JackyChunKit/Qwen3_SFT_Post huggingface dataset:
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: What is the relevance between the query and the product title below? Answer from one of the options.

Input:
Query: stars without number
Product: Letter Tracing & Handwriting Practice Book - for Kids: Trace Letters and Numbers Workbook of the Alphabet and Sight Words, Preschool, Pre K, Kids Ages 3-5 + 5-6. Children Handwriting without Tears

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: D: The product is irrelevant to the query.
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: cub cadet seat safety switch
Product: (4) Seat Switch Compatible with John Deere Ariens 121305X 03793700 AM104403 B1AC71 7023354 725-3166


assistant
Answer: yes
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: Canon EF 24-105mm f/4 L IS USM Lens for Canon EOS SLR Cameras
Product 2: Tamron SP Auto Focus 2x Pro Teleconverter for Canon Mount Lenses (Model 300F)

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: 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: do not roll down window stickers
Product list:
A: I Hope Something Good Happens to You Today - 8-3/4" x 2-1/4" - Vinyl Die Cut Decal/ Bumper Sticker for Windows, Cars, Trucks, Laptops, Etc.
B: CustomBrandWare 150 Custom Circle Sticker BOPP Labels, Gloss/Matte Custom Sticker, Any Text + Image, Your Logo Design is Printed on (2 inch Circle)
C: 80 Pieces Can Vinyl Stickers Can Skin Decals Printed Can Labels Vinyl Labels Set Case Vinyl Skin Tags for Cans Cases Boxes


assistant
Answer: 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: 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: iymoo women sexy bodycon dress
Product list:
A: IyMoo Womens Sexy Mini Club Dress Mesh Sheer See Through Long Sleeve Zipper Mock Neck Bodycon Short Mini Dress Clubwear Black XL
B: IyMoo Bodycon Sexy Summer Dresses for Women - Two Piece Outfits for Party Club Night Bodycon Tracksuits Long Sleeve Crop Tops High Waisted Short with Hoode Black
C: IyMoo Woman Sexy Bodycon Dress - Shirtdress for Women Shift Striped Dress Tunic Tops Short Sleeve Blouse Tops High Low Asymmetrical Irregular Hem Long Shirt Tunic Tops Blue


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: trailer door latch
Product list:
A: X-Haibei 1 Set 6 Inches Trailer T Style Entry Door Latch Catch Holder Stainless Steel for RV Camper Cargo
B: Buyers Products B2159C Cam Action Door Lock Kit
C: Hamilton Bowes 2 Pack: RV T-Style Door Holder Catch 6" for Latch Holder Camper Trailer Cargo Hatch White


assistant
Answer: A,B,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: lifeproof iphone 6
Product list:
A: OTTERBOX SYMMETRY CLEAR SERIES Case for iPhone 6/6s (4.7" Version) - Retail Packaging - CLEAR (CLEAR/CLEAR)
B: OUNNE iPhone 6/6s Waterproof Case, IP68 Certified with Touch ID Underwater Full Body Cover SandProof Shockproof Snowproof for iPhone 6/6s (Clear)


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: I agree that the stoves knobs keep turning themselves back up, but there is an easy fix for it in the review below mine. We needed a stove for a car camping trip a few weeks ago and bought this locally. We were just reheating food that we cooked up at home and froze for the trip. Normally we overthink everything and overspend on items like this but this time we went with the basic stove. Other than the knob issue, which I intend to rectify as described in the next review, the stove performed just fine. It isn't worth a star deduction in my opinion. It's quick and easy to set up. We cooked 3 breakfasts and dinners on ours and still had not used up our propane canister.  It would have been nice if coleman had put a clamp inside it to hold the adapter when it's not being used but I just wrapped it in a piece of flannel and put it under the grate with one end in the hole in the center of the back. Any food that got splashed or dripped on area below the grate was easy to clean off. It cools down quickly. I used a long grill lighter for starting it.

