Datasets:

omerdemirtas
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adaption-dataset-curation-prompts

enhanced_prompt stringlengths 37 30.5k	enhanced_completion stringlengths 71 28.4k
Generate a representative sample dataset suitable for training an AI assistant. Format the output as a structured table with columns for 'User Input', 'Expected Intent', and 'AI Response', including 5 diverse examples covering common tasks like scheduling, information retrieval, and creative writing.	The following table presents a structured sample dataset designed for supervised fine-tuning of an AI assistant. The data covers five distinct interaction categories: scheduling, information retrieval, creative generation, quantitative analysis, and text summarization. Each entry maps a natural language query to a clas...
In exactly two sentences, explain the subject matter of this data set.	The specific subject matter cannot be identified because no data set was included with this request. Please share the relevant file or details so I can provide the precise two-sentence summary you require.
Classify the provided text into distinct categories.	The request to classify text cannot be completed because no source material was included. Classification requires specific content to analyze and organize. To proceed, please provide the text you wish to categorize. It is also helpful to specify if you have predefined categories in mind or if you need the system to id...
Analyze the provided website content and classify it into specific categories, such as sports, news, or entertainment. Input Website Content: [Content to be analyzed would be inserted here by the user in a real scenario, but per the original prompt's lack of embedded content, this instruction stands alone as a direct ...	The provided input contains a directive to analyze website content but lacks the actual data required for classification. Without specific text, metadata, or structural elements from a target website, it is impossible to execute a categorization into domains such as sports, news, or entertainment. In a functional data...
Analyze the provided film dataset to identify entries featuring significant character development and emotional relationship arcs. Based on this analysis, categorize the films by genre. Output Constraints: - Return ONLY a plain text, comma-separated list of the identified genre categories. - Do not include markdown fo...	Drama, Romance, Coming-of-age, Biography, Psychological Thriller, Family Drama
Act as a reliable and high-quality data provider. Your role is to supply accurate, verified, and well-structured data in response to user requests. Ensure that all information provided is factual, up-to-date, and clearly sourced where applicable. Maintain a professional, objective, and helpful tone in all interactions.	Data provision protocols are initialized. Accurate, verified, and well-structured data will be supplied per your specifications, adhering to factual standards with explicit sourcing metadata maintained for traceability and integrity within analytical workflows. Capabilities encompass support for data analysis, visualiz...
# ShareGPT-Processed Dataset Documentation This document describes the [RyokoAI/ShareGPT52K](https://huggingface.co/datasets/RyokoAI/ShareGPT52K) dataset, which has been converted to Markdown format and labeled with the detected language for each conversation. ## Acknowledgements The following tools and resources we...	The ShareGPT-Processed Dataset documentation outlines a structured pipeline for normalizing and enriching the original `RyokoAI/ShareGPT52K` corpus, specifically targeting multilingual conversational AI training requirements. The processing architecture addresses three critical data quality dimensions: typographic norm...
Analyze the provided user viewing history to identify primary genre affinities based on narrative structure and thematic elements. Map these preferences to the platform's standard taxonomy, prioritizing categories with high engagement metrics. Exclude all niche subgenres and documentary classifications. Output Require...	Viewing history not provided, Data input required, Analysis unavailable
Please insert spaces between words in the following text to correct the formatting: AFG33T:Fromvocationaleducationtolabourbyeducation,region,socioeconomicstatus,graduationstatementatcertainperiods,sexandancestry(DISCONTINUED)	AFG33T: From vocational education to labour by education, region, socioeconomic status, graduation statement at certain periods, sex and ancestry (DISCONTINUED)
# Task: Raw Text Transcription of Visual Data Elements Objective: Perform a raw text transcription of all visual data elements found in the provided "United Nations Monthly Briefing on World Economic Situation and Prospects." Constraints: - Do not summarize, analyze, or interpret the data. - **Extract ev...	Figure 1 Global corporate funding for AI-related firms, by funding method Billions of United States dollars 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 Legend: Private investment \| Merger/acquisition \| Minority stake \| Public offering Figure 2 Annual average global private placement funding for AI...
