Datasets:
Tasks:
Text Classification
Formats:
parquet
Languages:
English
Size:
1K - 10K
Tags:
minimal-pairs
interpretability
mechanistic-interpretability
linguistics
value-embeddings
causal-intervention
License:
LexVE v2 release: default + graded_distance configs, dataset card, provenance
Browse files- README.md +373 -0
- SHA256SUMS +9 -0
- data/default/discovery.parquet +3 -0
- data/default/evaluation.parquet +3 -0
- data/graded_distance/discovery.parquet +3 -0
- data/graded_distance/evaluation.parquet +3 -0
- provenance/baseline_competence.json +534 -0
- provenance/manifest_graded.json +651 -0
- provenance/manifest_v2.json +1219 -0
- provenance/template_selection.json +216 -0
README.md
ADDED
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| 1 |
+
---
|
| 2 |
+
license: cc-by-4.0
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
+
pretty_name: LexVE
|
| 6 |
+
size_categories:
|
| 7 |
+
- 1K<n<10K
|
| 8 |
+
task_categories:
|
| 9 |
+
- text-classification
|
| 10 |
+
tags:
|
| 11 |
+
- minimal-pairs
|
| 12 |
+
- interpretability
|
| 13 |
+
- mechanistic-interpretability
|
| 14 |
+
- linguistics
|
| 15 |
+
- value-embeddings
|
| 16 |
+
- causal-intervention
|
| 17 |
+
configs:
|
| 18 |
+
- config_name: default
|
| 19 |
+
default: true
|
| 20 |
+
data_files:
|
| 21 |
+
- split: discovery
|
| 22 |
+
path: data/default/discovery.parquet
|
| 23 |
+
- split: evaluation
|
| 24 |
+
path: data/default/evaluation.parquet
|
| 25 |
+
- config_name: graded_distance
|
| 26 |
+
data_files:
|
| 27 |
+
- split: discovery
|
| 28 |
+
path: data/graded_distance/discovery.parquet
|
| 29 |
+
- split: evaluation
|
| 30 |
+
path: data/graded_distance/evaluation.parquet
|
| 31 |
+
dataset_info:
|
| 32 |
+
- config_name: default
|
| 33 |
+
features:
|
| 34 |
+
- name: anchor
|
| 35 |
+
dtype: string
|
| 36 |
+
- name: base_class
|
| 37 |
+
dtype: string
|
| 38 |
+
- name: base_label
|
| 39 |
+
dtype: string
|
| 40 |
+
- name: base_label_id
|
| 41 |
+
dtype: int64
|
| 42 |
+
- name: base_text
|
| 43 |
+
dtype: string
|
| 44 |
+
- name: base_token_id
|
| 45 |
+
dtype: int64
|
| 46 |
+
- name: base_word
|
| 47 |
+
dtype: string
|
| 48 |
+
- name: calibration_status
|
| 49 |
+
dtype: string
|
| 50 |
+
- name: class_labels
|
| 51 |
+
dtype: bool
|
| 52 |
+
- name: cluster_id
|
| 53 |
+
dtype: string
|
| 54 |
+
- name: cue_gap
|
| 55 |
+
dtype: int64
|
| 56 |
+
- name: direction
|
| 57 |
+
dtype: string
|
| 58 |
+
- name: frame
|
| 59 |
+
dtype: string
|
| 60 |
+
- name: id
|
| 61 |
+
dtype: string
|
| 62 |
+
- name: linguistic_level
|
| 63 |
+
dtype: string
|
| 64 |
+
- name: pair_id
|
| 65 |
+
dtype: string
|
| 66 |
+
- name: pair_index
|
| 67 |
+
dtype: int64
|
| 68 |
+
- name: pos_tag
|
| 69 |
+
dtype: string
|
| 70 |
+
- name: schema_version
|
| 71 |
+
dtype: string
|
| 72 |
+
- name: source_class
|
| 73 |
+
dtype: string
|
| 74 |
+
- name: source_label
|
| 75 |
+
dtype: string
|
| 76 |
+
- name: source_label_id
|
| 77 |
+
dtype: int64
|
| 78 |
+
- name: source_text
|
| 79 |
+
dtype: string
|
| 80 |
+
- name: source_token_id
|
| 81 |
+
dtype: int64
|
| 82 |
+
- name: source_word
|
| 83 |
+
dtype: string
|
| 84 |
+
- name: split
|
| 85 |
+
dtype: string
|
| 86 |
+
- name: swap_pos
|
| 87 |
+
dtype: int64
|
| 88 |
+
- name: task
|
| 89 |
+
dtype: string
|
| 90 |
+
- name: template_id
|
| 91 |
+
dtype: string
|
| 92 |
+
- name: template_text
|
| 93 |
+
dtype: string
|
| 94 |
+
- name: tier
|
| 95 |
+
dtype: string
|
| 96 |
+
- name: token_count
|
| 97 |
+
dtype: int64
|
| 98 |
+
- name: known_issue
|
| 99 |
+
dtype: bool
|
| 100 |
+
- name: known_issue_note
|
| 101 |
+
dtype: string
|
| 102 |
+
splits:
|
| 103 |
+
- name: discovery
|
| 104 |
+
num_examples: 1376
|
| 105 |
+
num_bytes: 64340
|
| 106 |
+
- name: evaluation
|
| 107 |
+
num_examples: 1294
|
| 108 |
+
num_bytes: 62310
|
| 109 |
+
- config_name: graded_distance
|
| 110 |
+
features:
|
| 111 |
+
- name: base_class
|
| 112 |
+
dtype: string
|
| 113 |
+
- name: base_label
|
| 114 |
+
dtype: string
|
| 115 |
+
- name: base_label_id
|
| 116 |
+
dtype: int64
|
| 117 |
+
- name: base_text
