Delete loading script

code_x_glue_cc_code_completion_line.py

@@ -1,80 +0,0 @@
-import json
-from typing import List
-
-import datasets
-
-from .common import Child
-from .generated_definitions import DEFINITIONS
-
-
-_DESCRIPTION = """Complete the unfinished line given previous context. Models are evaluated by exact match and edit similarity.
-We propose line completion task to test model's ability to autocomplete a line. Majority code completion systems behave well in token level completion, but fail in completing an unfinished line like a method call with specific parameters, a function signature, a loop condition, a variable definition and so on. When a software develop finish one or more tokens of the current line, the line level completion model is expected to generate the entire line of syntactically correct code.
-Line level code completion task shares the train/dev dataset with token level completion. After training a model on CodeCompletion-token, you could directly use it to test on line-level completion."""
-
-_CITATION = """@article{raychev2016probabilistic,
-title={Probabilistic Model for Code with Decision Trees},
-author={Raychev, Veselin and Bielik, Pavol and Vechev, Martin},
-journal={ACM SIGPLAN Notices},
-pages={731--747},
-year={2016},
-publisher={ACM New York, NY, USA}
-}
-@inproceedings{allamanis2013mining,
-title={Mining Source Code Repositories at Massive Scale using Language Modeling},
-author={Allamanis, Miltiadis and Sutton, Charles},
-booktitle={2013 10th Working Conference on Mining Software Repositories (MSR)},
-pages={207--216},
-year={2013},
-organization={IEEE}
-}"""
-
-
-class CodeXGlueCcCodeCompletionLineImpl(Child):
-    _DESCRIPTION = _DESCRIPTION
-    _CITATION = _CITATION
-
-    _FEATURES = {
-        "id": datasets.Value("int32"),  # Index of the sample
-        "input": datasets.Value("string"),  # Input code string
-        "gt": datasets.Value("string"),  # Code string to be predicted
-    }
-
-    _SUPERVISED_KEYS = ["gt"]
-
-    def generate_urls(self, split_name):
-        yield "data", "test.json"
-
-    def _generate_examples(self, split_name, file_paths):
-        with open(file_paths["data"], encoding="utf-8") as f:
-            for idx, line in enumerate(f):
-                entry = json.loads(line)
-                entry["id"] = idx
-                yield idx, entry
-
-
-CLASS_MAPPING = {
-    "CodeXGlueCcCodeCompletionLine": CodeXGlueCcCodeCompletionLineImpl,
-}
-
-
-class CodeXGlueCcCodeCompletionLine(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIG_CLASS = datasets.BuilderConfig
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name=name, description=info["description"]) for name, info in DEFINITIONS.items()
-    ]
-
-    def _info(self):
-        name = self.config.name
-        info = DEFINITIONS[name]
-        if info["class_name"] in CLASS_MAPPING:
-            self.child = CLASS_MAPPING[info["class_name"]](info)
-        else:
-            raise RuntimeError(f"Unknown python class for dataset configuration {name}")
-        ret = self.child._info()
-        return ret
-
-    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
-        return self.child._split_generators(dl_manager=dl_manager)
-
-    def _generate_examples(self, split_name, file_paths):
-        return self.child._generate_examples(split_name, file_paths)