# Dataset Card for Code Contest Processed

## Dataset Summary
This dataset contains coding contest questions and their solution written in Python3.
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
- `test_samples` : contains inputs and their corresponding outputs for the problem
- `source` : source of problem
- `prompt` : alpaca style generated prompt for text generation
task_categories:question-answering task_categories:text2text-generation task_categories:text-generation size_categories:1K<n<10K code region:us
{"size_categories": ["1K<n<10K"], "task_categories": ["question-answering", "text2text-generation", "text-generation"], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "code", "dtype": "string"}, {"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"}}}}, {"name": "prompt", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 624564538, "num_examples": 8139}, {"name": "valid", "num_bytes": 32348022, "num_examples": 95}, {"name": "test", "num_bytes": 20764786, "num_examples": 122}], "download_size": 192319894, "dataset_size": 677677346}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "valid", "path": "data/valid-*"}, {"split": "test", "path": "data/test-*"}]}], "tags": ["code"]}
TAGS
#task_categories-question-answering #task_categories-text2text-generation #task_categories-text-generation #size_categories-1K<n<10K #code #region-us 

# Dataset Card for Code Contest Processed

## Dataset Summary
This dataset contains coding contest questions and their solution written in Python3.
This dataset is created by processing code_contest dataset from Deepmind. It is a competitive programming dataset for machine-learning. Read more about dataset at original source.

## Columns Description
- 'id' : unique string associated with a problem
- 'description' : problem description
- 'code' : one correct code for the problem
- 'test_samples' : contains inputs and their corresponding outputs for the problem
- 'source' : source of problem
- 'prompt' : alpaca style generated prompt for text generation
# Dataset Card for Code Contest Processed ## Dataset Summary
This dataset contains coding contest questions and their solution written in Python3.
This dataset is created by processing code_contest dataset from Deepmind. It is a competitive programming dataset for machine-learning. Read more about dataset at original source. ## Columns Description
- 'id' : unique string associated with a problem
- 'description' : problem description
- 'code' : one correct code for the problem
- 'test_samples' : contains inputs and their corresponding outputs for the problem
- 'source' : source of problem
- 'prompt' : alpaca style generated prompt for text generation
TAGS
#task_categories-question-answering #task_categories-text2text-generation #task_categories-text-generation #size_categories-1K<n<10K #code #region-us 
 # Dataset Card for Code Contest Processed ## Dataset Summary
This dataset contains coding contest questions and their solution written in Python3.
This dataset is created by processing code_contest dataset from Deepmind. It is a competitive programming dataset for machine-learning. Read more about dataset at original source. ## Columns Description
- 'id' : unique string associated with a problem
- 'description' : problem description
- 'code' : one correct code for the problem
- 'test_samples' : contains inputs and their corresponding outputs for the problem
- 'source' : source of problem
- 'prompt' : alpaca style generated prompt for text generation