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null | {
"_instruction": "Pridict if the stock price of Apple Inc. will be higher than $90 tomorrow.",
"input": "",
"output": "It is impossible to make a definitive prediction regarding the stock price of Apple Inc. tomorrow, as a variety of factors may affect the value of the stock. We do know that the current price of Apple's stock is $85.99, so there is potential for the stock to rise if market factors remain stable. Factors such as company performance, economic conditions, and investor sentiment will all play a role in the stock price movement. Until then, it is not possible to accurately predict if the stock price will be higher than $90 tomorrow."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 25960 | null | Validated | 2023-03-30T21:00:19.537784 | {
"text_length": 609
} |
null | {
"_instruction": "Write a paragraph explaining how the given term is used in research",
"input": "Data Visualization",
"output": "Data Visualization is an essential tool in research and analysis. It is used to represent and interpret large amounts of data in visually appealing ways, such as graphs, tables, and maps. Doing so allows researchers to identify patterns, relationships, and trends that may not be obvious in the raw data. Visualization also allows communication of complex data in simple, intuitive ways to be readily understood by both experts and nonexperts alike."
} | null | null | ALL GOOD | argilla | {
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} | false | null | 26024 | null | Validated | 2023-03-30T21:00:19.835062 | {
"text_length": 536
} |
null | {
"_instruction": "Analyze the stock performance of Apple in the last two years.",
"input": "",
"output": "Apple (AAPL) stock has had a strong performance over the last two years, with the stock price increasing from around $145 in February 2018 to over $350 in February 20"
} | null | null | BAD INSTRUCTION | argilla | {
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0.026811430230736732,
0.0732669085264206,
0.03769048675894737,
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0.023230064660310745,
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0.06333228200674057,
-0.051383960992097855
]
} | false | null | 26228 | null | Validated | 2023-03-30T21:00:21.242983 | {
"text_length": 229
} |
null | {
"_instruction": "Predict the stock price of Company X 3 months from now.",
"input": "",
"output": "It is difficult to predict the exact stock price of Company X three months in advance as it is influenced by too many factors. However, factors to consider are the current stock prices, the market outlook, the company's performance and overall financial health, as well as the current economic and political climate."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 26294 | null | Validated | 2023-03-30T21:00:21.695796 | {
"text_length": 373
} |
null | {
"_instruction": "Construct a model of an atom",
"input": "",
"output": "An atom is made up of a small, dense nucleus surrounded by electrons that are arranged in shells around the nucleus. The nucleus is made up of positively charged protons and neutral neutrons. The number of protons in an atom's nucleus determines what type of atom it is. Electrons orbit the nucleus in specific energy levels known as \"shells\" and are negatively charged. These shells are filled with electrons in a specific order and each shell can only hold a certain number of electrons.\n\nThe model of an atom consists of a sphere that represents the nucleus in the center of the atom, surrounded by rings that show where the shells are located. The protons and neutrons are represented by small spheres in the nucleus and the electrons are represented by small spheres that are placed at different distances from the nucleus, each representing a different shell."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 26492 | null | Validated | 2023-03-30T21:00:22.912282 | {
"text_length": 895
} |
null | {
"_instruction": "Based on the following data, predict the price of the product next week.",
"input": "Product Price (week1):$ 150\nProduct Price (week2):$ 170",
"output": "Based on the data provided, it is expected that the price of the product in the upcoming week will be higher than $170."
} | null | null | BAD INSTRUCTION | argilla | {
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]
} | false | null | 27293 | null | Validated | 2023-03-30T21:00:25.994597 | {
"text_length": 248
} |
null | {
"_instruction": "Train a model to recognize handwritten digits.",
"input": "",
"output": "The model can be trained using a dataset of images of handwritten digits, along with labels indicating which digit each image corresponds to. The model can measure the accuracy of its predictions and adjust its parameters as needed in order to increase accuracy. A variety of machine learning algorithms can be used for this task, such as convolutional neural networks or support vector machines."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 27421 | null | Validated | 2023-03-30T21:00:26.427718 | {
"text_length": 444
} |
null | {
"_instruction": "Predict what will happen in the stock market tomorrow.",
"input": "",
"output": "It is impossible to predict what will happen in the stock market tomorrow with certainty. Market trends are influenced by various factors and conditions, so it is impossible to predict the outcome with absolute accuracy."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 27890 | null | Validated | 2023-03-30T21:00:28.092804 | {
"text_length": 276
} |
null | {
"_instruction": "Predict the weather in Seoul, South Korea tomorrow.",
"input": "",
"output": "Tomorrow in Seoul, South Korea the weather will be sunny with temperatures reaching a high of 19°C and a low of 12°C."
} | null | null | BAD INSTRUCTION | argilla | {
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]
} | false | null | 28305 | null | Validated | 2023-03-30T21:00:29.515929 | {
"text_length": 170
} |
null | {
"_instruction": "Given the following table data, predict the price of an item next month.",
"input": "Month \tPrice\nJanuary \t$45\nFebruary \t$50\nMarch \t$55",
"output": "Based on the given data, the predicted price of the item next month is $60."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 28380 | null | Validated | 2023-03-30T21:00:29.780364 | {
"text_length": 199
} |
null | {
"_instruction": "Generate a solution to a stock market prediction problem.",
"input": "",
"output": "One possible solution to the stock market prediction problem would involve gathering and analyzing relevant data on the stock market such as recent news, market trends, patterns in the stock prices, and other factors. This data could then be used to develop a model that analyze the data and make predictions. Additionally, the model could be regularly updated with historical data and new input data to ensure accuracy and keep the predictions up-to-date."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 28885 | null | Validated | 2023-03-30T21:00:31.531818 | {
"text_length": 515
} |
null | {
"_instruction": "Which algorithm is best for predicting stock prices?",
"input": "",
"output": "There is no single algorithm that works best for predicting stock prices, but some of the most popular algorithms used include machine learning algorithms such as support vector machines, random forests, and artificial neural networks. Additionally, regression analysis and time series analysis are often used for stock price predictions."
} | null | null | ALL GOOD | argilla | {
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} | false | null | 29009 | null | Validated | 2023-03-30T21:00:31.970756 | {
"text_length": 392
} |
null | {
"_instruction": "Given a financial statement, predict what the stock market's reaction will be.",
"input": "The company reported a 25% growth in profits year-over-year.",
"output": "The stock market would likely react positively to the company's financial statement, resulting in a rise in stock prices."
