NemoCurator Content Type Classifier DeBERTa

Model Overview

This is a text classification model designed to categorize documents into one of 11 distinct speech types based on their content. It analyzes and understands the nuances of textual information, enabling accurate classification across a diverse range of content types. The model's classifications include:

Product/Company/Organization/Personal Websites: Informational pages about companies, products, or individuals.
Explanatory Articles: Detailed, informative articles that aim to explain concepts or topics.
News: News articles covering current events, updates, and factual reporting.
Blogs: Personal or opinion-based entries typically found on blogging platforms.
MISC: Miscellaneous content that doesn’t fit neatly into the other categories.
Boilerplate Content: Standardized text used frequently across documents, often repetitive or generic.
Analytical Exposition: Analytical or argumentative pieces with in-depth discussion and evaluation.
Online Comments: Short, often informal comments typically found on social media or forums.
Reviews: Content sharing opinions or assessments about products, services, or experiences.
Books and Literature: Excerpts or full texts from books, literary works, or similar long-form writing.
Conversational: Informal, dialogue-like text that mimics a conversational tone.

License

This model is released under the NVIDIA Open Model License Agreement.

References

Model Architecture

The model architecture is Deberta V3 Base
Context length is 1024 tokens

How to Use in NVIDIA NeMo Curator

NeMo Curator improves generative AI model accuracy by processing text, image, and video data at scale for training and customization. It also provides pre-built pipelines for generating synthetic data to customize and evaluate generative AI systems.

The inference code for this model is available through the NeMo Curator GitHub repository. Check out this example notebook to get started.

Input & Output

Input

Input Type: Text
Input Format: String
Input Parameters: 1D
Other Properties Related to Input: Token Limit of 1024 tokens

Output

Output Type: Text Classification
Output Format: String
Output Parameters: 1D
Other Properties Related to Output: None

The model takes one or several paragraphs of text as input. Example input:

Brent awarded for leading collaborative efforts and leading SIA International Relations Committee.\n\nMar 20, 2018\n\nThe Security Industry Association (SIA) will recognize Richard Brent, CEO, Louroe Electronics with the prestigious 2017 SIA Chairman's Award for his work to support leading the SIA International Relations Committee and supporting key government relations initiatives.\n\nWith his service on the SIA Board of Directors and as Chair of the SIA International Relations Committee, Brent has forged relationships between SIA and agencies like the U.S. Commercial Service. A longtime advocate for government engagement generally and exports specifically, Brent's efforts resulted in the publication of the SIA Export Assistance Guide last year as a tool to assist SIA member companies exploring export opportunities or expanding their participation in trade.\n\nSIA Chairman Denis Hébert will present the SIA Chairman's Award to Brent at The Advance, SIA's annual membership meeting, scheduled to occur on Tuesday, April 10, 2018, at ISC West.\n\n\"As the leader of an American manufacturing company, I have seen great business opportunities in foreign sales,\" said Brent. \"Through SIA, I have been pleased to extend my knowledge and experience to other companies that can benefit from exporting. And that is the power of SIA: To bring together distinct companies to share expertise across vertical markets in a collaborative fashion. I'm pleased to contribute, and I thank the Chairman for his recognition.\"\n\n\"As a member of the SIA Board of Directors, Richard Brent is consistently engaged on a variety of issues of importance to the security industry, particularly related to export assistance programs that will help SIA members to grow their businesses,\" said Hébert. \"His contributions in all areas of SIA programming have been formidable, but we owe him a particular debt in sharing his experiences in exporting. Thank you for your leadership, Richard.\"\n\nHébert will present SIA award recipients, including the SIA Chairman's Award, SIA Committee Chair of the Year Award and Sandy Jones Volunteer of the Year Award, at The Advance, held during ISC West in Rooms 505/506 of the Sands Expo in Las Vegas, Nevada, on Tuesday, April 10, 10:30-11:30 a.m. Find more info and register at https://www.securityindustry.org/advance.\n\nThe Advance is co-located with ISC West, produced by ISC Security Events. Security professionals can register to attend the ISC West trade show and conference, which runs April 10-13, at http://www.iscwest.com.\n

