James Clarke
commited on
Added training/testing sample count
Browse files
README.md
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@@ -31,6 +31,41 @@ The `CodeClassifier-v1-Tiny` model employs a neural network architecture optimiz
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The model's bidirectional nature and architectural components make it adept at understanding the syntax and structure crucial for code classification.
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# Example Code
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```python
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The model's bidirectional nature and architectural components make it adept at understanding the syntax and structure crucial for code classification.
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# Testing/Training Datasets
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I have put here the samples entered into the training/testing pipeline, its a very small amount.
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| Language | Testing Count | Training Count |
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|--------------|---------------|----------------|
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| Ada | 20 | 80 |
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| Assembly | 20 | 80 |
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| C | 20 | 80 |
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| C# | 20 | 80 |
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| C++ | 20 | 80 |
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| COBOL | 14 | 55 |
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| Common Lisp | 20 | 80 |
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| Dart | 20 | 80 |
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| Erlang | 20 | 80 |
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| F# | 20 | 80 |
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| Go | 20 | 80 |
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| Haskell | 20 | 80 |
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| Java | 20 | 80 |
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| JavaScript | 20 | 80 |
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| Julia | 20 | 80 |
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| Kotlin | 20 | 80 |
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| Lua | 20 | 80 |
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| MATLAB | 20 | 80 |
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| PHP | 20 | 80 |
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| Perl | 20 | 80 |
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| Prolog | 1 | 4 |
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| Python | 20 | 80 |
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| R | 20 | 80 |
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| Ruby | 20 | 80 |
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| Rust | 20 | 80 |
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| SQL | 20 | 80 |
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| Scala | 20 | 80 |
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| Swift | 20 | 80 |
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| TypeScript | 20 | 80 |
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# Example Code
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```python
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