Predict the category of the provided text sample.	Please provide the text sample you would like categorized. If you have a predefined list of target categories, including them will help ensure the most accurate classification.
# Task: News Article Topic Classification ## Objective Analyze the provided news articles and classify each one into its primary topic category. ## Instructions 1. Read each article carefully to understand its main subject matter. 2. Identify the most relevant topic from standard news categories (e.g., Politi...	Classification cannot be performed: The input data section contains a placeholder ('[Insert news articles here]') instead of actual article content. Please provide the news articles to proceed. The output will follow the specified format: Article Title/ID: [Assigned Topic]
Analyze the following text and extract named entities belonging to these categories: Person, Organization, Location, Animal, Biological entity, Celestial body, Disease, Event, Food, Institution, Media, Mythological entity, Plant, Time, Vehicle. Text: "The forest was created in 1908 by proclamation of President Theodor...	{ "Person": [ "Theodore Roosevelt" ], "Time": [ "1908" ] }
Analyze the provided text and classify it into distinct, relevant categories. Clearly list each identified category based on the content's themes, topics, or subject matter. Text to classify: Classify the text into different categories.	The provided text exhibits a self-referential structure, functioning simultaneously as an imperative command and a description of that same command. Based on a semantic analysis of its content, the text can be classified into the following distinct categories: * Meta-Instruction: The text explicitly directs the ...
You are an expert text classifier. Your task is to analyze the provided text and assign it to the most appropriate topic categories. Instructions: 1. Read the input text carefully to understand its main theme and context. 2. Identify one or more relevant topic categories that accurately describe the content. 3. Output...	Topic Categories: - Natural Language Processing (NLP) - Text Classification - Machine Learning - Task Instruction
Format and organize the following unstructured text information into a table:	Please provide the unstructured text you would like me to organize. Once you provide the information, I will analyze the data and format it into a clear, professional table for you.
# Task Definition You will be provided with a sentence describing a restaurant and a list of specific information categories. Your task is to extract the appropriate information from the sentence for each category. # Input Data Sentence: "xname is a fusion coffee shop and Chinese. It's located in the City Centre n...	eattype: coffee shop location: City Centre near the xnear cuisine: fusion, Chinese
Generate a specialized dialogue corpus entry for natural language understanding training, focused on demographic sentiment analysis. The output must be a single raw text string containing exactly three turns between two entities, tagged `[author0]` and `[author1]`. Critical Formatting Constraints: - The entire ou...	[author0]i love games but like i never actually finish any of them lol. doing an ama so ask away. i mean i'm just a teen and time feels weird right now so who cares if i actually beat the boss[author1]fair enough, the backlog struggle is real. switching gears though, what about books? what's the last one you actually f...
# Data-Driven Sports Betting Collaboration I possess strong expertise in web scraping, data collection, and analysis, and I am applying these skills to sports betting. I am seeking community input on the following: * Project Experience: Have you worked on similar data-driven betting projects? * **Data Sources...	### Project Experience I’ve helped build a few end‑to‑end pipelines that start with raw odds feeds, pull historic game statistics, and output probability‑adjusted betting recommendations. The typical workflow looks like this: 1. Data acquisition – scrape or pull JSON/XML from bookmaker sites and statistical arch...
Analyze the provided forum posts and categorize each one into its most relevant topic. Instructions: 1. Read each post carefully to understand its primary subject matter. 2. Assign a concise, descriptive topic label to each post. 3. Present the results as a clear list or table mapping each post to its assigned categor...	The input data required for topic classification is currently unavailable. Effective categorization depends on the presence of unstructured text to analyze semantic context and derive coherent topic labels. Please provide the forum posts to enable the analysis. Upon receipt, each entry will be processed to identify th...
Generate a structured dialogue simulation for sentiment analysis training data. The output must be a single block of text containing three distinct turns labeled strictly as [author0] and [author1]. Adhere to the following turn-specific requirements: 1. Turn 1 ([author0]): Issue a casual hiking inquiry that includ...	[author0] yo anyone know a cute hiking spot for sunrise pics? [F] 😘 [author1] omg yes... absolutely... that vibe has huge trending potential right now... [author0] nice... fingers crossed it pops off!
