updated IndicHeadlineGeneration.py

IndicHeadlineGeneration.py

@@ -1,112 +1,112 @@
-
-
-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 new headline generation dataset released as part of IndicNLG Suite. Each 
-input document is paired an output title. We create this dataset in eleven 
-languages including as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. The total
-size of the dataset is 1.43M.
-"""
-_HOMEPAGE = "https://indicnlp.ai4bharat.org/indicnlg-suite"
-
-_LICENSE = "Creative Commons Attribution-NonCommercial 4.0 International Public License"
-
-_URL = "https://huggingface.co/datasets/ai4bharat/IndicHeadlineGeneration/resolve/main/data/{}_IndicHeadlineGeneration_v{}.tar.bz2"
-
-
-_LANGUAGES = [
-    "as",
-    "bn",
-    "gu",
-    "hi",
-    "kn",
-    "ml",
-    "mr",
-    "or",
-    "pa",
-    "ta",
-    "te"
-]
-    
-
-class IndicHeadlineGeneration(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"),
-                    "input": datasets.Value("string"),
-                    "target": datasets.Value("string"),
-                    "url":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, lang + "_train.jsonl"),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir, lang + "_test.jsonl"),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir, lang + "_dev.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"],
-                    "input": data["Document"],
-                    "target": data["Title"],
-                    "url":data["URL"]
-                   
+
+
+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 new headline generation dataset released as part of IndicNLG Suite. Each 
+input document is paired an output title. We create this dataset in eleven 
+languages including as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. The total
+size of the dataset is 1.43M.
+"""
+_HOMEPAGE = "https://indicnlp.ai4bharat.org/indicnlg-suite"
+
+_LICENSE = "Creative Commons Attribution-NonCommercial 4.0 International Public License"
+
+_URL = "https://huggingface.co/datasets/ai4bharat/IndicHeadlineGeneration/resolve/main/data/{}_IndicHeadlineGeneration_v{}.zip"
+
+
+_LANGUAGES = [
+    "as",
+    "bn",
+    "gu",
+    "hi",
+    "kn",
+    "ml",
+    "mr",
+    "or",
+    "pa",
+    "ta",
+    "te"
+]
+    
+
+class IndicHeadlineGeneration(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"),
+                    "input": datasets.Value("string"),
+                    "target": datasets.Value("string"),
+                    "url":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, lang + "_train.jsonl"),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, lang + "_test.jsonl"),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, lang + "_dev.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"],
+                    "input": data["Document"],
+                    "target": data["Title"],
+                    "url":data["URL"]
+                   
                 }