task_categories:text-generation task_categories:text2text-generation task_categories:question-answering size_categories:10K<n<100K code region:us
---
dataset_info:
  features:
  - name: id
    dtype: string
  - name: description
    dtype: string
  - name: code
    dtype: string
  - name: language
    dtype:
      class_label:
        names:
          '0': UNKNOWN
          '1': Python2
          '2': C++
          '3': Python3
          '4': JAVA
  - name: test_samples
    sequence:
    - name: input
      dtype: string
    - name: output
      dtype: string
  - name: source
    dtype:
      class_label:
        names:
          '0': UNKNOWN_SOURCE
          '1': CODECHEF
          '2': CODEFORCES
          '3': HACKEREARTH
          '4': CODEJAM
          '5': ATCODER
          '6': AIZU
  splits:
  - name: train
    num_bytes: 3321514817
    num_examples: 38438
  - name: valid
    num_bytes: 122746000
    num_examples: 396
  - name: test
    num_bytes: 77106001
    num_examples: 514
  download_size: 1047406436
  dataset_size: 3521366818
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: valid
    path: data/valid-*
  - split: test
    path: data/test-*
task_categories:
- text-generation
- text2text-generation
- question-answering
tags:
- code
size_categories:
- 10K<n<100K
---
# Dataset Card for Code Contest Processed

## Dataset Summary
This dataset is created by processing [code_contest dataset from Deepmind](https://huggingface.co/datasets/deepmind/code_contests). It is a competitive programming dataset for machine-learning. Read more about dataset at [original source](https://huggingface.co/datasets/deepmind/code_contests).

## Columns Description
- `id` : unique string associated with a problem
- `description` : problem description
- `code` : one correct code for the problem
- `language` : programming language used for code
- `test_samples` : contains inputs and their corresponding outputs for the problem
- `source` : source of problem