SEP corpus
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
SEP corpus has 20 facts recorded in Dontopedia across 6 references, with 1 live disagreement.
Mostly:rdf:type(2), causes training noise(1), is heavily academic(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (8)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
originatesFromOriginates From(2)
- Citation Fragments
ex:citation-fragments - Noise From Citation Patterns
ex:noise-from-citation-patterns
trainedOnTrained on(2)
- Akan Gpt2 Model
ex:akan-gpt2-model - Akan Gpt2 Model
ex:akan-gpt2-model
attributesCauseToAttributes Cause to(1)
- Model Noise Observation
ex:model-noise-observation
originatesInOriginates in(1)
- Academic Citation Patterns
ex:academic-citation-patterns
presupposesTrainingOnPhilosophyPresupposes Training on Philosophy(1)
- System
ex:system
usesCorpusUses Corpus(1)
- Training Run Akan Gpt2
ex:training-run-akan-gpt2
Other facts (17)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Corpus | [5] |
| Rdf:type | Corpus | [6] |
| Causes Training Noise | null | [1] |
| Is Heavily Academic | null | [1] |
| Has Bibliographic Patterns | null | [1] |
| Refers to | Stanford Encyclopedia of Philosophy | [2] |
| Causes Noise in | Generation Results | [2] |
| Used in Training | System | [2] |
| Is Academic Corpus | True | [3] |
| Dominates Shorter Outputs | True | [3] |
| Has Heavy Academic Formatting | True | [3] |
| Has Token Count | 37000000 | [3] |
| Causes Heavy Citation Bibliography Noise | True | [3] |
| References Stanford Encyclopedia of Philosophy | True | [3] |
| Has Topic | Philosophy | [5] |
| Has Formatting Style | academic-encyclopedia-formatting | [5] |
| Has Property | bibliographic-patterns | [6] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (6)
ctx:discord/blah/watt-activation/part-87ctx:discord/blah/watt-activation/part-85ctx:discord/blah/watt-activation/part-86ctx:discord/blah/watt-activation/85- full textwatt-activation-85text/plain2 KB
doc:agent/watt-activation-85/b1a31f0b-7660-43a8-9164-bb9aa2412b9fShow excerpt
[2026-03-07 21:00] xenonfun: 10. Overall status From the logs and your earlier scaling tests: ``` implementation: stable memory: linear numerics: stable training: behaving normally performance: expected ``` So the system is now in real tra…
ctx:discord/blah/watt-activation/86- full textwatt-activation-86text/plain3 KB
doc:agent/watt-activation-86/bc7a2772-1179-48c1-afbe-4b1a0bbfd051Show excerpt
[2026-03-07 21:13] xenonfun: ``` iter 2500/10000 | loss=4.5293 | PPL=92.7 | lr=2.82e-04 | 2.2 it/s (9.1K tok/s) | mem=1848MB peak=20665MB iter 3000/10000 | loss=4.5102 | PPL=90.9 | lr=2.68e-04 | 2.2 it/s (9.1K tok/s) | mem=1848MB peak=2…
ctx:discord/blah/watt-activation/87- full textwatt-activation-87text/plain2 KB
doc:agent/watt-activation-87/21549fe5-2355-4b51-9d7e-42d9fb1af8c0Show excerpt
[2026-03-07 21:54] xenonfun: ``` iter 8000/10000 | loss=4.2647 | PPL=71.1 | lr=6.16e-05 | 2.2 it/s (9.1K tok/s) | mem=1848MB peak=20665MB Saved checkpoint: ./akan_gpt2_checkpoints/checkpoint_iter_8000.npz iter 8500/10000 | loss=4.2438…
See also
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