Publish 1903 files, replacing 1315 cells
#3
by samuki-hf - opened
- README.md +20 -21
- celer.parquet +2 -2
- coverage.parquet +2 -2
- dundee.parquet +2 -2
- federmeier2007_n400.parquet +2 -2
- geco.parquet +2 -2
- history.parquet +2 -2
- manifests/ai-forever_mGPT_mmc_unigram_surprisal_meco_ee.json +69 -0
- manifests/ai-forever_mGPT_mmc_unigram_surprisal_meco_gr.json +69 -0
- manifests/ai-forever_mGPT_mmc_unigram_surprisal_meco_ko.json +69 -0
- manifests/ai-forever_mGPT_mmc_unigram_surprisal_szewczyk_n400.json +69 -0
- manifests/gpt2_mmc_unigram_surprisal_dundee.json +77 -0
- manifests/gpt2_mmc_unigram_surprisal_geco.json +76 -0
- manifests/gpt2_mmc_unigram_surprisal_onestop.json +76 -0
- manifests/wordfreq_unigram_surprisal_celer.json +59 -0
- meco_ee.parquet +2 -2
- meco_gr.parquet +2 -2
- meco_ko.parquet +2 -2
- meco_l2_w2.parquet +2 -2
- natural_stories.parquet +2 -2
- natural_stories_maze.parquet +2 -2
- onestop.parquet +2 -2
- provo.parquet +2 -2
- sbsat.parquet +2 -2
- szewczyk_federmeier2022_n400.parquet +2 -2
- szewczyk_n400.parquet +2 -2
- tags.parquet +2 -2
- verification/wave2.json +2 -2
- wlotko_federmeier2012_n400.parquet +2 -2
- zuco1.parquet +2 -2
README.md
CHANGED
|
@@ -228,7 +228,7 @@ Start from `tags.parquet`: one row per (`tag`, `predictor`, file), with the
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| 228 |
model, method, configuration, storage class, layer and provenance of every
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| 229 |
cell decoded, so a cell can be found by model, method and configuration.
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|
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-
- 2,596 cells across 58 corpora, 280,
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| 232 |
- 25 methods, 26 models and frequency tables
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| 233 |
|
| 234 |
## Layout
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|
@@ -283,7 +283,7 @@ A `positional` estimator conditions on a prefix ending at a token position and r
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| `unit_rule` | cells |
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| 284 |
|---|---|
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| 285 |
| `spacy_sentence` | 26 |
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| 286 |
-
| `whitespace_continuation` |
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| 287 |
|
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## Word values derived from token tables
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| 289 |
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|
@@ -352,14 +352,14 @@ Each recompute wave was checked table by table against the corpus loader's unit
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|---|---|---|
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| `verification/wave1-tokens.json` | check | 406 |
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| 354 |
| `verification/wave1-tokens.json` | pass | 6 |
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-
| `verification/wave2.json` | check |
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-
| `verification/wave2.json` | pass |
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| flag | tables |
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|---|---|
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| manifest identity lacks storage_class | 405 |
|
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| manifest layer is None | 405 |
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-
| words empty or containing whitespace |
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| context scope story (layer 1 conditions on the whole stimulus) | 49 |
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| BOS disabled | 42 |
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| context scope story | 28 |
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@@ -380,13 +380,13 @@ Each recompute wave was checked table by table against the corpus loader's unit
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## Coverage and gaps
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-
`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`
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|
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| `status` | tables |
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|---|---|
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| absent | 1 |
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-
| carried |
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-
| exported |
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| quarantined | 5 |
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| `status` | `reason_class` | tables |
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@@ -396,9 +396,8 @@ Each recompute wave was checked table by table against the corpus loader's unit
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| carried | expected_refusal | 6 |
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| carried | held_decision | 24 |
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| carried | known_gap_beam_empty | 2 |
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| 399 |
-
| carried | missing |
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| 400 |
-
|
|
| 401 |
-
| exported | complete | 855 |
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| exported | expected_refusal | 2 |
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| exported | not planned | 452 |
