docs: add model card with tier definitions and counts
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README.md
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dtype: int64
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splits:
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- name: train
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num_bytes: 37006
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num_examples: 14
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- name: test
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num_bytes: 18508
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num_examples: 7
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download_size: 62707
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dataset_size: 55514
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: test
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path: data/test-*
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---
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license: cc-by-sa-4.0
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language:
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- en
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- ar
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- el
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- sa
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- zh
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tags:
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- abacus
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- provenance
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- classification
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- pre-modern-mathematics
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- bert-training
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size_categories:
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- n<1K
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---
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# ABACUS Provenance Trainset v0.1
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**Phase 1 (bootstrap)** — labeled from existing ABACUS corpus TEA records.
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Phase 2 will add active ingest to fill gaps.
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## Purpose
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Training data for the W6.2 BERT provenance classifier (Decision #53).
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Classifies text snippets into provenance tiers A / B / C:
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| Tier | Definition |
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|------|-----------|
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| **A** | Primary source — original-language scholarly edition, manuscript transcription, peer-reviewed critical edition. Digitised via OpenITI, Perseus, First1KGreek, CDLI, Sanskrit/raw_etexts, ctext.org, etc. No translated-by intermediary. |
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| **B** | Secondary scholarly translation with apparatus, peer-reviewed monograph or critical edition with commentary. Tradition-preserving lineage. Post-1929 but pre-Bourbaki epistemic stance. |
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| **C** | Popularization, encyclopedic, derivative, web-content. Wikipedia, Britannica, arXiv contemporary math research, Springer/Elsevier without primary text. |
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## Tradition Classes
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| Key | Coverage |
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|-----|---------|
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| `islamic` | OpenITI / Athar / Sufi-mystical / Arabic-Persian sources |
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| `greek` | Greek-Hellenistic / Perseus / First1KGreek / Greek-Classical |
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| `vedic` | Vedic-Kerala / Sanskrit / raw_etexts / GRETIL |
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| `chinese` | East-Asian-Wasan / ctext / Kanseki / Japanese / Korean |
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| `math` | Pre-mathematical-substrate / Erdős / MathOverflow / methodology / failed-approaches / misattribution |
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## Counts
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| Tradition | Tier A | Tier B | Tier C | Total |
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|-----------|--------|--------|--------|-------|
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| chinese | 3 | 3 | 2 | 8 |
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| greek | 5 | 0 | 0 | 5 |
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| islamic | 0 | 0 | 0 | 0 |
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| math | 3 | 3 | 2 | 8 |
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| vedic | 0 | 0 | 0 | 0 |
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| **TOTAL** | **11** | **6** | **4** | **21** |
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## Labeling
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Labels are deterministic, derived from `provenance_chain` and `contamination_flags`
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using the callable function `label_provenance_tier(row)` in
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`pattern/scripts/provenance_tier_labeler.py` (Garman-Unified-Systems/abacus repo).
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UNKNOWN-tier rows are excluded from this dataset.
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## Split
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90/10 train/test, stratified by (tradition, tier).
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## Source
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ABACUS TEA corpus — `Garman-Unified-Systems/abacus` pattern/corpus/data/*.jsonl.
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All source texts are public domain or CC-BY-SA-3.0/4.0.
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## Phase 2 Gap Map
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See `_provenance_labels_v0_1_audit.md` in the source repo for cells under 50 / under 20 / empty.
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