Upload folder using huggingface_hub

question_answers/test.csv

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+question_id,question,correct_answer,correct_answer_document_ids
+watsonx_q_1,What foundation models are available in watsonx.ai ?,"The following models are available in watsonx.ai: 
+flan-t5-xl-3b
+Flan-t5-xxl-11b
+flan-ul2-20b
+gpt-neox-20b
+granite-13b-chat-v2
+granite-13b-chat-v1
+granite-13b-instruct-v2
+granite-13b-instruct-v1
+llama-2-13b-chat
+llama-2-70b-chat
+mpt-7b-instruct2
+mt0-xxl-13b
+starcoder-15.5b",['5B37710FE7BBD6EFB842FEB7B49B036302E18F81']
+watsonx_q_3,What is greedy decoding?,"Greedy decoding produces output that closely matches the most common language in the model's pretraining data and in your prompt text, which is desirable in less creative or fact-based use cases. A weakness of greedy decoding is that it can cause repetitive loops in the generated output.",['42AE491240EF740E6A8C5CF32B817E606F554E49']
+watsonx_q_6,What tuning parameters are available for IBM foundation models?,"Tuning parameter values for IBM foundation models:
+Initialization method
+initialization text
+batch_size
+accumulate_steps
+learning_rate
+num_epochs""",['51747F17F413F1F34CFD73D170DE392D874D03DD']
+watsonx_q_7,What are tokens and tokenization?,A token is a collection of characters that has semantic meaning for a model. Tokenization is the process of converting the words in your prompt into tokens.,['B193A2795BDEF17A5D204CDD18188A767E2FE7B7']
+watsonx_q_8,"What is the ""random seed"" parameter in prompt tuning experiments?","Random seed refers to the number that is used to start the random number generator that the model uses to randomize its token choices. If you want to remove this intentional randomness as a variable from your experiments, you can pick a number and specify that same number each time you run the experiment.",['F003581774D3028EF53E61A002C20A6D36BA8E00']
+watsonx_q_10,How to build reusable prompts?,A great way to add flexibility to a prompt is to add prompt variables. A prompt variable is a placeholder keyword that you include in the static text of your prompt at creation time and replace with text dynamically at run time.,['6049D5AA5DE41309E6281534A464ABD6898A758C']
+watsonx_q_12,"What are the functionalities of the Prompt Lab in IBM watsonx.ai, and how does it facilitate the process of crafting and optimizing prompts for deployed foundation models?","In the Prompt Lab in IBM watsonx.ai, you can experiment with prompting different foundation models, explore sample prompts, and save and share your best prompts.
+
+You use the Prompt Lab to engineer effective prompts that you submit to deployed foundation models for inferencing. You do not use the Prompt Lab to create new foundation models.",['78A8C07B83DF1B01276353D098E84F12304636E2']
+watsonx_q_13,How do I avoid repetitive text in prompt tuning experiments?,"If you notice repetitive text in the generated output from your selected prompt, model, and parameters, you can address this by implementing a repetition penalty. This penalty reduces the likelihood of the model repeating tokens that were recently used, resulting in more diverse output. Adjusting the penalty to a higher value enhances the diversity and variability of the generated text.",['42AE491240EF740E6A8C5CF32B817E606F554E49']
+watsonx_q_14,"What happens to unsaved prompt text within Prompt Lab, and how long does it persist on the webpage before being deleted?","The prompt text remains unsaved unless the user decides to save their progress. While unsaved, the prompt text persists on the webpage until a page refresh occurs, upon which the text is automatically deleted.",['38FB0908B90954D96CEFF54BA975DE832286A0A7']
+watsonx_q_18,Why deploy a prompt template?,Deploy a prompt template so you can add it to a business workflow or so you can evaluate the prompt template to measure performance.,['B2117B2CD0FEA469149B23FACB6A9F7F32905AFD']
+ag_122,What is trust calibration?,"Trust calibration is the process of evaluating and adjusting one's trust in an AI system based on factors such as its accuracy, reliability, and credibility.",['F003581774D3028EF53E61A002C20A6D36BA8E00']
+ag_876,What are parameters in CLEM?,"Parameters are user-defined variables that are saved and persisted with the current flow or SuperNode and can be accessed from the user interface as well as through scripting. They are often used in scripting to control the behavior of the script, by providing information about fields and values that don't need to be hard coded in the script.",['717B697E0045B5D7DFF6ACC93AD5DEC98E27EBDC']
