Update files from the datasets library (from 1.2.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

.gitattributes

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README.md

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+---
+annotations_creators:
+  - expert-generated
+language_creators:
+  - other
+languages:
+  - ko
+licenses:
+  - mit
+multilinguality:
+  - monolingual
+size_categories:
+  - 1K<n<10K
+source_datasets:
+  - original
+task_categories:
+  - text-classification
+task_ids:
+  - semantic-similarity-classification
+---
+
+# Dataset Card for [Dataset Name]
+
+## Table of Contents
+
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [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)
+
+## Dataset Description
+
+- **Homepage:** [Github](https://github.com/songys/Question_pair)
+- **Repository:** [Github](https://github.com/songys/Question_pair)
+- **Paper:**
+- **Leaderboard:**
+- **Point of Contact:**
+
+### Dataset Summary
+
+[More Information Needed]
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+[More Information Needed]
+
+## Dataset Structure
+
+### Data Instances
+
+[More Information Needed]
+
+### Data Fields
+
+Each row in the dataset contains two questions and a `is_duplicate` label.
+
+- `question1`: The first question
+- `question2`: The second question
+- `is_duplicate`: 0 if `question1` and `question2` are semantically similar; 1 otherwise
+
+### Data Splits
+
+[More Information Needed]
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+[More Information Needed]

dataset_infos.json

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+{"default": {"description": "This is a Korean paired question dateset containing labels that denote whether two questions in a given pair are semantically identical.\n", "citation": "@misc{Song:2018,\n  title     = \"Paired Question v.2\",\n  authors   = \"Youngsook Song\",\n  publisher = \"GitHub\",\n  year      = \"2018\"\n}\n", "homepage": "https://github.com/songys/Question_pair", "license": "The MIT License (MIT)", "features": {"question1": {"dtype": "string", "id": null, "_type": "Value"}, "question2": {"dtype": "string", "id": null, "_type": "Value"}, "is_duplicate": {"num_classes": 2, "names": ["0", "1"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "kor_qpair", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 515365, "num_examples": 6136, "dataset_name": "kor_qpair"}, "test": {"name": "test", "num_bytes": 63466, "num_examples": 758, "dataset_name": "kor_qpair"}, "validation": {"name": "validation", "num_bytes": 57242, "num_examples": 682, "dataset_name": "kor_qpair"}}, "download_checksums": {"https://raw.githubusercontent.com/songys/Question_pair/master/train.txt": {"num_bytes": 441758, "checksum": "addf4c88b19066ad55a09f466c5c3f6428b3f2bd5d55100d3ca5b93d9d8daff9"}, "https://raw.githubusercontent.com/songys/Question_pair/master/test.txt": {"num_bytes": 54395, "checksum": "0d5738107ea3742de4dcaf3a358b6bfa4818781bc6aec11a9956a3fbe35f8b61"}, "https://raw.githubusercontent.com/songys/Question_pair/master/validation.txt": {"num_bytes": 49083, "checksum": "3928c783f561f36547fd8e0c9d78a6e1d6013db3debcf559c4135aa5536badea"}}, "download_size": 545236, "post_processing_size": null, "dataset_size": 636073, "size_in_bytes": 1181309}}

dummy/1.1.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:326445d40a99645f820cbf475afcadc08623a823caf8f2aac121125d3005b053
+size 1131

kor_qpair.py

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+# 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.
+"""Korean pairwise question binary classification dataset"""
+
+from __future__ import absolute_import, division, print_function
+
+import datasets
+
+
+_CITATION = """\
+@misc{Song:2018,
+  title     = "Paired Question v.2",
+  authors   = "Youngsook Song",
+  publisher = "GitHub",
+  year      = "2018"
+}
+"""
+
+
+_DESCRIPTION = """\
+This is a Korean paired question dataset containing labels indicating whether two questions in a given pair are semantically identical. This dataset was used to evaluate the performance of [KoGPT2](https://github.com/SKT-AI/KoGPT2#subtask-evaluations) on a phrase detection downstream task.
+"""
+
+
+_HOMEPAGE = "https://github.com/songys/Question_pair"
+
+_LICENSE = "The MIT License (MIT)"
+
+_URL = "https://raw.githubusercontent.com/songys/Question_pair/master/"
+_URLs = {key: f"{_URL}{key}.txt" for key in ("train", "test", "validation")}
+
+
+class KorQpair(datasets.GeneratorBasedBuilder):
+    """Korean pairwise question classification dataset"""
+
+    VERSION = datasets.Version("1.1.0")
+
+    def _info(self):
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "question1": datasets.Value("string"),
+                    "question2": datasets.Value("string"),
+                    "is_duplicate": datasets.ClassLabel(names=["0", "1"]),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            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"],
+                    "split": "train",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": downloaded_files["test"],
+                    "split": "test",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": downloaded_files["validation"],
+                    "split": "validation",
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath, split):
+        with open(filepath, encoding="utf-8") as f:
+            next(f)
+            for id_, row in enumerate(f):
+                row = row.strip().split("\t")
+                yield id_, {
+                    "question1": row[0],
+                    "question2": row[1],
+                    "is_duplicate": row[2],
+                }