Upload Camoniana dataset

README.md

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+---
+language:
+- pt
+language_creators:
+- found
+annotations_creators:
+- no-annotation
+multilinguality:
+- monolingual
+pretty_name: Camoniana
+task_categories:
+- text-generation
+size_categories:
+- 10K<n<100K
+tags:
+- text
+- portuguese
+- literature
+- poetry
+- character-level
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train.txt
+  - split: validation
+    path: data/validation.txt
+- config_name: full
+  data_files:
+  - split: train
+    path: data/full.txt
+---
+
+# Camoniana
+
+Camoniana is a small Portuguese literary corpus prepared for character-level language modeling.
+It is the dataset used to train TinyCamoes.
+
+## Dataset Details
+
+- **Language:** Portuguese (`pt`)
+- **Modality:** text
+- **Primary task:** text generation / character-level language modeling
+- **Annotations:** none
+- **Tokenizer assumption:** one Unicode character is one token for TinyCamoes training
+- **Source in the training workspace:** `/root/tiny-camoes/input.txt`
+
+## Files
+
+```text
+README.md
+metadata.json
+vocab.json
+data/full.txt
+data/train.txt
+data/validation.txt
+```
+
+- `data/full.txt`: full corpus text.
+- `data/train.txt`: first 90% of the corpus by character offset.
+- `data/validation.txt`: final 10% of the corpus by character offset.
+- `metadata.json`: corpus statistics and split metadata.
+- `vocab.json`: character vocabulary and integer mappings used by the TinyCamoes character model.
+
+The binary `train.bin`, `val.bin`, and `meta.pkl` files used by the TinyCamoes training script are intentionally not included here. They are derived training artifacts, not the canonical dataset.
+
+## Dataset Structure
+
+The default configuration exposes the training and validation splits:
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("vreabernardo/camoniana")
+```
+
+To load the full corpus as one split:
+
+```python
+from datasets import load_dataset
+
+full = load_dataset("vreabernardo/camoniana", "full")
+```
+
+For raw-file workflows, download `data/full.txt` directly.
+
+## Splits and Statistics
+
+```text
+characters: 1,046,084
+lines: 34,241
+vocab size: 119
+train characters: 941,475
+validation characters: 104,609
+split: contiguous 90/10 by character offset
+```
+
+The split is contiguous rather than shuffled so the TinyCamoes training process can reproduce the original character-level setup exactly.
+
+## Intended Uses
+
+- Training small character-level language models.
+- Testing Portuguese text generation experiments.
+- Reproducing TinyCamoes dataset preparation.
+
+## Out-of-Scope Uses
+
+- Treating the validation 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 text.
+
+## Data Creation
+
+The corpus was taken from the local `/root/tiny-camoes/input.txt` source used in the TinyCamoes training workspace, then split by character offset into train and validation text files. No labels or annotations were added.
+
+## Limitations and Biases
+
+This is a small literary corpus. It reflects the language, spelling, style, and editorial choices of its source material and should not be treated as representative of contemporary Portuguese.
+
+## License and Provenance
+
+More Information Needed.
+
+The works of Luís de Camões are historically public-domain, but the local source repository used for this upload does not include a license file or detailed provenance for the transcription/edition. Until provenance is verified, users should treat redistribution and downstream use with care.
+
+## Citation
+
+More Information Needed.
+
+If you use this dataset to reproduce TinyCamoes experiments, cite the TinyCamoes repository and include the exact dataset revision from Hugging Face.

