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@@ -11,7 +11,7 @@ Please follow instruction [here](../../README.md#setup) to setup your local deve
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Make sure your Docker daemon is running, then run this bash script:
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```bash
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bash evaluation/benchmarks/toolqa/scripts/run_infer.sh [model_config] [git-version] [agent] [eval_limit] [dataset] [hardness] [wolfram_alpha_appid]
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bash evaluation/benchmarks/toolqa/scripts/run_infer.sh [model_config] [git-version] [agent] [eval_limit] [dataset] [hardness] [wolfram-alpha-appid]
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```
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where `model_config` is mandatory, while all other arguments are optional.
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@@ -32,7 +32,7 @@ By default, the script evaluates 1 instance.
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`hardness`, the hardness to evaluate. You could choose from `easy` and `hard`. The default is `easy`.
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`wolfram_alpha_appid` is an optional argument. When given `wolfram_alpha_appid`, the agent will be able to access Wolfram Alpha's APIs.
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`wolfram-alpha-appid` is an optional argument. When given `wolfram-alpha-appid`, the agent will be able to access Wolfram Alpha's APIs.
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Note: in order to use `eval_limit`, you must also set `agent`; in order to use `dataset`, you must also set `eval_limit`; in order to use `hardness`, you must also set `dataset`.
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@@ -171,7 +171,7 @@ if __name__ == '__main__':
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default='easy',
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)
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parser.add_argument(
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'--wolfram_alpha_appid',
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'--wolfram-alpha-appid',
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type=str,
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help='wolfram alpha appid to use for wolfram alpha related tests',
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default='YOUR_WOLFRAMALPHA_APPID',
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@@ -53,7 +53,7 @@ COMMAND="poetry run python evaluation/benchmarks/toolqa/run_infer.py \
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--max-iterations 30 \
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--dataset $DATASET \
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--hardness $HARDNESS \
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--wolfram_alpha_appid $WOLFRAM_APPID\
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--wolfram-alpha-appid $WOLFRAM_APPID\
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--data-split validation \
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--eval-num-workers $NUM_WORKERS \
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--eval-note ${OPENHANDS_VERSION}_${LEVELS}"
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