| --- |
| license: apache-2.0 |
| tags: |
| - Token Classification |
| widget: |
| - text: >- |
| The following is a bubble sort implementation taken from TeamTest57/Whack-A-Mole on github. |
| int iro = 0; |
| int score = 0; |
| void bubble_sort() { |
| int i, j; |
| for (i = 0; i < mole_num - 1; i++) |
| for (j = mole_num - 1; j >= i + 1; j--) |
| if (hole_y[j] < hole_y[j - 1]) { |
| int temp; |
| temp = hole_y[j]; |
| hole_y[j] = hole_y[j - 1]; |
| hole_y[j - 1] = temp; |
| temp = hole_x[j]; |
| hole_x[j] = hole_x[j - 1]; |
| hole_x[j - 1] = temp; |
| } |
| } |
| example_title: example 1 |
| - text: >- |
| # Sample animal inherits from custom metaclass |
| class Panda(metaclass=CustomMeta): |
| """I bet you see this docstring printed as well""" |
| fav_food = "Bamboo" |
| loves_code = True |
| |
| def activity(self): |
| print("Zzz...") |
| This programming code was taken from cyberpanda/PythonStuff on GitHub and is cc0-licensed. It defines a class with member variables and methods. |
| example_title: example 2 |
| --- |
| |
| This is a distilbert-base-multilingual-cased-Model fine-tuned with a NER objective to tag tokens based on whether they belong to a code block or natural language text. |
| The dataset of 78210 examples was generated by randomly combining code and text blocks from other permissively-licensed datasets, with some examples containing only code and some only regular text. |
|
|
| The model achieves the following stats on the validation set: |
|
|
| | Metric | Value | |
| |--------------|-----------| |
| | Loss | 0.0788 | |
| | F1 Score | 0.8619 | |
| | Precision | 0.8362 | |
| | Recall | 0.8893 | |
| | Accuracy | 0.9792 | |
