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: Evaluate the relevance between the query and product title, and choose the most accurate option from the given options.

Input:
Query: slytherin tie
Product: Child Harry Potter Vintage Hogwarts Slytherin Robe Standard

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: C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
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: dog beds without stuffing
Product list:
A: Amazon Basics Cooling Elevated Pet Bed, Medium (43 x 26 x 7.5 Inches), Green
B: Dogbed4less Jumbo Orthopedic Extreme Comfort Memory Foam Dog Bed for Large Dog, Waterproof Lining and Machine Washable Denim Cover, 55X47 Pillow, Blue


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

Input:
Product 1: DirecTv 18-Inch Satellite Dish
Product 2: KaKu LNB 5 for Slimline Dish Directv Brand

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: 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: canon memory card
Product list:
A: Which Memory Card do you Need for your Camera ?
B: SanDisk Ultra 16GB Compact Flash Memory Card Speed Up To 50MB/s, Frustration-Free Packaging- SDCFHS-016G-AFFP (Label May Change)
C: SanDisk 32GB Extreme PRO CompactFlash Memory Card UDMA 7 Speed Up To 160MB/s - SDCFXPS-032G-X46


assistant
Answer: B,C,A
Task: Product_Substitute_Identification

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


user 
Instruction: 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: #8 tags without string
Product: 100 Pcs Square Gift Tags with String,Blank White Paper Tags with 100 Feet Jute Twine for Wedding Favor,Christmas


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: The pressure cooker gasket seal works just fine. This pressure cooker is quite old and I never thought that I could find a new gasket, but I did - at Amazon. They have everything! I have an even older cooker that I am going to see if I can find a seal for it at Amazon. Amazon is the greatest!!!

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: 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 had to return this product because it did not work for me. However, I'm not criticizing its performance for I was not sure if the problem arose out of compatibility issues with my PC.

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: 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: breathing underwater by richard rohr
Product list:
A: The Universal Christ: How a Forgotten Reality Can Change Everything We See, Hope For and Believe
B: Breathing Under Water


assistant
Answer: A,B
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: stihl 36 ripping chain
Product: OJENAS Big Strong-Powered 070 Chain Saw With 36" 404.063 52DL Chain ONLY New Blue color For Big- Trees power sawmill

Options:
A: The product is relevant to the query, and satisfies all the query specifications.
B: The product is somewhat relevant. It fails to fulfill some aspects of the query but the product can be used as a functional substitute.
C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
D: The product is irrelevant to the query.


assistant
Answer: D: The product is irrelevant to the query.
Task: 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: hue lights tv backlight sync
Product: Sengled Smart Light Bars, RGBW TV Ambient Lighting Works with Alexa Google Home, LED Bar Lights that Sync with Music, 27 Preset Scenes, Wi-Fi TV Backlights with Multi-Mode Support for Movies, Games

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: Good products but if you live in a State other than Hawaii check for them locally or make sure and check shipping as you can probably get them for a lot less. Shipping to HI was terrible but it often is as unfortunately so many shops will not work to offer dfferent means of shipping. No one here carried like products so I had to buy online. I would try shopping at "home" first.

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: 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: !awnmower tires without rims
Product list:
A: Oregon 72-107 Universal Wheel 7X150 Diamond Plastic
B: Dr.Roc Tire Spoon Lever Dirt Bike Lawn Mower Motorcycle Tire Changing Tools with Durable Bag 3 Tire Irons 2 Rim Protectors 1 Valve Stems Set TR412 TR413
C: 2PK 13x5.00-6 13x5.00x6 13x5x6 13x5-6 2PLY Turf Mower Tractor Tire with Gray Rim
D: Craftsman 532403111 Mower Front Drive Wheels (Pack of 2)


assistant
Answer: A,C,B,D
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: cow boy is not a cowboy
Product list:
A: Cowboys Ain't Supposed To Cry
B: Cowboys Ain't Supposed To Cry
C: All the Cowboys Ain't Gone: A Novel