The model outputs one of the 11 type-of-speech classes as the predicted domain for each input sample. Example output:

News\n

Software Integration

Runtime Engine: Python 3.10 and NeMo Curator
Supported Hardware Microarchitecture Compatibility: NVIDIA GPU, Volta™ or higher (compute capability 7.0+), CUDA 12 (or above)
Preferred/Supported Operating System(s): Ubuntu 22.04/20.04

Training, Testing, and Evaluation Dataset

Training Data

Link: Jigsaw Toxic Comments, Jigsaw Unintended Biases Dataset, Toxigen Dataset, Common Crawl, Wikipedia
Data collection method by dataset\n
- Downloaded
\n
Labeling method by dataset\n
- Human
\n
Properties:\n
- 25,000 Common Crawl samples were labeled by an external vendor. Each sample was labeled by three annotators.
- The model is trained on the 19604 samples that are agreed by at least two annotators.
\n

Label distribution:

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

tr:nth-child(odd)]:bg-surface-sunken\">

Category	Count
Product/Company/Organization/Personal Websites	5227
Blogs	4930
News	2933
Explanatory Articles	2457
Analytical Exposition	1508
Online Comments	982
Reviews	512
Boilerplate Content	475
MISC	267
Books and Literature	164
Conversational	149

Evaluation

Metric: PR-AUC

Cross validation PR-AUC on the 19604 samples:

Produ=0.697, Expla=0.668, News=0.859, Blogs=0.872, MISC=0.593, Boile=0.383, Analy=0.371, Onlin=0.753, Revie=0.612, Books=0.462, Conve=0.541, avg AUC=0.6192, accuracy=0.6805\n

Cross validation PR-AUC on the 7738 subset that are agreed by all three annotators:

Produ=0.869, Expla=0.854, News=0.964, Blogs=0.964, MISC=0.876, Boile=0.558, Analy=0.334, Onlin=0.893, Revie=0.825, Books=0.780, Conve=0.793, avg AUC=0.7917, accuracy=0.8444\n

Inference

Engine: PyTorch
Test Hardware: V100

Ethical Considerations

NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.

Please report security vulnerabilities or NVIDIA AI Concerns here.

