Data uploaded

iwn_wordlists.py

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+"""IWN-WordLists"""
+
+
+import csv
+import json
+import os
+
+import datasets
+
+
+_CITATION = """\
+@inproceedings{bhattacharyya2010indowordnet,
+  title={IndoWordNet},
+  author={Bhattacharyya, Pushpak},
+  booktitle={Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)},
+  year={2010}
+}
+"""
+
+_DESCRIPTION = """\
+We provide the unique word list form the IndoWordnet (IWN) knowledge base.
+"""
+
+_HOMEPAGE = "https://www.cfilt.iitb.ac.in/indowordnet/"
+
+# TODO: Add the licence for the dataset here if you can find it
+_LICENSE = ""
+
+_URLS = {
+    "assamese": "./assamese.json",
+    "bengali": "./bengali.json",
+    "bodo": "./bodo.json",
+    "gujarati": "./gujarati.json",
+    "hindi": "./hindi.json",
+    "kannada": "./kannada.json",
+    "kashmiri": "./kashmiri.json",
+    "konkani": "./konkani.json",
+    "malayalam": "./malayalam.json",
+    "manipuri": "./manipuri.json",
+    "marathi": "./marathi.json",
+    "meitei": "./meitei.json",
+    "nepali": "./nepali.json",
+    "oriya": "./oriya.json",
+    "punjabi": "./punjabi.json",
+    "sanskrit": "./sanskrit.json",
+    "tamil": "./tamil.json",
+    "telugu": "./telugu.json",
+    "urdu": "./urdu.json"
+}
+
+class IWNWordListsConfig(datasets.BuilderConfig):
+    """BuilderConfig for IWNWordLists."""
+
+    def __init__(self, name, **kwargs):
+        """
+        Args:
+          name: `string`, name of dataset config
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(IWNWordListsConfig, self).__init__(name=name, **kwargs)
+
+class IWNWordLists(datasets.GeneratorBasedBuilder):
+    """TODO: Short description of my dataset."""
+
+    VERSION = datasets.Version("1.1.0")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="assamese", version=VERSION, description="Assamese Word List"),
+        datasets.BuilderConfig(name="bengali", version=VERSION, description="Bengali  Word List"),
+        datasets.BuilderConfig(name="bodo", version=VERSION, description="Bodo Word List"),
+        datasets.BuilderConfig(name="gujarati", version=VERSION, description="Gujarati Word List"),
+        datasets.BuilderConfig(name="hindi", version=VERSION, description="Hindi Word List"),
+        datasets.BuilderConfig(name="kannada", version=VERSION, description="Kannada Word List"),
+        datasets.BuilderConfig(name="kashmiri", version=VERSION, description="Kashmiri Word List"),
+        datasets.BuilderConfig(name="konkani", version=VERSION, description="Konkani Word List"),
+        datasets.BuilderConfig(name="malayalam", version=VERSION, description="Malyalam Word List"),
+        datasets.BuilderConfig(name="manipuri", version=VERSION, description="Manipuri Word List"),
+        datasets.BuilderConfig(name="marathi", version=VERSION, description="Marathi Word List"),
+        datasets.BuilderConfig(name="meitei", version=VERSION, description="Meitei Word List"),
+        datasets.BuilderConfig(name="nepali", version=VERSION, description="Nepali Word List"),
+        datasets.BuilderConfig(name="oriya", version=VERSION, description="Oriya Word List"),
+        datasets.BuilderConfig(name="punjabi", version=VERSION, description="Punjabi Word List"),
+        datasets.BuilderConfig(name="sanskrit", version=VERSION, description="Sanskrit Word List"),
+        datasets.BuilderConfig(name="tamil", version=VERSION, description="Tamil Word List"),
+        datasets.BuilderConfig(name="telugu", version=VERSION, description="Telugu Word List"),
+        datasets.BuilderConfig(name="urdu", version=VERSION, description="Urdu Word List"),
+
+
+    ]
+
+    # DEFAULT_CONFIG_NAME = "first_domain"  # It's not mandatory to have a default configuration. Just use one if it make sense.
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "word": datasets.Value("string")
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        urls = _URLS[self.config.name]
+        data_dir = dl_manager.download_and_extract(urls)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": data_dir,
+                    "split": "train",
+                },
+            )
+        ]
+
+    def _generate_examples(self, filepath, split):
+        with open(filepath, encoding="utf-8") as f:
+            data = json.loads(f)
+            for key, row in enumerate(data["data"]):  
+                yield key, {
+                    "word": row["word"]
+                }