File size: 1,821 Bytes
416fa7f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | import json
import datasets
# You can update these with more detailed information.
_DESCRIPTION = """
TanaData is a custom dataset for instruction-response tasks.
"""
_CITATION = """
@misc{tanadata2025,
title={TanaData Dataset},
year={2025},
note={Custom dataset hosted on Hugging Face}
}
"""
class TanaData(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("1.0.0")
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features({
"instruction": datasets.Value("string"),
"input": datasets.Value("string"),
"output": datasets.Value("string"),
}),
supervised_keys=None,
homepage="https://huggingface.co/mdevoz/tanadata",
citation=_CITATION,
)
def _split_generators(self, dl_manager):
# This URL points to your JSON file in the repository.
file_path = dl_manager.download_and_extract(
"https://huggingface.co/mdevoz/tanadata/resolve/main/tanadata.json"
)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={"filepath": file_path}
)
]
def _generate_examples(self, filepath):
# Adjust this logic based on your JSON file structure.
with open(filepath, encoding="utf-8") as f:
# If your file is a JSON array of examples:
data = json.load(f)
for idx, example in enumerate(data):
yield idx, example
# For testing, you can uncomment the following lines locally:
# if __name__ == "__main__":
# from datasets import load_dataset
# dataset = load_dataset(__file__, name="tanadata")
# print(dataset)
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