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It analyzes and understands the nuances of textual information, enabling accurate classification across a diverse range of content types. The model's classifications include:\n\n* Product/Company/Organization/Personal Websites: Informational pages about companies, products, or individuals.\n* Explanatory Articles: Detailed, informative articles that aim to explain concepts or topics.\n* News: News articles covering current events, updates, and factual reporting.\n* Blogs: Personal or opinion-based entries typically found on blogging platforms.\n* MISC: Miscellaneous content that doesn’t fit neatly into the other categories.\n* Boilerplate Content: Standardized text used frequently across documents, often repetitive or generic.\n* Analytical Exposition: Analytical or argumentative pieces with in-depth discussion and evaluation.\n* Online Comments: Short, often informal comments typically found on social media or forums.\n* Reviews: Content sharing opinions or assessments about products, services, or experiences.\n* Books and Literature: Excerpts or full texts from books, literary works, or similar long-form writing.\n* Conversational: Informal, dialogue-like text that mimics a conversational tone.\n\n# License\nThis model is released under the [NVIDIA Open Model License Agreement](https://developer.download.nvidia.com/licenses/nvidia-open-model-license-agreement-june-2024.pdf).\n\n# References\n* [DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing](https://arxiv.org/abs/2111.09543)\n* [DeBERTa: Decoding-enhanced BERT with Disentangled Attention](https://github.com/microsoft/DeBERTa)\n\n# Model Architecture\n* The model architecture is Deberta V3 Base \n* Context length is 1024 tokens\n\n# How to Use in NVIDIA NeMo Curator\nNeMo Curator improves generative AI model accuracy by processing text, image, and video data at scale for training and customization. It also provides pre-built pipelines for generating synthetic data to customize and evaluate generative AI systems.\n\nThe inference code for this model is available through the NeMo Curator GitHub repository. Check out this [example notebook](https://github.com/NVIDIA/NeMo-Curator/tree/main/tutorials/distributed_data_classification) to get started.\n\n# Input & Output\n## Input\n* Input Type: Text\n* Input Format: String\n* Input Parameters: 1D \n* Other Properties Related to Input: Token Limit of 1024 tokens\n\n## Output\n* Output Type: Text Classification\n* Output Format: String \n* Output Parameters: 1D \n* Other Properties Related to Output: None\n\nThe model takes one or several paragraphs of text as input. Example input:\n\n```\nBrent awarded for leading collaborative efforts and leading SIA International Relations Committee.\n\nMar 20, 2018\n\nThe Security Industry Association (SIA) will recognize Richard Brent, CEO, Louroe Electronics with the prestigious 2017 SIA Chairman's Award for his work to support leading the SIA International Relations Committee and supporting key government relations initiatives.\n\nWith his service on the SIA Board of Directors and as Chair of the SIA International Relations Committee, Brent has forged relationships between SIA and agencies like the U.S. Commercial Service. A longtime advocate for government engagement generally and exports specifically, Brent's efforts resulted in the publication of the SIA Export Assistance Guide last year as a tool to assist SIA member companies exploring export opportunities or expanding their participation in trade.\n\nSIA Chairman Denis Hébert will present the SIA Chairman's Award to Brent at The Advance, SIA's annual membership meeting, scheduled to occur on Tuesday, April 10, 2018, at ISC West.\n\n\"As the leader of an American manufacturing company, I have seen great business opportunities in foreign sales,\" said Brent. \"Through SIA, I have been pleased to extend my knowledge and experience to other companies that can benefit from exporting. And that is the power of SIA: To bring together distinct companies to share expertise across vertical markets in a collaborative fashion. I'm pleased to contribute, and I thank the Chairman for his recognition.\"\n\n\"As a member of the SIA Board of Directors, Richard Brent is consistently engaged on a variety of issues of importance to the security industry, particularly related to export assistance programs that will help SIA members to grow their businesses,\" said Hébert. \"His contributions in all areas of SIA programming have been formidable, but we owe him a particular debt in sharing his experiences in exporting. Thank you for your leadership, Richard.