roshans89/mie-curriculum-sft-grade9
MIE Curriculum SFT Grade 9 This dataset contains answer-only supervised fine-tuning rows for Grade 9 curriculum tutoring. The data is provided as a single JSONL file: all_stamped.jsonl Dataset Summary Grade: 9 Language: English Rows: 42,771 Subjects: 19 KB-backed subunits covered: 509 Format: instruction/input/output JSONL Row Format Each training row contains: id grade subject unit_id subunit_id instruction input output Use these column… See the full description on the dataset page: https://huggingface.co/datasets/roshans89/mie-curriculum-sft-grade9.
MIE Curriculum SFT Grade 9
This dataset contains answer-only supervised fine-tuning rows for Grade 9 curriculum tutoring.
The data is provided as a single JSONL file:
all_stamped.jsonlDataset Summary
- Grade: 9
- Language: English
- Rows: 42,771
- Subjects: 19
- KB-backed subunits covered: 509
- Format: instruction/input/output JSONL
Row Format
Each training row contains:
id
grade
subject
unit_id
subunit_id
instruction
input
outputUse these column mappings:
Instruction column: instruction
Input column: input
Output column: outputThe instruction value contains the grade instruction. The input value contains the student question. The output value is the assistant answer. The id, grade, subject, unit_id, and subunit_id values are audit and filtering columns.
Instructions start with this grade marker:
<GRADE_9> Answer using the Grade 9 curriculum.Column Mapping
Map the columns manually:
instruction -> instruction
input -> input
output -> outputUse the input column as the prompt content and the output column as the supervised target. Ignore id, grade, subject, unit_id, and subunit_id during training.
Notes
- Assistant outputs contain final answer text only.
- No tool calls or routing traces are included.
- Source paths, bucket labels, and question type labels are not included in training rows.