} | null | null | ALL GOOD | argilla | {
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} | false | null | 29267 | null | Validated | 2023-03-30T21:00:32.848344 | {
"text_length": 261
} |
null | {
"_instruction": "Given a company, predict its stock's performance 6 months from now.",
"input": "Tesla",
"output": "The stock performance of Tesla 6 months from now is difficult to predict. Several factors could affect the stock price, including current market conditions, changes in the founding team, new product releases, and other external events."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 29271 | null | Validated | 2023-03-30T21:00:32.861579 | {
"text_length": 309
} |
null | {
"_instruction": "Predict the future direction of the stock market.",
"input": "",
"output": "It is difficult to predict the future direction of the stock market, as it is heavily influenced by a variety of factors such as market sentiment, economic developments, political events and macroeconomic trends."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 29417 | null | Validated | 2023-03-30T21:00:33.366448 | {
"text_length": 263
} |
null | {
"_instruction": "Predicte the stock price of Google in five years.",
"input": "",
"output": "It is difficult to predict the stock price of Google in five years with any accuracy, as there are many factors that could affect its price. However, it is likely that the stock price of Google will remain profitable and continue to grow, barring any unforeseen events."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 29436 | null | Validated | 2023-03-30T21:00:33.430053 | {
"text_length": 320
} |
null | {
"_instruction": "Formulate a hypothesis that explains the difference in the data in the provided chart.",
"input": "[Data Chart]",
"output": "The hypothesis is that there is a correlation between the amount of time spent on a task and the rate of task completion. The chart shows that when less than 3 hours were spent on the task, the completion rate dropped. However, when more than 3 hours were spent, the completion rate increased again. This suggests that there is an optimal time frame which needs to be allocated for a task to ensure its high completion rate."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 29577 | null | Validated | 2023-03-30T21:00:34.202902 | {
"text_length": 524
} |
null | {
"_instruction": "Based on the given data, forecast possible future market trends.",
"input": "The current trend in the market is that asset prices are increasing.",
"output": "Based on the current trend of increasing asset prices, it is likely that the market will continue to experience growth in the near term. With the positive economic outlook and a bullish stock market, investment demand is likely to remain high, leading to further increases in asset prices in the foreseeable future. In addition, the current low-interest environment and the increasing availability of credit may further spur further demand for assets, further increasing prices."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 29602 | null | Validated | 2023-03-30T21:00:34.376194 | {
"text_length": 612
} |
null | {
"_instruction": "Predict the outcome of a game of chess given the following board.",
"input": "Image of a chess board",
"output": "Given the chess board shown, it is difficult to make an accurate prediction of the outcome of the game, as many pieces are still in their starting positions and there is limited information available. However, the White pieces appear to have a slightly stronger presence on the board, with more pieces in play and some pawns close to promotion. Therefore, it would seem that White is in a better position to win the game."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 29754 | null | Validated | 2023-03-30T21:00:35.445525 | {
"text_length": 510
} |
null | {
"_instruction": "Train a language model to generate dialogue about technology",
"input": "",
"output": "The technology industry continues to evolve and grow in exciting ways with advances in software, hardware, artificial intelligence, and data science. From smartphones to smart homes, technology touches our daily lives in more ways than ever before. Whether it's about our favorite new device or the latest development in blockchain, there's always something new to discuss. Through conversations about technology, we can explore the potential of these new innovations as well as their implications for our future. By discussing the latest developments and keeping up with the trends, we can better understand the rapidly changing world around us. Technology has the power to shift how we live, work, and play, and this excites us as we look to the future."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 29756 | null | Validated | 2023-03-30T21:00:35.457748 | {
"text_length": 817
} |
null | {
"_instruction": "Write an outlook for the stock price of Amazon in the near future",
"input": "",
"output": "It is expected that Amazon's stock price will continue to experience strong growth in the near future as the company continues to expand its product offerings and invest in innovative technologies."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 30042 | null | Validated | 2023-03-30T21:00:37.274617 | {
"text_length": 264
} |
null | {
"_instruction": "Based on the following data, predict the closure price of a stock tomorrow.",
"input": "Today's stock price: 8.50",
"output": "The predicted closure price of the stock tomorrow is 8.58."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 30123 | null | Validated | 2023-03-30T21:00:37.665853 | {
"text_length": 160
} |
null | {
"_instruction": "Choose the best answer. Which of the following is a type of data visualization?",
"input": "A) A graph\nB) A heatmap\nC) A soundtrack",
"output": "B) A heatmap"
} | null | null | ALL GOOD | argilla | {
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} | false | null | 3023 | null | Validated | 2023-03-30T20:58:37.304737 | {
"text_length": 132
} |
null | {
"_instruction": "Create a product description for this logo.",
"input": "<attach image logo>",
"output": "This logo is for the brand, \"Nature's Way\". This brand believes that environmental sustainability and natural beauty should be preserved for future generations. Nature's Way strives to create products made from natural elements and materials that are both environmentally friendly and stylish. From eco-conscious shoes and clothing to renewable furniture and outdoor supplies, Nature's Way has all of your sustainable lifestyle needs covered. With Nature's Way, you won't just look good, you'll do good. Shop our selection of stylish and sustainably-sourced products today."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 30261 | null | Validated | 2023-03-30T21:00:38.152377 | {
"text_length": 637
} |
null | {
"_instruction": "Construct a financial model that includes the income statement, balance sheet and cash flow statements.",
"input": "",
"output": "The financial model should include an income statement, balance sheet, and cash flow statements. The income statement should show the revenues, expenses, and net income for the period. The balance sheet should show the assets, liabilities, and shareholders' equity at the end of the period. The cash flow statement should show the cash inflows and outflows for the period."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 30837 | null | Validated | 2023-03-30T21:00:40.150613 | {
"text_length": 477
} |
null | {
"_instruction": "Construct a model that explains the relationship between the provided set of variables.",
"input": "Age, Height, Weight",
"output": "A model demonstrating the relationship between age, height, and weight could be a linear regression, demonstrating how age is related to height and weight among adults. This could be used to estimate the effects of age on adults' body measurements, such as determining an appropriate height or weight for a specific age."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 30918 | null | Validated | 2023-03-30T21:00:40.423895 | {
"text_length": 428
} |
null | {
"_instruction": "Collect information about the percentage of population who own a smartphone in three different countries",
"input": "",
"output": "According to the latest statistics, about 81% of people in the United States own a smartphone, 73% of people in India have a smartphone, and 76% of people in China own a smartphone."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 31015 | null | Validated | 2023-03-30T21:00:40.763064 | {
"text_length": 287
} |
null | {
"_instruction": "Analyze the performance of the stock.",