+ag_245,What is a data warehouse?,"A data warehouse is a large, centralized repository of data collected from various sources that is used for reporting and data analysis. It primarily stores structured and semi-structured data, enabling businesses to make informed decisions.",['F003581774D3028EF53E61A002C20A6D36BA8E00']
+ag_15,What is the retrieval-augmented generation pattern?,"The retrieval-augmented generation pattern is a technique for generating factually accurate output based on information in a knowledge base. It involves three basic steps: searching for relevant content in the knowledge base, pulling the most relevant content into the prompt as context, and sending the combined prompt text to the model to generate output.",['43785386700CF73E37A8F76ADC4EF9FB01EE0AEB']
+ag_89,What is the workflow for a Federated Learning experiment?,"The workflow for a Federated Learning experiment involves three main roles: the data scientist, the party, and the admin. The data scientist identifies the data sources, creates an initial ""untrained"" model, and creates a data handler file. The party connects to the aggregator on their system, which can be remote. The admin controls the Federated Learning experiment by configuring the experiment to accommodate remote parties and starting the aggregator.",['4B48EF3D089F3142B1ED604A32873217F89E052F']
+ag_251,What are the benefits of using IBM Federated Learning?,"IBM Federated Learning enables sites with large volumes of data to be collected, cleaned, and trained on an enterprise scale without migration. It also accommodates for the differences in data format, quality, and constraints, and complies with data privacy and security while training models with different data sources.",['A7845D8C3E419CEDD06E8C447ADF41E6E3D860C8']
+ag_167,How do I delete a deployment using the Python client?,"To delete a deployment using the Python client, use the `client.deployments.delete(deployment_uid)` method. This method will return a SUCCESS message if the deployment was successfully deleted. You can also use the `client.deployments.list()` method to check that the deployment was removed.",['315971AE6C6A4EEDE13E9E1449B2A36F548B928F']
+ag_166,What is an ontology?,"An ontology is an explicit formal specification of the representation of the objects, concepts, and other entities that can exist in some area of interest and the relationships among them.",['F003581774D3028EF53E61A002C20A6D36BA8E00']
+ag_691,What are the key functions of the geospatial library?,"The geospatial library includes functions to read and write data, topological functions, geohashing, indexing, ellipsoidal and routing functions. All calculated geometries are accurate without the need for projections, and the geospatial functions take advantage of the distributed processing capabilities provided by Spark. The library also includes native geohashing support for geometries used in simple aggregations and in indexing, thereby improving storage retrieval considerably. Additionally, the library supports extensions of Spark distributed joins and the SQL/MM extensions to Spark SQL.",['3508F0DDA4CCBDBB07BD583218F4E4260DC01C0D']
+ag_548,What is a map chart?,"A map chart is a type of chart that is commonly used to compare values and show categories across geographical regions. It is most beneficial when the data contains geographic information (countries, regions, states, counties, postal codes, and so on).",['F5AF4BCC2D0168D2698BEB2A858C24F81A476610']
+ag_780,What versions of IBM Db2 for z/OS are supported?,IBM Db2 for z/OS version 11 and later are supported.,['BE7F45C3E17998A50B8414D623007ED668B37C04']
+ag_915,What is the purpose of the Sim Eval node in IBM SPSS Modeler?,"The Sim Eval node is a terminal node that evaluates a specified field, provides a distribution of the field, and produces charts of distributions and correlations. It is primarily used to evaluate continuous fields and is designed to be used with data that was obtained from the Sim Fit and Sim Gen nodes.",['82546B72EDBFB76F571CFD06A7009E01615FA054']
+ag_434,What is a deterministic computing system?,Deterministic describes a characteristic of computing systems when their outputs are completely determined by their inputs.,['F003581774D3028EF53E61A002C20A6D36BA8E00']
+ag_426,How can I search for assets across the platform?,You can use the global search bar to search for assets across all the projects and deployment spaces to which you have access.,['977C81385F7825613F1EDBD3C0DBF44C259BA8D7']
