Card: fix stale v1 EM/775, add docs link, consistent footer

README.md

@@ -26,7 +26,7 @@ configs:
 
 **70,006 network CLI commands across 17 vendors and tools, tagged with vendor, OS, device role and category.** The command corpus behind the [Multivendor CLI Configurator](https://huggingface.co/spaces/gesh75/multivendor-cli-configurator), as one flat Parquet table.
 
-Source repo: [github.com/gesh75/multivendor-cli-configurator](https://github.com/gesh75/multivendor-cli-configurator)
+Source: [github.com/gesh75/multivendor-cli-configurator](https://github.com/gesh75/multivendor-cli-configurator) · Docs: [gesh75.github.io/multivendor-cli-configurator](https://gesh75.github.io/multivendor-cli-configurator/)
 
 ## Schema
 
@@ -74,8 +74,8 @@ MIT, matching the repo. CLI command names and syntax are functional facts belong
 
 ## Derived
 
-- [gesh75/netops-intent2cli](https://huggingface.co/datasets/gesh75/netops-intent2cli): 775 synthetic intent → real command pairs built from this corpus.
-- [gesh75/netops-intent2cli-qwen0.5b-lora](https://huggingface.co/gesh75/netops-intent2cli-qwen0.5b-lora): a LoRA trained on them (experimental, 9.3% exact match on held-out commands).
+- [gesh75/netops-intent2cli](https://huggingface.co/datasets/gesh75/netops-intent2cli): synthetic operator intents paired with verbatim commands from this corpus. Default config is v1 (565 train / 102 validation / 108 test). Config `v2` adds 650 training pairs and an 88-row `operator_test`.
+- [gesh75/netops-intent2cli-qwen0.5b-lora](https://huggingface.co/gesh75/netops-intent2cli-qwen0.5b-lora): experimental Qwen2.5-0.5B LoRA trained on v2. Published exact match: **12/108 (11.1%)** on the frozen v1 test, **9/88 (10.2%)** on `operator_test`. Not production-safe.
 
 ## Load
 
@@ -96,13 +96,12 @@ df = pd.read_parquet("hf://datasets/gesh75/multivendor-cli-commands/data/train.p
 
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-| 📡 **[netlog-ai](https://huggingface.co/spaces/gesh75/netlog-ai)** | Sanitize-first network log analysis — browser lite demo of [netlog-ai v1.1.0](https://pypi.org/project/netlog-ai/) |
+| 📡 **[netlog-ai](https://huggingface.co/spaces/gesh75/netlog-ai)** | Sanitize-first network log analysis — browser lite demo of [netlog-ai](https://pypi.org/project/netlog-ai/) (PyPI 2.1.0) |
 | 🛠️ **[multivendor-cli-configurator](https://huggingface.co/spaces/gesh75/multivendor-cli-configurator)** | 70k+ CLI commands across 17 vendors — cheatsheet, N-vendor compare, CLI Studio |
 | 🗂️ **[multivendor-cli-commands](https://huggingface.co/datasets/gesh75/multivendor-cli-commands)** | The same 70,006 commands as a Parquet dataset |
-| 🧭 **[netops-intent2cli](https://huggingface.co/datasets/gesh75/netops-intent2cli)** | 775 synthetic intent → real command pairs |
+| 🧭 **[netops-intent2cli](https://huggingface.co/datasets/gesh75/netops-intent2cli)** | v1 + v2 synthetic operator intents → corpus command pairs |
 | 🤖 **[netops-intent2cli-qwen0.5b-lora](https://huggingface.co/gesh75/netops-intent2cli-qwen0.5b-lora)** | LoRA adapter: English intent → vendor CLI (experimental) |
 
 Collection: **[NetOps tools](https://huggingface.co/collections/gesh75/netops-tools-6aef9999054238474f968bcd)** · Code: [github.com/gesh75](https://github.com/gesh75) · Docs hub: [gesh75.github.io](https://gesh75.github.io/)
 
 **Doctrine:** fail closed · sanitize first · evidence leaves, packets don't · honest coverage.
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