Datasets:
Tasks:
Text Classification
Formats:
parquet
Languages:
Ancient Greek (to 1453)
Size:
100K - 1M
ArXiv:
License:
Commit History
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Pick the CoNLL-U column by publication, not by base name
The chunk-coverage test chose its parse column with base == "verse", which was the whole of the metre publication until the hexameter tracks were added. The two new bases fell through to conllu_human, a column the metre publication does not have, and the test failed on the first hexameter configuration it reached. Key on the publication root instead, which cannot stop covering a track that is added later. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>d12f7cb
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Add two hexameter tracks to the metre publication
The scanned-line publication had one track, so a model could score on it by telling the metres apart rather than the poets: the metre column alone separates Aeschylus, Pindar and Lycophron from the other fourteen, and it is a Hypotactic annotation rather than a fact of the transmitted text. hexameter_{1,5,10} is Hesiod and the two Homeric corpora, the labels of the sentence publication's track of the same name, so both publications put one question to one set of labels. hexameter_all_{1,5,10} is every line whose metre is hexameter, fourteen poets from Homer to Nonnus, where that shortcut is gone because the metre label is constant: Callimachus' elegiac couplets, Theognis' pentameters and Theocritus' Aeolic lyric leave with the three non-hexameter poets. Both reuse the main track's lines and splits. There is no tragedians track here, although the sentence publication has one: Hypotactic scans no Sophocles and no Euripides, so it would carry the single label Aeschylus. The reason is re…0879baf
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Second edition: work-held-out and matched tracks, four splits, two syntax layers
Rebuilt after an adversarial review of the first edition. Every split, chunk boundary and seed changed (seed 917). The 50-sentence task and the source-held-out track are gone; sentence_{1,5,10} is joined by work_held_out_{1,5,10}, whose test split is one whole work per author held out within an annotation project, and by the matched tracks tragedians, attic_orators, imperial_historians and hexameter. A fourth split, validation2, is reserved for choosing combination models. Exact deduplication now ignores modifier letters, passage-level near-duplicate removal follows it, a token is a word only if it contains a Greek letter, and every sentence's text is exactly its published forms. The human trees are published as conllu_human beside conllu_machine, one Stoicheia parse of every sentence carrying the human lemma, with an independent manual audit of 100 trees under metadata/machine_syntax_audit/. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>667319c
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Replace the 100-row task with a 5-row task and admit 11 more authors
The 100-row eligibility bar excluded eleven authors that clear 50 comfortably, most of them by a hair: Euripides had 79 validation and 79 test rows, Aristotle 87, Lysias 97. A closed set that omits Euripides and Aristotle is hard to defend when the only thing keeping them out is a threshold. Both publications now define 1-, 5-, 10- and 50-row tasks. The bottleneck moves to 50, the largest chunk, so every retained author still has at least one complete chunk of every task size in validation and in test, and every smaller size divides 50, which is what lets one retained row set fill all four tasks. Sphragis grows from 17 to 28 authors and from 43,300 to 50,500 training rows, gaining Aeschines, Antiphon, Appian, Aristotle, Euripides, Hesiod, Lucian, Lysias, Menander, Paul and Sextus Empiricus. The source-held-out track grows from 11 to 12. Sphragis Metre gains Tryphiodorus. The cost is that the thinnest authors now have a single 50-row chunk in test, so their per-author accuracy on the…eaebf86
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Publish structured columns instead of JSON inside strings
The CoNLL-U column was one long string of escaped tabs and newlines, which is unreadable in the Hugging Face viewer and in any Parquet tool. Every column that held JSON in a string is now a real nested Arrow type, so load_dataset returns Python lists and dictionaries with nothing left to parse: row["conllu"][0][0][2] {"id": 3, "form": "βῆ", "lemma": "βαίνω", "upos": "VERB", "xpos": "v3saia---", "feats": "Mood=Ind|Number=Sing|Tense=Past|Voice=Act", "head": 0, "deprel": "root"} A unit is a list of sentences and a sentence a list of tokens, because one Sphragis Metre line can span a sentence boundary; every Sphragis sentence unit holds exactly one. scripts/conllu_units.render_conllu returns canonical CoNLL-U text, and the build validates every published unit by rendering it and parsing the result with the official CoNLL 2018 loader, so the structure is provably still CoNLL-U. Naming the fields once in the schema rather than once per token also makes the data smaller t…31e2783 -
Remove annotation-scheme leakage from model-facing columns
Sphragis merges seven annotation projects whose author inventories do not overlap, so every convention that separates the projects also separates the authors. A classifier seeing annotation markup and no Greek at all reached 63.4% accuracy and 45.3 macro-F1 on the 17-way sentence_1 task against a 14.6% baseline, and single rules were near-deterministic: no PUNCT token identified Herodotus at 99.6% precision over 83% of his sentences, and an empty MISC column separated the Iliad from the Odyssey at 83.5%. Every published column is now reduced to one shared representation: - MISC is cleared; NativeRel, NativeHead and HeadRepair move to a new native_syntax audit column, keyed by published and source token index. - Editorial punctuation tokens are removed and trees re-indexed, because UD PROIEL does not tokenize punctuation at all. - Elision is written as a combining comma by AGDT and UD Perseus, as three different apostrophes within Gorman, and as U+2019 by Pedalion and PROIEL; …6fc8784 -
Reparse metre syntax uniformly with Stoicheia
83dae89
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Add derived metrical line features
0bd1a9f -
Omit genre from metre publication schema
838a0aa
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Derive metre features from word boundaries
30903f0 -
Rename metre task configurations to verse
9c2923f -
Support exact 50-line metre task
71cd466
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Add exact 50-sentence benchmark task
8280489 -
Document retained sentences by author
fb96d98 -
Validate documented metre author shares
c87f113 -
Preserve nested metre lines and Hypotactic caesurae
d2c51c1 -
Validate documented metre author counts
f8c1953
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Parse Hypotactic verse as sentences before line cropping
0280c7d -
Add Stoicheia parsing for complete Hypotactic coverage
5a7dc0a -
Rebuild Sphragis from the complete treebank sentence pool
733d9e5 -
Synchronize dataset card counts with chunked training
1539318 -
Chunk training splits at fixed task sizes
f194eef -
Enforce exact verse boundaries and nested CoNLL-U
c6b9888
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Represent text chunks as JSON lists
e1e2e3d -
Remove identifying metadata from metrical lines
1bcc6c0
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Fix metrical chunk aggregation
24c3b46 -
Unify source text across task sizes
4a0d2b0 -
Freeze exact evaluation chunks
ecfe7f5
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Add chunk-size dataset variants
85f00da -
Test aggregate genre split ratios
8373f72 -
Rebuild work-stratified splits with seed 776
1f231e9