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README.md

@@ -24,7 +24,7 @@ The per-experiment datasets remain the authoritative record of their own methods
 figures and caveats. **This is the union view, not a replacement**, and it deliberately
 carries no analysis of its own.
 
-- `extrinsic_evaluations.csv` / `.parquet` — **9,183 rows**, one per measurement
+- `extrinsic_evaluations.csv` / `.parquet` — **9,675 rows**, one per measurement
 - `build_manifest.json` — per-source row counts, fetch status, dedupe and conflict counts
 - `build_extrinsic.py` — the build script; re-runnable and idempotent
 
@@ -48,7 +48,7 @@ The evidence for that instruction is in this file — see *Supported claims* bel
 
 ### Every accuracy row has a chance level
 
-`chance` is populated for all 1,747 `metric_kind == "accuracy"` rows, in the same units as
+`chance` is populated for all 2,215 `metric_kind == "accuracy"` rows, in the same units as
 `value`. It is **empty** for likelihood rows (where chance is meaningless) and for
 `benchmark_score` rows, which are **suite aggregates over heterogeneous tasks** — MergeBench's
 per-domain scores, and the `mean_of_benchmarks` rows — where no single chance level is defined.
@@ -93,6 +93,7 @@ That is why those rows are labelled `benchmark_score` and not `accuracy`.
 | `delta_floor_nats_per_byte` | likelihood_delta | nats/byte vs. the better parent's floor |
 | `lmc_barrier_nats_per_token` | likelihood_delta | nats/token |
 | `harmfulness_score` | other | score 0–1 (**not** an accuracy) |
+| `bliss_score` | other | BLiSS sub-score (`RP_at_0`, `NGS`, `CPS`, `LP`, `SO`, …) — **not** an accuracy |
 
 Nats per **UTF-8 byte** appears wherever two parents use different tokenizers, because
 nats/token is not comparable across them. This is the source's choice, preserved here.
@@ -108,19 +109,22 @@ nats/token is not comparable across them. This is the source's choice, preserved
 | [`suchirsalhan/goldfish-crosslingual-cka`](https://huggingface.co/datasets/suchirsalhan/goldfish-crosslingual-cka) | 609 | held-out NLL for every Goldfish merged and jointly-trained model. **CKA columns are deliberately excluded** — they are an intrinsic representation-similarity diagnostic, not an extrinsic evaluation |
 | [`Mergeability-2/mergebench-property-sweep`](https://huggingface.co/datasets/Mergeability-2/mergebench-property-sweep) | 576 | MergeBench's **published** outcomes: 8 families × 9 methods × 8 task columns |
 | [`Mergeability-2/aim-activation-informed-merging`](https://huggingface.co/datasets/Mergeability-2/aim-activation-informed-merging) | 304 | the AIM paired panel's published benchmark outcomes, with and without AIM, over 20 matched checkpoints |
+| [`Mergeability-2/beetle-merge-eval`](https://huggingface.co/datasets/Mergeability-2/beetle-merge-eval) | 492 | Beetle merge evaluations — BLiMP / MultiBLiMP / zhoBLiMP / BLiSS across humanscale and zoo-language merges, their parents, and the jointly-trained bilingual ceilings. **Still being produced at build time**, so this is partial coverage, not the final set |
 | [`Mergeability-2/merge-accuracy`](https://huggingface.co/datasets/Mergeability-2/merge-accuracy) | 234 | chat-vector accuracies on real Llama-3.1-8B forks (Belebele eng+target, ARC-easy, IFEval), the symmetry-group controls, and the pythia × Zh-Pythia cross-group pair |
 
 ### Not yet included
 
 | dataset | status |
 |---|---|
-| `Mergeability-2/beetle-merge-eval` | repo **exists but was still empty** at build time — it ships only `.gitattributes`, no result files. Contributed 0 rows |
 | `Mergeability-2/crossarch-accuracy` | **not yet created** at build time (HTTP 404). Contributed 0 rows |
 
