---
license: apache-2.0
task_categories:
- text-generation
language:
- multilingual
- en
- zh
tags:
- sft
- sharegpt
- reasoning
- unsloth
pretty_name: sriq-sft
---

# sriq-sft

> **Superseded.** The current release is
> [sriq-sft-v1.6](https://huggingface.co/datasets/sriq-ai/sriq-sft-v1.6). The next version after
> this one, [sriq-sft-v1.4](https://huggingface.co/datasets/sriq-ai/sriq-sft-v1.4), adds a final
> logical verification step to the end of each chain of thought — v1.3 traces stop the moment a
> solution is reached. See [Provenance](#provenance) for the full chain.

ShareGPT-compatible supervised fine-tuning conversations. Questions are generated in many languages.
Assistant targets contain compressed Simplified Chinese reasoning and the
original final answer. The final answer is not rewritten by the compression step.

- `conversations`: three turns — a system turn, a human turn, then one GPT turn.
- System turn: `from` is `system`; `value` is the assistant preamble.
- Human turn: `from` is `human`; `value` contains the question.
- GPT turn: `from` is `gpt`; `value` contains `<think>Chinese reasoning</think>` followed by the final answer.
- Extra columns: `topic`, `difficulty`, `language` (the requested question language).

There are no rejected responses in the SFT export.

## Token statistics

Counts use `tiktoken` `cl100k_base`, not the training model's tokenizer.

| Slice | Total tokens |
| --- | ---: |
| Reasoning | 725,302 |
| Final answer | 3,129,384 |
| Reasoning + final answer, including think tags | 3,868,471 |

Rows: 2703. Languages: Arabic, Bengali, Czech, Dutch, English, French, German, Greek, Hebrew, Hindi, Indonesian, Italian, Japanese, Korean, Persian, Polish, Portuguese, Romanian, Russian, Simplified Chinese, Spanish, Swahili, Swedish, Tamil, Thai, Traditional Chinese, Turkish, Ukrainian, Urdu, Vietnamese.

## Load

```python
from datasets import load_dataset
dataset = load_dataset("sriq-ai/sriq-sft-v1.3", split="train")
conversation = dataset[0]["conversations"]
```

## Format for Qwen3.8 training

The export uses standard ShareGPT fields. Qwen3.8's native template expects
reasoning in a separate field, so convert the record before applying that template:

```python
from transformers import AutoTokenizer

turns = {turn["from"]: turn["value"] for turn in conversation}
response = turns["gpt"]
reasoning, answer = response.removeprefix("<think>").split("</think>", 1)
messages = [
    {"role": "system", "content": turns["system"]},
    {"role": "user", "content": turns["human"]},
    {"role": "assistant", "reasoning_content": reasoning, "content": answer.strip()},
]
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3.8-27B")
text = tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=False,
    preserve_thinking=True,
)
```

For other models, adapt the ShareGPT roles/fields to the trainer's expected
conversation schema while retaining the complete GPT `value`. Do not place the
same reasoning in both `content` and `reasoning_content` for Qwen's template.

For SFT, include the assistant's reasoning and final answer in the loss and mask
user/prompt tokens. Check that the rendered training text retains the Chinese
reasoning and that the assistant loss mask covers it. Use the target tokenizer
to check lengths and keep repeated questions in the same train/evaluation split.

## Provenance

| | |
| --- | --- |
| **Data revision** | `84f74b6a6d836e275771a9da896286d31d4704bf` |
| **Published** | 2026-09-17 09:04 UTC |
| **Built with** | `sriq/sriq-sft`, before that repository's history began — no commit corresponds |
| **Superseded by** | [v1.4](https://huggingface.co/datasets/sriq-ai/sriq-sft-v1.4) |

The card above may change; the parquet at that revision will not. Pin it when
training, so the corpus is the one that was measured:

```python
load_dataset("sriq-ai/sriq-sft-v1.3", split="train",
             revision="84f74b6a6d836e275771a9da896286d31d4704bf")
```

### Release chain

Each version exists to close a defect in the one before it.

| Version | Rows | Data revision | What it introduced | The defect it left behind |
| --- | ---: | --- | --- | --- |
| **v1.3** | 2,703 | `84f74b6` | compressed Simplified Chinese reasoning, 30 languages | traces stop at the answer — 15.2% carry a `验` block, 0.3% end on an explicit judgement |
| v1.4 | 825 | `be3a4b6` | a verification step closing the trace (95.4% carry `验`) | Chinese reasoning reverts to English behind a long agent-harness prompt |
| v1.5 | 1,424 | `e7ee870` | long synthetic harness preambles on 599 of 1,424 rows | the inherited check could only ever agree — 0.9% caught a mistake |
| v1.6 | 9,988 | `fa9e487` | verification that catches a real planted mistake (19.5%), graded difficulty, a `verification` column | — current release |

Pipeline and the full commit-level trail:
[git.nixre.dev/git/sriq/sriq-sft](https://git.nixre.dev/git/sriq/sriq-sft).