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| quarantined | held_decision | 5 |
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@@ -411,39 +410,39 @@ Each recompute wave was checked table by table against the corpus loader's unit
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## What changed in this release
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-
Built on the published store at commit `
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| wave | cells exported |
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|---|---|
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| wave1-tokens | 412 |
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-
| wave2 |
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-
-
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- 0 published files deleted because their cell was recomputed without the array they held
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-
-
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- new: `tokens/` (token-grain tables), `characters/` (character-grain tables), `coverage.parquet`, `verification/`, and the storage columns of the word tables and the index
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- array keys without a store folder, left in the pickles only: `orth_similarity_samples`, `pos_match_samples`, `sampled_words`, `similarity_samples_tokens`
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### Carried cells on an older unit grid
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-
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| table | cells on an older grid |
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|---|---|
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-
| `dundee.parquet` |
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| `meco_de.parquet` | 2 |
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-
| `meco_ee.parquet` |
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| `meco_fi.parquet` | 5 |
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-
| `meco_gr.parquet` |
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| `meco_it.parquet` | 5 |
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| `meco_l1_w2_ch_s.parquet` | 6 |
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| `meco_l1_w2_ch_t.parquet` | 6 |
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| `meco_l2_w2.parquet` | 10 |
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| `meco_tr.parquet` | 5 |
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-
| `onestop.parquet` |
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| `provo.parquet` | 15 |
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| `sbsat.parquet` | 20 |
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-
| `szewczyk_n400.parquet` |
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## Loading
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| 449 |
|
|
|
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model, method, configuration, storage class, layer and provenance of every
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| 229 |
cell decoded, so a cell can be found by model, method and configuration.
|
| 230 |
|
| 231 |
+
- 2,596 cells across 58 corpora, 280,034,199 scalar rows
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- 25 methods, 26 models and frequency tables
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| 233 |
|
| 234 |
## Layout
|
|
|
|
| 283 |
| `unit_rule` | cells |
|
| 284 |
|---|---|
|
| 285 |
| `spacy_sentence` | 26 |
|
| 286 |
+
| `whitespace_continuation` | 403 |
|
| 287 |
|
| 288 |
## Word values derived from token tables
|
| 289 |
|
|
|
|
| 352 |
|---|---|---|
|
| 353 |
| `verification/wave1-tokens.json` | check | 406 |
|
| 354 |
| `verification/wave1-tokens.json` | pass | 6 |
|
| 355 |
+
| `verification/wave2.json` | check | 272 |
|
| 356 |
+
| `verification/wave2.json` | pass | 631 |
|
| 357 |
|
| 358 |
| flag | tables |
|
| 359 |
|---|---|
|
| 360 |
| manifest identity lacks storage_class | 405 |
|
| 361 |
| manifest layer is None | 405 |
|
| 362 |
+
| words empty or containing whitespace | 277 |
|
| 363 |
| context scope story (layer 1 conditions on the whole stimulus) | 49 |
|
| 364 |
| BOS disabled | 42 |
|
| 365 |
| context scope story | 28 |
|
|
|
|
| 380 |
|
| 381 |
## Coverage and gaps
|
| 382 |
|
| 383 |
+
`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.
|
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|
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| `status` | tables |
|
| 386 |
|---|---|
|
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| absent | 1 |
|
| 388 |
+
| carried | 35 |
|
| 389 |
+
| exported | 1317 |
|
| 390 |
| quarantined | 5 |
|
| 391 |
|
| 392 |
| `status` | `reason_class` | tables |
|
|
|
|
| 396 |
| carried | expected_refusal | 6 |
|
| 397 |
| carried | held_decision | 24 |
|
| 398 |
| carried | known_gap_beam_empty | 2 |
|
| 399 |
+
| carried | missing | 2 |
|
| 400 |
+
| exported | complete | 863 |
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|
|
|
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| exported | expected_refusal | 2 |
|
| 402 |
| exported | not planned | 452 |
|
| 403 |
| quarantined | held_decision | 5 |
|
|
|
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|
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## What changed in this release
|
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|
| 413 |
+
Built on the published store at commit `8084551878470d9b11de74c12f172ed3c0717206`; every published cell this release does not replace is carried over unchanged.
