Add dataset loading script

samanantar.py

@@ -0,0 +1,103 @@
+# coding=utf-8
+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Samanantar dataset."""
+
+import re
+
+import pandas as pd
+
+import datasets
+
+
+_CITATION = """\
+@misc{ramesh2021samanantar,
+      title={Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages},
+      author={Gowtham Ramesh and Sumanth Doddapaneni and Aravinth Bheemaraj and Mayank Jobanputra and Raghavan AK and Ajitesh Sharma and Sujit Sahoo and Harshita Diddee and Mahalakshmi J and Divyanshu Kakwani and Navneet Kumar and Aswin Pradeep and Srihari Nagaraj and Kumar Deepak and Vivek Raghavan and Anoop Kunchukuttan and Pratyush Kumar and Mitesh Shantadevi Khapra},
+      year={2021},
+      eprint={2104.05596},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+"""
+
+_DESCRIPTION = """\
+Samanantar is the largest publicly available parallel corpora collection for Indic languages: Assamese, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Oriya, Punjabi, Tamil, Telugu. The corpus has 49.6M sentence pairs between English to Indian Languages.
+"""
+
+_HOMEPAGE = "https://indicnlp.ai4bharat.org/samanantar/"
+
+_LICENSE = "Creative Commons Attribution-NonCommercial 4.0 International"
+
+_URLS = {
+    "0.3.0": "https://storage.googleapis.com/samanantar-public/V0.3/source_wise_splits.zip",
+}
+_LANGUAGES = ["as", "bn", "gu", "hi", "kn", "ml", "mr", "or", "pa", "ta", "te"]
+
+PATH_PATTERN = re.compile(r"/(?:existing|created)/(?P<data_source>[^/]+)/")
+
+
+class SamanantarConfig(datasets.BuilderConfig):
+    VERSION = datasets.Version("0.3.0")
+
+    def __init__(self, language=None, version=VERSION, **kwargs):
+        super().__init__(name=language, version=version, **kwargs)
+        self.language = language
+
+
+class Samanantar(datasets.GeneratorBasedBuilder):
+    """Samanantar dataset."""
+
+    BUILDER_CONFIG_CLASS = SamanantarConfig
+    BUILDER_CONFIGS = [SamanantarConfig(language=language) for language in _LANGUAGES]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "idx": datasets.Value("int64"),
+                    "src": datasets.Value("string"),
+                    "tgt": datasets.Value("string"),
+                    "data_source": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        urls = _URLS[str(self.config.version)]
+        archive = dl_manager.download_and_extract(urls)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "paths": dl_manager.iter_files([archive]),
+                },
+            ),
+        ]
+
+    def _generate_examples(self, paths):
+        id_ = 0
+        for path in paths:
+            if "/created/" in path and f"/en-{self.config.language}/{self.config.language}_sents.tsv" in path:
+                match = PATH_PATTERN.search(path)
+                df = pd.read_csv(path, sep="\t")
+                for row in df.to_dict(orient="records"):
+                    row.update(match.groupdict())
+                    yield id_, row
+                    id_ += 1