Charles59/lens-network-traffic-generation
Lens Network Traffic Generation Benchmark Network-traffic generation data used to evaluate Lens, a knowledge-guided foundation model for network traffic (TMLR). Each of the 8 source datasets is a HuggingFace config, with train / validation / test splits and a unified schema. This is the generation counterpart of the classification benchmark Charles59/lens-network-traffic. ℹ️ All data is derived from publicly available academic traffic datasets obtained via the NetBench… See the full description on the dataset page: https://huggingface.co/datasets/Charles59/lens-network-traffic-generation.
Update paper citation to published TMLR version (li2026lens)
Add generation dataset card (task, schema, sources, license)
crossplatform_ios: preserve numeric dtype ports/pkt_len (faithful repro)
crossplatform_android: preserve numeric dtype ports/pkt_len (faithful repro)
dohbrw: preserve numeric dtype ports/pkt_len (faithful repro)
ustc-tfc2016: preserve numeric dtype ports/pkt_len (faithful repro)
iot_fuzzing: preserve numeric dtype ports/pkt_len (faithful repro)
tor: preserve numeric dtype ports/pkt_len (faithful repro)
vpn: preserve numeric dtype ports/pkt_len (faithful repro)
iot: preserve numeric dtype for src/dst_port,pkt_len (faithful repro)
Add generation dataset card (task, schema, sources, license)
Add generation dataset card (task, schema, sources, license)
add generation config crossplatform_ios
add generation config crossplatform_android
add generation config dohbrw
add generation config ustc-tfc2016
add generation config iot_fuzzing
add generation config iot
add generation config tor
add generation config vpn
initial commit