Convert dataset to Parquet (#2)

- Convert dataset to Parquet (f5f3944189cf55b94575db9a03a249b6afab9485)
- Delete loading script (1ea98f4ae60f9e2506c251553f69e64ed6caa636)

README.md

@@ -17,9 +17,9 @@ source_datasets:
 task_categories:
 - translation
 task_ids: []
-paperswithcode_id: null
 pretty_name: HrenwacPara
 dataset_info:
+  config_name: hrenWaC
   features:
   - name: translation
     dtype:
@@ -27,13 +27,18 @@ dataset_info:
         languages:
         - en
         - hr
-  config_name: hrenWaC
   splits:
   - name: train
-    num_bytes: 29602110
+    num_bytes: 29602030
     num_examples: 99001
-  download_size: 11640281
-  dataset_size: 29602110
+  download_size: 19255300
+  dataset_size: 29602030
+configs:
+- config_name: hrenWaC
+  data_files:
+  - split: train
+    path: hrenWaC/train-*
+  default: true
 ---
 
 # Dataset Card for hrenwac_para

hrenWaC/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:adba795bfffdf805f3a0e4c619440442b0cdc95654d967edc86c4f8ead49f675
+size 19255300

hrenwac_para.py

@@ -1,91 +0,0 @@
-# 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,
-                        }
-                    }