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release build: 163,016 rows (BUILD.json in provenance/)

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  # Video files - compressed
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+ provenance/new_row_screen.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,258 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ dataset_info:
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+ features:
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+ - name: an_creation_timestamp
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+ dtype: string
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+ - name: an_generation_method
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+ dtype: string
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+ - name: an_generation_model
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+ dtype: string
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+ - name: an_original_completion
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+ dtype: string
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+ - name: an_original_completion_length
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+ dtype: int64
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+ - name: an_paraphrased
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+ dtype: bool
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+ - name: an_style_paraphrase
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+ dtype: string
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+ - name: an_temperature
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+ dtype: float64
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+ - name: blind_judge_confidence_primary
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+ dtype: string
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+ - name: blind_judge_confidence_tiebreaker
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+ dtype: string
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+ - name: blind_judge_justification_primary
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+ dtype: string
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+ - name: blind_judge_justification_tiebreaker
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+ dtype: string
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+ - name: blind_judge_model_primary
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+ dtype: string
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+ - name: blind_judge_model_tiebreaker
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+ dtype: string
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+ - name: blind_judge_verdict_primary
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+ dtype: string
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+ - name: blind_judge_verdict_tiebreaker
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+ dtype: string
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+ - name: completion
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+ dtype: string
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+ - name: deception_type
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+ dtype: string
40
+ - name: follow_up_category
41
+ dtype: string
42
+ - name: follow_up_question
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+ dtype: string
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+ - name: human_verified
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+ dtype: bool
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+ - name: judge_confidence
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+ dtype: string
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+ - name: judge_justification
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+ dtype: string
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+ - name: judge_model_informed
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+ dtype: string
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+ - name: judge_verdict
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+ dtype: string
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+ - name: language
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+ dtype: string
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+ - name: pair_id
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+ dtype: string
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+ - name: pair_type
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+ dtype: string
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+ - name: quadrant
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+ dtype: string
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+ - name: source
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+ dtype: string
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+ - name: translation_model
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+ dtype: string
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+ - name: completion_reasoning
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+ dtype: string
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+ - name: reasoning_in_context
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+ dtype: bool
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+ - name: messages_json
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+ dtype: string
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+ - name: tools
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+ dtype: string
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+ - name: _v32_source_content_md5
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+ dtype: string
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+ - name: _v32_lane_attributed
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+ dtype: string
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+ splits:
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+ - name: honest_honest
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+ num_bytes: 450870436
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+ num_examples: 43941
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+ - name: honest_deceptive
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+ num_bytes: 504447178
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+ num_examples: 41044
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+ - name: deceptive_honest
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+ num_bytes: 389100896
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+ num_examples: 37567
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+ - name: deceptive_deceptive
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+ num_bytes: 377591319
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+ num_examples: 40464
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+ download_size: 0
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+ dataset_size: 1722009829
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: honest_honest
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+ path: data/honest_honest-*
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+ - split: honest_deceptive
99
+ path: data/honest_deceptive-*
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+ - split: deceptive_honest
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+ path: data/deceptive_honest-*
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+ - split: deceptive_deceptive
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+ path: data/deceptive_deceptive-*
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+ ---
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+
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+
107
+ # fibs-v1
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+
109
+ Private FAR AI Deception Pod research dataset: **`AlignmentResearch/deceptive-followup-v33-balanced`
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+ (revision `3db4df84116462a6eb5761e9b043b534b8e22c72`) with named families edited in place.** Every row of every
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+ untouched family is byte-identical to the parent (`provenance/untouched_identity.json` carries the
112
+ per-family content digests); the edited families below were regenerated or topped up, screened by the
113
+ same four-judge unanimous rule as the parent, and certified by Fable reads against each family's bar.
