datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ayurveda-text-based-qandacl-macros-thinking-clean
cl-macros-thinking
Chat-format Common Lisp macro dataset enriched with <think>...</think>
reasoning traces. Each row is a single training example:
{
"messages": [
{"role": "system", "content": "You are an expert Common Lisp macro programmer..."},
{"role": "user", "content": "Write a Common Lisp macro to handle ..."},
{"role": "assistant", "content": "<think>...reasoning...</think>\n\n(defmacro ...)"}
]
}
Splits
split
rows
train
1607… See the full description on the dataset page: https://huggingface.co/datasets/j14i/cl-macros-thinking-clean.csc_public_de3
csc_public_de3数据集
数据来源
1.由人民日报/学习强国/chinese-poetry等高质量数据人工生成;
2.来自人民日报高质量语料;
3.来自学习强国网站的高质量语料;
4.源数据为qwen生成的好词好句;
5.古诗词chinese-poetry; 文言文garychowcmu/daizhigev20;
数据简介
该数据主要为'的地得'纠错;
其中训练数据130753条, 验证数据5545条, 测试数据5545条;
句子平均长度为36, 最长句子长度为414, 最短为5, 95%的为89, 75%的为46, 60%的为34;
每个句子中字的平均错误数为2;
数据详情
################################################################################################################################
train.json
130753… See the full description on the dataset page: https://huggingface.co/datasets/Macropodus/csc_public_de3.cl-macros-thinking
cl-macros-thinking
Chat-format Common Lisp macro dataset enriched with <think>...</think>
reasoning traces. Each row is a single training example:
{
"messages": [
{"role": "system", "content": "You are an expert Common Lisp macro programmer..."},
{"role": "user", "content": "Write a Common Lisp macro to handle ..."},
{"role": "assistant", "content": "<think>...reasoning...</think>\n\n(defmacro ...)"}
]
}
Splits
split
rows
train
1828… See the full description on the dataset page: https://huggingface.co/datasets/j14i/cl-macros-thinking.cl-macros-creative
cl-macros-creative
Hand-curated and LLM-brainstormed Common Lisp macro examples beyond what
j14i/cl-ds covers from
established libraries. Built as Phase-2 exploration corpus for
j14i/cl-macro-27b-lora.
Schema
Mirrors j14i/cl-ds:
field
meaning
instruction
natural-language description of the macro
input
sample call form
output
the reference (defmacro ...) source
macroexpand
exact result of (macroexpand-1 input) under that defmacro
category
control-flow /… See the full description on the dataset page: https://huggingface.co/datasets/j14i/cl-macros-creative.