added jsonl files and data loader script

data/as_indicHeadlineGeneration_v1.0.tar.bz2 → Data/as_QuestionGeneration_v1.0.tar.bz2

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data/ml_IndicHeadlineGeneration_v1.0.tar.bz2 → Data/bn_QuestionGeneration_v1.0.tar.bz2

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data/or_IndicHeadlineGeneration_v1.0.tar.bz2 → Data/gu_QuestionGeneration_v1.0.tar.bz2

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data/pa_IndicHeadlineGeneration_v1.0.tar.bz2 → Data/hi_QuestionGeneration_v1.0.tar.bz2

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Data/te_QuestionGeneration_v1.0.tar.bz2

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QuestionGeneration.py

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+import json
+import os
+
+import datasets
+
+_CITATION = """\
+@inproceedings{Kumar2022IndicNLGSM,
+  title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages},
+  author={Aman Kumar and Himani Shrotriya and Prachi Sahu and Raj Dabre and Ratish Puduppully and Anoop Kunchukuttan and Amogh Mishra and Mitesh M. Khapra and Pratyush Kumar},
+  year={2022},
+  url = "https://arxiv.org/abs/2203.05437"
+}
+"""
+
+_DESCRIPTION = """\
+This is the Question Generation dataset released as part of IndicNLG Suite. Each 
+example has five fields: id, squad_id, answer, context and question. We create this dataset in eleven 
+languages including as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. This is a translated data. The examples in each language are exactly similar but in different languages. 
+The number of examples in each language is 98,027.
+"""
+_HOMEPAGE = "https://indicnlp.ai4bharat.org/indicnlg-suite"
+
+_LICENSE = "Creative Commons Attribution-NonCommercial 4.0 International Public License"
+
+_URL = "https://huggingface.co/datasets/ai4bharat/IndicQuestionGeneration/resolve/main/data/{}_IndicQuestionGeneration_v{}.tar.bz2"
+
+
+_LANGUAGES = [
+    "as",
+    "bn",
+	"gu",
+    "hi",
+    "kn",
+    "ml",
+	"mr",
+    "or",
+    "pa",
+    "ta",
+    "te"
+]
+    
+
+class WikiBio(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
+    
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="{}".format(lang),
+            version=datasets.Version("1.0.0")
+        )
+        for lang in _LANGUAGES
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+					"squad_id": datasets.Value("string"),
+                    "answer": datasets.Value("string"),
+                    "context": datasets.Value("string"),
+                    "question": datasets.Value("string")
+                }
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+            license=_LICENSE,
+            version=self.VERSION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        lang = str(self.config.name)
+        url = _URL.format(lang, self.VERSION.version_str[:-2])
+
+        data_dir = dl_manager.download_and_extract(url)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir,  "train_" + lang + ".jsonl"),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "test_" + lang + ".jsonl"),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "val_" + lang + ".jsonl"),
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples as (key, example) tuples."""
+        with open(filepath, encoding="utf-8") as f:
+            for idx_, row in enumerate(f):
+                data = json.loads(row)
+                yield idx_, {
+                    "id": data["id"],
+					"squad_id": data["squad_id"],
+                    "answer": data["answer"],
+                    "context": data["context"],
+                    "question": data["question"]
+                   
+                }

data/bn_IndicHeadlineGeneration_v1.0.tar.bz2

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data/hi_IndicHeadlineGeneration_v1.0.tar.bz2

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data/te_IndicHeadlineGeneration_v1.0.tar.bz2

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