| --- |
| license: cc-by-4.0 |
| language: [en] |
| tags: [interpretability, activation-oracles, knowledge-cutoff, percepts, nla] |
| size_categories: [100K<n<1M] |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train.parquet |
| - split: heldout_entity |
| path: data/heldout_entity.parquet |
| - split: test |
| path: data/test.parquet |
| --- |
| |
| # Chronopercept (merged v1 + v2 + v3) |
|
|
| Union of [chronopercept-v1](https://huggingface.co/datasets/cds-jb/chronopercept-v1) (4,547 curated, |
| twin-certified scenes), [chronopercept-v2](https://huggingface.co/datasets/cds-jb/chronopercept-v2) |
| (116,452 generated scenes), and chronopercept-v3 ([cds-jb/chronopercept-v3](https://huggingface.co/datasets/cds-jb/chronopercept-v3), |
| 660,223 generated scenes): **781,222 rows, 101,605 entities, 16 L0 task types |
| (14 generated mechanisms + 2 v1 control classes), 903 L1 domains.** |
| Splits are ENTITY-disjoint across the whole union — colliding entities adopt the earlier |
| version's split assignment (verified 0 entities span splits). |
|
|
| Each scene is 1–2 sentences of plain pre-1931 English in which an entity appears innocently: |
| a reader in 1930 finds the text unremarkable, while a well-informed modern reader perceives a |
| decisive second meaning (the "percept") that requires post-1931 knowledge. |
|
|
| ## v3 additions (2026-08-08) |
|
|
| - **5 new L0 mechanisms** (Fable-agent taxonomy expansion): `retrospective_unmasking`, |
| `fateful_conjunction`, `standing_mystery_resolved`, `latent_utility`, `legality_flip`. |
| - **625 new L1 domains** across all 14 generated L0s (Fable agents, each domain proven mineable |
| with 3 real examples; global dedup; capped at 60 L1/L0). |
| - **`solvable_from_year` column (all rows)** — the smallest year Y such that a well-informed reader |
| in year Y could already know the fact(s) needed to perceive the percept. Judged per-scene at QC |
| for v3 rows and backfilled for all v1/v2 rows via a dedicated Sonnet 5 batch pass. |
| `solvable_pre1931=True` (7,649 rows, ~1%) flags rows judged solvable before 1931 — these violate |
| the corpus premise and should be filtered for training. |
| - **New entity-verification gate**: mined entities are batch-judged (real? evidence anchor? |
| solvable_from_year >= 1931?) before scene generation; 85% pass rate. `evidence` column carries |
| the anchor fact for v3 rows. |
| - **Decade flattening**: entity mining was decade-steered (2 of 6 calls per domain target |
| 1955-1990 / 1990-2025); merged median `solvable_from_year` is 1960 (10th-90th pct: 1935-2000), |
| vs. the strong 1931-1945 skew of v1/v2. |
| - Scenes: rotating per-request few-shot from v1 (v2 used 2 fixed examples). QC keep rate 94%. |
|
|
|  |
|
|
| Columns: `scene`, `gold_percept` (modern-reader insight), `gold_secret` (the insight re-expressed |
| within a strict 1930 knowledge horizon), `secret_atoms`, `implication_class`, `intended_valence`, |
| `L0`/`L1`/`L2_entity`, `split`, `source` (v1|v2|v3), `solvable_from_year`, `solvable_pre1931`, |
| `twin_certified` (True only for v1 rows — generated rows are QC-screened but not certified against |
| the talkie twins; invented entities may carry no real knowledge gap), plus `gloss`/`year` (v2/v3) |
| and `evidence` (v3). |
|
|
| Generation pipeline: `code/chrono_v3_gen.py` (taxonomy merge from Fable-agent JSON, entity mining |
| with per-pair avoid-lists, verification gate, scene generation, QC, backfill, assemble, publish — |
| Sonnet 5 Message Batches throughout). |
|
|
