Datasets:

SEACrowd
/

ph_fake_news_corpus

Name: ph_fake_news_corpus
Creator: SEACrowd
License: https://choosealicense.com/licenses/unknown/

Languages:

English

ArXiv:

Tags:

fact-checking

License:

Dataset card Files Files and versions Community

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The dataset viewer is not available for this dataset.

Cannot get the config names for the dataset.

Error code:   ConfigNamesError
Exception:    ImportError
Message:      To be able to use SEACrowd/ph_fake_news_corpus, you need to install the following dependency: seacrowd.
Please install it using 'pip install seacrowd' for instance.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1914, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1880, in dataset_module_factory
                  return HubDatasetModuleFactoryWithScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1504, in get_module
                  local_imports = _download_additional_modules(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 354, in _download_additional_modules
                  raise ImportError(
              ImportError: To be able to use SEACrowd/ph_fake_news_corpus, you need to install the following dependency: seacrowd.
              Please install it using 'pip install seacrowd' for instance.

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YAML Metadata Warning: The task_categories "fact-checking" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, other

The Philippine Fake News Corpus consists of news headlines and content from various "credible" and "non-credible" national news outlets. "Credible" sources were national broadsheets available in the National Library of the Philippines, while "non-credible" sources were sources included in lists of websites with fake or unverified content provided by government and private institutions.

Languages

eng

Supported Tasks

Fact Checking

Dataset Usage

Using `datasets` library

from datasets import load_dataset
dset = datasets.load_dataset("SEACrowd/ph_fake_news_corpus", trust_remote_code=True)

Using `seacrowd` library

# Load the dataset using the default config
dset = sc.load_dataset("ph_fake_news_corpus", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("ph_fake_news_corpus"))
# Load the dataset using a specific config
dset = sc.load_dataset_by_config_name(config_name="<config_name>")

More details on how to load the seacrowd library can be found here.

Dataset Homepage

https://github.com/aaroncarlfernandez/Philippine-Fake-News-Corpus

Dataset Version

Source: 1.0.0. SEACrowd: 2024.06.20.

Dataset License

Unknown (unknown)

Citation

If you are using the Ph Fake News Corpus dataloader in your work, please cite the following:


@inproceedings{hernandez-devaraj-2019-phfakenews,
  author    = {Fernandez, Aaron Carl T. and Devaraj, Madhavi},
  title     = {Computing the Linguistic-Based Cues of Fake News in the Philippines Towards its Detection},
  booktitle = {Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics},
  publisher = {Association for Computing Machinery},
  year      = {2019},
  url       = {https://dl.acm.org/doi/abs/10.1145/3326467.3326490},
  doi       = {10.1145/3326467.3326490},
  pages     = {1-9},
}


@article{lovenia2024seacrowd,
    title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages}, 
    author={Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar and Lester James V. Miranda and Jennifer Santoso and Elyanah Aco and Akhdan Fadhilah and Jonibek Mansurov and Joseph Marvin Imperial and Onno P. Kampman and Joel Ruben Antony Moniz and Muhammad Ravi Shulthan Habibi and Frederikus Hudi and Railey Montalan and Ryan Ignatius and Joanito Agili Lopo and William Nixon and Börje F. Karlsson and James Jaya and Ryandito Diandaru and Yuze Gao and Patrick Amadeus and Bin Wang and Jan Christian Blaise Cruz and Chenxi Whitehouse and Ivan Halim Parmonangan and Maria Khelli and Wenyu Zhang and Lucky Susanto and Reynard Adha Ryanda and Sonny Lazuardi Hermawan and Dan John Velasco and Muhammad Dehan Al Kautsar and Willy Fitra Hendria and Yasmin Moslem and Noah Flynn and Muhammad Farid Adilazuarda and Haochen Li and Johanes Lee and R. Damanhuri and Shuo Sun and Muhammad Reza Qorib and Amirbek Djanibekov and Wei Qi Leong and Quyet V. Do and Niklas Muennighoff and Tanrada Pansuwan and Ilham Firdausi Putra and Yan Xu and Ngee Chia Tai and Ayu Purwarianti and Sebastian Ruder and William Tjhi and Peerat Limkonchotiwat and Alham Fikri Aji and Sedrick Keh and Genta Indra Winata and Ruochen Zhang and Fajri Koto and Zheng-Xin Yong and Samuel Cahyawijaya},
    year={2024},
    eprint={2406.10118},
    journal={arXiv preprint arXiv: 2406.10118}
}