--- license: mit dataset_info: - config_name: algebra__linear_1d features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 538 num_examples: 9 - name: test num_bytes: 657 num_examples: 10 download_size: 98096 dataset_size: 1195 - config_name: algebra__linear_1d_composed features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1270 num_examples: 9 - name: test num_bytes: 1332 num_examples: 10 download_size: 98096 dataset_size: 2602 - config_name: algebra__linear_2d features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 698 num_examples: 9 - name: test num_bytes: 787 num_examples: 10 download_size: 98096 dataset_size: 1485 - config_name: algebra__linear_2d_composed features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1312 num_examples: 9 - name: test num_bytes: 1286 num_examples: 10 download_size: 98096 dataset_size: 2598 - config_name: algebra__polynomial_roots features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 861 num_examples: 9 - name: test num_bytes: 1005 num_examples: 10 download_size: 98096 dataset_size: 1866 - config_name: algebra__polynomial_roots_composed features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1392 num_examples: 9 - name: test num_bytes: 1623 num_examples: 10 download_size: 98096 dataset_size: 3015 - config_name: algebra__sequence_next_term features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 702 num_examples: 9 - name: test num_bytes: 960 num_examples: 10 download_size: 98096 dataset_size: 1662 - config_name: algebra__sequence_nth_term features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1144 num_examples: 9 - name: test num_bytes: 1361 num_examples: 10 download_size: 98096 dataset_size: 2505 - config_name: arithmetic__add_or_sub features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 541 num_examples: 9 - name: test num_bytes: 623 num_examples: 10 download_size: 98096 dataset_size: 1164 - config_name: arithmetic__add_or_sub_in_base features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 560 num_examples: 9 - name: test num_bytes: 656 num_examples: 10 download_size: 98096 dataset_size: 1216 - config_name: arithmetic__add_sub_multiple features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 475 num_examples: 9 - name: test num_bytes: 580 num_examples: 10 download_size: 98096 dataset_size: 1055 - config_name: arithmetic__div features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 460 num_examples: 9 - name: test num_bytes: 526 num_examples: 10 download_size: 98096 dataset_size: 986 - config_name: arithmetic__mixed features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 497 num_examples: 9 - name: test num_bytes: 647 num_examples: 10 download_size: 98096 dataset_size: 1144 - config_name: arithmetic__mul features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 413 num_examples: 9 - name: test num_bytes: 481 num_examples: 10 download_size: 98096 dataset_size: 894 - config_name: arithmetic__mul_div_multiple features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 524 num_examples: 9 - name: test num_bytes: 643 num_examples: 10 download_size: 98096 dataset_size: 1167 - config_name: arithmetic__nearest_integer_root features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 991 num_examples: 9 - name: test num_bytes: 1132 num_examples: 10 download_size: 98096 dataset_size: 2123 - config_name: arithmetic__simplify_surd features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1016 num_examples: 9 - name: test num_bytes: 1201 num_examples: 10 download_size: 98096 dataset_size: 2217 - config_name: calculus__differentiate features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1157 num_examples: 9 - name: test num_bytes: 1212 num_examples: 10 download_size: 98096 dataset_size: 2369 - config_name: calculus__differentiate_composed features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1443 num_examples: 9 - name: test num_bytes: 1743 num_examples: 10 download_size: 98096 dataset_size: 3186 - config_name: comparison__closest features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 768 num_examples: 9 - name: test num_bytes: 930 num_examples: 10 download_size: 98096 dataset_size: 1698 - config_name: comparison__closest_composed features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1309 num_examples: 9 - name: test num_bytes: 1418 num_examples: 10 download_size: 98096 dataset_size: 2727 - config_name: comparison__kth_biggest features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 741 num_examples: 9 - name: test num_bytes: 945 num_examples: 10 download_size: 98096 dataset_size: 1686 - config_name: comparison__kth_biggest_composed features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1084 num_examples: 9 - name: test num_bytes: 1382 num_examples: 10 download_size: 98096 dataset_size: 2466 - config_name: comparison__pair features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 533 num_examples: 9 - name: test num_bytes: 654 num_examples: 10 download_size: 98096 dataset_size: 1187 - config_name: comparison__pair_composed features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1097 num_examples: 9 - name: test num_bytes: 1365 num_examples: 10 download_size: 98096 dataset_size: 2462 - config_name: comparison__sort features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 673 num_examples: 9 - name: test num_bytes: 895 num_examples: 10 download_size: 98096 dataset_size: 1568 - config_name: comparison__sort_composed features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1142 num_examples: 9 - name: test num_bytes: 1075 num_examples: 10 download_size: 98096 dataset_size: 2217 - config_name: measurement__conversion features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 710 num_examples: 9 - name: test num_bytes: 756 num_examples: 10 download_size: 98096 dataset_size: 1466 - config_name: measurement__time features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 627 num_examples: 9 - name: test num_bytes: 701 num_examples: 10 download_size: 98096 dataset_size: 1328 - config_name: numbers__base_conversion features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 557 num_examples: 9 - name: test num_bytes: 642 num_examples: 10 download_size: 98096 dataset_size: 1199 - config_name: numbers__div_remainder features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 652 num_examples: 9 - name: test num_bytes: 757 num_examples: 10 download_size: 98096 dataset_size: 1409 - config_name: numbers__div_remainder_composed features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1081 num_examples: 9 - name: test num_bytes: 1358 num_examples: 10 download_size: 98096 dataset_size: 2439 - config_name: numbers__gcd features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 610 num_examples: 9 - name: test num_bytes: 700 num_examples: 10 download_size: 98096 dataset_size: 1310 - config_name: numbers__gcd_composed features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1239 num_examples: 9 - name: test num_bytes: 1567 num_examples: 10 download_size: 98096 dataset_size: 2806 - config_name: numbers__is_factor features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 544 num_examples: 9 - name: test num_bytes: 607 num_examples: 10 download_size: 98096 dataset_size: 1151 - config_name: numbers__is_factor_composed features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1073 num_examples: 9 - name: test num_bytes: 1198 num_examples: 10 download_size: 98096 dataset_size: 2271 - config_name: numbers__is_prime features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 570 num_examples: 9 - name: test num_bytes: 648 num_examples: 10 download_size: 98096 dataset_size: 1218 - config_name: numbers__is_prime_composed features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1109 num_examples: 9 - name: test num_bytes: 1452 num_examples: 10 download_size: 98096 dataset_size: 2561 - config_name: numbers__lcm features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 697 num_examples: 9 - name: test num_bytes: 807 num_examples: 10 download_size: 98096 dataset_size: 1504 - config_name: numbers__lcm_composed features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1382 num_examples: 9 - name: test num_bytes: 1163 num_examples: 10 download_size: 98096 dataset_size: 2545 - config_name: numbers__list_prime_factors features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 602 num_examples: 9 - name: test num_bytes: 715 num_examples: 10 download_size: 98096 dataset_size: 1317 - config_name: numbers__list_prime_factors_composed features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1319 num_examples: 9 - name: test num_bytes: 1220 num_examples: 10 download_size: 98096 dataset_size: 2539 - config_name: numbers__place_value features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 662 num_examples: 9 - name: test num_bytes: 780 num_examples: 10 download_size: 98096 dataset_size: 1442 - config_name: numbers__place_value_composed features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1219 num_examples: 9 - name: test num_bytes: 1371 num_examples: 10 download_size: 98096 dataset_size: 2590 - config_name: numbers__round_number features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 797 num_examples: 9 - name: test num_bytes: 844 num_examples: 10 download_size: 98096 dataset_size: 1641 - config_name: numbers__round_number_composed features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1158 num_examples: 9 - name: test num_bytes: 1377 num_examples: 10 download_size: 98096 dataset_size: 2535 - config_name: polynomials__add features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1419 num_examples: 9 - name: test num_bytes: 1540 num_examples: 10 download_size: 98096 dataset_size: 2959 - config_name: polynomials__coefficient_named features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1163 num_examples: 9 - name: test num_bytes: 1441 num_examples: 10 download_size: 98096 dataset_size: 2604 - config_name: polynomials__collect features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 742 num_examples: 9 - name: test num_bytes: 917 num_examples: 10 download_size: 98096 dataset_size: 1659 - config_name: polynomials__compose features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1275 num_examples: 9 - name: test num_bytes: 1314 num_examples: 10 download_size: 98096 dataset_size: 2589 - config_name: polynomials__evaluate features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 625 num_examples: 9 - name: test num_bytes: 706 num_examples: 10 download_size: 98096 dataset_size: 1331 - config_name: polynomials__evaluate_composed features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1193 num_examples: 9 - name: test num_bytes: 1492 num_examples: 10 download_size: 98096 dataset_size: 2685 - config_name: polynomials__expand features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 913 num_examples: 9 - name: test num_bytes: 1014 num_examples: 10 download_size: 98096 dataset_size: 1927 - config_name: polynomials__simplify_power features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1155 num_examples: 9 - name: test num_bytes: 1481 num_examples: 10 download_size: 98096 dataset_size: 2636 - config_name: probability__swr_p_level_set features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1541 num_examples: 9 - name: test num_bytes: 1766 num_examples: 10 download_size: 98096 dataset_size: 3307 - config_name: probability__swr_p_sequence features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 1619 num_examples: 9 - name: test num_bytes: 1781 num_examples: 10 download_size: 98096 dataset_size: 3400 --- To run generation code within 'mathematics_dataset\mathematics_dataset\': - Activate python venv ``` .\.venv\Scripts\activate ``` - Requirements defined in requires.txt - Run ```python generate_to_file.py --output_dir ds``` to generate dataset to directory \ds Had to change enconding when opening files to utf-8 so that some characters are allowed (ã õ é) To obtain dataset with the correct amount of rows: - python ```generate_to_file.py --output_dir ds --per_train_module 1999998 --per_test_module 10000``` This dataset creates train set (train-easy,train-medium,train-hard) and the creates extrapolation ("measure generalization along various axes of difficulty to beyond that seen during training") and interpolation ("test questions are distinct from the train questions") tests. On HugginFace only interpolate tests are used as test set. Some tests will not work, since they rely on english terms.