\"\n\nHébert will present SIA award recipients, including the SIA Chairman's Award, SIA Committee Chair of the Year Award and Sandy Jones Volunteer of the Year Award, at The Advance, held during ISC West in Rooms 505/506 of the Sands Expo in Las Vegas, Nevada, on Tuesday, April 10, 10:30-11:30 a.m. Find more info and register at https://www.securityindustry.org/advance.\n\nThe Advance is co-located with ISC West, produced by ISC Security Events. Security professionals can register to attend the ISC West trade show and conference, which runs April 10-13, at http://www.iscwest.com.\n```\n\nThe model outputs one of the 11 type-of-speech classes as the predicted domain for each input sample. Example output:\n\n```\nNews\n```\n\n# Software Integration\n* Runtime Engine: Python 3.10 and NeMo Curator\n* Supported Hardware Microarchitecture Compatibility: NVIDIA GPU, Volta™ or higher (compute capability 7.0+), CUDA 12 (or above)\n* Preferred/Supported Operating System(s): Ubuntu 22.04/20.04\n\n# Training, Testing, and Evaluation Dataset\n## Training Data\n* Link: Jigsaw Toxic Comments, Jigsaw Unintended Biases Dataset, Toxigen Dataset, Common Crawl, Wikipedia\n* Data collection method by dataset\n * Downloaded\n* Labeling method by dataset\n * Human\n* Properties:\n * 25,000 Common Crawl samples were labeled by an external vendor. Each sample was labeled by three annotators.\n * The model is trained on the 19604 samples that are agreed by at least two annotators.\n\nLabel distribution:\n\n| Category | Count |\n|----------------------------------------|-------|\n| Product/Company/Organization/Personal Websites | 5227 |\n| Blogs | 4930 |\n| News | 2933 |\n| Explanatory Articles | 2457 |\n| Analytical Exposition | 1508 |\n| Online Comments | 982 |\n| Reviews | 512 |\n| Boilerplate Content | 475 |\n| MISC | 267 |\n| Books and Literature | 164 |\n| Conversational | 149 |\n\n## Evaluation\n* Metric: PR-AUC\n\nCross validation PR-AUC on the 19604 samples:\n\n```\nProdu=0.697, Expla=0.668, News=0.859, Blogs=0.872, MISC=0.593, Boile=0.383, Analy=0.371, Onlin=0.753, Revie=0.612, Books=0.462, Conve=0.541, avg AUC=0.6192, accuracy=0.6805\n```\n\nCross validation PR-AUC on the 7738 subset that are agreed by all three annotators:\n\n```\nProdu=0.869, Expla=0.854, News=0.964, Blogs=0.964, MISC=0.876, Boile=0.558, Analy=0.334, Onlin=0.893, Revie=0.825, Books=0.780, Conve=0.793, avg AUC=0.7917, accuracy=0.8444\n```\n\n# Inference\n* Engine: PyTorch\n* Test Hardware: V100\n\n# Ethical Considerations\nNVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.\n\nPlease report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability).","displayName","NemoCurator Content Type Classifier DeBERTa",["D",1738603591035],"publisher","NVIDIA","latestVersion","versions","collectionCounts","imageUrl","/api/image/nvidia/nemo/models/content-type-classifier-deberta","rawImageUrl","https://huggingface.co/nvidia/quality-classifier-deberta/resolve/main/llm-blog-data-curator-2847806-1920x1080.png","canGuestDownload","latestVersionSizeInBytes","licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[237,238,239,240,241],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_204":259,"_243":260,"_244":261,"_246":247},{"_204":256,"_243":256,"_244":257,"_246":247},{"_204":252,"_243":253,"_244":254,"_246":247},{"_204":249,"_243":249,"_244":250,"_246":247},{"_204":242,"_243":242,"_244":245,"_246":247},"NSPECT-BIHQ-D9GP","value","filter",{"_248":247,"_243":242},"category","label","field","NeMo",{"_248":251,"_243":249},"framework","Natural Language Processing","uscs_natural_language_processing",{"_248":255,"_243":253},"application","English",{"_248":258,"_243":256},"language","Annotation","uscs_annotation",{"_248":255,"_243":260},{"_107":1437,"_109":1438},"ngcApps",[1390],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1371":1372,"_1373":1374,"_1375":1376,"_1377":1378,"_1379":273,"_138":297,"_1380":1381,"_1382":55,"_1383":86,"_1384":86,"_1385":1386,"_1387":86,"_1388":1389},"amplitude",{"_1368":1369,"_970":-7,"_1370":30},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmNoaW5hTmltRGlzdHJpYnV0b3JzUmVkZXNpZ24lMjIlM0F0cnVlJTJDJTIyZW5hYmxlQ3NhV2lkZ2V0JTIyJTNBZmFsc2UlMkMlMjJlbmFibGVQcm9kdWN0R3JvdXBpbmdCeVN1YnNjcmlwdGlvbiUyMiUzQWZhbHNlJTJDJTIyY29udGFpbmVyU2Nhbm5pbmdSZWRlc2lnbk0xJTIyJTNBdHJ1ZSU3RA==","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1362":1363,"_1364":1365,"_1366":1367},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"1.7.3","defaultSearchSuggestions",{"_1245":222,"_1246":1247,"_1248":1249,"_1250":1251},"announcements",[],"consentState",{"_336":1235,"_1236":86,"_1237":30,"_1238":30,"_1239":1240},"consentConfig",{"_318":319,"_320":321,"_322":323,"_324":325,"_326":327,"_328":329,"_330":331,"_332":333,"_334":335,"_336":337},"showContactAdmin",1784119330258,[],[],[311,312,313,314,315,316],{"_44":59,"_46":70,"_48":102,"_50":-5,"_52":-5,"_54":55},{"_44":59,"_46":68,"_48":102,"_50":-5,"_52":-5,"_54":55},{"_44":59,"_46":66,"_48":102,"_50":-5,"_52":-5,"_54":55},{"_44":59,"_46":60,"_48":102,"_50":-5,"_52":-5,"_54":55},{"_44":56,"_46":57,"_48":49,"_50":51,"_52":317,"_54":55},{"_44":45,"_46":47,"_48":102,"_50":-5,"_52":-5,"_54":55},4,"mainInfoText","We and our third-party partners (including social media, advertising, and analytics partners) use cookies and other tracking technologies to collect, store, monitor, and process certain information about you when you visit our website. 