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####UNZIPPED FOLDER####
content
└── data2export
β”œβ”€β”€ extrapolate
β”‚Β Β  β”œβ”€β”€ algebra__polynomial_roots_big.csv
β”‚Β Β  β”œβ”€β”€ arithmetic__add_or_sub_big.csv
β”‚Β Β  β”œβ”€β”€ arithmetic__add_sub_multiple_longer.csv
β”‚Β Β  β”œβ”€β”€ arithmetic__div_big.csv
β”‚Β Β  β”œβ”€β”€ arithmetic__mixed_longer.csv
β”‚Β Β  β”œβ”€β”€ arithmetic__mul_big.csv
β”‚Β Β  β”œβ”€β”€ arithmetic__mul_div_multiple_longer.csv
β”‚Β Β  β”œβ”€β”€ comparison__closest_more.csv
β”‚Β Β  β”œβ”€β”€ comparison__kth_biggest_more.csv
β”‚Β Β  β”œβ”€β”€ comparison__sort_more.csv
β”‚Β Β  β”œβ”€β”€ measurement__conversion.csv
β”‚Β Β  β”œβ”€β”€ numbers__place_value_big.csv
β”‚Β Β  β”œβ”€β”€ numbers__round_number_big.csv
β”‚Β Β  β”œβ”€β”€ probability__swr_p_level_set_more_samples.csv
β”‚Β Β  └── probability__swr_p_sequence_more_samples.csv
β”œβ”€β”€ interpolate
β”‚Β Β  β”œβ”€β”€ algebra__linear_1d.csv
β”‚Β Β  β”œβ”€β”€ algebra__linear_1d_composed.csv
β”‚Β Β  β”œβ”€β”€ algebra__linear_2d.csv
β”‚Β Β  β”œβ”€β”€ algebra__linear_2d_composed.csv
β”‚Β Β  β”œβ”€β”€ algebra__polynomial_roots.csv
β”‚Β Β  β”œβ”€β”€ algebra__polynomial_roots_composed.csv
β”‚Β Β  β”œβ”€β”€ algebra__sequence_next_term.csv
β”‚Β Β  β”œβ”€β”€ algebra__sequence_nth_term.csv
β”‚Β Β  β”œβ”€β”€ arithmetic__add_or_sub.csv
β”‚Β Β  β”œβ”€β”€ arithmetic__add_or_sub_in_base.csv
β”‚Β Β  β”œβ”€β”€ arithmetic__add_sub_multiple.csv
β”‚Β Β  β”œβ”€β”€ arithmetic__div.csv
β”‚Β Β  β”œβ”€β”€ arithmetic__mixed.csv
β”‚Β Β  β”œβ”€β”€ arithmetic__mul.csv
β”‚Β Β  β”œβ”€β”€ arithmetic__mul_div_multiple.csv
β”‚Β Β  β”œβ”€β”€ arithmetic__nearest_integer_root.csv
β”‚Β Β  β”œβ”€β”€ arithmetic__simplify_surd.csv
β”‚Β Β  β”œβ”€β”€ calculus__differentiate.csv
β”‚Β Β  β”œβ”€β”€ calculus__differentiate_composed.csv
β”‚Β Β  β”œβ”€β”€ comparison__closest.csv
β”‚Β Β  β”œβ”€β”€ comparison__closest_composed.csv
β”‚Β Β  β”œβ”€β”€ comparison__kth_biggest.csv
β”‚Β Β  β”œβ”€β”€ comparison__kth_biggest_composed.csv
β”‚Β Β  β”œβ”€β”€ comparison__pair.csv
β”‚Β Β  β”œβ”€β”€ comparison__pair_composed.csv
β”‚Β Β  β”œβ”€β”€ comparison__sort.csv
β”‚Β Β  β”œβ”€β”€ comparison__sort_composed.csv
β”‚Β Β  β”œβ”€β”€ measurement__conversion.csv
β”‚Β Β  β”œβ”€β”€ measurement__time.csv
β”‚Β Β  β”œβ”€β”€ numbers__base_conversion.csv
β”‚Β Β  β”œβ”€β”€ numbers__div_remainder.csv
β”‚Β Β  β”œβ”€β”€ numbers__div_remainder_composed.csv
β”‚Β Β  β”œβ”€β”€ numbers__gcd.csv
β”‚Β Β  β”œβ”€β”€ numbers__gcd_composed.csv
β”‚Β Β  β”œβ”€β”€ numbers__is_factor.csv
β”‚Β Β  β”œβ”€β”€ numbers__is_factor_composed.csv
β”‚Β Β  β”œβ”€β”€ numbers__is_prime.csv
β”‚Β Β  β”œβ”€β”€ numbers__is_prime_composed.csv
β”‚Β Β  β”œβ”€β”€ numbers__lcm.csv
β”‚Β Β  β”œβ”€β”€ numbers__lcm_composed.csv
β”‚Β Β  β”œβ”€β”€ numbers__list_prime_factors.csv
β”‚Β Β  β”œβ”€β”€ numbers__list_prime_factors_composed.csv
β”‚Β Β  β”œβ”€β”€ numbers__place_value.csv
β”‚Β Β  β”œβ”€β”€ numbers__place_value_composed.csv
β”‚Β Β  β”œβ”€β”€ numbers__round_number.csv
β”‚Β Β  β”œβ”€β”€ numbers__round_number_composed.csv
β”‚Β Β  β”œβ”€β”€ polynomials__add.csv
β”‚Β Β  β”œβ”€β”€ polynomials__coefficient_named.csv
β”‚Β Β  β”œβ”€β”€ polynomials__collect.csv
β”‚Β Β  β”œβ”€β”€ polynomials__compose.csv
β”‚Β Β  β”œβ”€β”€ polynomials__evaluate.csv
β”‚Β Β  β”œβ”€β”€ polynomials__evaluate_composed.csv
β”‚Β Β  β”œβ”€β”€ polynomials__expand.csv
β”‚Β Β  β”œβ”€β”€ polynomials__simplify_power.csv
β”‚Β Β  β”œβ”€β”€ probability__swr_p_level_set.csv
β”‚Β Β  └── probability__swr_p_sequence.csv
β”œβ”€β”€ trainset.csv
└── valset.csv

DESCRIPTION: in the trainset.csv there are 180_000 couples of input and output, in valset.csv 20_000.

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