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: 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: multi-max 3-1/4 in. oscillating tool rigid scraper blade
Product list:
A: Imperial Blades IBOATV-15 One Fit Storm Titanium Metal/Wood Variety Pack, 15PC Case, Multi
B: Grout Removal Tool, Caulking Removal Tool, Grout Cleaner, Scraper, Scrubber Brush, Tile Joint Cleaning Brush, Remove Grout or Cleaning for Tile Joints and Seams or Corner


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: Rebounder, Ultimate ReboundAIR Quarter Fold
Product 2: bellicon Premium 49&rdquo; Rebounder Trampoline with Fold-up Legs - Made in Germany - Best Bounce - 60 Day Online Workout Program Included

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_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: 50 Pair Shoe Rack Storage Organizer, 10 Tier Chorme  Shoe Rack With Sturdy Wheels
Product 2: SONGMICS 10 Tiers Shoe Rack 50 Pairs Non-woven Fabric Shoe Tower Storage Organizer Cabinet Grey ULSR10G

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_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: K&amp;F Concept 62'' DSLR Tripod, Lightweight and Compact Aluminum Camera Tripod with 360 Panorama Ball Head Quick Release Plate for Travel and Work (TM2324 Black)
Product 2: SanDisk Extreme PRO 32GB up to 95MB/s UHS-I/U3 SDHC Flash Memory Card - SDSDXPA-032G-X46

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: humphrey books 2
Product list:
A: Humphrey's Playful Puppy Problem (Humphrey's Tiny Tales)
B: Imagination According to Humphrey


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: 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: crio pocket knifes
Product: Large CQC 4KXL Pocketknife from Kershaw-Emerson (6055) Delivers Durability and Classic Strength with Instant Open, Frame Lock, Reversible Pocket Clip and Precision Technology; 6.1 oz

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: 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: foldable motorized scooter for adults
Product: Electric Scooter for Adults, iSinwheel i9 Electric Kick Scooter Max Speed 18.6MPH, 8.5'' Maintenance Free Tires, 17 Miles Long-Range, APP Control, Portable Adult Electric Scooter

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: 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: Burris 300235 Fastfire III No Mount 3 MOA Sight (Black)
Product 2: Sightmark SM26007 Mini Shot Pro Spec with Riser Mount, Green

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: 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: Best over the ear headphones at this price range. Back open style may not appeal to everyone but great for commute because you can still hear your surroundings. Very comfortable to wear and does not hurt my ears.
I listen to the Beatles and other sorts of Rock Music and these headphones play em well. Accurate detailed sound with a good mid range. Bass response is punchy but limited
Not recommended for Hip Hop or bass heavy Techno, I mean why would you anyways?

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: 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: It is a power cord. Not much to it - it seems just as sturdy as any other power cord I've ever had.

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: 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: john frieda 1.5 inch round dryer
Product list:
A: John Frieda Salon Shape 1.5 Inch Hot Air Brush
B: Aproca Hard Carry Travel Case Compatible with John Frieda Hot Air Brush
C: Hot Air Brush, Vlikeze Hair Dryer Brush One Step Hair Dryer & Volumizer 3-in-1 Negative Iron Hair Straightener Curler Brush Hair Styling Styler Comb Reduce Frizz and Static with 2pair Hair Clips 


assistant
Answer: A,C,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: BATMAN JOKER IM NOT A MONSTER CULT CLASSIC MOVIE FILM COMIC BOOK GIANT WALL POSTER ART PRINT B1062
Product 2: Trends International Joker Bats Collector's Edition Wall Poster 24&quot; x 36&quot;

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: 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: The only trouble I see is that the temperature of an image changes quite a bit when you rotate the polarizer. In general, it tends to make pictures quite a bit warmer (I would say you need around 500k correction and some fine tuning).

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

Input:
Query: large hardcover monthly weekly planner calendar
Product: 2020-2021 Planner - Academic Weekly & Monthly Planner, 8.5" x 11", Soft Cover with Pen Holder and Thick Paper, Back Pocket with Julian Date - Bonus 24

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: 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: lancer ralliart foclights
Product list:
A: HIKARI TOP XHP50.2 LED, 9005 LED Bulbs Conversion Kit, 10000lm, High Lumens 6000K Cool White, IP68 Waterproof, HB3 Halogen Bulbs Replacement, 9014 9045 Foglight
B: For Mitsubishi Lancer Fog Light Cover 2008-2015 Driver Side | Grille Bezel | Black | Textured Black | MI1038108 | 7450A223


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: liquid wound adhesive
Product: RiverBand Surgical Vet Skin Glue Tissue Wound Cut Closure Veterinary Adhesive 2mL Bottle w/ 12pc Tips Straws

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: At a hefty cost, this player can't be beaten.  The battery drain is heavy though...but other than that...a perfect piece.

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: white lux robe
Product list:
A: Richie House Women's Plush Soft Warm Fleece Bathrobe RH1591-F-M Black
B: Seven Apparel Hotel Spa Collection Herringbone Textured Plush Robe, Optic White


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: 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: ASP Government Carbine (Collapsed Stock) Red Gun Replica for Training and Practice with Martial Arts
Product 2: BlackHawk Demonstrator Gun For Glock 17 Orange

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