|
| 118 |
+
dtype: string
|
| 119 |
+
- name: base_token_id
|
| 120 |
+
dtype: int64
|
| 121 |
+
- name: base_word
|
| 122 |
+
dtype: string
|
| 123 |
+
- name: class_labels
|
| 124 |
+
dtype: bool
|
| 125 |
+
- name: cluster_id
|
| 126 |
+
dtype: string
|
| 127 |
+
- name: cue_gap
|
| 128 |
+
dtype: int64
|
| 129 |
+
- name: direction
|
| 130 |
+
dtype: string
|
| 131 |
+
- name: filler_tokens
|
| 132 |
+
dtype: int64
|
| 133 |
+
- name: frame
|
| 134 |
+
dtype: string
|
| 135 |
+
- name: id
|
| 136 |
+
dtype: string
|
| 137 |
+
- name: linguistic_level
|
| 138 |
+
dtype: string
|
| 139 |
+
- name: pair_id
|
| 140 |
+
dtype: string
|
| 141 |
+
- name: pair_index
|
| 142 |
+
dtype: int64
|
| 143 |
+
- name: pos_tag
|
| 144 |
+
dtype: string
|
| 145 |
+
- name: schema_version
|
| 146 |
+
dtype: string
|
| 147 |
+
- name: source_class
|
| 148 |
+
dtype: string
|
| 149 |
+
- name: source_label
|
| 150 |
+
dtype: string
|
| 151 |
+
- name: source_label_id
|
| 152 |
+
dtype: int64
|
| 153 |
+
- name: source_text
|
| 154 |
+
dtype: string
|
| 155 |
+
- name: source_token_id
|
| 156 |
+
dtype: int64
|
| 157 |
+
- name: source_word
|
| 158 |
+
dtype: string
|
| 159 |
+
- name: split
|
| 160 |
+
dtype: string
|
| 161 |
+
- name: swap_pos
|
| 162 |
+
dtype: int64
|
| 163 |
+
- name: task
|
| 164 |
+
dtype: string
|
| 165 |
+
- name: template_id
|
| 166 |
+
dtype: string
|
| 167 |
+
- name: template_text
|
| 168 |
+
dtype: string
|
| 169 |
+
- name: tier
|
| 170 |
+
dtype: string
|
| 171 |
+
- name: token_count
|
| 172 |
+
dtype: int64
|
| 173 |
+
- name: known_issue
|
| 174 |
+
dtype: bool
|
| 175 |
+
- name: known_issue_note
|
| 176 |
+
dtype: string
|
| 177 |
+
splits:
|
| 178 |
+
- name: discovery
|
| 179 |
+
num_examples: 1120
|
| 180 |
+
num_bytes: 46034
|
| 181 |
+
- name: evaluation
|
| 182 |
+
num_examples: 1070
|
| 183 |
+
num_bytes: 44251
|
| 184 |
+
---
|
| 185 |
+
|
| 186 |
+
# LexVE: lexical minimal pairs for word-level interventions
|
| 187 |
+
|
| 188 |
+
LexVE is a set of **2,670 English minimal-pair prompts across 38 tasks**. In each pair the two prompts differ in exactly
|
| 189 |
+
one word (the *cue*), and that word decides the next token. It was built to study how language models use a single word's
|
| 190 |
+
identity, for example by swapping or steering that word's embedding or value-embedding vectors, and it works as a plain
|
| 191 |
+
minimal-pair benchmark too.
|
| 192 |
+
|
| 193 |
+
```python
|
| 194 |
+
from datasets import load_dataset
|
| 195 |
+
|
| 196 |
+
ds = load_dataset("aadityabuilds/lexve") # LexVE v2: splits "discovery", "evaluation"
|
| 197 |
+
graded = load_dataset("aadityabuilds/lexve", "graded_distance") # cue-to-prediction distance 0-14 tokens
|
| 198 |
+
row = ds["evaluation"][0]
|
| 199 |
+
```
|
| 200 |
+
|
| 201 |
+
Example row (`animacy_relative`):
|
| 202 |
+
|
| 203 |
+
| | prompt | cue | expected next token |
|
| 204 |
+
|---|---|---|---|
|
| 205 |
+
| base | We finally met the doctor, | doctor (human) | " who" |
|
| 206 |
+
| source | We finally met the statue, | statue (inanimate) | " which" |
|
| 207 |
+
|
| 208 |
+
A model that has learned the distinction should prefer " who" after the base prompt and " which" after the source prompt.
|
| 209 |
+
An intervention on the cue (e.g. replacing the doctor's vector with the statue's) should move the prediction from " who"
|
| 210 |
+
toward " which".
|
| 211 |
+
|
| 212 |
+
## Configurations
|
| 213 |
+
|
| 214 |
+
| Config | Rows | Discovery / evaluation | What it is |
|
| 215 |
+
|---|---|---|---|
|
| 216 |
+
| `default` | 2,670 | 1,376 / 1,294 | LexVE v2: 38 tasks, `near` / `far` / `attractor` frames |
|
| 217 |
+
| `graded_distance` | 2,190 | 1,120 / 1,070 | 19 tasks; one fixed stem per task with filler phrases so the cue sits 0, 4, 7, 10 or 14 tokens before the prediction |
|
| 218 |
+
|
| 219 |
+
Both configs reuse the same lexical pairs and the same discovery/evaluation assignment.
|
| 220 |
+
|
| 221 |
+
## Tasks
|
| 222 |
+
|
| 223 |
+
The 38 tasks cover cues of 13 parts of speech and eight linguistic levels.
