README.md

---
dataset_info:
  features:
  - name: identifier
    dtype: string
  - name: parameters
    dtype: string
  - name: return_statement
    dtype: string
  - name: docstring
    dtype: string
  - name: docstring_summary
    dtype: string
  - name: function
    dtype: string
  - name: function_tokens
    sequence: string
  - name: start_point
    sequence: int64
  - name: end_point
    sequence: int64
  - name: argument_list
    dtype: 'null'
  - name: language
    dtype: string
  - name: docstring_language
    dtype: string
  - name: docstring_language_predictions
    dtype: string
  - name: is_langid_reliable
    dtype: string
  - name: is_langid_extra_reliable
    dtype: bool
  - name: __index_level_0__
    dtype: float64
  - name: type
    dtype: string
  splits:
  - name: test
    num_bytes: 15805599
    num_examples: 7743
  download_size: 5542842
  dataset_size: 15805599
license: other
task_categories:
- translation
- summarization
language:
- pt
- de
- fr
- es
tags:
- code
pretty_name: m
size_categories:
- 1K<n<10K
---
# Dataset Card for M2CRB

## How to get the data

```
from datasets import load_dataset

def get_dataset(prog_lang, nat_lang):
    test_data = load_dataset("blindsubmissions/M2CRB")

    test_data = test_data.filter(
        lambda example: example["docstring_language"] == nat_lang
        and example["language"] == prog_lang
    )

    test_data = test_data.map(
        datasets_loader.DATASET_NAME_TO_PREPROCESSING_FUNCTION[
            TEST_DATA_INFO[prog_lang]["path"]
        ],
    )
    test_data = datasets_loader.dataset(test_data)

    return test_data
```

## Licensing Information
M2CRB is a subset filtered and pre-processed from [The Stack](https://huggingface.co/datasets/bigcode/the-stack), a collection of source code from repositories with various licenses. Any use of all or part of the code gathered in M2CRB must abide by the terms of the original licenses.