Add the four remaining end-of-text mGPT recomputes (three CELER cells, Dundee MC word entropy alpha 0.5) and retire 14 no-BOS token tables

README.md

@@ -224,7 +224,7 @@ 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.
 
-- 2,500 cells across 58 corpora, 233,424,622 scalar rows
+- 2,490 cells across 58 corpora, 234,509,893 scalar rows
 - 24 methods, 26 identified models and frequency tables
 
 ## Layout

celer.parquet

@@ -1,3 +1,3 @@
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+size 142970341

cont_entropy_samples/ai-forever_mGPT_cont_entropy_N512_L5_s0_tokens_celer.parquet

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coverage.parquet

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+oid sha256:2bdd6a2cfe820b764995603613559cce3f58173bba66312e2eda9444e362dce7
+size 2582

dundee.parquet

@@ -1,3 +1,3 @@
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+size 34626499

history.parquet

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-size 37476
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+size 37518

manifests/{ai-forever_mGPT_surprisal_tokens_nobos_meco_gr.json → ai-forever_mGPT_cont_entropy_N512_L5_s0_tokens_celer.json}

@@ -1,16 +1,18 @@
 {
   "identity": {
     "schema_version": 1,
-    "method": "surprisal",
+    "method": "continuation_entropy",
+    "storage_class": "positional",
+    "layer": 1,
     "options": {
       "model_id": "ai-forever/mGPT",
       "beam_width": 5,
-      "n_samples": 64,
-      "max_tokens": 10,
+      "n_samples": 512,
+      "max_tokens": 5,
       "alpha": 1.0,
-      "seed": null,
-      "add_bos": false,
-      "dataset_language": "el",
+      "seed": 0,
+      "add_bos": true,
+      "dataset_language": "en",
       "language_override": null,
       "chunk_size": null,
       "word_starters": [],
@@ -25,7 +27,7 @@
     },
     "model": {
       "source": "ai-forever/mGPT",
-      "revision": null,
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       "sha256": "36faadfd737c580e4d1d02f21e6b9ae4a429237a23d34b558694c9a059494c04",
       "files": [
         "config.json",
@@ -35,14 +37,22 @@
         "tokenizer_config.json",
         "vocab.json"
       ],
-      "requested_revision": null
+      "start": {
+        "ids": [
+          5
+        ],
+        "tokens": [
+          "<|endoftext|>"
+        ],
+        "basis": "override"
+      }
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+    "corpus_sha256": "7ec1058e5169feed00e160622998671316bba0f47990e35c048f55e66e65fabf",
+    "n_stimuli": 28535,
+    "source_sha256": "89260a2fb0825fc83a6d71aa62274306d4cdc92da5fd703bfde302786758643c",
     "versions": {
       "python": "3.12.13",
-      "replica": "0.0.1",
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       "numpy": "2.4.4",
       "torch": "2.11.0",
       "transformers": "4.57.6",
@@ -52,22 +62,48 @@
       "genlm-bytes": "0.2.0"
     },
     "units": {
-      "log_p_observed": "nats"
+      "continuation_entropy": "bits",
+      "log_p_samples_nats": "nats"
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-  "payload_sha256": "159f5e1c1c528a97ed3e28a34b1e46c180b8afcfa3184b4c695d3ecab176216a",
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-    "device": "NVIDIA TITAN RTX",
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+    "code_dirty": null,
+    "device": "NVIDIA A100-SXM4-80GB",
     "model_device": "cuda:0",
     "cuda": "13.0",
-    "computed_at": "2026-09-19T18:37:48+00:00"
+    "computed_at": "2026-10-29T22:36:53+00:00"
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+    "rule": "half_windows",
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+  "sampling": {
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+    "seed": 0,
+    "seeding": "per stimulus from the seed, the model digest and the text; uniforms keyed by token position and sample index",
+    "scheme": "model-bundle-v1",
+    "chunk_size": null
+  },
+  "audit": {
+    "hard_issues": [],
+    "soft_issues": [
+      "mean_outlier"
+    ],
+    "examples": {
+      "mean_outlier": [
+        "celer_en-universal-train_conllu_37988: mean=16.98 corpus_mean=28.14 |\u0394|=11.17 (>5.0sigma=10.27)",
+        "celer_en-universal-dev_conllu_151: mean=17.75 corpus_mean=28.14 |\u0394|=10.40 (>5.0sigma=10.27)",
+        "celer_en-universal-train_conllu_31032: mean=14.76 corpus_mean=28.14 |\u0394|=13.39 (>5.0sigma=10.27)",
+        "celer_en-universal-train_conllu_18293: mean=17.78 corpus_mean=28.14 |\u0394|=10.36 (>5.0sigma=10.27)",
+        "celer_en-universal-train_conllu_24122: mean=17.40 corpus_mean=28.14 |\u0394|=10.74 (>5.0sigma=10.27)"
+      ]
+    },
+    "failed_stimuli": 0,
+    "missing_stimuli": 0
   }
 }

manifests/{ai-forever_mGPT_surprisal_tokens_nobos_meco_fi.json → ai-forever_mGPT_mcword_entropy_N512_M20_a0.5_s0_celer.json}

