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docs: add model card with tier definitions and counts

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  1. README.md +73 -32
README.md CHANGED
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  ---
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- dataset_info:
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- features:
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- - name: tea_id
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- dtype: string
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- - name: tradition
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- dtype: string
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- - name: tier
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- dtype: string
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- - name: text
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- dtype: string
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- - name: provenance_chain
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- dtype: string
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- - name: contamination_flags
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- list: string
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- - name: label
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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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  ---
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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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+
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+ # ABACUS Provenance Trainset v0.1
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+
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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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+
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+ ## Purpose
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+
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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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+
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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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+
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+ ## Tradition Classes
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+
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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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+
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+ ## Counts
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+
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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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+
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+ ## Labeling
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+
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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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+
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+ UNKNOWN-tier rows are excluded from this dataset.
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+
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+ ## Split
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+
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+ 90/10 train/test, stratified by (tradition, tier).
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+
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+ ## Source
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+
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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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+
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+ ## Phase 2 Gap Map
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+
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+ See `_provenance_labels_v0_1_audit.md` in the source repo for cells under 50 / under 20 / empty.