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


assistant
Answer: A: very positive
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: white prom dress
Product: Likedpage Women's Lace Mermaid Bridal Wedding Dresses White US2


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: crochet bunny outfit 12 months old
Product list:
A: Simplee kids Animal Bunny Baby Easter Pajamas Long Ear Rabbit Hoodie Romper with Zipper
B: Newborn Baby Girl/Boy Crochet Knit Costume Photography Prop Hats Outfits (Grey Rabbit)
C: FUOITA Baby Winter Hat Kids Toddler Cozy Beanie Girls Boys Bear Ear Skull Cap with Earflaps White


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: Great, if you live in an apartment or condo and the don't have a large place for storage or to play.

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: 1.0 reading glasses without ears
Product list:
A: Silicone Eyeglasses Temple Tips Sleeve Anti-Slip Retainer for Sunglasses Reading Glasses,4 Pairs, 85mm, Black/White
B: Computer Reading Glasses 5 Pack Blue Light Blocking Glasses Anti Eyestrain Flexible Readers for Women Men (Multicolor, 2.75)


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: 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: hp keyboard without numpad
Product list:
A: Keychron K2 Bluetooth Wireless Mechanical Keyboard with Gateron Brown Switch/White LED Backlit/USB C/Anti Ghosting/N-Key Rollover, 75% Layout 84 Keys Gaming Keyboard for Mac Windows-Version 2
B: Razer BlackWidow TE Chroma v2 TKL Tenkeyless Mechanical Gaming Keyboard: Orange Key Switches, Tactile & Silent, Chroma RGB Lighting, Magnetic Wrist Rest, Programmable Macros, Classic Black
C: HP Wired Desktop Combo c2500 - H3C53AA#ABA,Black


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: Given the user's review, identify the user's sentiment from the listed options. Answer using one of the options.

Input:
User Review: I bought a Nook during one of my visits to Tampa, more specifically at the Wiregrass Shops. I must admit that I was tremendously excited when I got the device, because of the reviews and also the SD card capability.
My joy was short lived. During the 2 weeks that I owned the product I was never able once to open none of my sideloaded pdf's that I have amassed over the years (over 30GB - I am a voracious reader). A long string of calls to Customer Service and the shop itself ensued, after which I decided to take the trip again (I live outside of the USA) to return the device directly to the store.
Much to my surprise, they were extremely receptive at the store and also very apologetic for the device's inability to function properly outside the States and also the lack of functionality and propietary issues. I was refunded for all the items (Nook, cover case and screen protector) in no time at all.
So, in summary, the Nook gets a ZERO star in my review for paying more attention to the esthetics rather than the functionality of the reader, but B&N gets a FIVE star rating for their approachability and for their great costumer service!

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: Given the title of two products, predict if the two products are similar, if the two products will be purchased or viewed together. Answer only from the options.

Input:
Product 1: Ultimate Direction Meow Beltbag - Women's
Product 2: Ultimate Direction Phone Pocket, Slate, One Size

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

Input:
Product 1: Garmin eTrex 30x 010-01508-10 Handheld Navigator
Product 2: ebasy to 3.5mm Aux Headphone Jack Audio Adapter and Charger Compatible 7/8 / X / 7 Plus / 8 Plus/XS / XS Max/XR (White)

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: 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: eyeglasses without nose pads
Product: Silicone Nose Pads for glasses 2 Pair

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: !awnmower tires without rims
Product list:
A: 2PK 13x5.00-6 13x5.00x6 13x5x6 13x5-6 2PLY Turf Mower Tractor Tire with Gray Rim
B: Oregon 72-107 Universal Wheel 7X150 Diamond Plastic
C: Dr.Roc Tire Spoon Lever Dirt Bike Lawn Mower Motorcycle Tire Changing Tools with Durable Bag 3 Tire Irons 2 Rim Protectors 1 Valve Stems Set TR412 TR413


assistant
Answer: B,A,C
Task: Multiclass_Product_Classification

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


user 
Instruction: Analyze the query and product title to determine the relevance between the query and product, and select the appropriate option from the provided options.

Input:
Query: live stream
Product: 1/4: CBS Evening News

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.