JackyChunKit/Qwen3_SFT_Post huggingface dataset:
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: Edge Pro 220 Grit Medium Water Stone Mounted
Product 2: Edge Pro Stone Leveling Kit

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

Input:
User Review: Having purchased this mount for an application it wasn't really intended for, it's doing just what I needed.

I was looking for a way to wall mount a fairly hefty Polk Audio Monitor 40 to use as a center channel speaker for my HT sound system. Polk recommends these speakers be mounted at least 2' off the wall to keep from muffling the rear facing bass port and this mount fits the bill to a T for a heck of a lot less expense than the typical center channel speaker stands sell for ... Bonus!

BTW, these Polk Monitor 40s are essentially the same speaker as their purpose built center channel speakers for 1/2 the price as I got a pair of 'em for what Polk sells single center channel speakers, and .... got a 2nd one to use for the center channel for my BR system in the process. So long as you don't mind either standing them up as intended or that the Polk emblem ends up sideways when you lay 'em on their sides like I did, they make a great center channel speaker for a bargain price.

This did require some inventive modifying with my die grinder and a cut off wheel to cut away most of the mounting pad intended for attaching to various monitors/Tvs, then a lil touch up painting after the cutting but what I ended up with was just what I needed. The cable management already in place works just as well for speaker wire as it would have for an HDMI or similar video cable too.

Yeah, these are of Chinese manufacture, but I was unable to find a similar American made product, and let me assure you, I did try.  This is my second VideoSecu mount I've purchased as I have one for my 37" Tv in the BR and both mounts are well made, came with ample mounting hardware for many different applications and are very sturdily built with a great overall "fit and finish".

Hey, VideoSecu, you guys have a great potential for an awesome wall mount center channel speaker mount in this product by simply modifying the mounting pad to easily use it for this purpose as I did, are ya listening? Oh yeah, and I'll gladly accept any R&D/Marketing funds you'd like to send my way ;>)

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


assistant
Answer: A: very positive
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: Lew's Fishing American Heroes Speed Spool Baitcast Rod and Reel Combo, 7'/Medium Heavy/7.2 oz./120 yd./12 lb./6.4:1
Product 2: Lews Fishing Mach 1 Speed Spool Series Reel 31&quot; IPT, 7.1:1 Gear Ratio, 9+1 Bearings, Left Hand

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: 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: fairy lights without plug
Product list:
A: Aluan 50 LED Star String Lights 21FT+3.2FT Christmas Lights, USB & Battery Operated Waterproof Twinkle Fairy Lights with 8 Modes for Indoor Outdoor Home Garden Party Wedding Christmas Tree(Warm White)
B: MUMUXI 16 Pack Fairy Lights Battery Operated (Included) 10ft 30 LED Mini String Lights Waterproof Copper Wire Firefly Starry Lights for DIY Wedding Party Mason Jars Christmas Decorations, Warm White


assistant
Answer: 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: qaulity skirt bathing suits women
Product: MUMUBREAL Women One Piece Swimdress Tummy Control Swimsuits Ruched Monokini Swimwear Slimming Skirt Bathing Suit (Leopard, S)


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: leather upholstery drill
Product list:
A: Adam's Carpet Drill Brush - A Cleaning Tool Attachment For Scrubbing/Cleaning Carpet, Upholstery, Leather Seats & Chairs, Floor Mats, Trunk, Furniture, Interior Boat, RV & Car Accessories
B: Holikme 4Pack Drill Brush Power Scrubber Cleaning Brush Extended Long Attachment Set All Purpose Drill Scrub Brushes Kit for Grout, Floor, Tub, Shower, Tile, Bathroom and Kitchen Surface White


assistant
Answer: B,A
Task: Multiclass_Product_Classification

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


user 
Instruction: Evaluate the relevance between the query and product title, and choose the most accurate option from the given options.

