Agent-first facts block + custom $249 dataset offer

README.md

@@ -9,10 +9,76 @@ tags:
 - synthetic
 - tabular
 - anomaly-detection
-pretty_name: "QM Synthetic Network Intrusion Flows"
+pretty_name: QM Synthetic Network Intrusion Flows
+configs:
+- config_name: flows
+  data_files: flows_sample.csv
+  default: true
+- config_name: incidents
+  data_files: incidents.csv
 ---
 # QM Synthetic Network Intrusion Flows - Free Sample
 
+<!-- qm-buy:start -->
+**Buy the full commercial edition: $39 USD - launch price until 24 Oct 2026 (regular price $49 USD) -> [Polar checkout, instant download](https://buy.polar.sh/polar_cl_GGObtkVsr8IkPlgEdD2gD4M1kfp33AE84Jlr9360OY0)**  
+This free sample is non-commercial (CC BY-NC-SA 4.0). The paid full edition has a commercial licence.
+
+## Summary
+Synthetic enterprise network flow records with 7 labelled attack types, for intrusion-detection / SOC models; the paid full edition can be used commercially.
+- Best for: IDS / SOC model prototyping, feature engineering for per-host aggregates, detection-rule testing, teaching
+- Not for: claiming real-world detection rates or certifying a security product
+
+## Quick start
+```python
+from datasets import load_dataset
+ds = load_dataset("quailrobot/netflow-v1-sample", split="train")  # main table: flows_sample.csv
+# pandas alternative: pd.read_csv("hf://datasets/quailrobot/netflow-v1-sample/flows_sample.csv")
+```
+
+## Facts
+- Task: tabular binary + multi-class classification (intrusion detection), anomaly detection, alert triage
+- Labels: label (0/1); attack_type = port_scan, ssh_brute_force, ddos, c2_beaconing, data_exfiltration, lateral_movement, dns_tunneling; campaign_id; incidents.csv (type, low_and_slow, start)
+- Full edition size: 4,291,839 flows, 1,500 hosts, 28 days, 168 attack campaigns, attack rate 0.0211 (zip 65 MB)
+- Free sample size: 562,530 flows = first 3 days, all 7 attack types (flows_sample.csv) + the campaigns that start in that window
+- Format: full: Parquet (flows) + CSV (incidents); sample: CSV
+- What's included (full edition): flows.parquet, incidents.csv, stats.json, benchmark.json, bench_netflow.py, README.md, LICENSE.txt
+- Price: $39 USD, launch price until 24 Oct 2026 (regular price $49 USD); checkout may display the equivalent in your local currency
+- Buy URL (primary): https://buy.polar.sh/polar_cl_GGObtkVsr8IkPlgEdD2gD4M1kfp33AE84Jlr9360OY0
+- Licence (full edition): LicenseRef-QuailModel-Commercial (commercial use allowed, no resale of the data)
+- Licence (free sample): CC-BY-NC-SA-4.0
+- Validation: Our own test on the full edition (time split, last 11 days): gradient boosting on single-flow features ROC-AUC 0.937 / PR-AUC 0.260 (single flows are not enough); with 1-hour per-host aggregates 0.997 / 0.963; hard classes lateral_movement 0.020, data_exfiltration 0.456, ssh_brute_force 0.602 PR-AUC (benchmark.json + script included).
+- Data source: 100% synthetic, generated by QuailModel with AI assistance (generator code written with an AI model)
+- Catalog (all QuailModel datasets, catalog.json, llms.txt): https://quailrobot-quailmodel.static.hf.space
+- Last updated: 2026-10-10
+
+## Validation
+Our own test on the full edition (time split, last 11 days): gradient boosting on single-flow features ROC-AUC 0.937 / PR-AUC 0.260 (single flows are not enough); with 1-hour per-host aggregates 0.997 / 0.963; hard classes lateral_movement 0.020, data_exfiltration 0.456, ssh_brute_force 0.602 PR-AUC (benchmark.json + script included).
+
+## Price & licence
+- Full edition: $39 USD, launch price until 24 Oct 2026 (regular price $49 USD). One-time payment, instant download after checkout: https://buy.polar.sh/polar_cl_GGObtkVsr8IkPlgEdD2gD4M1kfp33AE84Jlr9360OY0
+- QuailModel Commercial Dataset Licence (SPDX: LicenseRef-QuailModel-Commercial): you may train, evaluate and ship models, including in commercial products. You may not resell or redistribute the dataset itself.
+- Free sample (this page): CC BY-NC-SA 4.0 - free for non-commercial use.
+
+## Limitations
+- 100% synthetic: not validated against real network captures.
+- Flow records only - no packet payloads.
+- External IPs come only from RFC 5737 documentation ranges.
+- label, attack_type and campaign_id are labels - exclude them from model inputs.
+
+## Custom dataset of YOUR object ($249)
+**Need data of YOUR object? Custom synthetic dataset, $249 USD -> [order on Polar](https://buy.polar.sh/polar_cl_AQu6LzRtqiQmKPlgPt0zePBtvWjJI4vULeFMQ4NLHH9)**
+- Note: this is an image / object-detection service (not tabular data).
+- What you get: 2,000 labelled photoreal synthetic images (640x640 JPEG) of your own object or scenario (product, part, tool, drone, package, defect...), up to 3 classes, YOLO bounding boxes + data.yaml, train/val/test split, quality report
+- Licence: commercial use allowed
+- Price: $249 USD one-time; one round of adjustments included
+- Delivery: typically 3-5 business days after we receive your reference photos + rough dimensions
+- Optional sim-to-real test: send ~200 of your own labelled real images and we report how much the synthetic data improves a detector on them
+- Refund: full refund if we cannot deliver your request (14-day refund policy)
+- Limits: only objects you own or are allowed to use; no weapons or anything meant to harm people; no copied third-party 3D assets
+- Order URL: https://buy.polar.sh/polar_cl_AQu6LzRtqiQmKPlgPt0zePBtvWjJI4vULeFMQ4NLHH9
+- Details + contact: https://quailrobot-quailmodel.static.hf.space
+<!-- qm-buy:end -->
+
 **This free sample:** 562,530 flows = first 3 days, all 7 attack types (flows_sample.csv) + the campaigns that start in that window. **Full commercial edition:** 4,291,839 flows, 1,500 hosts, 28 days, 168 attack campaigns, attack rate 0.0211 (zip 65 MB).
 Fully synthetic data; summary, facts, validation and limitations are in the block above.