morphoseg-en / README.md
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---
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](https://doi.org/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](https://doi.org/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:
```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:
```bibtex
@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.