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47 lines
1.3 KiB
YAML
47 lines
1.3 KiB
YAML
# datagen-config-examples/web_research.yaml
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#
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# Batch data generation config for WebResearchEnv.
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# Generates tool-calling trajectories for multi-step web research tasks.
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#
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# Usage:
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# python batch_runner.py \
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# --config datagen-config-examples/web_research.yaml \
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# --run_name web_research_v1
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environment: web-research
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# Toolsets available to the agent during data generation
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toolsets:
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- web
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- file
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# How many parallel workers to use
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num_workers: 4
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# Questions per batch
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batch_size: 20
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# Total trajectories to generate (comment out to run full dataset)
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max_items: 500
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# Model to use for generation (override with --model flag)
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model: openrouter/nousresearch/hermes-3-llama-3.1-405b
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# System prompt additions (ephemeral — not saved to trajectories)
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ephemeral_system_prompt: |
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You are a highly capable research agent. When asked a factual question,
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always use web_search to find current, accurate information before answering.
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Cite at least 2 sources. Be concise and accurate.
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# Output directory
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output_dir: data/web_research_v1
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# Trajectory compression settings (for fitting into training token budgets)
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compression:
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enabled: true
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target_max_tokens: 16000
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# Eval settings
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eval_every: 100 # Run eval every N trajectories
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eval_size: 25 # Number of held-out questions per eval run
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