franlucc/py_delete_annotation_may3_seed-0-1_starcoderbase-1b_typechecked
收藏Hugging Face2024-05-08 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/franlucc/py_delete_annotation_may3_seed-0-1_starcoderbase-1b_typechecked
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资源简介:
---
dataset_info:
features:
- name: mutated_program
dtype: string
- name: mutations
sequence: string
- name: key
dtype: string
- name: prefix
dtype: string
- name: suffix
dtype: string
- name: middle
dtype: string
- name: correct
dtype: bool
- name: model
dtype: string
- name: fim_type
dtype: string
- name: fim_program
dtype: string
- name: hexsha
dtype: string
- name: mutated_generated_text
dtype: string
splits:
- name: train
num_bytes: 9390393
num_examples: 1042
download_size: 3378145
dataset_size: 9390393
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "py_delete_annotation_may3_seed-0-1_starcoderbase-1b_typechecked"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
This dataset is primarily used for analyzing and processing mutated programs and their related information. The dataset features include mutated program, mutations, key, prefix, suffix, middle content, correctness flag, model type, FIM type, FIM program, hexsha, and mutated generated text. The dataset is divided into a training set, containing 1042 samples, with a total size of 9390393 bytes. The download size of the dataset is 3378145 bytes. The dataset configuration is set to default, with training data files located at data/train-* path.
提供机构:
franlucc原始信息汇总
数据集概述
数据集特征
- mutated_program: 数据类型 - string
- mutations: 数据类型 - string
- key: 数据类型 - string
- prefix: 数据类型 - string
- suffix: 数据类型 - string
- middle: 数据类型 - string
- correct: 数据类型 - bool
- model: 数据类型 - string
- fim_type: 数据类型 - string
- fim_program: 数据类型 - string
- hexsha: 数据类型 - string
- mutated_generated_text: 数据类型 - string
数据集分割
- train:
- 字节数: 9390393
- 示例数: 1042
数据集大小
- 下载大小: 3378145
- 数据集大小: 9390393
配置
- config_name: default
- data_files:
- split: train
- path: data/train-*



