First version of the malayalam_wiki dataset.

.gitattributes

@@ -25,3 +25,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.txt filter=lfs diff=lfs merge=lfs -text

dataset_infos.json

@@ -0,0 +1,56 @@
+{
+    "default": {
+        "description": "Useful tools to extract malayalam text from the Common Crawl Datasets.\n",
+        "citation": "@article{qburst,\n  title={Common Crawl - Malayalam},\n  journal={arXiv preprint arXiv:2005.00085},\n  year={2020}\n}\n",
+        "homepage": "https://github.com/qburst/common-crawl-malayalam",
+        "license": "",
+        "features": {
+            "text": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            }
+        },
+        "post_processed": null,
+        "supervised_keys": null,
+        "builder_name": "malayalam_wiki",
+        "config_name": "default",
+        "version": {
+            "version_str": "0.0.0",
+            "description": null,
+            "major": 0,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 15384,
+                "num_examples": 4800,
+                "dataset_name": "malayalam_wiki"
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 1943,
+                "num_examples": 600,
+                "dataset_name": "malayalam_wiki"
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 1959,
+                "num_examples": 600,
+                "dataset_name": "malayalam_wiki"
+            }
+        },
+        "download_checksums": {
+            "https://storage.googleapis.com/ai4bharat-public-indic-nlp-corpora/evaluations/classification/indicnlp-news-articles.tgz": {
+                "num_bytes": 36486362,
+                "checksum": ""
+            }
+        },
+        "download_size": null,
+        "post_processing_size": null,
+        "dataset_size": null,
+        "size_in_bytes": null
+    }
+}

malayalam_news.py

@@ -0,0 +1,96 @@
+import csv
+import os
+
+import datasets
+
+from datasets.tasks import TextClassification
+
+_DESCRIPTION = """\
+Common Crawl - Malayalam.
+"""
+
+_CITATION = """\
+@article{qburst,
+    title={Common Crawl - Malayalam},
+    author={n.d},
+    year={2020},
+    journal={n.d},
+}
+"""
+
+_URLs = {
+    "malayalam_wiki_1": "https://calicut.qburst.in/commoncrawl/malayalam/2020-10/malayalam_filtered_html_body.tar.gz",
+    "malayalam_wiki_2": "https://calicut.qburst.in/commoncrawl/malayalam/2020-10/unfiltered_heading_and_para.tar.gz"
+}
+
+class MalayalamWikiConfig(datasets.BuilderConfig):
+    """BuilderConfig for MalayalamWiki."""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for MalayalamWiki.
+
+        Args:
+            **kwargs: keyword arguments forwarded to super.
+        """
+        super(MalayalamWikiConfig, self).__init__(**kwargs)
+
+class MalayalamWiki(datasets.GeneratorBasedBuilder):
+    """Malayalam News topic classification dataset."""
+
+    VERSION = datasets.Version("1.0.0")
+
+    BUILDER_CONFIGS = [
+        MalayalamWikiConfig(
+            name="malayalam_wiki", version=VERSION, description="Common Crawl - Malayalam."
+        ),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string")
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://github.com/qburst/common-crawl-malayalam",
+            citation=_CITATION
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        dl_path = dl_manager.download_and_extract(_URLs)
+        files = sorted(os.listdir(os.path.join(dl_path, "malayalam_filtered_html_body")))
+        file_paths = [os.path.join(dl_path, "malayalam_filtered_html_body", file) for file in files]
+        files = sorted(os.listdir(os.path.join(dl_path, "unfiltered_heading_and_para")))
+        file_paths.append([os.path.join(dl_path, "malayalam_filtered_html_body", file) for file in files])
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": file_paths[:32],
+                    "split": "train",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": file_paths[33:36],
+                    "split": "train",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": file_paths[37:40],
+                    "split": "train",
+                },
+            )
+        ]
+
+    def _generate_examples(self, filepath):
+        for file_id, file in enumerate(filepath):
+            with open(file, encoding="utf-8") as f:
+                for row_id, row in enumerate(f):
+                    yield row_id, {"text": row.strip()}