vania-janet/multiturn-rag-retrieval-data huggingface dataset:
About instance storage 

Instance storage is a set of one or more solid-state drives (full or isolated partial storage spaces) attached to your virtual server instance when the instance is provisioned. Instance storage is close to the compute resources of the virtual server and on a high-speed communication channel independent from the network. An instance storage disk provides fast, affordable, temporary storage to improve the performance of cloud native workloads with scratch space, caching buffers, or a place for replicated data. The data that is stored on instance storage is ephemeral, which means that the data is tied directly to the instance lifecycle. The instance storage disk is automatically created and destroyed with the instance. Instance storage data is not lost when an instance is only rebooted.

Instance storage is a complementary storage technology to the boot and block storage volumes for data offered with VPC. Some examples of use cases for instance storage disks are:



* Distributed File Systems: Technologies such as Hadoop Distributed File System (HDFS), which do triplication of the data across multiple servers. These technologies can improve read bandwidth and retain reliability by maintaining multiple copies of the data. It is recommended that at least three copies of the data, ideally across availability zones, are maintained when using Instance Storage for these workloads.
* Transactional jobs: Transaction processing usually creates a significant amount of temporary files. Instance Storage is a great place to temporarily store that data while the transactions are processed, with the result stored persistently on a data volume.
* Content Delivery Networks (CDNs): Improve performance for large geographically distributed applications with instance storage for fast, low cost, local data caching.





 Lifecycle of instance storage 

The lifecycle of instance storage is critical to understand. Without a proper understanding of its temporary nature, workloads could experience data loss.

The instance storage space is allocated and attached to the virtual server instance at the time of provisioning. It is an integral and inseparable element of the virtual server instance. If you reboot your instance (either from its operating system or through an IBM Cloud Management interface), the instance storage data is retained and the instance is reconnected to its original disks.
Data transport automation to Db2 on Cloud 

IBM Cloud® Data Engine supports automating the transport and transformation of data from IBM Cloud® Object Storage to IBM® Db2® on Cloud. Read how you can [automate serverless data pipelines for your data warehouse or data lakes](https://www.ibm.com/cloud/blog/announcements/automate-serverless-data-pipelines-for-your-data-warehouse-or-data-lakes).
See [Internet of Things](https://cloud.ibm.com/docs/overview?topic=overview-glossaryx6714341).





 iSCSI 

See [Internet Small Computer System Interface](https://cloud.ibm.com/docs/overview?topic=overview-glossaryx2119615).







 J 



 JAR file 

A Java archive file.





 JavaScript Object Notation (JSON) 

A lightweight data-interchange format that is based on the object-literal notation of JavaScript. JSON is programming-language neutral but uses conventions from various languages.





 JSON 

See [JavaScript Object Notation](https://cloud.ibm.com/docs/overview?topic=overview-glossaryx3292165).







 K 



 knowledge graph 

A model that consolidates typed entities, their relationships, their properties, and hierarchical taxonomies to represent an organization of concepts for a given domain. After the knowledge graph store is loaded with inputs from structured and unstructured data sources, users and applications can access the knowledge graph to explore key elements of knowledge for a specific domain, explore interactions, and discover additional relationships.







 L 



 label 

A user-defined identifier attached to a grouping of resources that are contained in an instance. Labels are visible only at an instance.





 layer 

A changed version of a parent image. Images consist of layers, where the changed version is layered on top of the parent image to create the new image. See also [image](https://cloud.ibm.com/docs/overview?topic=overview-glossaryx2024928), [container](https://cloud.ibm.com/docs/overview?topic=overview-glossaryx2010901).





 LBaaS 

See [load balancer as a service](https://cloud.ibm.com/docs/overview?topic=overview-glossaryx9829528).





 LDAP 

See [Lightweight Directory Access Protocol](https://cloud.ibm.com/docs/overview?topic=overview-glossaryx2028538).





 lemma
Discovery for IBM Cloud Pak for Data crawls, converts, and normalizes your unstructured data. The product applies data analysis and cognitive intuition to enrich your data such that you can more easily find and retrieve meaningful information from it later. To read more about Discovery, see the [product documentation](https://cloud.ibm.com/docs/discovery-data?topic=discovery-data-about).

