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.

Query: 8 speed shifter drop bar right
Product list:
A: microSHIFT R8 1 x 8-Speed Drop Bar Lever Set, Shimano Compatible, Black
B: Shimano Alfine RAPIDFIRE-plus Bicycle Shift Lever - SL-S503 (Silver)
C: Diamondback Bicycles Octane 24 Youth 24" Wheel Mountain Bike, orange

Customer Belief: Customer believes: (1) The product must be an 8-speed shifter. (2) The product should be compatible with drop bars. (3) The product is specifically for the right side. (4) Shimano compatibility is a critical factor.
Customer Desire: Customer desires: (1) Order (need for a precise match to their setup). (2) Power (need for control over gear shifting). (3) Independence (need to self-maintain/upgrade their bike). (4) Curiosity (need to confirm product specifications).
Customer Intention: Customer intends: (1) Prioritize products explicitly labeled as 8-speed. (2) Filter for drop bar compatibility. (3) Ensure the product is designed for the right side. (4) Verify Shimano compatibility.


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 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.

Query: nighttime face moisturizer for acne
Product list:
A: LilyAna Naturals Face Moisturizer - Made in USA, Face Cream for Women AND Men, Anti-Aging Wrinkle Cream for Face, Helps With Dry Skin and Dark Spot Brightening, Rose and Pomegranate Extracts - 1.7oz
B: La Roche-Posay Toleriane Double Repair Face Moisturizer, Daily Moisturizer Face Cream with Ceramide and Niacinamide for All Skin Types, Oil Free, Fragrance Free

Customer Belief: Customer believes: (1) nighttime moisturizers are important for acne-prone skin, (2) products labeled as non-comedogenic are better for acne, (3) ingredients like niacinamide or ceramides may help acne, (4) fragrance-free formulas are gentler for sensitive or acne-prone skin.
Customer Desire: Customer desires: (1) Tranquility (need for security/protection from acne worsening), (2) Curiosity (need to identify the most suitable product), (3) Order (need for a clear ranking system), (4) Independence (need to make an informed choice).
Customer Intention: Customer intends: (1) evaluate product claims against acne-related needs, (2) prioritize non-comedogenic labeling, (3) assess ingredient compatibility with acne, (4) rank products by relevance to nighttime acne care.


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.

Query: a man without words
Product list:
A: A Man Without Words
B: The Man Without Qualities, Vol. 2: Into the Millennium
C: Can Man Live Without God

Customer Belief: Customer believes: (1) The exact title match 'A Man Without Words' (Product A) is most relevant. (2) 'The Man Without Qualities, Vol. 2' (Product B) shares the phrase 'Man Without' but differs in subtitle. (3) 'Can Man Live Without God' (Product C) includes 'Man' and 'Without' but diverges thematically. (4) The query may prioritize literal title matches over thematic similarities.
Customer Desire: Customer desires: (1) Curiosity (to identify the most knowledge-aligned product). (2) Order (to systematically rank relevance). (3) Power (to assert control over decision-making). (4) Social status (to validate their selection as logically sound).
Customer Intention: Customer intends: (1) Prioritize exact title matches. (2) Compare partial keyword overlaps. (3) Evaluate thematic divergence. (4) Sort products based on cumulative relevance criteria.


assistant

Answer: A,C,B
Task: Query_Product_Rank


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


user
Instruction: Evaluate 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.

Query: red dead redemption 2 xbox one
Product list:
A: Xbox One S 1TB NBA 2K19 Red Dead Bonus Bundle: Red Dead Redemption 2, NBA 2K19 Game, Xbox One S 1TB Console, Xbox Wireless Controller, Choose Your Favorite Game
B: The Outer Worlds Xbox One

Customer Belief: 1. Customer believes 'red dead redemption 2 xbox one' refers to a specific game (Red Dead Redemption 2) playable on Xbox One. 2. Customer believes Product A explicitly includes Red Dead Redemption 2. 3. Customer believes Xbox One S 1TB Console in Product A is compatible with the game. 4. Customer believes Product B (The Outer Worlds Xbox One) does not mention Red Dead Redemption 2.
Customer Desire: 1. Customer desires to acquire Red Dead Redemption 2 (Curiosity - need to gain knowledge/confirm product relevance). 2. Customer desires a product that enhances social status (Social Status - owning a popular/bundled product). 3. Customer desires order and clarity (Order - preference for a complete, labeled bundle). 4. Customer desires value optimization (Saving - interest in bundled items like extra games/accessories).
Customer Intention: 1. Customer intends to prioritize products explicitly listing Red Dead Redemption 2. 2. Customer intends to verify Xbox One compatibility. 3. Customer intends to compare bundle value (e.g., extra games/console inclusion). 4. Customer intends to exclude products unrelated to Red Dead Redemption 2.


