Convert dataset to Parquet (#2)

- Convert dataset to Parquet (e982b9682c4f84119f8ba220762c9d4909393b93)
- Add java data files (1e6aefe959af940ea675618e450d8825f2bbab0c)
- Add javascript data files (cb1e762ab2ae2dd00d228239c41c16f3bfd79ab0)
- Add php data files (fb2aefe974412675027b8d4c534428f4e16d2dd8)
- Add python data files (2beda6cc04e5980bf00bfe23da0a65905c0fd57f)
- Add ruby data files (3e39f7b17767132addd75a89b6f4007755b34175)
- Delete loading script (d83003bda752b63bb119b4fb0771aec63e90a147)
- Delete loading script auxiliary file (348604f11de74ba21a2dac80f21e0d6097bc78fa)
- Delete loading script auxiliary file (ae0ebeaac670237e8dd0ad00c50e745afab42a87)

README.md

@@ -20,6 +20,13 @@ task_categories:
 task_ids:
 - slot-filling
 pretty_name: CodeXGlueCcClozeTestingMaxmin
+config_names:
+- go
+- java
+- javascript
+- php
+- python
+- ruby
 dataset_info:
 - config_name: go
   features:
@@ -33,10 +40,10 @@ dataset_info:
     sequence: string
   splits:
   - name: train
-    num_bytes: 204997
+    num_bytes: 204977
     num_examples: 152
-  download_size: 298893
-  dataset_size: 204997
+  download_size: 68965
+  dataset_size: 204977
 - config_name: java
   features:
   - name: id
@@ -49,10 +56,10 @@ dataset_info:
     sequence: string
   splits:
   - name: train
-    num_bytes: 785754
+    num_bytes: 785734
     num_examples: 482
-  download_size: 1097733
-  dataset_size: 785754
+  download_size: 250672
+  dataset_size: 785734
 - config_name: javascript
   features:
   - name: id
@@ -65,10 +72,10 @@ dataset_info:
     sequence: string
   splits:
   - name: train
-    num_bytes: 594347
+    num_bytes: 594327
     num_examples: 272
-  download_size: 836112
-  dataset_size: 594347
+  download_size: 188271
+  dataset_size: 594327
 - config_name: php
   features:
   - name: id
@@ -81,10 +88,10 @@ dataset_info:
     sequence: string
   splits:
   - name: train
-    num_bytes: 705477
+    num_bytes: 705457
     num_examples: 407
-  download_size: 1010305
-  dataset_size: 705477
+  download_size: 211107
+  dataset_size: 705457
 - config_name: python
   features:
   - name: id
@@ -97,10 +104,10 @@ dataset_info:
     sequence: string
   splits:
   - name: train
-    num_bytes: 2566353
+    num_bytes: 2566333
     num_examples: 1264
-  download_size: 3577929
-  dataset_size: 2566353
+  download_size: 885488
+  dataset_size: 2566333
 - config_name: ruby
   features:
   - name: id
@@ -113,17 +120,35 @@ dataset_info:
     sequence: string
   splits:
   - name: train
-    num_bytes: 48946
+    num_bytes: 48926
     num_examples: 38
-  download_size: 67675
-  dataset_size: 48946
-config_names:
-- go
-- java
-- javascript
-- php
-- python
-- ruby
+  download_size: 22528
+  dataset_size: 48926
+configs:
+- config_name: go
+  data_files:
+  - split: train
+    path: go/train-*
+- config_name: java
+  data_files:
+  - split: train
+    path: java/train-*
+- config_name: javascript
+  data_files:
+  - split: train
+    path: javascript/train-*
+- config_name: php
+  data_files:
+  - split: train
+    path: php/train-*
+- config_name: python
+  data_files:
+  - split: train
+    path: python/train-*
+- config_name: ruby
+  data_files:
+  - split: train
+    path: ruby/train-*
 ---
 # Dataset Card for "code_x_glue_cc_cloze_testing_maxmin"
 

code_x_glue_cc_cloze_testing_maxmin.py

@@ -1,83 +0,0 @@
-import json
-from typing import List
-
-import datasets
-
-from .common import Child
-from .generated_definitions import DEFINITIONS
-
-
-_DESCRIPTION = """Cloze tests are widely adopted in Natural Languages Processing to evaluate the performance of the trained language models. The task is aimed to predict the answers for the blank with the context of the blank, which can be formulated as a multi-choice classification problem.
-Here we present the two cloze testing datasets in code domain with six different programming languages: ClozeTest-maxmin and ClozeTest-all. Each instance in the dataset contains a masked code function, its docstring and the target word.
-The only difference between ClozeTest-maxmin and ClozeTest-all is their selected words sets, where ClozeTest-maxmin only contains two words while ClozeTest-all contains 930 words."""
-
-_CITATION = """@article{CodeXGLUE,
-title={CodeXGLUE: An Open Challenge for Code Intelligence},
-journal={arXiv},
-year={2020},
-}
-@article{feng2020codebert,
-title={CodeBERT: A Pre-Trained Model for Programming and Natural Languages},
-author={Feng, Zhangyin and Guo, Daya and Tang, Duyu and Duan, Nan and Feng, Xiaocheng and Gong, Ming and Shou, Linjun and Qin, Bing and Liu, Ting and Jiang, Daxin and others},
-journal={arXiv preprint arXiv:2002.08155},
-year={2020}
-}
-@article{husain2019codesearchnet,
-title={CodeSearchNet Challenge: Evaluating the State of Semantic Code Search},
-author={Husain, Hamel and Wu, Ho-Hsiang and Gazit, Tiferet and Allamanis, Miltiadis and Brockschmidt, Marc},
-journal={arXiv preprint arXiv:1909.09436},
-year={2019}
-}"""
-
-
-class CodeXGlueCcClozeTestingImpl(Child):
-    _DESCRIPTION = _DESCRIPTION
-    _CITATION = _CITATION
-
-    _FEATURES = {
-        "id": datasets.Value("int32"),  # Index of the sample
-        "idx": datasets.Value("string"),  # Original index in the dataset
-        "nl_tokens": datasets.features.Sequence(datasets.Value("string")),  # Natural language tokens
-        "pl_tokens": datasets.features.Sequence(datasets.Value("string")),  # Programming language tokens
-    }
-
-    def generate_urls(self, split_name):
-        yield "data", "clozeTest.json"
-
-    def _generate_examples(self, split_name, file_paths):
-        with open(file_paths["data"], encoding="utf-8") as f:
-            j = json.load(f)
-            index = 0
-            for entry in j:
-                yield index, dict(
-                    id=index, idx=entry["idx"], nl_tokens=entry["nl_tokens"], pl_tokens=entry["pl_tokens"]
-                )
-                index += 1
-
-
-CLASS_MAPPING = {
-    "CodeXGlueCcClozeTestingMaxmin": CodeXGlueCcClozeTestingImpl,
-}
-
-
-class CodeXGlueCcClozeTestingMaxmin(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_and_extract(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,
-    }