"input": "The stock has increased by 10% in the past 3 months.",
"output": "The performance of the stock has been positive in the last three months, as it has seen an increase of 10%. This could indicate that the stock is performing well and investors are becoming more confident in the company's prospects."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 31083 | null | Validated | 2023-03-30T21:00:41.002542 | {
"text_length": 322
} |
null | {
"_instruction": "For the provided stock market data, predict its price at the end of the day",
"input": "Apple (AAPL) opened today at $135.14 and is currently trading at $135.56",
"output": "The predicted price of Apple (AAPL) at the end of the day is $135.56."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 32428 | null | Validated | 2023-03-30T21:00:45.666913 | {
"text_length": 218
} |
null | {
"_instruction": "Analyze these stock prices",
"input": "Google - $1,150.45\nApple - $309.00",
"output": "Google is trading at a higher price of 1,150.45 compared to Apple’s 309.00, indicating that the demand for Google’s stock is higher. This could be due to their increased investments in artificial intelligence and other innovative technologies."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 32542 | null | Validated | 2023-03-30T21:00:46.079883 | {
"text_length": 305
} |
null | {
"_instruction": "Develop an AI model that can forecast sales",
"input": "",
"output": "An AI model can be used to forecast sales by using various supervised and unsupervised machine learning approaches. The model can use historical data to develop forecasting models, such as linear regression, decision trees, and neural networks. The model can also use data such as customer purchases, customer preferences, and customer behavior to develop more accurate predictions."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 32754 | null | Validated | 2023-03-30T21:00:46.811469 | {
"text_length": 427
} |
null | {
"_instruction": "Analyze the stock market data to identify the most profitable trends",
"input": "AAPL",
"output": "This stock has experienced an overall increase in value over the past year, with a peak of $379.67 on August 18th and a current price of $370.45. The most profitable trends in the stock have been on the months of January, May and August, suggesting that AAPL has the potential to be a profitable investment for those willing to wait."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 32764 | null | Validated | 2023-03-30T21:00:46.846468 | {
"text_length": 407
} |
null | {
"_instruction": "Collect data about smartphone usage by state in the US.",
"input": "",
"output": "Data can be collected from surveys, online forums, industry reports, and other sources. Relevant data includes state-specific smartphone ownership and usage statistics, such as the percentage of people who own a smartphone by state, usage trends by age, gender and income, and the most popular operating systems and apps by state."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 32785 | null | Validated | 2023-03-30T21:00:46.920136 | {
"text_length": 387
} |
null | {
"_instruction": "Given a dataset, predict the sales of product X in the next 5 years",
"input": "A dataset containing product prices and sales trends over the past 10 years",
"output": "Using the given dataset, a predictive model can be created to forecast the sales of product X in the next 5 years. The model should take into account the historical prices, sales trends, seasonality, and other features of the dataset when making predictions. The predictions can then be used to inform future decisions regarding the sales strategy for the product."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 33755 | null | Validated | 2023-03-30T21:00:52.095963 | {
"text_length": 508
} |
null | {
"_instruction": "What is the main difference between a search engine and a web browser?",
"input": "",
"output": "The main difference between a search engine and a web browser is that a search engine is used to find information on the internet, while a web browser is used to navigate the internet and view web pages. A search engine will search for web pages, images, videos, and other content that matches the search terms that are given. A web browser will allow a user to view the web pages found using a search engine."
} | null | null | ALL GOOD | argilla | {
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} | false | null | 34189 | null | Validated | 2023-03-30T21:00:53.576002 | {
"text_length": 481
} |
null | {
"_instruction": "Given the following data, design a chart to show the results.",
"input": "x-axis label: month\ny-axis label: number of houses sold\nJan: 5\nFeb: 12\nMar: 6\nApr: 14\nMay: 5\nJune: 10",
"output": "A bar chart with the month (x-axis label) and number of houses sold (y-axis label). On the x-axis are Jan, Feb, Mar, Apr, May, and June; on the y-axis, the corresponding values (5, 12, 6, 14, 5, and 10)."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 34204 | null | Validated | 2023-03-30T21:00:53.625076 | {
"text_length": 367
} |
null | {
"_instruction": "Construct a database for a car rental business.",
"input": "",
"output": "A database for a car rental business can include tables for customers, rental vehicles, rental locations, rental services, rental contracts, and payments. The customer table should store customer information like name, address, payment history, and contact information. The rental vehicle table should store information like make, model, year, and availability. The rental location table should store the address, capacity, and amenities of rental locations. The rental services table should store services like car washes, oil changes, and extras. The rental contracts table should store information like the pick-up and drop-off dates, times, and location, as well as the duration and cost of the rental. Finally, the payments table should store data on payments received and owed."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 34280 | null | Validated | 2023-03-30T21:00:53.908094 | {
"text_length": 832
} |
null | {
"_instruction": "Generate a 100-word synopsis of the following paper describing its main claims and applications.",
"input": "This paper presents a deep reinforcement learning algorithm for learning to play a computer game \"Doom\". The proposed algorithm is a reimplementation of deep deterministic policy gradient with a continuous action space, relying on convolutional neural networks (CNN) in order to map frames of the game to the expected action. The experiments conducted with two variants of the Doom game showed that the proposed algorithm outperforms the baseline solution in terms of accuracy, demonstrating superior performance with deeper CNNs.\n\nThis research demonstrates the feasibility of deep reinforcement learning for game AI. With the help of deep learning techniques, our model is able to apprehend abstract concepts and perform complex navigational tasks, ensuring a high accuracy compared to the traditional approach. Exploring the performance of other deep reinforcement learning algorithms on the Doom games could further improve the overall accuracy.\n\nThe applications of the proposed approach can extend beyond game AI to robotic navigation and control tasks, image processing, and decision-making. By embracing more complex reinforcement learning techniques, such as imitation learning, hierarchical learning and meta-learning, the proposed method can be applied in various AI-driven tasks, including robotics and healthcare, combat and autonomous driving.",
"output": "This paper proposes a deep reinforcement learning algorithm for playing the computer game \"Doom\". The algorithm uses a continuous action space and deep convolutional neural networks for mapping frames of the game to the expected action, building on the deep deterministic policy gradient. Experiments on two variants of Doom showed that the proposed algorithm outperforms the baseline solution in terms of accuracy, with deeper CNNs increasing performance further. \n\nThe research demonstrates the feasibility of deep reinforcement learning for game AI and its potential applications can extend to robotic navigation and control, image processing and decision-making. Further exploration of the performance of other deep reinforcement learning algorithms on Doom games could improve the accuracy, while imitation learning, hierarchical learning, and meta-learning may broaden the AI-driven tasks where the method can be applied; including robotics, healthcare, combat and autonomous driving."
