JackyChunKit/Qwen3_SFT_Post huggingface dataset:
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: 08 bmw x5 a/c air compressor without adaptive
Product list:
A: Nilight 50003R Automotive Set 5-Pin 30/40A 12V SPDT with Interlocking Relay Socket and Wiring Harness-5 Pack, 2 Years Warranty
B: RYC Remanufactured AC Compressor and A/C Clutch FG671 (Fits Nissan Maxima 3.5L 2009-2014; Murano 3.5L 2009-2014; Quest 3.5L 2011-2017; and Pathfinder 3.5L 2013-2016)


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: curvy jeans for women high waist
Product list:
A: Womens Maxi Dress Summer Sleeveless Backless Striped Print Ruffle Sling High Waist Loose Casual Sundress (XL, White)
B: RNUYKE Women's Cool Ultra Gathered Pants Gothic Rocker Distressed Punk Tie Leggings
C: Dresses for Women Plus Size V Neck Short Sleeve Flowy Swing Hem Casual Summer Dress (XXXXL, Black)
D: Soluo Women's Distressed Destroyed Stretch Pants Ripped Knee Skinny Slim Pencil Jeans High Waisted Jegging (Blue,Medium)


assistant
Answer: D,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: 10w solar panel 12v without controller
Product list:
A: 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
B: 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
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: friends bachelorette party shirts
Product: Bachelorette Party Bride The One Where I'm The Bride T-Shirt

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: 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: pices necklace for woman
Product list:
A: HOLY KT 12 Constellation Zodiac Pendant Necklace Astrology Gold Tone Chain with Gold Message Card for Women Jewelry
B: BriLove 925 Sterling Silver Necklace for Women -"Pisces" Galaxy Constellation Zodiac Horoscope Astrology 12 Crescent Moon Glass Bead Pendant Necklace


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: projector screen wall mount 110 inches
Product list:
A: WALI Universal Projector Screen L-Bracket, Wall Hanging Mount, 6 inch Adjustable Extension with Hook Manual, Spectrum and Perfect Screen Placement, up to 66 lbs (PSM001), White
B: ShowMaven 100in /120in Fixed Frame Projector Screen, Diagonal 16:9, Active 3D 4K Ultra HD Projector Screen for Home Theater or Office (120inch)


assistant
Answer: B,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: 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: Culprit C720-32 Original Worm, 7-1/2-Inch, Pm-Pack, nsd, 18-Pack
Product 2: Gamakatsu Offset Shank Round Bend Worm Hook

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


assistant
Answer: A
Task: Product_Relation_Prediction

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


user 
Instruction: 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: Andux 3pcs/Set Golf Hybrid Club Head Covers Interchangeable No. Tag Pack of 3
Product 2: Craftsman Golf 11pcs/Set Camouflage Black &amp; Gray Splice Neoprene Golf Club Head Cover Wedge Iron Protective Headcover for Mizuno Titleist, Callaway, Ping, Taylormade, Cobra, Etc.

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: 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: 4g basic phone with keyboard
Product list:
A: Unlocked Rugged Phone,Waterproof IP68,Lightweight,High Flashlight,GSM Quad Band (850/900/1800/1900Mhz) - Yellow
B: BLU Advance S5 HD  Unlocked Single Sim Smartphone, 16GB+1GB RAM -Black


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: 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: 5ml syringe slip tip 100 count
Product: 10ml Oral Syringes - 100 Pack  Luer Slip Tip, No Needle, Individually Blister Packed - Medicine Administration for Infants, Toddlers and Small Pets (No Cover)


assistant
Answer: yes
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: spearmint baby
Product list:
A: Burt's Bees Baby baby girls Pajamas, Zip Front Non-slip Footed Pjs, 100% Organic Cotton and Toddler Sleepers, Blossom Chevron Bee, 12 Months US
B: Baby Girl Nylon Headbands Newborn Infant Toddler Hairbands and Bows Child Hair Accessories


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: 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: This is not the first cookie press I've ever used, but I rarely use them so each time feels like the first time.
At first, I couldn't get this to work because the dough wouldn't stick to my pans or parchment paper. I used both, despite warnings and instructions, from various sources, not to (because I hate trying to wash baked-on cookies on cookie sheets that are too big for my sink -- water always gets everywhere!).
Then I tried them on the backside of one of the sheets, which was not coated with non-stick material. It worked! And it worked well. The press dispensed just the right amount of dough for a cookie "serving size". The shapes looked like what the disc would make them look like. They didn't always retain their shapes once baked, but that's more an issue with the dough than with the press.

Cleanup was simple because the whole thing comes apart. I handwashed everything by putting the pieces in the big bowl I used to mix up the dough, then a squirt of dishwashing soap, filled the bowl with very warm water, and sponge-washed each piece.

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


assistant
Answer: A: very positive
Task: Sentiment_Analysis

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


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

Input:
User Review: bought this a few months ago (less then a year) and yesterday I plugged it in and it did not turn back on, worked great but can't believe that this would actually last no moren then a year...

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: stranger things shirt women
Product: Womens Upside Down Cute Graphic Tees Vintage T Shirt Novelty Fun Shirt Summer Short Sleeve Tops Shirts Green

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_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: buzz lightyear toy
Product: Disney Pixar Toy Story Star Command Spaceship Playset


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: 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: Not bad for the price. I bought these because a friend was coming to visit in California and we were going to do some hiking around Big Sur. They especially came in handy when we saw 2 otters floating and wanted to see in better detail! They're small and compact, just enough to help you see things in a slightly better detail than what you can see with bare eyes.

I always mean to keep these in my car because I always wish I had them on me for random things!

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


assistant
Answer: B: positive
Task: Multiclass_Product_Classification

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


user 
Instruction: What is the relevance between the query and the product title below? Answer from one of the options.

Input:
Query: gifts for boys age 6
Product: adidas Boys' Big Active Sports Athletic Tricot Jogger Pant, Iconic Black, M 10/12

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: 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: stencil art black and white easy
Product list:
A: Castle Art Supplies 26 Piece Drawing and Sketching Pencil Art Set: Perfect for Beginners, Kids or Any Aspiring Artist - Includes Graphite Pencils and Sticks, Charcoal Pencils, Erasers and Sharpeners
B: 5 Pieces African Girl Wooden Craft Wreath Template Mother and Child Wreath DIY Template African Girl Image Wooden Template Head Silhouette Template, 6 Pieces Round Flat Paintbrushes for Mom Present
C: 20 Pieces Geometric Honeycomb Stencils Painting Art Templates Stencils for Scrapbooking Drawing Tracing DIY Furniture Wall Floor Decor, 7.87 x 7.87 Inches


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: bag of holding
Product list:
A: Bag of Holding
B: Bag of Holding - Tabletop Game RPG Nerd Geek Chic Canvas Reusable Grocery Tote Bag - Natural


assistant
Answer: B,A