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: 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: tablet hdmi cable to tv
Product list:
A: CBUS 5ft HDMI to Mini HDMI Cable for Nikon D3500, D7500, D850, D500, Canon EOS R, EOS RP, EOS 5D Mark IV, EOS 6D Mark II, 77D, 80D, Rebel SL3, SL2, T7, T7i, T6, VIXIA HF G50, HF G40, HF G21, XF405
B: Rumfo MHL Micro USB to HDMI Adapter Cable 1080P HDTV for Samsung S2/ Nitro HD, Only for Specific Device Models (5 Pin)
C: Cable Matters High Speed HDMI to Micro HDMI Cable 10 ft (Micro HDMI to HDMI) 4K Resolution Ready


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: 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 got one of these, oh, it must be 5 or 6 years ago. This works better than shorter versions for looser sand found closer to the dunes on North Carolina's outer banks (the shorter ones work just fine most places). I've used it 4 or 5 days a year on average. Two of the three fins broke last week. It still works with one fin but I don't expect that fin to last too much longer :-) I bought this for $4 at a beach shop in October and am hoping to get a similar deal this year. Actually, I was hoping for a similar deal online but haven't come across one yet...

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: 3-Piece Hanging Mason Jar Lanterns with Tealight Faith Hope Love by Divinity Boutique
Product 2: Decorative Glass Votive Holders - FAITH HOPE LOVE Frosted Glass Candle Holders - Silver Glitter Hearts &amp; Crystals - Set of 3 Assorted - Three Flameless Flickering LED Candles 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: 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: $10 candles
Product list:
A: Double Digits Cake Topper, 10th Birthday Cake Topper, Double Digits Tenth Birthday Party Cake Supplies Decorations
B: amscan - 170407 Amscan Birthday Celebration, Numeral #1 Glitter Candle, Party Supplies, Black, 3 1/4" -


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: 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: large christmas ornaments
Product list:
A: Kingrol 32 Pack 3.15 Inch Clear Plastic Fillable Ornament Balls, for DIY Craft Projects, Christmas, Wedding, Party, Home Decor
B: HOHIYA Crystal Ornaments Christmas Tree Decoration Dangle Drop Chandelier Prisms Clear 30pcs


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: Professional Box Grater, Stainless Steel with 4 Sides, Best for Parmesan Cheese, Vegetables, Ginger, XL Size
Product 2: Spring Chef Stainless Steel Box Grater (Large)

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: relaxation kit with candle
Product list:
A: Handmade Spa Bath Gift Set - USA Made 3 Relaxing All-in-One Kit, Bath Bomb, Soy Candle, Facial Sponge. Natural Shea & Cocoa Butter Dry Skin. Gift Idea for Her Women Wife Birthdays Mom Mother in Laws
B: Namaste Table Top Zen Garden Plus Buddha, White Sand, Rocks, Candle and Rake, 5 1/2 Inches Tall, Mixed Materials, Gift Set


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: roblox sweatshirt for girls
Product list:
A: NEWCOSPLAY Unisex Kids Hooded Realistic 3D Galaxy Digital Print Sweatshirt Baseball Jersey for Boys Girls (010, s)
B: Junior Girls Boys Hoodiet Cool 3D Sweatshirt Long Sleeve Pullover Hoodie Jackets Outfit with Big Pockest 12-13 Years
C: Nickelodeon Blaze and the Monster Machines Little Boys Fleece Pullover Hoodie Red 6


assistant
Answer: A,B,C
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: LHN&reg; 16GB Sitting Cat USB 2.0 Flash Drive (Purple)
Product 2: LHN&reg; 32GB Sitting Cat USB 2.0 Flash Drive (Purple)

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: 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: air pod case for your phone case
Product: Apple Wireless Charging Case for AirPods

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: bathroom fan without light
Product list:
A: Panasonic FV-0511VKL2 WhisperGreen Select Ventilation Fan with Light, 50-80-110 CFM
B: Broan-NuTone AE110LK Flex Bathroom Exhaust Bath Fan, 110 CFM, White
C: Broan-NuTone AER110RGBL ChromaComfort 110 CFM Ventilation Fan with 24 Color Selectable LED, 1.5 Sones, ENERGY STAR Certified, White


assistant
Answer: B,A,C
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: Given a query and a product, identify if the product is somewhat relevant to the query. It fails to fulfill some aspects of the query but the product can be used as a functional substitute. Only output yes or no.

