README.md

---
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:

```python
from datasets import load_dataset

dataset = load_dataset("prithivMLmods/Coder-Stat")
```

### Example
Here’s an example of how to access the data:

```python
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())
```