datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
RedStone-QA-oq
RedStone
Based on the paper "RedStone: Curating General, Code, Math, and QA Data for Large Language Models" and the official GitHub repository, I have replicated the processing of the Open Question Aswering dataset within RedStone-QA in Redstone.
I followed the processing steps outlined in the official repository with minimal modifications.
The final processed dataset is similar in scale to what is presented in the paper, but I have not yet used this data for training to verify its… See the full description on the dataset page: https://huggingface.co/datasets/zjsd/RedStone-QA-oq.oqmd
Dataset Details
Dataset Description
Open Quantum Materials Database (OQMD) is a database of DFT-computed thermodynamic and structural properties of materials.
We used a compilation of a prior version of this database.
Curated by:
License: CC-BY 4.0
Dataset Sources
raw data source
Citation
BibTeX:
@article{yamamoto2019crystal,
title={Crystal graph neural networks for data mining in materials science},
author={Yamamoto, Takenori}… See the full description on the dataset page: https://huggingface.co/datasets/jablonkagroup/oqmd.iagoras_dataset-OQUE_FALTAVA_ATE_92Moqa-v1JARVIS_OQMD_no_CFID
Cite this dataset Kirklin, S., Saal, J. E., Meredig, B., Thompson, A., Doak, J. W., Aykol, M., Rühl, S., and Wolverton, C. JARVIS OQMD no CFID. ColabFit, 2023. https://doi.org/10.60732/82cb32aa
This dataset has been curated and formatted for the ColabFit Exchange
This dataset is also available on the ColabFit Exchange:
https://materials.colabfit.org/id/DS_untxw8nljf92_0
Visit the ColabFit Exchange to search additional datasets by author, description… See the full description on the dataset page: https://huggingface.co/datasets/colabfit/JARVIS_OQMD_no_CFID.JARVIS_CFID_OQMD
Cite this dataset Kirklin, S., Saal, J. E., Meredig, B., Thompson, A., Doak, J. W., Aykol, M., Rühl, S., and Wolverton, C. JARVIS CFID OQMD. ColabFit, 2023. https://doi.org/10.60732/967596c1
This dataset has been curated and formatted for the ColabFit Exchange
This dataset is also available on the ColabFit Exchange:
https://materials.colabfit.org/id/DS_u8strp7hm0cy_0
Visit the ColabFit Exchange to search additional datasets by author, description… See the full description on the dataset page: https://huggingface.co/datasets/colabfit/JARVIS_CFID_OQMD.oq-calibration-dataWikiDialog-OQ
WikiDialog-OQ
Dataset containing 11M information-seeking conversations from passages in English Wikipedia, publicly available. Each conversation was generated using the dialog inpainting method detailed in the paper using the Inpaint-OQ inpainter model, a T5-XXL model that was fine-tuned on OR-QuAC and QReCC using a dialog reconstruction loss.
Abstract
Many important questions (e.g. "How to eat healthier?") require conversation to establish context and explore in depth.… See the full description on the dataset page: https://huggingface.co/datasets/aitetic/WikiDialog-OQ.oqmdoqkiE71wrC-artifactschemnlp-oqmdOQFS_SQuALITYoQ3xOvKR0l19XbEZ3wP9kR7xS2EzF6bN8cY4oqa