The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column(/neighbors/[]/[]) changed from string to number in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 101, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
PoeTree_en: English Poetry Treebanks & Annotated Corpus
PoeTree_en is the English subsection of the PoeTree standardized multilingual collection of poetry corpora.
The dataset comprises 40,282 poems written by 430 distinct poets, fully parsed into individual JSON documents with rich metadata, author biographies, book sources, full-text poem lines, and sentence-level Universal Dependencies (CoNLL-U) token annotations (lemmas, UPOS, XPOS, morphological features, dependency parse trees, and phonetic/metrical alignments).
The English poetry subset was derived from the Project Gutenberg open corpus and is entirely within the Open Access Public Domain.
Repository Organization
All poems are organized into 430 subfolders titled by the poet's name following the convention LastName_FirstName_MiddleName (with punctuation removed):
PoeTree_en/
├── README.md
├── Abbey_Henry/
├── Adams_John_Quincy/
├── Akenside_Mark/
├── Alcott_Amos_Bronson/
├── Alcott_Louisa_May/
├── Alderson_Matthew_W/
├── Aldrich_Anne_Reeve/
├── Alger_Horatio/
├── Allen_Hervey/
├── Allingham_William/
├── Allston_Washington/
├── Alma-Tadema_Laurence/
├── Arnold_Edwin/
├── Arnold_Matthew/
├── ...
├── Whitman_Walt/
├── Whittier_John_Greenleaf/
├── Wilcox_Ella_Wheeler/
├── Williams_Helen_Maria/
├── Williams_James/
├── Williams_William_Carlos/
├── Wordsworth_William/
├── Wylie_Elinor/
└── Young_Francis_Brett/
Corpus Statistics
- Total Poems: 40,282 JSON files
- Total Authors: 430 poets
- License / Rights: CC BY-SA 4.0 (PoeTree data), Open Access / Public Domain (Project Gutenberg-derived works)
- Format: Standalone JSON per poem (UTF-8)
📖 JSON Schema Reference
All corpora in PoeTree follow the exact standardized JSON schema defined at https://versologie.cz/poetree/json-schema/.
Each poem is stored in an individual JSON file with the following attributes:
Top-Level Schema
| Field | Type | Description |
|---|---|---|
id |
str |
Unique ID of the poem (points to a source file). |
title |
`str | null` |
year_created |
`int | list |
author |
`dict | list` |
source |
dict |
Metadata dictionary describing the book/volume source. |
body |
list[dict] |
List of line dictionaries containing verse text, stanzas, and token-level CoNLL-U linguistic annotations. |
neighbors |
list |
20 most similar poems (fuzzy partial ratio) by the same author, encoded as [id, similarity_score] in descending order. |
duplicate |
`str | false` |
locations |
`list[dict] | false` |
Object Definitions
1. author (Author Metadata)
{
"name": "Whitman, Walt",
"wiki": "Q81438",
"viaf": "2478331",
"born": 1819,
"died": 1892,
"country": "us"
}
name(str): Name of the author as it appears in the source (or[anonymous]).viaf(str | null): Virtual International Authority File (VIAF) ID.wiki(str | null): Wikidata entity identifier (e.g.,Q81438).country(str | null): Country of origin (ISO code) ornullif unknown.born(int | null): Year of birth.died(int | null): Year of death.
2. source (Publication Source)
{
"id": "leavesOfGrass",
"title": "Leaves of Grass",
"year_published": 1855,
"publisher": null,
"place": "Brooklyn, New York",
"corpus": "gutenberg"
}
id(str | null): Book/volume identifier.title(str | null): Title of the source book.year_published(int | null): Year of publication.publisher(str | null): Publisher name.place(str | null): Place/city of publication.corpus(str): Source corpus name (gutenbergfor English).
3. locations (Geolocation Entities)
wiki(str): Location Wikidata identifier (e.g.Q1085for Prague).loc_start([line_i, word_i]): Zero-based line index and word index of entity start.loc_end([line_i, word_i]): Zero-based line index and word index of entity end.