|
| 224 |
+
|
| 225 |
+
| Task | Level | Cue POS | Tier | Status | Labels (class A / B) | Pairs | Rows | Graded rows | Example (base → label) |
|
| 226 |
+
|---|---|---|---|---|---|---|---|---|---|
|
| 227 |
+
| `adj_prep_of_with` | lexicalized_syntax | adjective | open | capable | `of` / `with` | 17 | 136 | 170 | Everyone knew she was afraid → `of` (vs *satisfied* → `with`) |
|
| 228 |
+
| `adj_prep_to_from` | lexicalized_syntax | adjective | open | capable | `to` / `from` | 17 | 136 | 170 | Everyone knew she was similar → `to` (vs *different* → `from`) |
|
| 229 |
+
| `animacy_relative` | lexical_semantics | noun | open | capable | `who` / `which` | 20 | 160 | – | We finally met the doctor, → `who` (vs *statue* → `which`) |
|
| 230 |
+
| `article_phonology` | phonology | article | diag | limited | `apple` / `banana` | 1 | 8 | – | For breakfast, I ate an → `apple` (vs *a* → `banana`) |
|
| 231 |
+
| `comparative_than` | morphology | adjective | open | capable | `than` / `and` | 18 | 144 | 180 | The new house is bigger → `than` (vs *big* → `and`) |
|
| 232 |
+
| `complement_clause` | lexicalized_syntax | verb | open | capable | `whether` / `that` | 16 | 128 | 160 | In the interview, the journalist wondered → `whether` (vs *claimed* → `that`) |
|
| 233 |
+
| `container_noun` | lexical_semantics | noun | closed | capable | `water` / `paper` | 5 | 40 | – | She handed me a bottle of → `water` (vs *pile* → `paper`) |
|
| 234 |
+
| `correlative` | morphosyntax | conjunction | diag | capable | `or` / `nor` | 1 | 12 | – | You can choose either the red one → `or` (vs *neither* → `nor`) |
|
| 235 |
+
| `country_language` | world_knowledge | proper_noun | open | capable | pair-specific | 11 | 88 | 110 | In France, most people speak → `French` (vs *Spain* → `Spanish`) |
|
| 236 |
+
| `dative_alternation` | lexicalized_syntax | verb | open | limited | `me` / `the` | 16 | 32 | – | Two days ago, my neighbor gave → `me` (vs *donated* → `the`) |
|
| 237 |
+
| `determiner_number` | morphosyntax | determiner | closed | capable | `is` / `are` | 8 | 96 | 80 | The farmer told us that this sheep → `is` (vs *these* → `are`) |
|
| 238 |
+
| `entity_type` | lexical_semantics | proper_noun | open | capable | `who` / `where` | 20 | 120 | – | The article mentioned John, → `who` (vs *London* → `where`) |
|
| 239 |
+
| `food_selection` | lexical_semantics | verb | diag | capable | `water` / `bread` | 6 | 36 | – | Every morning, my grandmother drank some → `water` (vs *ate* → `bread`) |
|
| 240 |
+
| `gender_pronoun` | lexical_semantics | noun | open | capable | `he` / `she` | 11 | 110 | 110 | The man said that → `he` (vs *woman* → `she`) |
|
| 241 |
+
| `gerund_vs_infinitive` | lexicalized_syntax | verb | open | capable | `going` / `to` | 8 | 64 | 80 | Last year, she enjoyed → `going` (vs *wanted* → `to`) |
|
| 242 |
+
| `hypernym_class` | lexical_semantics | noun | closed | capable | `bird` / `fish` | 8 | 64 | 80 | A eagle is a kind of → `bird` (vs *shark* → `fish`) † |
|
| 243 |
+
| `infinitive_vs_object` | lexicalized_syntax | verb | open | capable | `to` / `the` | 16 | 96 | 160 | After a long day, Maria decided → `to` (vs *enjoyed* → `the`) |
|
| 244 |
+
| `irregular_number` | morphosyntax | noun | open | capable | `was` / `were` | 16 | 160 | 160 | I think the man → `was` (vs *men* → `were`) |
|
| 245 |
+
| `light_verb` | collocation | verb | diag | limited | `decision` / `walk` | 1 | 10 | – | Tomorrow I will make a → `decision` (vs *take* → `walk`) |
|
| 246 |
+
| `mass_count` | morphosyntax | quantifier | closed | capable | `money` / `friends` | 4 | 20 | – | To be honest, I do not have much → `money` (vs *many* → `friends`) |
|
| 247 |
+
| `modal_bare_vs_to` | morphosyntax | modal | closed | capable | `be` / `to` | 9 | 72 | 90 | Honestly, we should → `be` (vs *ought* → `to`) |
|
| 248 |
+
| `noun_prep_for_in` | lexicalized_syntax | noun | open | capable | `for` / `in` | 16 | 96 | 160 | The report highlighted the need → `for` (vs *increase* → `in`) |
|
| 249 |
+
| `noun_prep_on_to` | lexicalized_syntax | noun | open | capable | `on` / `to` | 15 | 90 | 150 | They discussed the impact → `on` (vs *access* → `to`) |
|
| 250 |
+
| `npi_licensing` | semantics | quantifier_adverb | closed | capable | `any` / `some` | 7 | 40 | – | At the party, nobody had → `any` (vs *somebody* → `some`) |
|
| 251 |
+
| `numeral_noun_number` | morphosyntax | determiner | closed | capable | `year` / `years` | 7 | 56 | – | The project took one → `year` (vs *three* → `years`) |
|
| 252 |
+
| `particle_up_out` | collocation | verb | open | capable | `up` / `out` | 11 | 88 | – | After a while, she gave → `up` (vs *figured* → `out`) |
|
| 253 |
+
| `partitive_agreement` | morphosyntax | quantifier | closed | capable | `is` / `are` | 6 | 48 | – | I think one of the boxes → `is` (vs *two* → `are`) |
|
| 254 |
+
| `prep_government_mixed` | lexicalized_syntax | verb | open | capable | pair-specific | 9 | 72 | 90 | At the time, Alex relied → `on` (vs *looked* → `at`) |
|
| 255 |
+
| `pronoun_case` | morphosyntax | preposition_vs_subordinator | closed | limited | `him` / `he` | 8 | 16 | – | They stayed in the room with → `him` (vs *because* → `he`) |
|
| 256 |
+
| `range_preposition` | lexicalized_syntax | preposition | diag | capable | `to` / `and` | 1 | 12 | – | Prices range from ten → `to` (vs *between* → `and`) |
|
| 257 |
+
| `sensory_modality` | lexical_semantics | adjective | closed | capable | `sound` / `light` | 7 | 42 | – | Suddenly there was a loud → `sound` (vs *bright* → `light`) |
|
| 258 |
+
| `temporal_tense` | semantics | adverb | closed | capable | `will` / `was` | 5 | 30 | 40 | The coach said that tomorrow the team → `will` (vs *yesterday* → `was`) |
|
| 259 |
+
| `time_place_relative` | lexical_semantics | noun | open | capable | `when` / `where` | 11 | 66 | – | I still remember the day → `when` (vs *city* → `where`) |
|
| 260 |
+
| `transitivity` | lexicalized_syntax | verb | open | capable | `the` / `.` | 15 | 90 | – | A moment later, Maya inspected → `the` (vs *arrived* → `.`) |
|
| 261 |
+
| `unit_ago_away` | lexical_semantics | noun | closed | capable | `ago` / `away` | 4 | 32 | – | That was only a few weeks → `ago` (vs *miles* → `away`) |
|
| 262 |
+
| `verb_prep_from_of` | lexicalized_syntax | verb | closed | capable | `from` / `of` | 6 | 48 | 60 | In the end, she suffered → `from` (vs *consisted* → `of`) |
|
| 263 |
+
| `verb_prep_in_with` | lexicalized_syntax | verb | closed | capable | `in` / `with` | 6 | 48 | 60 | In the end, she participated → `in` (vs *dealt* → `with`) |
|
| 264 |
+
| `verb_prep_on_to` | lexicalized_syntax | verb | open | capable | `on` / `to` | 8 | 64 | 80 | In the end, she focused → `on` (vs *referred* → `to`) |
|
| 265 |
+
|
| 266 |
+
† This example is one of the flagged ungrammatical rows (see Limitations).