} | null | null | BAD OUTPUT | argilla | {
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} | false | null | 35174 | null | Validated | 2023-03-30T21:00:57.004445 | {
"text_length": 2445
} |
null | {
"_instruction": "Create a model for predicting customer churn.",
"input": "Dataset including customer demographic data, customer activity data and customer churn information.",
"output": "The predictive model should use a combination of the customer demographic data, customer activity data, and customer churn information provided in the dataset. The model should leverage machine learning and data analysis techniques such as regression and classification models to process the data and identify patterns that can be used to make predictions regarding customer churn. The model should also be able to include more data points over time, such as customer feedback or surveys. Furthermore, the model should provide some level of customization to account for any unique customer characteristics."
} | null | null | BAD INSTRUCTION | argilla | {
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]
} | false | null | 35316 | null | Validated | 2023-03-30T21:00:57.499586 | {
"text_length": 752
} |
null | {
"_instruction": "Use the K-nearest neighbors algorithm to classify data points.",
"input": "Data points: [[1,2],[2,4],[2,3],[3,5],[3,1],[5,5],[5,3],[6,1],[6,2],[6,4]]",
"output": "\"\"\"\nALgorithm to classify data points using K-nearest neighbors\n\"\"\"\n\ndef knn(data_points, k):\n labels = []\n\n for point in data_points:\n distances = []\n for other_point in data_points:\n if point != other_point:\n distances.append(((point[0] - other_point[0]) ** 2 + (point[1] - other_point[1]) ** 2) ** 0.5)\n #sort the distances \n sorted_distances = sorted(distances)\n #find the k-nearest neighbours\n k_nearest = sorted_distances[:k]\n #determine label using majority vote \n labels.append(majority_vote(k_nearest))\n \n return labels \n\ndef majority_vote(k_nearest):\n #code to find majority vote\n pass \n\nif __name__ == '__main__':\n data_points = [[1,2],[2,4],[2,3],[3,5],[3,1],[5,5],[5,3],[6,1],[6,2],[6,4]]\n k = 3\n print(knn(data_points, k))"
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 35454 | null | Validated | 2023-03-30T21:00:57.972175 | {
"text_length": 987
} |
null | {
"_instruction": "You are provided with a search query, find the top 5 relevant web pages to the query and output their URLs.",
"input": "Open source software",
"output": "https://opensource.com/, https://en.wikipedia.org/wiki/List_of_open-source_software, https://www.slant.co/topics/7625/~open-source-software, https://www.techopedia.com/definition/16575/open-source-software, https://en.wikipedia.org/wiki/Open-source_software."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 35688 | null | Validated | 2023-03-30T21:00:58.782178 | {
"text_length": 387
} |
null | {
"_instruction": "Develop a prediction model to predict the stock price of company X.",
"input": "",
"output": "Developing a prediction model to predict stock prices of company X requires thorough data analysis and understanding of the company's market action. First, collect data related to related market indices and put them in a time-series dataset. Then use a regression model such as a linear regression or an Artificial Neural Network to create a prediction model. Exploratory data analysis should be conducted to identify factors affecting the stock prices, such as company news, macroeconomic conditions, or other stocks in the same industry. Feature engineering can also be used to create new variables from existing ones, which can improve the model. Finally, use the model predictions to make investment decisions."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 35791 | null | Validated | 2023-03-30T21:00:59.131975 | {
"text_length": 783
} |
null | {
"_instruction": "Track the change in stock prices for the following company",
"input": "Google",
"output": "The stock price for Google (GOOGL) as of May 26, 2020 is $1310.19/share, representing an increase of over 13 points (1.02%) from the previous day's closing price of $1297.13. Over the past 5 trading days, the stock price has increased by roughly 16 points (1.24%) from the closing price a week ago of $1294.19."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 35995 | null | Validated | 2023-03-30T21:00:59.831523 | {
"text_length": 376
} |
null | {
"_instruction": "Design a table to store the information about floral sets.",
"input": "Floral Sets have 6 elements (Name, Image, Type, Colour of Flower, Occasion and Price).",
"output": "Table: Floral Sets\n\nColumns: \nName | Image | Type | Colour of Flower | Occasion | Price\n-----|-------|------|------------------|----------|------"
} | null | null | ALL GOOD | argilla | {
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} | false | null | 36104 | null | Validated | 2023-03-30T21:01:00.218571 | {
"text_length": 291
} |
null | {
"_instruction": "Predict the weather for the next 3 days in your city.",
"input": "City: Los Angeles",
"output": "The weather for the next three days in Los Angeles is expected to be mostly sunny with temperatures ranging from highs of 81 degrees to lows of 63 degrees."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 36363 | null | Validated | 2023-03-30T21:01:01.104277 | {
"text_length": 227
} |
null | {
"_instruction": "Predict the consequences of global warming.",
"input": "",
"output": "The consequences of global warming will be far-reaching and devastating. Rising sea levels and extreme weather events will threaten coastal cities across the world. Higher temperatures will bring more droughts, floods, and extreme weather events, leading to food and water shortages, decreased crop yields, and losses of biodiversity. Human health will also be negatively impacted, with an increased risk of heat stroke, infectious diseases, and air pollution-related illnesses."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 36847 | null | Validated | 2023-03-30T21:01:04.040424 | {
"text_length": 523
} |
null | {
"_instruction": "Predict the trend for the following data.",
"input": "Year: 2010, 2011, 2012, 2013, 2014 \nSales: 10, 15, 16, 18, 19",
"output": "The trend for this data indicates that sales will continue to increase. Using a linear regression is recommended to get exact numbers."
