Datasets:
Commit
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Parent(s):
Update files from the datasets library (from 1.2.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.2.0
- .gitattributes +27 -0
- README.md +146 -0
- dataset_infos.json +1 -0
- dummy/hrenWaC/1.0.0/dummy_data.zip +3 -0
- hrenwac_para.py +91 -0
.gitattributes
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README.md
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---
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annotations_creators:
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- no-annotation
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language_creators:
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- found
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languages:
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- en
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- hr
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licenses:
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- cc-by-sa-3-0
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multilinguality:
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- translation
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size_categories:
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- 10K<n<100K
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source_datasets:
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- original
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task_categories:
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- conditional-text-generation
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task_ids:
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- machine-translation
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---
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# Dataset Card for hrenwac_para
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-instances)
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- [Data Splits](#data-instances)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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## Dataset Description
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- **Homepage:** http://nlp.ffzg.hr/resources/corpora/hrenwac/
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- **Repository:** http://nlp.ffzg.hr/data/corpora/hrenwac/hrenwac.en-hr.txt.gz
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- **Paper:** http://workshop2013.iwslt.org/downloads/IWSLT-2013-Cettolo.pdf
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- **Leaderboard:**
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- **Point of Contact:** [Nikola Ljubešič](mailto:[email protected])
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### Dataset Summary
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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%.
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### Supported Tasks and Leaderboards
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[More Information Needed]
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### Languages
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Dataset is bilingual with Croatian and English languages.
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## Dataset Structure
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### Data Instances
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[More Information Needed]
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### Data Fields
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[More Information Needed]
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### Data Splits
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[More Information Needed]
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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### Dataset Curators
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[More Information Needed]
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### Licensing Information
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Dataset is under the [CC-BY-SA 3.0](http://creativecommons.org/licenses/by-sa/3.0/) license.
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### Citation Information
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```
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@misc{11356/1058,
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title = {Croatian-English parallel corpus {hrenWaC} 2.0},
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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},
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url = {http://hdl.handle.net/11356/1058},
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note = {Slovenian language resource repository {CLARIN}.{SI}},
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copyright = {{CLARIN}.{SI} User Licence for Internet Corpora},
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year = {2016} }
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```
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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}}
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dummy/hrenWaC/1.0.0/dummy_data.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:a73071609fc03e5bca1dbea9fa916ba441800dad52c476f42c3b335a4ba57a9d
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size 600
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hrenwac_para.py
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# coding=utf-8
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# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Croatian-English parallel corpus hrenWaC"""
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import datasets
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_CITATION = """
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@misc{11356/1058,
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title = {Croatian-English parallel corpus {hrenWaC} 2.0},
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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},
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url = {http://hdl.handle.net/11356/1058},
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note = {Slovenian language resource repository {CLARIN}.{SI}},
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copyright = {{CLARIN}.{SI} User Licence for Internet Corpora},
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year = {2016} }
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"""
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_DESCRIPTION = """
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The hrenWaC corpus version 2.0 consists of parallel Croatian-English texts crawled from the .hr top-level domain for Croatia.
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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%.
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"""
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_LICENSE = "CC BY-SA 3.0"
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_HOMEPAGE = "http://nlp.ffzg.hr/resources/corpora/hrenwac/"
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_URLS = "http://nlp.ffzg.hr/data/corpora/hrenwac/hrenwac.en-hr.txt.gz"
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class HrenwacPara(datasets.GeneratorBasedBuilder):
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"""Croatian-English parallel corpus hrenWaC"""
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VERSION = datasets.Version("1.0.0")
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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| 47 |
+
name="hrenWaC",
|
| 48 |
+
version=VERSION,
|
| 49 |
+
description="The hrenWaC dataset.",
|
| 50 |
+
),
|
| 51 |
+
]
|
| 52 |
+
|
| 53 |
+
def _info(self):
|
| 54 |
+
return datasets.DatasetInfo(
|
| 55 |
+
description=_DESCRIPTION,
|
| 56 |
+
features=datasets.Features({"translation": datasets.features.Translation(languages=("en", "hr"))}),
|
| 57 |
+
supervised_keys=("en", "hr"),
|
| 58 |
+
homepage=_HOMEPAGE,
|
| 59 |
+
license=_LICENSE,
|
| 60 |
+
citation=_CITATION,
|
| 61 |
+
)
|
| 62 |
+
|
| 63 |
+
def _split_generators(self, dl_manager):
|
| 64 |
+
downloaded_file = dl_manager.download_and_extract({"train": _URLS})
|
| 65 |
+
return [
|
| 66 |
+
datasets.SplitGenerator(
|
| 67 |
+
name=datasets.Split.TRAIN,
|
| 68 |
+
gen_kwargs={
|
| 69 |
+
"filepath": downloaded_file["train"],
|
| 70 |
+
},
|
| 71 |
+
),
|
| 72 |
+
]
|
| 73 |
+
|
| 74 |
+
def _generate_examples(self, filepath):
|
| 75 |
+
with open(filepath, encoding="utf8") as f:
|
| 76 |
+
en = ""
|
| 77 |
+
hr = ""
|
| 78 |
+
i = -1
|
| 79 |
+
for id_, row in enumerate(f):
|
| 80 |
+
if id_ % 3 == 0:
|
| 81 |
+
en = row.strip()
|
| 82 |
+
if id_ % 3 == 1:
|
| 83 |
+
hr = row.strip()
|
| 84 |
+
if id_ % 3 == 2:
|
| 85 |
+
i = i + 1
|
| 86 |
+
yield i, {
|
| 87 |
+
"translation": {
|
| 88 |
+
"en": en,
|
| 89 |
+
"hr": hr,
|
| 90 |
+
}
|
| 91 |
+
}
|