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This function remembers how far the user has scrolled on the current session across the website's sub-pages.","dmn_chk_-xxxxxxxxxxxx","com","Posthog Analytics","_hly_vid","This cookie _hly_vid is used to record website and server performance with each visit to the site. The data is aggregated and analyzed; therefore, it remains anonymous upon use.","_cs_id","blogs.nvidia.com","_session_id","resources.nvidia.com","This cookie creates an interim session ID used as an in-session user ID.\n","s_cc","This cookie is associated with the Adobe Site Catalyst. It determines whether cookies are enabled in the web browser.","_hjSessionUser_xxxxxx","Hotjar cookie that is set when a user first lands on a page with the Hotjar script. It is used to persist the Hotjar User ID, unique to that site on the browser. 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As part of our bot management service, this cookie helps manage incoming traffic that matches criteria associated with bots.\nThis is a CloudFoundry cookie","OptanonConsent","nvid.nvidia.com","This cookie is set by the cookie compliance solution from OneTrust. It stores information about the categories of cookies the site uses and whether visitors have given or withdrawn consent for the use of each category. This enables site owners to prevent cookies in each category from being set in the users browser, when consent is not given. The cookie has a normal lifespan of one year, so that returning visitors to the site will have their preferences remembered. It contains no information that can identify the site visitor.","events.nvidia.com","This cookie is associated with the Amazon Web Services Elastic Load Balancing functionality for routing client request on the server.Used to attribute commission to affiliates when you arrive at the website from an affiliate referral link. It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","sessionid","This is a very generic cookie name that may have different purposes on different sites, but generally it will be some kind of anonymous session identifier.","_csrf","This cookie is used to prevent Cross-Site Request Forgery (CSRF) attacks, ensuring that each request made to the server is from the user's browser and is intentional.","enterprise-support.nvidia.com","Used to apply end-user cookie consent preferences set by our client-side utility.Custom- Short Duration. Unique ID of an Enquiry- used to validate access to case, and load exisiting data.\n","renderCtx","academicgrants.nvidia.com","Used to store site parameters in the session for reuse across requests by a single client for functionality and performance reasons.","ph_phc_yQgAEdJJkVpI24NdSRID2mor1x1leRpDoC9yZ9mfXal_posthog","The PostHog ph_phc_xxx cookie is a session cookie used for identifying and tracking visitors on websites, helping us understand user behavior and website performance.","This cookie is managed by AWS and is used for load balancing.Used to attribute commission to affiliates when you arrive at the website from an affiliate referral link. It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","This cookie is associated with Akamai and is used to differentiate between traffic from humans and bots.","OptanonAlertBoxClosed","docs.ngc.nvidia.com","This cookie is set by websites using certain versions of the cookie law compliance solution from OneTrust. It is set after visitors have seen a cookie information notice and in some cases only when they actively close the notice down. It enables the website not to show the message more than once to a user. The cookie has a normal lifespan of one year and contains no personal information.","nv_co","__uxq412__ses.88c1","investor.nvidia.com","learn.learn.nvidia.com","This cookie is associated with the Amazon Web Services Elastic Load Balancing functionality for routing client request on the server.","pctrk","Used to count page views by unauthenticated users against license usage.","bm_s","bpazaws52gukakzc__ctrl0_ctl36_uccaptcha","bm_sv","store.nvidia.com","The __cf_bm cookie is a cookie necessary to support Cloudflare Bot Management, currently in private beta. As part of our bot management service, this cookie helps manage incoming traffic that matches criteria associated with bots.