metadata.json

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+{
+  "name": "Camoniana",
+  "description": "Portuguese literary corpus prepared for character-level language modeling.",
+  "language": "pt",
+  "modality": "text",
+  "tokenization": "character-level",
+  "num_characters": 1046084,
+  "num_lines": 34241,
+  "vocab_size": 119,
+  "train_characters": 941475,
+  "validation_characters": 104609,
+  "split_method": "contiguous 90/10 split by character offset",
+  "source_path": "/root/tiny-camoes/input.txt",
+  "license_status": "More Information Needed: source repository has no license file."
+}

vocab.json

@@ -0,0 +1,365 @@
+{
+  "chars": [
+    "\n",
+    " ",
+    "!",
+    "'",
+    "(",
+    ")",
+    ",",
+    "-",
+    ".",
+    "0",
+    "1",
+    "2",
+    "3",
+    "5",
+    "6",
+    "7",
+    "8",
+    ":",
+    ";",
+    "?",
+    "A",
+    "B",
+    "C",
+    "D",
+    "E",
+    "F",
+    "G",
+    "H",
+    "I",
+    "J",
+    "L",
+    "M",
+    "N",
+    "O",
+    "P",
+    "Q",
+    "R",
+    "S",
+    "T",
+    "U",
+    "V",
+    "X",
+    "Y",
+    "Z",
+    "[",
+    "\\",
+    "]",
+    "a",
+    "b",
+    "c",
+    "d",
+    "e",
+    "f",
+    "g",
+    "h",
+    "i",
+    "j",
+    "l",
+    "m",
+    "n",
+    "o",
+    "p",
+    "q",
+    "r",
+    "s",
+    "t",
+    "u",
+    "v",
+    "x",
+    "y",
+    "z",
+    "«",
+    "­",
+    "´",
+    "»",
+    "À",
+    "Á",
+    "Â",
+    "Ã",
+    "Ç",
+    "É",
+    "Í",
+    "Ó",
+    "Ô",
+    "Ú",
+    "à",
+    "á",
+    "â",
+    "ã",
+    "ç",
+    "è",
+    "é",
+    "ê",
+    "ë",
+    "í",
+    "ï",
+    "ñ",
+    "ò",
+    "ó",
+    "ô",
+    "õ",
+    "ù",
+    "ú",
+    "ü",
+    "ā",
+    "Ũ",
+    "ũ",
+    "Ū",
+    "ū",
+    "–",
+    "—",
+    "‘",
+    "’",
+    "“",
+    "”",
+    "…",
+    "（",
+    "－",
+    "［"
+  ],
+  "stoi": {
+    "\n": 0,
+    " ": 1,
+    "!": 2,
+    "'": 3,
+    "(": 4,
+    ")": 5,
+    ",": 6,
+    "-": 7,
+    ".": 8,
+    "0": 9,
+    "1": 10,
+    "2": 11,
+    "3": 12,
+    "5": 13,
+    "6": 14,
+    "7": 15,
+    "8": 16,
+    ":": 17,
+    ";": 18,
+    "?": 19,
+    "A": 20,
+    "B": 21,
+    "C": 22,
+    "D": 23,
+    "E": 24,
+    "F": 25,
+    "G": 26,
+    "H": 27,
+    "I": 28,
+    "J": 29,
+    "L": 30,
+    "M": 31,
+    "N": 32,
+    "O": 33,
+    "P": 34,
+    "Q": 35,
+    "R": 36,
+    "S": 37,
+    "T": 38,
+    "U": 39,
+    "V": 40,
+    "X": 41,
+    "Y": 42,
+    "Z": 43,
+    "[": 44,
+    "\\": 45,
+    "]": 46,
+    "a": 47,
+    "b": 48,
+    "c": 49,
+    "d": 50,
+    "e": 51,
+    "f": 52,
+    "g": 53,
+    "h": 54,
+    "i": 55,
+    "j": 56,
+    "l": 57,
+    "m": 58,
+    "n": 59,
+    "o": 60,
+    "p": 61,
+    "q": 62,
