Pessoana: cleaned Portuguese literature corpus (84 works; front matter stripped; train/validation/test/full; CC BY-SA 4.0)

.gitattributes

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 # Video files - compressed
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 *.webm filter=lfs diff=lfs merge=lfs -text
+data/full.txt filter=lfs diff=lfs merge=lfs -text
+data/train.txt filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,174 @@
+---
+language:
+- pt
+language_creators:
+- found
+annotations_creators:
+- no-annotation
+multilinguality:
+- monolingual
+pretty_name: Pessoana
+license: cc-by-sa-4.0
+task_categories:
+- text-generation
+size_categories:
+- 10M<n<100M
+tags:
+- text
+- portuguese
+- portuguese-literature
+- literature
+- prose
+- poetry
+- public-domain
+- character-level
+- eca-de-queiros
+- machado-de-assis
+- fernando-pessoa
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train.txt
+  - split: validation
+    path: data/validation.txt
+  - split: test
+    path: data/test.txt
+- config_name: full
+  data_files:
+  - split: train
+    path: data/full.txt
+---
+
+# Pessoana
+
+Pessoana is a Portuguese literary corpus of 84 public-domain works of Portuguese and
+Brazilian classic literature, prepared for character-level language modeling. It is a
+companion to [camoniana](https://huggingface.co/datasets/vreabernardo/camoniana), named
+in homage to Fernando Pessoa (whose *Mensagem* it includes), and spans the canon from
+Eça de Queirós and Machado de Assis to Florbela Espanca and Mário de Sá-Carneiro.
+
+## Dataset Details
+
+- **Language:** Portuguese (`pt`) — pre-1990 orthography.
+- **Authorial focus:** Portuguese and Brazilian classic literature (84 works).
+- **Modality:** text (prose and poetry).
+- **Primary task:** text generation / character-level language modeling.
+- **Annotations:** none.
+- **Tokenizer assumption:** one Unicode character is one token.
+
+## Files
+
+```text
+README.md
+metadata.json
+vocab.json
+data/full.txt
+data/train.txt
+data/validation.txt
+data/test.txt
+```
+
+- `data/full.txt`: full corpus text (train + validation + test).
+- `data/train.txt` / `data/validation.txt` / `data/test.txt`: the splits.
+- `metadata.json`: corpus statistics and split metadata.
+- `vocab.json`: character vocabulary and integer mappings for character-level modeling.
+
+## Dataset Structure
+
+The default configuration exposes the train, validation, and test splits:
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("vreabernardo/pessoana")
+```
+
+To load the full corpus as one split:
+
+```python
+from datasets import load_dataset
+
+full = load_dataset("vreabernardo/pessoana", "full")
+```
+
+For raw-file workflows, download `data/full.txt` directly.
+
+## Splits and Statistics
+
+```text
+works: 84
+vocab size: 165
+train characters: 15,044,011
+validation characters: 1,848,444
+test characters: 2,269,090
+full characters: 19,161,545
+split: document-level, overlap-audited (no work appears in more than one split)
+```
+
+Splits are assigned per document and overlap-audited, so no work leaks between train,
+validation, and test. This keeps validation and test as honest held-out measurements
+for character-level training runs.
+
+## Intended Uses
+
+- Training small character-level language models for Portuguese.
+- Testing Portuguese text generation experiments.
+- Reproducing character-level dataset preparation.
+
+## Out-of-Scope Uses
+
+- Treating the validation or test split as a benchmark for unrelated Portuguese
+  language modeling systems.
+- Assuming the corpus represents modern Portuguese usage.
+- Using generated outputs as factual or scholarly editions of the source texts.
+
+## Data Creation
+
+The works were parsed from public-domain EPUBs to UTF-8 plain text and assigned to
+train/validation/test at the document level with an overlap audit. Publisher front
+matter — colophons (*Ficha Técnica*), tables of contents, ISBN/edition notices, and
+licence statements — was stripped so the corpus is continuous literary prose and verse.
+No labels or annotations were added.
+
+## Limitations and Biases
+
+This is a literary corpus. It reflects the language, spelling, style, and editorial
+choices of its source material (mostly 19th- and early-20th-century texts) and should
+not be treated as representative of contemporary Portuguese. Light extraction artifacts
+(e.g. footnote markers) may remain.
+
+## License and Provenance
+
+The texts come from **Projecto Adamastor**, which publishes Portuguese-language literary
+works under a Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
+licence. The underlying works are in the public domain by age. This compilation is
+redistributed under CC BY-SA 4.0 — please keep attribution to Projecto Adamastor and the
+original authors.
+
+## Citation
+
+Use the exact Hugging Face revision you used. Replace `<revision-sha>` with the commit
+hash shown on the dataset page.
+
+### APA
+
+```text
+Vrea, B. (2026). Pessoana: A Portuguese literary corpus for character-level
+language modeling [Data set]. Hugging Face.
+https://huggingface.co/datasets/vreabernardo/pessoana
+Revision: <revision-sha>
+```
+
+### BibTeX
+
+```bibtex
+@misc{vrea2026pessoana,
+  title     = {Pessoana: A Portuguese Literary Corpus for Character-Level Language Modeling},
+  author    = {Vrea, Bernardo},
+  year      = {2026},
+  publisher = {Hugging Face},
+  url       = {https://huggingface.co/datasets/vreabernardo/pessoana},
+  note      = {Revision: <revision-sha>}
+}
+```

data/full.txt

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metadata.json

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+{
+  "name": "pessoana",
+  "description": "Portuguese classic literature corpus for character-level language modeling",
+  "source": "Projecto Adamastor (https://adamastor.eu/)",
+  "license": "CC BY-SA 4.0",
+  "works": 84,
+  "vocab_size": 165,
+  "split_method": "document-level, overlap-audited (no work appears in more than one split)",
+  "cleaning": "publisher front matter (colophon, table of contents, licence notices) stripped",
+  "splits": {
+    "train": {
+      "characters": 15044011,
+      "lines": 245681
+    },
+    "validation": {
+      "characters": 1848444,
+      "lines": 21413
+    },
+    "test": {
+      "characters": 2269090,
+      "lines": 24123
+    },
+    "full": {
+      "characters": 19161545,
+      "lines": 291215
+    }
+  }
+}

vocab.json

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+{
+  "vocab_size": 165,
+  "stoi": {
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+    " ": 1,
+    "!": 2,
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+    "$": 4,
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+    "§": 87,
+    "«": 88,
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+}