JackyChunKit/Qwen3_SFT_Post huggingface dataset:
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: LimoStudio 4 Socket Photo Bulb Adapter - Converts 1 Socket into 4 - Use for Standard Socket Flourescent Bulbs, AGG882-A
Product 2: MASSCOOL 80mm Cooling Fan FD08025S1M3/4

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: 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: 116pc stoneware dinnerware set without cups
Product list:
A: ZYAN 16 Piece Round Dinnerware Sets, Blue Garden Stoneware Dish Set, Dishwasher Safe Plates and Bowls Sets for 4
B: Gibson Casa Estebana 16-piece Dinnerware Set Service for 4, Beige and Brown - 70736.16RM
C: Stone Lain Coupe Dinnerware Set, Service For 4, Black Matte


assistant
Answer: C,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: 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: troy bilt tb415cs primer bulb
Product list:
A: Anzac 753-04296 Carburetor for Troy-Bilt TB26TB TB475SS TB525CS TB146EC TB590BC TBE515 TB575SS Gas Trimmer
B: Hipa (Pack of 5 530058709 Air Purge Primer Bulb Pump for Husqvarna Poulan Craftman Weedeater String Trimmer Blower
C: Panari 753-1225 Carburetor for Ryobi 650r 825r 825RA 875r 890 890r Yard Man YM21SS YM26SS YM26BC BrushCutter MTD Troy Bilt TB415CS TB425CS TB465SS TB475SS TB490BC Trimmer


assistant
Answer: C,B,A
Task: Multiclass_Product_Classification

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


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

Input:
Query: golf tees purple
Product: Velocitee Golf Tees 2 3/4" Golf Tee

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

Input:
Query: mom shorts high waisted
Product: Levi's Women's Bermuda Shorts, Royal Rinse - Dark Indigo, 26 (US 2)


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: coffe table slider
Product list:
A: Signature Design by Ashley - Porter Coffee Table w/ Storage, Rustic Brown
B: Amazon Brand  Stone & Beam Ferndale Rustic Coffee Table, 51"W, Espresso
C: VIVO Adjustable Under-Desk Slider PC Mount, Computer Case Holder with Pullout Slide Track and 360 Degree Swivel, Black, MOUNT-PC01D


assistant
Answer: C,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: melting white chocolate
Product list:
A: Wilton Bright White Candy Melts Candy, 12 oz.
B: Merckens Chocolate Coatings, White, 5 Pound
C: Ghirardelli Baking Chips, Classic White Chocolate, 11 oz


assistant
Answer: B,A,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: 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: LAZAMYASA Animal Fashion Abstract Pug Dog Cushion Cover Case Pillow Custom Zippered Square Pillowcase 18x18 (one Side),Bear
Product 2: LAZAMYASA Animal Fashion Abstract Pug Dog Cushion Cover Case Pillow Custom Zippered Square Pillowcase 18x18 (one Side),Kitty Hawk

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: Easy to hold onto. The plastic sheath can attach to a belt. The orange handle makes it easy to find in the dirt, grass and leaves. It's a nice little hatchet.

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: 1 morton sea salt without iodine
Product list:
A: Hickory Smoked Sea Salt 2 lb. Bag - Fine Grain by San Francisco Salt Company
B: Morton Salt Natural Sea Salt - 26 oz - 2 Pack
C: Morton Salt Iodized Sea Salt, 26 oz (2 Pack) w/ Custom F.O.Y Measuring Spoon and Clip


assistant
Answer: B,A,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: Assess the user's sentiment in the provided review and select the appropriate sentiment option from the list as the answer.

Input:
User Review: Color was great but wife did not like cone filters and on off switch.