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|
| 415 |
| wave | cells exported |
|
| 416 |
|---|---|
|
| 417 |
| wave1-tokens | 412 |
|
| 418 |
+
| wave2 | 903 |
|
| 419 |
|
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+
- 1315 published cells replaced by a recomputed table of the same tag
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- 0 published files deleted because their cell was recomputed without the array they held
|
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+
- 1903 files written
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| 423 |
- new: `tokens/` (token-grain tables), `characters/` (character-grain tables), `coverage.parquet`, `verification/`, and the storage columns of the word tables and the index
|
| 424 |
- array keys without a store folder, left in the pickles only: `orth_similarity_samples`, `pos_match_samples`, `sampled_words`, `similarity_samples_tokens`
|
| 425 |
|
| 426 |
### Carried cells on an older unit grid
|
| 427 |
|
| 428 |
+
128 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.
|
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|
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| table | cells on an older grid |
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| 431 |
|---|---|
|
| 432 |
+
| `dundee.parquet` | 19 |
|
| 433 |
| `meco_de.parquet` | 2 |
|
| 434 |
+
| `meco_ee.parquet` | 6 |
|
| 435 |
| `meco_fi.parquet` | 5 |
|
| 436 |
+
| `meco_gr.parquet` | 5 |
|
| 437 |
| `meco_it.parquet` | 5 |
|
| 438 |
| `meco_l1_w2_ch_s.parquet` | 6 |
|
| 439 |
| `meco_l1_w2_ch_t.parquet` | 6 |
|
| 440 |
| `meco_l2_w2.parquet` | 10 |
|
| 441 |
| `meco_tr.parquet` | 5 |
|
| 442 |
+
| `onestop.parquet` | 16 |
|
| 443 |
| `provo.parquet` | 15 |
|
| 444 |
| `sbsat.parquet` | 20 |
|
| 445 |
+
| `szewczyk_n400.parquet` | 8 |
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## Loading
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|
celer.parquet
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:c80e5e466e6e56d3faa7514ab1aab401f15cfdeb2064bb66bbaf21691064856b
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size 174977391
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coverage.parquet
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:e1ea2d6ee9dfaab9766ee72dd4c1ec45cb57d40c29a4ab3faa873d4ca8d1ba20
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+
size 16738
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dundee.parquet
CHANGED
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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oid sha256:a522e1f64f8cddd90b4c07e0b10dce6d0ab98cab79d48ddb370f5190dcc6151c
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size 40819012
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federmeier2007_n400.parquet
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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oid sha256:97e6520742bb30495d9000a675770033b3e608dc794d76b8dee39b9c6e362793
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+
size 2532477
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geco.parquet
CHANGED
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@@ -1,3 +1,3 @@
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| 1 |
version https://git-lfs.github.com/spec/v1
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oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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oid sha256:34742f073defd3cbf4af4e2ddbaa52e3a2f6c937af3de51a5f2833d700a3550d
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+
size 46930884
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history.parquet
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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-
size
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| 1 |
version https://git-lfs.github.com/spec/v1
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+
oid sha256:e6f366132adfa50ae2a3939d95fd25d5aadb6ce46e83ebfb5aa3371ebf650701
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| 3 |
+
size 29479
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manifests/ai-forever_mGPT_mmc_unigram_surprisal_meco_ee.json
ADDED
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@@ -0,0 +1,69 @@
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+
{
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| 2 |
+
"identity": {
|
| 3 |
+
"schema_version": 1,
|
| 4 |
+
"method": "mmc_unigram_surprisal",
|
| 5 |
+
"storage_class": "unit_bound",
|
| 6 |
+
"layer": 1,
|
| 7 |
+
"options": {
|
| 8 |
+
"model_id": "ai-forever/mGPT",
|
| 9 |
+
"beam_width": 5,
|
| 10 |
+
"n_samples": 64,
|
| 11 |
+
"max_tokens": 10,
|
| 12 |
+
"alpha": 1.0,
|
| 13 |
+
"seed": null,
|
| 14 |
+
"add_bos": true,
|
| 15 |
+
"dataset_language": "et",
|
| 16 |
+
"language_override": null,
|
| 17 |
+
"chunk_size": 64,
|
| 18 |
+
"word_starters": [],
|
| 19 |