Typically, the type of data collection you add to Discovery and access from your assistant contains information that is owned by your company. This proprietary information can include FAQs, sales collateral, technical manuals, or papers written by subject matter experts. Mine this dense collection of proprietary information to find answers to customer questions quickly.

The following diagram illustrates how user input is processed when both a dialog skill and a search skill are added to an assistant.

![Diagram that shows how some user input is answered by dialog and other questions are answered by search.](https://cloud.ibm.com/docs-content/v1/content/a2b18c153837bce00a5b4de496e4b4ca64bbf56e/assistant-data/images/search-skill-diagram.png)





 Before you begin 

If you do not have access to a provisioned instance of Discovery for IBM Cloud Pak for Data, then stop here. Install Discovery for IBM Cloud Pak for Data and provision an instance or get access to an existing instance. The search skill can connect only to an existing Discovery for IBM Cloud Pak for Data instance. And you must be given access to the instance before you can connect to it.





 Create the search skill 



1. Click the Skills icon ![Skills menu icon](https://cloud.ibm.com/docs-content/v1/content/a2b18c153837bce00a5b4de496e4b4ca64bbf56e/assistant-data/images/nav-skills-icon.png).

v1.3: Click the Skills tab. If you don't see the Skills tab, click the breadcrumb link in the page header.
2. Click Create skill.
}
Show more

--name
: The DNS hostname to associate with your load balancer.

--fallback-pool
: The pool ID to use when all other pools are detected as unhealthy.

--default-pools
: A list of pool IDs ordered by their failover priority.

--description
: The descriptive text of the load balancer.

--ttl
: Time to live (TTL) of the DNS entry for the IP address returned by this load balancer.

--az-pools
: A mapping of region and country codes to a list of pool IDs (ordered by their failover priority) for the region.

--enabled
: Whether the load balancer pool is enabled. Valid values: true, false.

-i, --instance
: Instance name or ID. If not set, the context instance specified by dns instance-target INSTANCE is used.

--output
: Specify output format. Currently, json is the only supported format.





 Examples 

Update global load balancer 699d98642c564d2e855e9661899b7252 in zone demo.com:31984fea73a15b45779fa0df4ef62f9b.

ibmcloud dns glb-update demo.com:31984fea73a15b45779fa0df4ef62f9b 699d98642c564d2e855e9661899b7252 --json @glb.json -i "dns-demo"







 ibmcloud dns glb 

Show a global load balancer in a zone.

ibmcloud dns glb DNS_DOMAIN_ID GLB_ID [-i, --instance INSTANCE] [--output FORMAT]



 Command options 

DNS_DOMAIN_ID
: The ID of DNS zone. Required.

GLB_ID
: The ID of global load balancer. Required.

-i, --instance
Once these permissions are set, the credentials of a user determine whether access to a data object through IBM Analytics Engine can be granted or not.

In addition, all data in Object Storage can be cataloged using IBM Watson Knowledge Catalog. Governance policies can be defined and enforced after the data was cataloged. Projects created in Watson Studio can be used for a better management of user access control.
* Can I run a cluster or job for a long time?

Yes, you can run a cluster for as long as is required. However, to prevent data loss in case of an accidental cluster failure, you should ensure that data is periodically written to IBM Cloud Object Storage and that you don't use HDFS as a persistent store.
* What is IBM Analytics Engine?

IBM Analytics Engine provides a flexible framework to develop and deploy analytics applications on Hadoop and Spark. It allows you to spin up Hadoop and Spark clusters and manage them through their lifecycle.
* How is an IBM Analytics Engine cluster different from a regular Hadoop cluster?

