beam
Datasets
All datasets matching “beam”GheoLei_BeamNG.drive_Modsbeamit-full-texts-dataset
Dataset Card for "beamit-full-texts-dataset"
More Information needed
BEAM
Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs
This huggingface page contains data for the paper: Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs
Abstract
Evaluating the abilities of large language models (LLMs) for tasks that require long-term memory and thus long-context reasoning, for example in conversational settings, is hampered by the existing benchmarks, which often lack narrative coherence, cover narrow… See the full description on the dataset page: https://huggingface.co/datasets/Mohammadta/BEAM.beams_2d_50_100_v0This dataset is part of the EngiBench toolkit: https://github.com/IDEALLab/EngiBench.
notch-beam-2d-impact
NotchBeam2D-Impact — StructBench canonical dataset
Download
One case, one file — fetch exactly what you need (pip install huggingface_hub):
from huggingface_hub import hf_hub_download, snapshot_download
# one case
path = hf_hub_download("StructBench/notch-beam-2d-impact",
filename="<case_id>.h5", repo_type="dataset")
# the full archive (resumable; cached under HF_HOME)
root = snapshot_download("StructBench/notch-beam-2d-impact"… See the full description on the dataset page: https://huggingface.co/datasets/StructBench/notch-beam-2d-impact.BEAM-10M
Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs
This huggingface page contains data for the paper: Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs
Abstract
Evaluating the abilities of large language models (LLMs) for tasks that require long-term memory and thus long-context reasoning, for example in conversational settings, is hampered by the existing benchmarks, which often lack narrative coherence, cover narrow… See the full description on the dataset page: https://huggingface.co/datasets/Mohammadta/BEAM-10M.