datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bottleneck-oracle-graphsp2-etf-thermo-bottleneck-resultsnla-bottleneck-resultsopen-bottleneck-ranklong27b-slurm-364982-rollouts
Open Bottleneck RankLong 27B — Slurm array 364982
Compact rollout evidence archived from completed Slurm array 364982.
Config
Files / steps
Records
JSONL bytes
Note
rank_a40
60 (1–60)
15,360
66,445,670
Complete local rollout evidence
rank_a80
54 (1–54)
13,824
59,386,451
Includes the cancelled arm's final dumped step (54.jsonl)
Each JSONL record contains input, output, gts, score, acc,
response_length, grouprel_reward, and step.
Only rollout evidence is archived… See the full description on the dataset page: https://huggingface.co/datasets/ryankim17920/open-bottleneck-ranklong27b-slurm-364982-rollouts.structural-bottleneck-classification-v0.1
What this dataset does
This dataset tests whether a model can detect structural bottlenecks.
The task is simple:
Given a scenario and a structural-bottleneck claim, predict whether the claim is supported.
Core stability idea
A structural bottleneck is a constraint that limits system performance regardless of improvements elsewhere.
Typical bottlenecks include:
single approval points
single processing nodes
unique dependencies
centralized routing
irreplaceable personnel… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/structural-bottleneck-classification-v0.1.Describe-then-Generate-BottleneckThe Describe-then-Generate-Bottleneck dataset investigates the phenomenon of information loss when AI systems generate images from textual descriptions of existing images. This dataset contains 150 randomly selected samples that demonstrate the "bottleneck" effect occurring in describe-then-generate pipelines.
The dataset explores a critical question in AI vision: How much visual information is lost when we ask a vision-language model to describe an image, and then use that description to… See the full description on the dataset page: https://huggingface.co/datasets/sportsvision/Describe-then-Generate-Bottleneck.healthcare-discharge-bottleneck-coherence-risk-v0.1What this repo is for
detect discharge blockage early
predict bed block
protect elective lists
improve throughput
reduce ED crowding
nla-bottleneck-domainsprocess_bottlenecks