generated_definitions.py

@@ -1,68 +0,0 @@
-DEFINITIONS = {
-    "go": {
-        "class_name": "CodeXGlueCcClozeTestingMaxmin",
-        "dataset_type": "Code-Code",
-        "description": "CodeXGLUE ClozeTesting-maxmin dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/ClozeTesting-maxmin",
-        "dir_name": "ClozeTesting-maxmin",
-        "name": "go",
-        "parameters": {"language": "go"},
-        "project_url": "https://github.com/madlag/CodeXGLUE/tree/main/Code-Code/ClozeTesting-maxmin",
-        "raw_url": "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Code-Code/ClozeTesting-maxmin/data/cloze-maxmin/go",
-        "sizes": {"train": 152},
-    },
-    "java": {
-        "class_name": "CodeXGlueCcClozeTestingMaxmin",
-        "dataset_type": "Code-Code",
-        "description": "CodeXGLUE ClozeTesting-maxmin dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/ClozeTesting-maxmin",
-        "dir_name": "ClozeTesting-maxmin",
-        "name": "java",
-        "parameters": {"language": "java"},
-        "project_url": "https://github.com/madlag/CodeXGLUE/tree/main/Code-Code/ClozeTesting-maxmin",
-        "raw_url": "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Code-Code/ClozeTesting-maxmin/data/cloze-maxmin/java",
-        "sizes": {"train": 482},
-    },
-    "javascript": {
-        "class_name": "CodeXGlueCcClozeTestingMaxmin",
-        "dataset_type": "Code-Code",
-        "description": "CodeXGLUE ClozeTesting-maxmin dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/ClozeTesting-maxmin",
-        "dir_name": "ClozeTesting-maxmin",
-        "name": "javascript",
-        "parameters": {"language": "javascript"},
-        "project_url": "https://github.com/madlag/CodeXGLUE/tree/main/Code-Code/ClozeTesting-maxmin",
-        "raw_url": "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Code-Code/ClozeTesting-maxmin/data/cloze-maxmin/javascript",
-        "sizes": {"train": 272},
-    },
-    "php": {
-        "class_name": "CodeXGlueCcClozeTestingMaxmin",
-        "dataset_type": "Code-Code",
-        "description": "CodeXGLUE ClozeTesting-maxmin dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/ClozeTesting-maxmin",
-        "dir_name": "ClozeTesting-maxmin",
-        "name": "php",
-        "parameters": {"language": "php"},
-        "project_url": "https://github.com/madlag/CodeXGLUE/tree/main/Code-Code/ClozeTesting-maxmin",
-        "raw_url": "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Code-Code/ClozeTesting-maxmin/data/cloze-maxmin/php",
-        "sizes": {"train": 407},
-    },
-    "python": {
-        "class_name": "CodeXGlueCcClozeTestingMaxmin",
-        "dataset_type": "Code-Code",
-        "description": "CodeXGLUE ClozeTesting-maxmin dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/ClozeTesting-maxmin",
-        "dir_name": "ClozeTesting-maxmin",
-        "name": "python",
-        "parameters": {"language": "python"},
-        "project_url": "https://github.com/madlag/CodeXGLUE/tree/main/Code-Code/ClozeTesting-maxmin",
-        "raw_url": "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Code-Code/ClozeTesting-maxmin/data/cloze-maxmin/python",
-        "sizes": {"train": 1264},
-    },
-    "ruby": {
-        "class_name": "CodeXGlueCcClozeTestingMaxmin",
-        "dataset_type": "Code-Code",
-        "description": "CodeXGLUE ClozeTesting-maxmin dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/ClozeTesting-maxmin",
-        "dir_name": "ClozeTesting-maxmin",
-        "name": "ruby",
-        "parameters": {"language": "ruby"},
-        "project_url": "https://github.com/madlag/CodeXGLUE/tree/main/Code-Code/ClozeTesting-maxmin",
-        "raw_url": "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Code-Code/ClozeTesting-maxmin/data/cloze-maxmin/ruby",
-        "sizes": {"train": 38},
-    },
-}

go/train-00000-of-00001.parquet

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java/train-00000-of-00001.parquet

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+size 250672

javascript/train-00000-of-00001.parquet

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php/train-00000-of-00001.parquet

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python/train-00000-of-00001.parquet

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ruby/train-00000-of-00001.parquet

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