Delete codebleu.py

codebleu.py

@@ -1,104 +0,0 @@
-# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""TODO: Add a description here."""
-
-import evaluate
-import datasets
-from .calc_code_bleu import calculate
-import os
-
-
-# TODO: Add BibTeX citation
-_CITATION = """\
-@InProceedings{huggingface:module,
-title = {A great new module},
-authors={huggingface, Inc.},
-year={2020}
-}
-"""
-
-# TODO: Add description of the module here
-_DESCRIPTION = """\
-This new module is designed to solve this great ML task and is crafted with a lot of care.
-"""
-
-
-# TODO: Add description of the arguments of the module here
-_KWARGS_DESCRIPTION = """
-Calculates how good are predictions given some references, using certain scores
-Args:
-    predictions: list of predictions to score. Each predictions
-        should be a string with tokens separated by spaces.
-    references: list of reference for each prediction. Each
-        reference should be a string with tokens separated by spaces.
-Returns:
-    accuracy: description of the first score,
-    another_score: description of the second score,
-Examples:
-    Examples should be written in doctest format, and should illustrate how
-    to use the function.
-
-    >>> my_new_module = evaluate.load("my_new_module")
-    >>> results = my_new_module.compute(references=[0, 1], predictions=[0, 1])
-    >>> print(results)
-    {'accuracy': 1.0}
-"""
-
-# TODO: Define external resources urls if needed
-BAD_WORDS_URL = "http://url/to/external/resource/bad_words.txt"
-
-
-@evaluate.utils.file_utils.add_start_docstrings(_DESCRIPTION, _KWARGS_DESCRIPTION)
-class CodeBLEU(evaluate.Metric):
-    """TODO: Short description of my evaluation module."""
-
-    def _info(self):
-        # TODO: Specifies the evaluate.EvaluationModuleInfo object
-        return evaluate.MetricInfo(
-            # This is the description that will appear on the modules page.
-            module_type="metric",
-            description=_DESCRIPTION,
-            citation=_CITATION,
-            inputs_description=_KWARGS_DESCRIPTION,
-            # This defines the format of each prediction and reference
-            features=datasets.Features({
-                'predictions': datasets.Value('string'),
-                'references': datasets.Sequence(datasets.Value("string")),
-            }),
-            # Homepage of the module for documentation
-            homepage="http://module.homepage",
-            # Additional links to the codebase or references
-            codebase_urls=["http://github.com/path/to/codebase/of/new_module"],
-            reference_urls=["http://path.to.reference.url/new_module"]
-        )
-    '''
-    def _download_and_prepare(self, dl_manager):
-        dl_manager.download("https://huggingface.co/spaces/giulio98/codebleu/blob/main/bleu.py")
-        dl_manager.download("https://giulio98:[email protected]/spaces/giulio98/codebleu/blob/main/dataflow_match.py")
-        dl_manager.download("https://giulio98:[email protected]/spaces/giulio98/codebleu/blob/main/syntax_match.py")
-        dl_manager.download("https://giulio98:[email protected]/spaces/giulio98/codebleu/blob/main/utils.py")
-        dl_manager.download("https://giulio98:[email protected]/spaces/giulio98/codebleu/blob/main/weighted_ngram_match.py")
-        dl_manager.download("https://giulio98:[email protected]/spaces/giulio98/codebleu/blob/main/keywords/cpp.txt")
-        dl_manager.download("https://giulio98:[email protected]/spaces/giulio98/codebleu/blob/main/keywords/python.txt")
-        dl_manager.download("https://giulio98:[email protected]/spaces/giulio98/codebleu/blob/main/parsercode/DFG.py")
-        dl_manager.download("https://giulio98:[email protected]/spaces/giulio98/codebleu/blob/main/parsercode/__init__.py")
-        dl_manager.download("https://giulio98:[email protected]/spaces/giulio98/codebleu/blob/main/parsercode/build.py")
-        dl_manager.download("https://giulio98:[email protected]/spaces/giulio98/codebleu/blob/main/parsercode/build.sh")
-        dl_manager.download("https://giulio98:[email protected]/spaces/giulio98/codebleu/blob/main/parsercode/utils.py")
-    '''
-
-
-    def _compute(self, predictions, references, language="python", alpha=0.25, beta=0.25, gamma=0.25, theta=0.25):
-      
-      return calculate(predictions, references, language, alpha, beta, gamma, theta)