\n","This cookie name is used by DataDog to determine if cookies are supported on the website.dd_cookie_test","AMP_TLDTEST_xxxxxxxx","SESSlsd","This cookie is likely to be a session identifier used to maintain user session state across page requests.","mboxEdgeCluster","This cookie name is associated with Adobe Target which is used to communicate the correct edge cluster to at.js so that Target profiles can stay in sync as users navigate across a site.","_biz_pendingA","_rdt_em","This cookie name is associated with Reddit which is used to manage session state and user interactions.","megaNavCollapsed","_abck","The _abck cookie is associated with Akamai's Bot Manager, which is used to prevent fraud and abuse by safeguarding online interactions and detecting irregularities that could suggest malicious activity, such as bot-driven attacks or hacking attempts.","AMP_TEST","This cookie name AMP_TEST is used for internal analytics by the website operator, necessary for the functionality of the website's chat-box function, and to check whether the cookie storage is working properly.","idccsrf","This cookie name is associated with Salesforce which is used to track CrossSiteRequestForgery validation for certain single sign-on (SSO) flows.","_biz_flagsA","This cookie is used to remember users' settings as well as for authentication and analytics.","ApplicationGatewayAffinity","partners.nvidia.com","This cookie is used to maintain a user session by the server in a load balanced environment, to ensure the user has a consistent experience.","AMP_TEST_xxxxxxxx","bm_lso","This cookie name is associated with Akamai which is used to load the site as quickly as possible and to recognize bots.","SSESS###########","This cookie is likely to be a session cookie used to maintain an anonymized user session by the server in a secure environment, often seen in sites built with the Drupal content management system.","nvdeveloper.nvidia.com","__uxq412__id.88c1","QueueITAccepted-SDFrts345E-V3_{eventId}","TEST_AMCV_COOKIE_WRITE","This cookie is used to test whether cookies are enabled in the browser. It is a temporary cookie used to determine if the browser accepts cookies.","session","This cookie is typically used to maintain an anonymized user session by the server.","XSRF-TOKEN","This cookie is written to help with site security in preventing Cross-Site Request Forgery attacks.This cookie helps with site security in preventing Cross-Site Request Forgery attacks.","AWS ELB application load balancer","This cookie is associated with Akamai. It is used to analyse traffic to determine if it is automated traffic generated by bots or a human user.","bpazaws52gukakzc__ctrl0_ctl78_list_ctl09_systemcaptcha","PHPSESSID","PHP session cookie associated with embedded content from this domain.\n","base.manager.learn.nvidia.com","login_session","bm_ss","This cookie is used to help protect websites from automated bot traffic.","AWS ELB application load balancerUsed to attribute commission to affiliates when you arrive at the website from an affiliate referral link. It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","_devzone_session","This cookie is likely used to maintain a user session on the website by the server. It is common for session identifiers to be used to keep users logged in and track their interaction with the site during a session.","_cs_c","The cookie is used by Content Square to save the user consent to be tracked.","bm_sz","This cookie is used by Akamai to optimize site performance and security. It is typically associated with the delivery of web content and services.","vcalliance.nvidia.com","ASP.NET_SessionId","General purpose platform session cookie, used by sites written with Microsoft .NET based technologies. Usually used to maintain an anonymised user session by the server.","com.adobe.alloy.getTld","This cookie name is associated with the Adobe WebSDK which is used to determine the top-most domain that can accept cookies.","ApplicationGatewayAffinityCORS","This cookie is used to maintain a user session by the server in a load balanced environment, to ensure all requests from a user during the session are sent to the same server.","This cookie name AMP_TEST is used for internal analytics by the website operator, necessary for the functionality of the website's chat-box function, and to check whether the cookie storage is working properly.Supports Amplitude product analytics.","SESSls","This cookie is likely to be a session identifier, used to maintain a user's session state across page requests.","AMP_TLDTEST","c_code","BIGipServerx","This cookie name is associated with the BIG-IP product suite from company F5. 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