Update files from the datasets library (from 1.2.0)

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

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README.md

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+---
+annotations_creators:
+- no-annotation
+language_creators:
+- found
+languages:
+- en
+- hr
+licenses:
+- cc-by-sa-3-0
+multilinguality:
+- translation
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- conditional-text-generation
+task_ids:
+- machine-translation
+---
+
+# Dataset Card for hrenwac_para
+
+## 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:** http://nlp.ffzg.hr/resources/corpora/hrenwac/
+- **Repository:** http://nlp.ffzg.hr/data/corpora/hrenwac/hrenwac.en-hr.txt.gz
+- **Paper:** http://workshop2013.iwslt.org/downloads/IWSLT-2013-Cettolo.pdf
+- **Leaderboard:**
+- **Point of Contact:** [Nikola Ljubešič](mailto:nikola.ljubesic@ffzg.hr)
+
+### Dataset Summary
+
+The hrenWaC corpus version 2.0 consists of parallel Croatian-English texts crawled from the .hr top-level domain for Croatia. The corpus was built with Spidextor (https://github.com/abumatran/spidextor), a tool that glues together the output of SpiderLing used for crawling and Bitextor used for bitext extraction. The accuracy of the extracted bitext on the segment level is around 80% and on the word level around 84%.
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+Dataset is bilingual with Croatian and English languages.
+
+## Dataset Structure
+
+### Data Instances
+
+[More Information Needed]
+
+### Data Fields
+
+[More Information Needed]
+
+### 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
+
+Dataset is under the [CC-BY-SA 3.0](http://creativecommons.org/licenses/by-sa/3.0/) license.
+
+### Citation Information
+
+```
+  @misc{11356/1058,
+ title = {Croatian-English parallel corpus {hrenWaC} 2.0},
+ author = {Ljube{\v s}i{\'c}, Nikola and Espl{\`a}-Gomis, Miquel and Ortiz Rojas, Sergio and Klubi{\v c}ka, Filip and Toral, Antonio},
+ url = {http://hdl.handle.net/11356/1058},
+ note = {Slovenian language resource repository {CLARIN}.{SI}},
+ copyright = {{CLARIN}.{SI} User Licence for Internet Corpora},
+ year = {2016} }
+```

dataset_infos.json

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+{"hrenWaC": {"description": "The hrenWaC corpus version 2.0 consists of parallel Croatian-English texts crawled from the .hr top-level domain for Croatia. The corpus was built with Spidextor (https://github.com/abumatran/spidextor), a tool that glues together the output of SpiderLing used for crawling and Bitextor used for bitext extraction. The accuracy of the extracted bitext on the segment level is around 80% and on the word level around 84%.\n", "citation": "\n  @misc{11356/1058,\n title = {Croatian-English parallel corpus {hrenWaC} 2.0},\n author = {Ljube{\u000b s}i{'c}, Nikola and Espl{'a}-Gomis, Miquel and Ortiz Rojas, Sergio and Klubi{\u000b c}ka, Filip and Toral, Antonio},\n url = {http://hdl.handle.net/11356/1058},\n note = {Slovenian language resource repository {CLARIN}.{SI}},\n copyright = {{CLARIN}.{SI} User Licence for Internet Corpora},\n year = {2016} }\n", "homepage": "http://nlp.ffzg.hr/resources/corpora/hrenwac/", "license": "CC BY-SA 3.0", "features": {"translation": {"languages": ["en", "hr"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": {"input": "en", "output": "hr"}, "builder_name": "hrenwac_para", "config_name": "hrenWaC", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 29602110, "num_examples": 99001, "dataset_name": "hrenwac_para"}}, "download_checksums": {"http://nlp.ffzg.hr/data/corpora/hrenwac/hrenwac.en-hr.txt.gz": {"num_bytes": 11640281, "checksum": "c5d31cbc87a1651e522e700793936ef68f9555b4f5a10e19d6f167f410dd738e"}}, "download_size": 11640281, "post_processing_size": null, "dataset_size": 29602110, "size_in_bytes": 41242391}}

dummy/hrenWaC/1.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a73071609fc03e5bca1dbea9fa916ba441800dad52c476f42c3b335a4ba57a9d
+size 600

hrenwac_para.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.
+"""Croatian-English parallel corpus hrenWaC"""
+
+import datasets
+
+
+_CITATION = """
+  @misc{11356/1058,
+ title = {Croatian-English parallel corpus {hrenWaC} 2.0},
+ author = {Ljube{\v s}i{\'c}, Nikola and Espl{\'a}-Gomis, Miquel and Ortiz Rojas, Sergio and Klubi{\v c}ka, Filip and Toral, Antonio},
+ url = {http://hdl.handle.net/11356/1058},
+ note = {Slovenian language resource repository {CLARIN}.{SI}},
+ copyright = {{CLARIN}.{SI} User Licence for Internet Corpora},
+ year = {2016} }
+"""
+
+_DESCRIPTION = """
+The hrenWaC corpus version 2.0 consists of parallel Croatian-English texts crawled from the .hr top-level domain for Croatia.
+The corpus was built with Spidextor (https://github.com/abumatran/spidextor), a tool that glues together the output of SpiderLing used for crawling and Bitextor used for bitext extraction. The accuracy of the extracted bitext on the segment level is around 80% and on the word level around 84%.
+"""
+
+_LICENSE = "CC BY-SA 3.0"
+
+_HOMEPAGE = "http://nlp.ffzg.hr/resources/corpora/hrenwac/"
+_URLS = "http://nlp.ffzg.hr/data/corpora/hrenwac/hrenwac.en-hr.txt.gz"
+
+
+class HrenwacPara(datasets.GeneratorBasedBuilder):
+    """Croatian-English parallel corpus hrenWaC"""
+
+    VERSION = datasets.Version("1.0.0")
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="hrenWaC",
+            version=VERSION,
+            description="The hrenWaC dataset.",
+        ),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features({"translation": datasets.features.Translation(languages=("en", "hr"))}),
+            supervised_keys=("en", "hr"),
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        downloaded_file = dl_manager.download_and_extract({"train": _URLS})
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": downloaded_file["train"],
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        with open(filepath, encoding="utf8") as f:
+            en = ""
+            hr = ""
+            i = -1
+            for id_, row in enumerate(f):
+                if id_ % 3 == 0:
+                    en = row.strip()
+                if id_ % 3 == 1:
+                    hr = row.strip()
+                if id_ % 3 == 2:
+                    i = i + 1
+                    yield i, {
+                        "translation": {
+                            "en": en,
+                            "hr": hr,
+                        }
+                    }