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"""Hello World Dataset - A simple dataset for demonstration purposes."""
import json
import datasets
_DESCRIPTION = """\
Hello World Dataset is a simple demonstration dataset containing various forms
of "Hello World" text with labels for greeting classification.
"""
_HOMEPAGE = "https://huggingface.co/datasets/chiedo/hello-world"
_LICENSE = "MIT"
_URLS = {
"train": "train.jsonl",
"validation": "validation.jsonl",
"test": "test.jsonl",
}
class HelloWorld(datasets.GeneratorBasedBuilder):
"""Hello World demonstration dataset."""
VERSION = datasets.Version("1.0.0")
BUILDER_CONFIGS = [
datasets.BuilderConfig(name="default", version=VERSION, description="Default configuration"),
]
DEFAULT_CONFIG_NAME = "default"
def _info(self):
features = datasets.Features(
{
"text": datasets.Value("string"),
"label": datasets.ClassLabel(names=["greeting", "partial_greeting", "greeting_variant"]),
}
)
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
homepage=_HOMEPAGE,
license=_LICENSE,
)
def _split_generators(self, dl_manager):
urls = _URLS
data_dir = dl_manager.download_and_extract(urls)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": data_dir["train"],
"split": "train",
},
),
datasets.SplitGenerator(
name=datasets.Split.VALIDATION,
gen_kwargs={
"filepath": data_dir["validation"],
"split": "validation",
},
),
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={
"filepath": data_dir["test"],
"split": "test",
},
),
]
def _generate_examples(self, filepath, split):
with open(filepath, encoding="utf-8") as f:
for key, row in enumerate(f):
data = json.loads(row)
yield key, {
"text": data["text"],
"label": data["label"],
} |