Realign 431 cells to the corrected loaders, retire 37 misaligned cells and rename the restricted first-token entropies

README.md

@@ -228,7 +228,7 @@ Start from `tags.parquet`: one row per (`tag`, `predictor`, file), with the
 model, method, configuration, storage class, layer and provenance of every
 cell decoded, so a cell can be found by model, method and configuration.
 
-- 2,596 cells across 58 corpora, 280,036,007 scalar rows
+- 2,749 cells across 58 corpora, 288,681,075 scalar rows
 - 25 methods, 26 models and frequency tables
 
 ## Layout
@@ -254,40 +254,40 @@ cell decoded, so a cell can be found by model, method and configuration.
 
 ## Layers
 
-Layer 1 holds the predictors REPLICA computes under its own conventions. Layer 2 holds a released defect reconstructed for one study; the `study` column of the index names it. Cells published before the layer field existed carry the layer of their method.
+Layer 1 holds the predictors REPLICA computes under its own conventions. Layer 2 holds a released defect reconstructed for one study; the `study` column of the index names it. A cell that records no layer carries the layer of its method.
 
 | `layer` | cells |
 |---|---|
-| 1 | 2507 |
-| 2 | 63 |
-| null | 26 |
+| 1 | 2672 |
+| 2 | 65 |
+| null | 12 |
 
 | `method` | `study` | cells |
 |---|---|---|
 | `continuation_entropy_buggy` | `giulianelli2024generalized` | 1 |
 | `modelblocks_surprisal` | `clark2025wordentropy` | 28 |
-| `wordsprobability_surprisal_buggy` | `pimentel2024probability` | 34 |
+| `wordsprobability_surprisal_buggy` | `pimentel2024probability` | 36 |
 
 ## Storage classes and units
 
-A `positional` estimator conditions on a prefix ending at a token position and returns a value for that position; its cell is stored per token under `tokens/` and any coarser unit derives from the token table. A `unit_bound` estimator takes the unit as an input, so its cell is stored at the unit it was computed for and `unit_rule` names the boundary rule the estimator used (`whitespace_continuation` is the model's own notion of a word: a token sequence that continues until the next whitespace-initial token). `unit` is the grain of the rows: `words`, `tokens` or `characters`. A carried cell whose method the compute driver no longer accepts has null storage columns.
+A `positional` estimator conditions on a prefix ending at a token position and returns a value for that position; its cell is stored per token under `tokens/` and any coarser unit derives from the token table. A `unit_bound` estimator takes the unit as an input, so its cell is stored at the unit it was computed for and `unit_rule` names the boundary rule the estimator used (`whitespace_continuation` is the model's own notion of a word: a token sequence that continues until the next whitespace-initial token). `unit` is the grain of the rows: `words`, `tokens` or `characters`. A carried cell whose method the compute driver does not accept has null storage columns.
 
 | `storage_class` | `unit` | cells |
 |---|---|---|
-| null | words | 26 |
-| positional | characters | 15 |
-| positional | tokens | 429 |
-| positional | words | 1253 |
-| unit_bound | words | 873 |
+| null | words | 12 |
+| positional | characters | 14 |
+| positional | tokens | 595 |
+| positional | words | 1259 |
+| unit_bound | words | 869 |
 
 | `unit_rule` | cells |
 |---|---|
 | `spacy_sentence` | 26 |
-| `whitespace_continuation` | 406 |
+| `whitespace_continuation` | 430 |
 
 ## Word values derived from token tables
 
-410 word cells are aggregated from a token table of the same model and corpus; `derivation_source` names that table's tag and the cell's manifest records the aggregation. A word takes the tokens whose spans nest inside its span; a token that would have to be split, dropped or interpolated stops the derivation. Log probabilities sum over the word's tokens and the summed value is also stored as `surprisal` in bits; an entropy or distance takes the value at the word's first token. A corpus without word spacing derives word surprisal from the `char_beam` character table instead.
+576 word cells are aggregated from a token table of the same model and corpus; `derivation_source` names that table's tag and the cell's manifest records the aggregation. A word takes the tokens whose spans nest inside its span; a token that would have to be split, dropped or interpolated stops the derivation. Log probabilities sum over the word's tokens and the summed value is also stored as `surprisal` in bits; an entropy or distance takes the value at the word's first token. A corpus without word spacing derives word surprisal from the `char_beam` character table instead.
 
 | `method` | rule | derived cells |
 |---|---|---|
@@ -298,7 +298,7 @@ A `positional` estimator conditions on a prefix ending at a token position and r
 | `responsivity` | first | 36 |
 | `similarity_surprisal_contextual` | sum | 2 |
 | `similarity_surprisal_noncontextual` | sum | 10 |
-| `surprisal` | sum | 60 |
+| `surprisal` | sum | 226 |
 | `token_renyi_entropy` | first | 95 |
 
