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---
license: cc-by-sa-4.0
dataset_info:
features:
- name: path
dtype: string
- name: max_stars_owner
dtype: string
- name: min_issues_main_language
dtype: string
- name: max_forks_main_language
dtype: string
- name: max_forks_commit_sha
dtype: string
- name: min_issues_repo_id
dtype: float64
- name: non_alpha_syms
dtype: int64
- name: min_stars_owner
dtype: string
- name: num_of_duplicates
dtype: int64
- name: max_stars_languages_distribution
dtype: string
- name: std_line_len
dtype: float64
- name: pii_info
list:
- name: end
dtype: int64
- name: entity_group
dtype: string
- name: score
dtype: float64
- name: start
dtype: int64
- name: word
dtype: string
- name: cluster_id
dtype: int64
- name: non_empty_len
dtype: int64
- name: min_stars_languages_distribution
dtype: string
- name: min_forks_name
dtype: string
- name: min_forks_repo_id
dtype: int64
- name: min_issues_owner
dtype: string
- name: max_issues_name
dtype: string
- name: owner
dtype: string
- name: extension
dtype: string
- name: min_issues_name
dtype: string
- name: min_forks
dtype: int64
- name: max_issues_main_language
dtype: string
- name: repo_id
dtype: int64
- name: license
dtype: string
- name: max_stars_path
dtype: string
- name: max_stars_commit_sha
dtype: string
- name: avg_line_len
dtype: float64
- name: max_stars_main_language
dtype: string
- name: min_stars
dtype: int64
- name: partition_0
dtype: string
- name: min_stars_repo_id
dtype: int64
- name: max_len
dtype: int64
- name: is_fork
dtype: bool
- name: max_stars_name
dtype: string
- name: max_forks
dtype: int64
- name: max_issues_languages_distribution
dtype: string
- name: min_stars_commit_sha
dtype: string
- name: total_lines
dtype: int64
- name: min_forks_commit_sha
dtype: string
- name: max_forks_name
dtype: string
- name: total_symbols
dtype: int64
- name: languages_distribution
dtype: string
- name: max_forks_repo_id
dtype: int64
- name: content
dtype: string
- name: issues
dtype: float64
- name: max_issues_commit_sha
dtype: string
- name: max_forks_path
dtype: string
- name: main_language
dtype: string
- name: forks
dtype: int64
- name: min_issues_commit_sha
dtype: string
- name: min_forks_path
dtype: string
- name: max_issues_owner
dtype: string
- name: max_issues_repo_id
dtype: float64
- name: stars
dtype: int64
- name: old_content
dtype: string
- name: min_stars_main_language
dtype: string
- name: min_stars_name
dtype: string
- name: max_stars
dtype: int64
- name: commit_sha
dtype: string
- name: min_issues
dtype: float64
- name: min_issues_languages_distribution
dtype: string
- name: size
dtype: int64
- name: comment_lines
dtype: int64
- name: max_issues_path
dtype: string
- name: max_stars_repo_id
dtype: int64
- name: min_forks_owner
dtype: string
- name: max_forks_owner
dtype: string
- name: min_issues_path
dtype: string
- name: min_len
dtype: 'null'
- name: max_forks_languages_distribution
dtype: string
- name: max_issues
dtype: float64
- name: min_forks_main_language
dtype: string
- name: median_len
dtype: float64
- name: min_stars_path
dtype: string
- name: min_forks_languages_distribution
dtype: string
- name: name
dtype: string
splits:
- name: train
num_bytes: 174601557.889927
num_examples: 25000
download_size: 69469316
dataset_size: 174601557.889927
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Summary
The dataset contains 25000 Kotlin code samples selected from [KStack](https://huggingface.co/datasets/JetBrains/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](https://huggingface.co/codellama/CodeLlama-7b-hf) tokens (vocab size 32016).
# Dataset Collection Procedure
The filtering is performed using zero-shot quality estimation based on [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/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](https://huggingface.co/Salesforce/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 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 [email protected]
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