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README.md
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<p align="center">
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<a href="#1-introduction">Introduction</a> |
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<a href="#2-dataset-composition">Dataset Composition</a> |
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<a href="#3-data-collection--processing-methodology">Methodology</a> |
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<a href="#4-license-and-attribution">License</a> |
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<a href="#5-known-limitations">Limitations</a>
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This slice was deliberately restricted to human-authored data. Given how much of the rest of the Keural-v2 corpus is necessarily LLM-synthesized, the English balance slice is held to a stricter standard specifically to avoid compounding synthetic-data risk in the one category whose only job is to preserve an already-solid baseline capability.
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## 3. Data Collection & Processing Methodology
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1. Each source was downloaded from its canonical location and exact-match deduplicated internally on its primary text field.
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<p align="center">
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<a href="#1-introduction">Introduction</a> |
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<a href="#2-dataset-composition">Dataset Composition</a> (<a href="#23-source-revisions">Revisions</a>) |
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<a href="#3-data-collection--processing-methodology">Methodology</a> |
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<a href="#4-license-and-attribution">License</a> |
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<a href="#5-known-limitations">Limitations</a>
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This slice was deliberately restricted to human-authored data. Given how much of the rest of the Keural-v2 corpus is necessarily LLM-synthesized, the English balance slice is held to a stricter standard specifically to avoid compounding synthetic-data risk in the one category whose only job is to preserve an already-solid baseline capability.
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### 2.3 Source Revisions
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Exact commit/revision pinned at download time (2026-08-06), for reproducibility and future re-verification:
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<div align="center">
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| Source | Revision |
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|:---|:---|
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| `mkd-chanwoo/keural-conversation-ko` | `fcb975654651d55ff1a642455d620045b6d3f741` |
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| `IkJun1/korean-qa-dataset` | `e1f177a7497cf4e55e54d86101c6c522345441d2` |
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| `coastral/korean-writing-style-instruct` | `9f31462314f07847534fd13f7406c330ab15d156` |
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| `CarrotAI/ko-instruction-dataset` | `5c0e2c0180b50400e401dd0b296043f18fc6cb3f` |
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| `beomi/KoAlpaca-RealQA` | `a7df38a0b2cc187b72b40330af81e7b9f28dd95b` |
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| `databricks/databricks-dolly-15k` | `bdd27f4d94b9c1f951818a7da7fd7aeea5dbff1a` |
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| `OpenAssistant/oasst2` | `179dd21fc55192153d94adb0e0ce8f69e222bf75` |
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| Taskmaster-1 / 2 / 3, MultiWOZ 2.2 | Fetched directly from `github.com/google-research-datasets/Taskmaster` and `github.com/budzianowski/multiwoz` (`master` branch, 2026-08-06) — these are legacy loading-script-only HF repos with no data-bearing revision of their own, so the upstream GitHub source is the canonical reference |
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</div>
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## 3. Data Collection & Processing Methodology
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1. Each source was downloaded from its canonical location and exact-match deduplicated internally on its primary text field.
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