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: 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: 3m velcro hanging strips
Product list:
A: Command Picture Hanging Kit| 3m Damage-Free Strips & Level| 12-Pair Perfect for Hanging Small & Medium Frames, Pictures on Walls/Drywalls & More| No Nail Damage| Bundled with KangarooBand Bubble Level
B: Command Picture Hanging Kit| 3m Damage-Free Strips & Leveler| 16-Pair Small Strips| Perfect for Hanging Small Frames, Photos, Pictures on Walls/Drywalls| No Nail/Hook Damage (1)
C: Command 16 lb Large White Picture Hanging Strips, 6 pairs (12 strips), Indoor Use, Decorate Damage-Free (17206-6ES)


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.

Input:
Query: water faucet label
Product list:
A: in sink erator F-GN1100MBLK Contemporary Instant Hot Water Dispenser-Faucet Only, Matte Black
B: Ready Hot 41-RH-200-F560-CH Instant Hot Water Dispenser System, 2.5 Quarts, Manual Dial Dual Lever Hot and Cold Water Faucet Polished Chrome
C: Delta Faucet RP19659 Two Button Set for Clear Handles


assistant
Answer: B,A,C
Task: Sentiment_Analysis

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


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

Input:
User Review: This is the second blender of the same model that I have owned. Luckily, I bought it at Costco and was able to exchange the first one after it stopped working (just a couple weeks after purchasing it). So, I got the new one and I've had it for about a year and a half now but didn't use it for six months while I was in transit. I've since used it two times and tonight I heard a clunky piece moving around when I took it out of a cabinet. I unscrewed the bottom to find that the fan was completely detached. Til now, I thought it was just my luck with appliances (a Gevalia coffee maker died on me a couple of weeks ago), now I'm gonna start doing my research before buying. Thanks for everyone's reviews...its good to know what NOT to buy, no more Cuisinart for me.

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


assistant
Answer: E: very negative
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: necklace sets for women sterling silver with bracelets
Product list:
A: Sterling Silver Mom and Me Double Heart Bracelet Set for Mom and Daughter (Set-MED)
B: Amazon Collection Sterling Silver Cubic Zirconia Halo Pendant Necklace and Stud Earrings Jewelry Set
C: Bling Bling NY Women's Real Solid 925 Sterling Silver XOXO Stampato Hugs & Kisses Necklace and Bracelet Set Love Hearts Friendship and Relationship Set (Gold Tone, Tri Tone) (Gold Tone)


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: 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: trashers peppa pig
Product list:
A: UONQD Woman Shirts t Shirt Mens tee for Men Funny White Cotton Design Men's Denim Cheap Online Cool Casual Shop Fitted Long Custom Short Sleeve Black Gents (X-Large,Gray)
B: Thrasher Magazine Flame Logo T-Shirt - Medium- Black


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 this at my local IKEA store vs here. For the price, I don't think you'll find a better pan (all things considered equal). This suited my needs simply because I'm trying to replace cookware that is nonstick with stainless steel.

The only con I can find is that the rack sits relatively low to the bottom of the pan compared to other racks out there. My solution to this is to simply flip the rack. While this pushes the rack position much higher, you won't have to worry about your food getting soaked in the drippings. You may want to consider adjusting your oven rack to account for proper spacing.

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: hersey kisses blue
Product: HERSHEY'S, KISSES, Silver Foils, Milk Chocolate, Candy, Christmas, 66.7 oz, Bulk Bag, 400 Pieces


assistant
Answer: yes
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: Love the idea but the honey is dripping out into the glass Dispenser. Might send it back....  :(

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: 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: octupus reversed plushie pink and blue
Product list:
A: TeeTurtle | The Original Reversible Fox Plushie | Patented Design | Tie-Dye | Show Your Mood Without Saying a Word!
B: Athoinsu Pink Stuffed Unicorn Soft Plush Toy with Rainbow Horn Wings Birthday for Toddlers Girls, 15.5''
C: TeeTurtle | The Original Reversible Axolotl Plushie | Patented Design | Sensory Fidget Toy for Stress Relief | Purple + Black | Happy + Angry | Show Your Mood Without Saying a Word!