+
"top_p": 0.9,
|
| 20 |
+
"context_scope": "stimulus",
|
| 21 |
+
"unit": "words",
|
| 22 |
+
"window_policy": "reference",
|
| 23 |
+
"segmentation": "whitespace",
|
| 24 |
+
"model_revision": null,
|
| 25 |
+
"store_distribution": false,
|
| 26 |
+
"model_identity": null
|
| 27 |
+
},
|
| 28 |
+
"model": {
|
| 29 |
+
"source": "ai-forever/mGPT",
|
| 30 |
+
"revision": null,
|
| 31 |
+
"sha256": "36faadfd737c580e4d1d02f21e6b9ae4a429237a23d34b558694c9a059494c04",
|
| 32 |
+
"files": [
|
| 33 |
+
"config.json",
|
| 34 |
+
"merges.txt",
|
| 35 |
+
"pytorch_model.bin",
|
| 36 |
+
"special_tokens_map.json",
|
| 37 |
+
"tokenizer_config.json",
|
| 38 |
+
"vocab.json"
|
| 39 |
+
],
|
| 40 |
+
"requested_revision": null
|
| 41 |
+
},
|
| 42 |
+
"corpus_sha256": "0e862f2c2aee076712ef53ecdfd5b8e32e38fa2122af234f6438499bcffd9177",
|
| 43 |
+
"n_stimuli": 12,
|
| 44 |
+
"source_sha256": "6970c751bdbd4585eea9809f91a75caa42891b639d2ce8aabb2f5e8f1844aa5b",
|
| 45 |
+
"versions": {
|
| 46 |
+
"python": "3.12.13",
|
| 47 |
+
"replica": "0.0.1",
|
| 48 |
+
"numpy": "2.4.4",
|
| 49 |
+
"torch": "2.11.0",
|
| 50 |
+
"transformers": "4.57.6",
|
| 51 |
+
"tokenizers": "0.22.2",
|
| 52 |
+
"wordfreq": "3.1.1",
|
| 53 |
+
"wordsprobability": "0.17",
|
| 54 |
+
"genlm-bytes": "0.2.0"
|
| 55 |
+
},
|
| 56 |
+
"unit_rule": "whitespace_continuation",
|
| 57 |
+
"unit_layer": "words"
|
| 58 |
+
},
|
| 59 |
+
"status": "completed",
|
| 60 |
+
"payload_sha256": "021b035370d1a7cc1a8e7bd34b7e505c58ce3d6e30b1c8bd648657c80d1247cd",
|
| 61 |
+
"environment": {
|
| 62 |
+
"code_commit": "052babe864ba0b391c811d2d28cc2fbe04ac42f0",
|
| 63 |
+
"code_dirty": false,
|
| 64 |
+
"device": "NVIDIA L40S",
|
| 65 |
+
"model_device": null,
|
| 66 |
+
"cuda": "13.0",
|
| 67 |
+
"computed_at": "2026-09-25T19:31:49+00:00"
|
| 68 |
+
}
|
| 69 |
+
}
|
manifests/ai-forever_mGPT_mmc_unigram_surprisal_meco_gr.json
ADDED
|
@@ -0,0 +1,69 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"identity": {
|
| 3 |
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| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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| 19 |
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| 20 |
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|
| 21 |
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| 22 |
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|
| 23 |
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| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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"model": {
|
| 29 |
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"source": "ai-forever/mGPT",
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| 30 |
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|
| 31 |
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"sha256": "36faadfd737c580e4d1d02f21e6b9ae4a429237a23d34b558694c9a059494c04",
|
| 32 |
+
"files": [
|
| 33 |
+
"config.json",
|
| 34 |
+
"merges.txt",
|
| 35 |
+
"pytorch_model.bin",
|
| 36 |
+
"special_tokens_map.json",
|
| 37 |
+
"tokenizer_config.json",
|
| 38 |
+
"vocab.json"
|
| 39 |
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],
|
| 40 |
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"requested_revision": null
|
| 41 |
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},
|
| 42 |
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"corpus_sha256": "bb46487d3d7a77783fe5fe5c1499a0b8098eead45b44fae5e3c113196e174992",
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| 43 |
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|
| 44 |
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| 45 |
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| 46 |
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| 47 |
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|
| 48 |
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"numpy": "2.4.4",
|
| 49 |
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"torch": "2.11.0",
|
| 50 |
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"transformers": "4.57.6",
|
| 51 |
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"tokenizers": "0.22.2",
|
| 52 |
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"wordfreq": "3.1.1",
|
| 53 |
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"wordsprobability": "0.17",
|
| 54 |
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"genlm-bytes": "0.2.0"
|
| 55 |
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},
|
| 56 |
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"unit_rule": "whitespace_continuation",
|
| 57 |
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"unit_layer": "words"
|
| 58 |
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},
|
| 59 |
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"status": "completed",
|
| 60 |
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"payload_sha256": "1d6ad9b958a51a511b0b4a91eb236c0927484e9700d1d0361b93a3108e59fcd0",
