Convert dataset to Parquet (#4)

- Convert dataset to Parquet (0c6f27ab3a54d9923a8951116e451770f5a2b6d7)
- Delete loading script (8f3ac6e2f1ef58f0392afdc29a1867005dd3e13f)
- Delete loading script auxiliary file (a2f20bce3c6ef88461b3e07a1f37be7ba053d0aa)
- Delete loading script auxiliary file (94cfda1afa272e7264633790ebd09e026aa2c096)

README.md

@@ -30,16 +30,25 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 96225611
+    num_bytes: 96225531
     num_examples: 100000
   - name: validation
-    num_bytes: 1749751
+    num_bytes: 1749743
     num_examples: 2000
   - name: test
-    num_bytes: 1609306
+    num_bytes: 1609298
     num_examples: 2000
-  download_size: 100769638
-  dataset_size: 99584668
+  download_size: 34258354
+  dataset_size: 99584572
+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_tc_text_to_code"
 

code_x_glue_tc_text_to_code.py

@@ -1,69 +0,0 @@
-import json
-from typing import List
-
-import datasets
-
-from .common import Child
-from .generated_definitions import DEFINITIONS
-
-
-_DESCRIPTION = """We use concode dataset which is a widely used code generation dataset from Iyer's EMNLP 2018 paper Mapping Language to Code in Programmatic Context. See paper for details."""
-_CITATION = """@article{iyer2018mapping,
-title={Mapping language to code in programmatic context},
-author={Iyer, Srinivasan and Konstas, Ioannis and Cheung, Alvin and Zettlemoyer, Luke},
-journal={arXiv preprint arXiv:1808.09588},
-year={2018}
-}"""
-
-
-class CodeXGlueTcTextToCodeImpl(Child):
-    _DESCRIPTION = _DESCRIPTION
-    _CITATION = _CITATION
-
-    _FEATURES = {
-        "id": datasets.Value("int32"),  # Index of the sample
-        "nl": datasets.Value("string"),  # The natural language description of the task
-        "code": datasets.Value("string"),  # The programming source code for the task
-    }
-
-    _SUPERVISED_KEYS = ["code"]
-
-    SPLITS = {"train": datasets.Split.TRAIN, "dev": datasets.Split.VALIDATION, "test": datasets.Split.TEST}
-
-    def generate_urls(self, split_name):
-        yield "data", f"concode/{split_name}.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 = {
-    "CodeXGlueTcTextToCode": CodeXGlueTcTextToCodeImpl,
-}
-
-
-class CodeXGlueTcTextToCode(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,
-    }

data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3da8b3957ef33fa28cdffd5878ce6f1d35d2b88e02efe622008673e459e3ca73
+size 526047

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:52922bd26d5a10042cce4b716310c5b34807cdf0328c8727d2384ba5d64001c0
+size 33097826

data/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:27fb25c6d2cbd2e86726b8093d472086059979866c9e6f02b2896cd60cd4b167
+size 634481

generated_definitions.py

@@ -1,12 +0,0 @@
-DEFINITIONS = {
-    "default": {
-        "class_name": "CodeXGlueTcTextToCode",
-        "dataset_type": "Text-Code",
-        "description": "CodeXGLUE text-to-code dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Text-Code/text-to-code",
-        "dir_name": "text-to-code",
-        "name": "default",
-        "project_url": "https://github.com/madlag/CodeXGLUE/tree/main/Text-Code/text-to-code",
-        "raw_url": "https://raw.githubusercontent.com/madlag/CodeXGLUE/main/Text-Code/text-to-code/dataset",
-        "sizes": {"test": 2000, "train": 100000, "validation": 2000},
-    }
-}