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: 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: 07 ford fusion washer reservoir without pump
Product list:
A: ACDelco Professional 8-6710 Windshield Washer Pump, 3.59 in
B: Exerock 85330-60190 Windshield Washer Pump Motor Front Rear Replacement Compatible with Toyota, Lexus, Mazda, Mercury, Lincoln, Honda 85330-60170 85330-47010 85330-21010
C: Windshield Washer Pump Replacement for Ford, Lincoln, Mercury - OTUAYAUTO Factory OE Style with Grommet 6F9Z-17664-A


assistant
Answer: C,A,B
Task: Product_Relation_Prediction

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


user 
Instruction: 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: Evriholder Flipper Bytes Sandwich Crust Cutters
Product 2: Wilton Cookie Cutters Set, Alphabet, Numbers and Holiday Cookie Cutters

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: BV Bicycle Cycling Map Sleeve Quick-Release Front Basket Frame Tube Handlebar Bag with Two Mesh Pockets, Bike Pouch for Mountain, Road, MTB, Folding Bike
Product 2: CAT EYE - Velo 7 Bike Computer - Speedometer and Odometer - Optional Headlight and Tail Light

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: onesies for adults with buttflap
Product list:
A: Lazy One Flapjacks, Matching Pajamas for The Dog, Baby, Kids, Teens, and Adults (Bear Bum, Medium)
B: WOTOGOLD Men And Women Black Blue Pajamas Sportswear Hooded Unisex Jumpsuit Black,Small


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: Good scooter but the tassels came off in less than a month!

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


assistant
Answer: B: positive
Task: Query_Product_Rank

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


user 
Instruction: Evaluate each product title in the given list, assess its relevance to the given query, and then arrange the products in descending order of relevance, with the most relevant product at the top of the ranked list.

Input:
Query: revlon creme eyeshadow 730
Product list:
A: Revlon Illuminance Creme Shadow, Skinlights (730)
B: Revlon Colorstay Looks Book Eyeshadow Palette, Vibrant Eye Colors in Mix of Shimmer, Matte and Metallic Finish, Insider (920)
C: REVLON UniqONE All in One Hair Treatment, 5.1 Ounce


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: 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: western towels bathroom sets
Product list:
A: Western Texas Bath Rug Set 3 Piece Bathroom Contour Rugs Combo, Soft Bath Shower Mat and U-Shaped Toilet Floor Rug
B: MyGift Hand Towel Rings, Set of 2 Urban Rustic Wall-Mounted Torched Wood & Rope Towel Holders


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: 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 these boot to go with my GoFit Chin-Up Bar in spite of the reviews.  I wanted something less expensive than the other inversion boots that I've researched.
At first I tried them with no shoes on, but I guess I'm too heavy because the pressure the boots put on the top-center of my feet was causing too much pain to withstand for more than a minute or two.
I have to put on thick socks and my work boots to withstand the pain more than a couple mins.
My back is in better shape now though!  I don't have constant pain and discomfort anymore.  If you have good boots that protect the top of you feet well, this is a decent (not great), inexpensive option.

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


assistant
Answer: C: neutral
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: gothic necklace
Product list:
A: Alchemy of England Witches Heart Pendant, Silver
B: Men Gothic Jewelry Gun Black Metal Evil Demon Horn Skull Pendant Necklace


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: 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: 10m waterproof led strip lights outdoor without controller
Product list:
A: SPARKE RGBIC Led Strip Lights, 32.8ft/10m Dynamic Music-Sync LED Tape Light, 300 Pixels RGB 5050 WS2811B Waterproof Strip with RF Remote and Power Supply, Chasing Effect for Home Interior Parties
B: 32.8FT/10M LED Strip Light, RGB LED Strips Color Changing 300LED Light Strips Rope Lights DIY Color Options Strip Lights with 44-Key IR Remote for Bedroom Ceiling Under Cabinet
C: LED Color Changing SMD 5050 RGB Strip Lights 300leds 32.8ft 10m Waterproof LED Strip Light Kit with 44Key Remote Controller and 12V 5A Power Supply for Bedroom,TV,Party and Home Decoration


assistant
Answer: C,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: rosary beads catholic for men
Product: Catholic Pink Pearl Beads Rosary Necklace By Nazareth Store 6pcs Our Rose Flowers, Lourdes Medal & Cross NS


assistant
Answer: no
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: high degree angle stepper
Product list:
A: STEPPERONLINE Nema 17 Stepper Motor Bipolar 2A 59Ncm(84oz.in) 48mm Body 4-lead W/ 1m Cable and Connector compatible with 3D Printer/CNC
B: DSS-M15 Metal Gear Standard Servo with 180 Degree Wide Angle, Maximum Torque 18Kg, High Load Capacity for 12 Hours Long
C: Worm Gear Gearbox NMRV-030 Speed Reducer Ratio 80:1 for Stepper Motor


