datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
survey-sim-dataPar-Four-Fineweb-Edu-Fortified-Chemistry-Physics-Astronomy-Math-ReasonExtracted Chemistry Physics Asronomy Math and Logic portions from the original.
Script used for the extraction:
https://huggingface.co/datasets/Josephgflowers/Par-Four-Fineweb-Edu-Fortified-Chemistry-Physics-Astronomy-Math-Reason/resolve/main/find-science-fine.py
task666_mmmlu_answer_generation_astronomy
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task666_mmmlu_answer_generation_astronomy
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 Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task666_mmmlu_answer_generation_astronomy.mirabest-radio-astronomy-unofficial
MiraBest Radio Astronomy Dataset (Unofficial)
⚠️ IMPORTANT: This is an unofficial repository containing a processed version of the MiraBest dataset formatted for stable diffusion fine-tuning. This repository is not affiliated with the original authors.
Unofficial processing of the MiraBest radio astronomy dataset with original classification labels and natural language captions for diffusion fine-tuning. Original dataset by Porter & Scaife (2023).
Original Dataset
The… See the full description on the dataset page: https://huggingface.co/datasets/kwazzi-jack/mirabest-radio-astronomy-unofficial.Astronomy_Exoplanetastronomy-stack-dpo-textBaike-Astronomy-ZH天文学百科，包含 8 个子目录，约 1000 条词条、110,0000 个字符。
数据包含一级目录、二级目录、标题、内容。其中内容已经处理为单行，且文本普遍较长。
一个样例如下：
{
"top_category": "天文学",
"sub_category": "天体力学",
"title": "万有引力定律",
"content": "万有引力定律（汉语拼音：wàn yǒu yǐn lì zhī dìng lǜ），（universal gravitation，law of），自然界中任何两个质点都相互吸引，这个力同两个质点的质量的乘积成正比，同它们之间的距离的二次方成反比。如用m1、m2表示两质点的质量，r表示两质点间的距离，F表示作用力的值，则F＝Gm1m2／r2，式中的G是比例常量，称万有引力常量或牛顿引力常量，数值因不同单位制而异，在国际单位制中G为6.672×1011牛顿·米2／千克2。这个定律由牛顿于1687年在《原理》上首次发表，它和牛顿运动定律一起，构成了牛顿力学特别是天体力学的基础。\n… See the full description on the dataset page: https://huggingface.co/datasets/Mxode/Baike-Astronomy-ZH.mm-astronomyA set of NER-related questions about multimessenger astronomy.
astronomy-stack-dpoGeneral-Astronomy-Textbookastronomy-textbook-qa-contextastronomy-stack-cirammlu-astronomy
Dataset Card for "mmlu-astronomy"
More Information needed
stackexchange_astronomymmlu-astronomy-dev
Dataset Card for "mmlu-astronomy-dev"
More Information needed
my-distiset-astronomy-domine
Dataset Card for my-distiset-astronomy-domine
This dataset has been created with distilabel.
The pipeline script was uploaded to easily reproduce the dataset:
app.py.
It can be run directly using the CLI:
distilabel pipeline run --script "https://huggingface.co/datasets/Kukedlc/my-distiset-astronomy-domine/raw/main/app.py"
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel… See the full description on the dataset page: https://huggingface.co/datasets/Kukedlc/my-distiset-astronomy-domine.mmlu-astronomy-neg-prepend-verbal
Dataset Card for "mmlu-astronomy-neg-prepend-verbal"
More Information needed
astronomy-stack-dpo-text-20-percentastronomy-stack-dpo-20-percentmmlu-astronomy-neg-prepend-fix
Dataset Card for "mmlu-astronomy-neg-prepend-fix"
More Information needed
mmlu-astronomymmlu-astronomy-rule-neg
Dataset Card for "mmlu-astronomy-rule-neg"
More Information needed
mmlu-astronomy-neg
Dataset Card for "mmlu-astronomy-neg"
More Information needed
mmlu-astronomy-neg-prepend
Dataset Card for "mmlu-astronomy-neg-prepend"
More Information needed
alpaca_astronomy_bgtopic-lock-astronomy
Dataset Card for topic-lock-astronomy
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/LeeHarrold/topic-lock-astronomy/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/LeeHarrold/topic-lock-astronomy.mmlu-astronomy-rule-neg-prepend
Dataset Card for "mmlu-astronomy-rule-neg-prepend"
More Information needed
mmlu-astronomy-original-neg-prepend
Dataset Card for "mmlu-astronomy-original-neg-prepend"
More Information needed
mmlu-astronomy-verbal-neg-prepend
Dataset Card for "mmlu-astronomy-verbal-neg-prepend"
More Information needed
astronomy
CITATION:
If you use the dataset kindly cite our paper DomAINS - DOMain Adapted INStructions.