IBM Analytics Engine is based on an architecture which separates compute and storage. In a traditional Hadoop architecture, the cluster is used to both store data and perform application processing. In IBM Analytics Engine, storage and compute are separated. The cluster is used for running applications and IBM Cloud Object Storage for persisting the data. The benefits of such an architecture include flexibility, simplified operations, better reliability and cost effectiveness. Read this [whitepaper](https://www.ibm.com/downloads/cas/KDPB1REE) to learn more.
* How do I get started with IBM Analytics Engine?

IBM Analytics Engine is available on IBM Cloud. See [Getting started with IBM Analytics Engine](https://cloud.ibm.com/docs/AnalyticsEngine?topic=AnalyticsEngine-getting-started) to learn more about the service and to start using it. You will also find tutorials and code samples to get you off to a fast start.
* Which distribution is used in IBM Analytics Engine?

IBM Analytics Engine is based on open source Hortonworks Data Platform (HDP).
If not set, the context instance specified by ibmcloud cis instance-set INSTANCE is used.--output: Specify output format, only JSON is supported.<-- </section "id="section-firewall-event-analytics-options" "> --><-- <section "id="section-firewall-event-analytics-examples" "> --> Examples Get firewall event analytics for domain 31984fea73a15b45779fa0df4ef62f9b. ibmcloud cis firewall-event-analytics 31984fea73a15b45779fa0df4ef62f9b --order datetime_ASC --filter "datetime_geq:2020-06-28T00:00:00Z" --filter "datetime_leq:2020-06-29T00:00:00Z" --output json
<-- </section "id="section-firewall-event-analytics-examples" "> --><-- </section "id="section-firewall-event-analytics" "> --><-- <section "id="section-http-request-analytics" "> --> ibmcloud cis http-request-analytics Retrieve a full log of http request events. ibmcloud cis http-request-analytics DNS_DOMAIN_ID --dataset DATA_SET] --filter FILTER] --order FILTER_ORDER] --limit LIMIT_NUMBER] -i, --instance INSTANCE] --output FORMAT] ! !! !!!!!!!! !!!!!!!!!! ! ! ! ! !
<-- <section "id="section-http-request-analytics-options" "> --> Command options DNS_DOMAIN_ID: The ID of DNS domain. Required.--dataset: Requested dataset. The default value is httpRequests1dGroups. Use the following table to identify which datasets are included in your plan and the range of historical data you can query.
* [IBM Cloud Object Storage](https://cloud.ibm.com/docs/containers?topic=containers-storage-planstorage-plan-cos)
* [Portworx](https://cloud.ibm.com/docs/containers?topic=containers-storage-planstorage-plan-portworx)
* [Databases](https://cloud.ibm.com/docs/containers?topic=containers-storage-planstorage-plan-databases)





[Understanding Kubernetes storage basics](https://cloud.ibm.com/docs/containers?topic=containers-kube_conceptskube_concepts)



* [Persistent volumes and persistent volume claims](https://cloud.ibm.com/docs/containers?topic=containers-kube_conceptspvc_pv)
* [Dynamic provisioning](https://cloud.ibm.com/docs/containers?topic=containers-kube_conceptsdynamic_provisioning)
* [Static provisioning](https://cloud.ibm.com/docs/containers?topic=containers-kube_conceptsstatic_provisioning)
* [Storage classes](https://cloud.ibm.com/docs/containers?topic=containers-kube_conceptsstorageclasses)
* [Next steps](https://cloud.ibm.com/docs/containers?topic=containers-kube_conceptsnext-steps-storage)



[Setting up classic IBM Cloud File Storage for Classic](https://cloud.ibm.com/docs/containers?topic=containers-file_storagefile_storage)



