upload version=1.1.0

.gitattributes

@@ -1,3 +1,4 @@
+*.txt filter=lfs diff=lfs merge=lfs -text
 *.7z filter=lfs diff=lfs merge=lfs -text
 *.arrow filter=lfs diff=lfs merge=lfs -text
 *.bin filter=lfs diff=lfs merge=lfs -text

dataset_infos.json

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+{"default": {"description": "This is a dataset put together to pretrain a language model in Dhivehi, the language of Maldives.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {Dhivehi Corpus},\nauthor={Ismail Ashraq\n},\nyear={2021}\n}\n", "homepage": "https://huggingface.co/datasets/ashraq/dhivehi-corpus", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "dhivehi_corpus", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 4872983476, "num_examples": 16784472, "dataset_name": "dhivehi_corpus"}}, "download_checksums": {"train.txt": {"num_bytes": 4822623344, "checksum": "9cb7a93cbe4c886a8dcbddee67b8a2dc457d18d15c08dad09f4d9bc7a1534ba8"}}, "download_size": 4822623344, "post_processing_size": null, "dataset_size": 4872983476, "size_in_bytes": 9695606820}}

dhivehi-corpus.py

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+import datasets
+
+_CITATION = """\
+@InProceedings{huggingface:dataset,
+title = {A great new dataset},
+author={huggingface, Inc.
+},
+year={2021}
+}
+"""
+
+_DESCRIPTION = """\
+This is a dataset put together to pretrain a language model in Dhivehi, the language of Maldives.
+"""
+_HOMEPAGE = "https://huggingface.co/datasets/ashraq/dhivehi-corpus"
+
+_LICENSE = ""
+
+TRAIN_URL = "train.txt"
+
+
+class DhivehiCorpus(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.1.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                },
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        train_path = dl_manager.download_and_extract(TRAIN_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": train_path,
+                    "split": "train",
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        with open(filepath, encoding="utf8") as f:
+            data = f.readlines()
+            for id_, row in enumerate(data):
+                yield id_, {"text": row.strip()}
+        

train.txt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9cb7a93cbe4c886a8dcbddee67b8a2dc457d18d15c08dad09f4d9bc7a1534ba8
+size 4822623344