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import json
import os
import datasets
_CITATION = ""
_DESCRIPTION = "Multi-subset dataset for XS Toxicity benchmark."
_HOMEPAGE = ""
# List your available configs here
CONFIG_NAMES = [
"XSTest-response-Het",
"XSTest-response-Hom"
# Add more here if needed
]
class XSTestConfig(datasets.BuilderConfig):
def __init__(self, **kwargs):
super().__init__(**kwargs)
class XSTestDataset(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
XSTestConfig(
name=name,
version=datasets.Version("1.0.0"),
description=f"{name} subset of the XS Toxicity test benchmark."
)
for name in CONFIG_NAMES
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features({
"data_id": datasets.Value("string"),
"prompt": datasets.Value("string"),
"response": datasets.Value("string"),
"type": datasets.Value("string"),
}),
homepage=_HOMEPAGE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
data_dir = dl_manager.download_and_extract(".")
config_name = self.config.name
split_path = os.path.join(data_dir, "data", config_name, "train.jsonl")
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={"filepath": split_path}
)
]
def _generate_examples(self, filepath):
with open(filepath, "r", encoding="utf-8") as f:
for idx, line in enumerate(f):
yield idx, json.loads(line)
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