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: 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: chicken coop without run
Product list:
A: Farm Party - Herbal Hootenanny Nesting Herbs for Chickens (8 Ounces) Keeps Chicken Nesting Boxes Fresh. Natural Nesting Box Blend for the Chicken Coop
B: 28 LEDs Solar Lights Outdoor, Luposwiten Solar Motion Sensor Lights Wireless Security Lights, 400 Lumen Waterproof Solar Powered Lights for Steps Yard Garage Porch Patio(4-Pack)
C: Friday discount 62" Wooden Hen House Chicken Coop Backyard Farm Poultry Cage Bunny Hutch with Large Outdoor Run, Ventilation Door


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: 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: fellowship of the ring book
Product list:
A: The Fellowship of the Ring: Book One in The Lord of the Rings Trilogy
B: The Hobbit & The Lord of the Rings Gift Set: A Middle-earth Treasury
C: THE LORD OF THE RINGS: Book (1) One: The Fellowship of the Ring; Book (2) Two: The Two Towers; Book (3) Three: The Return of the King - Collector's Edition


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: 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: oval mirror 24 inches
Product list:
A: Hamilton Hills Contemporary Brushed Metal Wall Mirror | Oval Silver Framed Rounded Deep Set Design | Mirrored Hangs Horizontal or Vertical (24" x 36")
B: Moen DN2692CH Glenshire 26 x 22-Inch Frameless Pivoting Bathroom Tilting Mirror, Chrome


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: 1 X Teenage Mutant Ninja Turtles TMNT Sandwich Crust Cutter Decruster for School Lunch
Product 2: Wilton Cookie Cutters Set, Alphabet, Numbers and Holiday Cookie Cutters

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: 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: the prince of tides book
Product: The Lords of Discipline: A Novel


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: 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: blue bandana clothing
Product list:
A: Design by Olivia Women's Sexy Paisley/Tie Dye Bandana Tube Crop Top Shirt- Made in USA Royal Blue M
B: LKXHarleya Bandanas Headband - Quick Dry, UV Protection, Windproof Multifunctional Balaclava Face Mask Seamless Neck Gaiter Scarf Paisley Print Head Wraps(Blue)


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

Input:
Query: tea cup infuser set
Product: JIANGJING 3-piece glass tea cup set, bamboo lid, glass tea drainer, glass mug 480ml suitable for tea, coffee, fruit tea

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: 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 product is great. It's thin enough for a coax cable or an ethernet cable with room for a thinner ac wire. I used it to hide ethernet cables for my cameras. Once painted, they should blend in failr well. much better than using those nail in wall cable anchors. I do with it came with bit more corner pieces, but that was for my purposes...

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: Material kind of thin, no grip for fingers or palm

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


assistant
Answer: C: neutral
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: Enesco Department 56 Heart of Christmas &ldquo;Shepherd Mouse with Lamb&rdquo; Stone Resin Figurine, 1.97&rdquo;
Product 2: Enesco Heart of Christmas Mouse with Seeds Garland Figurine 1.97 in

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: 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: how to buy books on audible
Product list:
A: Where the Crawdads Sing
B: Girl, Stop Apologizing (Audible Exclusive Edition): A Shame-Free Plan for Embracing and Achieving Your Goals


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: Given the user's review, identify the user's sentiment from the listed options. Answer using one of the options.

Input:
User Review: Based partly on the reviews on this site, we just bought this unit at Circuit City (wanted to buy at a store rather than website for various reasons.)  VERY happy we did, since Circuit City just put this item for sale for less than one hundred dollars, and it included a free dual LNB Dish!  We can't wait for our installer to come and enable our entry to the DirecTV/TiVo world of TV viewing.  We have a 2 1/2 year old and a 10 month old, and could really use TV at our convenience.  I will update this review in a few months after we've used it awhile.

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


assistant
Answer: B: positive
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: Trendmart&reg; Outdoor/indoor Fake Dummy Security Camera Red Blinking Light Led(silver)
Product 2: UniquExceptional UDC4silver Fake Security Camera with 30 Illuminating LEDs (Silver)

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: 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: shabby chic heart quilt
Product list:
A: VClife Flowers Bedding Duvet Cover Sets Twin Pink White Botanical Branches Printed Comforter Cover Sets Vintage Garden Style Duvet Cover Sets for Kids Teens Adults, Ultra Soft with Zipper Closure
B: Cozyholy Original Patchwork Quilts Coverlets Quilted Blanket 100% Cotton Reversible Vintage Floral Bed Cover Quilt Throw for Sofa Couch Twin Size


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: 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: red bows for crafts
Product list:
A: VIVIQUEN Gingham Craft Ribbon Bows Mini Checkered Ribbon Flowers Appliques for Sewing, Gift, DIY Craft, Wedding Decoration Ornament (RED AND WHITE, Small Size 48PCS)
B: Offray Double Face Satin Craft Ribbon, 1/8-Inch x 24-Feet, Red


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

Input:
User Review: I am a senior with slightly failing eyesight.  I use this product for reading small print, giving myself a manicure, and many other tasks.  I do not need it lighted and have never installed batteries, so I cannot comment on how well that function works.  It stands sturdily, has a flexible arm, is light-weight, and has come in handy often.  The magnifier itself is a nice size for most uses.  I would recommend it to anyone needing hands-free magnification.

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: 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: These speakers sound great but they break down too easily. I do not have much luck with these.  Buyers be aware to keep the receipt for exhange or work with stores that allow exchange.
These speakers sound comparable with Altec Lansing 621 and slightly better than Monsoon 1000.

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


assistant
Answer: D: 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: 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: grand theft auto 6 ps4 game
Product list:
A: Grand Theft Auto V (PS4)
B: PlayStation 4 Slim 1TB Console
C: PlayStation 4 Slim 1TB Console Grand Theft Auto V Bundle ( 2 - Items )


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: 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: corduroy skirt
Product list:
A: Angelegant Corduroy Skirt Women's High Waisted Fringed Slim Fit Elastic Bodycon Short Mini Skirt (L, Pink)
B: Dickies Women's Bib Overall 100% Cotton Denim with ScuffGard, Rinsed Hickory Stripe, Medium
C: Allegra K Women's Faux Suede Button Closure High Waisted Halloween Flared Mini Short Skirt Large Black


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: 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: electric fryer without oil
Product list:
A: Elite Gourmet EAF-0201BG Personal 2.1 Qt. Compact Space Saving Electric Hot Air Fryer Oil-Less Healthy Cooker, Timer & Temperature Controls, PFOA/PTFE Free, 1000W, Quart, Blue Gray
B: LEPO Fryer Frying Pot, Japanese Tempura Fryer with Thermometer, Lid And Oil Drainer, Non-stick Stainless Steel Deep Fryer for Kitchen French Fries, Fish and Shrimp
C: KRUPS KJ502D51 Deep Fryer, Electric Deep Fryer, Stainless Steel Triple Basket Fryer, 4.5 Liter, Silver


assistant
Answer: A,C,B