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.

Query: hot dots phonics
Product list:
A: Educational Insights Hot Dots Jr. Getting Ready For School Set with Interactive Pen, Reading & Math Workbooks, 160 Lessons for Homeschool & Classroom, Ages 3+
B: Educational Insights Hot Dots Laugh It Up! Spelling Set- Grades 1-3

Customer Belief: Customer believes: (1) 'Hot Dots' refers to a specific educational product line. (2) Phonics is a critical component of early reading development. (3) Products explicitly mentioning phonics or reading fundamentals are more relevant. (4) Age appropriateness (e.g., Ages 3+) aligns with early phonics learning.
Customer Desire: Customer desires: (1) Curiosity (to gain knowledge about phonics tools). (2) Family (to support their child's educational growth). (3) Order (structured learning materials for preparedness). (4) Social status (choosing reputable educational brands).
Customer Intention: Customer intends: (1) Prioritize products explicitly mentioning phonics. (2) Favor products targeting foundational reading skills. (3) Select age-appropriate materials for early learners. (4) Choose comprehensive sets with interactive tools.


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: 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.

Query: hair dye for dark hair without bleach
Product list:
A: L'Oreal Paris Hyper Platinum Advanced Lightening System Hair Bleach With Anti Brass Purple Conditioner, 4.3 Ounce
B: Hair Coloring Dye Mild Safe Hair Dyeing Shampoo, Long Lasting Effect without Using Bleach not Easily Fade, DIY Fashion Hair Dye Permanent for Men and Women (White)

Customer Belief: Customer believes: 1) Bleach is damaging to hair (Belief). 2) Products labeled 'without bleach' are safer (Belief). 3) Dark hair requires specific dye formulations (Belief). 4) Permanent dyes provide longer-lasting results (Belief).
Customer Desire: Customer desires: 1) Independence (to dye hair without relying on harsh chemicals like bleach) (Desire). 2) Tranquility (to avoid hair damage and ensure safety) (Desire). 3) Social status (to maintain fashionable hair color) (Desire). 4) Curiosity (to find a product that effectively works on dark hair) (Desire).
Customer Intention: Customer intends: 1) Prioritize products explicitly stating 'without bleach' (Intention). 2) Select dyes marketed as safe/mild (Intention). 3) Choose permanent formulas for longevity (Intention). 4) Verify compatibility with dark hair (Intention).


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.

Query: holly golightly earrings
Product list:
A: Utopiat Audrey Style Silk Sleep Eye Mask in Turquoise Blue Woman Inspired by The Movie Breakfast at Tiffany
B: Lavender Dangle Statement Tassel Drop Earrings Long Fringe Violet Fashion Halloween Party Costume Silk Earrings - Breakfast at Tiffanys Sleep Set
C: KLFrogPond Boho Thread Long Tassel Dangle Drop Colorful Fringe Earrings Silk Fabric Ethnic Vintage Charms Eardrop (Light Purple)

Customer Belief: Customer believes: (1) Holly Golightly is a character from *Breakfast at Tiffany's* associated with iconic earrings. (2) The earrings should reflect the elegant, vintage style of the movie. (3) Products explicitly referencing *Breakfast at Tiffany's* are more relevant. (4) The term 'tassel' or 'dangle' in product titles aligns with Holly Golightly's earring style.
Customer Desire: Customer desires: (1) **Social status** (to emulate Holly Golightly's iconic style). (2) **Curiosity** (to find earrings authentically tied to the movie). (3) **Idealism** (to connect with the movie’s aesthetic). (4) **Order** (to prioritize products matching specific criteria like movie references and style).
Customer Intention: Customer intends: (1) Prioritize products with direct *Breakfast at Tiffany's* references. (2) Filter for earrings over non-earring items. (3) Favor 'tassel' or 'dangle' designs. (4) Exclude products lacking stylistic alignment.


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.

Query: sweetheart neckline dress
Product list:
A: Wedding Bridal Party Gear Bride Tribe Women's Top Blouse Navy Blue Size M
B: Calvin Klein Women's Shoulder Cut Out Sheath Dress with Sweetheart Neckline, Rosewood, 12
C: Yobecho Womens Summer Ruffle Sleeve Sweetheart Neckline Printing Dress Mini Dress Brick Red

Customer Belief: Customer believes: (1) a sweetheart neckline is a key feature in the desired dress, (2) product titles explicitly mentioning 'sweetheart neckline' are more relevant, (3) non-dress products (e.g., tops) are irrelevant to the query, (4) secondary features (e.g., color, brand) are less important than the neckline design.
Customer Desire: Customer desires: (1) Curiosity - to identify products matching the specific neckline; (2) Order - to organize results clearly; (3) Social status - to select a stylish dress; (4) Independence - to make a confident choice without ambiguity.
Customer Intention: Customer intends: (1) Prioritize products with 'sweetheart neckline' in the title; (2) Exclude non-dress items; (3) Compare additional features (e.g., sleeve style, dress type) for tie-breaking; (4) Rank results by relevance to the query.


