JackyChunKit/Qwen3_SFT_Post huggingface dataset:
Task: Query_Product_Rank

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


user 
Instruction: Given a query and a list of products denoted as A, B, C, ... with their titles, rank the products according to their relevance to the query. Output only a ranked list in which the most relevant product is at the top of the list.

Input:
Query: judge not by the cover
Product list:
A: Don't Judge a Book by Its Cover
B: Kawaii Turtle Don't Judge a Book By its cover T-Shirt


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: 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: MVP Disc Sports Electron Firm Ion Putter Golf Disc [Colors May Vary]
Product 2: MVP Disc Sports Neutron Impulse Distance Driver

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: 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: Cable Matters USB-C Cable (USB A to USB C Cable / USB C to USB Cable) in Black 3.3 Feet
Product 2: UGREEN USB C OTG Cable USB C USB Adapter, Male Type C to Female USB 2.0 A Adapter for Samsung S8 Plus, Google Pixel, Nexus 5X 6P, Macbook, LG G7 V20 G5 G6, Microsoft Lumia 950 XL,OnePlus 5T, Oneplus 3

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: 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: swim up bar stool
Product list:
A: Pratcgoods 2 Step Ladder Folding Step Stool Ladder with Handgrip Anti-Slip Sturdy and Wide Pedal Multi-Use for Household and Office Portable Step Stool Steel
B: Envy Pool Products ENV00300 Pool Stool, White


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 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: 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)
C: EloBeth Compatible with Apple Watch Band 44mm Series 6/5/4 & Apple Watch SE 44mm Band,Men Stainless Steel Bands with Carbon Fiber Patter Protective Case for iWatch 44mm Series 4/5/6 (Black/Black)


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: 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: brown tights for women
Product list:
A: HUE Women's Opaque Tights with Control Top 2 Pack, Black, 4
B: L'eggs Women's Brown Sugar Ultra Sheer Panty Hose, Coffee, Medium


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: 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 spanx jeans
Product list:
A: NYDJ Women's Pull-On Skinny Ankle Jeans | Slimming & Flattering Fit, Optic White, 16
B: SPANX Shapewear for Women, Tummy Control Power Shorts (Regular and Plus Sizes, Soft Nude, MD)


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: 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: Casual Home 355-20 Drop Leaf Breakfast Cart with 2 Stools-Natural
Product 2: Crown Mark Tyler 4-Piece Counter Height Table Set

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: twin platform bed without headboard
Product: Allewie Twin Size Platform Bed Frame with Wooden headboard and Metal Slats/Rustic Country Style Mattress Foundation/Box Spring Optional/Strong Metal Slats Support/Easy 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: 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: Analyze the user's review text and determine the overall sentiment expressed, then choose the corresponding sentiment option from the provided list (A: very positive, B: positive, C: neutral, D: negative, E: very negative) based on the identified sentiment.

Input:
User Review: Frankly I don't need anything this hi-tech to make a pot of coffee.  That said, we've been delighted with the ease of use, drip-free pouring, and especially the quality of the coffee produced.  We'd select this one again without hesitation.  Good price, too.

There are some design quibbles.  The brew switch is an odd, small, sharp lever.  The readouts and printed labeling are WAY too small.  And you do have to pull the thing out on the counter to get the water in.  See other reviews for other complaints.

What puts this machine in perspective is the DeLonghi equivalent coffemaker my office purchased.  Not only is it nightmarish to use, but the coffee's awful!  You have to use more grounds to get the same strength as what this Cuisinart produces, and meanwhile you've dribbled coffee all over the counter.  Caveat emptor.

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


assistant
Answer: B: 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: Analyze the user's review text and determine the overall sentiment expressed, then choose the corresponding sentiment option from the provided list (A: very positive, B: positive, C: neutral, D: negative, E: very negative) based on the identified sentiment.

