JackyChunKit/Qwen3_SFT_Post huggingface dataset:
Task: Query_Product_Rank

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


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

Input:
Query: womens underwear cotton no visable lines
Product list:
A: Natori Women's Bliss Comfort One Size Boyshort, Caffe, OS
B: Wealurre Seamless Underwear Invisible Bikini No Show Nylon Spandex Women Panties(826m red)
C: Jockey Women's Underwear No Panty Line Promise Tactel Hi Cut, Midnight Poppy, 6


assistant
Answer: B,C,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: plus size christmas sweaters for women
Product list:
A: ICONOFLASH Plus Size Christmas Dresses with Pockets for Women 3/4 Sleeves Swing Holiday Party Dress Up Color Candy Cane Pattern, Size 3XLarge
B: ReachMe Womens Oversized Sherpa Pullover Hoodie with Pockets Fuzzy Fleece Sweatshirt Tie Dye Fluffy Coat(A Brown,M)


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

Input:
Product 1: Holy Land Market Mezuzah - Wood Precious Stones - Cut by Laser with Scroll (Shaddai)
Product 2: Wooden Messianic Seal Mezuzah case with Messianic Seal - 5 Inch with Scroll and Jerusalem Stones

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: 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: Icom M36 01 Floating Handheld 6W Marine Radio with Clear Voice Audio
Product 2: Standard Horizon HX380 1.5&quot; Standard Handheld VHF

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: freeze dryer machine for home use food not dehydrator
Product list:
A: Elite Gourmet Food Dehydrator, Adjustable Temperature Controls, Jerky Herbs Fruit Veggies Snacks, BPA-Free, Black 5 Trays
B: Food Dehydrator Machine, Elechomes 8-Tray Commercial Dehydrators with Free Accessories, 4 Presets for Fruit Meat Beef Jerky Herbs Vegetables, Timer Temperature Control, 50 PDF Recipes, BPA Free


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: 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: Royal Doulton Pacific Tapas Bowls, 4.3-Inch, Blue, Set of 6
Product 2: Sendan Bowl Navy 7.75&quot;dia.x 2.75&quot;h

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: 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: OP/TECH USA 1301432 Mini QD Extensions - System Connectors
Product 2: OP/TECH USA 3401002 Compact Sling for Cameras (Black)

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: 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: Bianchi AccuMold Elite 7909 Flashlight Holder
Product 2: Safariland Low-Ride Universal Belt Loop with 2.5&quot; Belt Width, Black

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: 1 dooler figits not scam
Product list:
A: VQVAAQ Multicolor Fidget Toys Stress Relief Toy Helping People with Anxiety and Depression divert Attention, 7 pcs
B: [DEAR,KLAIRS / Wishtrend] Freshly Juiced Vitamin Drop, 5% Hypoallergenic pure vitamin C serum, 35ml, 1.18oz | a potent skin rejuvenator, l ascorbic acid vitamin c serum, antioxidant serum for face


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: GPX 7&quot; Digital Picture Frame
Product 2: Insignia 8&quot; Digital Picture Frame NS-DPF8

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: 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: After going through a new toaster oven every couple of months - none of them lasted longer than a year - we decided to end this ridiculous "buying and throwing away  cheap toaster oven ritual" by getting a topof the line DeLonghi.  It worked just fabulously, and we could not rave enough about it - until this morning after about two months - when DeLonghi suddenly lost some vital parts during breakfast preparation.  That was not a good way to start the day. I called the DeLonghi service line to find out what to do with the diseased member of their family, while staring at my uncooked bacon.  I punched my way through a maze of useless automated telephone response options - finally after half an hour on the line,  I got a rather unfriendly and unresponsive customer service agent who advised me to contact the nearest service center, which is 27 miles from home (one way).  This meant driving 54 miles to bring the thing there and 54 miles to pick it up - or two half day excursions to the Los Angeles area, braving L.A. traffic. After learning that it would take between four and six weeks to fix my DeLonghi  (there must be a lot of DeLonghis giving up the ghost prematurely),  I called Amazon to the rescue.  My concerns were handled professionally and  responsively by a friendly AMAZON customer agent (the DeLonghis could learn from them). AMAZON is sending  a prepaid UPS return label and the DeLonghi goes back where it came from - full refund minus restocking charges - much better than wasting two half days in traffic.  Impressed and reassured by this AMAZON performance,I ordered a new one as our family cannot live without a toaster oven.  However DeLonghi is passe, so we're going with a Cuisinart with a standard 3 year warranty. Thank you AMAZON, you are a great dot-com !

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


assistant
Answer: D: negative
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: Helmet Extension Kit for GoPro Hero 1, Hero 2, Hero 3, Hero 3+, Hero 3 Plus, Hero 4 Camera - Black
Product 2: TOZ TZN-S03 Universal Rotary Extension Arm Mount Set for Gopro Hero 4 3 3+ 2 1, GoPro Accessories Kit Extension Arm Adapter Pivot Arm Thumbscrew

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: 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: A little noise/rattle inside the cups, but for this price, you can't expect $150-$300 quality. Comfortable over my big ears. I've worn others that made them hurt after a while, these don't. Can't figure out what the complaint about the hammock style strap over the top of the head is about that I read about in some other reviews. Put them over your head, adjust the earpieces to your ears, and you're done. I have no complaints about comfort. They get hot, but so do every other headphone I've ever used. Works as designed. Cord is plenty long, and included a 3.5mm/1/4" (6.35mm) TRS adapter to work in my audio interface, or for other applications that have a 1/4" jack.

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: bed of nails puzzles
Product list:
A: ProsourceFit ProSource Acupressure Mat and Pillow Set for Back/Neck Pain Relief and Muscle Relaxation, Black
B: innhom 24 Tiles Gym Mat Exercise Mat Puzzle Foam Mats Gym Flooring Mat Interlocking Foam Mats with EVA Foam Floor Tiles for Gym Equipment Workout Mat, 93 Square Feet


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: honeywell lyric t5 thermostat
Product: Honeywell TH8732WFH5002 Thermostat

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: 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: BAMF 2-Way Coax Cable Splitter Bi-Directional MoCA 5-2300MHz
Product 2: Linear 2514 ChannelPlus DC &amp; IR Passing 4-Way Splitter/Combiner

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: 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: cot size air mattress with built in pump
Product list:
A: ZOOOBELIVES Extra Thickness Inflatable Sleeping Pad with Built-in Pump, Most Comfortable Camping Mattress for Backpacking, Car Traveling and Hiking, Compact and Lightweight - Airlive2000
B: Outbound Twin Air Mattresses | 500lb Capacity | Comes with Repair Patch & Bag | 2-Pack


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: gold egyptian comforter
Product list:
A: Danjor Linens Queen Size Bed Sheets Set - 1800 Series 6 Piece Bedding Sheet & Pillowcases Sets w/ Deep Pockets - Fade Resistant & Machine Washable - Taupe
B: Amazon Basics Easy-Wash Embroidered Hotel Stitch 120 GSM Sheet Set - California King, Off-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: 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: Curtain Chic Murray Hill Trumpet Valance, Amethyst
Product 2: Serenta Classic Embroidery Valance, 60&quot;x19&quot; (Lilac Roses)

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