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| 61 |
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| 62 |
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"code_commit": "052babe864ba0b391c811d2d28cc2fbe04ac42f0",
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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|
| 67 |
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|
| 68 |
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}
|
| 69 |
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}
|
manifests/ai-forever_mGPT_mmc_unigram_surprisal_meco_ko.json
ADDED
|
@@ -0,0 +1,69 @@
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|
|
|
|
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|
|
|
| 1 |
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{
|
| 2 |
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"identity": {
|
| 3 |
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"schema_version": 1,
|
| 4 |
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"method": "mmc_unigram_surprisal",
|
| 5 |
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"storage_class": "unit_bound",
|
| 6 |
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"layer": 1,
|
| 7 |
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"options": {
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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"model": {
|
| 29 |
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"source": "ai-forever/mGPT",
|
| 30 |
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"revision": null,
|
| 31 |
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"sha256": "36faadfd737c580e4d1d02f21e6b9ae4a429237a23d34b558694c9a059494c04",
|
| 32 |
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"files": [
|
| 33 |
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"config.json",
|
| 34 |
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"merges.txt",
|
| 35 |
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"pytorch_model.bin",
|
| 36 |
+
"special_tokens_map.json",
|
| 37 |
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"tokenizer_config.json",
|
| 38 |
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"vocab.json"
|
| 39 |
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],
|
| 40 |
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"requested_revision": null
|
| 41 |
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},
|
| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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|
| 47 |
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"replica": "0.0.1",
|
| 48 |
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"numpy": "2.4.4",
|
| 49 |
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"torch": "2.11.0",
|
| 50 |
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"transformers": "4.57.6",
|
| 51 |
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"tokenizers": "0.22.2",
|
| 52 |
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"wordfreq": "3.1.1",
|
| 53 |
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"wordsprobability": "0.17",
|
| 54 |
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"genlm-bytes": "0.2.0"
|
| 55 |
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},
|
| 56 |
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"unit_rule": "whitespace_continuation",
|
| 57 |
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"unit_layer": "words"
|
| 58 |
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},
|
| 59 |
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"status": "completed",
|
| 60 |
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"payload_sha256": "8509b3c18eda39f7e435516cec75495a59d5d5ebf225ea6af498099d6aa9af3f",
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| 61 |
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| 62 |
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"code_commit": "052babe864ba0b391c811d2d28cc2fbe04ac42f0",
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| 63 |
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| 64 |
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"device": "NVIDIA L40S",
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| 65 |
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| 66 |
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|
| 67 |
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"computed_at": "2026-09-25T12:48:00+00:00"
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| 68 |
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}
|
| 69 |
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}
|
manifests/ai-forever_mGPT_mmc_unigram_surprisal_szewczyk_n400.json
ADDED
|
@@ -0,0 +1,69 @@
|
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|