* [Quick start for IBM Cloud Classic File Storage for Classic](https://cloud.ibm.com/docs/containers?topic=containers-file_storagefile_qs)
* [Deciding on the File Storage for Classic configuration](https://cloud.ibm.com/docs/containers?topic=containers-file_storagefile_predefined_storageclass)
BI.S4.H4.3000 (VMware) IBM Cloud for VMware 112 224 3,072 257,373 Intel Cascade Lake SP 13.71 TDI OLAP/OLTP Classic 
 BI.S4.H4.6000 (VMware) IBM Cloud for VMware 112 224 6,144 257,373 Intel Cascade Lake SP 27.43 TDI OLAP/OLTP Classic 
 BI.S4.H8.6000 (VMware) IBM Cloud for VMware 224 448 6,144 495,603 Intel Cascade Lake SP 13.71 TDI OLAP/OLTP Classic 
 BI.S4.H2.384GB RAM + 1.5TB PMEM IBM Cloud Bare Metal (Local SSD + Intel Optane DC PMEM) 56 112 1884 Intel Cascade Lake SP 16.82 TDI OLTP Classic 
 BI.S4.H2.768GB RAM + 1.5TB PMEM IBM Cloud Bare Metal (Local SSD + Intel Optane DC PMEM) 56 112 2268 Intel Cascade Lake SP 20.25 TDI OLTP Classic 
 BI.S4.H2.768GB RAM + 3TB PMEM IBM Cloud Bare Metal (Local SSD + Intel Optane DC PMEM) 56 112 3072 Intel Cascade Lake SP 27.43 TDI OLTP Classic 
 BI.S4.H2.1.5TB RAM + 1.5TB PMEM IBM Cloud Bare Metal (Local SSD + Intel Optane DC PMEM) 56 112 3768 Intel Cascade Lake SP 33.64 TDI OLAP/OLTP Classic 
 BI.S4.H2.1.5TB RAM + 3TB PMEM IBM Cloud Bare Metal (Local SSD + Intel Optane DC PMEM) 112 224 3768 Intel Cascade Lake SP 16.82 TDI OLAP/OLTP Classic 
 BI.S4.H4.768GB RAM + 3TB PMEM IBM Cloud Bare Metal (Local SSD + Intel Optane DC PMEM) 56 112 4608 Intel Cascade Lake SP 41.14 TDI OLTP Classic
Sao Paulo 04 SAO04 
 Sao Paulo 05 SAO05 
 Toronto 01 TOR01 
 Toronto 04 TOR04 
 Toronto 05 TOR05 
 Washington DC 01 WDC01 
 Washington DC 03 <br><br>[2] WDC03 
 Washington DC 04 WDC04 
 Washington DC 06 WDC06 
 Washington DC 07 WDC07 



The table includes certain data centers that are set to close soon. For the list of data centers that are closing, see [Data center closures](https://cloud.ibm.com/docs/get-support?topic=get-support-dc-closure).





 Viewing resources by location 

You can view all resources and locations from the Resource list page in the console. If you want to view and work with resources in a specific location, expand the Location filter, and select a location from the list. By expanding a specific location, you can select to filter by individual data centers, regions, or zones.

Depending on the type of resource, you might be interested in only specific types of location data. For example, if you created a service or VPC infrastructure service, you can filter the Resource list page by the region and zone codes. However, if you're working with classic infrastructure resources, the specific data center codes are the pertinent information for you.

For example, if you have resources that are deployed in the London 2 (eu-gb-2) zone, you can set filters to display only those resources in your resource list. Expand the London metro option, and the London (eu-gb) region option. Within that region, you can select from the list of available zones, such as London 2 (eu-gb-2). If you have a classic infrastructure resource that is deployed in a specific data center, you can identify the data center by the specific metro location and alphanumeric code. For example, use Dallas for the metro location and then Dallas 05 (dal05) for the data center.

