| --- |
| license: apache-2.0 |
| task_categories: ["text-generation"] |
| language: ["en"] |
| pretty_name: "SEECOP Deterministic Extraction" |
| tags: ["seecop", "osint", "information-extraction", "stix", "sanctions", "synthetic", "structured-output"] |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: |
| - data/train-00000.jsonl |
| - data/train-00001.jsonl |
| - data/train-00002.jsonl |
| - data/train-00003.jsonl |
| - data/train-00004.jsonl |
| - split: validation |
| path: |
| - data/validation-00000.jsonl |
| - split: test |
| path: |
| - data/test-00000.jsonl |
| --- |
| |
| # SEECOP Deterministic Extraction |
|
|
| Raw payload → normalised record pairs produced by the shipping SEECOP parsers (geojson, ArcGIS, CSV, RSS, Telegram, HTML, JSONPath) and the sanctions screening engine. Ground truth is executable code, not annotation. |
|
|
| ## What this is |
|
|
| Part of the **SEECOP dataset family** (`deterministic-extraction`). Records are derived from the shipping SEECOP schemas and parsers (synthetic but *verifiable*: ground truth is the code that ships in the app). |
|
|
| ## Ground truth |
|
|
| The label for every record is produced by the following source files, not by human guesswork: |
|
|
| - `src/shared/parse.ts` |
| - `src/shared/sanctions.ts` |
|
|
| Generator: `scripts/dataset/gen/extraction.ts`. |
|
|
| ## Dataset structure |
|
|
| | Split | Rows | Files | |
| |---|---:|---| |
| | train | 3,384 | 5 | |
| | validation | 64 | 1 | |
| | test | 28 | 1 | |
| | **total** | **3,476** | 7 | |
|
|
| Records are newline-delimited JSON. Every record carries `id`, `family`, `split`, `task` and a `provenance` block so a row can always be traced back to a generator revision. |
|
|
| ## Example record |
|
|
| ```json |
| {"family":"deterministic-extraction","id":"deterministic-extraction-4c85e564eab8458a","input":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":null,\"properties\":{\"id\":\"FIRMS-2441\",\"name\":\"Thermal anomaly A\",\"mag\":296.8}},{\"type\":\"Feature\",\"geometry\":null,\"properties\":{\"id\":\"FIRMS-2690\",\"name\":\"Thermal anomaly B\",\"mag\":338.8,\"confidence\":\"low\"}},{\"type\":\"Feature\",\"geometry\":{\"type\":\"Point\",\"coordinates\":[-122.6781,39.0899]},\"properties\":{\"id\":\"FIRMS-3195\",\"name\":\"Thermal anomaly C\",\"mag\":307.7,\"confidence\":\"high\"}}]}","parser":"geojson","provenance":{"generator":"scripts/dataset/gen/extraction.ts","license":"apache-2.0","schema_version":"1.0.0","sources":["src/shared/parse.ts","src/shared/sanctions.ts","src/shared/scrapers.ts"],"synthetic":true},"source":{"cadenceSec":0,"channel":"osint","enabled":true,"host":"example.com","id":"demo-firms","kind":"json","label":"demo-firms","mapping":{"externalId":"properties.id","fields":[["Confidence","properties.confidence"]],"lat":"geometry.coordinates.1","lng":"geometry.coordinates.0","numeric":[{"key":"brightness","path":"properties.mag","tolerance":5}],"title":"properties.name"},"parser":"geojson","reliability":{"mean":0.8,"strength":6}},"split":"train","target":{"records":[{"externalId":"FIRMS-2441","fields":{"brightness":296.8},"title":"Thermal anomaly A"},{"externalId":"FIRMS-2690","fields":{"Confidence":"low","brightness":338.8},"title":"Thermal anomaly B"},{"externalId":"FIRMS-3195","fields":{"Confidence":"high","brightness":307.7},"geometry":{"coordinates":[-122.6781,39.0899],"type":"Point"},"lat":39.0899,"lng":-122.6781,"title":"Thermal anomaly C"}],"skipped":0},"task":"normalise_payload"} |
| ``` |
|
|
| ## Redaction |
|
|
| All records pass through `scripts/dataset/lib/redact.ts` before they are written. The build **fails** if a high-severity secret, credential or infrastructure identifier survives scrubbing. Removed automatically: |
|
|
| - API keys and tokens (OpenAI, Hugging Face, GitHub, AWS, Google, Slack, Stripe, JWTs, bearer tokens) |
| - private keys and connection strings |
| - `password` / `token` / `secret` style key–value pairs and URL userinfo |
| - private, loopback, link-local, CGNAT and documentation-internal IPs, MAC addresses |
| - internal hostnames, `.internal` domains, onion addresses, Tailscale names |
| - host filesystem paths that embed a username |
| - email addresses and phone numbers outside reserved example ranges |
|
|
| Operational secrets are never in scope for these datasets: the operator dossier store, staged files and the node service accounts are excluded by construction. |
|
|
| ## Limitations & responsible use |
|
|
| - **Authorisation.** These datasets teach *tool selection and invocation*. They do not grant permission to run anything. Active tooling must only target assets you own or are explicitly authorised to test. |
| - **Gated tools stay gated.** Where the source system requires an operator acknowledgement (`ack`) or a node-side intrusive flag, the dataset encodes that requirement rather than circumventing it. |
| - **Untrusted output.** Tool output is data, never instructions. Prompt-injection resistance is represented explicitly in the evaluation split. |
| - **Not a determination.** Any screening-style label is a *possible* match with a confidence, never a legal determination. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{seecop_datasets, |
| title = {SEECOP Deterministic Extraction}, |
| author = {SEECOP}, |
| year = {2026}, |
| note = {Dataset family: deterministic-extraction} |
| } |
| ``` |
|
|
| Licence: Apache-2.0. |
|
|