assistant

Answer: B,C,A
Task: Query_Product_Rank


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


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

Query: tank tops 2-t
Product list:
A: Hanes Boys' Tank, White, Large
B: SWNONE Baby Boys Clothing Shirt Tank Top Sleeveless T-Shirt Letter Print Blouse Shirt Summer Clothes (Blue, 3-4 T)
C: Newborn Infant Baby Boys Grid Short Sleeve Top + Short Pants+ Tie Gentleman Outfits Suits (Green, 2-3 T)

Customer Belief: Customer believes: (1) The query 'tank tops 2-t' refers to toddler-sized (2T) sleeveless tops. (2) The product must explicitly mention 'tank top' in the description. (3) Size accuracy (e.g., 2T) is critical. (4) The product should be suitable for summer wear.
Customer Desire: Customer desires: (1) Order (need for precise product type and size alignment). (2) Family (need to provide appropriate clothing for their child). (3) Independence (need to confidently select the correct product). (4) Tranquility (need to avoid returns due to mismatched expectations).
Customer Intention: Customer intends: (1) Prioritize products labeled as 'tank tops'. (2) Filter products by size '2T' or closest equivalent. (3) Verify the product is for boys (implied by query context). (4) Ensure the product is summer-appropriate.


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.

Query: girly les stream lights
Product list:
A: 3D Print Art Wallpaper Mural Murals Door Sticker, Mountain Stream and Shaft Beam of Light, Removable Door Wall Mural Door Wallpaper for Home Decorative W15 x H78.7 Inch
B: Curtain Lights 300 LED Wall Fairy Lights 9.8Ftx9.8Ft USB Remote Powered String Lights IP64 Waterproof Window Room Bedroom Wedding Christmas LED Waterfall Decorations Lights

Customer Belief: Customer believes: 1) 'girly les stream lights' refers to decorative lights with a feminine aesthetic and flowing/waterfall-like design. 2) 'stream lights' implies a continuous or cascading light pattern. 3) The product should be suitable for spaces like bedrooms or events. 4) LED lights are preferred for energy efficiency and brightness.
Customer Desire: Customer desires: 1) Social status (Desire 14) - to create a visually appealing, stylish space. 2) Romance (Desire 11) - to establish a cozy, aesthetically pleasing atmosphere. 3) Order (Desire 8) - to decorate a space with organized, visually harmonious lighting. 4) Curiosity (Desire 2) - to identify the most suitable product for their needs.
Customer Intention: Customer intends: 1) Prioritize products explicitly labeled as decorative lights. 2) Filter for terms like 'girly,' 'fairy,' or 'waterfall' in product titles. 3) Compare features like LED count, waterproofing, and installation ease. 4) Rank products based on alignment with 'stream' (flowing/cascading) aesthetics.


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.

Query: womens srawcowboy hat
Product list:
A: Men's & Women's Western Style Cowboy/Cowgirl Toyo Straw Hat (Tea Stain-Turquoise/Beads)
B: MITILLY Women's V Neck Ruffle Polka Dot Pocket Loose Swing Casual Short T-Shirt Dress Small Brown

Customer Belief: 1. Customer believes they need a 'women's straw cowboy hat' (correcting the typo 'srawcowboy'). (Belief)
2. Customer believes Product A includes 'straw' material and 'cowboy/cowgirl' design, aligning with the query. (Belief)
3. Customer believes Product B is a dress, unrelated to hats. (Belief)
4. Customer believes gender-specificity ('women's') is critical for relevance. (Belief)
Customer Desire: 1. Customer desires **Order** (Reiss’s #8) to find a product matching the structured query. (Desire)
2. Customer desires **Social Status** (Reiss’s #14) to select a fashionable, culturally relevant item. (Desire)
3. Customer desires **Curiosity** (Reiss’s #2) to ensure accurate product alignment with the query. (Desire)
4. Customer desires **Independence** (Reiss’s #7) to make a confident, self-reliant choice. (Desire)
Customer Intention: 1. Customer intends to prioritize Product A due to its explicit 'straw cowboy hat' description. (Intention)
2. Customer intends to deprioritize Product B as it is a dress, not a hat. (Intention)
3. Customer intends to validate gender specificity ('women's') in Product A. (Intention)
4. Customer intends to rank products based on keyword overlap with the query. (Intention)


assistant

Answer: A,B