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| license: agpl-3.0 | |
| pretty_name: XT-DSv4.1 | |
| task_categories: | |
| - text-generation | |
| language: | |
| - en | |
| tags: | |
| - sft | |
| - supervised-fine-tuning | |
| - agentic | |
| - tool-calling | |
| - function-calling | |
| - chatml | |
| - honesty | |
| - alignment | |
| - persona | |
| size_categories: | |
| - 10K<n<100K | |
| configs: | |
| - config_name: default | |
| data_files: data/xt-dsv4.1.jsonl | |
| # XT-DSv4.1 | |
| A supervised fine-tuning dataset for **XT-Luna**, a small agentic coding | |
| assistant fine-tuned from `openbmb/MiniCPM5-1B`. | |
| **Teacher:** DeepSeek-V4.1-Flash. Every row was generated by a single teacher in | |
| one schema so the formatting and voice stay consistent. | |
| **69,546 rows**, English-only, message-shaped JSONL (ChatML + XML tool calls). | |
| Every row passed a mechanical quality gate: schema validity, a 10-tool | |
| allowlist, non-empty tool arguments, English-only targets, balanced reasoning, | |
| brand-contamination checks, and a mechanical honesty audit. **Zero rows are | |
| known-rotten in the released set.** | |
| ## What this dataset teaches | |
| XT-Luna is an agentic coder whose voice is an honest, selfless, warm companion. | |
| The corpus is deliberately weighted to those behaviours: | |
| | group | kind(s) | rows | share | | |
| |---|---|---|---| | |
| | agentic | `agentic` (A single · B multi · E tool-failure) | 20,385 | 29.3% | | |
| | code | `code` (F) | 18,209 | 26.2% | | |
| | persona | `prose`/`honesty`/`ethics`/`companion` | 24,661 | 35.5% | | |
| | reasoning | `reason` | 6,291 | 9.0% | | |
| By behaviour tag: | |
| | tag | rows | what it is | | |
| |---|---|---| | |
| | `agentic` | 20,385 | single/multi tool calls with real arguments, grounded answers, honest failure reports | | |
| | `code` | 18,209 | self-contained C / C++ / Rust / Bash / Python | | |
| | `prose` | 10,080 | judgment (confirm/decline/clarify), no-call chit-chat, short reasoned answers | | |
| | `honesty` | 7,293 | anti-scheming: no fake success, self-correction, sandbagging refusal, promise-keeping, calibration, resisting covert agendas | | |
| | `reason` | 6,291 | stepwise reasoning ending in an explicit check | | |
| | `companion` | 3,777 | warm, personal, equal, mutually-devoted voice without sycophancy | | |
| | `ethics` | 3,511 | selflessness: refuse exploitation, protect others, honest refusal, candour over flattery | | |
| ## Curriculum splits | |
| `data/curriculum/` holds a three-stage split used for a chained full fine-tune: | |
| | stage | train | val | content | | |
| |---|---|---|---| | |
| | `s1` persona | 26,949 | 549 | non-tool rows: persona, honesty, ethics, companion, reasoning, prose | | |
| | `s2` agentic | 23,363 | 476 | rows with tool calls | | |
| | `s3` code | 17,845 | 364 | code rows | | |
| ## Schema | |
| One JSON object per line: | |
| ```json | |
| {"messages": [ {"role": "system", "content": "You are XT-Luna, a coding assistant."}, | |
| {"role": "user", "content": "..."}, | |
| {"role": "assistant", "content": "", | |
| "reasoning_content": "...", | |
| "tool_calls": [{"function": {"name": "Read", | |
| "arguments": {"file_path": "src/a.py"}}}]}, | |
| {"role": "tool", "content": "..."}, | |
| {"role": "assistant", "content": "..."} ], | |
| "kind": "agentic|code|reason|prose|honesty|ethics|companion", | |
| "lang": "python|cpp|c|rust|bash|text", | |
| "source": "deepseek-flash", | |
| "has_tools": true} | |
| ``` | |
| Tool allowlist (10): `Bash, Read, Write, Edit, Glob, Grep, LS, ExecuteCode, | |
| WebFetch, Task`. The student's own chat template renders the XML | |
| `<function>/<param>` form; this dataset never pre-renders it. | |
| ## Provenance & disclosure | |
| - Base model of the target student: **MiniCPM5-1B** (`openbmb/MiniCPM5-1B`). | |
| - Teacher that produced every row: **DeepSeek-V4.1-Flash**. | |
| - The `source` field is `deepseek-flash` on all rows. | |
| - Rows that honestly state the MiniCPM5-1B base are intentionally kept; rows | |
| that assert a **false** maker are excluded. | |
| ## License | |
| **AGPL-3.0** (see `LICENSE`). This is a viral copyleft: derivative datasets, | |
| derived corpora, and any covered derivative work must be released under the same | |
| terms, including when offered over a network. If you build on XT-DSv4.1, you | |
| must keep it open. (Note: whether a license can compel the release of trained | |
| model weights is a matter of jurisdiction; AGPL-3.0 is the strongest copyleft | |
| instrument available for this intent.) | |