Commit
·
29f0162
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 +140 -0
- dataset_infos.json +1 -0
- dummy/newsph/1.0.0/dummy_data.zip +3 -0
- newsph.py +78 -0
.gitattributes
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*.7z 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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- no-annotation
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language_creators:
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- found
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languages:
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- fil
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- tl
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licenses:
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- gpl-3-0
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multilinguality:
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- monolingual
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size_categories:
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- n>1M
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source_datasets:
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- original
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task_categories:
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- sequence-modeling
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task_ids:
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- language-modeling
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---
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# Dataset Card for NewsPH
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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:** [Filipino Text Benchmarks](https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks)
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- **Repository: **
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- **Paper:** [Investigating the True Performance of Transformers in Low-Resource Languages: A Case Study in Automatic Corpus Creation](https://arxiv.org/abs/2010.11574)
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- **Leaderboard:**
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- **Point of Contact:** Jan Christian Blaise Cruz (jan_christian_cruz@dlsu.edu.ph)
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### Dataset Summary
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Raw collection of news articles in Filipino. Used to produce the NewsPH-NLI dataset in Cruz et al. (2020)
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### Supported Tasks and Leaderboards
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[More Information Needed]
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### Languages
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Tagalog/Filipino
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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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- `text` (`str`)
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The dataset is in plaintext and only has one field ("text"). It can be used for language modeling.
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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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{"newsph": {"description": "Large-scale dataset of Filipino news articles. Sourced for the NewsPH-NLI Project (Cruz et al., 2020).\n", "citation": "@article{cruz2020investigating,\n title={Investigating the True Performance of Transformers in Low-Resource Languages: A Case Study in Automatic Corpus Creation},\n author={Jan Christian Blaise Cruz and Jose Kristian Resabal and James Lin and Dan John Velasco and Charibeth Cheng},\n journal={arXiv preprint arXiv:2010.11574},\n year={2020}\n}\n", "homepage": "https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks", "license": "GPL-3.0", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "newsph", "config_name": "newsph", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 298833914, "num_examples": 2190465, "dataset_name": "newsph"}}, "download_checksums": {"https://s3.us-east-2.amazonaws.com/blaisecruz.com/datasets/newsph/newsph.zip": {"num_bytes": 104086466, "checksum": "bb0134cbe023cca7ecead783d9b5dd855e077c23fdc19944d83954bfeb5a8cf3"}}, "download_size": 104086466, "post_processing_size": null, "dataset_size": 298833914, "size_in_bytes": 402920380}}
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dummy/newsph/1.0.0/dummy_data.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:5232d4a0ebbb2c3d2faf4e2d7b372eb8499266e95554631acd34cf537e74e54f
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size 899
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newsph.py
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from __future__ import absolute_import, division, print_function
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import os
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import datasets
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_CITATION = """\
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@article{cruz2020investigating,
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title={Investigating the True Performance of Transformers in Low-Resource Languages: A Case Study in Automatic Corpus Creation},
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author={Jan Christian Blaise Cruz and Jose Kristian Resabal and James Lin and Dan John Velasco and Charibeth Cheng},
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journal={arXiv preprint arXiv:2010.11574},
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year={2020}
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}
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"""
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_DESCRIPTION = """\
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Large-scale dataset of Filipino news articles. Sourced for the NewsPH-NLI Project (Cruz et al., 2020).
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"""
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_URL = "https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks"
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_LICENSE = "GPL-3.0"
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_DATA_URL = "https://s3.us-east-2.amazonaws.com/blaisecruz.com/datasets/newsph"
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class NewsphConfig(datasets.BuilderConfig):
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def __init__(self, data_url, **kwargs):
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super(NewsphConfig, self).__init__(
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version=datasets.Version(
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"1.0.0",
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),
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**kwargs,
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)
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self.data_url = data_url
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class Newsph(datasets.GeneratorBasedBuilder):
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VERSION = datasets.Version("1.0.0")
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BUILDER_CONFIGS = [
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NewsphConfig(
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name="newsph",
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data_url=_DATA_URL + "/" + "newsph.zip",
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description=_DESCRIPTION,
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),
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]
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BUILDER_CONFIG_CLASS = NewsphConfig
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def _info(self):
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return datasets.DatasetInfo(
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# This is the description that will appear on the datasets page.
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description=_DESCRIPTION,
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features=datasets.Features({"text": datasets.Value("string")}),
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supervised_keys=None,
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# Homepage of the dataset for documentation
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homepage=_URL,
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citation=_CITATION,
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license=_LICENSE,
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)
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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data_file = dl_manager.download_and_extract(self.config.data_url)
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data_dir = os.path.join(data_file, "newsph")
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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={"data_file": os.path.join(data_dir, "train.txt"), "split": "train"},
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),
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]
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def _generate_examples(self, data_file, split):
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"""Yields examples."""
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with open(data_file, encoding="utf-8") as f:
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for idx, row in enumerate(f):
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if row.strip():
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yield idx, {"text": row}
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else:
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yield idx, {"text": ""}
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