JackyChunKit/Qwen3_SFT_Post huggingface dataset:
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: Please respond with yes if the product is a suitable substitute for the query, and no if it is not.

Input:
Query: rabbit wine stopper
Product: Reusable Wine Stopper (Pack of 4) | Silicone Cork Stoppers with Stainless Steel Top | Heavy Duty Food Grade Silicone Construction | Flexible Design Works with Beer Bottles Too | Easy to Clean


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: 2 Pack - DecoBros Stackable Kitchen Cabinet Organizer, Chrome
Product 2: Panacea Grayline 40116 Handy Helper Shelf, 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: 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: Good vacuum.  So much more powerful that my previous one.  They get better each time

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 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: dishwasher machine
Product list:
A: SodaStream Jet Sparkling Water Maker, Kit, Black
B: XQXA Hat Washers, 2-Pack Hat Cleaners-New Design Baseball Cap Washer, Fit for Adult/Kid's Hat Washer Frame/Washing Cage, Hat Shapers/Cleaning Protector Racks, Hat Washer for Washing Machine,Black


assistant
Answer: 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: 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: ullo wine filters
Product: Trobing Wine Filter 36 Bags, Removes Sulfites Histamines and Tannin, No More Wine Headaches Nausea, Wine Allergy Sensitivity Prevention

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: 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: Great way to have all your chargers or plugs fit into one power "strip".  Design allows for all but the largest chargers to fit side by side (a few might not).  I like the design and color coding that makes it easier to find the recepticle if it is shoved under your desk.

I bought several to take to Trade Shows, as well---to offer "charging stations" to prospects stopping by my company's booth---makes folks linger a bit if they need some juice.

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


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

Input:
Query: prosynbiotic standard process
Product: Standard Process Zypan - Whole Food Digestion and Digestive Health with Pepsin, Betaine Hydrochloride (Betaine HCl) and Pancreatin - Gluten Free - 330 Tablets


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: 1 gallon ziplock bags the king without the zip clip
Product list:
A: ProPack Disposable Plastic Sandwich Bags with Fold Close Top 300 Bags, Great for Home, Office, Vacation, Traveling, Sandwich, Fruits, Nuts, Cake, Cookies, Or Any Snacks (1 Packs)
B: Ziploc Gallon Food Storage Freezer Bags, Grip 'n Seal Technology for Easier Grip, Open, and Close, 30 Count, Pack of 4 (120 Total Bags)
C: Ziploc Freezer Bags with New Grip 'n Seal Technology, Gallon, 28 Count


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: 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: white hair spray temporary
Product list:
A: Redken Control Addict 28 Extra High-Hold Hairspray | For All Hair Types | Provides Long-Lasting Anti-Frizz Protection | 9.8 Oz
B: Wella EIMI Stay Firm Workable Finishing Hairspray, Lightweight Hold with Heat and UV Protection, 9 oz.
C: Jerome Russell B WILD Temporary Hair Color Aerosol Spray, Vibrant Chalk Colors (Stylist Kit) Haircolor Dye Hairspray (Siberian White)
D: Rubie's Bright Color Hairspray, Red


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: elobeth 44mm metal band
Product list:
A: EloBeth Watch Band Compatible with Apple Watch Series 7 41mm Watch 40mm Series 6/SE/5/4 Watch 38mm Series 3/2/1 Double Wrap Leather iWatch 41mm Band Women Girls
B: EloBeth Watch Band Compatible with Apple Watch Bands 38mm 40mm Series 6 5 4 3 2 1 iWatch Leather Band with Metal Buckle for Women Girls (38mm&40mm Pink)


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

Input:
User Review: This bow string wax is a good product and helps protect your bow strings from fraying.  I would recommend this product.

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: 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: flea trap light
Product list:
A: ZEP ONFT-1 Overnite Flea & Insect Trap
B: 7 Watt Night Light Replacement Bulbs - 10 Pack + 2 Free, Salt Lamps & NightLight Replacement Bulb, Electric Window Candle Bulb, Night Lamps & Christmas Lights. Incandescent E12 Socket C7
C: Happy Jack Pesticide Flea Beacon


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: decorative wall mount handrail
Product list:
A: Munchkin Loft Hardware Mounted Baby Gate for Stairs, Hallways and Doors, Extends 26.5"- 40" Wide, Silver Aluminum
B: Stanley Hardware S825-745 V8209 Handrail Bracket in Oil Rubbed Bronze


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: 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: teal coffee tables
Product list:
A: Top Finel Table Runner 36 inches Long,Striped Boho Table Runner with Tassels,Table Runner Farmhouse Style for Holiday Birthday Party Dining Decorations, Teal Green
B: Walker Edison Alayna Mission Style Two Tier Coffee Table with Rattan Storage Baskets, 40 Inch, Driftwood
C: Sauder 423525 Coral Cape Coffee Table, Satin Gold Finish


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: 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: 115 piece drill bit index without drill bits
Product list:
A: ENERTWIST Titanium Drill Bit Kit Set for Metal and Wood 230-Piece - Coated HSS Conventional 118 Deg Tip from 3/64inch up to 1/2 Inch, ET-DBA-230A
B: Monster & Master Titanium Plated Drill Bit Set, 29-Piece, High-Speed Steel Gold Drill Bits with 135 Degree Split Point Tip, 1/16" to 1/2", MM-TP-003


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: Canoe Outriggers / Stabilizers w/ ORANGE FLOATS
Product 2: Scotty #438 Gear Head Track Adapter

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: 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: Kenwood TM-281A 144MHz FM Transceiver
Product 2: Simplex Repeater Controller RT-SRC1 for UV-5R UV5R Extend your radio range much

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: 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: This light is alright, it worked for my camping trip, gave off the perfect amount of illumination, better than the one I had. But it seems the battery goes out faster in this light. It lasted me maybe three weeks of light before if started to flicker on me.

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


assistant
Answer: C: neutral
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'm very happy with this camera.  It is very easy to use and takes great pictures.  It only took me a few minutes of playing with the buttons to figure out how to use all of the important features.
The picture quality is great.  I opted to save money and stick with a 1.3MP camera because most reviews stated that there wasn't much advantage to 2MP and up unless you were going to print at 8x10.  Highest res shots (1280x960) printed beautifully as 5x7 on an HP 970 printer.
Very easy to install the USB connection.  Images transfer very quickly.  The main reason I selected this over the Olympus 360 was the USB connection.
I opted for rechargeable batteries up front because so many other reviews recommend using them.  I also got a 32MB smartmedia card to up the capacity at highest res and quality from 6 with the supplied 4MB card to 50 shots.
The main ease of use issue is the placement of the zoom control button on the back of the camera.  It's hard to adjust when composing a shot through the viewfinder.  Also, the self timer doesn't work with the manual exposure override--probably not a big issue for most users.  When using a point and shoot camera without a remote shutter release, I like to use the self-timer in low light situations to help prevent camera shake during the exposure.

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: 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: dazed and confused soundtrack cd
Product list:
A: National Lampoon's Animal House / Dazed and Confused / Fast Times at Ridgemont High 3-Movie Laugh Pack [DVD]
B: Dazed And Confused (1993 Film)


assistant
Answer: B,A