|
| 267 |
+
|
| 268 |
+
## Fields
|
| 269 |
+
|
| 270 |
+
| Field | Description |
|
| 271 |
+
|---|---|
|
| 272 |
+
| `id` | Unique row id: `v2__<task>__p<pair>__<template>__<direction>` (graded: `g__<task>__p<pair>__d<distance>__<direction>`). |
|
| 273 |
+
| `task` | Task name (38 in `default`, 19 in `graded_distance`). |
|
| 274 |
+
| `base_text` | Prompt with the base cue word. The model is asked for the next token. |
|
| 275 |
+
| `source_text` | The same prompt with the cue word swapped for its partner (the only difference). |
|
| 276 |
+
| `base_word`, `source_word` | The cue word in each prompt (no leading space). |
|
| 277 |
+
| `base_label`, `source_label` | Expected next token after each prompt, as a string with its leading space (e.g. `" who"`). |
|
| 278 |
+
| `base_class`, `source_class` | Class of each cue word (e.g. `human` / `inanimate`). |
|
| 279 |
+
| `class_labels` | True if labels are shared by the whole class (36 of 38 tasks); False if each pair has its own labels (`country_language`, `prep_government_mixed`). |
|
| 280 |
+
| `direction` | `a_to_b` or `b_to_a`. Every pair appears in both directions (base and source exchanged). |
|
| 281 |
+
| `pair_id`, `cluster_id` | Lexical pair, e.g. `animacy_relative::doctor__statue`. Use `cluster_id` to group rows for cluster bootstraps. |
|
| 282 |
+
| `pair_index` | Index of the pair within its task; even = discovery, odd = evaluation (see Splits). |
|
| 283 |
+
| `split` | `discovery` or `evaluation` (also the HF split name). |
|
| 284 |
+
| `template_id`, `template_text` | Sentence template; `{w}` marks the cue slot. |
|
| 285 |
+
| `frame` | `near` (cue within two tokens of the prediction), `far` (neutral words in between), `attractor` (agreement attraction). Graded: `graded_d0` ... `graded_d14`. |
|
| 286 |
+
| `tier` | `open` (8 or more lexical pairs), `closed` (function-word cues, few possible pairs), `diag` (a single lexeme pair; clusters are templates). Tiers should not be pooled. |
|
| 287 |
+
| `linguistic_level` | One of eight levels: lexical_semantics, world_knowledge, morphology, morphosyntax, lexicalized_syntax, collocation, semantics, phonology. |
|
| 288 |
+
| `pos_tag` | Part of speech of the cue word. |
|
| 289 |
+
| `anchor` | (`default` only) Literature that inspired the task (inspiration only; no text is copied). |
|
| 290 |
+
| `calibration_status` | (`default` only) `capable` or `limited`: whether the d12/d16/d20 nanochat models passed the discovery-pair baseline rule for this task (see Construction). |
|
| 291 |
+
| `filler_tokens` | (`graded_distance` only) Number of filler tokens inserted between cue and prediction: 0, 4, 7, 10 or 14. |
|
| 292 |
+
| `schema_version` | `lexve-v2.0` or `lexve-v2.0-graded`. |
|
| 293 |
+
| `known_issue`, `known_issue_note` | True for rows whose text has "a" before a vowel-initial word (e.g. "A eagle is a kind of"); kept unchanged, see Limitations. |
|
| 294 |
+
| `*_token_id`, `*_label_id`, `swap_pos`, `token_count`, `cue_gap` | **Tokenizer-specific** (nanochat BPE, see below): token ids of the cue and label, cue token position, prompt length in tokens, and tokens between cue and prediction. |
|
| 295 |
+
|
| 296 |
+
**Model-agnostic vs tokenizer-specific.** Every text, word, label-string, class, task and metadata field is model-agnostic.
|
| 297 |
+
The token-id and position fields refer to the **nanochat BPE tokenizer** (Karpathy's nanochat, MIT license; tokenizer
|
| 298 |
+
`tokenizer.pkl` sha256 `387cfc082b0bee45467774fd6f1310a922ad170886a58ccddcb468f275e06a6c`). With another tokenizer,
|
| 299 |
+
re-tokenize `base_text` / `source_text` and the labels. Cue words and labels were chosen to be single tokens with a leading
|
| 300 |
+
space under nanochat, so some may split into several tokens elsewhere.
|
| 301 |
+
|
| 302 |
+
## Splits
|
| 303 |
+
|
| 304 |
+
- `discovery` and `evaluation` are assigned by lexical pair: even `pair_index` → discovery, odd → evaluation. Exceptions:
|
| 305 |
+
`article_phonology` splits by template and `food_selection` by lexeme.
|
| 306 |
+
- Within a task (excluding `diag` tier), no cue word appears in both splits, so held-out results test generalization to
|
| 307 |
+
new words.
|
| 308 |
+
- Use `discovery` to choose anything (heads, directions, hyperparameters) and report on `evaluation`.
|
| 309 |
+
- Each pair appears in both directions (`a_to_b`, `b_to_a`). For confidence intervals, resample by `cluster_id`, not by row.
|
| 310 |
+
|
| 311 |
+
## Construction
|
| 312 |
+
|
| 313 |
+
- **Hand-written.** Class word lists, pairings and sentence templates were written by hand
|
| 314 |
+
(`specs_v2.py`). Cross-class pairs were matched roughly by corpus frequency. No row was generated by a language model.
|
| 315 |
+
Pairs were never selected or dropped based on any model's intervention results.
|
| 316 |
+
- **Tokenizer screen.** Every cue and label had to be a single nanochat token with a leading space and to align in every
|
| 317 |
+
template. Pairs that failed BPE alignment were rejected (listed in `provenance/manifest_*.json`).
|
| 318 |
+
- **Template calibration (baseline only, discovery pairs only).** Templates were kept if, averaged over three nanochat
|
| 319 |
+
models (d12, d16, d20 with value embeddings), at least 50% of discovery pairs were predicted correctly in both directions
|
| 320 |
+
and the two labels held at least 2% of probability mass. Evaluation pairs never influenced selection. Tasks with fewer
|
| 321 |
+
than two surviving near templates are kept and marked `calibration_status: limited`. The per-template numbers are in
|
| 322 |
+
`provenance/template_selection.json`, and baseline accuracy and label mass per task and model are in
|
| 323 |
+
`provenance/baseline_competence.json`.
