Datasets:

ArXiv:
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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/unimorph, 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/unimorph, you need to install the following dependency: seacrowd.
              Please install it using 'pip install seacrowd' for instance.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

YAML Metadata Warning: The task_categories "morphological-inflection" 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 Universal Morphology (UniMorph) project is a collaborative effort providing broad-coverage instantiated normalized morphological inflection tables for undreds of diverse world languages. The project comprises two major thrusts: a language-independent feature schema for rich morphological annotation, and a type-level resource of annotated data in diverse languages realizing that schema. 5 Austronesian languages spoken in Southeast Asia, consisting 2 Malayo-Polynesian languages and 3 Greater Central Philippine languages, become the part of UniMorph 4.0 release.

Languages

ind, kod, ceb, hil, tgl

Supported Tasks

Morphological Inflection

Dataset Usage

Using datasets library

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

Using seacrowd library

# Load the dataset using the default config
dset = sc.load_dataset("unimorph", schema="seacrowd")
# Check all available subsets (config names) of the dataset
print(sc.available_config_names("unimorph"))
# 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://unimorph.github.io

Dataset Version

Source: 4.0.0. SEACrowd: 2024.06.20.

Dataset License

Creative Commons Attribution Share Alike 3.0 (cc-by-sa-3.0)

Citation

If you are using the Unimorph dataloader in your work, please cite the following:


@misc{batsuren2022unimorph,
      title={UniMorph 4.0: Universal Morphology},
      author={
        Khuyagbaatar Batsuren and Omer Goldman and Salam Khalifa and Nizar
        Habash and Witold Kiera艣 and G谩bor Bella and Brian Leonard and Garrett
        Nicolai and Kyle Gorman and Yustinus Ghanggo Ate and Maria Ryskina and
        Sabrina J. Mielke and Elena Budianskaya and Charbel El-Khaissi and Tiago
        Pimentel and Michael Gasser and William Lane and Mohit Raj and Matt
        Coler and Jaime Rafael Montoya Samame and Delio Siticonatzi Camaiteri
        and Beno卯t Sagot and Esa煤 Zumaeta Rojas and Didier L贸pez Francis and
        Arturo Oncevay and Juan L贸pez Bautista and Gema Celeste Silva Villegas
        and Lucas Torroba Hennigen and Adam Ek and David Guriel and Peter Dirix
        and Jean-Philippe Bernardy and Andrey Scherbakov and Aziyana Bayyr-ool
        and Antonios Anastasopoulos and Roberto Zariquiey and Karina Sheifer and
        Sofya Ganieva and Hilaria Cruz and Ritv谩n Karah贸千a and Stella
        Markantonatou and George Pavlidis and Matvey Plugaryov and Elena
        Klyachko and Ali Salehi and Candy Angulo and Jatayu Baxi and Andrew
        Krizhanovsky and Natalia Krizhanovskaya and Elizabeth Salesky and Clara
        Vania and Sardana Ivanova and Jennifer White and Rowan Hall Maudslay and
        Josef Valvoda and Ran Zmigrod and Paula Czarnowska and Irene Nikkarinen
        and Aelita Salchak and Brijesh Bhatt and Christopher Straughn and Zoey
        Liu and Jonathan North Washington and Yuval Pinter and Duygu Ataman and
        Marcin Wolinski and Totok Suhardijanto and Anna Yablonskaya and Niklas
        Stoehr and Hossep Dolatian and Zahroh Nuriah and Shyam Ratan and Francis
        M. Tyers and Edoardo M. Ponti and Grant Aiton and Aryaman Arora and
        Richard J. Hatcher and Ritesh Kumar and Jeremiah Young and Daria
        Rodionova and Anastasia Yemelina and Taras Andrushko and Igor Marchenko
        and Polina Mashkovtseva and Alexandra Serova and Emily Prud'hommeaux and
        Maria Nepomniashchaya and Fausto Giunchiglia and Eleanor Chodroff and
        Mans Hulden and Miikka Silfverberg and Arya D. McCarthy and David
        Yarowsky and Ryan Cotterell and Reut Tsarfaty and Ekaterina Vylomova},
      year={2022},
      eprint={2205.03608},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}


@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 B枚rje 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}
}
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