 ## Row schemas
@@ -353,101 +353,67 @@ Each recompute wave was checked table by table against the corpus loader's unit
 | `verification/meco-nlp-row.json` | pass | 4 |
 | `verification/owt-unigram.json` | check | 2 |
 | `verification/owt-unigram.json` | pass | 1 |
-| `verification/wave1-tokens.json` | check | 406 |
+| `verification/wave1-tokens.json` | check | 402 |
 | `verification/wave1-tokens.json` | pass | 4 |
-| `verification/wave2.json` | check | 272 |
+| `verification/wave2.json` | check | 209 |
 | `verification/wave2.json` | pass | 631 |
 
-| flag | tables |
-|---|---|
-| manifest identity lacks storage_class | 405 |
-| manifest layer is None | 405 |
-| words empty or containing whitespace | 279 |
-| context scope story (layer 1 conditions on the whole stimulus) | 49 |
-| BOS disabled | 42 |
-| context scope story | 28 |
-| context scope sentence (layer 1 conditions on the whole stimulus) | 14 |
-| unit characters | 9 |
-| manifest lacks the window rule | 8 |
-| manifest sampling block does not record positions: all | 8 |
-| manifest sampling block records no seed | 8 |
-| context scope sentence | 7 |
-| token spans differ from the independent tokenization | 7 |
-| NaN beyond the first token | 7 |
-| NaN beyond the first word | 4 |
-| unexpected producer commit | 2 |
-| non-finite values | 2 |
-| independent per-token recomputation differs by 0.0017 | 1 |
-| stimuli whose stored words differ from re-aggregating gpt2_simadj_surprisal_noncontextual_tokens_sbsat.pkl | 1 |
-| stimuli whose stored words differ from re-aggregating gpt2_simadj_surprisal_noncontextual_tokens_zuco1.pkl | 1 |
-
 ## Coverage and gaps
 
-`coverage.parquet` has one row per planned (method, model, corpus, unit) table and one per produced table no plan names. `status` is `exported` when the table comes from the latest release, `carried` when the store ships it from an earlier one, `quarantined` when the compute driver refused to publish it (a stimulus failed or the values failed an audit) and the store has no earlier table, and `absent` when the store has none. `reason_class` is the plan's class for the table, one of `complete`, `excluded_by_decision`, `expected_refusal`, `held_decision`, `known_gap_beam_empty`, `missing`. `expected_refusal` is a whitespace-word estimator on a corpus whose words are not the model's words, and `known_gap_beam_empty` is a character beam that emptied on a stimulus. `detail` holds the failure log of a quarantined table or the command of an absent one.
+`coverage.parquet` has one row per planned (method, model, corpus, unit) table and one per produced table no plan names. `status` is `exported` when the table comes from the latest release, `carried` when the store ships it from an earlier one, `quarantined` when the compute driver refused to publish it (a stimulus failed or the values failed an audit) and the store has no earlier table, `undefined` when the method's measure is not defined on the corpus's units (the compute driver's applicability contract, `replica.compute.units.applicability`), and `absent` when the store has none. `reason_class` is the plan's class for the table, one of . `detail` holds the failure log of a quarantined table, the reason of an undefined one or the command of an absent one.
 
 | `status` | tables |
 |---|---|
-| absent | 1 |
-| carried | 35 |
-| exported | 1322 |
-| quarantined | 5 |
+| exported | 431 |
+| quarantined | 4 |
 
 | `status` | `reason_class` | tables |
 |---|---|---|
-| absent | held_decision | 1 |
-| carried | excluded_by_decision | 1 |
-| carried | expected_refusal | 6 |
-| carried | held_decision | 24 |
-| carried | known_gap_beam_empty | 2 |
-| carried | missing | 2 |
-| exported | complete | 863 |
-| exported | expected_refusal | 2 |
-| exported | not planned | 457 |
-| quarantined | held_decision | 5 |
+| exported | not planned | 431 |
+| quarantined | not planned | 4 |
 
 | quarantined `method` | tables |
 |---|---|
+| `char_beam` | 2 |
 | `modelblocks_surprisal` | 1 |
-| `wordsprobability_surprisal` | 2 |
-| `wordsprobability_surprisal_buggy` | 2 |
+| `word_information_value` | 1 |
 
 ## What changed in this release
 
-Built on the published store at commit `3ecb7c92de0e312b0d543259ce591e6552eabf87`; every published cell this release does not replace is carried over unchanged.
+Built on the published store at commit `7536824a1d87bdf98c368433ae9d378745829299`; every published cell this release does not replace is carried over unchanged.
 