+ag_684,What file types are supported by the Box connection?,"The Box connection supports Avro, CSV, Delimited text, Excel, JSON, ORC, Parquet, SAS, SAV, SHP, and XML file types.",['B481BDE61EEBA2CC6B2A0C1D9C43D8DD56AB2A08']
+ag_518,What are the properties of the Bayes Net node in the Clementine data mining tool?,"The Bayes Net node in the Clementine data mining tool has several properties, including the ability to build a probability model by combining observed and recorded evidence with real-world knowledge, the ability to focus on Tree Augmented Naïve Bayes (TAN) and Markov Blanket networks, and the ability to use a single target field and one or more input fields. Additionally, the node can be used for classification and can be trained using existing models. The node also allows for feature selection and the use of different methods for estimating conditional probability tables and determining independence. The significance level and maximal conditioning set can also be specified. Finally, the node allows for the selection of specific fields from the dataset to be always used when building the Bayesian network.",['FE2254205E6DD1EE2A4EC62036AB86BC5E084F5D']
+ag_2,What are the natural language processing tasks supported in the Watson Natural Language Processing library?,"The Watson Natural Language Processing library supports the following natural language processing tasks: language detection, syntax analysis, noun phrase extraction, keyword extraction and ranking, entity extraction, sentiment classification, and tone classification.",['15D57C8193B99B8525BC2999EF82EF1CD7EAE8AD']
+ag_662,What is an IBM Cloud service ID?,"A service ID is a unique identifier that is used to enable an application outside of IBM Cloud access to your IBM Cloud services. Service IDs are not tied to a specific user, and access policies can be assigned to each service ID to ensure that your application has the appropriate access for authenticating with your IBM Cloud services.",['ABFAAF84948B090C8EA099FF44CC8CD878371073']
+ag_575,What is sentiment analysis?,"Sentiment analysis is the examination of the sentiment or emotion expressed in text, such as determining if a movie review is positive or negative.",['F003581774D3028EF53E61A002C20A6D36BA8E00']
+ag_861,How do I create a connection to Microsoft SQL Server?,"To create a connection to Microsoft SQL Server, you will need the following connection details: the database name, hostname or IP address, either the port number or the instance name, username and password, and the SSL certificate (if required by the database server). Additionally, if the server is configured for dynamic ports, you should use the instance name. If the Microsoft SQL Server has been set up in a domain that uses NTLM (New Technology LAN Manager) authentication, you should select the ""Use Active Directory"" option and enter the name of the domain that is associated with the username and password. Finally, for private connectivity, you will need to set up a secure connection if the database is not externalized to the internet (for example, behind a firewall).",['7946DCF2F69A7420490A7B5CA677C2273DE5764B']

question_answers/train.csv

@@ -0,0 +1,56 @@
+question_id,question,correct_answer,correct_answer_document_ids
+watsonx_q_2,What foundation models have been built by IBM?,"Foundation models built by IBM include: 
+granite-13b-chat-v2
+granite-13b-chat-v1
+granite-13b-instruct-v1""",['B2593108FA446C4B4B0EF5ADC2CD5D9585B0B63C']
+watsonx_q_4,How can you ensure the removal of harmful content when utilizing foundation models in the Prompt Lab?,"To remove harmful content when you're working with foundation models in the Prompt Lab, set the AI guardrails switch to On.",['812C39CF410F9FE3F0D0E7C62ED1BC015370C849']
+watsonx_q_5,When to tune a foundation model?,"Tune a foundation model when you want to do the following things:
+
+Reduce the cost of inferencing at scale
+Get the model's output to use a certain style or format
+Improve the model's performance by teaching the model a specialized task
+Generate output in a reliable form in response to zero-shot prompts""",['FBC3C5F81D060CD996489B772ABAC886F12130A3']
+watsonx_q_9,How do I avoid generating personal information with foundation models?,"To exclude personal information, try these techniques:
+- In your prompt, instruct the model to refrain from mentioning names, contact details, or personal information.