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 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: 300cc motorcycle
Product list:
A: XtremepowerUS 62035 Industrial 15HP 4-Stroke Gas Horizontal OHV Grade Gasoline Recoil Start GoKart Log Splitter Lifan Engine EPA Carb, Black
B: Massimo Motor MB200 196CC Engine Super Size Mini Moto Trail Bike MX Street for Kids and Adults Wide Tires Motorcycle Powersport CARB Approved (Camo)
C: X-PRO 200 ATV Quad 4 Wheelers Utility ATV Full Size ATV Quad Adult ATVs Big Youth ATVs for Sale(Black)


assistant
Answer: B,A,C
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: Given a query and a product, identify if the product is somewhat relevant to the query. It fails to fulfill some aspects of the query but the product can be used as a functional substitute. Only output yes or no.

Input:
Query: cranberry faux flowers
Product: Ling's moment Luxury Burgundy Artificial Flowers Box Set for DIY Wedding Bouquets Centerpieces Arrangements Party Baby Shower Home Decorations


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: 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: hammer 2 ball tote bowling bag
Product list:
A: Hammer Premium Double Tote Bowling Bag, Black/Carbon
B: Hammer Premium Triple Tote Bowling Bag, Black/Carbon
C: SaVi Black Single Bowling Bag- 1 Bowling Ball Single Tote w/Adjustable Shoulder Strap- Fits Single Pair of Women's Bowling Shoes up to Size 11


assistant
Answer: A,B,C
Task: Sentiment_Analysis

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


user 
Instruction: 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: Never having seen a card deck shuffler before, I was disappointed that these&nbsp;<a data-hook="product-link-linked" class="a-link-normal" href="/Bicycle-1-2-Deck-Card-Shuffler/dp/B0006ZJPV4/ref=cm_cr_arp_d_rvw_txt?ie=UTF8">Bicycle 1-2 Deck Card Shuffler</a>&nbsp;require lots of hands-on "help" while the little spinner pulls the cards in.  Sometimes they go in chunks so we have to shuffle many times.  I was greatly disappointed that 1 of the 3 identical shufflers that I purchased doesn't work at all and has to be returned.

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


assistant
Answer: D: negative
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 received it with three other items. The package of this item was a bit decayed and damaged. Inside wrapping was opened and appear to be "used" (this was advertised as "new"). Other items are just as expected.

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


assistant
Answer: D: negative
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: winter scarf and hat for women
Product list:
A: Women's Warm Polyester Fleece Winter Set Fur Trim - Glove Hat and Scarf Set for Women - One Size (Ivory)
B: LCZTN Womens Pom Beanie Hat Scarf Set Girls Cute Winter Ski Hat Slouchy Knit Skull Cap with Fleece Lined


assistant
Answer: B,A
Task: Sentiment_Analysis

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


user 
Instruction: Carefully assess the user's review for any strong expressions of sentiment, either positive or negative. Based on your analysis, select the most fitting sentiment option from the provided list as output.

Input:
User Review: Good surge protector for the price.  Outlets are not too close to each other.  Seams sturdy.  The labels such as "VCR" or "TV/SAT" are completely unnecessary but they don't hurt anything.

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


assistant
Answer: A: very positive
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: szkani high waisted yoga shorts
Product: CADMUS Women's Spandex Volleyball Shorts 3" Workout Pro Shorts,Black & Grey & Wine Red,XX-Large

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: A: The product is relevant to the query, and satisfies all the query specifications.
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: dolce gabbana ove is love for women
Product list:
A: Dolce & Gabbana Light Blue Love is Love for Women Eau De Toilette Spray 100ml/3.3oz ((New 2020 Launch)
B: Dolce & Gabbana Light Blue By Dolce & Gabbana For Women. Refreshing Body Cream 6.7 Oz.


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: 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: 1 picture frames 16x20 without mat
Product list:
A: 12x16 Rustic Picture Frames Solid Wood Display Pictures 11x14 or 8.5x11 Diplomas with Mat or 12x16 without Mat, Farmhouse Distressed Brown Wooden Picture Frame for Wall Mounting or Table Top Display
B: IkaLede 12x16 Rustic Picture Frames Display 11x14 Pictures with Mat or 12x16 Photos without Mat Solid Wood Grain Picture Frames Wall Art for Living Room Wall Mounting Decor


assistant
Answer: A,B