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: k2 without d3
Product list:
A: Vital Nutrients - K2-7 + D3 Vitamin - Bone and Blood clotting Support - 60 Capsules per Bottle
B: Vitamin D3 + K2 with Organic Virgin Coconut Oil | Plant-Based Vegan D3 (5000iu) with MK7 Vitamin K2 (100mcg) from Chickpea | Non-GMO & Vegan Certified (60 Veggie Softgels)
C: (2 Pack) Organic Vitamin D3 K2 Drops w MCT Oil Omega 3, 5000 IU, Maximum Strength Vitamin D Liquid 5000 IU, No Fillers, Non-GMO Liquid D3 for Faster Absorption & Immune Support, Unflavored, 2 Fl Oz


assistant
Answer: A,C,B
Task: Query_Product_Rank

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


user 
Instruction: Analyze the query and each product title. Sort the products in descending order based on their relevance to the query. The most relevant product should be at the top of the list, and output the ranked list.

Input:
Query: 1 nation design t shirts we are not descended
Product list:
A: You Know The Little Thing Cool Graphic Sarcastic Sarcasm Novelty Funny T Shirt XL Black
B: Heathen Men's Chief T-Shirt (Large) Black
C: Cybertela Men's Only God Can Judge Me Tattoo Necklace T-Shirt (Black, Medium)
D: Never Forget Graphic Novelty Sarcastic Funny T Shirt L Charcoal


assistant
Answer: A,D,C,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: The IBM ThinkPad 600 is the wife's machine (330MHz, 128meg RAM).  It must go on a network if we are to go broadband.

Purchased this because it was advertised to work with "WIN98" and supposed to work on a 220MHz CPU with 64meg of RAM.

First problem.  It is WIN98SE that it is supposed to work on.  It doesn't work on pre-SE.  With pre-se the device showed a yellow ! that can't be fixed.

So upgraded machine to WIN98SE.  Driver loaded and everything looked fine.

The monitoring program said adapter was active.  Great.

Well not so great.  WIN98SE won't start up with the adapter attached without generating a "WINDOWS PROTECTION ERROR: you need to restart your machine."  It also scrambled the LCD display so that the computer didn't know what kind of display device we had when starting up in the SAFE mode.

If the device was left unplugged the machine starts up normally.  One can then plug in the adapter and it works.  That is useless!

Several phone calls to LinkSys were made.  First suggestion: Plug the device in after startup. The got the message that that was not a solution.  Second suggestion try on another machine.

I have another WIN98SE machine with .5GB memory and 2GHz Celeron.  The adapter worked normally on it.  No problems

So the problem is either one peculiar to the IBM ThinkPad 600 or it is under RAMed and/or under CPU'd for the task. Who really knows what goes on at boot up.

The last suggestion from LinkSys was to go to their website and download about 500Meg of an older driver/program and try that.  Guys, we have dialup.  No way!  They did confirm I was using the latest and recommended driver for V4 hardware.

This plus an announcement on the phone line about updating the router driver for the router I just ordered from LinkSys has soured me.

Want all computers here to use same adapters.  So this one is out of the running.  LinkSys did make a good faith effort to solve this one.  They were easy to reach and took a lot of time to try and solve this.  Unfortunately, only the god's know what is happening....

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


assistant
Answer: D: 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: 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: RFID Door Access Control System Kit, AGPtEK Home Security System With 280kg 620LB Electric Magnetic lock 110-240V AC to 12v DC 3A 36w Power Supply Proximity Door Entry keypad 10 Key Fobs EXIT Button
Product 2: UHPPOTE Full Complete Waterproof Outdoor Use 125KHz RFID EM ID Card Single-door Stand-alone Access Control Kit

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: 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: okc thunder outfit for toddlers
Product list:
A: Infant Optics Official Power Cord Adapter for DXR-8 Camera Unit (Not Compatible with Monitor Unit. 2019 Original Infant Optics Accessory), White
B: NBA by Outerstuff NBA Toddler Golden State Warriors On The Line Jacket & Pants Fleece Set, Blue, 2T


assistant
Answer: B,A