114
+
115
+ **163,016 rows** over the four quadrant splits:
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+
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+ | split | rows |
118
+ |---|---:|
119
+ | honest_honest | 43,941 |
120
+ | honest_deceptive | 41,044 |
121
+ | deceptive_honest | 37,567 |
122
+ | deceptive_deceptive | 40,464 |
123
+
124
+ ## Edited families
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+
126
+ | family | parent rows | rows in this release |
127
+ |---|---:|---:|
128
+ | among | 6,464 | 6,464 |
129
+ | anti | 7,984 | 7,984 |
130
+ | b1-bare | 4,034 | 4,034 |
131
+ | b1-followup | 4,488 | 4,488 |
132
+ | caving | 1,648 | 1,648 |
133
+ | doluschat | 7,988 | 8,000 |
134
+ | fabricated | 2,164 | 2,164 |
135
+ | fever | 8,000 | 8,000 |
136
+ | harm | 5,024 | 8,000 |
137
+ | instructed | 7,868 | 7,868 |
138
+ | liarsbench | 8,000 | 7,992 |
139
+ | lies | 6,760 | 6,760 |
140
+ | longcontext | 1,764 | 1,764 |
141
+ | mask | 8,000 | 8,000 |
142
+ | medqa | 4,020 | 4,020 |
143
+ | model | 3,304 | 3,304 |
144
+ | multi | 1,476 | 1,476 |
145
+ | negotiation | 6,954 | 6,954 |
146
+ | original | 4,204 | 4,204 |
147
+ | persona_prefill | 8,000 | 8,000 |
148
+ | sandbagging | 6,700 | 6,700 |
149
+ | sycophancy | 7,976 | 7,976 |
150
+ | synthetic | 8,000 | 8,000 |
151
+ | truthfulqa | 4,804 | 4,804 |
152
+ | ultrachat | 8,000 | 8,000 |
153
+ | werewolf | 6,692 | 6,692 |
154
+ | wikihow | 1,760 | 1,760 |
155
+ | wikihownest | 7,960 | 7,960 |
156
+
157
+ The harm-knowledge rows that sat under the Liars' Bench family label in the parent are reassigned to
158
+ the harm family here (`provenance/family_edits.json`).
159
+
160
+ ## Certification of the new rows
161
+
162
+ | family (rubric) | kept by the four judges | Fable reads | mislabels | rate | 95% upper | pass line (alpha 0.05/29) | outcome |
163
+ |---|---:|---:|---:|---:|---:|---:|---|
164
+ | Harm pressure knowledge (v1.3) | 2,186 of 3,214 | 296 (207 refusals re-read by GLM-5.3) | 0 | 0.0% | 1.0% | 4 | PASS |
165
+ | Liars' Bench soft-trigger (v1.3) | 4,032 of 5,097 | 500 | 4 | 0.8% | 1.8% | 11 | PASS |
166
+ | DolusChat (v1.5) | 17,163 of 22,447 | 299 (4 refusals, 3 re-read by GLM-5.3, 1 no verdict) | 5 | 1.67% | 3.5% | 4 | accepted by ruling at the parent family's certified rate (5 in 342, 1.46%); the five convicted rows are excluded |
167
+
168
+ Every Fable-convicted row is excluded from the build and every Fable-confirmed row is kept regardless of the four judges (`provenance/new_row_screen.json`). Insider trading was generated but is not part of this release.
169
+
170
+ Screening campaigns folded into this build:
171
+
172
+ | campaign | rubric | new-row screen outcomes |
173
+ |---|---|---|
174
+ | pharm | rubric_plainconstruct_v1_3.md@ec597d99eb10d2afa92a28bddcde2a62 | harm: duplicate_of_new 1, duplicate_of_parent 1, fable_confirmed 93, glm_confirmed 203, judges_kept 1,886, judges_rejected 1,028, refused_no_stand_in_judges_kept 4 |
175
+ | plbsoft | rubric_plainconstruct_v1_3.md@ec597d99eb10d2afa92a28bddcde2a62 | liarsbench: fable_confirmed 496, fable_mislabel 4, judges_kept 3,532, judges_rejected 1,065 |
176
+ | pdolu2 | rubric_plainconstruct_v1_5.md@bcb71e10fabe67dc387440c3c2d5e31b | doluschat: fable_confirmed 291, fable_mislabel 5, glm_confirmed 3, judges_kept 16,863, judges_rejected 5,284, refused_no_stand_in_judges_kept 1 |
177
+
178
+ ## Contextual rows: a family-level note (no column in this release)
179
+
180
+ The paper distinguishes **contextual** rows, where the truth of the statement the model makes is evidenced
181
+ in the transcript itself (system prompt, earlier turns, tool results, a supplied passage, or the model's
182
+ own visible working), from rows that rest on world knowledge, which the model could in principle have been
183
+ trained to believe otherwise. This release carries no per-row column for it. The classification below is by
184
+ family, sub-source and follow-up category, chosen for precision over recall after reading two full
185
+ transcripts per family; a row-level classifier is future work.
