---
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.)