} | null | null | BAD OUTPUT | argilla | {
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} | false | null | 37067 | null | Validated | 2023-03-30T21:01:05.376479 | {
"text_length": 238
} |
null | {
"_instruction": "For the given input, predict the following day's stock price.",
"input": "The current price of Apple is $300.",
"output": "The predicted stock price of Apple for the following day is $301."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 37415 | null | Validated | 2023-03-30T21:01:07.703754 | {
"text_length": 163
} |
null | {
"_instruction": "Create a tweet that includes a hashtag to increase the visibility of a new product announcement",
"input": "[Image of a new product]",
"output": "We're excited to announce the launch of our new #ProductX! Get ready to experience something revolutionary! #TakingTechnologyToTheNextLevel"
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 3754 | null | Validated | 2023-03-30T20:58:46.628525 | {
"text_length": 261
} |
null | {
"_instruction": "Write a caption that summarizes the painting.",
"input": "[Image of a painting of two figures in a boat on a lake under a yellow sky]",
"output": "Two travelers take a peaceful journey through the twilight, gliding across the still waters of the lake."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 37786 | null | Validated | 2023-03-30T21:01:08.992485 | {
"text_length": 226
} |
null | {
"_instruction": "What could this sign represent?",
"input": "",
"output": "This sign could represent a stop sign, indicating to other drivers that they must stop the vehicle when they reach the sign."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 37999 | null | Validated | 2023-03-30T21:01:09.719080 | {
"text_length": 225
} |
null | {
"_instruction": "Predict how the stock price of TSLA will change in the next 48 hours.",
"input": "",
"output": "It is difficult to predict the stock price of TSLA with absolute accuracy. Factors such as news about the company, current trending topics, and global market trends all contribute to stock price shifts. We suggest to keep an eye on the news over the next 48 hours and use technical analysis to gain insight into the potential future direction of the stock."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 38224 | null | Validated | 2023-03-30T21:01:10.475632 | {
"text_length": 427
} |
null | {
"_instruction": "Analyze how this event could impact the stock market.",
"input": "The uncertainty around the US Presidential elections has been increasing.",
"output": "Increased uncertainty around US Presidential elections can have an impact on the stock market due to market volatility. Investors may sell their stocks before the election results are announced, causing a decrease in stock prices. Additionally, if the election results are not as expected, investors may become hesitant to invest, causing further decreases in stock prices."
} | null | null | ALL GOOD | argilla | {
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} | false | null | 38361 | null | Validated | 2023-03-30T21:01:10.957944 | {
"text_length": 501
} |
null | {
"_instruction": "Design a computer vision model for the following task.",
"input": "Detecting objects in an image",
"output": "A computer vision model for detecting objects in an image would involve training a Convolutional Neural Network (CNN) to identify features in the image and then classes the features into the appropriate object classes. Common techniques involve Transfer Learning, Utilizing Pretrained Model, or building a model from scratch. The trained model would then be used to make predictions in new images."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 38528 | null | Validated | 2023-03-30T21:01:11.513425 | {
"text_length": 482
} |
null | {
"_instruction": "Predict the revenue generated from the given data.",
"input": "Total No. of customers: 100 \nTotal sales: 5000",
"output": "The revenue generated is $50,000 (50 x 100)."
} | null | null | ALL GOOD | argilla | {
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} | false | null | 38684 | null | Validated | 2023-03-30T21:01:12.074510 | {
"text_length": 142
} |
null | {
"_instruction": "Explain the importance of the given concept in two sentences.",
"input": "Data Visualization",
"output": "Data visualization is important as it helps people interpret data quickly and effectively, allowing them to identify trends, patterns, and correlation. It also allows people to communicate data-driven stories and make informed decisions."
} | null | null | ALL GOOD | argilla | {
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} | false | null | 38748 | null | Validated | 2023-03-30T21:01:12.300642 | {
"text_length": 318
} |
null | {
"_instruction": "Write a discussion section analyzing the results of a recent article on NLP",
"input": "Article Title: \"State-of-the-Art Performance in Text-to-Image Synthesis with Pre-trained GANs\"",
"output": "Overall, this paper provides strong evidence for the potential of GANs for text-to-image synthesis. The authors demonstrate state-of-the-art performance on two datasets and improved performance on two additional datasets. This advances the field of text-to-image synthesis and provides evidence of the effectiveness of pre-trained GANs in this task. The results on downstream tasks further demonstrate the potential of GANs in NLP. Nevertheless, it is important to note that the paper’s evaluation metrics are limited and more work is needed to evaluate the model’s performance on other tasks. In addition, further experiments are needed to explore the effects of different hyperparameters and training strategies."
} | null | null | BAD INPUT | argilla | {
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} | false | null | 38991 | null | Validated | 2023-03-30T21:01:13.168030 | {
"text_length": 885
} |
null | {
"_instruction": "Search the web for an article about the benefits of using a GPT model, and output the title of the article.",
"input": "",
"output": "\"The Benefits of Using GPT Language Models\""
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 39033 | null | Validated | 2023-03-30T21:01:13.307484 | {
"text_length": 152
} |
null | {
"_instruction": "Predict the outcome based on the given data.",
"input": "Data:\nAge: 16\nRecent grades: A, A, B",
"output": "Given the data provided, it is likely that the outcome will be positive. The person's age of 16 and their recent grades of A and B suggest that they are performing well academically and thus will likely achieve a favorable result."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 39115 | null | Validated | 2023-03-30T21:01:13.584278 | {
"text_length": 312
} |
null | {
"_instruction": "Predict the stock market",
"input": "",
"output": "It is difficult to predict the stock market as it is affected by many factors and relies on unpredictable variables. However, there are certain strategies that can be used to improve the probability of making good investments, such as studying the stock market and understanding long-term trends, as well as analyzing company news, financial statements and management."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 39567 | null | Validated | 2023-03-30T21:01:15.152009 | {
"text_length": 394
} |
null | {
"_instruction": "Create a prototype design for a website given the following screenshots.",
"input": "Screenshots: Image 1 showing two navigation bars, Image 2 showing a search bar",
"output": "Using the provided screenshots as a reference, I created a prototype design for a website. The prototype design include two navigation bars, as shown in Image 1, and a search bar, as shown in Image 2. The navigation bars are designed with a tabbed structure and the search bar is designed as an autocomplete field to facilitate easy searching of website content. \nIn addition, the website colors are designed to create a pleasant and inviting atmosphere. The background color is set to a neutral light gray, while the foreground colors are set to black and a vibrant blue. The blue color will be used to emphasize the important elements of the website's interface, such as buttons and links."