@@ -1,22 +1,24 @@
 {
   "identity": {
     "schema_version": 1,
-    "method": "surprisal",
+    "method": "mc_word_entropy",
+    "storage_class": "unit_bound",
+    "layer": 1,
     "options": {
       "model_id": "ai-forever/mGPT",
       "beam_width": 5,
-      "n_samples": 64,
-      "max_tokens": 10,
-      "alpha": 1.0,
-      "seed": null,
-      "add_bos": false,
-      "dataset_language": "fi",
+      "n_samples": 512,
+      "max_tokens": 20,
+      "alpha": 0.5,
+      "seed": 0,
+      "add_bos": true,
+      "dataset_language": "en",
       "language_override": null,
       "chunk_size": null,
       "word_starters": [],
       "top_p": 0.9,
       "context_scope": "stimulus",
-      "unit": "tokens",
+      "unit": "words",
       "window_policy": "reference",
       "segmentation": "whitespace",
       "model_revision": null,
@@ -25,7 +27,7 @@
     },
     "model": {
       "source": "ai-forever/mGPT",
-      "revision": null,
+      "revision": "40897bd7c8b47a76802c411108ca6220438b8b40",
       "sha256": "36faadfd737c580e4d1d02f21e6b9ae4a429237a23d34b558694c9a059494c04",
       "files": [
         "config.json",
@@ -35,14 +37,22 @@
         "tokenizer_config.json",
         "vocab.json"
       ],
-      "requested_revision": null
+      "start": {
+        "ids": [
+          5
+        ],
+        "tokens": [
+          "<|endoftext|>"
+        ],
+        "basis": "override"
+      }
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-    "source_sha256": "e3087b24289bd32731ed80f7be03f11aa7b58141df18e9788a9589380148c008",
+    "corpus_sha256": "7ec1058e5169feed00e160622998671316bba0f47990e35c048f55e66e65fabf",
+    "n_stimuli": 28535,
+    "source_sha256": "89260a2fb0825fc83a6d71aa62274306d4cdc92da5fd703bfde302786758643c",
     "versions": {
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       "torch": "2.11.0",
       "transformers": "4.57.6",
@@ -51,23 +61,34 @@
       "wordsprobability": "0.17",
       "genlm-bytes": "0.2.0"
     },
-    "units": {
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-    }
+    "unit_rule": "whitespace_continuation",
+    "unit_layer": "words"
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-    "device": "NVIDIA TITAN RTX",
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+    "code_dirty": null,
+    "device": "NVIDIA A100-SXM4-80GB",
     "model_device": "cuda:0",
     "cuda": "13.0",
-    "computed_at": "2026-09-19T18:37:43+00:00"
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   },
-  "window": {
-    "rule": "sliding",
-    "max_positions": 512,
-    "stride": 256
+  "audit": {
+    "hard_issues": [],
+    "soft_issues": [
+      "mean_outlier"
+    ],
+    "examples": {
+      "mean_outlier": [
+        "celer_en-universal-train_conllu_6239: mean=107.54 corpus_mean=41.54 |\u0394|=65.99 (>5.0sigma=54.26)",
+        "celer_en-universal-train_conllu_37131: mean=128.98 corpus_mean=41.54 |\u0394|=87.44 (>5.0sigma=54.26)",
+        "celer_en-universal-train_conllu_17925: mean=98.29 corpus_mean=41.54 |\u0394|=56.75 (>5.0sigma=54.26)",
+        "celer_en-universal-train_conllu_32385: mean=97.14 corpus_mean=41.54 |\u0394|=55.59 (>5.0sigma=54.26)",
+        "celer_en-universal-train_conllu_3905: mean=128.25 corpus_mean=41.54 |\u0394|=86.71 (>5.0sigma=54.26)"
+      ]
+    },
+    "failed_stimuli": 0,
+    "missing_stimuli": 0
   }
 }

manifests/{ai-forever_mGPT_surprisal_tokens_nobos_meco_ee.json → ai-forever_mGPT_mcword_entropy_N512_M20_a0.5_s0_dundee.json}