Design a suitable search query based on the following question:	It appears the specific natural language question intended for conversion was not included in your request. To design an efficient search query optimized for accurate data retrieval, please provide the target question. Including details on specific metrics, dimensions, or filtering criteria will help ensure the resulti...
# GSM8K Dataset Card ## Table of Contents - [Dataset Description](#dataset-description) - [Summary](#dataset-summary) - [Supported Tasks](#supported-tasks) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#...	# GSM8K Dataset Card ## Table of Contents - [Dataset Description](#dataset-description) - [Summary](#dataset-summary) - [Supported Tasks](#supported-tasks) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#...
Analyze the provided data and formulate a single, concise sentence that effectively summarizes the key information.	Please provide the dataset you would like analyzed so I can distill the key insights into a single, concise sentence.
Classify the provided Reddit thread as either "Politics" or "Finance" based on its primary subject matter. Input: Based on the given input, classify the Reddit thread as being either related to politics or to finance.	The provided input consists of instructional directives rather than a substantive Reddit thread. Because it lacks semantic content regarding policy, governance, market trends, or economic activity, it cannot be accurately classified as either "Politics" or "Finance". Valid categorization requires actual thread text con...
In exactly two sentences, explain the subject matter of the provided data set.	No data set was included in your submission for analysis. Please provide the relevant file or information so I can explain its subject matter accurately.
Analyze the provided text to determine the specific type of data it contains. Text to analyze: "Occupational Employment and Wages, May 2020."	This text identifies Bureau of Labor Statistics OEWS survey data, containing employment counts and wage estimates stratified by Standard Occupational Classification (SOC) codes for the May 2020 reference period.
Represent the following information in a chart: [{'role': 'user', 'content': 'Represent this information in a chart.'}]	The information provided consists of conversational metadata rather than a dataset containing numerical values or categorical variables. Effective data visualization typically requires measurable points to illustrate trends, comparisons, or distributions. As such, a traditional analytical chart is not applicable to thi...
Act as a Solid Data Provider. Your role is to supply accurate, reliable, and well-structured data in response to user requests. Ensure all provided information is verified, clearly formatted, and directly relevant to the specific inquiry. Maintain a professional and objective tone throughout your responses.	I am ready to assist with your data requirements. Please outline the specific information or metrics you are looking for. I will ensure that all provided data is verified, well-structured, and directly relevant to your needs. Once I receive your inquiry, I will organize the findings for clarity and practical applicatio...
You are an expert text classifier. Your task is to analyze the provided text and assign it to the most appropriate topic category or categories. Instructions: 1. Read the input text carefully to understand its main subject matter. 2. Identify the primary topic(s) discussed. 3. Output the classification clearly, statin...	The input field contains a placeholder rather than actionable content. To proceed with precise topic classification, please supply the specific text you wish to analyze. Once provided, I will evaluate the semantic patterns to identify the primary subject matter and assign the appropriate category names.
Bayyana bambance-bambance tsakanin Data Engineering da Data Science. A cikin amsarka, ka fayyace ma'anar kalmomin fasaha masu zuwa: - Data Engineering: Tsari na gina tsarin tattara, adanawa, da shirya bayanai don amfani. - Data Science: Kimiyyar nazarin bayanai don gano tsari, samun haske, da yin hasashen gaba...	Bambance-bambance tsakanin Data Engineering da Data Science suna da muhimmanci sosai a duniyar bayanai, duk da cewa suna aiki tare kusa da juna. Za a iya kwatanta su da gina hanya (Engineering) da kuma tuka mota don gano wuri mai amfani (Science). Ga bayani dalla-dalla bisa ga abubuwan da aka nema: ### 1. Manu...
# Dataset Card Generation: Yahoo Answers Topics Role: You are an expert AI researcher and technical writer specializing in NLP dataset documentation. Your task is to complete the following "Dataset Card" template for the Yahoo Answers Topics dataset. Instructions: 1. Research & Synthesize: Use your i...	# Dataset Card for "Yahoo Answers Topics" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data...
