README.md

metadata

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, 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.