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


assistant
Answer: D: negative
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: refrigerators with ice makers
Product: LG AEQ73110203 Refrigerator Ice Maker Assembly

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: C: The product does not fulfill the query, but could be used in combination with a product exactly matching the query.
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: AntennaX Off-Road (13-inch) Antenna for (07 thru 18) Jeep Wrangler JK JL
Product 2: AntennaX The Shorty (5-inch) Antenna for Jeep Patriot

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: 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: holley dominator
Product list:
A: NEW HOLLEY STREET DEMON CARBURETOR,BALL-BURNISHED SHINY ALUMINUM WITH BLACK COMPOSITE FUEL BOWL,625 CFM,4 BARREL,ELECTRIC CHOKE,GASOLINE ONLY,VACUUM SECONDARIES
B: NEW HOLLEY SNIPER EFI SELF-TUNING MASTER KIT,800 CFM,BLACK,4BBL,FUEL INJECTION CONVERSION
C: Holley - 550-903 Terminator X Ls1 24X/1X Mpfi Kit
D: Holley 0-3310S Model 4160 Street Performance 750 CFM Square Bore 4-Barrel Vacuum Secondary Manual Choke New Carburetor


assistant
Answer: D,C,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: out door wireless samsung wifi cameras
Product list:
A: SAMSUNG (MB-ME32GA/AM) 32GB 95MB/s (U1) microSDHC EVO Select Memory Card with Full-Size Adapter
B: Wireless Charger with Spy Hidden Camera, LIZVIE 1080P HD Mini Smart Nanny Security Cam WiFi Remote Viewing/Night Vision/Motion Detection
C: Dericam 1080P@30fps 1920TVL Full HD Bullet Outdoor Security Camera, HDCVI/HDTVI/AHD/960H CVBS 4-in-1 Surveillance Camera, IP66 Metal Housing, 24 LEDs/82ft Night Vision, 85Viewing Angle, AC2MB2, White


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: the white shadow complete series dvd
Product list:
A: The White Shadow - Season 1
B: Shazzan: The Complete Series
C: The White Shadow (The Complete Season 1 / 2) (2-Pack)
D: The Mortal Instruments, the Complete Collection(City of Bones/ City of Ashes/ City of Glass/ City of Fallen Angels/ City of Lost Souls/ City of Heavenly Fire)


assistant
Answer: C,B,A,D
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: big and tall button down shirts
Product list:
A: Harriton Men's Short Sleeve Barbados Textured Button Down Camp Shirt M560 yellow X-Large
B: Nautica Men's Long Sleeve Button Down Oxford Shirt, J Navy, Large


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: propress tool
Product list:
A: Ridgid 16978 1-Inch Jaw for The ProPress
B: Ridgid 57373 RP 241 Press Tool Kit 1/2"-1" PP+LIO
C: RIDGID 44693 18V Advanced Lithium 2.0Ah Battery for RIDGID Pressing and Diagnostic Cordless Tools
D: Milwaukee 49-16-2690 M18 Force Logic Press Ring 2 1/2"- 4" Kit


assistant
Answer: A,B,D,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: on the black hill by bruce chatwin
Product list:
A: Brodie's Notes on "On the Black Hill" (Pan Study Aids)
B: The Nightowl's Dissection
C: Bruce Chatwin Pair of titles: On the Black Hill (1984) & The Songlines (1987)


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 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: dvd player without hdmi
Product list:
A: Gueray DVD Player for TV All Region Free DVD CD Recorded Disc Player with HD 1080P and External HDD Playback DVD Support Double Mic Port USB Port Compatible/AV Cable and Remote Included
B: Sony BDPS3200 Blu-ray Disc Player with Wi-Fi (2014 Model)
C: Super Mini DVD Player, DVD/CD Player for TV with HDMI Output/USB Input,  Small DVD Player All Region Free, HD 1080P, USB Supported, HDMI/AC Cables Included
D: DVD Player for TV - Compact AV Connection DVD Player, Read All Region DVDs, USB Input Feature, PAL/NTSC Auto-Switch, Small CD/DVD Player for Home, HD 1080P, with HDMI&AV Cables, Remote Control


assistant
Answer: D,B,A,C