Input:
Query: the big one gel memory foam side sleeper pillow
Product: Coop Home Goods - Premium Adjustable Loft Pillow - Cross-Cut Memory Foam Fill - Lulltra Washable Cover from Bamboo Derived Rayon - CertiPUR-US/GREENGUARD Gold Certified - Queen

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: Its nice to be able to ride a tricycle in the house that is not too big or not too small. The 4 year old enjoys going room to room and self taught himself how to maneuver the pedals. The price point is perfect because in 2 years he will have a bicycle with training wheels.

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 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: book club tatooist
Product list:
A: A Woman of War
B: The Tattooist


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: 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: With over 1,800 reviews, there is little I can add, but I will say a little about the product's construction.  We had one that just stopped working after about six years.  Considering what it cost and how much we used it, that seems a reasonable lifespan.  I took it apart to see if I might be able to fix it.  It quickly became evident that repair was impractical.  I imagine all appliances are now built that way.  Still, I was curious, so I destroyed it in order to see how it was built.  I was impressed.  It appears to have high-quality components, good stress-relief on wires, lots of blobs of hot glue on its two circuit boards to ensure that wires and components stay in place, and the electrics are well-protected from getting wet.  Breaking up the plastic housing required considerable time and effort, attesting to its durability.

Considering also that it makes a great cup of coffee, it will come as no surprise that I replaced it with another DCC-1200 (which appears identical).

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 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: teacher plaques with sayings personalized
Product list:
A: Primitives by Kathy 31127 Pinstriped Trimmed Box Sign, 8" x 3", A Good Day
B: Primitives by Kathy Classic Box Sign, Rule for Marriage


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: 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: So far so good..but the material is plastic and looks pretty cheap...

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


assistant
Answer: B: positive
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: AGPTEK Stainless Steel IP68 Waterproof LED Marine Underwater Light Boat Yacht light
Product 2: TH Marine LED-51868-DP Underwater Light, Green

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: 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: 4 x 4 shrink bands
Product list:
A: OULUCCI Stainless Steel Band Compatible Apple Watch Band 38mm 40mm Women Iwatch Series 5, Series 4, Series 3, Series 2 1 Accessories Metal Wristband X-Link Sport Strap (Rose Gold)
B: MORIDA 300 pcs 4X4 inch Small Heat Shrink Wrap Bags Tiny PVC Wrappers for Soaps,Cookies, and DIY Handmade Crafts, Food Safety Quality
C: 135 x 28 mm Clear Perforated Shrink Band for Glass Jars, Plastic Jars, Metal Tins and More. [Compatible Diameter Range: 3  3 1/4] - Bundle of 250


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: petite pops for phone
Product list:
A: Cell Phone Ring Holder for Hand, AOPETIO 360Rotation Phone Ring Stand & Grip, Universal Finger Ring Kickstand Compatible with iPhone Xs Max XR X 8 7 6 Plus, Galaxy S10e S10+ S9 Smartphones and More
B: LifeSky Yoga Pants for Women with Pockets High Waist Tummy Control Leggings 4 Way Stretch Soft Athletic Pants


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: 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: see through girdle
Product list:
A: ShaperQueen 102B THONG - Women Waist Cincher Girdle Tummy Slimmer Sexy Thong Panty Shapewear (XXL, White)
B: Vaslanda Mesh Underbust Corset Top See Through Fishnet Brocade Sheer Bustier Waist Cincher Lingerie with Garter Straps Black
C: TiaoBug Women's Sexy See-Through Soft Sheer Mesh Triangle Backless Wire-Free Unlined Bra Black X-Large(Bust:27.5-48.0"/70-120cm)


assistant
Answer: B,A,C
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: Determine the relevance between the query and the product title provided, and select your response from one of the available options.

Input:
Query: nature's bounty zinc
Product: Vitamin D by Natures Bounty for Immune Support. Vitamin D Provides Immune Support and Promotes Healthy Bones. 2000IU, 350 Softgels

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.