4. body (Lines & CoNLL-U Word Annotations)
Each element in body represents a verse line:
{
"id": 0,
"stanza_id": 0,
"text": "I celebrate myself, and sing myself,",
"part": false,
"words": [
{
"id": 1,
"form": "I",
"lemma": "I",
"upos": "PRON",
"xpos": "PRP",
"feats": "Case=Nom|Number=Sing|Person=1|PronType=Prs",
"head": 2,
"deprel": "nsubj",
"deps": "_",
"sentence": 1
}
]
}
id(int): Zero-based line index, incrementing monotonically throughout the entire poem (does not reset across stanzas).stanza_id(int): Zero-based stanza index.text(str): Surface text of the verse line.part(str | false): For split/divided lines:"I"(initial),"M"(medial),"F"(final), orfalsefor normal undivided lines.words(list[dict]): Word-level linguistic annotations according to the Universal Dependencies (CoNLL-U) standard:id(int): 1-based token index within the sentence.form(str): Surface word form or punctuation symbol.lemma(str): Lemma or stem of the word form.upos(str): Universal Part-of-Speech tag (e.g.,NOUN,VERB,ADJ,PRON,PUNCT).xpos(str): Language-specific part-of-speech tag (_if unavailable).feats(str): Morphological features from universal inventory (_if unavailable).head(int): Head governor token index (0if root).deprel(str): Universal dependency relation to the head (e.g.,nsubj,obj,root).deps(str): Enhanced dependency graph representation.sentence(int): 1-based sentence index.multiword(dict, optional): Multiword token details if token is part of a compound contraction.
How to Cite
If you use PoeTree in your research, please cite the dataset and the primary journal article as reproduced from https://versologie.cz/poetree/cite:
1. PoeTree Dataset
@dataset{poetree_data,
author = {Plecháč, Petr and
Kolár, Robert and
Cinková, Silvie and
Šeļa, Artjoms and
De Sisto, Mirella and
Nugues, Lara and
Haider, Thomas and
Nagy, Benjamin and
Delente, Éliane and
Renault, Richard and
Bobenhausen, Klemens and
Hammerich, Benjamin and
Mittmann, Adiel and
Palkó, Gábor and
Horváth, Péter and
Navarro Colorado, Borja and
Ruiz Fabo, Pablo and
Bermúdez Sabel, Helena and
Korchagin, Kirill and
Plungian, Vladimir and
Sitchinava, Dmitri},
title = {{PoeTree. Poetry Treebanks in Czech, English,
French, German, Hungarian, Italian, Portuguese,
Russian and Spanish}},
month = oct,
year = 2023,
publisher = {Zenodo},
version = {0.0.1},
doi = {10.5281/zenodo.10008459},
url = {https://doi.org/10.5281/zenodo.10008459}
}
APA Citation:
Plecháč, P., Kolár, R., Cinková, S., Šeļa, A., De Sisto, M., Nugues, L., Haider, T., Kočnik, N., Nagy, B., Delente, É., Renault, R., Bobenhausen, K., Hammerich, B., Mittmann, A., Palkó, G., Horváth, P., Navarro Colorado, B., Ruiz Fabo, P., Bermúdez Sabel, H., Korchagin, K., Plungian, V., Sitchinava, D. (2023). PoeTree. Poetry Treebanks in Czech, English, French, German, Hungarian, Italian, Portuguese, Russian, Slovenian, and Spanish (0.0.2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10008458
2. PoeTree Primary Journal Article
@article{poetree2024,
author = {Petr Plecháč and
Silvie Cinková and
Robert Kolár and
Artjoms Šeļa and
Mirella De Sisto and
Lara Nugues and
Thomas Haider and
Neža Kočnik},
title = {PoeTree: Poetry Treebanks in Czech, English, French, German,
Hungarian, Italian, Portuguese, Russian, Slovenian and Spanish},
journal = {Research Data Journal for the Humanities and Social Sciences},
year = {2024},
publisher = {Brill},
address = {Leiden, The Netherlands},