@@ -1,22 +1,24 @@
 {
   "identity": {
     "schema_version": 1,
-    "method": "surprisal",
+    "method": "mc_word_entropy",
+    "storage_class": "unit_bound",
+    "layer": 1,
     "options": {
       "model_id": "ai-forever/mGPT",
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-      "n_samples": 64,
-      "max_tokens": 10,
-      "alpha": 1.0,
-      "seed": null,
-      "add_bos": false,
-      "dataset_language": "et",
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+      "max_tokens": 20,
+      "alpha": 0.5,
+      "seed": 0,
+      "add_bos": true,
+      "dataset_language": "en",
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-      "unit": "tokens",
+      "unit": "words",
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@@ -25,7 +27,7 @@
     },
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       "source": "ai-forever/mGPT",
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       "sha256": "36faadfd737c580e4d1d02f21e6b9ae4a429237a23d34b558694c9a059494c04",
       "files": [
         "config.json",
@@ -35,14 +37,22 @@
         "tokenizer_config.json",
         "vocab.json"
       ],
-      "requested_revision": null
+      "start": {
+        "ids": [
+          5
+        ],
+        "tokens": [
+          "<|endoftext|>"
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+        "basis": "override"
+      }
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     "versions": {
       "python": "3.12.13",
-      "replica": "0.0.1",
+      "replica": "absent",
       "numpy": "2.4.4",
       "torch": "2.11.0",
       "transformers": "4.57.6",
@@ -51,23 +61,22 @@
       "wordsprobability": "0.17",
       "genlm-bytes": "0.2.0"
     },
-    "units": {
-      "log_p_observed": "nats"
-    }
+    "unit_rule": "whitespace_continuation",
+    "unit_layer": "words"
   },
   "status": "completed",
-  "payload_sha256": "b8488b58e735403eb8e62a6e71bbc3ea152fb9085abe62d75864411df30d15e1",
+  "payload_sha256": "aff2148b2d66b4d1631f0975ffaabe3ae4f6b42caca613b278ab2cc234781550",
   "environment": {
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     "device": "Quadro RTX 6000",
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-    "stride": 256
+  "multiword": {
+    "over": "whitespace_words",
+    "rule": "unit",
+    "multiword_units": 1
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 }

manifests/{ai-forever_mGPT_surprisal_tokens_nobos_meco_de.json → ai-forever_mGPT_mcword_entropy_N512_M20_a1_s0_celer.json}

@@ -1,22 +1,24 @@
 {
   "identity": {
     "schema_version": 1,
-    "method": "surprisal",
+    "method": "mc_word_entropy",
+    "storage_class": "unit_bound",
+    "layer": 1,
     "options": {
       "model_id": "ai-forever/mGPT",
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-      "n_samples": 64,
-      "max_tokens": 10,
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+      "max_tokens": 20,
       "alpha": 1.0,
-      "seed": null,
-      "add_bos": false,
-      "dataset_language": "de",
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+      "add_bos": true,
+      "dataset_language": "en",
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       "chunk_size": null,
       "word_starters": [],
       "top_p": 0.9,
       "context_scope": "stimulus",
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+      "unit": "words",
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@@ -25,7 +27,7 @@
     },
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       "files": [
         "config.json",
@@ -35,14 +37,22 @@
         "tokenizer_config.json",
         "vocab.json"
       ],
-      "requested_revision": null
+      "start": {
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+          5
+        ],
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     "versions": {
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@@ -51,23 +61,34 @@
       "wordsprobability": "0.17",
       "genlm-bytes": "0.2.0"
     },
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-    "stride": 256
+  "audit": {
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+    "soft_issues": [
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+    "examples": {
+      "mean_outlier": [
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+        "celer_en-universal-train_conllu_30950: mean=14.06 corpus_mean=7.77 |\u0394|=6.29 (>5.0sigma=5.71)",
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+        "celer_en-universal-train_conllu_39336: mean=14.03 corpus_mean=7.77 |\u0394|=6.26 (>5.0sigma=5.71)"
+      ]
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+    "missing_stimuli": 0
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 }

manifests/ai-forever_mGPT_surprisal_tokens_nobos_meco_it.json

@@ -1,73 +0,0 @@
-{
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manifests/ai-forever_mGPT_surprisal_tokens_nobos_meco_ko.json

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manifests/ai-forever_mGPT_surprisal_tokens_nobos_meco_tr.json

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manifests/ai-forever_mGPT_surprisal_tokens_nobos_sent_meco_de.json

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manifests/ai-forever_mGPT_surprisal_tokens_nobos_sent_meco_ee.json

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manifests/ai-forever_mGPT_surprisal_tokens_nobos_sent_meco_fi.json

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manifests/ai-forever_mGPT_surprisal_tokens_nobos_sent_meco_gr.json

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manifests/ai-forever_mGPT_surprisal_tokens_nobos_sent_meco_it.json

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manifests/ai-forever_mGPT_surprisal_tokens_nobos_sent_meco_ko.json

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