Split Operation
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
Split Operation has 23 facts recorded in Dontopedia across 11 references, with 2 live disagreements.
Mostly:rdf:type(10), uses method(2), splits on(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedRdf:typein disputerdf:type
- Operation[1]all time · Discord:1349727923434815519:1462240469864943626
- Dataset Split Operation[3]all time · 69dd1448 7a7c 4adf 8f03 7a001d9bfd87
- Collection Split Operation[4]sourceall time · C65a2579 981c 4f38 830b 9455453c8627
- String Method[5]all time · 52a11a9a 9752 4a64 9784 773b1eec0316
- String Operation[6]all time · 1adff1c9 94a8 4376 92a8 08bd968e378c
- Regex Split[7]all time · 4102fd61 81a3 42eb 8ac0 Ab861f0f0d99
- String Split Operation[8]all time · 493460c5 B260 4594 909b 15dd4bc0c642
- String Split[9]all time · 2e9fecea Ca91 4203 B029 Db5f820e044a
- Method Call[9]all time · 2e9fecea Ca91 4203 B029 Db5f820e044a
- String Operation[10]all time · Ae922817 904c 46d4 Ab76 C61eb96f5be7
Inbound mentions (12)
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.
createdByCreated by(1)
- Words
ex:words
ex:hasKnowledgeOfEx:has Knowledge of(1)
- User:xenonfun
discord:user:xenonfun
ex:involvesOperationEx:involves Operation(1)
- Transport Identity Split
task:transport-identity-split
hasStepHas Step(1)
- Tokenize Input Text
ex:tokenize-input-text
isAssignedByIs Assigned by(1)
- Tokens Variable
ex:tokens-variable
isUsedByIs Used by(1)
- Whitespace Split Pattern
ex:whitespace-split-pattern
realizedByRealized by(1)
- Collection Processing
ex:collection-processing
regexOperationRegex Operation(1)
- Parse Query Function
ex:parse-query-function
sequenceSequence(1)
- Correct Query
ex:correct-query
splitsQuerySplits Query(1)
- Correct Query Function
ex:correct-query-function
usesMethodUses Method(1)
- Replace Oov Terms
ex:replace_oov_terms
usesStringSplitUses String Split(1)
- Code Segment
ex:code-segment
Other facts (13)
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 |
|---|---|---|
| Uses Method | Str Split | [8] |
| Uses Method | split | [10] |
| Splits on | '\n' | [2] |
| Called on | Dataset Variable | [3] |
| Splits | Items List | [4] |
| Enables | Parallel Processing | [4] |
| Produces | Tokens List | [8] |
| Separator | whitespace | [9] |
| Input | Query | [9] |
| Method | Split | [9] |
| Target String | query | [10] |
| Result Variable | words | [10] |
| Delimiter | , | [11] |
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 (11)
ctx:memory/claims/session/discord:1349727923434815519:1462240469864943626- full textctx:memory/claims/session/discord:1349727923434815519:1462240469864943626text/plain51 B
doc:memory/claims/session/discord:1349727923434815519:1462240469864943626/0f28a8f1-21eb-48e4-b942-8349db5c95d3Show excerpt
xenonfun in #safiersemantics: images page starting.…
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doc:memory/claims/session/discord:1349727923434815519:1462240469864943626/84f752e5-8df6-4f35-b961-123de5ea6bbaShow excerpt
xenonfun in #safiersemantics: (no text — image attachment only)…
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xenonfun in #safiersemantics: well perhaps this is messy for sure. wish I just had bigger disk. stupid acer was $200 more with 4tb recently...…
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doc:memory/claims/session/discord:1349727923434815519:1462240469864943626/f8d3c435-9bf4-4e02-b989-975ae9164c4aShow excerpt
xenonfun in #safiersemantics: well that was kinda impressive, NFS wedged (Again). found root source, NFS server was set to auto idle (WTF?) at least the NIC wasn't core issue, so that is good. restarted NFS and claude came back to life.…
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doc:memory/claims/session/discord:1349727923434815519:1462240469864943626/8ba9590f-01a7-4afe-b877-9a00935ce945Show excerpt
xenonfun in #safiersemantics: failing faster now.…
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doc:memory/claims/session/discord:1349727923434815519:1462240469864943626/8343805f-7357-46d5-a95f-63ae94f47c5eShow excerpt
xenonfun in #safiersemantics: (no text — image attachment only)…
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doc:memory/claims/session/discord:1349727923434815519:1462240469864943626/1d7f7d95-9bee-4226-bc0d-887f636f941bShow excerpt
xenonfun in #safiersemantics: ✶ Propagating… (8m 35s · ↓ 28.4k tokens) ⎿ ◻ Manual-invoke image builds as CI jobs + UI single-job trigger ◻ [LARGER] Publish named images to uranus OCI feed + k3s pulls from there (retire --local)…
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doc:memory/claims/session/discord:1349727923434815519:1462240469864943626/0de5e096-8078-43b8-a191-4807fedd4e6dShow excerpt
xenonfun in #safiersemantics: will get docker images as well some UI exposure. as it is also hosting its own images, or will be again shortly.…
