albertvillanova HF staff commited on
Commit
cb7fa03
1 Parent(s): 3f756ab

Convert dataset to Parquet (#4)

Browse files

- Convert dataset to Parquet (c671344ae6d7bb6a45d5745a503e4a5baebc4be8)
- Delete loading script (bdd45d206343823a016721e750044ce246b171ef)

README.md CHANGED
@@ -24,6 +24,7 @@ task_ids:
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  paperswithcode_id: dbrd
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  pretty_name: DBRD
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  dataset_info:
 
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  features:
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  - name: text
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  dtype: string
@@ -33,19 +34,28 @@ dataset_info:
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  names:
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  '0': neg
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  '1': pos
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- config_name: plain_text
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  splits:
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  - name: train
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- num_bytes: 29496333
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  num_examples: 20028
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  - name: test
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- num_bytes: 3246243
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  num_examples: 2224
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  - name: unsupervised
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- num_bytes: 152733031
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  num_examples: 96264
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- download_size: 79065872
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- dataset_size: 185475607
 
 
 
 
 
 
 
 
 
 
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  ---
50
 
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  # Dataset Card for DBRD
 
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  paperswithcode_id: dbrd
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  pretty_name: DBRD
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  dataset_info:
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+ config_name: plain_text
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  features:
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  - name: text
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  dtype: string
 
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  names:
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  '0': neg
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  '1': pos
 
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  splits:
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  - name: train
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+ num_bytes: 29496321
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  num_examples: 20028
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  - name: test
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+ num_bytes: 3246239
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  num_examples: 2224
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  - name: unsupervised
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+ num_bytes: 152732991
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  num_examples: 96264
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+ download_size: 116489037
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+ dataset_size: 185475551
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+ configs:
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+ - config_name: plain_text
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+ data_files:
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+ - split: train
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+ path: plain_text/train-*
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+ - split: test
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+ path: plain_text/test-*
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+ - split: unsupervised
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+ path: plain_text/unsupervised-*
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+ default: true
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  ---
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  # Dataset Card for DBRD
dbrd.py DELETED
@@ -1,112 +0,0 @@
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- # coding=utf-8
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- # Copyright 2020 The TensorFlow Datasets Authors and the 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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-
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- # Lint as: python3
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- """Dutch Book Review Dataset"""
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-
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-
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- import datasets
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- from datasets.tasks import TextClassification
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-
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-
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- _DESCRIPTION = """\
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- The Dutch Book Review Dataset (DBRD) contains over 110k book reviews of which \
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- 22k have associated binary sentiment polarity labels. It is intended as a \
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- benchmark for sentiment classification in Dutch and created due to a lack of \
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- annotated datasets in Dutch that are suitable for this task.
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- """
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-
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- _CITATION = """\
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- @article{DBLP:journals/corr/abs-1910-00896,
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- author = {Benjamin van der Burgh and
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- Suzan Verberne},
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- title = {The merits of Universal Language Model Fine-tuning for Small Datasets
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- - a case with Dutch book reviews},
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- journal = {CoRR},
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- volume = {abs/1910.00896},
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- year = {2019},
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- url = {http://arxiv.org/abs/1910.00896},
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- archivePrefix = {arXiv},
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- eprint = {1910.00896},
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- timestamp = {Fri, 04 Oct 2019 12:28:06 +0200},
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- biburl = {https://dblp.org/rec/journals/corr/abs-1910-00896.bib},
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- bibsource = {dblp computer science bibliography, https://dblp.org}
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- }
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- """
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-
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- _DOWNLOAD_URL = "https://github.com/benjaminvdb/DBRD/releases/download/v3.0/DBRD_v3.tgz"
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-
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-
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- class DBRDConfig(datasets.BuilderConfig):
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- """BuilderConfig for DBRD."""
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-
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- def __init__(self, **kwargs):
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- """BuilderConfig for DBRD.
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-
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- Args:
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- **kwargs: keyword arguments forwarded to super.
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- """
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- super(DBRDConfig, self).__init__(version=datasets.Version("3.0.0", ""), **kwargs)
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-
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-
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- class DBRD(datasets.GeneratorBasedBuilder):
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- """Dutch Book Review Dataset."""
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-
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- BUILDER_CONFIGS = [
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- DBRDConfig(
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- name="plain_text",
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- description="Plain text",
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- )
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- ]
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-
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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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- {"text": datasets.Value("string"), "label": datasets.features.ClassLabel(names=["neg", "pos"])}
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- ),
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- supervised_keys=None,
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- homepage="https://github.com/benjaminvdb/DBRD",
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- citation=_CITATION,
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- task_templates=[TextClassification(text_column="text", label_column="label")],
84
- )
85
-
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- def _split_generators(self, dl_manager):
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- archive = dl_manager.download(_DOWNLOAD_URL)
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- return [
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- datasets.SplitGenerator(
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- name=datasets.Split.TRAIN, gen_kwargs={"files": dl_manager.iter_archive(archive), "split": "train"}
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- ),
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- datasets.SplitGenerator(
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- name=datasets.Split.TEST, gen_kwargs={"files": dl_manager.iter_archive(archive), "split": "test"}
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- ),
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- datasets.SplitGenerator(
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- name=datasets.Split("unsupervised"),
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- gen_kwargs={"files": dl_manager.iter_archive(archive), "split": "unsup", "labeled": False},
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- ),
99
- ]
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-
101
- def _generate_examples(self, files, split, labeled=True):
102
- """Generate DBRD examples."""
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- # For labeled examples, extract the label from the path.
104
- if labeled:
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- for path, f in files:
106
- if path.startswith(f"DBRD/{split}"):
107
- label = {"pos": 1, "neg": 0}[path.split("/")[2]]
108
- yield path, {"text": f.read().decode("utf-8"), "label": label}
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- else:
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- for path, f in files:
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- if path.startswith(f"DBRD/{split}"):
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- yield path, {"text": f.read().decode("utf-8"), "label": -1}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ size 2057593
plain_text/train-00000-of-00001.parquet ADDED
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+ oid sha256:61d360f0db2475f5e03070377347d41350579a8034fc6fda9d1999cacb9e313f
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+ size 18558956
plain_text/unsupervised-00000-of-00001.parquet ADDED
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