triage
Datasets
All datasets matching “triage”medical-symptom-triage-conversationalsatellite-disruption-triage-aux-v2-1
Satellite Disruption Triage Aux v2.1
Self-contained real-image repair of ChrisRPL/satellite-disruption-triage-aux-v2.
This version keeps only resolvable BRIGHT real-image rows in VLM SFT files. Synthetic reasoning rows are separated, SEN12MSCR is excluded because the license is unknown, and xBD-Ukraine rows from v2 are excluded because their image references are not resolvable in the stated source repo.
Files
train_flat.jsonl / train_sft.jsonl: real-image train rows… See the full description on the dataset page: https://huggingface.co/datasets/ChrisRPL/satellite-disruption-triage-aux-v2-1.opensec-triage
opensec-triage 0.5.0
Synthetic English security alert data for disposition classification, counterfactual evaluation and small model training experiments.
Each example pairs a security observation with contextual evidence and an expected disposition. The task is to classify the supplied evidence rather than infer a disposition from the observable action alone.
Configurations
Configuration
Purpose
Splits
default
Main 50,000 row text classification… See the full description on the dataset page: https://huggingface.co/datasets/tegridydev/opensec-triage.satellite-disruption-triage-aux-v2-2
Blackline Atlas Satellite Disruption Triage Aux v2.2
This dataset is a compact calibration and gold-eval repair slice for Blackline Atlas. It is designed to test whether a vision-language model can compare paired satellite images and produce evidence-first JSON for macro-scale civilian disruption caused by explosions or conflict-like human-made damage.
It starts from ChrisRPL/satellite-disruption-triage-aux-v2-1 and keeps only real paired image rows from two explosion events: Bata… See the full description on the dataset page: https://huggingface.co/datasets/ChrisRPL/satellite-disruption-triage-aux-v2-2.ms_marco_triage_ratedjevlogs-log-triage-benchmark
Jev Logs log-triage benchmark
A labeled evaluation of Jev Logs on sanitized public logs. Jev Logs asks TypeSafe’s Jev, through Vercel AI Gateway, whether a log line is worth sending to an expensive reasoning model. This dataset is a public, token-accounted measurement of that routing decision, including the 0.3.0 in-memory cache and local retain rules.
This is not a production-log study. Labels come from Loghub. HDFS labels are block-level, then joined onto every line that… See the full description on the dataset page: https://huggingface.co/datasets/reachjalil/jevlogs-log-triage-benchmark.