Download dataset/val-33-set/f00190-d9-m1/task.toml from ChilleD/WildAWM: direct link, hf CLI and curl.
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- Download file 4.09 kB
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https://huggingface.co/datasets/ChilleD/WildAWM/resolve/main/dataset/val-33-set/f00190-d9-m1/task.toml
- Command line
-
hf download hf://datasets/ChilleD/WildAWM/dataset/val-33-set/f00190-d9-m1/task.toml
-
curl -L -o task.toml https://huggingface.co/datasets/ChilleD/WildAWM/resolve/main/dataset/val-33-set/f00190-d9-m1/task.toml
4.09 kB
| schema_version = "1.4" | |
| [task] | |
| name = "wildawm/f00190-d9-m1" | |
| version = "1.0.0" | |
| description = "Scope 3 ingest launch prep: pipeline analysis, model collection, and team notification" | |
| keywords = ["wildawm", "xai", "hard", "huggingface", "notification_feed", "cli", "mcp", "web"] | |
| [metadata] | |
| difficulty = "hard" | |
| persona = "f00190-taylor-brooks" | |
| day = 9 | |
| sites = ["huggingface"] | |
| mcp_domains = ["notification_feed"] | |
| starting_interface = "mcp" | |
| hops = 4 | |
| archetype = "data_pipeline_launch" | |
| area = "work" | |
| interface_flow = "mcp: read the Hugging Face notification feed for existing collection references -> cli: parse the RFC and eval logs to build model_analysis.json -> web: create a new Hugging Face collection and add the visually-verified zero-shot classifier -> mcp: post a notification to the feed with the collection name and accuracy summary" | |
| set_val33 = true | |
| set_sft100 = false | |
| set_rl208 = false | |
| set_rl100 = false | |
| set_july_14_100 = false | |
| set_july_30_val = true | |
| set_aug_10 = false | |
| set_sept_08 = false | |
| frozen_clock_date = "2026-04-09" | |
| frozen_clock_time = "10:00:00" | |
| source_task = "tasks_xai/f00190-taylor-brooks/day9/f00190-d9-m1" | |
| world_blob_sha256 = "5604d152c7636ff9d32d47ebb7a32adb05dfb534862f39e9f6a518274545bcd7" | |
| [agent] | |
| timeout_sec = 3600.0 | |
| [verifier] | |
| timeout_sec = 900.0 | |
| [environment] | |
| build_timeout_sec = 1800.0 | |
| cpus = 2 | |
| memory_mb = 4096 | |
| storage_mb = 20480 | |
| workdir = "/workspace" | |
| [environment.env] | |
| FAKETIME = "@2026-04-09 10:00:00" | |
| LD_PRELOAD = "/usr/lib/x86_64-linux-gnu/faketime/libfaketime.so.1" | |
| AWM_MCP_GATEWAY_URL = "http://127.0.0.1:18080" | |
| AWM_BROWSER_MCP_PORT = "8931" | |
| NODE_TLS_REJECT_UNAUTHORIZED = "0" | |
| # Vision model for describe_image; values come from the harbor environment at run time. | |
| WILDAWM_VISION_LLM_ENDPOINT = "${WILDAWM_VISION_LLM_ENDPOINT:-http://host.docker.internal:8000/v1}" | |
| WILDAWM_VISION_LLM_MODEL_NAME = "${WILDAWM_VISION_LLM_MODEL_NAME:-}" | |
| WILDAWM_VISION_LLM_KEY = "${WILDAWM_VISION_LLM_KEY:-}" | |
| # Optional vision tuning. | |
| WILDAWM_VISION_LLM_REASONING_EFFORT = "${WILDAWM_VISION_LLM_REASONING_EFFORT:-none}" | |
| WILDAWM_VISION_LLM_REASONING_CHAT_PARAM = "${WILDAWM_VISION_LLM_REASONING_CHAT_PARAM:-reasoning_effort}" | |
| WILDAWM_DESCRIBE_IMAGE_MAX_TOKENS = "${WILDAWM_DESCRIBE_IMAGE_MAX_TOKENS:-4096}" | |
| WILDAWM_DESCRIBE_IMAGE_TIMEOUT = "${WILDAWM_DESCRIBE_IMAGE_TIMEOUT:-180}" | |
| WILDAWM_DESCRIBE_IMAGE_RETRIES = "${WILDAWM_DESCRIBE_IMAGE_RETRIES:-3}" | |
| WILDAWM_DESCRIBE_IMAGE_LOCK_TIMEOUT = "${WILDAWM_DESCRIBE_IMAGE_LOCK_TIMEOUT:-180}" | |
| # Packaged Playwright browsers. | |
| PLAYWRIGHT_BROWSERS_PATH = "/opt/pw-browsers" | |
| [environment.healthcheck] | |
| command = "bash /opt/wildawm-harbor/healthcheck.sh" | |
| interval_sec = 5.0 | |
| timeout_sec = 30.0 | |
| start_period_sec = 900.0 | |
| start_interval_sec = 5.0 | |
| retries = 60 | |
| [[environment.mcp_servers]] | |
| name = "wildawm" | |
| transport = "streamable-http" | |
| url = "http://localhost:18080/mcp" | |
| [[environment.mcp_servers]] | |
| name = "email" | |
| transport = "streamable-http" | |
| url = "http://localhost:18080/email/mcp" | |
| [[environment.mcp_servers]] | |
| name = "slack" | |
| transport = "streamable-http" | |
| url = "http://localhost:18080/slack/mcp" | |
| [[environment.mcp_servers]] | |
| name = "calendar" | |
| transport = "streamable-http" | |
| url = "http://localhost:18080/calendar/mcp" | |
| [[environment.mcp_servers]] | |
| name = "canvas_lms" | |
| transport = "streamable-http" | |
| url = "http://localhost:18080/canvas_lms/mcp" | |
| [[environment.mcp_servers]] | |
| name = "direct_messages" | |
| transport = "streamable-http" | |
| url = "http://localhost:18080/direct_messages/mcp" | |
| [[environment.mcp_servers]] | |
| name = "library_system" | |
| transport = "streamable-http" | |
| url = "http://localhost:18080/library_system/mcp" | |
| [[environment.mcp_servers]] | |
| name = "support_tickets" | |
| transport = "streamable-http" | |
| url = "http://localhost:18080/support_tickets/mcp" | |
| [[environment.mcp_servers]] | |
| name = "notification_feed" | |
| transport = "streamable-http" | |
| url = "http://localhost:18080/notification_feed/mcp" | |
| [[environment.mcp_servers]] | |
| name = "browser" | |
| transport = "streamable-http" | |
| url = "http://localhost:8931/mcp" | |
| [[environment.mcp_servers]] | |
| name = "vision" | |
| transport = "stdio" | |
| command = "python3" | |
| args = ["/agent-config/describe_image_mcp.py"] |