Datasetpublic

ishagarg1103/counter-sft-01-dataset

Counter-SFT-01 A synthetic conversational dataset for supervised fine-tuning on a constrained counter-planning task. The model must move a counter from start to target using increments of 1, 2, or 3, with at most five increments. Required response format: <counter_plan>{"increments":[3,3,2],"final":12}</counter_plan> Splits Split Rows Start range Templates micro_train 32 0-10 A train 480 0-59 A, B, C validation 90 60-69 A, B, C test 90 70-79 A, B… See the full description on the dataset page: https://huggingface.co/datasets/ishagarg1103/counter-sft-01-dataset.

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Counter-SFT-01

A synthetic conversational dataset for supervised fine-tuning on a constrained counter-planning task.

The model must move a counter from start to target using increments of 1, 2, or 3, with at most five increments.

Required response format:

<counterplan>{"increments":[3,3,2],"final":12}</counterplan>

Splits

Split	Rows	Start range	Templates
`micro_train`	32	0-10	A
`train`	480	0-59	A, B, C
`validation`	90	60-69	A, B, C
`test`	90	70-79	A, B, C
`challenge`	60	80-89	D

Columns

—id: unique example identifier
—start: initial counter value
—target: required final value
—difference: target minus start
—template: prompt-template identifier
—reference_answer: deterministic correct answer
—messages: system, user, and assistant messages used for SFT

All reference answers passed format, action, budget, arithmetic, and final-value validation. No exact example occurs in multiple splits.

Dataset SHA-256:

9ce84be29d68eaa6c5d5dd9d9d50d3935dbd4c587f1bdf199559292476f9c583

Load

from datasets import load_dataset

dataset = load_dataset( "ishagarg1103/counter-sft-01-dataset" )