+- In your larger application, pipeline, or solution, post-process the content that is generated by the foundation model to find and remove personal information.""",['E59B59312D1EB3B2BA78D7E78993883BB3784C2B']
+watsonx_q_11,"What Python libraries are available for interacting with IBM Watson Machine Learning AutoAI experiments, and what are their respective functionalities?","The `autoai-lib` Python library offers a range of functions designed to facilitate interaction with IBM Watson Machine Learning AutoAI experiments. With this library, you can examine and modify the data transformations applied during pipeline creation. Likewise, the `autoai-ts-libs` library enables interaction with pipeline notebooks specifically tailored for time series experiments.",['83CD92CDB99DB6263492FAD998E932F50F0F8E99']
+watsonx_q_15,What are the steps involved in configuring the watsonx platform for an organization's use?,"The setup process for the watsonx platform on IBM watsonx.ai involves several steps: signing up for the service, upgrading to a paid plan, configuring the required services, and assigning appropriate permissions to users within your organization. IBM watsonx.ai, hosted on the watsonx platform, offers cloud-based services for tasks such as data preparation, data science, and AI modeling. Additionally, the platform benefits from robust security measures comparable to those found on IBM Cloud.",['27DB2218237B89F557D3702F4270288E4460E9CB']
+watsonx_q_16,What is the difference between fine-tuning and prompt-tuning foundation models?,"Fine-tuning changes the parameters of the underlying foundation model to guide the model to generate output that is optimized for a task. Prompt-tuning adjusts the content of the prompt that is passed to the model to guide the model to generate output that matches a pattern you specify. In this case the underlying foundation model and its parameters are not edited, only the prompt input is altered.",['15A014C514B00FF78C689585F393E21BAE922DB2']
+watsonx_q_19,How are words mapped to tokens?,"The mapping from words to tokens is context dependent. It depends on the word's position in a sentence, surrounding words, and on the language and chosen model.",['B193A2795BDEF17A5D204CDD18188A767E2FE7B7']
+ag_455,What are the different types of joins that can be performed in Data Refinery?,"There are several types of joins that can be performed in Data Refinery, including left join, right join, inner join, full join, semi join, and anti join. Each type of join has a specific purpose and can be used to combine data from two data sets based on a comparison of the values in specified key columns.",['9C03418999E6B01345837D9DD0F8E0410ED5CB7D']
+ag_279,How can you edit the sample size in Data Refinery?,"To edit the sample size in Data Refinery, open the Flow settings and go to the Source data sets tab. Click the overflow menu next to the data source and select Edit sample.",['0999F59BB8E2E2AB7722D57CDBC051A0984ABE45']
+ag_105,What information is needed to create a Watson Query connection?,"To create a Watson Query connection, you need the following information: database name, hostname or IP address of the database, port number, instance ID, credentials information, application name (optional), client accounting information (optional), client hostname (optional), client user (optional), and SSL certificate (if required by the database server).",['D377DA7CF67645F321593FA8B1536BE2F0753333']
+ag_992,How do you mark a Jupyter notebook as trusted?,"To trust a notebook in Jupyter, click the ""Not Trusted"" button in the upper right corner of the notebook and then click ""Trust"" to execute all cells.",['D1AFA9BB4E0475A56190DC8254E004308BEA484D']
+ag_553,What is the purpose of the Data Audit node in SPSS Modeler?,"The Data Audit node provides a comprehensive first look at the data you bring to SPSS Modeler, presented in an interactive, easy-to-read matrix that can be sorted and used to generate full-size graphs. This node can be used to gain a preliminary understanding of the data, including information about outliers, extremes, and missing values.",['7F4648FD3E7F8564C98CF142E0E09E23E8097A9E']
+ag_541,What information is needed to create a connection to Db2 Warehouse?,"To create a connection to Db2 Warehouse, you need the following information: database name, hostname or IP address of the database server, port number, API key or username and password, application name (optional), client accounting information (optional), client hostname (optional), client user (optional), and SSL certificate (if required by the database server).",['C61D407536D31A069AA857469A0EEBFEF1C0E1B8']
