DataClaw / script /run.sh
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Release v1.0: add dataset card and unify MIT license for Hugging Face
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#!/usr/bin/env bash
set -euo pipefail
cd "$(dirname "$0")/.."
# --- Build the runtime image (only needed once) ---
# docker build -t dataclaw:0.1.0 .
# --- Run all tasks ---
# python dataclaw/eval/run_batch.py --model openrouter/anthropic/claude-sonnet-4.6
# --- Run all tasks with parallelism ---
# python dataclaw/eval/run_batch.py --model openrouter/anthropic/claude-sonnet-4.6 --parallel 4
# --- Run specific tasks ---
# python dataclaw/eval/run_batch.py --model openrouter/anthropic/claude-sonnet-4.6 --suite task_001,task_002
# --- Run a single task file ---
# python dataclaw/eval/run_batch.py --task tasks/task_001_comprehensive_decision_hard_hard001.md --model openrouter/anthropic/claude-sonnet-4.6
# --- Default: run all tasks sequentially ---
python dataclaw/eval/run_batch.py \
--model "${DEFAULT_MODEL:?Set DEFAULT_MODEL in .env}" \
--parallel "${DEFAULT_PARALLEL:-1}" \
"$@"