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: first response pregnancy test 3 pack
Product list:
A: Wondfo Pregnancy Test Strips Early Detection - Extra Sensitive 10 MIU/ML HCG Early Predictor Kit (25 Count)
B: Early Result Pregnancy Test, 3 Tests (Packaging & Test Design May Vary) - 2 Pack


assistant
Answer: B,A
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: Check if a product can function as a substitute for a given query, even if it doesn't fully meet all requirements. Output yes if it can or no otherwise.

Input:
Query: settlers of catan
Product: CATAN Starfarers Board Game 2nd Ed. (Base Game) | Family Board Game for Adults and Kids | Adventure Board Game | Ages 14+ | 3 to 4 players | Average Playtime 120 minutes | Made by Catan Studio


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: 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: bluetooth headphones
Product list:
A: Bluetooth Headphones, Doltech Bluetooth 5.0 Neckband Headphones Noise Cancelling Headset with Carrying Bag Retractable Earbuds Stereo Earphones with Mic (Black)
B: TOZO T5 Bluetooth Headphones True Wireless Earbuds Sport Earphones Touch Control Headset with Wireless Charging,Bass Stereo,Sweatproof for Running, Gym, Workout


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: 15 inch fastpitch softball
Product list:
A: Franklin Sports Fastpitch Softball Glove - Fastpitch Pro - Adult and Youth Softball Mitt - Infield and Outfield - left Handed Glove - Lime 12.5" for Right handed throw
B: Mizuno Samurai Womens Boxed Catcher's Gear Set, Black-Grey, 13-15" Women's


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: 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: although they work and sound great there is one flaw you must go to plantronics web sit to download updated software to make them work properly

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


assistant
Answer: A: very 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: 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: FairwayPro Divot Simulator Golf Mat
Product 2: Select 20x10x10 DIY Golf Frame Corners

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: mens swim trunks without mesh lining
Product list:
A: Speedo Men's Swimsuit Square Leg Poly Mesh Training Suit - Manufacturer Discontinued
B: unitop Men's Colortful Striped Swim Trunks Surfing Beach Board Shorts with Lining Green-36
C: Amazon Essentials Men's Board Short, Charcoal, 40


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: 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: face mask without earloops
Product list:
A: QwikGuard Single-Use Strapless Face Masks - Designed For On-The-Go Comfort And Safety With Up To 5x Better Filtration Than Cloth Masks Or Bandanas - Two-Ply, Latex-Free, Made In The USA (15 Count)
B: Yoofly Mask Extender for Adjustable,Anti Slip Mask Ear Strap Hook Reducing Pain and Pressure for The Ear, Mask Extender Anti Tightening for Ear Prote,Available for Adults Kids (8 Pack)
C: Face Mask Bracket Large for Men,Mask Bracket Internal Support Frame with Ear Loops,Upgrade 3D Mask Bracket for Adult,Keep Fabric Off Mouth,10 Pcs
D: Reusable Washable Face Mask with Adjustable Ear Loops & Nose Wire-3 Layer Mask with 2mm Built in Cotton Filter- Unisex Fits Most Adults and Teens (2Pack)


assistant
Answer: A,C,B,D
Task: Multiclass_Product_Classification

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


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

Input:
Query: led recessed lighting 6 inch
Product: Sunco Lighting Can Lights for Ceiling 6 Inch Remodel Recessed Lighting Housing, 120-277V, TP24 Connector Included, Air Tight Steel Can, Easy Install, IC Rated, UL & Title 24 Compliant 6 Pack

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: I want to buy a powerful laptop to put linux on, so maybe a lenovo or dell with a clear screen and lightweight.
Product list:
A: Lenovo Chromebook S330 Laptop, 14-Inch FHD (1920 x 1080) Display, MediaTek MT8173C Processor, 4GB LPDDR3, 64GB eMMC, Chrome OS, 81JW0000US, Business Black
B: Lenovo Chromebook C330 2-in-1 Convertible Laptop, 11.6-Inch HD (1366 x 768) IPS Display, MediaTek MT8173C Processor, 4GB LPDDR3, 64 GB eMMC, Chrome OS, 81HY0000US, Blizzard White


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: 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: kiss him not me stickers
Product list:
A: Kiss Not Otaku Him Anime Me Manga Yaoi Fujoshi PCS Cute Vsco Vinyl Aesthetic Waterproof Stickers Laptop Hydroflask Skateboard Computer Stickers
B: 50PCS My Hero Academy Sticker, Character Tape Office Decor Sticker Circular Badge 4pcs
C: Anime Stickers Mixed Pack [200pack] Vinyl Waterproof Stickers for Laptop,Skateboard,HydroFlask,Water Bottle,Computer,Guitar,Luggage,Bike Bumper


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: Millennium Marine SW200 Salt Water Casting Seat
Product 2: Shoreline Marine Seat Mount Plated

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: call of duty black ops. 2
Product list:
A: Call of Duty: Black Ops III (PS4)
B: Turtle Beach Call of Duty: Black Ops II KILO Limited Edition Stereo Gaming Headset
C: Call of Duty Black Ops II Xbox 360


assistant
Answer: C,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: blue and white orb
Product: Cootway Floating Pool Lights Ball, Hangable 14 Inch Solar Powered Pool Lights with 5 Light Modes, Inflatable Waterproof Colorful LED Glow Globe Lights for Pool Garden Patio Lawn Wedding Party (1pcs)

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_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: sanerdirect diamond painting
Product: Kingshalor Diamond Painting Kits for Adults, Full Drill DIY Sea 5D Diamond Painting Embroidery Cross Stitch Arts Craft Picture Kit, Paint with Diamond Wall Decor Wave Sunset 37.5 x 17.7inch


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: classroom border maroon
Product list:
A: Carson Dellosa Scalloped Bulletin Board BorderBlack Rolled Border for Bulletin Boards, Desks, Locker Displays, Homeschool or Classroom Decor (2.25" x 36')
B: Trimmer Maroon Classroom Border [Set of 3]
C: Paper Mate Flair Felt Tip Pens | Medium Point 0.7 Millimeter Marker Pens | School Supplies for Teachers & Students | Assorted Colors, 12 Count


assistant
Answer: B,A,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: glucometer without strips
Product list:
A: FORA Sterile Safety Lancet, 1.8mm Depth, 30 Gauge, 100 Count, Diabetic Supplies for Blood Glucose Testing. No Lancing Device Needed
B: OneTouch Verio Diabetes Test Strips Value Pack - 30 Count (2 Pack)


assistant
Answer: 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: 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: good product but I prefer to tie a nail knot and apply a drop of superglue on the knot. Can't trust heating the shrink tube without damaging the fly line

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


assistant
Answer: A: very 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: DKC Knives (16 5/18) Sale DKC-37-BH Victorian Damascus Folding Pocket Knife Buffalo Horn 7.75&quot; Long, 4.5&quot; Folded 3&quot; Blade 4.8oz Hand Made Incredible Look and Feel
Product 2: DKC Knives Sale (42 6/18) DKC-729 Coyote Damascus Steel Folding Pocket Knife Custom Handmade Stag Horn 7.75&quot; Long, 4.5&quot; Folded 3&quot; Blade 6.4oz Hand Made Incredible Look and Feel

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