JackyChunKit/Qwen3_SFT_Post huggingface dataset:
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: It's very cute, but it didn't work - you'd wind it up and it would just sit there, not moving, despite all sorts of prodding. I opened it up and managed to pry a metal coil away from the plastic casing, against which it seemed to be rubbing. It worked for a couple of weeks after that, but eventually went back to not working. Too bad...

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: stick to anything foam darts
Product list:
A: ZICOME 200 Pack Refill Darts Foam Bullets for Nerf War Gun Party, 10 Bright Multiple Colors
B: MTM AC4C Ammo Crate (4-Can) Brown, 30 caliber
C: Airlab 200pcs Darts Refill Foam Bullets Ammo for Nerf N-Strike Elite Blasters Gun, Blue


assistant
Answer: C,A,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: What is the relevance between the query and the product title below? Answer from one of the options.

Input:
Query: citizen an american lyric
Product: Typical Tragedies: A Book of Poetry

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: D: The product is irrelevant to the query.
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: I am looking for a mid-priced laptop (max budget 400) with at least two USB ports, low weight and a slim profile.
Product list:
A: OWC 14-Port Thunderbolt 3 Dock with Cable, Compatible with Windows PC and Mac, Space Gray, (OWCTB3DK14PSG)
B: Acer Aspire 5 Slim Laptop, 15.6 inches Full HD IPS Display, AMD Ryzen 3 3200U, Vega 3 Graphics, 4GB DDR4, 128GB SSD, Backlit Keyboard, Windows 10 in S Mode, A515-43-R19L, Silver


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: 55 in fire tv
Product list:
A: LG 55UN7300PUF Alexa Built-In UHD 73 Series 55" 4K Smart UHD TV (2020)
B: Insignia NS-50DF711SE21 50-inch 4K UHD TV - Fire TV Edition


assistant
Answer: A,B
Task: Product_Relation_Prediction

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


user 
Instruction: Given the title of two products, predict if the two products are similar, if the two products will be purchased or viewed together. Answer only from the options.

Input:
Product 1: Audicom Corded Call Center Headset Headphone with Mic for Avaya 1416 2420 5410 Aastra 6757i Mitel 5330 NEC Aspire DT300 DSX ShoreTel IP230 Polycom 335 and VVX310 400 Telephone IP Phones(H200STA)
Product 2: Wantek Wired Telephone RJ Headset with Flexible Noise Canceling Mic and Volume Mute Control for Aastra Shoretel Nortel Cisco E20 Polycom Digium Altigen Comdial &amp; Starleaf Office IP Phones(H110B003A)

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: 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: summer tops for women
Product: Next Level Apparel Women's Tear-Away Tank Top, Scarlet, X-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: 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: 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: classic waffle iron not belgian
Product list:
A: Cuisinart WAF-200 4-Slice Belgian Waffle Maker - Silver
B: HOMEJOY Belgian Waffle Maker, 4-Slice Classic Stainless Steel Anti-Overflow Waffle Iron with Temperature Control, Non-stick Plates, Compact Design, Indicator Lights, 1300W
C: All-Clad 2100046968 99010GT Stainless Steel Belgian Waffle Maker with 7 Browning Settings, 4-Square, Silver


assistant
Answer: A,C,B
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: oxyshred fat burner
Product: Weight Loss Pills for Women & Men | Hydroxycut Hardcore | Weight Loss Supplement Pills | Energy Pills to Lose Weight | Metabolism Booster for Weight Loss | Weightloss & Energy Supplements | 60 Pills


assistant
Answer: yes
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: 15.6&quot;Wide Privacy Filter Film (13.63x7.56 inch=345x194mm)-bulk packing to save your cost/direct from factory/check your screen size width and length
Product 2: 3M Privacy Filter for 17&quot; Widescreen Laptop (16:10) (PF170W1B)

