Datasets:

csebuetnlp
/

dailydialogue_bn

	"""DailyDialogue Bengali Dataset"""

	import os
	import json

	import datasets

	_CITATION = """\
	@inproceedings{bhattacharjee-etal-2023-banglanlg,
	title = "{B}angla{NLG} and {B}angla{T}5: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in {B}angla",
	author = "Bhattacharjee, Abhik and
	Hasan, Tahmid and
	Ahmad, Wasi Uddin and
	Shahriyar, Rifat",
	booktitle = "Findings of the Association for Computational Linguistics: EACL 2023",
	month = may,
	year = "2023",
	address = "Dubrovnik, Croatia",
	publisher = "Association for Computational Linguistics",
	url = "https://aclanthology.org/2023.findings-eacl.54",
	pages = "726--735",
	abstract = "This work presents {`}BanglaNLG,{'} a comprehensive benchmark for evaluating natural language generation (NLG) models in Bangla, a widely spoken yet low-resource language. We aggregate six challenging conditional text generation tasks under the BanglaNLG benchmark, introducing a new dataset on dialogue generation in the process. Furthermore, using a clean corpus of 27.5 GB of Bangla data, we pretrain {`}BanglaT5{'}, a sequence-to-sequence Transformer language model for Bangla. BanglaT5 achieves state-of-the-art performance in all of these tasks, outperforming several multilingual models by up to 9{\%} absolute gain and 32{\%} relative gain. We are making the new dialogue dataset and the BanglaT5 model publicly available at https://github.com/csebuetnlp/BanglaNLG in the hope of advancing future research on Bangla NLG.",
	}
	"""

	_DESCRIPTION = """\
	DailyDialogue (bengali) has been derived from the original English dataset.
	"""

	_HOMEPAGE = "https://github.com/csebuetnlp/BanglaNLG"
	_LICENSE = "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)"
	_URL = "https://huggingface.co/datasets/csebuetnlp/dailydialogue_bn/resolve/main/data/dailydialogue_bn.tar.bz2"
	_VERSION = datasets.Version("0.0.1")



	class DailydialogueBn(datasets.GeneratorBasedBuilder):
	"""DailyDialogue Bengali Dataset"""

	BUILDER_CONFIGS = [
	datasets.BuilderConfig(
	name="dailydialogue_bn",
	version=_VERSION,
	description=_DESCRIPTION,
	)
	]

	def _info(self):
	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=datasets.Features(
	{
	"id": datasets.Value("string"),
	"dialogue": datasets.features.Sequence(
	datasets.Value("string")
	),
	}
	),
	supervised_keys=None,
	homepage=_HOMEPAGE,
	license=_LICENSE,
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	"""Returns SplitGenerators."""
	data_dir = os.path.join(dl_manager.download_and_extract(_URL), "dailydialogue_bn")
	return [
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN,
	gen_kwargs={
	"filepath": os.path.join(data_dir, "train.jsonl"),
	},
	),
	datasets.SplitGenerator(
	name=datasets.Split.TEST,
	gen_kwargs={
	"filepath": os.path.join(data_dir, "test.jsonl"),
	},
	),
	datasets.SplitGenerator(
	name=datasets.Split.VALIDATION,
	gen_kwargs={
	"filepath": os.path.join(data_dir, "validation.jsonl"),
	},
	),
	]

	def _generate_examples(self, filepath):
	"""Yields examples as (key, example) tuples."""

	with open(filepath, encoding="utf-8") as f:
	for i, line in enumerate(f):
	data = json.loads(line.strip())['source']
	yield i, {
	"id": str(i),
	"dialogue": data
	}