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: 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: I've had these for a year now, and the sound quality is still great. I'm no audiophile, but I can say that the bass is strong (possibly stronger than that on the HD 280's, but maybe they're just not burned in completely yet). Nevertheless, I remember when I first got these that I was completely shocked by the sound quality. I had never heard anything better! (Back then when I listened to music, it was mostly through my computer speakers). Of course, you shouldn't compare these with a higher end model of headphones - these are like the entry level.

Some have said that these headphones didn't last them more than 6 months. I haven't had any problems with mine, though the ear caps have come off a few times because of a stuffed backpack. When they come off, you can just slide them right back in, and everything's good. They just become slightly loose.

The cord is also pretty long, but it comes with a thing that you can wrap the cord around. So far, everything seems pretty good but a few things:

-The headphones are a little tight and will probably make you feel hot within an hour. They can hurt if you're wearing them  for an hour, but then after the second hour, you probably won't notice it until you take them off.
-It's all plastic, and the cushiony part feels a bit cheap.

Still, they're great headphones to keep at one place, and the price doesn't hurt at all.

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


assistant
Answer: A: very 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: 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: teeth otto
Product list:
A: The Alligator and His Uncle Tooth: A Novel of the Sea
B: Hungry Plants (Step-into-Reading, Step 4)


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: 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: balance boards for adults
Product list:
A: Kids Balance Board,35" Wooden Balance Board, Natural Wood Kinderboard for Kids and Adults, Wooden Toys for Vestibular Stimulation,Balance Training and Yoga Exercise at Home & Classroom
B: Logest Wood Balance Board Trainer - Balancing Roller Board for Hockey, Snowboard, Surf, Balance Trainer for Stability and Fitness Workout Board Core Trainer


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: 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: amy's burrito
Product list:
A: Amy's Organic Chili with Vegetables Medium -- 14.7 oz
B: Amy's Gluten Free/Dairy Free Bean and Rice Burrito 5.5 oz, Pack of 12
C: Amy's, Chili Spicy Organic, 14.7 Ounce


assistant
Answer: B,A,C
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: soundproofing
Product: JARDEON Hexagon Acoustic Panels White Art Decor Sound Proof Padding Wall Tiles, Beveled Edge, 13'' X 14'' X 0.4'', 6 Pack

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: 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 used to have a 35hr hughes tivo but it just stopped working after a few months. [...].
It's menu system is faster (with the automatic upgrade), smoother, it has a better picture, and does pretty much everything tivo does.
I respect RCA much more than hughes because I actually still have an RCA TV from the 80s and it still works perfectly, so I expect this to last a while, hopefully.

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: 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: sego lily fake flowers
Product list:
A: AmyHomie Artificial Sunflower Bouquet,7 Flowers Per Bunch, 2 Bunches Per Pack,Fake Flower for Baby Shower Home Decoration Wedding Decor, Bride Holding Flowers,DIY Garden Craft Art Decor
B: Luyue Vintage Artificial Peony Silk Flowers Bouquet Home Wedding Decoration


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: 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: emotionary
Product list:
A: Emotionary: Say what you feel
B: The Emotionary: A Dictionary of Words That Don't Exist for Feelings That Do
C: Mrs. Botwin's Neighborhood


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: 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: teacher plaques with sayings personalized
Product list:
A: Toad and Lily Teacher Chalkboard Classroom withFlowers Quotation Saying Door Sign Teacher End of Year Gift TDS019
B: Primitives by Kathy 31127 Pinstriped Trimmed Box Sign, 8" x 3", A Good Day
C: Primitives by Kathy Classic Box Sign, Rule for Marriage


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: 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: # 10 self-seal envelopes without window
Product list:
A: 500 No. 10 Security Envelopes - Gummed Flap - Tamper Proof Design - Security Tinted with Printer Friendly Design - Number 10 Size 4 1/8 x 9 12 Inch - Pack of 500
B: BAZIC Security Self Seal Envelope 3 5/8" x 6 1/2" #6, No Window Tint Pattern Mailing Envelopes, Peel & Seal, Office Checks Invoices (55/Pack), 1-Pack


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: not a today heifer not my pasture not my problem
Product list:
A: Funny Kitchen Towel, I'm Into Fitness, Fitness Taco In My Mouth, Flour Sack Dish Towel, Sweet Housewarming Gift, White
B: ViralTee 3 PCs Stickers Not Today Heifer Not My Pasture Not My Bullshit 34 Inch Die-Cut Wall Decals for Laptop Window Car Bumper Helmet Water Bottle
C: Garden Flag Yard Flag Not Today Heifer Not My Pasture Not My Bullshit-2 for Home House Yard Lawn Holiday Decor Breeze Flag 12.5"x18"


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: 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: Hamilton Beach 727B Classic DrinkMaster Drink Mixer, White
Product 2: Hamilton Beach Eclectrics 65116 All-Metal Drink Mixer, Pineapple

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: 10w solar panel 12v without controller
Product list:
A: Topsolar 10 Watt 12 Volt Solar Panel Battery Charger, 10W 12V Portable Solar Trickle Battery Maintainer with Cigarette Lighter Plug & Alligator Clip for Car, Boat, Motorcycle, Tractor
B: Topsolar Solar Panel Kit 20W 12V Monocrystalline with 10A Solar Charge Controller + Extension Cable with Battery Clips O-Ring Terminal for RV Marine Boat Off Grid System
C: SUNAPEX 10W 12V Portable Solar Battery Charger & Maintainer - Solar Panel-Built - in Intelligent Charge Controller-Solar Powered Charger for Automobile Car RV, etc


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 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: h11 rgb led headlight bulb
Product list:
A: Torchbeam T2 9005/HB3 9006/HB4 LED Bulb Combo, 60W 16000 Lumens 6500K Super Bright Replacement Bulbs Kit, 400% Brightness, Canbus Ready, Plug and Play with Fan, Pack of 4
B: SEALIGHT 9005 H11 LED Bulbs 14000 Lumens, HB3 H8/H9 LED Light Combo Package with CSP Chips, 6000K Cool White, Pack of 4


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: exercise & fitness home gyms
Product list:
A: RELIFE REBUILD YOUR LIFE Power Tower Workout Dip Station for Home Gym Strength Training Fitness Equipment Newer Version
B: Large Exercise Mat 7'x5'x7mm innhom Workout Mat Gym Flooring for Home Gym Mats Exercise Mats for Home Workout Thick Floor Mat for Fitness Jump Rope Cardio Stretch Plyo Treadmill MMA


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: 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: Ann Clark Cookie Cutters Nail Polish Cookie Cutter
Product 2: Nail Polish Cookie Cutter

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


assistant
Answer: C
Task: Product_Relation_Prediction

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


user 
Instruction: Predict whether two products are similar, whether two products are likely to be purchased or viewed together based on their titles. Choose your answer from the provided options.

Input:
Product 1: NAUTICALMART 6&quot; Ship Wheel - Wood and Brass
Product 2: Nautical Pirate Wooden Ship Wheel Set of 5 W/brass Hub

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: 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: mens gym shorts 5 inch inseam
Product: OuBER Mens Workout Bodybuilding Shorts 3" Inseam (A-Blue,S)

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: 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: 8.5&quot; ELK RIDGE Bone Gentleman SPRING ASSISTED OPEN Hunting Folding POCKET KNIFE
Product 2: Pocket Knife Multi Wood 6.5'' Damascus Steel Knife Brass Bolster Back Lock Pocket Knives 100% Prime Quality+ Blue Wood Small Pocket Knife +Sharpening Rod Folding Knife.

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