Input:
Query: the suttle art of not giving a fuck
Product: Everything Is F*cked: A Book About Hope


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: sugar bowl without spoon
Product list:
A: KooK Large Sugar Bowl, Stainless Steel With Glass Lid, Includes Stainless Steel Spoon, Holds 2 cups of Sugar, 16.9oz
B: Simax Clear Glass Sugar Bowl With Lid | Sweetener Dispenser For Tea and Coffee  Great for Entertaining  Durable Borosilicate Glass  Dishwasher Safe  Made in Europe  Beautiful 16 Ounce Sugar Bowl


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 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: led cord lights
Product list:
A: Enbrighten 39092 Vintage Seasons LED Warm White & Color Changing Cafe String Lights, White, 48ft, 24 Premium Impact Resistant Lifetime Bulbs, Wireless, Weatherproof, Indoor/Outdoor, 48 ft
B: Utility LED Shop Light Fixture 2FT 4FT with Plug, Airand Waterproof Linkable LED Tube Light 5000K Under Cabinet Lighting,1800 LM LED Ceiling and Closet Light 18W, Corded Electric with ON/Off Switch
C: LED Rope Lights Outdoor, SURNIE White 50ft Waterproof Flexible Strip Lights Kit 110V Connectable, Cuttable 6000K Indoor Tape Lighting UL Certified Decorative Location Garden Stairs Balcony Party


assistant
Answer: C,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: Cuisinart DLC-10SY Pro Classic 7-Cup Food Processor, White
Product 2: Cuisinart DLC-8SBCY Pro Custom 11-Cup Food Processor, Brushed Chrome

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: 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: hair lightening spray
Product: John Frieda Sheer Blonde Go Blonder Lightening Shampoo and Conditioner, New 8.3 Fluid Ounce


assistant
Answer: yes
Task: Sentiment_Analysis

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


user 
Instruction: Carefully assess the user's review for any strong expressions of sentiment, either positive or negative. Based on your analysis, select the most fitting sentiment option from the provided list as output.

Input:
User Review: The Case M3Finn knife was exactly as I expected. Very good quality blade and handle. However, the sheath is of poor design. The "wrap" snags on branches, clothing, etc. and becomes quite soiled when cleaning small game. It's evident that it is not well liked in general when this style sells by itself on ebay for $5.00 and the older, original strap-snap sheath is selling for $25.00+.

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


assistant
Answer: C: neutral
Task: Query_Product_Rank

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


user 
Instruction: 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: window shuters
Product list:
A: Window Pro Shutters Panel Peg Lok Pin Screws Spikes 3 inch 60 Pack (Black) Exterior Vinyl Shutter Hardware Strongest Made in USA
B: iLiving ILG8SF10V - 10" Wall Mounted Exhaust Fan - Automatic Shutter - Variable Speed - Vent Fan For Home Attic, Shed, or Garage Ventilation, 820 CFM, 1200 SQF Coverage Area (Power Cord Not Included)
C: US Window And Floor 2" Faux Wood 34.125" W x 72" H, Inside Mount Cordless Window Blinds, 34.125 x 72, Smooth White


assistant
Answer: A,C,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: Given a query and a product, identify if the product is somewhat relevant to the query. It fails to fulfill some aspects of the query but the product can be used as a functional substitute. Only output yes or no.

Input:
Query: ugly christmas sweater vest men
Product: Daisyboutique Men's Christmas Rudolph Reindeer Holiday Sweater Cardigan Cute Ugly Pullover (Large, Santa-Print-Cardigan)


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: modily clothing
Product list:
A: Calvin Klein Women's Sleek Model Thong Panty, Black, Small
B: I fool around with models T-shirt I Funny Train Tees
C: Wrangler Women's Western Mid Rise Stretch Boot Cut Jean, Navy, 3W x 32L


assistant
Answer: A,B,C