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Returns information about the available cross-situational word learning datasets included in the package.

Usage

show_datasets()

Value

A data frame with dataset information

Examples

show_datasets()
#>    index                     label                     condition n_trials
#> 1      1                       201                           3x4       36
#> 2      2                       202                      3x4 1/.5       36
#> 3      3                       203                     3x4 1/.66       36
#> 4      4                       204                       3x4 +6o       36
#> 5      5                       205                           2x4       54
#> 6      6                       206                     3x3 +1w/o       54
#> 7      7                       207                     4x4 +2w/o       54
#> 8      8                       211                 1x3 6/18 4AFC      108
#> 9      9                       212                  2x3 6/9 4AFC       54
#> 10    10                       213                 2x4 6/12 4AFC       54
#> 11    11                       214                  3x4 6/8 4AFC       36
#> 12    12                       215                           1x3      108
#> 13    13                       216                           2x3       54
#> 14    14                       217                      2x4 6/12       54
#> 15    15                       218                       3x4 6/8       36
#> 16    16                       219                       2x3 6/9       54
#> 17    17                       220                      3x4 9/12       54
#> 18    18                       221                           1x4      108
#> 19    19                       222                           1x3      108
#> 20    20                       223                           4x4       27
#> 21    21                       224                           3x3       36
#> 22    22                       225                           2x2       54
#> 23    23                       301                  2x2 5x 24AFC       60
#> 24    24                 filt0E_3L                     filt0E_3L       18
#> 25    25                 filt3E_3L                     filt3E_3L       27
#> 26    26                 filt6E_3L                     filt6E_3L       36
#> 27    27                 filt9E_3L                     filt9E_3L       45
#> 28    28                 filt0E_6L                     filt0E_6L       36
#> 29    29                 filt3E_6L                     filt3E_6L       45
#> 30    30                 filt6E_6L                     filt6E_6L       54
#> 31    31                 filt9E_6L                     filt9E_6L       63
#> 32    32                 filt0E_9L                     filt0E_9L       54
#> 33    33                 filt3E_9L                     filt3E_9L       63
#> 34    34                 filt6E_9L                     filt6E_9L       72
#> 35    35                 filt9E_9L                     filt9E_9L       81
#> 36    36               2_x8_39_4x4                   2_x8_39_4x4       27
#> 37    37              3_x8_369_4x4                  3_x8_369_4x4       27
#> 38    38           freq369-3x3loCD               freq369-3x3loCD       36
#> 39    39           freq369-3x3hiCD               freq369-3x3hiCD       36
#> 40    40              freq369_36mx                  freq369_36mx       36
#> 41    41              freq369_39mx                  freq369_39mx       36
#> 42    42              cont_div6-12                  cont_div6-12       36
#> 43    43 1_max_temp_spat_cont_orig   temporal+spatial contiguity       27
#> 44    44     4_no_spat_orig_max_tc      temporal contiguity only       27
#> 45    45            1olap3tr_contr 1 overlap per 3 trials, contr       27
#> 46    46  temp_cont_1olap2tr_contr 1 overlap per 2 trials, contr       27
#> 47    47  temp_cont_2olap2tr_contr 2 overlap per 2 trials, contr       27
#>    n_words n_objects n_subjects has_test
#> 1       18        18         25    FALSE
#> 2       18        18         25    FALSE
#> 3       18        18         25    FALSE
#> 4       18        24         20    FALSE
#> 5       18        18         33    FALSE
#> 6       18        18         39    FALSE
#> 7       18        18         39    FALSE
#> 8       18        18         43     TRUE
#> 9       18        18         38     TRUE
#> 10      18        18         31     TRUE
#> 11      18        18         36     TRUE
#> 12      18        18         23    FALSE
#> 13      18        18         23    FALSE
#> 14      18        18         14    FALSE
#> 15      18        18         13    FALSE
#> 16      18        18         32    FALSE
#> 17      18        18         33    FALSE
#> 18      18        18         40    FALSE
#> 19      18        18         40    FALSE
#> 20      18        18         77    FALSE
#> 21      18        18         36    FALSE
#> 22      18        18         19    FALSE
#> 23      24        24         46    FALSE
#> 24      12        12         31     TRUE
#> 25      12        12         30     TRUE
#> 26      12        12         30     TRUE
#> 27      12        12         31     TRUE
#> 28      12        12         23     TRUE
#> 29      12        12         23     TRUE
#> 30      12        12         23     TRUE
#> 31      12        12         23     TRUE
#> 32      12        12         31     TRUE
#> 33      12        12         31     TRUE
#> 34      12        12         31     TRUE
#> 35      12        12         31     TRUE
#> 36      18        18         30    FALSE
#> 37      18        18         30    FALSE
#> 38      18        18         34    FALSE
#> 39      18        18        104    FALSE
#> 40      18        18         66    FALSE
#> 41      18        18         40    FALSE
#> 42      18        18         62    FALSE
#> 43      18        18         30     TRUE
#> 44      18        18         32     TRUE
#> 45      18        18         31     TRUE
#> 46      18        18         31     TRUE
#> 47      18        18         31     TRUE