name: OpenDataOpsEnv
version: "1.1.0"
description: >
  DataOps incident-response environment. Agents query SQLite databases,
  remove NULL data, mask PII, and repair broken SQL pipelines.
  All schemas and data are dynamically generated per episode via seeded Faker — zero hardcoding.
domain: "Data Engineering / DataOps"
tags: ["openenv", "dataops", "sql", "pii", "data-quality", "pipeline-repair"]
action_space:
  type: "JSON Union"
  schema_endpoint: "/tasks"
  action_types: ["query", "ddl", "test", "submit"]
observation_space:
  type: "JSON"
  max_steps_per_episode: 20
tasks:
  - id: 1
    name: "Data Cleaning"
    difficulty: "easy"
  - id: 2
    name: "PII Masking"
    difficulty: "medium"
  - id: 3
    name: "Pipeline Repair"
    difficulty: "hard"
endpoints:
  reset: "POST /reset"
  step: "POST /step"
  state: "GET /state"
  grader: "GET /grader"
  tasks: "GET /tasks"
  baseline: "POST /baseline"
baseline_scores:
  task_1:
    seed: 42
    model: llama-3.3-70b-versatile
    score: 1.0000
    date: 2026-04-06
  task_2:
    seed: 99
    model: llama-3.3-70b-versatile
    score: 0.6136
    date: 2026-04-06
  task_3:
    seed: 777
    model: llama-3.3-70b-versatile
    score: 0.9250
    date: 2026-04-06