} | null | null | BAD INSTRUCTION | argilla | {
"input": [
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} | false | null | 39719 | null | Validated | 2023-03-30T21:01:16.026119 | {
"text_length": 843
} |
null | {
"_instruction": "Propose components for a customized AI solution.",
"input": "Solution: AI-Powered Image Recognition System",
"output": "A customized AI solution for an image recognition system should include several components. The first is a feature extraction layer, which will be responsible for extracting relevant features from the images. This could involve using convolutional neural networks to detect patterns and objects in the images. The next component would be a model training layer, which will be responsible for training a model on the extracted features. This could involve using supervised or unsupervised learning algorithms depending on the task. Additionally, the system should have an inference layer, which will be responsible for making predictions or classifications based on the trained model. Finally, the solution should include a user interface layer to make the system easy to use and access."
} | null | null | ALL GOOD | argilla | {
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} | false | null | 40184 | null | Validated | 2023-03-30T21:01:19.060202 | {
"text_length": 881
} |
null | {
"_instruction": "Predict the weather tomorrow morning.",
"input": "",
"output": "Tomorrow morning is expected to be sunny with temperatures ranging from 15 to 19 degrees Celsius."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 40301 | null | Validated | 2023-03-30T21:01:19.572117 | {
"text_length": 136
} |
null | {
"_instruction": "Create a machine learning model to predict the stock price.",
"input": "Historical stock data of the last 6 months",
"output": "Created a machine learning model using the historical stock data of the last 6 months to predict the stock price."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 40409 | null | Validated | 2023-03-30T21:01:19.946076 | {
"text_length": 216
} |
null | {
"_instruction": "Create a chart that shows how market prices change over time.",
"input": "Market prices of corn, wheat, and soybean on April 1 and April 15",
"output": "Commodity | April 1 | April 15 |\n-------- | --------- | ----------\nCorn | 3.45 | 3.70\nWheat | 4.25 | 4.50\nSoybean | 8.50 | 8.80"
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 40445 | null | Validated | 2023-03-30T21:01:20.065500 | {
"text_length": 255
} |
null | {
"_instruction": "Given a stock market chart, predict if the price is likely to rise or fall.",
"input": "",
"output": "Based on the chart, it appears that the stock price is likely to rise in the near future. There is an upward trend in the chart and all indicators are pointing towards a steady increase in the stock price."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 40561 | null | Validated | 2023-03-30T21:01:20.474896 | {
"text_length": 282
} |
null | {
"_instruction": "Identify the issue portrayed in this editorial cartoon",
"input": "[insert image here]",
"output": "The editorial cartoon is depicting the issue of gun control in the United States. It features an image of a young child wearing body armor, symbolizing the need to protect children from gun violence."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 40750 | null | Validated | 2023-03-30T21:01:21.124737 | {
"text_length": 274
} |
null | {
"_instruction": "Summarize the key findings form the research paper.",
"input": "The paper deals with the analysis and comparison of two approaches for training an AI system for image synthesis.",
"output": "The research paper presented two image synthesis approaches, which were compared and analyzed. The performance of the two methods was measured using various evaluation metrics. The results of the comparison showed that the AI system trained with the proposed approach yielded better performance on the evaluation metrics."
} | null | null | BAD INPUT | argilla | {
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} | false | null | 40843 | null | Validated | 2023-03-30T21:01:21.435022 | {
"text_length": 487
} |
null | {
"_instruction": "Find the best shopping sites for smartphones.",
"input": "",
"output": "Some of the most popular sites for shopping for smartphones are Amazon, Best Buy, Walmart, and Newegg. Each one offers different benefits when it comes to buying smartphones, such as the price, selection, discounts, and customer service. Other sites that might be worth considering include eBay and Flipkart."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 41018 | null | Validated | 2023-03-30T21:01:22.030388 | {
"text_length": 355
} |
null | {
"_instruction": "Perfom a web search to find the sales figures of the iPhone 6",
"input": "",
"output": "According to Statista, Apple sold 215 million units of the iPhone 6, making it the most popular model of the iPhone released in 2014."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 41090 | null | Validated | 2023-03-30T21:01:22.272567 | {
"text_length": 196
} |
null | {
"_instruction": "Predict the stock price of Intel Corporation (INTC) at the end of this month.",
"input": "",
"output": "It is difficult to accurately predict the stock price of Intel Corporation (INTC) at the end of this month, as stock prices are highly unpredictable and are affected by a variety of factors such as economic conditions, political events, and investor sentiment. Therefore, it is advisable to conduct research and consult expert opinion before making an investment decision."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 41104 | null | Validated | 2023-03-30T21:01:22.317946 | {
"text_length": 451
} |
null | {
"_instruction": "What type of data does the given chart represent?",
"input": "A chart showing the number of sales each month for the past two years.",
"output": "The chart represents time-series data, showing the amount of sales in each month over the past two years."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 4122 | null | Validated | 2023-03-30T20:58:48.333683 | {
"text_length": 226
} |
null | {
"_instruction": "Analyze the data in the given chart.",
"input": "A pie chart showing the percentage of people in a survey who bought each item",
"output": "The pie chart shows that the most popular item was shoes, with 33% of participants saying they bought them. Additionally, 25% of participants said they bought clothes, 20% purchased electronics, 14% bought books and 8% purchased accessories."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 4129 | null | Validated | 2023-03-30T20:58:48.357347 | {
"text_length": 356
} |
null | {
"_instruction": "Predict the future stock price of [Apple Inc.]",
"input": "",
"output": "It is difficult to make any predictions about the future stock price of Apple Inc. due to the fluctuations in the stock market. However, analysts have predicted that Apple Inc. will continue to increase its value over time."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 4143 | null | Validated | 2023-03-30T20:58:48.405801 | {
"text_length": 271
} |
null | {
"_instruction": "For the given dataset, develop a Reinforcement Learning Algorithm to predict the future value of the stock.",
"input": "Dataset: Daily closing prices of Apple Inc. stock over a period of 12 months.",
"output": "The Reinforcement Learning algorithm would first feed in a set of daily closing prices of Apple Inc. stock over a period of 12 months. The algorithm would then be trained on the data to predict the future value of the stock. The algorithm will use the daily closing prices as features and the target value as the future stock price. It would use reinforcement learning techniques to identify patterns in the data and gradually adjust the algorithm's strategy for predicting the future value. The algorithm would be able to adjust its strategy as the market evolves, allowing it to make more accurate predictions and better inform investment decisions."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 41500 | null | Validated | 2023-03-30T21:01:24.233559 | {
"text_length": 837
} |
null | {
"_instruction": "Develop a hypothesis about the stock market.",
"input": "",
"output": "My hypothesis is that the stock market will rise if a company releases a successful product and if the overall economy is performing well. On the other hand, the stock market will drop if the company experiences a financial scandal or if the economy is performing poorly."