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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| 24 |
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|
| 25 |
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|
| 26 |
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| 27 |
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| 28 |
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"model": {
|
| 29 |
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|
| 30 |
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| 31 |
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| 32 |
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"files": [
|
| 33 |
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"config.json",
|
| 34 |
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"merges.txt",
|
| 35 |
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"pytorch_model.bin",
|
| 36 |
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"special_tokens_map.json",
|
| 37 |
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"tokenizer_config.json",
|
| 38 |
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"vocab.json"
|
| 39 |
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],
|
| 40 |
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| 41 |
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| 42 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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| 59 |
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|
| 60 |
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| 67 |
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|
| 68 |
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|
| 69 |
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}
|
manifests/gpt2_mmc_unigram_surprisal_dundee.json
ADDED
|
@@ -0,0 +1,77 @@
|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
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|
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|
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|
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|
|
|
|
|
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|
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|
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|
|
|
|
|
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|
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|
|
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|
|
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|
|
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|
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|
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|
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|
|
|
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|
| 1 |
+
{
|
| 2 |
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"identity": {
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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"sha256": "c5a644aeb1cf4cde835b077c20075efa570b2b51cec32626f8008b4fe580107e",
|
| 32 |
+
"files": [
|
| 33 |
+
"config.json",
|
| 34 |
+
"generation_config.json",
|
| 35 |
+
"merges.txt",
|
| 36 |
+
"model.safetensors",
|
| 37 |
+
"onnx/config.json",
|
| 38 |
+
"onnx/generation_config.json",
|
| 39 |
+
"onnx/merges.txt",
|
| 40 |
+
"onnx/special_tokens_map.json",
|
| 41 |
+
"onnx/tokenizer.json",
|
| 42 |
+
"onnx/tokenizer_config.json",
|
| 43 |
+
"onnx/vocab.json",
|
| 44 |
+
"tokenizer.json",
|
| 45 |
+
"tokenizer_config.json",
|
| 46 |
+
"vocab.json"
|
| 47 |
+
],
|
| 48 |
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"requested_revision": null
|
| 49 |
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},
|
| 50 |
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"corpus_sha256": "7e634bbd21030e4d5386193726ebf74957ae28f4555911a655154211cd9f8d88",
|
| 51 |
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|
| 52 |
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"source_sha256": "40fd4bc86f96809413e4945f69d1d59272b2de15ac949a4e90f80ec4e90434d4",
|
| 53 |
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"versions": {
|
| 54 |
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"python": "3.12.13",
|
| 55 |
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"replica": "0.0.1",
|
| 56 |
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"numpy": "2.4.4",
|
| 57 |
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"torch": "2.11.0",
|
| 58 |
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"transformers": "4.57.6",
|
| 59 |
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"tokenizers": "0.22.2",
|
| 60 |
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"wordfreq": "3.1.1",
|
| 61 |
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"wordsprobability": "0.17",
|
| 62 |
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"genlm-bytes": "0.2.0"
|
| 63 |
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},
