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---
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 | |