Datasets:

MRCB80
/

seecop-deterministic-extraction

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

{"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

@misc{seecop_datasets,
  title  = {SEECOP Deterministic Extraction},
  author = {SEECOP},
  year   = {2026},
  note   = {Dataset family: deterministic-extraction}
}

Licence: Apache-2.0.