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Download eval.yaml from myy555/CropMath: direct link, hf CLI and curl.
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https://huggingface.co/datasets/myy555/CropMath/resolve/main/eval.yaml
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hf download hf://datasets/myy555/CropMath/eval.yaml
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curl -L -o eval.yaml https://huggingface.co/datasets/myy555/CropMath/resolve/main/eval.yaml
952 Bytes
| # CropMath v1 evaluation protocol. | |
| # | |
| # This file is a framework-neutral protocol description. | |
| name: CropMath | |
| version: cropmath-v1 | |
| primary_config: eval_prompts | |
| primary_split: test | |
| hidden_config: hidden_public | |
| hidden_policy: answers_not_distributed | |
| hidden_scoring_service: unavailable | |
| conditions: | |
| - C | |
| - K_name | |
| - K_formula | |
| - K_domain | |
| - K_distractor | |
| - K_wrong | |
| prompt_field: prompt | |
| target_field: answer_float | |
| metadata_fields: | |
| - sample_id | |
| - formula_id | |
| - family | |
| - mode | |
| - level | |
| - precision | |
| decoding: | |
| temperature: 0.0 | |
| max_new_tokens: 2048 | |
| seed: 42 | |
| thinking_mode: off | |
| answer_extraction_order: | |
| - boxed | |
| - gsm8k_hashes | |
| - explicit_answer_line | |
| - last_number_fallback | |
| correctness: | |
| type: numeric_tolerance | |
| expression: abs(prediction - answer_float) <= max(0.5 * 10^-precision, abs(answer_float) * 0.01) | |
| statistics: | |
| paired_test: mcnemar_exact | |
| effect_size: paired_accuracy_delta | |
| multiple_testing: benjamini_hochberg_fdr | |