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: 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: In recent years, no other portable shortwave radio has rated quite as high on the "neato" scale as the Grundig G2000A. This Grundig's two best design features are its Porsche-designed cosmetics and its handy leather carrying "case." These things alone are cool enough to inspire almost any shortwave listener to want one and have fun using it.
The radio's performance isn't quite as great as its beauty, however. For its small size, it performs fine with an external antenna, but less well with the aerial. Its sensitivity is decent, and selectivity is passable. But don't expect a listening experience on par with rivals within its price class ($100-$150). Bottom line is, you're paying more for the looks than anything else. If performance is what you desire, keep looking.
I give it less than four stars for several reasons. First, it fails to cover the entire shortwave spectrum from 1600 khz to 30 mhz. That's a big drawback among today's digital radios. Second, the keypad is awkward to use, even though it looks fabulous. Third, the software provides a measly 10 memory positions for shortwave, which is okay if you only listen to the major broadcasters.
Nevertheless, the G2000A is an aesthetically nice radio that's fun to operate for casual listening. For a novice listener, I'd recommend something simpler. If you're a more serious, demanding listener, you probably already have something else. I enjoy using it because it reminds me of my dad's old Zenith Royal 500E, which has a great leather case. I like this Grundig, but I'm glad it isn't my only one.

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: leather crafting celtic knots
Product list:
A: BIGTEDDY - 20PCs Leather Different Shape Stamp Punch Set Saddle Making Tools for Leather Craft Working Moon Flower Butteryfly Shape
B: Tandy Leather 3D Round Celtic Stamp 8537-00
C: Aleks Melnyk #63 Metal Stencil, Vegvisir Viking Compass, Celtic Symbols, Runes, Runic Wayfinder, Magick Sigil for Protection Stencil 1 PCS, Template for Painting, Wood Burning, Pyrography, Engraving


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

Input:
User Review: <a data-hook="product-link-linked" class="a-link-normal" href="/Moleskine-Kindle-DX-Cover-with-Reporter-Style-Notebook-Fits-9-7-Display-Latest-and-2nd-Generation-Kindles-Black/dp/8862935307/ref=cm_cr_arp_d_rvw_txt?ie=UTF8">Moleskine Kindle DX Cover with Reporter-Style Notebook (Fits 9.7" Display, Latest and 2nd Generation Kindles) Black</a>La funda Moleskine para el Kindle Dx es muy atractiva y agradable al tacto, pero desde mi punto de vista poco prctica.
Incluye un block de notas de gran tamao pero que tambin aade mucho peso (la verdad es que no lo pens cuando lo eleg). Incluye tambin un segundo bloque de recambio y no es difcil encontrar recambios originales, al menos en Espaa.
Su principal carencia es no disponer de ningn sistema para albergar un lpiz o un bolgrafo en su interior, lo cual es imprescindible si tenemos un block de notas. Con que podemos entonces escribir?.
Lo mejor sin duda es el forro interior de piel vuelta de una calidad visual y un tacto realmente exquisito.

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

Input:
User Review: They are a good weight, and I like the larger hand grips, but because of their shape the edges are already getting dented and a corner has broken off.  I now wish that I had ordered the round ones Amazon also has.

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


assistant
Answer: C: neutral
Task: Query_Product_Rank

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


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

Input:
Query: charred food
Product list:
A: Fischer & Wieser Specialty Foods Charred Bourbon Sauce, Pineapple, 15.75 Ounce
B: Purina ONE Large Breed Dog Food Natural Formula, SmartBlend - 40 lb. Bag


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: A nice little small radio that works well and and it took minimal effort to hook it up in our vehicle.

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: Please respond with yes if the product is a suitable substitute for the query, and no if it is not.

Input:
Query: bass pro shop shirt
Product: Columbia Men's PFG BahamaTM II Short Sleeve Shirt, Fossil, Medium


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: bliss flat iron for hair
Product list:
A: CHI Original Ceramic Hair Straightening Flat Iron | 1" Plates | Black | Professional Salon Model Hair Straightener | Includes Heat Protection Pad
B: BaBylissPRO BNT4093TUC Nano Titanium Vented Ionic Flat Iron, 1 1/2 Inch


assistant
Answer: B,A