datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
question-generation-sft
Question Generation SFT Dataset
题目生成监督微调数据集
数据集描述
样本数: 9,604
任务: 根据学生状态生成个性化练习题
格式: Input (学生状态) → Output (题目内容)
使用方法
from datasets import load_dataset
dataset = load_dataset("yinlin124/question-generation-sft", data_files="data.json")
评估指标
k-Hit: 生成题目知识点命中学生弱项
State-Shift: 状态转移敏感度
BLEU: 文本生成质量
Question_Generationsapient-synth-flan-niv2-fsopt-data-task871-msmarco-question-generation
sapient-synth-flan-niv2-fsopt-data-task871-msmarco-question-generation
Chat-template-ready synthetic anonymous replacement examples for one Sapient source excluded from the DFM5 data mix.
Contents
Format: gzip-compressed JSON Lines under data/train.jsonl.gz
Schema: {"messages": [{"role": "user", "content": "..."}, {"role": "assistant", "content": "..."}]}
Files: 1
Rows: 158
Task: synthetic anonymous instruction replacement
Generation
Rows were… See the full description on the dataset page: https://huggingface.co/datasets/schneiderkamplab/sapient-synth-flan-niv2-fsopt-data-task871-msmarco-question-generation.sapient-synth-flan-niv2-zsopt-data-task871-msmarco-question-generation
sapient-synth-flan-niv2-zsopt-data-task871-msmarco-question-generation
Chat-template-ready synthetic anonymous replacement examples for one Sapient source excluded from the DFM5 data mix.
Contents
Format: gzip-compressed JSON Lines under data/train.jsonl.gz
Schema: {"messages": [{"role": "user", "content": "..."}, {"role": "assistant", "content": "..."}]}
Files: 1
Rows: 89
Task: synthetic anonymous instruction replacement
Generation
Rows were… See the full description on the dataset page: https://huggingface.co/datasets/schneiderkamplab/sapient-synth-flan-niv2-zsopt-data-task871-msmarco-question-generation.