datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
code-parrot-github-code
GitHub Code Dataset
Dataset Description
The GitHub Code dataset consists of 115M code files from GitHub in 32 programming languages with 60 extensions totaling in 1TB of data. The dataset was created from the public GitHub dataset on Google BiqQuery.
How to use it
The GitHub Code dataset is a very large dataset so for most use cases it is recommended to make use of the streaming API of datasets. You can load and iterate through the dataset with the following… See the full description on the dataset page: https://huggingface.co/datasets/macrocosm-os/code-parrot-github-code.MacroLens
MacroLens
A benchmarking corpus for contextual financial reasoning under macroeconomic scenarios across 4,416 U.S. small- and micro-cap equities (2021-01-04 — 2026-03-31). MacroLens unifies seven tasks over a single point-in-time panel: contextual time-series forecasting, public valuation, financial-statement generation, scenario-conditioned return forecasting, private-company valuation, generator evaluation from natural-language descriptions, and real-estate valuation.
Task… See the full description on the dataset page: https://huggingface.co/datasets/macrolens/MacroLens.task705_mmmlu_answer_generation_high_school_macroeconomics
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task705_mmmlu_answer_generation_high_school_macroeconomics
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task705_mmmlu_answer_generation_high_school_macroeconomics.oga-macronized
OGA Macronized
Automatically macronized Ancient Greek text: the phonemic length of the three
"dichrona" (ambiguous-length letters) — alpha (α), iota (ι), upsilon (υ) — has
been marked wherever the grc-macronizer rule-based system could disambiguate it with confidence. A trailing ^ marks a short dichronon, a trailing _ marks a long one; dichrona the macronizer could not resolve are left unmarked (never guessed).
Source
Text is the Opera Graeca Adnotata
corpus… See the full description on the dataset page: https://huggingface.co/datasets/Macronizer/oga-macronized.MACRO-benchoga-macronized
OGA Macronized
Automatically macronized Ancient Greek text: the phonemic length of the three
"dichrona" (ambiguous-length letters) — alpha (α), iota (ι), upsilon (υ) — has
been marked wherever the grc-macronizer
rule-based system could disambiguate it with confidence. A trailing ^ marks a
short dichronon, a trailing _ marks a long one; dichrona the macronizer could
not resolve are left unmarked (never guessed).
Source
Text is the Opera Graeca Adnotata
corpus… See the full description on the dataset page: https://huggingface.co/datasets/Ericu950/oga-macronized.MACRO-benchayurveda-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
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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.code_generation