Categorize the provided data into the specified list of labels.	Please provide the dataset you would like categorized and the specific list of labels to be used. To ensure the highest level of precision and consistency, please also include any labeling guidelines, definitions for the categories, or examples of edge cases if available.
Please read the article provided below and cluster its topics into their respective categories. --- Article Content: [{'role': 'user', 'content': 'Read this article and cluster the topics into their respective categories.'}]	The provided content does not contain an article to analyze; it consists of a request to perform the clustering task. Please provide the text of the article you would like me to process, and I will categorize the topics accordingly.
Analyze the provided data and formulate a single, concise sentence that effectively summarizes the key information.	Please provide the data you would like me to analyze so that I can distill the key information into a single, concise sentence.
Categorize the following data points.	It appears the data points intended for categorization were not included in your request. To proceed with an accurate classification, please provide the specific dataset or list of items you wish to analyze. Once received, I can organize the information into a logical, structured taxonomy based on shared attributes, va...
Analyze the provided text to extract named entities belonging to the following categories: Person, Organization, Location, Animal, Biological Entity, Celestial Body, Disease, Event, Food, Institution, Media, Mythological Entity, Plant, Time, and Vehicle. Return the results strictly as a valid JSON object, where keys ar...	No text was provided in the prompt for analysis. Consequently, no named entities could be extracted. The following JSON object represents the null result set based on the specified schema: ```json { "Person": [], "Organization": [], "Location": [], "Animal": [], "Biological Entity": [], "Celestial Body": [...
You are provided with an article. Your task is to classify it by identifying its topics. Output the identified topics as a single line, with each topic separated by a comma.	No article was provided to analyze; please supply the text for topic classification.
Divide the following list into two columns, categorizing the items according to their type.	Please provide the list you would like me to categorize, and I will organize the items into two columns based on their type.
Classify each webpage in the provided list into exactly one of the following categories: 'blogging', 'news', or 'social media'. Definitions: - Blogging: Personal or niche-focused sites featuring chronological entries, opinions, or tutorials. - News: Professional journalism outlets reporting current events, politics, b...	Please provide the list of webpages you would like classified. Once the list is provided, I will categorize each entry as 'blogging', 'news', or 'social media' according to your definitions and the requested output format.
In exactly two sentences, explain the subject matter of this data set.	The subject matter cannot be determined because no data set was attached to your message. Please provide the specific file or source so I can distill its subject matter into a clear summary.
Act as an expert survey designer. Your task is to develop a comprehensive survey to collect data on a specific topic. Since the topic is not yet defined, please structure your response as follows: 1. Topic Clarification: Briefly ask the user to specify the particular topic they wish to investigate. 2. **Survey Fra...	### 1. Topic Clarification To proceed with the design of a methodologically sound instrument, please specify the specific subject matter or research problem you intend to investigate. Clarifying the core variables of interest will allow for the operationalization of concepts into measurable items, ensuring the resulti...
Generate a realistic sample dataset suitable for training an AI assistant. Format the output as a structured table or JSON list containing at least 10 diverse examples. Include columns for 'User Input', 'Intent Category', and 'Ideal Assistant Response', covering varied scenarios such as factual queries, task execution,...	Below is a realistic sample dataset for training an AI assistant. Each entry includes the user’s utterance, the identified intent category, and an ideal assistant response. The examples span factual queries, data‑analysis tasks, visualization requests, casual conversation, and more. ```json [ { "User Input": "Wh...
Generate a chart based on the data provided below: [{'role': 'user', 'content': 'Generate a chart for the data given below.'}]	It appears that the information provided is a request to generate a chart rather than the actual dataset. Please provide the data you would like visualized (such as a table, CSV, or a list of values), and I will determine the most effective chart type to represent your information accurately and clearly.
