Dans-MemoryCore-CoreCurriculum-Small
收藏魔搭社区2025-12-04 更新2024-12-28 收录
下载链接:
https://modelscope.cn/datasets/PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
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资源简介:
license: agpl-3.0
task_categories:
- question-answering
language:
- en
tags:
- chemistry
- biology
- synthetic
- climate
pretty_name: 'Dan''s Memory core: Core Curriculum Small'
size_categories:
- 10K<n<100K
---
# Dan's Memory Core: Core Curriculum Small
## Broad strokes
This dataset aims to provide a foundation of knowledge common to a number of fields and areas of study. The question answer pairs were generated using a RAG implementation and a curated selection of source material. Ideally this will be the first in a series of datasets that will cover a wide range of topics.
## Nomic Atlas Visualiztion
[Cluster visualization for the dataset available here.](https://atlas.nomic.ai/data/visuallyadequate/core-curriculum/map/8a1ecf15-e826-446c-a7ac-7af1400091fb)
## Topics covered
- Physics
- Chemistry
+ Physical Chemistry
+ Organic Chemistry
- Biology
- Earth Science
- Psychology
- Linguistics
- Economics
- Architecture and design
- Engineering
## Give me your pocket change
The development and production of these datasets is severely limited by the funding and resources available to me. If you would like to help reach out to me here on HF, at visuallyadequate@gmail.com or you can leave something in the hat over at https://buymeacoffee.com/visually
<a href="https://www.buymeacoffee.com/visually"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" height="45" width="162"></a>
## Credits
Thank you to Vik Paruchuri for the amazing models and work that go into making the [Marker project](https://github.com/VikParuchuri/marker) what it is today.
许可证: AGPL-3.0
任务类别:
- 问答任务
语言:
- 英语
标签:
- 化学
- 生物学
- 合成
- 气候
展示名称: '丹的记忆核心:核心课程小集'
样本量范围:
- 10000 < 样本数 < 100000
---
# 丹的记忆核心:核心课程小数据集
## 概述
本数据集旨在为多个研究领域提供通用的知识基础。其问答对通过检索增强生成(Retrieval-Augmented Generation, RAG)实现,并基于精选的源材料生成。本数据集有望成为覆盖广泛主题的系列数据集的开篇之作。
## 诺米图谱(Nomic Atlas)可视化
[数据集的聚类可视化可在此处获取。](https://atlas.nomic.ai/data/visuallyadequate/core-curriculum/map/8a1ecf15-e826-446c-a7ac-7af1400091fb)
## 涵盖主题
- 物理学
- 化学
+ 物理化学
+ 有机化学
- 生物学
- 地球科学
- 心理学
- 语言学
- 经济学
- 建筑学与设计学
- 工程学
## 资助支持
本数据集的开发与制作受限于我可支配的资金与资源。若您愿意提供帮助,可在此处(Hugging Face平台)联系我,或发送邮件至visuallyadequate@gmail.com,也可通过https://buymeacoffee.com/visually进行捐赠。
<a href="https://www.buymeacoffee.com/visually"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" height="45" width="162"></a>
## 致谢
感谢维克·帕鲁丘里(Vik Paruchuri)为打造如今的[Marker项目](https://github.com/VikParuchuri/marker)所付出的卓越模型研发与工作。
提供机构:
maas
创建时间:
2024-12-26