You might also want to display your resources that are located globally. The Global option means that only one logical, globally accessible instance of the service, independent of any region or zone, is published to customer applications.
BI.S3.H2.192 IBM Cloud Bare Metal (Local SSD) <br><br> * [OLAP Record](https://www.sap.com/dmc/exp/2014-09-02-hana-hardware/enEN//solutions?filters=iaas&id=s:2019)<br> * [OLTP Record](https://www.sap.com/dmc/exp/2014-09-02-hana-hardware/enEN//solutions?filters=iaas&id=s:2256)<br> * [Business One Record](https://www.sap.com/dmc/exp/2014-09-02-hana-hardware/enEN//solutions?filters=iaas&id=s:2201)<br><br><br> 
 BI.S3.H2.384 IBM Cloud Bare Metal (Local SSD) <br><br> * [OLAP Record](https://www.sap.com/dmc/exp/2014-09-02-hana-hardware/enEN//solutions?filters=iaas&id=s:2020)<br> * [OLTP Record](https://www.sap.com/dmc/exp/2014-09-02-hana-hardware/enEN//solutions?filters=iaas&id=s:2255)<br> * [Business One Record](https://www.sap.com/dmc/exp/2014-09-02-hana-hardware/enEN//solutions?filters=iaas&id=s:2202)<br><br><br>
A machine learning model can be configured with one or more independent dictionaries, which are typically domain-specific, such a dictionary for pharmaceuticals and a dictionary for wealth management. See also [lemma](https://cloud.ibm.com/docs/overview?topic=overview-glossaryx2763345), [surface form](https://cloud.ibm.com/docs/overview?topic=overview-glossaryx3271760).





 dictionary pre-annotator 

A component that identifies mentions in text that match a specific set of words. By using domain-specific terminology to pre-annotate text, dictionary pre-annotators can accelerate a human annotator's ability to prepare a set of ground truth documents.





 disaster recovery (DR) 

The ability of IT services to recover from rare but major incidents and non-transient, wide-scale failures, such as service disruption that affects an entire geographical area. The impact of such an incident exceeds the ability of the high availability design to handle it. See also high availability, recovery time objective, recovery point objective. See also [high availability](https://cloud.ibm.com/docs/overview?topic=overview-glossaryx2284708), [recovery time objective](https://cloud.ibm.com/docs/overview?topic=overview-glossaryx3167918), [recovery point objective](https://cloud.ibm.com/docs/overview?topic=overview-glossaryx3429911).





 Dockerfile 

A text file that contains instructions to build a Docker image.





 document set 

A collection of documents. Documents that are imported together become a document set. Annotated documents that are grouped together for training purposes are generated as document sets.





 domain 

Part of a naming hierarchy that specifies the route. For example, example.com. In IBM Cloud, domains are associated with orgs. Domain objects are not directly bound to apps.
When you download data for analysis, you are responsible for ensuring that your users comply with the regulations and compliance requirements that may be required for your organization. For example, if you must comply with GDPR, you need to control that users are following the download guidelines per GDPR rules.

You can use the Data Engine service to query IBM Cloud Activity Tracker archived files that are stored in a COS bucket in your account. You can run queries from the IBM Cloud UI, or programmatically.

Avoid downloading data locally. Use the Data Engine service to query archived data.

The Data Engine service provides a server-less, no-ETL solution to easily query data stored in Object Storage. SQL Query uses Apache Spark SQL as its underlying query engine. You can use the Data Engine to run SQL queries (that is, SELECT statements) to analyze, transform structured and semi-structured data, or clean up rectangular data. You cannot run actions such as CREATE, DELETE, INSERT, and UPDATE.

The Data Engine service can process input data that is read from CSV, JSON, ORC, Parquet, or AVRO files. Archived files from an IBM Cloud Activity Tracker instance contain data in JSON format. When you use the Data Engine service, each query result can be written to a CSV, JSON, ORC, PARQUET, or AVRO file in an Object Storage instance of your choice.

When you query an IBM Cloud Activity Tracker archive file, you must [convert the JSON formatted file into PARQUET format](https://cloud.ibm.com/docs/activity-tracker?topic=activity-tracker-sqlquerysqlquery_step3_4) to be able to query the contents successfully.

Use the Data Engine user interface (UI) to develop and test your queries, and the [SQL Query REST API](https://cloud.ibm.com/docs/activity-tracker?topic=activity-tracker-adoptionrestapi) to automate them.