} | null | null | BAD OUTPUT | argilla | {
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} | false | null | 41687 | null | Validated | 2023-03-30T21:01:25.152800 | {
"text_length": 317
} |
null | {
"_instruction": "Determine the amount of product X sold this month.",
"input": "Month: June, Product X sold: 200",
"output": "The amount of product X sold in June is 200."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 42028 | null | Validated | 2023-03-30T21:01:26.312119 | {
"text_length": 128
} |
null | {
"_instruction": "Predict the 2021 wildfire season in California.",
"input": "",
"output": "The 2021 wildfire season in California is expected to be active and bring about an early start to some areas as a result of recent drought conditions. This will likely cause more extensive damage than in previous years due to the dry conditions. Conditions this season will be further magnified by a potential increase in extreme weather events such as strong winds, dry lightning and low humidity, in addition to potential higher temperatures. Governments and officials across California have taken steps to prepare for fire season and are already implementing preventative measures such as prescribed burns and vegetation thinning. These efforts, alongside continued public education campaigns, increased firefighter presence and fire safety regulations, will likely mitigate some of the effects of an active fire season."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 42082 | null | Validated | 2023-03-30T21:01:26.493569 | {
"text_length": 872
} |
null | {
"_instruction": "Predict the stock price of Google next year",
"input": "",
"output": "It is difficult to predict the stock price of Google exactly for next year. However, factors such as the company's financial performance, overall market conditions and macroeconomic trends can provide insight into the approximate direction that Google's stock price is likely to move in. Analysts generally anticipate that the Google stock price is likely to increase in the coming year due to positive operational performance and strong investor sentiment."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 42083 | null | Validated | 2023-03-30T21:01:26.497034 | {
"text_length": 502
} |
null | {
"_instruction": "Construct a simple toy model of a computer system.",
"input": "",
"output": "A simple toy model of a computer system would include a central processing unit, memory, input and output devices, and a control unit."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 42140 | null | Validated | 2023-03-30T21:01:26.704013 | {
"text_length": 186
} |
null | {
"_instruction": "Given a stock price over a period of time, determine whether the stock is a good investment.",
"input": "The stock price has increased 10% over the past 6 months.",
"output": "Whether the stock is a good investment depends on a number of factors, such as company performance and the financial health of the stock, as well as the current state of the market. Additionally, past performance is no guarantee of future success, so it is important to evaluate the stock in the context of a wider trend or cycle. Overall, the 10% increase in stock price over the past 6 months is a positive indicator, but further research into the market and company performance is recommended."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 42388 | null | Validated | 2023-03-30T21:01:27.590541 | {
"text_length": 647
} |
null | {
"_instruction": "Make a prediction about the stock price of Apple.",
"input": "",
"output": "Based on the current market trends, I predict that the stock price of Apple will continue to increase in the coming months."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 42391 | null | Validated | 2023-03-30T21:01:27.600674 | {
"text_length": 174
} |
null | {
"_instruction": "Construct a linear regression model to predict sales.",
"input": "The dataset contains data on product prices and customer demographics.",
"output": "The linear regression model should be constructed to predict the sales of a product by taking into account product prices and customer demographics. The model should be built with the data provided and then evaluated with an appropriate metric such as accuracy or mean-squared error. Next, the model should be optimized by tuning hyperparameters to maximize the evaluation metric."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 42621 | null | Validated | 2023-03-30T21:01:28.400197 | {
"text_length": 505
} |
null | {
"_instruction": "Make a prediction about how the price of oil will change over the next 6 months.",
"input": "",
"output": "We expect the price of oil to remain largely stable over the next six months."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 42892 | null | Validated | 2023-03-30T21:01:29.371924 | {
"text_length": 159
} |
null | {
"_instruction": "Represent this information in a chart.",
"input": "Average temperatures in the US during the summer",
"output": "| | \n |---------|\nRegion | Average Temperature (°C)\nNortheast| 25 \nSouth | 33 \nMidwest | 28 \nWest | 30"
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 43150 | null | Validated | 2023-03-30T21:01:32.153393 | {
"text_length": 209
} |
null | {
"_instruction": "Classify the following text as either describing a computer vision task or a natural language processing task.",
"input": "The computer is capable of automatically detecting the faces in an image.",
"output": "This text is describing a computer vision task."
} | null | null | ALL GOOD | argilla | {
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} | false | null | 43293 | null | Validated | 2023-03-30T21:01:34.104154 | {
"text_length": 232
} |
null | {
"_instruction": "Based on the description, name the type of chart.",
"input": "A chart that consists of four quadrants defined by a pair of perpendicular lines drawn through a centerpoint.",
"output": "A scatter plot."
