Datasets:
Tasks:
Text Classification
Formats:
parquet
Sub-tasks:
semantic-similarity-classification
Languages:
code
Size:
1M - 10M
License:
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, | |
} | |