datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tri-attia-fast-charge-2020-raw
Closed-loop optimization of extreme fast charging for batteries
BSEBench status: raw_mirror_pending_validation
This dataset repository is a raw mirror of the TRI Energy & Materials Data / data.matr.io project "Closed-loop optimization of extreme fast charging for batteries using machine learning". The source describes commercial lithium-ion phosphate (LFP)/graphite cells cycled under fast-charging conditions for the associated Nature publication.
Source page:… See the full description on the dataset page: https://huggingface.co/datasets/bsebench-org/tri-attia-fast-charge-2020-raw.indo-bloom-raw-bse
📚 Indo-Bloom BSE RAW Corpus
⚠️ RESEARCH ARTIFACT STATUS: RAW CORPUS (Stage 0)
This dataset serves as the raw material corpus for the Indo-Bloom research project at Universitas Negeri Malang (UM).
Current State: Extracted & Cleaned Context from BSE Textbooks
Next Stage: QA Pair Generation (Stage 1) → Silver Corpus
🔒 FROZEN — Raw v1.0
This version is permanently frozen to ensure reproducibility. This corpus will be used as input for QA generation pipeline.
📄… See the full description on the dataset page: https://huggingface.co/datasets/Alwiiiiiiiiii/indo-bloom-raw-bse.indo-bloom-raw-bse
📚 Indo-Bloom BSE RAW Corpus
⚠️ RESEARCH ARTIFACT STATUS: RAW CORPUS (Stage 0)
This dataset serves as the raw material corpus for the Indo-Bloom research project at Universitas Negeri Malang (UM).
Current State: Extracted & Cleaned Context from BSE Textbooks
Next Stage: QA Pair Generation (Stage 1) → Silver Corpus
🔒 FROZEN — Raw v1.0
This version is permanently frozen to ensure reproducibility. This corpus will be used as input for QA generation pipeline.
📄 Associated… See the full description on the dataset page: https://huggingface.co/datasets/Firmansyah-Ibrahim/indo-bloom-raw-bse.energy-storage-power-station-2026-raweyeR-classification-multi-label-category2eyeR-classification-setjtbd-needseyeR-classification-multi-label-category1
