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import os
import glob
import json
import datasets
_VERSION = datasets.Version("1.0.0", "")
_URL = ""
_CITATION = """\
There is no citation information
"""
_DESCRIPTION = """\
simple code knowledge eval dataset loading script
"""
TRAIN_FILE = "train.json"
VALIDATION_FILE = "validation.json"
TEST_FILE = "test.json"
def generator(fpath):
with open(fpath, "r") as f:
in_json = json.load(f)
for item in in_json:
yield {
"content": item["content"],
"label": str(item["score"]),
"lang": item["lang"],
"repo_name": item["repo_name"],
"repo_path": item["repo_path"],
"repo_licenses": item["repo_licenses"],
}
class CodeKnowledgeEvalDataset(datasets.GeneratorBasedBuilder):
"""Code Knowledge Evaluation Dataset"""
BUILDER_CONFIGS = [
datasets.BuilderConfig(
name="default",
version=_VERSION,
description="Code Knowledge Evaluation Dataset",
)
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"content": datasets.Value("string"),
"label": datasets.ClassLabel(num_classes=6, names=['0', '1', '2', '3', '4', '5']),
"lang": datasets.Value("string"),
"repo_name": datasets.Value("string"),
"repo_path": datasets.Value("string"),
"repo_licenses": datasets.Sequence(feature=datasets.Value("string")),
}
),
supervised_keys=None, # Probably needs to be fixed.
homepage=_URL,
citation=_CITATION,
)
def _split_generators(self, dl_manager: datasets.DownloadManager):
path_kv = {
datasets.Split.TRAIN: TRAIN_FILE,
datasets.Split.VALIDATION: VALIDATION_FILE,
datasets.Split.TEST: TEST_FILE,
}
return [
datasets.SplitGenerator(name=k, gen_kwargs={'fpath': v}) for k, v in path_kv.items()
]
def _generate_examples(self, fpath):
"""Yields examples."""
for idx, item in enumerate(generator(fpath)):
yield idx, item
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