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: 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 microwave in my OLD apartment doesn't have a built-in carousel.  I had this exact same model over 25 years ago.  I think the $30 price was extremely high.  It's heavy, cumbersome, noisy...  but it does rotate the food!

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 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: wireless mouse not rechargeable
Product list:
A: Anker 2.4G Wireless Vertical Ergonomic Optical Mouse, 800 / 1200 /1600 DPI, 5 Buttons for Laptop, Desktop, PC, Macbook - Black
B: Upgrade LED Wireless Mouse, Rechargeable Slim Silent Mouse 2.4G Portable Mobile Optical Office Mouse with USB & Type-c Receiver, 3 Adjustable DPI for Notebook, PC, Laptop, Computer (Mint Green)


assistant
Answer: A,B
Task: Query_Product_Rank

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


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

Input:
Query: cyber war will not take place
Product list:
A: Holikme 20Piece Drill Brush Attachments Set, Scrub Pads & Sponge, Buffing Pads, Power Scrubber Brush with Extend Long Attachment, Car Polishing Pad Kit
B: Holikme 25Piece Drill Brush Attachments Set,Scrub Pads & Sponge, Power Scrubber Brush with Extend Long Attachment All Purpose Clean for Grout, Tiles, Sinks, Bathtub, Bathroom, Kitchen


assistant
Answer: B,A
Task: Product_Relation_Prediction

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


user 
Instruction: Predict whether two products are similar, whether two products are likely to be purchased or viewed together based on their titles. Choose your answer from the provided options.

Input:
Product 1: 2.75&quot; Old World Christmas Green &quot;Sitting Frog&quot; Glittered Glass Ornament #12221
Product 2: Old World Christmas &quot;Froggy Love&quot; Glitter Glass Ornament #12248

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: 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: outdoor pillows not covers
Product list:
A: Hexagram Beach Pillow Covers 18x18 Set of 4, Light Blue Throw Pillow Covers, Starfish Beach Rules Quotes Room Decor Summer Pillow Case for Living Room Couch Bed, Outdoor Home Decor Cushion Covers
B: AVOIN colorlife Fall Watercolor Buffalo Plaid Bow Sunflower Pumpkin Stripes Truck Polka Dot Autumn Throw Pillow Covers, 18 x 18 Inch Pillows Seasonal Cushion Case for Sofa Couch Set of 4
C: Thanksgiving Pillow Covers 18x18 Set of 4, Fall Outdoor Pillows Decorative Throw Pillows Buffalo Plaid Sunflower Harvest Pumpkin Thanksgiving Holiday Pillow Covers Cases Sofa Decorations for Home


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: 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: Superior Chin-Zhou Aloeswood Powder - 20 grams Small Pack - 100% Natural - F152T
Product 2: Superior Vietnamese Hoi-An (Jinko) Aloeswood Powder - 20 grams Small Pack - 100% Natural - G252T

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: Answer yes if the product is a substitute for the query and no otherwise.

Input:
Query: world war z xbox one
Product: Zombie Army 4 Dead War - Xbox One


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: dress shirts for women
Product list:
A: EZEN Womens Ladies Button Down Dress Shirts Black X-Large
B: Ekouaer Sleep Shirt Loungewear Short Nightgown Women's Ultra-Soft Nightshirt Sleepwear with Pocket New Blue M
C: SheIn Women's Casual Side Bow Tie Neck Short Sleeve Blouse Shirt Top Small Dark Green


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 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: 24oz vacuum insulated stainless steel bottle
Product list:
A: Aquaa Life Vacuum Insulated Stainless Steel Water Bottle, 24 Ounce | Flip Top with Handle Insulated Water Bottle | Double Walled Wide Mouth No Straw Vacuum Insulated Water Bottles (Green)
B: Iron Flask Sports Water Bottle - 40 Oz, 3 Lids (Straw Lid), Leak Proof, Vacuum Insulated Stainless Steel, Double Walled, Thermo Mug, Metal Canteen
C: 25 OZ Vacuum Insulated Stainless Steel Double Wall, Sweat Proof, Leak Proof Thermos Hot Cold Water Bottle/Wide or Small Mouth, Vacuum Seal Cap, Reusable Travel Mug. (Piano White)