Input:
User Review: Bought this to replace our old Stir Crazy that was nearly 15 years old. It actually still worked but the cover was cracked and the base leaked a bit. So, even after researching a lot of other electric popper options, I decided this was the best choice for us for a few reasons. Cost: paid just over $30 total. Flavor: We like to pop our kernels in coconut oil, then skip adding butter - healthier! You won't miss the butter, and a little sprinkle of salt (or any flavoring!) sticks to the popcorn just fine for us. The rotating mechanism doesn't appear to be as durable as our old model, and isn't exactly flush against the bottom. The only issue this creates is having a popped kernel stuck now and again. It's the reason I didn't give it 5 stars. We use it at least twice a week and it'll be interesting to see if this one lasts 15 years.

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: 9 wishes rice foaming cleanser
Product list:
A: [9wishes] Rice Foaming Cleanser 4.0Fl. Oz, 120ml Gentle Exfoliator Cleanser without Damaging and Drying Skin & Effective Makeup Remover - Rice Bran Extract and Rice Powder Revives and Ups Dull Skin with Abundant Minerals
B: SKINFOOD Rice Daily Cleansing Foam 150ml - Delicate, Fine, and Smooth Cleansing with Fermented White Rice Ingredients - Firming Bubble Facial Foam Cleanser - For Men and Women (5.07 fl. oz.)
C: [9wishes] Hydra Ampule Cushion & Refill & 2 puffs SPF50+ PA+++, Titanium Dioxide Moist Feeling Cushion (#21 Light)


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: writing desk
Product list:
A: OFM 1070 44" Home Retro, Writing Desk with Storage, Hairpin Legs, in Black/Natural (1070-BLK-NAT)
B: Ameriwood Home Owen Retro Desk with Metal Legs Weathered Oak
C: Computer Desk Study Writing Table for Home Office Living Room, Modern Simple Style Computer Desk,Office Desk,Save Space,US Fast Shipment
D: Computer Desk Study Writing Table for Home Office Living Room, Modern Simple Style Computer Desk,Office Desk,Save Space,US Fast Shipment


assistant
Answer: A,B,C,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: 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: 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
C: Luxury Cotton Towel Set- Quick Dry, Zero Twist and Soft 6 Piece Set With 2 Bath Towels, 2 Hand Towels and 2 Washcloths By Lavish Home (Chocolate)
D: Glamburg Premium Cotton 4 Pack Bath Towel Set - 100% Pure Cotton - 4 Bath Towels 27x54 - Ideal for Everyday use - Ultra Soft & Highly Absorbent - Teal


assistant
Answer: C,D,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: 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: Hario Next 5-Cup Glass Syphon Coffee Maker with Silicone Handle
Product 2: Hario V60 Drip Coffee Scale and Timer

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 had a hard time finding this locally, as it's for an older vacuum.  Thankfully it was offered by KillDirt at a great price & free shipping.  I ordered one to make sure it fit in my vacuum.  Fits perfect so I ordered 2 more to keep on hand since it was hard to find.

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


assistant
Answer: A: very 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: scuderia ferrari watches for men
Product list:
A: Ferrari Men's 0830308 XX KERS Analog Display Japanese Quartz Red Watch
B: Ferrari Men's SPEEDRACER Stainless Steel Quartz Watch with Leather Calfskin Strap, Black, 22 (Model: 0830647)


assistant
Answer: A,B
Task: Query_Product_Rank

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


user 
Instruction: Rank the products A, B, C, ... based on their relevance to the provided query, and produce a ranked list with the most relevant product positioned at the top of the list.

Input:
Query: lounge dress for women loose fit
Product list:
A: 4361-116-3X Just Love Short Sleeve Nightgown / Sleep Dress for Women / Sleepwear,Black - Greatful
B: ETCYY NEW Lounge Sets for Women Sweatsuits Sets Two Piece Outfit Long Sleeve Pant Workout Athletic Tracksuits White


assistant
Answer: A,B
Task: Query_Product_Rank

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


user 
Instruction: 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: air force 1 shoes girls
Product list:
A: Nike Air Force 1 '07 Mens Sneakers Style# 315122 (12 Mens US, White/White)
B: Nike Force 1 (PS) - US 2.5Y White


assistant
Answer: B,A