JackyChunKit/Qwen3_SFT_Post huggingface dataset:
Task: Sentiment_Analysis

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


user 
Instruction: 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 cable does a fine job connecting my older printer to the family computer, and best of all it was about 1/3 the rice of local shops.

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: I intended to buy larger ball but eventually end up with this one. I have neck problem and smaller ball is better for exercise. I did some exercise following the instructions. It did relieve my neck pain. I should buy a ball earlier.
My baby pushes it around in his walker. It is a lot of fun. Sometimes I put him on top and bounce the ball. Worth buying it.

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: 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: disinfecting wipes antibacterial
Product list:
A: Personal Care Wipes For Hands, Alcohol-free Hand Wipes For Effective Cleaning And Skin Moisturizing Vitamin E, Waterfall Scent (12 Packs Of 40, 480 Total)
B: Sanitex Antibacterial Hand Wipes, Fresh Scent, Pack with 20 Wipes (3)
C: Glissen Chemical - 300048 Nu-Foamicide EPA Registered 1-Gal All Purpose Cleaner Concentrate, Industrial Commercial Grade (Packaging may vary)


assistant
Answer: A,B,C
Task: Query_Product_Rank

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


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

Input:
Query: long sleeve t shirt us army women
Product list:
A: Joe's USA - Military T-Shirts - Gold Army Long Sleeve T-Shirts-M
B: Patriotic Long Sleeve T-Shirts, 100% Cotton Casual Mens Shirts, Show Your Pride with Our Home of The Free Because of The Brave Long Sleeve Shirts for Men or Women (Large) Black
C: adidas Originals Women's Trefoil Hooded Sweatshirt, vapour green, XX-Small


assistant
Answer: A,B,C
Task: Query_Product_Rank

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


user 
Instruction: Given a query and a list of products denoted as A, B, C, ... with their titles, rank the products according to their relevance to the query. Output only a ranked list in which the most relevant product is at the top of the list.

Input:
Query: lighted makeup mirror 10x magnification
Product list:
A: Caseling Portable Hard Carrying Travel Storage Case for External USB, DVD, CD, Blu-ray Rewriter / Writer and Optical Drives - Black
B: KOOLORBS Makeup Mirror with Lights, 1x 2X 3X Magnification, Lighted Makeup Mirror, Touch Screen Switch, Vanity Mirror with Lights, Dual Power Supply, Portable Trifold Makeup Mirror, Female Gift


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: nail polish trolley
Product list:
A: OUDMAY Makeup Rolling Train Case 4-in-1 Professional Artist Trolley Cosmetic Organizer with 2 Wheels Durable Aluminum Frame Folding Trays and Locks Silver
B: LONDONTOWN Lakur Trolley Away Nail Polish, 0.4 fl. oz.
C: Rolling Makeup Case, Qivange Professional Trolley Train Case Large PU Leather Lockable Nail Polish Holder for Artists Nail Techs Travel Jewelry Cosmetic Train Case w/ 4 Wheels, Rose Red


assistant
Answer: C,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: 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: My husband bought these for his job. They have clear sound and a good cord length.

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: 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: cowboy action figure
Product list:
A: Liberty Imports Wild West Cowboys and Native American Indians Plastic Figure Soldiers Toys Bucket Playset (55 Pieces)
B: Disney and Pixar's Toy Story 4 Woody and Buzz Lightyear 2-Character Pack, Movie-inspired Relative-Scale for Storytelling Play [Amazon Exclusive]


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: 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: Handmade Copper Hindu Puja Thali with Om Symbol and Gayatri Mantra - Decoration - Mandir Temple Accessory - Spiritual Gifts - Indian D&Atilde;x192;&Acirc;cor by ShalinIndia
Product 2: Hem Lord Shiva Incense (Box of 6 Tubes)

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: 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: Dyson Cap, Wand Silver Dc24
Product 2: Genuine Dyson DC16, 24, 31, 34, 35, 44, 56, 58, 59 Combination Tool #914361-01

