Create dailydialogue_bn.py

dailydialogue_bn.py

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+"""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
+                }