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doc:memory/claims/session/discord:1349727923434815519:1462240469864943626/1ce49165-c5e5-471e-80e4-5f6602af8652Show excerpt
xenonfun in #safiersemantics: looks like shit but guess it counts, don't think I ever actually published package and viewed.…
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doc:memory/claims/session/discord:1349727923434815519:1462240469864943626/cb2c8f8f-b720-41b3-86f6-45f83fed3537Show excerpt
xenonfun in #safiersemantics: I really need to split build up for bigger projects: perhaps publish and pull the crates (which then are all sccached), would probably improve build cycle times as a lot of them don't get touched in a feature u…
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doc:memory/claims/session/discord:1349727923434815519:1462240469864943626/7950c82a-d307-45d3-ac87-8fc9efc28eb5Show excerpt
xenonfun in #safiersemantics: tags now too…
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doc:memory/claims/session/discord:1349727923434815519:1462240469864943626/b45666ea-e93d-4140-8811-4709f8f05fcfShow excerpt
xenonfun in #safiersemantics: better luck next-time…
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doc:memory/claims/session/discord:1349727923434815519:1462240469864943626/2f795fdf-bc52-454a-a194-c356f6232465Show excerpt
xenonfun in #safiersemantics: self release time, again.…
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doc:memory/claims/session/discord:1349727923434815519:1462240469864943626/bde92f9b-4fd0-4c64-a100-e758040bb0c2Show excerpt
xenonfun in #safiersemantics: crates are coming back. getting orleans-rust-client fixed up so will do whole publish .…
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doc:memory/claims/session/discord:1349727923434815519:1462240469864943626/f98a1ffe-c580-4c82-a7d5-bb384ba3345bShow excerpt
xenonfun in #safiersemantics: ● The OCI restoration Understand workflow (wmb8i3k3n) is running — read-only mapping of the registry impl, the prior working publish flow (from git history), the DGX-era change, and exposure, then a restorati…
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doc:memory/claims/session/discord:1349727923434815519:1462240469864943626/49018b70-24e7-4958-8323-774ef3894f18Show excerpt
xenonfun in #safiersemantics: okay now its gotta rediscover we already build a whole OCI endpoint its gotta start using it again.…
ctx:claims/beam/255cb48f-250c-4d37-87ab-fa0c34c3ca48ctx:claims/beam/69dd1448-7a7c-4adf-8f03-7a001d9bfd87- full textbeam-chunktext/plain1 KB
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- **Splitting**: Split your dataset into training, validation, and test sets. A common split ratio is 80% training, 10% validation, and 10% test. ```python from datasets import load_dataset, DatasetDict # Load your dataset dataset = load_…
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System.out.println("Processing item: " + item); // Simulate some processing time try { Thread.sleep(1000); …
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By implementing these strategies, you can effectively manage the length of expanded queries and ensure they remain concise and relevant. Let me know if you need further assistance or have any specific concerns! [Turn 6906] User: I've been …
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# Average the embeddings of the term tokens if term_start is not None and term_end is not None: term_embedding = last_hidden_state[:, term_start:term_end, :].mean(dim=1) else: term_embedding = torch.zeros((1…
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[Turn 9920] User: hmm, what if the query has a mix of special characters and valid tokens? ->-> 1,13 [Turn 9921] Assistant: Handling queries that have a mix of special characters and valid tokens requires a more nuanced approach. We need t…
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# Tokenize input text tokens = input_text.split() # Apply correction rules corrected_tokens = [correct_token(token) for token in tokens] return ' '.join(corrected_tokens) def correct_token(token): # Define correctio…
ctx:claims/beam/2e9fecea-ca91-4203-b029-db5f820e044actx:claims/beam/ae922817-904c-46d4-ab76-c61eb96f5be7- full textbeam-chunktext/plain1 KB
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suggestions = hspell.suggest(word) if suggestions: corrected_word = suggestions[0] else: corrected_word = word else: corrected_word = word end_t…
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doc:beam/4cc521bd-2791-4334-88dc-f5e3519e2d92Show excerpt
2. **Split the Dataset**: Divide the dataset into training and testing sets. 3. **Evaluate Precision and Recall**: Use precision and recall to evaluate the relevance of the retrieved documents. 4. **User Feedback**: Optionally, collect user…
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