 | wave | cells exported |
 |---|---|
-| meco-nlp-row | 4 |
-| owt-unigram | 3 |
-| wave1-tokens | 410 |
-| wave2 | 903 |
-
-- 1320 published cells replaced by a recomputed table of the same tag
-- 0 published files deleted because their cell was recomputed without the array they held
-- 1914 files written
+| compute_realign_20261006 | 307 |
+| compute_realign_20261009 | 124 |
+
+- 241 published cells replaced by a recomputed table of the same tag
+- 139 published files deleted because their cell was recomputed without the array they held
+- 712 files written
 - new: `tokens/` (token-grain tables), `characters/` (character-grain tables), `coverage.parquet`, `verification/`, and the storage columns of the word tables and the index
-- array keys without a store folder, left in the pickles only: `orth_similarity_samples`, `pos_match_samples`, `sampled_words`, `similarity_samples_tokens`
+- 37 published cells retired: their rows indexed other units than their corpus loader produces
 
-### Carried cells on an older unit grid
+### Cells retired from the store
 
-126 cells this release carries were computed against an earlier version of their corpus, so their `stimulus_id` and `unit_index` do not line up with the cells this release stages into the same table. Join them to a recomputed predictor only after checking the units match. `tags.parquet` gives each cell's `n_stimuli` and `n_rows`, and a recomputed cell of the same corpus gives the current shape.
+37 published cells were computed against an earlier version of their corpus: their rows index other units than the loader produces, by count, position or unit string. This release removes their rows, index entries and manifests; `coverage.parquet` lists each as `absent` until it is recomputed.
 
-| table | cells on an older grid |
+| corpus | cells retired |
 |---|---|
-| `dundee.parquet` | 18 |
-| `meco_de.parquet` | 2 |
-| `meco_ee.parquet` | 6 |
-| `meco_fi.parquet` | 5 |
-| `meco_gr.parquet` | 5 |
-| `meco_it.parquet` | 5 |
-| `meco_l1_w2_ch_s.parquet` | 6 |
-| `meco_l1_w2_ch_t.parquet` | 6 |
-| `meco_l2_w2.parquet` | 10 |
-| `meco_tr.parquet` | 5 |
-| `onestop.parquet` | 16 |
-| `provo.parquet` | 14 |
-| `sbsat.parquet` | 20 |
-| `szewczyk_n400.parquet` | 8 |
+| `celer` | 1 |
+| `dundee` | 1 |
+| `geco` | 1 |
+| `meco_de` | 3 |
+| `meco_ee` | 3 |
+| `meco_fi` | 2 |
+| `meco_gr` | 2 |
+| `meco_it` | 2 |
+| `meco_ko` | 3 |
+| `meco_l1_w2_ch_s` | 6 |
+| `meco_l1_w2_ch_t` | 6 |
+| `meco_l2_w2` | 2 |
+| `meco_tr` | 2 |
+| `onestop` | 2 |
+| `sbsat` | 1 |
 
 ## Loading
 

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manifests/EleutherAI_pythia-1.4b-deduped_surprisal_szewczyk_federmeier2022_n400.json

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manifests/EleutherAI_pythia-1.4b-deduped_surprisal_tokens_federmeier2007_n400.json

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manifests/EleutherAI_pythia-1.4b-deduped_surprisal_tokens_meco_l2_w2.json

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manifests/EleutherAI_pythia-1.4b-deduped_surprisal_tokens_natural_stories_maze.json

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manifests/EleutherAI_pythia-1.4b-deduped_surprisal_tokens_onestop.json

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manifests/EleutherAI_pythia-1.4b-deduped_surprisal_tokens_provo.json

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manifests/EleutherAI_pythia-1.4b-deduped_surprisal_tokens_sbsat.json

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manifests/EleutherAI_pythia-1.4b-deduped_surprisal_tokens_story_sbsat.json

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manifests/EleutherAI_pythia-1.4b-deduped_surprisal_tokens_szewczyk_federmeier2022_n400.json

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manifests/EleutherAI_pythia-1.4b-deduped_surprisal_tokens_szewczyk_n400.json

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manifests/EleutherAI_pythia-1.4b-deduped_surprisal_tokens_wlotko_federmeier2012_n400.json

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manifests/EleutherAI_pythia-1.4b-deduped_surprisal_tokens_zuco1.json

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manifests/EleutherAI_pythia-1.4b-deduped_surprisal_wlotko_federmeier2012_n400.json

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manifests/EleutherAI_pythia-1.4b-deduped_surprisal_zuco1.json

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manifests/EleutherAI_pythia-14m_surprisal_dundee.json

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