product is far more limited with regard to use than first thought!  When I received mine, it had missing parts making it useless.  The construction is not as sturdy and solid as many others like it, but the biggest strike against it is the lack of versatility in cooking.

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


assistant
Answer: E: very negative
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: Classic Motorcycle Glass Salt and Pepper Shaker Set with Decorative Retro Road Hog Display Holder As Biker Bar and Kitchen Table Decorations for Vintage Chopper &amp; Bike Riders or Gifts for Bikers
Product 2: Decorative Red Motorcycle with Glass Salt and Pepper Shaker Set in Saddle Bags for Classic Bike Models &amp; Vintage Chopper Figurines As Biker Bar or Kitchen Table D&eacute;cor Gifts for Harley Riders

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: I want to buy a powerful laptop to put linux on, so maybe a lenovo or dell with a clear screen and lightweight.
Product list:
A: Lenovo Chromebook C330 2-in-1 Convertible Laptop, 11.6-Inch HD (1366 x 768) IPS Display, MediaTek MT8173C Processor, 4GB LPDDR3, 64 GB eMMC, Chrome OS, 81HY0000US, Blizzard White
B: When This Virus is Over Graphic Novelty Sarcastic Funny T Shirt L Black
C: Lenovo Chromebook S330 Laptop, 14-Inch FHD (1920 x 1080) Display, MediaTek MT8173C Processor, 4GB LPDDR3, 64GB eMMC, Chrome OS, 81JW0000US, Business Black


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: 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: burt bees puppy shampoo and conditioner
Product list:
A: Burt's Bees for Dogs Natural Oatmeal Shampoo with Colloidal Oat Flour and Honey| Oatmeal Dog Shampoo, 4 Ounce Dog Shampoo to Soothe and Cleanse Dogs Skin and Coats
B: Burt's Bees for Dogs Oatmeal Dog Shampoo and Conditioner with Colloidal Oat Flour and Honey - Burts Bees Pet Shampoo and Conditioner for Dogs, Dog Oatmeal Shampoo, Dog Oatmeal Conditioner
C: Burt's Bees for Dogs Natural Detangling Spray With Lemon and Linseed | Dog and Puppy Fur Detangler Spray to Comb Through Knots, Mats, and Tangles- Made in the USA, 10 Ounces


assistant
Answer: A,B,C
Task: Query_Product_Rank

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


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

Input:
Query: living coral notebook
Product list:
A: 15.6 Inch Laptop Bag for Women,Large Computer Bags for Women,Multi Pocket Work Bag,Laptop Tote Bag with Professional Padded Compartment,Living Coral
B: MOSISO Compatible with MacBook Air 13 inch Case 2021 2020 2019 2018 Release A2337 M1 A2179 A1932 Retina Display with Touch ID, Protective Plastic Hard Shell Case&Keyboard Cover Skin, Living Coral


assistant
Answer: 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: 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: therabands resistance bands set
Product: SKL Resistance Bands Set Exercise Band Non Slip Fabric Workout Bands for Strength Training, Physical Therapy, Yoga, Pilates, Rehab, Stretching() Yellow,Green,Blue,Purple

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: removable cream vinyl
Product list:
A: Cricut Joy Smart Vinyl - Removable - 5.5" x 48", Adhesive Decal Roll - Cream
B: Cricut Premium Vinyl - Permanent, 12 x 48 Adhesive Decal Roll - Pearl Pastel Ivory


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: 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: craftsman router table
Product: Ryobi Universal Router Table-A25RT03


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: Otto tries to make a parallel with the Japanese pillowbooks (a Japanese courtisan's version of a journal with random thoughts scrawled in bed) with this particular book.
Though the metaphor works to an extent, it is difficult to follow as a novel, with a huge cast of characters and leaves the reader wanting something more -- specifically more of plot development instead of momentary snaphsots.
All the snapshots involve love affairs or some particular hookup for that particular chapter. Now, I'm sure a lot more happened in the 80's than the latest drama of your friend by three degrees. So, the reader, unless he or she's looking for a romance book is left slightly nauseated.
But, I have to say the book is very pretty. Nice typography, layout and even a nice colophon at the end. (for what it's worth, right?)

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 assess the level of relevance between them, and then output the corresponding option that best describes this relevance.

Input:
Query: magic labyrinth game
Product: Ravensburger Labyrinth Family Board Game for Kids and Adults Age 7 and Up - Millions Sold, Easy to Learn and Play with Great Replay Value (26448)

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.