Datasets:
Tasks:
Text Classification
Languages:
Portuguese
Size:
1K<n<10K
Tags:
hate-speech-detection
License:
Commit
·
cb72bef
0
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 +137 -0
- dataset_infos.json +1 -0
- dummy/offcombr-2/1.0.0/dummy_data.zip +3 -0
- dummy/offcombr-3/1.0.0/dummy_data.zip +3 -0
- offcombr.py +105 -0
.gitattributes
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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annotations_creators:
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- expert-generated
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language_creators:
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- found
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languages:
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- pt
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licenses:
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- unknown
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multilinguality:
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- monolingual
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size_categories:
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- n<1K
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source_datasets:
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- original
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task_categories:
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- text-classification
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task_ids:
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- text-classification-other-hate-speech-detection
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---
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# Dataset Card for [Dataset Name]
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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://www.inf.ufrgs.br/~rppelle/hatedetector/
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- **Repository:** https://github.com/rogersdepelle/OffComBR
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- **Paper:** https://sol.sbc.org.br/index.php/brasnam/article/view/3260/3222
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- **Leaderboard:**
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- **Point of Contact:**
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### Dataset Summary
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OffComBR: an annotated dataset containing for hate speech detection in Portuguese composed of news comments on the Brazilian Web.
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### Supported Tasks and Leaderboards
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[More Information Needed]
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### Languages
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[More Information Needed]
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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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[More Information Needed]
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### Citation Information
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[More Information Needed]
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dataset_infos.json
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{"offcombr-2": {"description": "OffComBR: an annotated dataset containing for hate speech detection in Portuguese composed of news comments on the Brazilian Web.\n", "citation": "@article{Pelle2017,\ntitle={Offensive Comments in the Brazilian Web: a dataset and baseline results},\nauthor={Rogers P. de Pelle and Viviane P. Moreira},\nbooktitle={6th Brazilian Workshop on Social Network Analysis and Mining (BraSNAM)},\nyear={2017},\n}\n", "homepage": "http://www.inf.ufrgs.br/~rppelle/hatedetector/", "license": "Unknown", "features": {"label": {"num_classes": 2, "names": ["no", "yes"], "names_file": null, "id": null, "_type": "ClassLabel"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "label", "output": "text"}, "builder_name": "offcombr", "config_name": "offcombr-2", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 105703, "num_examples": 1250, "dataset_name": "offcombr"}}, "download_checksums": {"https://github.com/rogersdepelle/OffComBR/raw/master/OffComBR2.arff": {"num_bytes": 99956, "checksum": "2e699a42c91a117f62906bc6f01d661874098a1460eb95e4d069b2b73e155cb8"}}, "download_size": 99956, "post_processing_size": null, "dataset_size": 105703, "size_in_bytes": 205659}, "offcombr-3": {"description": "OffComBR: an annotated dataset containing for hate speech detection in Portuguese composed of news comments on the Brazilian Web.\n", "citation": "@article{Pelle2017,\ntitle={Offensive Comments in the Brazilian Web: a dataset and baseline results},\nauthor={Rogers P. de Pelle and Viviane P. Moreira},\nbooktitle={6th Brazilian Workshop on Social Network Analysis and Mining (BraSNAM)},\nyear={2017},\n}\n", "homepage": "http://www.inf.ufrgs.br/~rppelle/hatedetector/", "license": "Unknown", "features": {"label": {"num_classes": 2, "names": ["no", "yes"], "names_file": null, "id": null, "_type": "ClassLabel"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "label", "output": "text"}, "builder_name": "offcombr", "config_name": "offcombr-3", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 90094, "num_examples": 1033, "dataset_name": "offcombr"}}, "download_checksums": {"https://github.com/rogersdepelle/OffComBR/raw/master/OffComBR3.arff": {"num_bytes": 85215, "checksum": "a69597eca1ebbf1c438e4a8534361fa63e4e5bf9c5caca5b0ee9b7b7e8521a1d"}}, "download_size": 85215, "post_processing_size": null, "dataset_size": 90094, "size_in_bytes": 175309}}
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dummy/offcombr-2/1.0.0/dummy_data.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:5860a976714f6daee31447b9abb489f32d57663799a0e84f29e68c9ca263ce27
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size 498
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dummy/offcombr-3/1.0.0/dummy_data.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:22eaedf90ee13656f1678b233338e73c5301c0e7cad268175bcc1f6310d2fe90
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size 498
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offcombr.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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"""OffComBR: an annotated dataset containing for hate speech detection in Portuguese composed of news comments on the Brazilian Web."""
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from __future__ import absolute_import, division, print_function
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import datasets
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_CITATION = """\
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@article{Pelle2017,
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title={Offensive Comments in the Brazilian Web: a dataset and baseline results},
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author={Rogers P. de Pelle and Viviane P. Moreira},
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booktitle={6th Brazilian Workshop on Social Network Analysis and Mining (BraSNAM)},
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year={2017},
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}
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"""
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_DESCRIPTION = """\
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OffComBR: an annotated dataset containing for hate speech detection in Portuguese composed of news comments on the Brazilian Web.
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"""
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_HOMEPAGE = "http://www.inf.ufrgs.br/~rppelle/hatedetector/"
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_LICENSE = "Unknown"
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_URLs = {
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"offcombr-2": "https://github.com/rogersdepelle/OffComBR/raw/master/OffComBR2.arff",
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"offcombr-3": "https://github.com/rogersdepelle/OffComBR/raw/master/OffComBR3.arff",
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}
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class Offcombr(datasets.GeneratorBasedBuilder):
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"""OffComBR: an annotated dataset containing for hate speech detection in Portuguese composed of news comments on the Brazilian Web."""
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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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name="offcombr-2",
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version=VERSION,
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description="OffComBR-2 contains samples with Fleiss Kappa measure between annotators of 0.71",
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),
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datasets.BuilderConfig(
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name="offcombr-3",
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version=VERSION,
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description="OffComBR-3 only contains instances for which the class has been agreed by all three judges",
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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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{
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"label": datasets.ClassLabel(names=["no", "yes"]),
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"text": datasets.Value("string"),
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}
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),
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supervised_keys=("label", "text"),
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homepage=_HOMEPAGE,
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license=_LICENSE,
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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urls = _URLs[self.config.name]
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data_file = dl_manager.download_and_extract(urls)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"filepath": data_file,
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},
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),
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]
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def _generate_examples(self, filepath):
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""" Yields examples. """
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with open(filepath, encoding="utf-8") as f:
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for id_, row in enumerate(f):
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if id_ < 8:
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continue
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label, *text = row.split(",")
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text = "".join(text)
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yield id_, {
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"label": label,
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104 |
+
"text": text.strip().strip("'"),
|
105 |
+
}
|