+    "r": 63,
+    "s": 64,
+    "t": 65,
+    "u": 66,
+    "v": 67,
+    "x": 68,
+    "y": 69,
+    "z": 70,
+    "«": 71,
+    "­": 72,
+    "´": 73,
+    "»": 74,
+    "À": 75,
+    "Á": 76,
+    "Â": 77,
+    "Ã": 78,
+    "Ç": 79,
+    "É": 80,
+    "Í": 81,
+    "Ó": 82,
+    "Ô": 83,
+    "Ú": 84,
+    "à": 85,
+    "á": 86,
+    "â": 87,
+    "ã": 88,
+    "ç": 89,
+    "è": 90,
+    "é": 91,
+    "ê": 92,
+    "ë": 93,
+    "í": 94,
+    "ï": 95,
+    "ñ": 96,
+    "ò": 97,
+    "ó": 98,
+    "ô": 99,
+    "õ": 100,
+    "ù": 101,
+    "ú": 102,
+    "ü": 103,
+    "ā": 104,
+    "Ũ": 105,
+    "ũ": 106,
+    "Ū": 107,
+    "ū": 108,
+    "–": 109,
+    "—": 110,
+    "‘": 111,
+    "’": 112,
+    "“": 113,
+    "”": 114,
+    "…": 115,
+    "（": 116,
+    "－": 117,
+    "［": 118
+  },
+  "itos": {
+    "0": "\n",
+    "1": " ",
+    "2": "!",
+    "3": "'",
+    "4": "(",
+    "5": ")",
+    "6": ",",
+    "7": "-",
+    "8": ".",
+    "9": "0",
+    "10": "1",
+    "11": "2",
+    "12": "3",
+    "13": "5",
+    "14": "6",
+    "15": "7",
+    "16": "8",
+    "17": ":",
+    "18": ";",
+    "19": "?",
+    "20": "A",
+    "21": "B",
+    "22": "C",
+    "23": "D",
+    "24": "E",
+    "25": "F",
+    "26": "G",
+    "27": "H",
+    "28": "I",
+    "29": "J",
+    "30": "L",
+    "31": "M",
+    "32": "N",
+    "33": "O",
+    "34": "P",
+    "35": "Q",
+    "36": "R",
+    "37": "S",
+    "38": "T",
+    "39": "U",
+    "40": "V",
+    "41": "X",
+    "42": "Y",
+    "43": "Z",
+    "44": "[",
+    "45": "\\",
+    "46": "]",
+    "47": "a",
+    "48": "b",
+    "49": "c",
+    "50": "d",
+    "51": "e",
+    "52": "f",
+    "53": "g",
+    "54": "h",
+    "55": "i",
+    "56": "j",
+    "57": "l",
+    "58": "m",
+    "59": "n",
+    "60": "o",
+    "61": "p",
+    "62": "q",
+    "63": "r",
+    "64": "s",
+    "65": "t",
+    "66": "u",
+    "67": "v",
+    "68": "x",
+    "69": "y",
+    "70": "z",
+    "71": "«",
+    "72": "­",
+    "73": "´",
+    "74": "»",
+    "75": "À",
+    "76": "Á",
+    "77": "Â",
+    "78": "Ã",
+    "79": "Ç",
+    "80": "É",
+    "81": "Í",
+    "82": "Ó",
+    "83": "Ô",
+    "84": "Ú",
+    "85": "à",
+    "86": "á",
+    "87": "â",
+    "88": "ã",
+    "89": "ç",
+    "90": "è",
+    "91": "é",
+    "92": "ê",
+    "93": "ë",
+    "94": "í",
+    "95": "ï",
+    "96": "ñ",
+    "97": "ò",
+    "98": "ó",
+    "99": "ô",
+    "100": "õ",
+    "101": "ù",
+    "102": "ú",
+    "103": "ü",
+    "104": "ā",
+    "105": "Ũ",
+    "106": "ũ",
+    "107": "Ū",
+    "108": "ū",
+    "109": "–",
+    "110": "—",
+    "111": "‘",
+    "112": "’",
+    "113": "“",
+    "114": "”",
+    "115": "…",
+    "116": "（",
+    "117": "－",
+    "118": "［"
+  }
+}