parquet

.gitattributes

@@ -28,3 +28,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 gazeta_train.jsonl filter=lfs diff=lfs merge=lfs -text
 gazeta_val.jsonl filter=lfs diff=lfs merge=lfs -text
 gazeta_test.jsonl filter=lfs diff=lfs merge=lfs -text
+default/test/index.duckdb filter=lfs diff=lfs merge=lfs -text
+default/validation/index.duckdb filter=lfs diff=lfs merge=lfs -text
+default/train/index.duckdb filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,29 +1,47 @@
 ---
-YAML tags:
 annotations_creators:
 - expert-generated
 - found
 language_creators:
 - expert-generated
 - found
+task_categories:
+- summarization
 language:
 - ru
-language_bcp47:
-- ru-RU
+size_categories:
+- 10K<n<100K
 license:
 - unknown
 multilinguality:
 - monolingual
-pretty_name: Gazeta
-size_categories:
-- 10K<n<100K
 source_datasets:
 - original
-task_categories:
-- conditional-text-generation
-task_ids:
-- summarization
 paperswithcode_id: gazeta
+dataset_info:
+  features:
+  - name: text
+    dtype: string
+  - name: summary
+    dtype: string
+  - name: title
+    dtype: string
+  - name: date
+    dtype: string
+  - name: url
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 547118436
+    num_examples: 60964
+  - name: validation
+    num_bytes: 55784053
+    num_examples: 6369
+  - name: test
+    num_bytes: 60816821
+    num_examples: 6793
+  download_size: 332486618
+  dataset_size: 663719310
 ---
 
 # Dataset Card for Gazeta
@@ -44,14 +62,11 @@ paperswithcode_id: gazeta
   - [Annotations](#annotations)
   - [Personal and Sensitive Information](#personal-and-sensitive-information)
 - [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
   - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
 - [Additional Information](#additional-information)
   - [Dataset Curators](#dataset-curators)
   - [Licensing Information](#licensing-information)
   - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
 
 ## Dataset Description
 
@@ -144,34 +159,16 @@ When the first version of the dataset was collected, there were no other dataset
 
 Texts and summaries were written by journalists at [Gazeta](https://www.gazeta.ru/).
 
-### Annotations
-
-#### Annotation process
-
-[N/A]
-
-#### Who are the annotators?
-
-[N/A]
-
 ### Personal and Sensitive Information
 
 The dataset is not anonymized, so individuals' names can be found in the dataset. Information about the original author is not included in the dataset.
 
 ## Considerations for Using the Data
 
-### Social Impact of Dataset
-
-[More Information Needed]
-
 ### Discussion of Biases
 
 It is a dataset from a single source. Thus it has a constrained text style and event perspective.
 
-### Other Known Limitations
-
-[More Information Needed]
-
 ## Additional Information
 
 ### Dataset Curators
@@ -197,7 +194,3 @@ Legal basis for distribution of the dataset: https://www.gazeta.ru/credits.shtml
     isbn="978-3-030-59082-6"
 }
 ```
-
-### Contributions
-
-[N/A]

dataset_infos.json

@@ -1 +0,0 @@
-{"default": {"description": "Gazeta: 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": "2.0.0", "description": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 547118576, "num_examples": 60964, "dataset_name": "gazeta_dataset"}, "test": {"name": "test", "num_bytes": 60816841, "num_examples": 6793, "dataset_name": "gazeta_dataset"}, "validation": {"name": "validation", "num_bytes": 55784073, "num_examples": 6369, "dataset_name": "gazeta_dataset"}}, "download_checksums": {"gazeta_train.jsonl": {"num_bytes": 549801555, "checksum": "678ce0eab9b3026c9f3388c6f8b2e5a48c84590819e175a462cf15749bc0c60e"}, "gazeta_val.jsonl": {"num_bytes": 56064530, "checksum": "bb1e1edd75b9de85af193de473e301655f59e345be3c29ce9087326adada24fd"}, "gazeta_test.jsonl": {"num_bytes": 61115756, "checksum": "3963ca7e2313c4bb75a4140abd614e17d98199c9f03f03490ab6afb19bfbf6cf"}}, "download_size": 666981841, "post_processing_size": null, "dataset_size": 663719490, "size_in_bytes": 1330701331}}

gazeta_val.jsonl → default/test/0000.parquet

@@ -1,3 +1,3 @@
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-oid sha256:bb1e1edd75b9de85af193de473e301655f59e345be3c29ce9087326adada24fd
-size 56064530
+oid sha256:db72251f11b33a7d69a7de709a4026a19de04f8039ad3ef1696986ba13a6d959
+size 30276385

gazeta_train.jsonl → default/train/0000.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:678ce0eab9b3026c9f3388c6f8b2e5a48c84590819e175a462cf15749bc0c60e
-size 549801555
+oid sha256:932df194fa24b4bd3cc50ede7f79ebf9c0fb57eff0972dca336fa0e5ea747710
+size 251643354

gazeta_test.jsonl → default/train/0001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3963ca7e2313c4bb75a4140abd614e17d98199c9f03f03490ab6afb19bfbf6cf
-size 61115756
+oid sha256:50ce4af4957fff7d1e6adf4ff6358a11abee870aece6e0536549f98141e5b697
+size 22741670

default/validation/0000.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c59c0e15fa659bc3e33c150d605e1c8139646fc04e402540ea84568cf80f323e
+size 27825209

gazeta.py

@@ -1,92 +0,0 @@
-# coding=utf-8
-# Copyright 2020 The HuggingFace Datasets Authors and Ilya Gusev
-#
-# 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.
-
-# Lint as: python3
-"""Gazeta: Dataset for Automatic Summarization of Russian News"""
-
-
-import json
-import os
-
-import datasets
-
-
-_CITATION = """
-@InProceedings{10.1007/978-3-030-59082-6_9,
-    author="Gusev, Ilya",
-    editor="Filchenkov, Andrey and Kauttonen, Janne and Pivovarova, Lidia",
-    title="Dataset for Automatic Summarization of Russian News",
-    booktitle="Artificial Intelligence and Natural Language",
-    year="2020",
-    publisher="Springer International Publishing",
-    address="Cham",
-    pages="122--134",
-    isbn="978-3-030-59082-6"
-}
-"""
-
-_DESCRIPTION = "Dataset for automatic summarization of Russian news"
-_HOMEPAGE = "https://github.com/IlyaGusev/gazeta"
-_URLS = {
-    "train": "gazeta_train.jsonl",
-    "val": "gazeta_val.jsonl",
-    "test": "gazeta_test.jsonl"
-}
-_DOCUMENT = "text"
-_SUMMARY = "summary"
-
-
-class GazetaDataset(datasets.GeneratorBasedBuilder):
-    """Gazeta Dataset"""
-
-    VERSION = datasets.Version("2.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="default", version=VERSION, description=""),
-    ]
-
-    DEFAULT_CONFIG_NAME = "default"
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                _DOCUMENT: datasets.Value("string"),
-                _SUMMARY: datasets.Value("string"),
-                "title": datasets.Value("string"),
-                "date": datasets.Value("string"),
-                "url": datasets.Value("string")
-            }
-        )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            supervised_keys=(_DOCUMENT, _SUMMARY),
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        downloaded_files = dl_manager.download_and_extract(_URLS)
-        return [
-            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):
-        with open(filepath, encoding="utf-8") as f:
-            for id_, row in enumerate(f):
-                data = json.loads(row)
-                yield id_, data