datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Electrical-engineering
To the electrical engineering community
This dataset contains Q&A prompts about electrical engineering, Kicad's EDA software features and scripting console Python codes.
Authors
STEM.AI: stem.ai.mtl@gmail.comWilliam Harbec
task695_mmmlu_answer_generation_electrical_engineering
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task695_mmmlu_answer_generation_electrical_engineering
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… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task695_mmmlu_answer_generation_electrical_engineering.Electrical-engineering
To the electrical engineering community
This dataset contains Q&A prompts about electrical engineering, Kicad's EDA software features and scripting console Python codes.
Authors
STEM.AI: stem.ai.mtl@gmail.comWilliam Harbec
csl-electrical-engineering
csl-electrical-engineering"
由CSL數據集分割出來的電機工程(Electrical Engineering)子集，提供簡繁兩種版本。
from datasets import load_dataset
dataset = load_dataset("p208p2002/csl-electrical-engineering","zh-cn")
dataset = load_dataset("p208p2002/csl-electrical-engineering","zh-tw")
electricity-prices
Load Dataset
pip install datasets
from datasets import load_dataset
electricity = load_dataset("worldboss/electricity-prices", split="train")
pd.DataFrame(electricity).head()
Author
The data was constructed by Theophilus Siameh (theodondre@gmail.com).
Electrical-engineering-ruTranslated instructions from STEM-AI-mtl/Electrical-engineering into Russian using gemini-flash-1.5-8b.
Electrical_BooksDataset containing synthetically generated (by GPT-3.5 and GPT-4) short stories that only use a small vocabulary.
Described in the following paper: https://arxiv.org/abs/2305.07759.
The models referred to in the paper were trained on TinyStories-train.txt (the file tinystories-valid.txt can be used for validation loss). These models can be found on Huggingface, at roneneldan/TinyStories-1M/3M/8M/28M/33M/1Layer-21M.
Additional resources:
tinystories_all_data.tar.gz - contains a superset of… See the full description on the dataset page: https://huggingface.co/datasets/SUSHANT283/Electrical_Books.knowledgebase-electric_engineering_test_dataThis dataset are based on question answering iterations of this dataset:
"STEM-AI-mtl/Electrical-engineering"
Question answering using Deepseek R1 from TogetherAI API checkpoint
Usage:
Reasoning trace data to injecteed as CoT chain in SCIENCE related task.
Electrical-engineering
To the electrical engineering community
This dataset contains Q&A prompts about electrical engineering, Kicad's EDA software features and scripting console Python codes.
Authors
STEM.AI: stem.ai.mtl@gmail.comWilliam Harbec