---
dataset_info:
  features:
  - name: id
    dtype: string
  - name: source
    dtype: string
  - name: question
    dtype: string
  - name: steps
    list: string
  - name: answer
    dtype: string
  splits:
  - name: train
    num_bytes: 516704503
    num_examples: 352470
  download_size: 413155174
  dataset_size: 516704503
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
language:
- en
license: other
size_categories:
- 100K<n<1M
source_datasets:
- cs-giung/math-think-sft-mini
task_categories:
- text-generation
pretty_name: Math Think SFT Mini — Short Answers
---
# Math Think SFT Mini — Short Answers

This dataset is derived from [cs-giung/math-think-sft-mini](https://huggingface.co/datasets/cs-giung/math-think-sft-mini/tree/47c41ae2aac7df5aa14b066da2124ba96d004645), pinned to revision `47c41ae2aac7df5aa14b066da2124ba96d004645`.

The **train** split contains **352,470 rows** in the same order as the source. Each original `answer` is replaced by its shortened version; `id`, `source`, `question`, and `steps` are unchanged. There is no additional `short_answer` column.

## Schema

| Column | Type | Description |
|---|---|---|
| `id` | string | Unchanged source-row identifier |
| `source` | string | Unchanged source lineage |
| `question` | string | Unchanged mathematical problem |
| `steps` | list[string] | Unchanged reasoning steps |
| `answer` | string | Shortened final answer replacing the original response |

## Construction

Only the original answer was supplied for shortening, without the question or reasoning steps. The instruction requested no more than two sentences while preserving the conclusion, important mathematical values, equations, units, option letters, and essential conditions, without re-solving or correcting the source answer.

Generated responses were checked with the workflow's sentence-format validator. The last 38 remaining rows were manually shortened by the assistant, validated by the same validator, and recorded separately as `manual:assistant`; this does not mean human-authored. Parenthesized multipart labels can be interpreted as sentence boundaries by the validator, so some labels were expressed as prose such as "part a".

Successful-answer provenance:

| Generator | Rows |
|---|---:|
| `deepseek-v4-flash` | 716 |
| `gemini-2.5-flash-lite` | 293,524 |
| `glm-4.5-flash` | 1,819 |
| `glm-4.7-flash` | 96 |
| `glm-5.3-flash` | 54,927 |
| `gpt-5-nano-2025-08-07` | 1,350 |
| `manual:assistant` | 38 |

All 352,470 original answers were matched against the shortening queue before replacement. The complete non-answer columns, row order, schema, and locally saved dataset were verified against the source snapshot. See `construction_manifest.json` for the pinned source, transformation, model counts, and ordered answer checksum; parent construction and lineage details remain in the [source construction manifest](https://huggingface.co/datasets/cs-giung/math-think-sft-mini/blob/47c41ae2aac7df5aa14b066da2124ba96d004645/construction_manifest.json).

## Load

```python
from datasets import load_dataset

dataset = load_dataset("cs-giung/math-think-sft-mini-sa", split="train")
```

## Limitations and licensing

Shortening and sentence-format checks are not independent mathematical or semantic verification. Source errors may remain, and automated shortening can omit nuance. The unchanged reasoning steps may retain details not present in the shortened answer. Sentence counts depend on the validator's handling of mathematical notation, abbreviations, and labels.

Source datasets retain their own licenses and usage restrictions; this derivative grants no new rights over source content. The license metadata remains `other`, consistent with the parent dataset. Consult the parent dataset and its source lineages for applicable terms.