Row 31202
Content Data
This page contains data entry 31202 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Are you sure it doesn’t exist because you couldn’t find it? I’m currently learning to fine-tune a bert encoder for my startup, and I can assure you that semantic meaning can be converted into numeric data for analysis without any magic. Having a strong math and coding background helps. The ‘magic’ is just how the semantic meaning of words is captured by looking at patterns in data.
By defining each term solely through its relationship to other terms, you can capture nuanced meaning in a numeric format. This enables a variety of linear algebra tricks repurposed to analyze the relationships between this semantic meaning. Still learning myself but its entirely logical
| Field | Value |
|---|---|
| text | Are you sure it doesn’t exist because you couldn’t find it? I’m currently learning to fine-tune a bert encoder for my startup, and I can assure you that semantic meaning can be converted into numeric data for analysis without any magic. Having a strong math and coding background helps. The ‘magic’ is just how the semantic meaning of words is captured by looking at patterns in data. By defining each term solely through its relationship to other terms, you can capture nuanced meaning in a numeri… |
| label | r/chatgpt |
| dataType | comment |
| communityName | r/ChatGPT |
| datetime | 2024-05-21 |
| username_encoded | Z0FBQUFBQm5Lak1HenhIN0pCOU5zNE0tZE9GbEFNaTJWRExENUpkMHp3Y3l5TkdJYmxTOXBoLVU0b3JTd2l3REY1bVVjdnJRQVlielRzNTNOWkdOVUhmTHlQclRVT01melE9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9WQUxGeWNvZURWU3JLZkZabnJnX0pkd1Q4aHhVbE9kZkV5MVh1aWd4MS01R0xlYlRYbjNWSDhrRDl4cmRDZlUzRFp5N0diNFFGUG1nT0RwMlpaeGI4NEhxVmo5VGJ0ZDdlZ2hzX2hLN1MtcGJVdkFJU3RJQVU4QVJPel9iQUpJWHd3cUo1UEdzLW1nYXhTdHM4SGZrS3ZUOC1fNkJmOUdDTU8wZTBqVFZKMVE5UGk2bnkxQjFsSlJJMWZqM2dIQ3ZfaHI4Ym5qejdiTTJuOUc1d25JMEFqdz09 |
Raw Record
{
"text": "Are you sure it doesn’t exist because you couldn’t find it? I’m currently learning to fine-tune a bert encoder for my startup, and I can assure you that semantic meaning can be converted into numeric data for analysis without any magic. Having a strong math and coding background helps. The ‘magic’ is just how the semantic meaning of words is captured by looking at patterns in data. \n\nBy defining each term solely through its relationship to other terms, you can capture nuanced meaning in a numeric format. This enables a variety of linear algebra tricks repurposed to analyze the relationships between this semantic meaning. Still learning myself but its entirely logical",
"label": "r/chatgpt",
"dataType": "comment",
"communityName": "r/ChatGPT",
"datetime": "2024-05-21",
"username_encoded": "Z0FBQUFBQm5Lak1HenhIN0pCOU5zNE0tZE9GbEFNaTJWRExENUpkMHp3Y3l5TkdJYmxTOXBoLVU0b3JTd2l3REY1bVVjdnJRQVlielRzNTNOWkdOVUhmTHlQclRVT01melE9PQ==",
"url_encoded": "Z0FBQUFBQm5Lak9WQUxGeWNvZURWU3JLZkZabnJnX0pkd1Q4aHhVbE9kZkV5MVh1aWd4MS01R0xlYlRYbjNWSDhrRDl4cmRDZlUzRFp5N0diNFFGUG1nT0RwMlpaeGI4NEhxVmo5VGJ0ZDdlZ2hzX2hLN1MtcGJVdkFJU3RJQVU4QVJPel9iQUpJWHd3cUo1UEdzLW1nYXhTdHM4SGZrS3ZUOC1fNkJmOUdDTU8wZTBqVFZKMVE5UGk2bnkxQjFsSlJJMWZqM2dIQ3ZfaHI4Ym5qejdiTTJuOUc1d25JMEFqdz09"
}
Entry Information
- Entry ID: 31202
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000