| --- |
| 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 |
| - name: license |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 75063445 |
| num_examples: 25000 |
| download_size: 29298620 |
| dataset_size: 75063445 |
| 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](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 32,016). |
|
|
| ## Column description |
| The dataset contains the following columns: |
|
|
| - `size` — size of the file in bytes |
| - `content` — text (content) of the file after removing personal identifiable information |
| - `repo_id` — GitHub ID of the repository |
| - `path` — path to a file |
| - `owner` — repo owner on GitHub |
| - `name` — repo name on GitHub |
| - `commit_sha` — hash of the commit, from which the revision of the file is taken |
| - `stars` — number of stars in the repo at the moment of collection |
| - `forks` — number of forks in the repo at the moment of collection |
| - `issues` — number of issues in the repo at the moment of collection |
| - `is_fork` — `true` if the repo is a fork or not as defined by GitHub |
| - `main_language` — main language of the repo as defined by GitHub |
| - `languages_distribution` — JSON with the distribution of languages by size in bytes in the repo |
| - `license` — permissive license of the repository |
|
|
|
|
| # Dataset Collection |
| The filtering from [KStack](https://huggingface.co/datasets/JetBrains/KStack) 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 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> |