} | null | null | ALL GOOD | argilla | {
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} | false | null | 43423 | null | Validated | 2023-03-30T21:01:34.593170 | {
"text_length": 175
} |
null | {
"_instruction": "Describe what the data shows.",
"input": "[Data Visualization]",
"output": "The data visualization shows a steady increase in online shopping from 2015 to 20"
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 43543 | null | Validated | 2023-03-30T21:01:34.999011 | {
"text_length": 132
} |
null | {
"_instruction": "Estimate the upcoming stock price of Apple in 2 months",
"input": "",
"output": "Sorry, the task requires financial analysis. Due to the unreliability of the model, we cannot complete this task."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 43544 | null | Validated | 2023-03-30T21:01:35.002569 | {
"text_length": 169
} |
null | {
"_instruction": "Build a neural network for predicting stock prices in the given market.",
"input": "Shanghai Stock Exchange",
"output": "The model would first use financial data (e.g. earnings of a company, business news, prevailing market sentiment) as the input variables. The output would then be a prediction of the stock's future price. To start building the model, we would first explore the data available and clean it for any missing information. We would also perform feature engineering to identify the most powerful features which reliably sink with the price behavior. After that, we would train the model with different neural network models like shallow nn, deep nn, and recurrent nn. On top of the neural network models, hyperparameter tuning should be performed in order to further optimize the models. Once the model is ready, it can be deployed for real-time predictions of the stock in the Shanghai Stock Exchange."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 43679 | null | Validated | 2023-03-30T21:01:35.479423 | {
"text_length": 892
} |
null | {
"_instruction": "Edit a photograph to apply the given filter.",
"input": "An image of a city skyline with a sepia filter.",
"output": "The edited image can include the given sepia filter, making the image more warm and vintage-looking. The effect can be further enhanced through adjustments to color saturation, brightness, and contrast. Other edits such as adding a blur effect or vignetting can also be applied to achieve the desired sepia tone."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 43682 | null | Validated | 2023-03-30T21:01:35.489194 | {
"text_length": 405
} |
null | {
"_instruction": "Write a short description of the following input and mention at least two applications",
"input": "The use of deep learning in computer vision and image analysis",
"output": "Deep learning is a powerful form of artificial intelligence which is applied heavily in computer vision and image analysis. Common applications include object and facial recognition, automated tagging and annotation, as well as self-driving cars. It can also be used for medical image analysis and disease detection."
} | null | null | ALL GOOD | argilla | {
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} | false | null | 44131 | null | Validated | 2023-03-30T21:01:37.018575 | {
"text_length": 466
} |
null | {
"_instruction": "Design a workflow for a machine learning system to predict stock prices.",
"input": "",
"output": "The workflow for a machine learning system to predict stock prices should start by collecting relevant data from various sources such as news articles, financial statements, and other sources. The data should be pre-processed to remove outliers, normalize it, and extract features. Then, a model or a set of models can be trained using supervised or unsupervised learning methods. After the model is validated, predictions can be generated. Finally, the results of the predictions can be compared with actual stock prices using a metric such as root mean squared error."
} | null | null | ALL GOOD | argilla | {
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} | false | null | 44222 | null | Validated | 2023-03-30T21:01:37.380747 | {
"text_length": 643
} |
null | {
"_instruction": "Review the given chart and find the outlier.",
"input": "Data Series A: 0, 5, 8, 10, 11, 10, 9",
"output": "The outlier of the given data series is 11, as it is numerically greater than the rest of the numbers in the series."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 44284 | null | Validated | 2023-03-30T21:01:37.593698 | {
"text_length": 199
} |
null | {
"_instruction": "Find the hidden object.",
"input": "[image of a room with hidden objects]",
"output": "The hidden object in the image is a red teddy bear tucked away in the corner of the room."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 44343 | null | Validated | 2023-03-30T21:01:37.796173 | {
"text_length": 151
} |
null | {
"_instruction": "Search the web for a valid license for the company.",
"input": "Company Name: ABC Industries",
"output": "ABC Industries has valid licenses for operating in the United States, European Union, United Kingdom, Japan, Canada, Australia, and New Zealand."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 44422 | null | Validated | 2023-03-30T21:01:38.068773 | {
"text_length": 225
} |
null | {
"_instruction": "Given the current situation, what are the predictions of the stock market this October?",
"input": "",
"output": "Analysts expect the stock market to rise slightly in October, with the S&P 500 and Dow Jones Industrial Average expected to build on their gains in September. Economic indicators such as monthly payroll numbers and third-quarter GDP growth could further bolster market sentiment. Traders should be aware, however, that there will likely be heightened volatility due to increasing geopolitical tensions and the upcoming U.S. presidential election."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 44853 | null | Validated | 2023-03-30T21:01:39.568104 | {
"text_length": 535
} |
null | {
"_instruction": "Given a data set and text description write a python program that computes the mean, median, and mode.",
"input": "Data Set: [1, 2, 2, 3, 4, 6, 8, 8]",
"output": "def mean_median_mode(sample): \n mean = sum(sample)/len(sample)\n sorted_sample = sorted(sample)\n if len(sorted_sample) % 2 == 1: \n median = sorted_sample[len(sorted_sample)//2] \n else:\n median = (sorted_sample[len(sorted_sample)//2] + \n sorted_sample[len(sorted_sample)//2 - 1])/2\n mode = max(sorted_sample, key=sorted_sample.count)\n \n print(\"Mean: \", mean)\n print(\"Median: \", median)\n print(\"Mode: \", mode) \n \nmean_median_mode(sample)\n\nOutput:\nMean: 4.375\nMedian: 4\nMode: 2"
} | null | null | ALL GOOD | argilla | {
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} | false | null | 44873 | null | Validated | 2023-03-30T21:01:39.636452 | {
"text_length": 671
} |
null | {
"_instruction": "Predict what will happen to the stock prices of a company based on its quarterly earnings report",
"input": "Company ABC's quarterly earnings report showed a net loss of $5 million",
"output": "The stock prices of Company ABC are likely to go down following the release of the quarterly earnings report as it showed a net loss of $5 million."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 45130 | null | Validated | 2023-03-30T21:01:40.526455 | {
"text_length": 316
} |
null | {
"_instruction": "Based on the following data points, identify which type of machine learning algorithm is being used.",
"input": "The data consists of temperature readings from one hundred different air conditioners over an eight-month period.",
"output": "The machine learning algorithm being used is a regression algorithm. Regression algorithms are used to predict continuous outcomes such as temperature readings. The data points are used to create a predictive model which can accurately predict the readings of a single air conditioner given its data points."
} | null | null | BAD INSTRUCTION | argilla | {
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} | false | null | 45153 | null | Validated | 2023-03-30T21:01:40.608261 | {
"text_length": 522
} |
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