license: other
dataset_info:
features:
- name: path
dtype: string
- name: owner
dtype: string
- name: repo_id
dtype: int64
- name: is_fork
dtype: bool
- name: languages_distribution
dtype: string
- name: content
dtype: string
- name: issues
dtype: float64
- name: main_language
dtype: string
- name: forks
dtype: int64
- name: stars
dtype: int64
- name: commit_sha
dtype: string
- name: size
dtype: int64
- name: name
dtype: string
splits:
- name: train
num_bytes: 71670786.15877116
num_examples: 25000
download_size: 29409079
dataset_size: 71670786.15877116
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
Dataset Summary
The dataset contains 25,000 Kotlin code samples selected from the KStack dataset. The selection is performed based on the value of the code for learning algorithmic concepts in Kotlin. In total, the dataset contains about 23M CodeLlama-7b tokens (vocab size 32,016).
Dataset Collection
The filtering from KStack is performed using zero-shot quality estimation based on Mistral-7B-Instruct-v0.2. The model is prompted to determine which of two files has higher "educational value for learning algorithms in Kotlin". The results of the comparisons are averaged and used to train a binary classifier based on CodeT5p-220m. The binary classifier is then applied to the entire KStack to obtain scores for each sample in the dataset. The log-probability of the classifier prediction is used as a criterion of the selection.
Opt-out
If you want your data to be removed from dataset, or have any other questions, please reach out to Sergey Titov: sergey.titov@jetbrains.com