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 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: 1 large white silk gardenia without stem
Product list:
A: JUSTOYOU 10 PCS Artificial Roses Flowers, Realistic Blossom Roses, Real Touch Silk Rose, Single Fake Flower Long Stem Bouquets for Home Wedding Party Decoration (10Pcs, White)
B: Artificial Flower Garland 3 Pack Fake Rose Vine Hanging Silk Artificial Flowers for Home Wedding Party Arch Arrangement Decoration(Champagne)
C: GTidea 4pcs Artificial Wisteria Bundle Fake Flowers Silk Floral Bouquet Arrangements Home Garden Fences Restrant Hotel Parties Wedding Simulation Decor in White


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: apple watch without band
Product list:
A: Wristcam, Apple MFi-Certified Modular Camera Smartband for Apple Watch, 42/44/45 mm, Black, 8MP+2MP Cameras, 4K Photo, 1080p Video, 8GB Storage, WiFi, Bluetooth 5, IP68 Water Resistant
B: (Renewed) Apple Watch Series 5 (GPS + Cellular, 44MM) - Space Gray Aluminum Case with Black Sport Band


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, then choose the option that best describes the relation between the two products.

Input:
Product 1: Kenuco 3 ft. BNC Male/Male Connector RG59 Coaxial Cable | CCTV/SDI Cable | Pack of 10
Product 2: SIENOC BNC (5 packs)

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


assistant
Answer: A
Task: Multiclass_Product_Classification

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


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

Input:
Query: plasticdishes for corn on the cob
Product: 4 Pieces Butter Spreader with Built-In Cover Dishwasher Safe Corn Cob Butterer Plastic Butter Dispenser on Pancakes, Waffles, Bagels, and Toast

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: 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: cute fall sweaters
Product list:
A: BTFBM Women Casual Long Sleeve Turtleneck Sweaters Oblique Quarter Zip Up Solid Color Cute Knit Ribbed Fall Winter Pullover(Solid White, Large)
B: Hanes Women's EcoSmart Full-Zip Hoodie Sweatshirt, Ebony, Large
C: Astylish Womens Fashion Winter Fall Thick Cozy Open Front Long Sleeve Chunky Knitting Ribbed Cardigan Sweater Small Size 4 6 Olive Brown


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: ceramic plant pots without drainage holes
Product list:
A: Flower Pots Indoor Outdoor - Garden Planters, Decorative Planters Pots, Round Wood Texture, White (7.5 + 9.8 Inch)
B: FEIAA Plant Pots Indoor Planter 6 inch Ceramic Flower Orchid Pot with Drainage Holes and Tray Modern Blue Gold for Home Decoration Outdoor
C: HOMENOTE Pots for Plants, 8 Pcs 6 inch Plastic Planters with Multiple Drainage Holes and Tray - Plant Pots for All Home Garden Flowers Succulents, Cream White
D: Smart Gravel 2-day shipping | Eco-Friendly Plant Drainage for Healthy Roots | Pots & Raised Garden Beds | Yard and Pot Decoration | Lightweight & Clean (1-Gal Regular Size)


assistant
Answer: A,C,D,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: This is a good value, works well for both time-lapse photography and low light conditions. I've read about the battery running low because it does not have an off switch but when I'm finished with it I just turn the battery upside down and it shuts off. Works well.

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: 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: Ateco 880 Nickel Plated Steel St. Honore Cake Decorating Tube
Product 2: Wilton Master Decorating Tip Set, 55-Piece decorating tips, Cake Decorating Supplies

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


assistant
Answer: B
Task: Query_Product_Rank

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


user 
Instruction: 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: sweater storage bags with zipper
Product list:
A: Clear Vinyl Zippered Storage Bags 9 x 11 x 2 Inch with Display Pocket 10-Pack
B: Clear Vinyl Zippered Storage Bags 12 x 15 x 4 Inch 10-Pack


assistant
Answer: B,A