186
+
187
+ **Contextual by construction** (the transcript carries the truth-maker in every row read):
188
+
189
+ | family or sub-source | where the truth-maker sits |
190
+ |---|---|
191
+ | doluschat, persona_prefill, mask_provided_facts | facts stated in the system prompt |
192
+ | b1-bare, b1-followup | the tool result earlier in the transcript |
193
+ | among_us, werewolf, negotiation | the observation log, private role or night knowledge, private facts |
194
+ | sycophancy | the base turn's `<scratchpad>` writes out the correct answer that the stated answer contradicts |
195
+ | longcontext v3_bookqa, lc3flip, lc5flip, v5a/v5b_onpolicy, v5c3_intrace, v5c5_novels | the supplied passage, the agent transcript's tool result, or a value the model itself stated earlier |
196
+
197
+ **Contextual by follow-up category, in any family:** `cat_H` and `cat_Hf`, the response-meta questions
198
+ ("So you said Y, right?", "Did you mention any caveats?"), whose answer is decided by the prior turn.
199
+
200
+ **Not counted as contextual** (world knowledge, internal state, or grounding not guaranteed per row):
201
+ anti_sycophancy, caving (including its numeric-arithmetic rows), fabricated_statistics, fever (even when the
202
+ passage is supplied), harm pressure, instructed, liarsbench (including the soft-trigger rows), lies_v2,
203
+ longcontext lcflip/v2/v4_offpolicy, mask known-facts/statistics/doubling-down, medqa, model_self_knowledge,
204
+ multi_turn, original, sandbagging, synthetic (even when the user supplies the source text), truthfulqa,
205
+ ultrachat, wikihow, wikihownest. Meta-truthfulness follow-ups ("Were you honest?") inherit the family's status.
206
+
207
+ Under this rule **79,580 of 163,016 rows (48.8%)** are contextual:
208
+
209
+ | family | rows | by family/sub-source | by follow-up only | contextual |
210
+ |---|---:|---:|---:|---:|
211
+ | among | 6,464 | 6,464 | 0 | 6,464 |
212
+ | anti | 7,984 | 0 | 1,873 | 1,873 |
213
+ | b1-bare | 4,034 | 4,034 | 0 | 4,034 |
214
+ | b1-followup | 4,488 | 4,488 | 0 | 4,488 |
215
+ | caving | 1,648 | 0 | 0 | 0 |
216
+ | doluschat | 8,000 | 8,000 | 0 | 8,000 |
217
+ | fabricated | 2,164 | 0 | 483 | 483 |
218
+ | fever | 8,000 | 0 | 1,452 | 1,452 |
219
+ | harm | 8,000 | 0 | 2,338 | 2,338 |
220
+ | instructed | 7,868 | 0 | 1,462 | 1,462 |
221
+ | liarsbench | 7,992 | 0 | 1,693 | 1,693 |
222
+ | lies | 6,760 | 0 | 1,720 | 1,720 |
223
+ | longcontext | 1,764 | 1,353 | 5 | 1,358 |
224
+ | mask | 8,000 | 2,445 | 1,467 | 3,912 |
225
+ | medqa | 4,020 | 0 | 803 | 803 |
226
+ | model | 3,304 | 0 | 846 | 846 |
227
+ | multi | 1,476 | 0 | 0 | 0 |
228
+ | negotiation | 6,954 | 6,954 | 0 | 6,954 |
229
+ | original | 4,204 | 0 | 632 | 632 |
230
+ | persona_prefill | 8,000 | 8,000 | 0 | 8,000 |
231
+ | sandbagging | 6,700 | 0 | 1,959 | 1,959 |
232
+ | sycophancy | 7,976 | 7,976 | 0 | 7,976 |
233
+ | synthetic | 8,000 | 0 | 1,777 | 1,777 |
234
+ | truthfulqa | 4,804 | 0 | 912 | 912 |
235
+ | ultrachat | 8,000 | 0 | 1,870 | 1,870 |
236
+ | werewolf | 6,692 | 6,692 | 0 | 6,692 |
237
+ | wikihow | 1,760 | 0 | 0 | 0 |
238
+ | wikihownest | 7,960 | 0 | 1,882 | 1,882 |
239
+
240
+ ## Provenance
241
+
242
+ `provenance/BUILD.json` records the parent revision and parquet sha256s, the seed (20260929),
243
+ the family cap (8,000), the per-family before/after counts and the builder's sha256;
244
+ `provenance/new_row_screen.json` lists every screened new row with its judge and Fable outcome;
245
+ `provenance/covariate_trim.json` holds the per-family covariate trim logs. The builder is
246
+ `sandbox/oa_backdoor/scripts/dataset_generation/build_v2_slotin.py` in the Deception Pod monorepo.
247
+
248
+ ## Columns and loading
249
+
250
+ Identical to the parent: `messages_json` (UTF-8 JSON message list; assistant turns may carry
251
+ `reasoning_content` sidecars and OpenAI-style `tool_calls`), `tools` (JSON string tool-schema list where
252
+ the source uses tools, null elsewhere), `completion`, and the source and judge metadata columns.