+ag_812,What is optimization?,"Optimization is the process of finding the most appropriate solution to a precisely defined problem while respecting the imposed constraints and limitations. For example, determining how to allocate resources or how to find the best elements or combinations from a large set of alternatives.",['F003581774D3028EF53E61A002C20A6D36BA8E00']
+ag_161,What is a Jupyter Notebook?,"A Jupyter Notebook is a web-based environment for interactive computing. It allows you to run small pieces of code that process your data, and then immediately view the results of your computation.",['577964B0C132F5EA793054C3FF67417DDA6511D3']
+ag_421,What is an algorithm?,An algorithm is a formula applied to data to determine optimal ways to solve analytical problems.,['F003581774D3028EF53E61A002C20A6D36BA8E00']
+ag_577,What is a resource group in IAM?,"A resource group is a logical grouping of resources that helps with access control. Resources are any service that is managed by IAM, such as databases. Whenever you create a service instance from the Cloud catalog, you must assign it to a resource group.",['ABFAAF84948B090C8EA099FF44CC8CD878371073']
+ag_0,What are the different types of classification algorithms that can be used to train a custom classification model?,"There are three different families of classification algorithms that can be used to train a custom classification model: classic machine learning using SVM (Support Vector Machines), deep learning using CNN (Convolutional Neural Networks), and a transformer-based algorithm using a pre-trained transformer model.",['9E2277EC0ED75EC2871C8BCCB4B9AF3F78350C9B']
+ag_957,What is a confusion matrix?,A confusion matrix is a performance measurement that determines the accuracy between a model's positive and negative predicted outcomes to positive and negative actual outcomes.,['5042FBFB0C15AEDED02FF805C4869AC838910C7A']
+ag_866,What is a visualization?,"A visualization is a visual representation of data, such as a graph, chart, plot, table, or map.",['F003581774D3028EF53E61A002C20A6D36BA8E00']
+ag_617,How do I assign roles to enable access to Cloud Object Storage?,"The IBM Cloud account owner or administrator assigns appropriate roles to users to provide access to Cloud Object Storage. Storage delegation must be disabled when using role-based access. Additionally, rather than assigning each individual user a set of roles, you can create an access group. Access groups expedite role assignments by grouping permissions. For instructions on creating access groups, see the IBM Cloud docs: Setting up access groups.",['39AD64C9004E83507A968C5C0B1C8EF952B3EACE']
+ag_814,"What are the different methods for imputing missing data in binary classification, multiclass classification, or regression experiments?","There are three methods for imputing missing data in binary classification, multiclass classification, or regression experiments: most frequent, median, and mean. Most frequent replaces missing values with the value that appears most frequently in the column, median replaces missing values with the value in the middle of the sorted column, and mean replaces missing values with the average value for the column.",['73F96A06142EE17A6C55E5700580F33250552A00']
+ag_308,What is a candlestick chart?,"A candlestick chart is a type of financial chart that is used to describe price movements of a security, derivative, or currency. It typically shows one day of data and is most often used in the analysis of equity and currency price patterns. The data set that is used to create a candlestick chart must contain open, high, low, and close values for each time period you want to display.",['F7D94E6CD13F36EB9B1FE7653C436DC5745250B1']
+ag_237,What is a Jupyter notebook?,"A Jupyter notebook is a web-based environment for interactive computing. It allows you to run small pieces of code that process your data, and immediately view the results of your computation. Notebooks include all of the building blocks you need to work with data, including the data itself, the code computations that process the data, visualizations of the results, and text and rich media to enhance understanding.",['292D19849E8FBE48869F5E3A50439964563A90D1']
