Datasets:
metadata
license: apache-2.0
task_categories:
- text-classification
- text-generation
- text2text-generation
- text-retrieval
language:
- en
tags:
- Coder-Stat
- c++
- C
- Python
- Java
- Go
- Ruby
- R
- c#
size_categories:
- 10K<n<100K
Coder-Stat Dataset
Overview
The Coder-Stat dataset is a collection of programming-related data, including problem IDs, programming languages, original statuses, and source code snippets. This dataset is designed to assist in the analysis of coding patterns, error types, and performance metrics.
Dataset Details
Modalities
- Tabular: The dataset is structured in a tabular format.
- Text: Contains text data, including source code snippets.
Formats
- JSON: The dataset is available in JSON format.
Size
- The dataset contains between 10,000 to 100,000 entries.
Libraries
- Datasets: The dataset is compatible with the Hugging Face Datasets library.
- Pandas: Can be easily loaded and manipulated using Pandas.
- Croissant: Additional support for Croissant format.
Dataset Structure
Columns
- problem_id: A unique identifier for each problem.
- language: The programming language used.
- original_status: The original status of the code (e.g., Runtime Error, Time Limit Exceeded).
- original_sre: The original source code.
- changed_sre: The modified or corrected source code.
Splits
- train: Contains 41,900 rows of training data.
Usage
Loading the Dataset
You can load the dataset using the Hugging Face Datasets library:
from datasets import load_dataset
dataset = load_dataset("prithivMLmods/Coder-Stat")
Example
Here’s an example of how to access the data:
import pandas as pd
# Load the dataset
dataset = load_dataset("prithivMLmods/Coder-Stat")
# Convert to Pandas DataFrame
df = pd.DataFrame(dataset['train'])
# Display the first few rows
print(df.head())