netops-intent2cli

The original default v1 configuration remains unchanged (565 train / 102 validation / 108 test). Use load_dataset("gesh75/netops-intent2cli", "v2") for the v2 configuration.

v2

• 1215 training rows: 565 inherited v1 + 650 new operator-style synthetic requests.
• Validation 102 and original test 108 are unchanged. Commands are disjoint between training/validation/test, including after whitespace normalization.
• Separate operator_test slice: 88 new synthetic paraphrases of original test commands; excluded from all training/checkpoint selection.
• Every new pair has a command copied verbatim from the 70,006-row multivendor-cli-commands Parquet, with matching vendor and OS. New intents were created offline with assistant-authored task rules/paraphrase grammar; no paid API or copied vendor-document prose.
• New requests: {'Microsoft': 41, 'Aruba': 17, 'PAN-OS': 23, 'FRR': 66, 'Linux': 26, 'Mikrotik': 22, 'Huawei': 8, 'Extreme': 37, 'NVIDIA': 27, 'Arista': 44, 'Juniper': 50, 'Wireshark': 47, 'Cisco': 59, 'SONiC': 43, 'VyOS': 51, 'Nokia': 32, 'FortiOS': 57}.
• v2/new_pairs.jsonl is the audit ledger (new training and operator-test requests with explicit split labels), not another training split. Do not train on operator_test.
• Source labels: intent_origin=synthetic-authored-grammar-v2, command_origin=verbatim-multivendor-cli-commands. Inherited v1 rows retain their previous provenance (corpus or curated).
• New rows pass exact command/vendor/OS membership checks, heuristic near-duplicate rejection, fixed command holdouts and restricted-work-term scanning (zero hits). See the model card for evaluation and training.

Limitations

Intents are synthetic, not human on-call messages. The operator test shares the author's grammar, so it is not an independent realistic benchmark. Templates/numeric variants remain. The original test contains 16 curated rather than source-corpus-exact commands. Corpus membership is not release-specific correctness: there are placeholders, incomplete grammar entries, unsafe examples and under-specified intents. Never execute these labels without review. The original FortiOS test has only one example; the new operator slice has none.

Load

from datasets import load_dataset
v1 = load_dataset("gesh75/netops-intent2cli")
v2 = load_dataset("gesh75/netops-intent2cli", "v2")

Dataset MIT, unchanged. Model adapter Apache-2.0. Vendor names and command syntax are factual identifiers and trademarks of their respective owners.

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GESH · NetOps tools on Hugging Face

📡 netlog-ai	Sanitize-first network log analysis — browser lite demo of netlog-ai v1.1.0
🛠️ multivendor-cli-configurator	70k+ CLI commands across 17 vendors — cheatsheet, N-vendor compare, CLI Studio
🗂️ multivendor-cli-commands	The same 70,006 commands as a Parquet dataset
🧭 netops-intent2cli	v1 + v2 synthetic operator intents → corpus command pairs
🤖 netops-intent2cli-qwen0.5b-lora	LoRA adapter: English intent → vendor CLI (experimental)

Collection: NetOps tools · Code: github.com/gesh75 · Docs hub: gesh75.github.io

Doctrine: fail closed · sanitize first · evidence leaves, packets don't · honest coverage.