+ag_772,What is a time series model?,A time series model is a model that tracks and predicts data over time.,['F003581774D3028EF53E61A002C20A6D36BA8E00']
+ag_267,What are the benefits of using scripting in SPSS Modeler?,"Scripting in SPSS Modeler can be used to automate repetitive tasks, impose a specific order for node executions in a flow, set properties for a node, and perform derivations using a subset of CLEM. Additionally, scripting can be used to specify an automatic sequence of actions that normally involves user interaction, such as building a model and then testing it.",['14A06DE43E6B08188A7672B5BE8068A572DE5B7C']
+ag_997,What is temperature in a generative model?,Temperature is a parameter in a generative model that specifies the amount of variation in the generation process. Higher temperatures result in greater variability in the model's output.,['F003581774D3028EF53E61A002C20A6D36BA8E00']
+ag_314,What is Watson OpenScale?,"Watson OpenScale is a tool that helps organizations evaluate and monitor the performance of their AI models. It tracks and measures outcomes from AI models, and helps ensure that they remain fair, explainable, and compliant no matter where the models were built or are running. Watson OpenScale also detects and helps correct the drift in accuracy when an AI model is in production.",['777F72F32FD20E96C4A5F0CCA461FE9A79334E96']
+ag_786,What is a weight in an AI model?,"A weight is a coefficient for a node that transforms input data within the network's layer. It is a parameter that an AI model learns through training, adjusting its value to reduce errors in the model's predictions.",['F003581774D3028EF53E61A002C20A6D36BA8E00']
+ag_107,What is the difference between traditional AI models and foundation models?,"Traditional AI models are trained on large, structured, well-labeled data sets that encompass a specific task, and can be used for a single task. Foundation models are trained on large, diverse, unlabeled data sets and can be used for many different tasks.",['58C6D0A1C6DAD01E3F0F1748DC472C3DDCC07E43']
+ag_74,What is the difference between the Symmetric Mean Absolute Percentage Error (SMAPE) and the Root Mean Squared Error (RMSE) metrics?,"The Symmetric Mean Absolute Percentage Error (SMAPE) metric is calculated by dividing the absolute difference between the actual value and the predicted value by half the sum of the absolute actual value and the predicted value, and then averaging the result across all fitted points. The Root Mean Squared Error (RMSE) metric is calculated by taking the square root of the mean of the squared differences between the actual values and the predicted values.",['510BB82156702471C527D6EF7E51FE69EF746004']
+ag_70,How can you monitor the progress of a federated learning experiment?,"You can monitor the progress of a federated learning experiment by viewing a dynamic diagram of the training progress. The diagram shows the four stages of a training round: sending model, training, receiving models, and aggregating.",['3ACF4AABD6BE9C3BC0E0A363C3BFFFDD4A37B442']
+ag_917,What is RFM analysis?,"RFM analysis is a quantitative method for determining which customers are likely to be the best ones by examining how recently they last purchased from you (recency), how often they purchased (frequency), and how much they spent over all transactions (monetary).",['9E15D946EDFB82EF911D36032C073CF1736B39DA']
+ag_966,What is a knowledge base?,"A knowledge base is a collection of information-containing artifacts, such as process information in internal company wiki pages, files in GitHub, messages in a collaboration tool, topics in product documentation, text passages in a database like Db2, a collection of legal contracts in PDF files, or customer support tickets in a content management system.",['752D982C2F694FFEE2A312CEA6ADF22C2384D4B2']
+ag_42,"How do you edit, duplicate, insert, or delete a step in Data Refinery?","In the Steps pane, click the overflow menu on the step for the operation that you want to change. Select the action (Edit, Duplicate, Insert step before, Insert step after, or Delete). If you select Edit, Data Refinery goes into edit mode and either displays the operation to be edited on the command line or in the Operation pane. Apply the edited operation. If you select Duplicate, the duplicated step is inserted after the selected step. Note: The Duplicate action is not available for the Join or Union operations. Data Refinery updates the Data Refinery flow to reflect the changes and reruns all the operations.",['0999F59BB8E2E2AB7722D57CDBC051A0984ABE45']
