IndicXParaphrase v0

IndicXParaphrase.py

@@ -0,0 +1,75 @@
+"""TODO(Indicxparaphrase): Add a description here."""
+
+
+import json
+import pandas as pd
+import datasets
+
+
+_HOMEPAGE = ""
+
+_CITATION = """\
+
+"""
+
+_DESCRIPTION = """\
+
+"""
+
+_LANG = ["as", "hi", "kn", "ml", "mr", "pa", "te"]
+_URL = "https://huggingface.co/datasets/ai4bharat/IndicXParaphrase/resolve/main/data/{split}.{language}.jsonl"
+_VERSION = datasets.Version("1.0.0", "First version of Indicxparaphrase")
+
+
+class Indicxparaphrase(datasets.GeneratorBasedBuilder):
+    """TODO(Indicxparaphrase): Short description of my dataset."""
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name=f"{lang}",
+            description=f"Cross-lingual paraphrase dataset for language {lang}",
+            version=_VERSION,
+        )
+        for lang in _LANG
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION + self.config.description,
+            features=datasets.Features(
+                {
+                    "english": datasets.Value("string"),
+                    "translation": datasets.Value("string"),
+                    "paraphrase": datasets.Value("string"),
+                    "non-paraphrase": datasets.Value("string"),
+                }
+            ),
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        language = self.config.name
+        splits = {datasets.Split.TEST: "test"}
+        data_urls = {
+            split: _URL.format(language=language, split=splits[split]) for split in splits
+        }
+        dl_paths = dl_manager.download(data_urls)
+        return [
+            datasets.SplitGenerator(
+                name=split,
+                gen_kwargs={"filepath": dl_paths[split]},
+            )
+            for split in splits
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        df = pd.read_csv(filepath, sep="\t", header=None)
+        for idx, row in df.iterrows():
+            yield idx, {
+                "english": row[0],
+                "translation": row[1],
+                "paraphrase": row[2],
+                "non-paraphrase": row[3],
+            }