|
| 64 |
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"unit_rule": "whitespace_continuation",
|
| 65 |
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"unit_layer": "words"
|
| 66 |
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|
| 67 |
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"status": "completed",
|
| 68 |
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"payload_sha256": "5a5eca17a09118e6a7146f0a377bc9d582d6eb32d9c91d1e0ba1dfbd3282a8ed",
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| 69 |
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|
| 70 |
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"code_commit": "e78a32c204cc3589c964824ba60b43c1ff2bde8b",
|
| 71 |
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"code_dirty": false,
|
| 72 |
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"device": "NVIDIA L40S",
|
| 73 |
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|
| 74 |
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|
| 75 |
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"computed_at": "2026-09-23T23:31:34+00:00"
|
| 76 |
+
}
|
| 77 |
+
}
|
manifests/gpt2_mmc_unigram_surprisal_geco.json
ADDED
|
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"identity": {
|
| 3 |
+
"schema_version": 1,
|
| 4 |
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"method": "mmc_unigram_surprisal",
|
| 5 |
+
"storage_class": "unit_bound",
|
| 6 |
+
"layer": 1,
|
| 7 |
+
"options": {
|
| 8 |
+
"model_id": "gpt2",
|
| 9 |
+
"beam_width": 5,
|
| 10 |
+
"n_samples": 64,
|
| 11 |
+
"max_tokens": 10,
|
| 12 |
+
"alpha": 1.0,
|
| 13 |
+
"seed": null,
|
| 14 |
+
"add_bos": true,
|
| 15 |
+
"dataset_language": "en",
|
| 16 |
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"language_override": null,
|
| 17 |
+
"chunk_size": 64,
|
| 18 |
+
"word_starters": [],
|
| 19 |
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|
| 20 |
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"context_scope": "stimulus",
|
| 21 |
+
"unit": "words",
|
| 22 |
+
"window_policy": "reference",
|
| 23 |
+
"segmentation": "whitespace",
|
| 24 |
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"model_revision": null,
|
| 25 |
+
"store_distribution": false,
|
| 26 |
+
"model_identity": null
|
| 27 |
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|
| 28 |
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"model": {
|
| 29 |
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"source": "openai-community/gpt2",
|
| 30 |
+
"revision": "607a30d783dfa663caf39e06633721c8d4cfcd7e",
|
| 31 |
+
"sha256": "c5a644aeb1cf4cde835b077c20075efa570b2b51cec32626f8008b4fe580107e",
|
| 32 |
+
"files": [
|
| 33 |
+
"config.json",
|
| 34 |
+
"generation_config.json",
|
| 35 |
+
"merges.txt",
|
| 36 |
+
"model.safetensors",
|
| 37 |
+
"onnx/config.json",
|
| 38 |
+
"onnx/generation_config.json",
|
| 39 |
+
"onnx/merges.txt",
|
| 40 |
+
"onnx/special_tokens_map.json",
|
| 41 |
+
"onnx/tokenizer.json",
|
| 42 |
+
"onnx/tokenizer_config.json",
|
| 43 |
+
"onnx/vocab.json",
|
| 44 |
+
"tokenizer.json",
|
| 45 |
+
"tokenizer_config.json",
|
| 46 |
+
"vocab.json"
|
| 47 |
+
]
|
| 48 |
+
},
|
| 49 |
+
"corpus_sha256": "29d759acef49c2eb2ab44d396f83853833e24ba5fcbaef7c50132819fc6aab95",
|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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"torch": "2.11.0",
|
| 57 |
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"transformers": "4.57.6",
|
| 58 |
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"tokenizers": "0.22.2",
|
| 59 |
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"wordfreq": "3.1.1",
|
| 60 |
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"wordsprobability": "0.17",
|
| 61 |
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"genlm-bytes": "0.2.0"
|
| 62 |
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},
|
| 63 |
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"unit_rule": "whitespace_continuation",
|
| 64 |
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"unit_layer": "words"
|
| 65 |
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},
|
| 66 |
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|
| 67 |
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| 68 |
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| 69 |
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| 70 |
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"code_dirty": false,
|
| 71 |
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"device": "NVIDIA GeForce RTX 2080 Ti",
|
| 72 |
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|
| 73 |
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|
| 74 |
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"computed_at": "2026-09-26T10:16:22+00:00"
|
| 75 |
+
}
|
| 76 |
+
}
|
manifests/gpt2_mmc_unigram_surprisal_onestop.json
ADDED
|