+ag_39,What is an Analysis node in SPSS modeler?,An Analysis node is a node in a predictive model that allows you to evaluate the ability of the model to generate accurate predictions. It performs various comparisons between predicted values and actual values (your target field) for one or more model nuggets. You can also use Analysis nodes to compare predictive models to other predictive models.,['6D7B948346F167B5390A0E56E1B6DE83AE31A19A']
+ag_968,How do you save a Data Refinery flow?,"To save a Data Refinery flow, click the Save Data Refinery flow icon in the Data Refinery toolbar. The default output of the Data Refinery flow is saved as a data asset with the name source-file-name_shaped.csv. For example, if the source file is mydata.csv, the default name and output for the Data Refinery flow is mydata_csv_shaped. You can edit the name and add an extension by changing the target of the Data Refinery flow.",['0999F59BB8E2E2AB7722D57CDBC051A0984ABE45']
+ag_565,What are the different methods for tuning foundation models?,Foundation models can be tuned in two ways: fine-tuning and prompt-tuning. Fine-tuning changes the parameters of the underlying foundation model to guide the model to generate output that is optimized for a task. Prompt-tuning adjusts the content of the prompt that is passed to the model to guide the model to generate output that matches a pattern you specify. The underlying foundation model and its parameters are not edited. Only the prompt input is altered.,['15A014C514B00FF78C689585F393E21BAE922DB2']
+ag_284,How can I export the data from a Data Refinery flow to a CSV file?,"To export the data from a Data Refinery flow to a CSV file, click the Export icon on the toolbar. This will create a CSV file that is downloaded to your computer's Downloads folder (or the user-specified download location) at the current step in the Data Refinery flow. If you are in snapshot view, the output of the CSV file will be at the step that you clicked. If you are viewing a sample (subset) of the data, only the sample data will be in the output.",['0999F59BB8E2E2AB7722D57CDBC051A0984ABE45']
+ag_150,How do I import a space or a project to a new deployment space?,"To import a space or a project to a new deployment space, you need to create a new deployment space and enter the details for the space. Then, in the Upload space assets section, upload the exported compressed file that contains data assets and click Create. The assets from the exported file will be added as space assets.",['A11374B50B49477362FA00BBB32A277776F7E8E2']
+ag_82,What is the purpose of the Feature Selection node?,"The Feature Selection node is used to identify the most important fields for a given analysis. It consists of three steps: screening, ranking, and selecting. Screening removes unimportant and problematic inputs and records, or cases such as input fields with too many missing values or with too much or too little variation to be useful. Ranking sorts remaining inputs and assigns ranks based on importance. Selecting identifies the subset of features to use in subsequent models—for example, by preserving only the most important inputs and filtering or excluding all others.",['9E1CDB994E758D43D9D8CDC5D88E2B5C7E0088D7']
+ag_306,What is a Pareto chart?,A Pareto chart is a type of chart that contains both bars and a line graph. The bars represent individual variable categories and the line graph represents the cumulative total.,['6B4213FC5352021865E77592EBC27242E746B5AA']
+ag_769,What are the four main areas of Watson OpenScale?,"The four main areas of Watson OpenScale are Insights, Explain a transaction, Configuration, and Support. Insights displays the models that you are monitoring and provides status on the results of model evaluations. Explain a transaction describes how the model determined a prediction. Configuration can be used to select a database, set up a machine learning provider, and optionally add integrated services. Support provides you with resources to get the help you need with Watson OpenScale.",['777F72F32FD20E96C4A5F0CCA461FE9A79334E96']
+ag_300,What is artificial intelligence?,"Artificial intelligence is the capability to acquire, process, create and apply knowledge in the form of a model to make predictions, recommendations or decisions.",['F003581774D3028EF53E61A002C20A6D36BA8E00']