| # AUGURY Training Data (text) |
|
|
| ShareGPT-format training data for the AUGURY text formatter (MiniCPM5-1B). |
| Each example: structured species/region/indicator data in the user turn → |
| conversational farmer-facing soil story in the assistant turn. The model learns |
| to *present given facts*, never to generate them. |
|
|
| ## Files |
|
|
| - `weeds_indicators_merged_train.jsonl` — 13,627 rows (regenerated 2026-08-11 |
| from database-merged.json; AU-balanced: 186/188 AU species covered) |
| - `weeds_indicators_merged_val.jsonl` — 1,514 rows |
| - `standalone_train.jsonl` / `standalone_val.jsonl` — 612/69 clean Q&A rows |
| (Path B reference; AU-heavy) |
| - `v3_function_calling/` — historical tool-calling format (1,522 rows; |
| superseded by the retrieval+formatter architecture, kept for reference) |
|
|
| ## Row anatomy |
|
|
| ``` |
| user: Species: Hesperis matronalis |
| Region: Europe |
| |
| Indicators: |
| - Moisture: strictly damp to wet. Strong indicator of poor drainage |
| - Soil pH: neutral. pH 6.0–7.5. ... |
| |
| assistant: Let's look at what Hesperis matronalis is saying about your soil. ... |
| ``` |
|
|
| ## Region balance (2026-08-11 regeneration) |
|
|
| Europe 13,446 · Australia 1,228 · UK 484 · refusal/no-region 84. |
| EU dominates by species count (2,263 Ellenberg species) — by design, every AU |
| species is fully represented with region-tagged examples. |
|
|
| ## License |
|
|
| CC-BY-4.0 (see LICENSE-DATA in the repo root for per-source provenance). |
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|
