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- client_v1_full_corpus_raw/part-00011.parquet +2 -2
- client_v1_full_corpus_raw/part-00012.parquet +3 -0
- client_v1_full_corpus_raw/part-00013.parquet +3 -0
- client_v1_full_corpus_raw/part-00014.parquet +3 -0
- client_v1_teacher_clean_lean/part-00004.parquet +2 -2
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README.md
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@@ -41,27 +41,27 @@ Several subsets under one dataset path. Pick the one that fits your use-case; re
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| Config | Rows | Schema | Best for |
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|---|---:|---|---|
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| `client_v1_full_corpus_raw` (default) | **
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| `client_v1_teacher_clean_raw` | **
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| `client_v1_teacher_clean_lean` | **
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| `client_v1_26b_raw` | **
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| `client_v1_26b_lean` | **
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```python
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from datasets import load_dataset
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# Default -- the full corpus, including failure modes
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full = load_dataset("chayuto/klondike-llm-decisions") #
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# The training-friendly subset (filtered, single teacher)
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clean_raw = load_dataset("chayuto/klondike-llm-decisions", "client_v1_teacher_clean_raw") #
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clean_lean = load_dataset("chayuto/klondike-llm-decisions", "client_v1_teacher_clean_lean") #
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# The 26B MoE cohort on its own, for comparison
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moe_26b = load_dataset("chayuto/klondike-llm-decisions", "client_v1_26b_raw") #
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```
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The `client_v1_26b_*` configs are a **behavioural-comparison cohort**: all
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### Filtering by model
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Collected via an external client-side harness (closed-source) running the Klondike app and capturing every teacher-advisor call. Each game seeds a reproducible deal. Rows are deduplicated by their UUIDv7 `id` across re-exports; nothing is discarded.
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- **Collection window**: 2026-05-17 to 2026-06-
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- **Sessions**:
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- **Models**: `gemma-4-31b-it` (
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- **Schema tiers**: current (
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### Planned: `server_v1_*` configs
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| Move type | Count | Share |
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|---|---:|---:|
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| `draw_card` |
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| `tableau_to_tableau` |
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| `tableau_to_foundation` |
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| `discard_to_tableau` |
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| `discard_to_foundation` |
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| `recycle_stock` |
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## Failure modes are a feature of `*_full_corpus_raw`, not a bug
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| Config | Rows | Schema | Best for |
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|---|---:|---|---|
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| `client_v1_full_corpus_raw` (default) | **28904** | full interaction (prompt + rawResponse + decision blob + call metadata) | failure-mode research, replay, end-to-end audit |
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| `client_v1_teacher_clean_raw` | **12021** | full interaction | fine-tuning, honest training-quality subset (single teacher model, current schema, non-stalled) |
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| `client_v1_teacher_clean_lean` | **12021** | derived per-decision (flat schema; see *Fields*) | quick analytics, lightweight loading, headline-statistics work |
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| `client_v1_26b_raw` | **1949** | full interaction | comparison: the `gemma-4-26b-a4b-it` MoE cohort alone (current schema, stalled decisions kept, 1 winning session) |
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| `client_v1_26b_lean` | **1949** | derived per-decision (flat schema) | comparison analytics: the MoE on matched game states |
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```python
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from datasets import load_dataset
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# Default -- the full corpus, including failure modes
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full = load_dataset("chayuto/klondike-llm-decisions") # 28904 rows
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# The training-friendly subset (filtered, single teacher)
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clean_raw = load_dataset("chayuto/klondike-llm-decisions", "client_v1_teacher_clean_raw") # 12021 rows
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clean_lean = load_dataset("chayuto/klondike-llm-decisions", "client_v1_teacher_clean_lean") # 12021 rows, flat schema
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# The 26B MoE cohort on its own, for comparison
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moe_26b = load_dataset("chayuto/klondike-llm-decisions", "client_v1_26b_raw") # 1949 rows
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```
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The `client_v1_26b_*` configs are a **behavioural-comparison cohort**: all 1949 current-schema decisions from the `gemma-4-26b-a4b-it` MoE, with stalled/loop decisions deliberately kept (1221 of 1949 sit inside a stall, where the `teacher_clean` configs drop such rows). The corpus now holds 1 winning session for the 26B MoE; the cohort still centres on failure-mode contrast (stalled/loop decisions kept), so treat it as a behavioural contrast set more than as additional training data.
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### Filtering by model
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Collected via an external client-side harness (closed-source) running the Klondike app and capturing every teacher-advisor call. Each game seeds a reproducible deal. Rows are deduplicated by their UUIDv7 `id` across re-exports; nothing is discarded.
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- **Collection window**: 2026-05-17 to 2026-06-26
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- **Sessions**: 161 distinct game sessions
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- **Models**: `gemma-4-31b-it` (23235), `gemini-3.1-flash-lite` (2692), `gemma-4-26b-a4b-it` (1949), `MiniMax-M3` (1028)
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- **Schema tiers**: current (28533), legacy (371)
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### Planned: `server_v1_*` configs
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| Move type | Count | Share |
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|---|---:|---:|
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| `draw_card` | 13545 | 47% |
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| `tableau_to_tableau` | 8874 | 31% |
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| `tableau_to_foundation` | 2642 | 9% |
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| `discard_to_tableau` | 1553 | 5% |
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| `discard_to_foundation` | 1159 | 4% |
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| `recycle_stock` | 1131 | 4% |
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## Failure modes are a feature of `*_full_corpus_raw`, not a bug
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client_v1_26b_lean/part-00000.parquet
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