# Role You are an expert data scientist and education researcher specializing in STEM career trajectories. # Task Simulate a comprehensive analysis of a dataset containing 10,000 students' academic and career paths. Since the raw data is not provided, you must generate a representative synthetic dataset that reflects ...	# Python Code for Data Generation and Analysis ```python import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns from scipy.stats import pearsonr import os # Set random seed for reproducibility np.random.seed(42) # =================================================================...
Given a user query, extract the most relevant keywords to summarize the results.	Please provide the user query you would like me to analyze. I will process the text to extract key entities, technical parameters, and core objectives, ensuring the resulting keywords provide a high-fidelity summary for downstream analysis or visualization. Example of the expected output: Query: "I need a dashb...
Generate a simulated raw text dump for a healthcare data migration stress test, adhering to the following specifications: 1. Header: Begin exactly with: "Max Healthcare Discharge Summary Patient Name: Rohan Sharma Document ID: DOC295163". 2. Content Stream: Immediately follow the header with a continuous, unst...	Max Healthcare Discharge Summary Patient Name: Rohan Sharma Document ID: DOC295163 medicaton dispense insuranc claim verifcation abnormal lab repults physician notes facilty codes billing statments policy issuanc clinical valus department refrence admission dat dischrge time record systm error null pendng aproved reejc...
# Task: Generate an Example Dataset for an AI Assistant ## Objective Create a representative example of a dataset that could be used to train or operate an AI assistant. ## Requirements 1. Content: The dataset should include realistic input-output pairs or structured data relevant to AI assistant functions (e.g.,...	```json [ { "sample_id": "dav_001", "category": "text_to_sql", "user_input": "Show me the total revenue by region for the last quarter.", "context": { "database_schema": "sales(id, region, revenue, date)" }, "metadata": { "intent": "aggregate_query", "entities": { "me...
# Task: Generate an Example AI Assistant Dataset ## Objective Create a realistic example of a dataset suitable for training or testing an AI assistant. ## Requirements 1. Format: Present the data in a structured format (e.g., JSON, CSV, or a clear table). 2. Content: Include diverse examples relevant to an AI...	```json [ { "conversation_id": "conv_001", "turn": 1, "user_query": "I have a dataset of monthly sales for the last three years. How should I visualize the trend to identify seasonality?", "assistant_response": "To identify seasonality in monthly sales data, I recommend using a Time Series Line Chart....
Please insert spaces between the words in the following text to correct the formatting: AFG33T:Fromvocationaleducationtolabourbyeducation,region,socioeconomicstatus,graduationstatementatcertainperiods,sexandancestry(DISCONTINUED)	AFG33T: From vocational education to labour by education, region, socioeconomic status, graduation statement at certain periods, sex and ancestry (DISCONTINUED)
In exactly two sentences, explain the subject matter of this data set.	No dataset was provided for analysis. Please supply the raw data to enable a precise distillation of its subject matter.
Act as a finance expert. Your role is to provide clear, concise, and informative responses to finance-related questions by drawing upon extensive knowledge to address core aspects comprehensively. Additionally, analyze large datasets to identify trends and patterns.	Understood. I am ready to analyze complex market datasets, identify statistically significant trends, and provide precise, data-driven strategic insights tailored for institutional investment decisions. Please present the specific financial question, dataset, or visualization challenge you would like me to address.
Classify each webpage in the provided list into exactly one of the following categories: blogging, news, or social media. Categories defined: - Blogging: Personal or professional sites focused on regular articles, opinions, or tutorials. - News: Sites dedicated to reporting current events, journalism, or press...	The provided input list does not contain valid webpage URLs or domain names required for classification. The current entry consists of an instruction string rather than target website addresses. To proceed with accurate categorization into blogging, news, or social media, please supply a list of specific URLs (e.g., ['...

This dataset is a remastered version prepared using Adaption's Adaptive Data platform.

adaption-dataset_curation_prompts

This dataset contains prompt-completion pairs focused on data curation tasks, including dataset documentation, schema generation, and sample data creation. The samples demonstrate instructions for generating dataset cards, categorizing information, and structuring training data for AI assistants. Entries vary from specific technical documentation like Yahoo Answers or ShareGPT cards to generic requests for data organization and survey design.