Row 7491

Row ID: 7491 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 7491 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Hello everyone,

I'm currently working on a school project involving the classification of website content, and I've been exploring SBERT for this task, especially with large datasets. However, I'm keen to discover if there are newer or more advanced models optimized for website content classification in 2024. Could anyone recommend the latest and most effective language models suitable for handling large-scale website datasets?

FieldValue
text Hello everyone, I'm currently working on a school project involving the classification of website content, and I've been exploring SBERT for this task, especially with large datasets. However, I'm keen to discover if there are newer or more advanced models optimized for website content classification in 2024. Could anyone recommend the latest and most effective language models suitable for handling large-scale website datasets?
label r/deeplearning
dataType post
communityName r/deeplearning
datetime 2024-05-16
username_encoded Z0FBQUFBQm5LakwzOTcxVm5CMVY0bXdMb3dHb2FvUklPNElrNnZfV1V2TTB5Z0Riam0xcmpFOWtBck5XX1ZtcVFhU3R4ZDRVNUlKTm9SajIwdzFxWUVOTE5wS0g4RThRZkE9PQ==
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Raw Record

{
  "text": "Hello everyone,\n\nI'm currently working on a school project involving the classification of website content, and I've been exploring SBERT for this task, especially with large datasets. However, I'm keen to discover if there are newer or more advanced models optimized for website content classification in 2024. Could anyone recommend the latest and most effective language models suitable for handling large-scale website datasets?",
  "label": "r/deeplearning",
  "dataType": "post",
  "communityName": "r/deeplearning",
  "datetime": "2024-05-16",
  "username_encoded": "Z0FBQUFBQm5LakwzOTcxVm5CMVY0bXdMb3dHb2FvUklPNElrNnZfV1V2TTB5Z0Riam0xcmpFOWtBck5XX1ZtcVFhU3R4ZDRVNUlKTm9SajIwdzFxWUVOTE5wS0g4RThRZkE9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9IZFd5QWlkSU1KVGJndFhpbEVzUm9RdDc0SkY0a042ZG1jRldaZl9jVF9HNEVfQWp5U2IzeGl5bWRudGVMdnAtbWplV3k3aUF1NG04TFB1eEI4ZWZvcXYtLWV6cGN5Y3pvNlFndjlTTktaNWNFVVZBLXV6RzUxYlRndi0tN3VIU0t0MHBsclVCbmRRd192U3FyMXBFZDdiQUh5YlVGeHRFdFZZWGZkTXBSanhRZjJMMXVlMGNOMXpoa2pESG9QMVlrVFUzdGo0Rl9WakVIVHRpa3VTdG9CQT09"
}
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