everyday-conversations
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
everyday-conversations has 23 facts recorded in Dontopedia across 4 references, with 1 live disagreement.
Mostly:has risk(2), is useless alone(1), has epochs in3 hours(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (7)
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.
achievedByAchieved by(1)
- Chatty Baseline
ex:chatty-baseline
combinesCombines(1)
- Mix Datasets Proposal
ex:mix-datasets-proposal
comparesCompares(1)
- Datasets Table
ex:datasets-table
enablesEpochsForEnables Epochs for(1)
- Processing Capacity
ex:processing-capacity
includesDatasetIncludes Dataset(1)
- Mixed Dataset Proposal
ex:mixed-dataset-proposal
isRiskForSmallDatasetsIs Risk for Small Datasets(1)
- Overfitting
ex:overfitting
suggestsStartingDatasetSuggests Starting Dataset(1)
- Practical Recommendation Message
ex:practical-recommendation-message
Other facts (22)
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 |
|---|---|---|
| Has Risk | massive overfit, useless alone | [1] |
| Has Risk | Massive Overfit Risk | [4] |
| Is Useless Alone | true | [1] |
| Has Epochs In3 Hours | 800+ | [1] |
| Has Estimated Tokens | 160000 | [1] |
| Has Example Count | 2380 | [1] |
| Causes Massive Overfit | true | [1] |
| Is Short | true | [2] |
| Requires Preprocessing | zero | [2] |
| Nails Behavior | chatty-baseline | [2] |
| Has Messages Column | true | [2] |
| Teaches | turn-taking | [2] |
| Evaluated Positively | Xenonfun | [2] |
| Good Idea for | 3rd-epoch | [2] |
| Has Column | Messages Column | [3] |
| Has Preparation Requirement | Zero Preprocessing | [3] |
| Suggested for Epoch | 3 | [3] |
| Has Quality | Short Structure | [3] |
| Teaches Behavior | Turn Taking | [3] |
| Number of Examples | 2380 | [4] |
| Estimated Tokens | 160000 | [4] |
| Epochs Within3 Hours | 800+ | [4] |
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 (4)
ctx:discord/blah/watt-activation/part-163ctx:discord/blah/watt-activation/part-145ctx:discord/blah/watt-activation/145- full textwatt-activation-145text/plain3 KB
doc:agent/watt-activation-145/64378aae-25d8-4d98-9efb-8655275675ddShow excerpt
[2026-03-09 15:14] xenonfun: recommending https://huggingface.co/datasets/HuggingFaceTB/everyday-conversations-llama3.1-2k for conversations at this gpt-2 small scale [2026-03-09 15:16] xenonfun: Practical recommendation: Start with everyda…
ctx:discord/blah/watt-activation/163- full textwatt-activation-163text/plain2 KB
doc:agent/watt-activation-163/e4a449f4-a3c6-4218-a558-4a3b1759c8c7Show excerpt
[2026-03-09 18:45] xenonfun: ⏺ Here's the math and my recommendation: 3 hours at ~12K tok/s = ~130M tokens we can process. ``` ┌────────────────────────┬──────────┬─────────────┬───────────────┬───────────────────────────────────┐ │ …
See also
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