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"identity": {
|
| 3 |
+
"schema_version": 1,
|
| 4 |
+
"method": "mmc_unigram_surprisal",
|
| 5 |
+
"storage_class": "unit_bound",
|
| 6 |
+
"layer": 1,
|
| 7 |
+
"options": {
|
| 8 |
+
"model_id": "gpt2",
|
| 9 |
+
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|
| 10 |
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|
| 11 |
+
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|
| 12 |
+
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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"context_scope": "stimulus",
|
| 21 |
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"unit": "words",
|
| 22 |
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"window_policy": "reference",
|
| 23 |
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"segmentation": "whitespace",
|
| 24 |
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"model_revision": null,
|
| 25 |
+
"store_distribution": false,
|
| 26 |
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|
| 27 |
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},
|
| 28 |
+
"model": {
|
| 29 |
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"source": "openai-community/gpt2",
|
| 30 |
+
"revision": "607a30d783dfa663caf39e06633721c8d4cfcd7e",
|
| 31 |
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"sha256": "c5a644aeb1cf4cde835b077c20075efa570b2b51cec32626f8008b4fe580107e",
|
| 32 |
+
"files": [
|
| 33 |
+
"config.json",
|
| 34 |
+
"generation_config.json",
|
| 35 |
+
"merges.txt",
|
| 36 |
+
"model.safetensors",
|
| 37 |
+
"onnx/config.json",
|
| 38 |
+
"onnx/generation_config.json",
|
| 39 |
+
"onnx/merges.txt",
|
| 40 |
+
"onnx/special_tokens_map.json",
|
| 41 |
+
"onnx/tokenizer.json",
|
| 42 |
+
"onnx/tokenizer_config.json",
|
| 43 |
+
"onnx/vocab.json",
|
| 44 |
+
"tokenizer.json",
|
| 45 |
+
"tokenizer_config.json",
|
| 46 |
+
"vocab.json"
|
| 47 |
+
]
|
| 48 |
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},
|
| 49 |
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"corpus_sha256": "304cd0369bc96952403c2fbf6a01bad2a8f045b24f82bbcf6309f1eab78aab8d",
|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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"wordfreq": "3.1.1",
|
| 60 |
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"wordsprobability": "0.17",
|
| 61 |
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|
| 62 |
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},
|
| 63 |
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"unit_rule": "whitespace_continuation",
|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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| 68 |
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| 69 |
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| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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"computed_at": "2026-09-25T02:56:48+00:00"
|
| 75 |
+
}
|
| 76 |
+
}
|
manifests/wordfreq_unigram_surprisal_celer.json
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"identity": {
|
| 3 |
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"schema_version": 1,
|
| 4 |
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"method": "unigram_surprisal",
|
| 5 |
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|
| 6 |
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"layer": 1,
|
| 7 |
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"options": {
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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"context_scope": "stimulus",
|
| 21 |
+
"unit": "words",
|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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"source": "wordfreq",
|
| 30 |
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"revision": "package-version"
|
| 31 |
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},
|
| 32 |
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"corpus_sha256": "7ec1058e5169feed00e160622998671316bba0f47990e35c048f55e66e65fabf",
|
| 33 |
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|
| 34 |
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| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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"torch": "2.11.0",
|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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| 49 |
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|
| 50 |
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| 56 |
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|
| 57 |
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|
| 58 |
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}
|
| 59 |
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}
|
meco_ee.parquet
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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