|
| 324 |
+
- **Graded distance.** Uses the same pairs with one stem per task plus fixed filler phrases
|
| 325 |
+
(`", it seems,"`, `", as far as we know,"`, ...). The stems and fillers are in `provenance/manifest_graded.json`.
|
| 326 |
+
- **Inspirations, not sources.** Task designs draw on CausalGym, BLiMP, RAVEL, COMPS, Ettinger (2020), Warstadt et al.
|
| 327 |
+
(2019) and Chierchia (1998) (field `anchor`). No text was copied from these resources.
|
| 328 |
+
|
| 329 |
+
## Limitations
|
| 330 |
+
|
| 331 |
+
- **Ungrammatical article rows.** 22 rows in `default` (11 distinct texts) and
|
| 332 |
+
30 rows in `graded_distance` (15 texts) put "a" before a vowel-initial word: "A eagle /
|
| 333 |
+
eel / owl is a kind of" (`hypernym_class`), "a aircraft" (`determiner_number`), "a audible" (`sensory_modality`). They are
|
| 334 |
+
kept unchanged so the data match published results, and flagged with `known_issue`. Filter them out with
|
| 335 |
+
`ds.filter(lambda r: not r["known_issue"])`.
|
| 336 |
+
- **Calibration circularity.** Templates were chosen using baselines of the same nanochat models the dataset was first used
|
| 337 |
+
to analyse (discovery pairs only). Results on other models do not inherit this bias, but results on those three models
|
| 338 |
+
should be read with it in mind.
|
| 339 |
+
- **Small tasks.** Four `diag` tasks have a single lexical pair (`article_phonology`, `correlative`, `light_verb`,
|
| 340 |
+
`range_preposition`); their clusters are templates. Several `closed` tasks have only 4-9 pairs.
|
| 341 |
+
- **Weak baselines.** Four tasks are `limited` (`article_phonology`, `dative_alternation`, `light_verb`, `pronoun_case`).
|
| 342 |
+
In the calibration models, label mass is low for some tasks (`pronoun_case` about 2%, `article_phonology` 1-2%,
|
| 343 |
+
`light_verb` 3-5%).
|
| 344 |
+
- **Cue reuse.** Some cue words appear in more than one task (e.g. "actor").
|
| 345 |
+
- **Scope.** English only. Gender pairs are binary (masculine/feminine nouns). Labels are a single next token, so this is
|
| 346 |
+
a two-way forced choice, not a test of fluent generation.
|
| 347 |
+
|
| 348 |
+
## Provenance and integrity
|
| 349 |
+
|
| 350 |
+
The Parquet files are a lossless conversion of the frozen JSONL files plus the two `known_issue` columns, verified value by
|
| 351 |
+
value. The source hashes are:
|
| 352 |
+
|
| 353 |
+
| Config | Source file | sha256 |
|
| 354 |
+
|---|---|---|
|
| 355 |
+
| `default` | `lexve_v2.jsonl` | `3b8a30a8f989a900026bfaf0c480a7e00a516a400270db6b2c79db94b7d957e2` |
|
| 356 |
+
| `graded_distance` | `lexve_v2_graded.jsonl` | `72028c0b5fdc7067f568722b25c0d39c549d598be3af9011891d9a592fcff6b9` |
|
| 357 |
+
|
| 358 |
+
`SHA256SUMS` covers every file in this repository.
|
| 359 |
+
|
| 360 |
+
## License
|
| 361 |
+
|
| 362 |
+
[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
|
| 363 |
+
|
| 364 |
+
## Citation
|
| 365 |
+
|
| 366 |
+
```bibtex
|
| 367 |
+
@misc{lexve2026,
|
| 368 |
+
title = {LexVE: Lexical Minimal Pairs for Word-Level Interventions},
|
| 369 |
+
author = {AUTHORS_TBD},
|
| 370 |
+
year = {2026},
|
| 371 |
+
howpublished = {\url{https://huggingface.co/datasets/aadityabuilds/lexve}}
|
| 372 |
+
}
|
| 373 |
+
```
|
SHA256SUMS
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9e79eb34949afcbd09f3880e6a6ff62ea62458db3486e9437c69ba1c39bbd4de README.md
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026d128a5b9faa7afb2eb981230a19da073e824389e277143ecc9ec1447856b6 data/default/discovery.parquet
|
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2ca37f7e9d27c504d40f5bcc5b8c5a3ed27448c4a0b1761f731ec11f22ab2555 data/graded_distance/evaluation.parquet
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c6717f132f7e91419c88a8768917851c97f395f398a6e976d289a473142a0238 provenance/baseline_competence.json
|
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f9e9d78fca259515bdf4744fe2dab4a5bccb1b522349ccdcebec4e23682bde27 provenance/manifest_graded.json
|
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e7e9809a1048cfe882faa68870db24297aa42e826a9c367f47b0205b1aad3440 provenance/manifest_v2.json
|
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+
5022740d7d46cbd57add88aaffd3343de89f9600f4e992e0885dfe0049d11b38 provenance/template_selection.json
|
data/default/discovery.parquet
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data/default/evaluation.parquet
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version https://git-lfs.github.com/spec/v1
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|
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data/graded_distance/discovery.parquet
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|
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size 46034
|
data/graded_distance/evaluation.parquet
ADDED
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version https://git-lfs.github.com/spec/v1
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|
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|
provenance/baseline_competence.json
ADDED
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|
| 534 |
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}
|
provenance/manifest_graded.json
ADDED
|
@@ -0,0 +1,651 @@
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| 1 |
+
{
|
| 2 |
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|
| 3 |
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"fillers": {
|
| 4 |
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"0": "",
|
| 5 |
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"4": ", it seems,",
|
| 6 |
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"7": ", as far as we know,",
|
| 7 |
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"10": ", as far as anyone in town could tell,",
|
| 8 |
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"14": ", it seems, as far as anyone in the town could tell,"
|
| 9 |
+
},
|
| 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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"agreed",
|
| 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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| 32 |
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|
| 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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| 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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|
| 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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| 59 |