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: 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: FILTER  Wine Pour Spout by HOST
Product 2: Rabbit W6127 Super (Stainless Steel/Black/Clear) Wine Aerator and Pourer, 0

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: yeti tall thin can cooler
Product list:
A: YETI Replacement MagSliders, 3 Pack, Core Colors
B: YETI Rambler 10 oz Stackable Mug, Stainless Steel, Vacuum Insulated with Standard Lid, White


assistant
Answer: B,A
Task: Sentiment_Analysis

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


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

Input:
User Review: Item works as described. No problems cutting to fit my air cleaner.  Just use a decent pair of scissors.  I will buy again.

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: mexican candy not spicy
Product list:
A: Ricofiesta Party Pack - Assorted Hispanic Candy, Perfect for Pinatas and Children's Birthday Parties, 3.3lb
B: Mexican Candy Lollipops Mix Assortment (36 Count) Variety Pack of Sweet, Sour & Spicy, Includes Rebanaditas, Vero Mango, De La Rosa, Pipeno, Pina Loca, El Azteca Chileta, La Vaquita by Look-On


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: Mega Candles 12 pcs Unscented Red Taper Candle | Hand Poured Wax Candles 10&quot; x 7/8&quot; | for Home D&eacute;cor, Wedding Receptions, Baby Showers, Birthdays, Celebrations, Party Favors &amp; More
Product 2: Zest Candle 12-Piece Taper Candles, 10-Inch, Hunter Green Straight

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: 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: Returned it because the remote didn't work and you have to set the time every time you turn on the unit. Save your money

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


assistant
Answer: E: very 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: 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: laser printer airprint
Product list:
A: Brother Monochrome Laser Printer, HL-L5100DN, Duplex Two-Sided Printing, Ethernet Network Interface, Mobile Printing, Amazon Dash Replenishment Ready
B: HP LaserJet Pro M15w Wireless Laser Printer, Works with Alexa (W2G51A)


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: sealed hinge
Product list:
A: Garage Door Lube/Roller/Hinge/Bracket Tune Up/Service Kit (for 16' x 7' and 18' x 7' Doors)
B: Bormioli Rocco Glass Fido Jars - 13514 Ounce (4 Liter) with hermetically Sealed hinged Airtight lid for Fermenting, Preserving, Bulk - dry Food Storage, With Paksh Novelty Chalkboard Label Set (2 Pack)
C: HardwareXsupply 2" Nylon Sealed Garage Door Rollers, 6200ZZ High Performance Ball Bearing (10 Pack, 4" Stem)


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: 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: bag heat sealer
Product list:
A: Maybelline Great Lash Washable Mascara, Clear, 1 Tube
B: 100 Pcs 5x7 (O) Clear Flat Cello/Cellophane Treat Bags Good for Bakery, Cookies, Candies
C: Pack It Chic - 4 X 6 (1000 Pack) Clear Resealable Polypropylene Bags - Fits 4X6 Prints, Photos, A1 Cards, Envelopes - Self Seal


assistant
Answer: B,C,A
Task: Sentiment_Analysis

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


user 
Instruction: 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: Arrived earlier than expected. Wasn't an exact match for my Legend 60 Igloo cooler.  This thing may be over 20 years old.  I lost the cap for it and this was cheaper than getting a new snap cap.  I tried to find a replace snap cap from old bottles, etc, but no luck.  Plus I was not sure if advertised caps would fit.  The drain opening (where the water flows out)  in the drain unit was larger diameter than original so water will drain out faster.  The drain unit fit perfectly into the hole in the cooler.  I had to use the old gasket on the inside, so don't toss your old gasket.  It sticks out a bit longer beyond the outside recess, so Ill need to be careful not to hit it when loading into car, etc.

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


assistant
Answer: B: positive