Commit
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1a5d5ee
1
Parent(s):
6b177ce
Convert dataset to Parquet (#2)
Browse files- Convert dataset to Parquet (cc356cd779eea591c1730fdf9e9d1d52d3b639c8)
- Delete loading script (5bac74b3090904c4abb8d0f6f00f82eb1b4519f4)
- README.md +8 -4
- data/train-00000-of-00002.parquet +3 -0
- data/train-00001-of-00002.parquet +3 -0
- hebrew_this_world.py +0 -97
README.md
CHANGED
@@ -19,7 +19,6 @@ task_categories:
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task_ids:
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- language-modeling
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- masked-language-modeling
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paperswithcode_id: null
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pretty_name: HebrewSentiment
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dataset_info:
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features:
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@@ -47,10 +46,15 @@ dataset_info:
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dtype: string
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splits:
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- name: train
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-
num_bytes:
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num_examples: 2028
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download_size:
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dataset_size:
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---
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# Dataset Card for HebrewSentiment
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task_ids:
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- language-modeling
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- masked-language-modeling
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pretty_name: HebrewSentiment
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dataset_info:
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features:
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dtype: string
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splits:
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- name: train
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+
num_bytes: 678389399
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num_examples: 2028
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+
download_size: 377354225
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dataset_size: 678389399
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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# Dataset Card for HebrewSentiment
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data/train-00000-of-00002.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:794073638c9336fa5d2fc3836e274bc5147a57261302db7d3d4308e6cd712a32
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size 128569788
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data/train-00001-of-00002.parquet
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:29746a10f324e2d8902e38b9a61389d5012a4e0ff1fa65ee7ece70636c324e78
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size 248784437
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hebrew_this_world.py
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# coding=utf-8
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# Copyright 2020 HuggingFace Datasets Authors.
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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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# Lint as: python3
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"""HebrewThisWorld: A corpus from https://thisworld.online/."""
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import csv
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import ctypes
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import datasets
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_DESCRIPTION = """\
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HebrewThisWorld is a data set consists of 2028 issues of the newspaper 'This World' edited by Uri Avnery and were published between 1950 and 1989. Released under the AGPLv3 license."""
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csv.field_size_limit(int(ctypes.c_ulong(-1).value // 2))
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_TRAIN_DOWNLOAD_URLS = [
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"https://github.com/imvladikon/datasets_additional/raw/master/data/thisworld1/metadata_0.csv",
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"https://github.com/imvladikon/datasets_additional/raw/master/data/thisworld1/metadata_1.csv",
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"https://github.com/imvladikon/datasets_additional/raw/master/data/thisworld1/metadata_2.csv",
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"https://github.com/imvladikon/datasets_additional/raw/master/data/thisworld1/metadata_3.csv",
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"https://github.com/imvladikon/datasets_additional/raw/master/data/thisworld1/metadata_4.csv",
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"https://github.com/imvladikon/datasets_additional/raw/master/data/thisworld1/metadata_5.csv",
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"https://github.com/imvladikon/datasets_additional/raw/master/data/thisworld1/metadata_6.csv",
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"https://github.com/imvladikon/datasets_additional/raw/master/data/thisworld1/metadata_7.csv",
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"https://github.com/imvladikon/datasets_additional/raw/master/data/thisworld1/metadata_8.csv",
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"https://github.com/imvladikon/datasets_additional/raw/master/data/thisworld1/metadata_9.csv",
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]
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class HebrewThisWorld(datasets.GeneratorBasedBuilder):
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"""HebrewThisWorld: Corpus from the newspaper ThisWorld"""
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VERSION = datasets.Version("0.1.0")
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"issue_num": datasets.Value("int64"),
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"page_count": datasets.Value("int64"),
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"date": datasets.Value("string"),
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"date_he": datasets.Value("string"),
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"year": datasets.Value("string"),
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"href": datasets.Value("string"),
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"pdf": datasets.Value("string"),
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"coverpage": datasets.Value("string"),
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"backpage": datasets.Value("string"),
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"content": datasets.Value("string"),
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"url": datasets.Value("string"),
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}
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),
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homepage="https://github.com/thisworld1/thisworld.online/",
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)
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def _split_generators(self, dl_manager):
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train_path = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URLS)
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}),
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]
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def _generate_examples(self, filepath):
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"""Generate Hebrew ThisWorld examples."""
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for file in filepath:
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with open(file, encoding="utf-8") as csv_file:
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csv_reader = csv.DictReader(csv_file)
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for data in csv_reader:
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id_ = data["issue_num"]
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yield id_, {
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"issue_num": data["issue_num"],
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"page_count": data["page_count"],
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"date": data["date"],
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"date_he": data["date_he"],
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"year": data["year"],
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"href": data["href"],
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"pdf": data["pdf"],
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"coverpage": data["coverpage"],
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"backpage": data["backpage"],
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"content": data["content"],
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"url": data["url"],
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}
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