{
 "id": "earakely-scale/AirOpsEnv-AgentEnv",
 "owner": "earakely-scale",
 "name": "AirOpsEnv-AgentEnv",
 "downloads": 3742,
 "likes": 0,
 "last_modified": "2026-10-22T15:43:43.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": "us-public-domain-iem-mit-odbl-apache-2.0",
 "licence_link": "https://github.com/earakely-scale/agentenv-airops-plugin/blob/v0.5.0/NOTICE",
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "reinforcement-learning",
  "text-generation"
 ],
 "citation": "The dataset carries several sets of terms, hence `license: other`; the plugin's\n[NOTICE](https://github.com/earakely-scale/agentenv-airops-plugin/blob/v0.5.0/NOTICE) and each source's `SOURCE.md`\nset them out.\n\n- **U.S. Government works, public domain**: the BTS on-time, T-100 and Form 41 data, the DOT's Airline Origin and\n  Destination Survey (DB1B and DB1C) behind v3's passengers, the FAA registry and the FAA Command Center advisories\n  (17 U.S.C. § 105), and the USGS The National Map orthoimagery under the airport stages in `viewer/stage/`.\n- **The Iowa Environmental Mesonet** (Iowa State University) archives the METARs, TAFs, forecast discussions and the\n  NEXRAD n0q composites in `viewer/radar/`: NWS products, public domain; the IEM asks for attribution, given here.\n- **airportsdata** (MIT licence, Mike Borsetti and contributors): the airports' names, coordinates and time zones.\n- **v2's crew rules and costs**: 14 CFR parts 117 and 121 (eCFR) and the Federal Register, the FAA's economic values\n  (Table 4-7), BLS wages, benefits and CPI-U, and GSA and DoD per diem rates, all U.S. Government works; crew bases,\n  fleet configurations and the deadhead fare are facts cited from JetBlue's 10-K filings and press releases, ALPA and\n  Airline Pilot Central, each with its URL in the plugin's `src/agentenv_airops/programs/crew_params.json`.\n- **v3's rebooking rules** are facts of JetBlue's Contract of Carriage and Customer Service Plan, quoted with their\n  source in FIDELITY.md, an",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "a83af3b7226bd37c915238f4ef3b804a17db3db1",
 "stated_evidence": "https://huggingface.co/datasets/earakely-scale/AirOpsEnv-AgentEnv/blob/a83af3b7226bd37c915238f4ef3b804a17db3db1/README.md",
 "file_evidence": "https://huggingface.co/datasets/earakely-scale/AirOpsEnv-AgentEnv/tree/a83af3b7226bd37c915238f4ef3b804a17db3db1",
 "card_nc": false
}