energy
ENERGY-DRINK-LOVE_-_leaderboard_inst_v1.3_deup_LDCC-SOLAR-10.7B_SFT-ggufEnergyBertENERGY-DRINK-LOVE_-_leaderboard_inst_v1.5_LDCC-SOLAR-10.7B_SFT-gguftwanghcmut_-_energy-llm-05-ggufENERGY-DRINK-LOVE_-_leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_DPOv3-ggufENERGY-DRINK-LOVE_-_leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT-ggufENERGY-DRINK-LOVE_-_eeve_leaderboard_inst_v1.5-ggufENERGY-DRINK-LOVE_-_deepnoid_DPOv3-gguf
Datasets
All datasets matching “energy”generative-sound-masking-generated-energy-v7
Generative Sound Masking — fixed-background audio masking
Incrementally generated unfiltered candidates. This is not a final selected dataset.
Each background has 15 separately generated prompt–seed outputs using gain-compensated reconstruction residuals. run_config.json pins models, source pools, parameters and implementation hashes.
For multiple workers read workers/worker-NN/progress.json; each worker reports only its assigned IDs.
Global completion requires all worker… See the full description on the dataset page: https://huggingface.co/datasets/AE-W/generative-sound-masking-generated-energy-v7.liander2024-energy-forecasting-benchmark
Dataset Card for Liander 2024 Short Term Energy Forecasting Benchmark
This dataset provides a benchmark for short term energy forecasting models, combining electrical load measurements from Dutch DSO Liander with predictors like corresponding weather data from OpenMeteo, day-ahead electricity prices from ENTSO-E, and profiles of electricity consumption from Energiedatawijzer. The dataset covers the full year 2024 (2024-01-01 to 2025-01-01 UTC) and includes 55 different points in… See the full description on the dataset page: https://huggingface.co/datasets/OpenSTEF/liander2024-energy-forecasting-benchmark.vidore_v3_energyViDoRe V3 : Energy - FR
This dataset, Energy Fr, is a corpus of reports on energy supply in europe, intended for complex-document understanding tasks. It is one of the 10 corpora comprising the ViDoRe v3 Benchmark.
About ViDoRe v3
ViDoRe V3 is our latest benchmark for RAG evaluation on visually-rich documents from real-world applications. It features 10 datasets with, in total, 26,000 pages and 3099 queries, translated into 6 languages. Each query comes with human-verified… See the full description on the dataset page: https://huggingface.co/datasets/vidore/vidore_v3_energy.generative-sound-masking-generated-energy-v3-smokeSTG_energy
STG_energy — results data
This dataset contains the results/ data (simulation outputs, trained neural density estimators, and analysis artifacts) for the paper:
Deistler, M., Macke, J.H., Gonçalves, P.J. (2022). Energy-efficient network activity from disparate circuit parameters. bioRxiv.
Code repository
The code that produces and consumes this data lives at:
https://github.com/mackelab/STG_energy
See the code repo's README for instructions on how to reproduce… See the full description on the dataset page: https://huggingface.co/datasets/mackelab/STG_energy.syntheticDocQA_energy_test_beirBEIR version of vidore/syntheticDocQA_energy_test.