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|
| 60 |
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| 61 |
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| 62 |
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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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| 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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|
| 75 |
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|
| 76 |
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| 77 |
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| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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| 104 |
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| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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| 131 |
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| 132 |
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| 133 |
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| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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{
|
| 156 |
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|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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{
|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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|
| 171 |
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|
| 172 |
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|
| 173 |
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{
|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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|
| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
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{
|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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{
|
| 192 |
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|
| 193 |
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|
| 194 |
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"dreamed",
|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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|
| 205 |
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|
| 206 |
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|
| 207 |
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|
| 208 |
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|
| 209 |
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{
|
| 210 |
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|
| 211 |
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|
| 212 |
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"dreamed",
|
| 213 |
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|
| 214 |
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|
| 215 |
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|
| 216 |
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"task": "prep_government_mixed"
|
| 217 |
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|
| 218 |
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{
|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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|
| 223 |
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|
| 224 |
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|
| 225 |
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|
| 226 |
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|
| 227 |
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|
| 228 |
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|
| 229 |
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| 230 |
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| 231 |
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| 232 |
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| 233 |
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|
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|
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|
| 397 |
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|
| 400 |
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|
| 401 |
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|
| 402 |
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|
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|
| 404 |
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|
| 405 |
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|
| 406 |
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|
| 407 |
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{
|
| 408 |
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|
| 409 |
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| 410 |
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|
| 411 |
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|
| 412 |
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|
| 413 |
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|
| 414 |
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|
| 415 |
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| 420 |
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"adj_prep_of_with": "The committee seemed {w}{fill}",
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"adj_prep_to_from": "The committee seemed {w}{fill}",
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| 423 |
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| 424 |
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"country_language": "The official language of {w}{fill} is",
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| 425 |
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"determiner_number": "Apparently {w} deer{fill}",
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| 426 |
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"gender_pronoun": "The {w}{fill} said that",
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| 427 |
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"gerund_vs_infinitive": "Honestly, my brother {w}{fill}",
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| 428 |
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"hypernym_class": "A {w}{fill} is a kind of",
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| 429 |
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| 430 |
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"irregular_number": "I think the {w}{fill}",
