Datasets:

browndw
/

morphoseg-en

dataset_info:
  features:
    - name: word
      dtype: string
    - name: segments
      list: string
    - name: segment_roles
      list: string
    - name: segment_pos
      list: string
    - name: original_segments
      list: string
    - name: source
      dtype: string
    - name: subcategory
      dtype: string
  splits:
    - name: train
      num_bytes: 31509409
      num_examples: 236522
    - name: validation
      num_bytes: 3932377
      num_examples: 29459
    - name: test
      num_bytes: 3930551
      num_examples: 29460
  download_size: 7957987
  dataset_size: 39372337
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
license: cc-by-sa-3.0
task_categories:
  - feature-extraction
language:
  - en
pretty_name: MorphoSeg English
size_categories:
  - 100K<n<1M

Dataset Card for morphoseg-en

Dataset Summary

Owner: browndw
Name: morphoseg-en
Task: English word-to-morpheme segmentation
Source: Processed from the Wiktionary-derived corpus released via Zenodo (DOI: 10.5281/zenodo.5172856)
Format: JSONL with fields word (string) and segments (list of strings)

Supported Tasks and Leaderboards

Morphological Segmentation: Sequence-to-sequence prediction of morpheme boundaries and affix strings.
No official leaderboard is associated with this dataset at the moment.

Languages

English (en). Foreign-language affixes may appear in etymological compounds but the primary target language is English.

Dataset Structure

Total examples: 275,836 unique word/segments pairs with at least two morphemes.
Splits:
- train: 220,668 examples (80%)
- val: 27,583 examples (10%)
- test: 27,585 examples (10%)
Each example contains the raw word form and an ordered list of morpheme strings (including prefixes/suffixes such as "non-", "-ation").

Data Processing

Stream-parsed the original wiki_morph.json using ijson to avoid loading the entire file in memory.
Extracted (word, segments) pairs from entries with non-empty Morphemes arrays.
Filtered out examples with fewer than two morphemes (--min-segments 2).
Deduplicated by exact (word, tuple(segments)) to remove repeated senses.
Randomly shuffled and split the resulting examples into train/validation/test partitions with seed 42.

Licensing and Usage

The original dataset at DOI 10.5281/zenodo.5172856 should be consulted for licensing terms (the upstream release is CC BY-SA 3.0 per Zenodo metadata). Downstream users must comply with the original license conditions, including attribution and share-alike provisions when applicable.
This processed dataset inherits the same licensing constraints. When redistributing or deploying models trained on morphoseg-en, include attribution to both the original Zenodo release and this repository.

Intended Uses

Training and evaluating morphological segmentation models (e.g., byte/character-level Transformers, sequence taggers).
Linguistic analysis of morpheme distributions in English lexicon data.

Limitations

Derived from Wiktionary entries; coverage favors lexemes with richer dictionary documentation and may exhibit inconsistencies in affix notation.
Homographs with divergent segmentations may exist, but sense-level context is stripped, so models see only surface forms.
Some entries retain historical or etymological morpheme analyses rather than synchronic segmentations.

Citation

If you use morphoseg-en in your work, please cite the Zenodo source and this processed release. Example BibTeX:

@dataset{morphoseg_en,
  author       = {Brown, David West},
  title        = {morphoseg-en: English Morpheme Segmentation Dataset},
  year         = {2025},
  publisher    = {Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/browndw/morphoseg-en}}
}

And the original source:

@dataset{prazak_2021_morphology,
  author       = {Prazak, David and others},
  title        = {Morphological segmentation dataset from Wiktionary},
  year         = {2021},
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.5172856}
}

Contact

For questions or issues, file an issue in the GitHub repository associated with this project or reach out to browndw on Hugging Face.