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

Input:
User Review: Pounder does not take much to achieve the desired results. I've tried other types and brands but I like the ease and handling of this style.

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


assistant
Answer: A: very positive
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: This is a great camera. I wanted a digital camera to take the place of my point and shoot, and not necessarily my SLR. The Digital ELPH fits that role admirably. It's size is the major plus for me. I take it everywhere with me now and since it's digital, I don't have to worry about wasting film. I just carry it in my front pocket whenever I'm walking around.
The resolution is good enough for a nice 5x7, and 8x10 is certainly possible for anybody not too critical of quality. I have noticed a bit of fringing in the pics on occasion, but nothing significant. The USB port allows fast downloads, and the included software is adequate, though I do most of my work in Photoshop. I have noticed a bit more red eye than I'm used to, but I just have to remember to us the red eye reduction feature on the camera. The included 8 mb flash card quickly became insufficient and I got a Lexar Media 48 mb flash card, which gives me about 77 pictures at medium quality (around 500Kb) and about 31 pictures at high quality (around 1.7 mb). Another issue is the battery life. Luckily, the camera comes with a rechargeable battery, unlike the S10 and S20. I'll probably have to get another one of these if I'm out shooting for an extended time.
Overall a great camera for just shooting around. I've used it to take photos at work during the holidays and everyone wants one now. It certainly has a high "coolness" factor.

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: 10x10 gazebos for patios
Product list:
A: Oakmont 10' x 10' All-Season Permanent Soft-Top Patio Gazebo, Outdoor Gazebo Canopy with Net Drapery Mosquito Netting and Shade Curtains (Brown)
B: StarEcho 10 x 13 Gazebos for Patios, Outdoor Gazebo Canopy with Mesh Netting, Patio Gazebo Tent Outside for Backyard, Khaki


assistant
Answer: A,B
Task: Product_Relation_Prediction

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


user 
Instruction: 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: HOSL Cake Tools 14 sets (46pcs) Flower Fondant Cake Sugarcraft Decorating Kit Cookie Mould Icing Plunger Cutter Tool, White
Product 2: Silicone Newborn Baby Mould for Clay, Fimo, Fondant,sugar, and More By First Impressions

Options:
A: Users who buy product 1 may also buy product 2.
B: Users who view product 1 may also view product 2.
C: The product 1 is similar with the product 2.


assistant
Answer: A
Task: Sentiment_Analysis

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


user 
Instruction: 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: I WILL BE GETTING ANOTHER ONE TO KEEP ON THE SECOND FLOOR OF MY HOUSE.  I OWN A HAIR SALON AND I USE IT TO PICK UP ALL THE STRAY HAIRS THAT THE BROOM LEAVES BEHIND AND IT WORKS MORE THAN GREAT!  IT WILL PICK UP SURFACE CAT HAIR AND SMALL DIRT PARTICLES FROM STAIRS (ON CARPET) BUT WILL NOT DO A GOOD DEEP CLEAN - IF THAT'S WHAT YOU ARE LOOKING FOR.  EXCELLENT FOR AREA RUGS AND BARE FLOORS!  I WOULD HIGHLY RECOMMEND THIS PRODUCT.

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: cd and cassette player combo stereo home system
Product: Jensen CD785 Bluetooth Music System CD Cassette AM/FM (Black)


assistant
Answer: no
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: extra ordinary
Product list:
A: And Just Like That, You're Struck
B: The Extraordinary Tale of William Buckley: The great untold story of Australia's Robinson Crusoe


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: business mastery 5th edition
Product list:
A: Business Mastery: A Guide for Creating a Fulfilling, Thriving Practice, and Keeping It Successful
B: Spelling Mastery Level B Teachers Presentation BK 98 Ed


assistant
Answer: A,B