Convert dataset to Parquet (#4)

- Convert dataset to Parquet (f18c1083190b63c04aa75a523272a99a94784863)
- Delete loading script (946dd8dff11a705b83836687d2051d8429c23844)
- Delete loading script auxiliary file (c16948ddc82f70bbe3ca778dc91382d71b334cd7)
- Delete loading script auxiliary file (f9b0bc0e4d8417416690684915dcdfe3627729ab)

README.md

@@ -29,16 +29,25 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 4372657
+    num_bytes: 4372641
     num_examples: 10300
   - name: validation
-    num_bytes: 226415
+    num_bytes: 226407
     num_examples: 500
   - name: test
-    num_bytes: 418595
+    num_bytes: 418587
     num_examples: 1000
-  download_size: 4876035
-  dataset_size: 5017667
+  download_size: 2064764
+  dataset_size: 5017635
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: data/test-*
 ---
 # Dataset Card for "code_x_glue_cc_code_to_code_trans"
 

code_x_glue_cc_code_to_code_trans.py

@@ -1,101 +0,0 @@
-from typing import List
-
-import datasets
-
-from .common import TrainValidTestChild
-from .generated_definitions import DEFINITIONS
-
-
-_DESCRIPTION = """The dataset is collected from several public repos, including Lucene(http://lucene.apache.org/), POI(http://poi.apache.org/), JGit(https://github.com/eclipse/jgit/) and Antlr(https://github.com/antlr/).
-        We collect both the Java and C# versions of the codes and find the parallel functions. After removing duplicates and functions with the empty body, we split the whole dataset into training, validation and test sets."""
-_CITATION = """@article{DBLP:journals/corr/abs-2102-04664,
-  author    = {Shuai Lu and
-               Daya Guo and
-               Shuo Ren and
-               Junjie Huang and
-               Alexey Svyatkovskiy and
-               Ambrosio Blanco and
-               Colin B. Clement and
-               Dawn Drain and
-               Daxin Jiang and
-               Duyu Tang and
-               Ge Li and
-               Lidong Zhou and
-               Linjun Shou and
-               Long Zhou and
-               Michele Tufano and
-               Ming Gong and
-               Ming Zhou and
-               Nan Duan and
-               Neel Sundaresan and
-               Shao Kun Deng and
-               Shengyu Fu and
-               Shujie Liu},
-  title     = {CodeXGLUE: {A} Machine Learning Benchmark Dataset for Code Understanding
-               and Generation},
-  journal   = {CoRR},
-  volume    = {abs/2102.04664},
-  year      = {2021}
-}"""
-
-
-class CodeXGlueCcCodeToCodeTransImpl(TrainValidTestChild):
-    _DESCRIPTION = _DESCRIPTION
-    _CITATION = _CITATION
-
-    _FEATURES = {
-        "id": datasets.Value("int32"),  # Index of the sample
-        "java": datasets.Value("string"),  # The java version of the code
-        "cs": datasets.Value("string"),  # The C# version of the code
-    }
-
-    def generate_urls(self, split_name):
-        for key in "cs", "java":
-            yield key, f"{split_name}.java-cs.txt.{key}"
-
-    def _generate_examples(self, split_name, file_paths):
-        """This function returns the examples in the raw (text) form."""
-        # Open each file (one for java, and one for c#)
-        files = {k: open(file_paths[k], encoding="utf-8") for k in file_paths}
-
-        id_ = 0
-        while True:
-            # Read a single line from each file
-            entries = {k: files[k].readline() for k in file_paths}
-
-            empty = self.check_empty(entries)
-            if empty:
-                # We are done: end of files
-                return
-
-            entries["id"] = id_
-            yield id_, entries
-            id_ += 1
-
-
-CLASS_MAPPING = {
-    "CodeXGlueCcCodeToCodeTrans": CodeXGlueCcCodeToCodeTransImpl,
-}
-
-
-class CodeXGlueCcCodeToCodeTrans(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)

common.py

@@ -1,75 +0,0 @@
-from typing import List
-
-import datasets
-
-
-# Citation, taken from https://github.com/microsoft/CodeXGLUE
-_DEFAULT_CITATION = """@article{CodeXGLUE,
-         title={CodeXGLUE: A Benchmark Dataset and Open Challenge for Code Intelligence},
-         year={2020},}"""
-
-
-class Child:
-    _DESCRIPTION = None
-    _FEATURES = None
-    _CITATION = None
-    SPLITS = {"train": datasets.Split.TRAIN}
-    _SUPERVISED_KEYS = None
-
-    def __init__(self, info):
-        self.info = info
-
-    def homepage(self):
-        return self.info["project_url"]
-
-    def _info(self):
-        # This is the description that will appear on the datasets page.
-        return datasets.DatasetInfo(
-            description=self.info["description"] + "\n\n" + self._DESCRIPTION,
-            features=datasets.Features(self._FEATURES),
-            homepage=self.homepage(),
-            citation=self._CITATION or _DEFAULT_CITATION,
-            supervised_keys=self._SUPERVISED_KEYS,
-        )
-
-    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
-        SPLITS = self.SPLITS
-        _URL = self.info["raw_url"]
-        urls_to_download = {}
-        for split in SPLITS:
-            if split not in urls_to_download:
-                urls_to_download[split] = {}
-
-            for key, url in self.generate_urls(split):
-                if not url.startswith("http"):
-                    url = _URL + "/" + url
-                urls_to_download[split][key] = url
-
-        downloaded_files = {}
-        for k, v in urls_to_download.items():
-            downloaded_files[k] = dl_manager.download(v)
-
-        return [
-            datasets.SplitGenerator(
-                name=SPLITS[k],
-                gen_kwargs={"split_name": k, "file_paths": downloaded_files[k]},
-            )
-            for k in SPLITS
-        ]
-
-    def check_empty(self, entries):
-        all_empty = all([v == "" for v in entries.values()])
-        all_non_empty = all([v != "" for v in entries.values()])
-
-        if not all_non_empty and not all_empty:
-            raise RuntimeError("Parallel data files should have the same number of lines.")
-
-        return all_empty
-
-
-class TrainValidTestChild(Child):
-    SPLITS = {
-        "train": datasets.Split.TRAIN,
-        "valid": datasets.Split.VALIDATION,
-        "test": datasets.Split.TEST,
-    }

data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6f85e7a4685883fd9d95c0a1cb743e8ca2f17553b59a4f7b8967e515e7488b94
+size 169864

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:670d745b939f8f065e207558306d10200ad07e2de02e1b533070ad3b1957cb56
+size 1804099

data/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7074b5b5e913273e03153931f39fdfcfbacd9db9aa85d4dc0f7af4b77c50e311
+size 90801

generated_definitions.py

@@ -1,12 +0,0 @@
-DEFINITIONS = {
-    "default": {
-        "class_name": "CodeXGlueCcCodeToCodeTrans",
-        "dataset_type": "Code-Code",
-        "description": "CodeXGLUE code-to-code-trans dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/code-to-code-trans",
-        "dir_name": "code-to-code-trans",
-        "name": "default",
-        "project_url": "https://github.com/madlag/CodeXGLUE/tree/main/Code-Code/code-to-code-trans",
-        "raw_url": "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Code-Code/code-to-code-trans/data",
-        "sizes": {"test": 1000, "train": 10300, "validation": 500},
-    }
-}