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Download openenv.yaml from Shivacode/rl-hackathon: direct link, hf CLI and curl.
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https://huggingface.co/spaces/Shivacode/rl-hackathon/resolve/main/openenv.yaml
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hf download hf://spaces/Shivacode/rl-hackathon/openenv.yaml
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curl -L -o openenv.yaml https://huggingface.co/spaces/Shivacode/rl-hackathon/resolve/main/openenv.yaml
1.05 kB
| name: email-triage-env | |
| version: 0.1.0 | |
| description: > | |
| A real-world email triage RL environment where an AI agent classifies, | |
| prioritises, routes, and replies to incoming emails across three task levels | |
| (easy → medium → hard) with deterministic graders and partial-credit rewards. | |
| tags: | |
| - openenv | |
| - email-triage | |
| - real-world | |
| - nlp | |
| - rl | |
| action_type: TriageAction | |
| observation_type: TriageObservation | |
| tasks: | |
| - id: easy | |
| description: "Classify email category, priority, and department (no reply required)" | |
| difficulty: easy | |
| num_emails: 5 | |
| max_score: 1.0 | |
| - id: medium | |
| description: "Classify + write a short professional reply" | |
| difficulty: medium | |
| num_emails: 3 | |
| max_score: 1.0 | |
| - id: hard | |
| description: "Classify + write a detailed, accurate reply with required keywords" | |
| difficulty: hard | |
| num_emails: 3 | |
| max_score: 1.0 | |
| server: | |
| port: 8000 | |
| workers: 2 | |
| env_var: TASK_LEVEL # set to easy | medium | hard | |
| hub: | |
| repo_id: Shivacode/rl-hackathon | |
| space_sdk: docker | |
| private: false | |