-Both were still being produced when this file was built. `build_extrinsic.py` already
-registers them and skips them cleanly; **re-running it once they publish will fold them
-in with no code change**. Any row that arrives from an in-progress source is prefixed
-`IN PROGRESS -- …` in `notes`. There are currently no such rows.
+Still being produced when this file was built. `build_extrinsic.py` registers it and skips
+it cleanly; **re-running once it publishes folds it in with no code change**.
+
+`Mergeability-2/beetle-merge-eval` **is** included, but it was still being written during the
+build — its long table grew from 419 to 493 rows while this file was being assembled. Treat its
+492 rows as partial coverage and re-run the builder for the complete set. Its
+`coverage_by_merge.csv` records which merges are `complete`, `partial` or `not evaluated`.
 
 ### How the rows were deduplicated
 
@@ -230,7 +234,9 @@ the noise band from re-splitting the same benchmarks within one arm.
   build time. The checkpoint-distance rule — keep souped checkpoints within about half a decade
   of training steps — is measured in **nats/token, not benchmark accuracy**, and given the
   dissociation above it must not be assumed to transfer.
-- **Beetle merge evaluations.** The dataset repo existed but was still empty at build time; 0 rows.
+- **Complete Beetle coverage.** 492 rows are in, but the source was mid-run: of the merges it
+  tracks, several are still `not evaluated`. Read `coverage_by_merge.csv` in the source before
+  quoting a Beetle aggregate.
 - **A practitioner diagnostic.** The scientific claim (merge failure can arise from how a
   function is represented, and that is measurable) is well supported. The practitioner claim
   (compute this before merging and it tells you what to do) is **not supported** at the
@@ -250,7 +256,7 @@ python3 build_extrinsic.py --push     # rebuild and publish
 
 Idempotent: it re-fetches each source, skips any that 404, rebuilds every row from scratch,
 re-runs the dedupe, and refuses to emit an accuracy row without a chance level. Re-run it when
-`beetle-merge-eval` and `crossarch-accuracy` publish.
+`crossarch-accuracy` publishes, and again once `beetle-merge-eval` finishes its run.
 
 ---
 
@@ -263,6 +269,7 @@ re-runs the dedupe, and refuses to emit an accuracy row without a chance level.
 | crossarch_checkpoint_merge | 0 | 0 | 0 | 657 | 106 | 0 | **763** |
 | goldfish_crosslingual | 0 | 0 | 0 | 609 | 0 | 0 | **609** |
 | mergebench_published_outcomes | 0 | 0 | 576 | 0 | 0 | 0 | **576** |
+| beetle_merge_eval | 468 | 0 | 0 | 0 | 0 | 24 | **492** |
 | crossarch_transport_merge | 0 | 0 | 0 | 320 | 0 | 0 | **320** |
 | goldfish_bilingual_merge | 68 | 56 | 0 | 84 | 108 | 0 | **316** |
 | aim_published_outcomes | 264 | 0 | 0 | 0 | 0 | 40 | **304** |
@@ -274,9 +281,9 @@ re-runs the dedupe, and refuses to emit an accuracy row without a chance level.
 | polypythia_ablation | 0 | 0 | 0 | 36 | 42 | 0 | **78** |
 | crossarch_native_merge | 0 | 0 | 0 | 10 | 4 | 0 | **14** |
 | crossarch_1b_native | 0 | 0 | 0 | 5 | 0 | 0 | **5** |
-| **All** | **1747** | **533** | **586** | **3764** | **2513** | **40** | **9183** |
+| **All** | **2215** | **533** | **586** | **3764** | **2513** | **64** | **9675** |
 
-3,342 distinct models. By role: 8,396 merged · 293 parent · 220 jointly_trained · 210 control · 64 reference.
+3,472 distinct models. By role: 8,698 merged · 323 parent · 248 jointly_trained · 210 control · 196 reference.
 
 ## Example