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| 431 |
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"modal_bare_vs_to": "In this situation, they {w}{fill}",
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| 432 |
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"noun_prep_for_in": "There was a clear {w}{fill}",
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| 433 |
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"noun_prep_on_to": "The government announced a new {w}{fill}",
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| 434 |
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"prep_government_mixed": "Later that day, Sam {w}{fill}",
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| 435 |
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"temporal_tense": "The coach said that {w}{fill} the team",
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| 436 |
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| 437 |
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"verb_prep_in_with": "For many years, the town {w}{fill}",
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| 438 |
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"verb_prep_on_to": "For many years, the town {w}{fill}"
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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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|
| 640 |
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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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|
| 649 |
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|
| 650 |
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|
| 651 |
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}
|
provenance/manifest_v2.json
ADDED
|
@@ -0,0 +1,1219 @@
|
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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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"pos": "verb",
|
| 1154 |
+
"rows": 48,
|
| 1155 |
+
"status": "capable",
|
| 1156 |
+
"templates": [
|
| 1157 |
+
"verb_prep_from_of::shared::t0",
|
| 1158 |
+
"verb_prep_from_of::shared::t1",
|
| 1159 |
+
"verb_prep_from_of::shared::t2",
|
| 1160 |
+
"verb_prep_from_of::shared::t3"
|
| 1161 |
+
],
|
| 1162 |
+
"tier": "closed"
|
| 1163 |
+
},
|
| 1164 |
+
"verb_prep_in_with": {
|
| 1165 |
+
"clusters": 6,
|
| 1166 |
+
"discovery_clusters": 3,
|
| 1167 |
+
"evaluation_clusters": 3,
|
| 1168 |
+
"frames": [
|
| 1169 |
+
"far",
|
| 1170 |
+
"near"
|
| 1171 |
+
],
|
| 1172 |
+
"level": "lexicalized_syntax",
|
| 1173 |
+
"pairs": 6,
|
| 1174 |
+
"pos": "verb",
|
| 1175 |
+
"rows": 48,
|
| 1176 |
+
"status": "capable",
|
| 1177 |
+
"templates": [
|
| 1178 |
+
"verb_prep_in_with::shared::t0",
|
| 1179 |
+
"verb_prep_in_with::shared::t1",
|
| 1180 |
+
"verb_prep_in_with::shared::t2",
|
| 1181 |
+
"verb_prep_in_with::shared::t3"
|
| 1182 |
+
],
|
| 1183 |
+
"tier": "closed"
|
| 1184 |
+
},
|
| 1185 |
+
"verb_prep_on_to": {
|
| 1186 |
+
"clusters": 8,
|
| 1187 |
+
"discovery_clusters": 4,
|
| 1188 |
+
"evaluation_clusters": 4,
|
| 1189 |
+
"frames": [
|
| 1190 |
+
"far",
|
| 1191 |
+
"near"
|
| 1192 |
+
],
|
| 1193 |
+
"level": "lexicalized_syntax",
|
| 1194 |
+
"pairs": 8,
|
| 1195 |
+
"pos": "verb",
|
| 1196 |
+
"rows": 64,
|
| 1197 |
+
"status": "capable",
|
| 1198 |
+
"templates": [
|
| 1199 |
+
"verb_prep_on_to::shared::t0",
|
| 1200 |
+
"verb_prep_on_to::shared::t1",
|
| 1201 |
+
"verb_prep_on_to::shared::t2",
|
| 1202 |
+
"verb_prep_on_to::shared::t3"
|
| 1203 |
+
],
|
| 1204 |
+
"tier": "open"
|
| 1205 |
+
}
|
| 1206 |
+
},
|
| 1207 |
+
"template_rule": {
|
| 1208 |
+
"min_label_mass": 0.02,
|
| 1209 |
+
"min_paired_success": 0.5,
|
| 1210 |
+
"min_templates_capable": 2,
|
| 1211 |
+
"models": [
|
| 1212 |
+
"d12_ve",
|
| 1213 |
+
"d16_ve",
|
| 1214 |
+
"d20_ve"
|
| 1215 |
+
],
|
| 1216 |
+
"selection_split": "discovery"
|
| 1217 |
+
},
|
| 1218 |
+
"tokenizer_sha256": "387cfc082b0bee45467774fd6f1310a922ad170886a58ccddcb468f275e06a6c"
|
| 1219 |
+
}
|
provenance/template_selection.json
ADDED
|
@@ -0,0 +1,216 @@
|
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|
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|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"rule": {
|
| 3 |
+
"min_paired_success": 0.5,
|
| 4 |
+
"min_label_mass": 0.02,
|
| 5 |
+
"min_templates_capable": 2,
|
| 6 |
+
"selection_split": "discovery",
|
| 7 |
+
"models": [
|
| 8 |
+
"d12_ve",
|
| 9 |
+
"d16_ve",
|
| 10 |
+
"d20_ve"
|
| 11 |
+
]
|
| 12 |
+
},
|
| 13 |
+
"kept_templates": [
|
| 14 |
+
"animacy_relative::shared::t0",
|
| 15 |
+
"animacy_relative::shared::t1",
|
| 16 |
+
"animacy_relative::shared::t2",
|
| 17 |
+
"animacy_relative::shared::t3",
|
| 18 |
+
"entity_type::shared::t0",
|
| 19 |
+
"entity_type::shared::t1",
|
| 20 |
+
"entity_type::shared::t2",
|
| 21 |
+
"gender_pronoun::shared::t0",
|
| 22 |
+
"gender_pronoun::shared::t1",
|
| 23 |
+
"gender_pronoun::shared::t2",
|
| 24 |
+
"gender_pronoun::shared::t3",
|
| 25 |
+
"gender_pronoun::shared::t4",
|
| 26 |
+
"sensory_modality::shared::t0",
|
| 27 |
+
"sensory_modality::shared::t1",
|
| 28 |
+
"sensory_modality::shared::t2",
|
| 29 |
+
"food_selection::past::t0",
|
| 30 |
+
"food_selection::past::t1",
|
| 31 |
+
"food_selection::past::t2",
|
| 32 |
+
"food_selection::base::t0",
|
| 33 |
+
"food_selection::base::t1",
|
| 34 |
+
"food_selection::base::t2",
|
| 35 |
+
"country_language::shared::t0",
|
| 36 |
+
"country_language::shared::t1",
|
| 37 |
+
"country_language::shared::t2",
|
| 38 |
+
"country_language::shared::t3",
|
| 39 |
+
"irregular_number::shared::t0",
|
| 40 |
+
"irregular_number::shared::t1",
|
| 41 |
+
"irregular_number::shared::t2",
|
| 42 |
+
"irregular_number::shared::t3",
|
| 43 |
+
"irregular_number::shared::t4",
|
| 44 |
+
"determiner_number::shared::t0",
|
| 45 |
+
"determiner_number::shared::t1",
|
| 46 |
+
"determiner_number::shared::t2",
|
| 47 |
+
"determiner_number::shared::t3",
|
| 48 |
+
"determiner_number::shared::t4",
|
| 49 |
+
"determiner_number::shared::t5",
|
| 50 |
+
"partitive_agreement::shared::t0",
|
| 51 |
+
"partitive_agreement::shared::t1",
|
| 52 |
+
"partitive_agreement::shared::t2",
|
| 53 |
+
"partitive_agreement::shared::t3",
|
| 54 |
+
"numeral_noun_number::shared::t0",
|
| 55 |
+
"numeral_noun_number::shared::t1",
|
| 56 |
+
"numeral_noun_number::shared::t2",
|
| 57 |
+
"numeral_noun_number::shared::t3",
|
| 58 |
+
"mass_count::q::t0",
|
| 59 |
+