doi = {10.1163/24523666-bja10044},
pages = {1--17},
url = {https://brill.com/view/journals/rdj/aop/article-10.1163-24523666-bja10044/article-10.1163-24523666-bja10044.xml}
}
APA Citation:
Plecháč, P., Cinková, S., Kolár, R., Šeļa, A., De Sisto, M., Nugues, L., Haider, T., & Kočnik, N. (2024). PoeTree: Poetry Treebanks in Czech, English, French, German, Hungarian, Italian, Portuguese, Russian, Slovenian and Spanish. Research Data Journal for the Humanities and Social Sciences, 1–17. https://doi.org/10.1163/24523666-bja10044
3. Individual Language Corpora Citations
When using other subcorpora from the broader PoeTree collection, please refer to the corresponding standalone references:
- Czech (
PoeTree.cs): Plecháč, P., & Kolár, R. (2015). The Corpus of Czech Verse. Studia Metrica et Poetica, 2(1), 107–118. https://doi.org/10.12697/smp.2015.2.1.05 - German (
PoeTree.de):- Bobenhausen, K., & Hammerich, B. (2015). Métrique littéraire, métrique linguistique et métrique algorithmique de l'allemand mises en jeu dans le programme Metricalizer². Langages, (199), 67–87. https://doi.org/10.3917/lang.199.0067
- Haider, T. (2021). Metrical Tagging in the Wild: Building and Annotating Poetry Corpora with Rhythmic Features. Proceedings of EACL 2021, 3715–3725. https://doi.org/10.18653/v1/2021.eacl-main.325
- English (
PoeTree.en): Derived from Project Gutenberg ([no standalone paper reference; open access public domain]). - Spanish (
PoeTree.es):- Navarro-Colorado, B., Ribes Lafoz, M., & Sánchez, N. (2016). Metrical Annotation of a Large Corpus of Spanish Sonnets. Proceedings of LREC 2016, 4360–4364.
- Ruiz Fabo, P., Bermúdez Sabel, H., Martínez Cantón, C., & González-Blanco, E. (2020). The Diachronic Spanish Sonnet Corpus. Digital Scholarship in the Humanities, 36(Suppl_1), i68–i80. https://doi.org/10.1093/llc/fqaa035
- French (
PoeTree.fr): Delente, É., & Renault, R. (2021). Projet Anamètre : présentation, limites et avancées. In Plotting Poetry, On Mechanically-Enhanced Reading (pp. 73–92). Presses universitaires de Liège. - Hungarian (
PoeTree.hu): Horváth, P., et al. (2022). ELTE Poetry Corpus: A Machine Annotated Database of Canonical Hungarian Poetry. Proceedings of LREC 2022, 3471–3478. https://aclanthology.org/2022.lrec-1.372 - Italian (
PoeTree.it): Quondam, A. Una storia lunga trenta anni. Biblioteca Italiana. http://www.bibliotecaitaliana.it/page/142028 - Norwegian (
PoeTree.no): Kvinnsland, R., Dale, I. L., & Tungland, L. M. (2024). Rediscovering the 1890s: A Norwegian Poetry Corpus. Proceedings of CHR 2024, 1259–1271. https://ceur-ws.org/Vol-3834/#paper24 - Portuguese (
PoeTree.pt): Mittmann, A., Pergher, P. H., & Luiz dos Santos, A. (2019). What Rhythmic Signature Says About Poetic Corpora. In Quantitative Approaches to Versification (pp. 153–172). ICL CAS. - Russian (
PoeTree.ru): Grishina, E., Korchagin, K., Plungian, V., & Sitchinava, D. (2009). Poeticheskii korpus v ramkah NKRIA: obschaia struktura i perspektivy ispolzovania. In Natsionalnii korpus russkogo iazyka: 2006–2008 (pp. 71–113). Nestor-Istoria.
PoeTree Project & Funding Information
- Main Portal: https://versologie.cz/poetree/
- Host Institution: Institute of Czech Literature of the Czech Academy of Sciences (ICL CAS) / Versologie Project
- Support & Funding: Supported by the Czech Science Foundation (Grant No. GA23-07727S)
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