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import json
from datasets import DatasetBuilder, SplitGenerator, Split, Features, Value, DownloadConfig
class PersianPoetry(DatasetBuilder):
VERSION = "1.0.0"
def _info(self):
return datasets.DatasetInfo(
description="This dataset contains a rich collection of Persian poems along with metadata about the poets and the verses.",
features=Features({
'poet': Value('string'),
'title': Value('string'),
'content': datasets.Sequence({
'hemistich': {
'verse0': Value('string'),
'verse1': Value('string')
},
'verse': {
'text': Value('string')
}
})
}),
homepage="https://github.com/ganjoor/desktop/releases/tag/v2.81",
citation="""Persian Poetry Dataset. Collected by Kakooch from the Ganjoor Project. Available at: https://huggingface.co/datasets/persian_poetry""",
)
def _split_generators(self, dl_manager):
# You need to download and extract the data manually and place it in the path defined below.
local_path = "/path/to/your/dataset.jsonl"
return [
SplitGenerator(
name=Split.TRAIN,
gen_kwargs={
"filepath": local_path
}
),
]
def _generate_examples(self, filepath):
with open(filepath, encoding="utf-8") as f:
for id_, line in enumerate(f):
data = json.loads(line.strip())
yield id_, {
'poet': data['poet'],
'title': data['title'],
'content': data['content']
}
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