If you plan to use the Data Engine service, and you require HIPAA compliance, create a bucket for your archives that uses a custom key to encrypt the data.
profiles](https://registry.terraform.io/providers/IBM-Cloud/ibm/latest/docs/data-sources/is_dedicated_host_profiles)<br> * [ibm_is_dedicated_hosts](https://registry.terraform.io/providers/IBM-Cloud/ibm/latest/docs/data-sources/is_dedicated_hosts)<br> * [ibm_is_endpoint_gateway_targets](https://registry.terraform.io/providers/IBM-Cloud/ibm/latest/docs/data-sources/is_endpoint_gateway_targets)<br> * [ibm_is_floating_ip](https://registry.terraform.io/providers/IBM-Cloud/ibm/latest/docs/data-sources/is_floating_ip)<br> * [ibm_is_floating_ips](https://registry.terraform.io/providers/IBM-Cloud/ibm/latest/docs/data-sources/is_floating_ips)<br> * [ibm_is_flow_log](https://registry.terraform.io/providers/IBM-Cloud/ibm/latest/docs/data-sources/is_flow_log)<br> * [ibm_is_flow_logs](https://registry.terraform.io/providers/IBM-Cloud/ibm/latest/docs/data-sources/is_flow_logs)<br
_dl_offering_speeds](https://registry.terraform.io/providers/IBM-Cloud/ibm/latest/docs/data-sources/dl_offering_speeds)<br> * [ibm_dl_port](https://registry.terraform.io/providers/IBM-Cloud/ibm/latest/docs/data-sources/dl_port)<br> * [ibm_dl_ports](https://registry.terraform.io/providers/IBM-Cloud/ibm/latest/docs/data-sources/dl_ports)<br> * [ibm_dl_provider_gateways](https://registry.terraform.io/providers/IBM-Cloud/ibm/latest/docs/data-sources/dl_provider_gateways)<br> * [ibm_dl_provider_ports](https://registry.terraform.io/providers/IBM-Cloud/ibm/latest/docs/data-sources/dl_provider_ports)<br> * [ibm_dl_route_report](https://registry.terraform.io/providers/IBM-Cloud/ibm/latest/docs/data-sources/dl_route_report)<br> * [ibm_dl_route_reports](https://registry.terraform.io/providers/IBM-Cloud/ibm/latest/docs/data-sources/dl_route_reports)<br> * [ibm_dl_routers](https://registry.terraform.io/providers/IBM-Cloud/ibm/latest/docs/data-sources/dl_routers)<br><br><br> 







 Enterprise Management 



 Resources Data sources
* [Purge Group container](https://cloud.ibm.com/docs/CDN?topic=CDN-purge-group-container)
* [Purge History container](https://cloud.ibm.com/docs/CDN?topic=CDN-purge-history-container)



* [Activity Tracker events for CDN](https://cloud.ibm.com/docs/CDN?topic=CDN-at_events)
* [Code examples that use the CDN API](https://cloud.ibm.com/docs/CDN?topic=CDN-code-examples-using-the-cdn-api)
* [List of Edge servers](https://cloud.ibm.com/docs/CDN?topic=CDN-list-of-edge-servers)
* [Legacy customer portal](https://cloud.ibm.com/docs/CDN?topic=CDN-legacy-customer-portal)
* Regions



* [Asia region](https://cloud.ibm.com/docs/CDN?topic=CDN-asia-region)
* [EMEA region](https://cloud.ibm.com/docs/CDN?topic=CDN-emea-region)
* [North American region](https://cloud.ibm.com/docs/CDN?topic=CDN-north-american-region)
* [South American region](https://cloud.ibm.com/docs/CDN?topic=CDN-south-american-region)





* Help



* [FAQs for CDN](https://cloud.ibm.com/docs/CDN?topic=CDN-faqs)
* [FAQs for HTTPS](https://cloud.ibm.com/docs/CDN?topic=CDN-faq-for-https)
* [FAQs for rules and naming conventions](https://cloud.ibm.com/docs/CDN?topic=CDN-rules-and-naming-conventions)