| --- |
| license: apache-2.0 |
| task_categories: |
| - text-generation |
| language: |
| - en |
| tags: |
| - astrology |
| - kp-astrology |
| - krishnamurti-paddhati |
| - vedic-astrology |
| - sub-lord |
| pretty_name: KP System (Krishnamurti Paddhati) SFT Dataset |
| size_categories: |
| - 100K<n<1M |
| --- |
| |
| # KP System (Krishnamurti Paddhati) SFT Dataset |
|
|
| Sidereal Vedic chart plus KP's distinguishing sub-lord layer — each planet and the Ascendant get a sub-lord via proportional nakshatra subdivision. |
|
|
| | | | |
| |---|---| |
| | Total examples | 100000 | |
| | Train / Validation / Test | 89916 / 5104 / 4980 | |
| | Question types | 4 | |
| | Avg citations per example | 4.097 | |
| | Zero-citation examples | 0 | |
|
|
| ## Computation |
|
|
| Deterministic astronomy (pyswisseph, Lahiri sidereal) + a proportional-subdivision sub-lord formula. |
|
|
| ## Validation status — read before trusting this at scale |
|
|
| Sub-lord formula independently checked for internal consistency: the 9 proportional spans sum to exactly one nakshatra (13°20') with no gaps or overlaps, and produce exactly the 9 expected lords in the correct sequence across a fine-grained scan (see companion repo tests/test_kp_sublord.py). |
|
|
| ## Schema |
|
|
| | Field | Type | Description | |
| |---|---|---| |
| | `example_id` | string | `{synthetic_id}_{question_type}` | |
| | `synthetic_id` | string | ID of the underlying synthetic input | |
| | `system` | string | `"kp_system"` | |
| | `facts` | dict | Full computed output for this system (chart/pillars/numbers depending on system) | |
| | `retrieved_rules` | list[dict] | Rules/observations matched for this input | |
| | `question_type` | string | See distribution below | |
| | `user_question` | string | Synthetic user question | |
| | `response` | string | Grounded reading — every claim traces to `facts` or `retrieved_rules` | |
| | `citations` | list[string] | Which rules the response draws on | |
| | `source` | string | `"rule_matched"` for all rows in this version | |
|
|
| Question type distribution: `general_natal`: 25000, `career`: 25000, `marriage_timing`: 25000, `sub_lord_reading`: 25000 |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("YOUR_USERNAME/kp_system-sft") |
| print(ds) |
| |
| ex = ds["train"][0] |
| print(ex["user_question"]) |
| print(ex["response"]) |
| ``` |
|
|
| ## What this dataset does NOT claim |
|
|
| Like every dataset in this collection, this teaches a model to narrate a |
| correctly-computed KP System (Krishnamurti Paddhati) reading using its own traditional rules |
| faithfully and with citations. It does not, and cannot, contain any |
| ground truth about whether any prediction comes true — no such data |
| exists for any divination system. See the companion repo's top-level |
| README for the shared "what these datasets don't claim" statement that |
| applies across the whole collection. |
|
|
| ## Known limitations |
|
|
| - Uses Lahiri ayanamsa, not the KP (Krishnamurti) ayanamsa some strict KP practitioners prefer — a documented simplification, not a KP-specific correction. |
| - Only 1 level of sub-lord is computed (not the further sub-sub-lord some KP practice uses). |
| - No house-cusp sub-lords (KP's horary/timing technique often works from cusp sub-lords, not just planet sub-lords) — only planet and Ascendant sub-lords in this version. |
|
|
| ## Companion repo |
|
|
| Full generation pipeline (8 systems, shared scripts) — for regenerating |
| at larger scale or extending the rule set — is the companion GitHub repo |
| `astrology-datasets` (update this link once pushed). |
|
|
| ## License |
|
|
| Apache 2.0. All computed data is synthetic (no real people). Rule/effect |
| text is written in-house, paraphrasing widely known traditional |
| principles, not reproduced from any single copyrighted source. |
|
|