"mass_count::q::t1",
|
| 60 |
+
"mass_count::n::t0",
|
| 61 |
+
"mass_count::n::t1",
|
| 62 |
+
"mass_count::n::t2",
|
| 63 |
+
"mass_count::n::t3",
|
| 64 |
+
"comparative_than::shared::t0",
|
| 65 |
+
"comparative_than::shared::t1",
|
| 66 |
+
"comparative_than::shared::t2",
|
| 67 |
+
"comparative_than::shared::t3",
|
| 68 |
+
"complement_clause::shared::t0",
|
| 69 |
+
"complement_clause::shared::t1",
|
| 70 |
+
"complement_clause::shared::t2",
|
| 71 |
+
"complement_clause::shared::t3",
|
| 72 |
+
"infinitive_vs_object::shared::t0",
|
| 73 |
+
"infinitive_vs_object::shared::t1",
|
| 74 |
+
"infinitive_vs_object::shared::t2",
|
| 75 |
+
"transitivity::shared::t0",
|
| 76 |
+
"transitivity::shared::t1",
|
| 77 |
+
"transitivity::shared::t2",
|
| 78 |
+
"dative_alternation::shared::t2",
|
| 79 |
+
"particle_up_out::shared::t0",
|
| 80 |
+
"particle_up_out::shared::t1",
|
| 81 |
+
"particle_up_out::shared::t2",
|
| 82 |
+
"particle_up_out::shared::t3",
|
| 83 |
+
"verb_prep_on_to::shared::t0",
|
| 84 |
+
"verb_prep_on_to::shared::t1",
|
| 85 |
+
"verb_prep_on_to::shared::t2",
|
| 86 |
+
"verb_prep_on_to::shared::t3",
|
| 87 |
+
"verb_prep_from_of::shared::t0",
|
| 88 |
+
"verb_prep_from_of::shared::t1",
|
| 89 |
+
"verb_prep_from_of::shared::t2",
|
| 90 |
+
"verb_prep_from_of::shared::t3",
|
| 91 |
+
"verb_prep_in_with::shared::t0",
|
| 92 |
+
"verb_prep_in_with::shared::t1",
|
| 93 |
+
"verb_prep_in_with::shared::t2",
|
| 94 |
+
"verb_prep_in_with::shared::t3",
|
| 95 |
+
"prep_government_mixed::shared::t0",
|
| 96 |
+
"prep_government_mixed::shared::t1",
|
| 97 |
+
"prep_government_mixed::shared::t2",
|
| 98 |
+
"prep_government_mixed::shared::t3",
|
| 99 |
+
"adj_prep_of_with::shared::t0",
|
| 100 |
+
"adj_prep_of_with::shared::t1",
|
| 101 |
+
"adj_prep_of_with::shared::t2",
|
| 102 |
+
"adj_prep_of_with::shared::t3",
|
| 103 |
+
"adj_prep_to_from::shared::t0",
|
| 104 |
+
"adj_prep_to_from::shared::t1",
|
| 105 |
+
"adj_prep_to_from::shared::t2",
|
| 106 |
+
"adj_prep_to_from::shared::t3",
|
| 107 |
+
"noun_prep_for_in::shared::t0",
|
| 108 |
+
"noun_prep_for_in::shared::t1",
|
| 109 |
+
"noun_prep_for_in::shared::t2",
|
| 110 |
+
"noun_prep_on_to::shared::t0",
|
| 111 |
+
"noun_prep_on_to::shared::t1",
|
| 112 |
+
"noun_prep_on_to::shared::t2",
|
| 113 |
+
"modal_bare_vs_to::shared::t0",
|
| 114 |
+
"modal_bare_vs_to::shared::t1",
|
| 115 |
+
"modal_bare_vs_to::shared::t2",
|
| 116 |
+
"modal_bare_vs_to::shared::t3",
|
| 117 |
+
"npi_licensing::pron::t0",
|
| 118 |
+
"npi_licensing::pron::t1",
|
| 119 |
+
"npi_licensing::pron::t2",
|
| 120 |
+
"npi_licensing::adv::t0",
|
| 121 |
+
"npi_licensing::adv::t1",
|
| 122 |
+
"npi_licensing::adv::t2",
|
| 123 |
+
"npi_licensing::prep::t0",
|
| 124 |
+
"npi_licensing::prep::t1",
|
| 125 |
+
"npi_licensing::prep::t2",
|
| 126 |
+
"npi_licensing::det::t0",
|
| 127 |
+
"npi_licensing::det::t2",
|
| 128 |
+
"temporal_tense::adv::t0",
|
| 129 |
+
"temporal_tense::adv::t1",
|
| 130 |
+
"temporal_tense::adv::t2",
|
| 131 |
+
"temporal_tense::adj::t0",
|
| 132 |
+
"temporal_tense::adj::t1",
|
| 133 |
+
"temporal_tense::adj::t2",
|
| 134 |
+
"article_phonology::shared::t0",
|
| 135 |
+
"article_phonology::shared::t1",
|
| 136 |
+
"article_phonology::shared::t3",
|
| 137 |
+
"article_phonology::shared::t5",
|
| 138 |
+
"time_place_relative::shared::t0",
|
| 139 |
+
"time_place_relative::shared::t1",
|
| 140 |
+
"time_place_relative::shared::t2",
|
| 141 |
+
"hypernym_class::shared::t0",
|
| 142 |
+
"hypernym_class::shared::t1",
|
| 143 |
+
"hypernym_class::shared::t2",
|
| 144 |
+
"hypernym_class::shared::t3",
|
| 145 |
+
"pronoun_case::shared::t2",
|
| 146 |
+
"gerund_vs_infinitive::shared::t0",
|
| 147 |
+
"gerund_vs_infinitive::shared::t1",
|
| 148 |
+
"gerund_vs_infinitive::shared::t2",
|
| 149 |
+
"gerund_vs_infinitive::shared::t3",
|
| 150 |
+
"correlative::shared::t0",
|
| 151 |
+
"correlative::shared::t1",
|
| 152 |
+
"correlative::shared::t2",
|
| 153 |
+
"correlative::shared::t3",
|
| 154 |
+
"correlative::shared::t4",
|
| 155 |
+
"correlative::shared::t5",
|
| 156 |
+
"range_preposition::shared::t0",
|
| 157 |
+
"range_preposition::shared::t1",
|
| 158 |
+
"range_preposition::shared::t2",
|
| 159 |
+
"range_preposition::shared::t3",
|
| 160 |
+
"range_preposition::shared::t4",
|
| 161 |
+
"range_preposition::shared::t5",
|
| 162 |
+
"container_noun::shared::t0",
|
| 163 |
+
"container_noun::shared::t1",
|
| 164 |
+
"container_noun::shared::t2",
|
| 165 |
+
"container_noun::shared::t3",
|
| 166 |
+
"unit_ago_away::shared::t0",
|
| 167 |
+
"unit_ago_away::shared::t1",
|
| 168 |
+
"unit_ago_away::shared::t2",
|
| 169 |
+
"unit_ago_away::shared::t3",
|
| 170 |
+
"light_verb::shared::t1",
|
| 171 |
+
"light_verb::shared::t2",
|
| 172 |
+
"light_verb::shared::t3",
|
| 173 |
+
"light_verb::shared::t4",
|
| 174 |
+
"light_verb::shared::t5"
|
| 175 |
+
],
|
| 176 |
+
"task_status": {
|
| 177 |
+
"animacy_relative": "capable",
|
| 178 |
+
"entity_type": "capable",
|
| 179 |
+
"gender_pronoun": "capable",
|
| 180 |
+
"sensory_modality": "capable",
|
| 181 |
+
"food_selection": "capable",
|
| 182 |
+
"country_language": "capable",
|
| 183 |
+
"irregular_number": "capable",
|
| 184 |
+
"determiner_number": "capable",
|
| 185 |
+
"partitive_agreement": "capable",
|
| 186 |
+
"numeral_noun_number": "capable",
|
| 187 |
+
"mass_count": "capable",
|
| 188 |
+
"comparative_than": "capable",
|
| 189 |
+
"complement_clause": "capable",
|
| 190 |
+
"infinitive_vs_object": "capable",
|
| 191 |
+
"transitivity": "capable",
|
| 192 |
+
"dative_alternation": "limited",
|
| 193 |
+
"particle_up_out": "capable",
|
| 194 |
+
"verb_prep_on_to": "capable",
|
| 195 |
+
"verb_prep_from_of": "capable",
|
| 196 |
+
"verb_prep_in_with": "capable",
|
| 197 |
+
"prep_government_mixed": "capable",
|
| 198 |
+
"adj_prep_of_with": "capable",
|
| 199 |
+
"adj_prep_to_from": "capable",
|
| 200 |
+
"noun_prep_for_in": "capable",
|
| 201 |
+
"noun_prep_on_to": "capable",
|
| 202 |
+
"modal_bare_vs_to": "capable",
|
| 203 |
+
"npi_licensing": "capable",
|
| 204 |
+
"temporal_tense": "capable",
|
| 205 |
+
"article_phonology": "limited",
|
| 206 |
+
"time_place_relative": "capable",
|
| 207 |
+
"hypernym_class": "capable",
|
| 208 |
+
"pronoun_case": "limited",
|
| 209 |
+
"gerund_vs_infinitive": "capable",
|
| 210 |
+
"correlative": "capable",
|
| 211 |
+
"range_preposition": "capable",
|
| 212 |
+
"container_noun": "capable",
|
| 213 |
+
"unit_ago_away": "capable",
|
| 214 |
+
"light_verb": "limited"
|
| 215 |
+
}
|
| 216 |
+
}
|