Datasets:

cs-giung
/

math-think-sft-mini-sa

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, 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.

Load

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.