LFS?

dataset_infos.json

@@ -1 +1 @@
-{"github.com": {"description": "Dataset for automatic summarization of Russian news\n", "citation": "\n@InProceedings{10.1007/978-3-030-59082-6_9,\n    author=\"Gusev, Ilya\",\n    editor=\"Filchenkov, Andrey and Kauttonen, Janne and Pivovarova, Lidia\",\n    title=\"Dataset for Automatic Summarization of Russian News\",\n    booktitle=\"Artificial Intelligence and Natural Language\",\n    year=\"2020\",\n    publisher=\"Springer International Publishing\",\n    address=\"Cham\",\n    pages=\"122--134\",\n    isbn=\"978-3-030-59082-6\"\n}\n", "homepage": "https://github.com/IlyaGusev/gazeta", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "date": {"dtype": "string", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "gazeta_dataset", "config_name": "github.com", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 468510447, "num_examples": 52400, "dataset_name": "gazeta_dataset"}, "test": {"name": "test", "num_bytes": 51888697, "num_examples": 5770, "dataset_name": "gazeta_dataset"}, "validation": {"name": "validation", "num_bytes": 48394731, "num_examples": 5265, "dataset_name": "gazeta_dataset"}}, "download_checksums": {"https://github.com/IlyaGusev/gazeta/releases/download/0.1/gazeta_jsonl.tar.gz": {"num_bytes": 158907783, "checksum": "43787350a7690803f6a50b99976c1884abf2d3a0246cea2a68e394b2b7d7fa66"}}, "download_size": 158907783, "post_processing_size": null, "dataset_size": 568793875, "size_in_bytes": 727701658}}
+{"github.com": {"description": "Dataset for automatic summarization of Russian news\n", "citation": "\n@InProceedings{10.1007/978-3-030-59082-6_9,\n    author=\"Gusev, Ilya\",\n    editor=\"Filchenkov, Andrey and Kauttonen, Janne and Pivovarova, Lidia\",\n    title=\"Dataset for Automatic Summarization of Russian News\",\n    booktitle=\"Artificial Intelligence and Natural Language\",\n    year=\"2020\",\n    publisher=\"Springer International Publishing\",\n    address=\"Cham\",\n    pages=\"122--134\",\n    isbn=\"978-3-030-59082-6\"\n}\n", "homepage": "https://github.com/IlyaGusev/gazeta", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "date": {"dtype": "string", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "gazeta_dataset", "config_name": "github.com", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 468510447, "num_examples": 52400, "dataset_name": "gazeta_dataset"}, "test": {"name": "test", "num_bytes": 51888697, "num_examples": 5770, "dataset_name": "gazeta_dataset"}, "validation": {"name": "validation", "num_bytes": 48394731, "num_examples": 5265, "dataset_name": "gazeta_dataset"}}, "download_checksums": {"https://github.com/IlyaGusev/gazeta/releases/download/0.1/gazeta_jsonl.tar.gz": {"num_bytes": 158907783, "checksum": "43787350a7690803f6a50b99976c1884abf2d3a0246cea2a68e394b2b7d7fa66"}}, "download_size": 158907783, "post_processing_size": null, "dataset_size": 568793875, "size_in_bytes": 727701658}, "default": {"description": "Dataset for automatic summarization of Russian news", "citation": "\n@InProceedings{10.1007/978-3-030-59082-6_9,\n    author=\"Gusev, Ilya\",\n    editor=\"Filchenkov, Andrey and Kauttonen, Janne and Pivovarova, Lidia\",\n    title=\"Dataset for Automatic Summarization of Russian News\",\n    booktitle=\"Artificial Intelligence and Natural Language\",\n    year=\"2020\",\n    publisher=\"Springer International Publishing\",\n    address=\"Cham\",\n    pages=\"122--134\",\n    isbn=\"978-3-030-59082-6\"\n}\n", "homepage": "https://github.com/IlyaGusev/gazeta", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "date": {"dtype": "string", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "text", "output": "summary"}, "task_templates": null, "builder_name": "gazeta_dataset", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 468510447, "num_examples": 52400, "dataset_name": "gazeta_dataset"}, "test": {"name": "test", "num_bytes": 51888697, "num_examples": 5770, "dataset_name": "gazeta_dataset"}, "validation": {"name": "validation", "num_bytes": 48394731, "num_examples": 5265, "dataset_name": "gazeta_dataset"}}, "download_checksums": {"gazeta_train.jsonl": {"num_bytes": 470816510, "checksum": "32a9bd05e2f0aa0ff8bfac4e4c945e03dbf82d61fd36a47ad9894c84d8a6f8ee"}, "gazeta_val.jsonl": {"num_bytes": 48626461, "checksum": "415c466f0f1a38bffc575b8af01d735049ab7194f18737646d09a9faf960569e"}, "gazeta_test.jsonl": {"num_bytes": 52142626, "checksum": "a1b18970198cfa88d2f956c98787062028c5dc72456b62578fc72c4b7ec52d9d"}}, "download_size": 571585597, "post_processing_size": null, "dataset_size": 568793875, "size_in_bytes": 1140379472}}

gazeta.py

@@ -39,8 +39,10 @@ _DESCRIPTION = "Dataset for automatic summarization of Russian news"
 
 _HOMEPAGE = "https://github.com/IlyaGusev/gazeta"
 
-_URLs = {
-    "default": "https://github.com/IlyaGusev/gazeta/releases/download/1.0/gazeta_jsonl.tar.gz",
+_URLS = {
+    "train": "gazeta_train.jsonl",
+    "val": "gazeta_val.jsonl",
+    "test": "gazeta_test.jsonl"
 }
 
 _DOCUMENT = "text"
@@ -77,36 +79,14 @@ class GazetaDataset(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        my_urls = _URLs[self.config.name]
-        data_dir = dl_manager.download_and_extract(my_urls)
+        downloaded_files = dl_manager.download_and_extract(_URLS)
         return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir, "gazeta_train.jsonl"),
-                    "split": "train",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir, "gazeta_test.jsonl"),
-                    "split": "test"
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir, "gazeta_val.jsonl"),
-                    "split": "dev",
-                },
-            ),
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["val"]}),
         ]
 
-    def _generate_examples(
-        self, filepath, split
-    ):
+    def _generate_examples(self, filepath):
         with open(filepath, encoding="utf-8") as f:
             for id_, row in enumerate(f):
                 data = json.loads(row)