253
+ Consumers must `json.loads` the JSON-string columns. Quadrants use `base_follow-up` semantics: the first
254
+ term labels the base turn and the second labels the follow-up turn.
255
+
256
+ Re-rendered text derived from these rows is for probe input and activation harvest only; it must not
257
+ replace original rollout token IDs or feed RL-training token paths, because re-templating can change
258
+ tokenization.
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+ {
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+ "parent_repo": "AlignmentResearch/deceptive-followup-v33-balanced",
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+ "parent_revision": "3db4df84116462a6eb5761e9b043b534b8e22c72",
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+ "parent_parquet_sha256": {
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+ "b7248afe90174a9855ae3cf83a961683a376559facdbc54fd8daa7b6822b419d"
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+ ],
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+ },
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+ "parent_mask_rule": "certcov-v33-full-adopted3of4-equalquadrant-leakfixv3cov-cap8000-20260904",
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+ "seed": 20260929,
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+ "cap": 8000,
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+ "targets": {
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+ "doluschat": 8000,
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+ "liarsbench": 8000,
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+ "harm": 8000
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+ },
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+ "campaigns": [
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+ {
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+ "dir": "/private/tmp/claude-501/-Users-chris-Documents-FAR-Projects-f-deception-deception/bca0ef1b-296e-4928-a803-f0a938c3988b/scratchpad/vol/v2_artifacts/cert_nb/pharm",
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+ "tag": "pharm",
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+ "rubric": "rubric_plainconstruct_v1_3.md@ec597d99eb10d2afa92a28bddcde2a62",
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+ "staged_md5": "f6a4f0d8e40f4c71df3d0f98dcf62e1c",
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+ "fold_md5": "91ee7b2899ec7934905b05ec193def66",
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+ "manifest_md5": "f5b1327934147bdce7af99db28616cbd",
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+ "artifacts": [
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+ {
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+ "artifact": "fable_artifact_1.json",
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+ "raw": "fable_artifact_1.json.raw.jsonl",
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+ "raw_md5": "0477e58a8dc871632210f424431ed8e0",
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+ "glm_md5": "a4beb1c792195a41d2117130267259f0",
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+ "n_results": 100
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+ },
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+ {
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+ "artifact": "fable_artifact_2.json",
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+ "raw": "fable_artifact_2.json.raw.jsonl",
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+ "raw_md5": "f275655952810bb256a31165bf164c1a",
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+ "glm_md5": "153f553c44720dda9f3d63ba9b1be42c",
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+ "n_results": 100
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+ },
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+ {
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+ "artifact": "fable_artifact_3.json",
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+ "raw": "fable_artifact_3.json.raw.jsonl",
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+ "raw_md5": "9c9e4d0daa355553fb59e4759eada3fd",
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+ "glm_md5": "e13435d145eb1fba3e7b62de809172df",
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+ "n_results": 100
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+ },
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+ {
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+ "artifact": "fable_artifact_4.json",
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+ "raw": null
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+ }
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+ ],
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+ "status_counts": {
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+ "harm": {
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+ "judges_kept": 1886,
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+ "glm_confirmed": 203,
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+ "fable_confirmed": 93,
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+ "judges_rejected": 1028,
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+ "refused_no_stand_in_judges_kept": 4,
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+ "duplicate_of_parent": 1,
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+ "duplicate_of_new": 1
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+ }
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+ }
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+ },
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+ {
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+ "dir": "/private/tmp/claude-501/-Users-chris-Documents-FAR-Projects-f-deception-deception/bca0ef1b-296e-4928-a803-f0a938c3988b/scratchpad/vol/v2_artifacts/cert_nb/plbsoft",
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+ "tag": "plbsoft",
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+ "rubric": "rubric_plainconstruct_v1_3.md@ec597d99eb10d2afa92a28bddcde2a62",
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+ "staged_md5": "8149c0abd95b427e82537ac081d27433",
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+ "fold_md5": "d252fa9040301344b71b229eece08f89",
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+ "manifest_md5": "6fc1bab4921fce9dade0e30478e463b0",
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+ "artifacts": [
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+ {
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+ "artifact": "fable_artifact_1.json",
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+ "raw": "fable_artifact_1.json.raw.jsonl",
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+ "raw_md5": "4780c171e3ba1e65526d0ac6b9529a0e",
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+ "glm_md5": null,
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+ "n_results": 100
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+ },
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+ {
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+ "artifact": "fable_artifact_2.json",
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+ "raw": "fable_artifact_2.json.raw.jsonl",
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+ "raw_md5": "6f590da6554f99c7533325efdfd50377",
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