Memorisation-Profiles
Collection
Artefacts for the paper "Causal Estimation of Memorisation Profiles" (Lesci et al., 2024)
•
14 items
•
Updated
cohort
int64 1k
143k
| base_period
int64 0
142k
| time
int64 1k
143k
| ATT
float64 -0.19
1.14
| std_error
float64 0
1.2
| lower
float64 -4.06
0
| upper
float64 -0.07
6.32
| zero_not_in_cband
stringclasses 2
values | model_size
stringclasses 7
values | stat
stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|
1,000 | 0 | 1,000 | 0.115188 | 0.079778 | -0.237697 | 0.468073 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 2,000 | 0.126388 | 0.072622 | -0.194843 | 0.447619 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 3,000 | 0.121021 | 0.073265 | -0.203056 | 0.445098 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 4,000 | 0.122361 | 0.074109 | -0.205451 | 0.450173 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 5,000 | 0.125462 | 0.072099 | -0.193456 | 0.444379 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 6,000 | 0.124346 | 0.072583 | -0.196713 | 0.445405 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 7,000 | 0.121837 | 0.072636 | -0.199456 | 0.44313 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 8,000 | 0.120362 | 0.071686 | -0.196728 | 0.437452 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 9,000 | 0.125104 | 0.071127 | -0.189518 | 0.439725 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 10,000 | 0.121432 | 0.071825 | -0.196277 | 0.439141 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 11,000 | 0.120983 | 0.069619 | -0.186964 | 0.42893 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 12,000 | 0.118659 | 0.0714 | -0.197167 | 0.434484 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 13,000 | 0.117997 | 0.072058 | -0.200743 | 0.436737 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 14,000 | 0.124449 | 0.072755 | -0.197372 | 0.446271 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 15,000 | 0.118597 | 0.072646 | -0.20274 | 0.439934 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 16,000 | 0.122126 | 0.071024 | -0.192039 | 0.436292 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 17,000 | 0.12517 | 0.071768 | -0.192283 | 0.442624 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 18,000 | 0.120269 | 0.071902 | -0.19778 | 0.438318 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 19,000 | 0.125931 | 0.072689 | -0.195598 | 0.44746 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 20,000 | 0.127666 | 0.071976 | -0.19071 | 0.446043 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 21,000 | 0.122732 | 0.071279 | -0.192559 | 0.438024 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 22,000 | 0.122041 | 0.07059 | -0.190203 | 0.434285 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 23,000 | 0.122626 | 0.071065 | -0.191722 | 0.436973 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 24,000 | 0.120638 | 0.070194 | -0.189853 | 0.431129 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 25,000 | 0.121392 | 0.07106 | -0.192932 | 0.435716 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 26,000 | 0.121166 | 0.072302 | -0.198652 | 0.440984 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 27,000 | 0.125774 | 0.072991 | -0.197092 | 0.44864 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 28,000 | 0.11892 | 0.071989 | -0.199512 | 0.437352 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 29,000 | 0.12677 | 0.071475 | -0.189391 | 0.44293 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 30,000 | 0.127778 | 0.071385 | -0.187983 | 0.443539 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 31,000 | 0.127853 | 0.071974 | -0.190514 | 0.44622 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 32,000 | 0.12538 | 0.071411 | -0.190494 | 0.441254 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 33,000 | 0.122878 | 0.069576 | -0.184881 | 0.430636 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 34,000 | 0.12709 | 0.071399 | -0.188732 | 0.442911 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 35,000 | 0.121455 | 0.070737 | -0.191438 | 0.434347 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 36,000 | 0.118224 | 0.070882 | -0.195313 | 0.431761 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 37,000 | 0.120345 | 0.070933 | -0.193417 | 0.434108 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 38,000 | 0.123562 | 0.072268 | -0.196104 | 0.443229 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 39,000 | 0.118626 | 0.070026 | -0.191125 | 0.428377 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 40,000 | 0.128304 | 0.071156 | -0.186443 | 0.443051 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 41,000 | 0.124666 | 0.071137 | -0.189996 | 0.439329 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 42,000 | 0.124979 | 0.069927 | -0.184333 | 0.434291 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 43,000 | 0.124465 | 0.072255 | -0.195145 | 0.444074 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 44,000 | 0.124293 | 0.070863 | -0.189157 | 0.437743 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 45,000 | 0.119923 | 0.07023 | -0.19073 | 0.430576 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 46,000 | 0.1233 | 0.070072 | -0.186651 | 0.433251 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 47,000 | 0.122602 | 0.071248 | -0.192554 | 0.437758 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 48,000 | 0.125689 | 0.071008 | -0.188406 | 0.439784 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 49,000 | 0.125509 | 0.072196 | -0.193837 | 0.444856 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 50,000 | 0.116656 | 0.070076 | -0.193314 | 0.426626 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 51,000 | 0.12071 | 0.070555 | -0.19138 | 0.432799 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 52,000 | 0.123946 | 0.070678 | -0.188688 | 0.43658 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 53,000 | 0.122943 | 0.070324 | -0.188125 | 0.43401 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 54,000 | 0.119403 | 0.069307 | -0.187164 | 0.425971 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 55,000 | 0.119456 | 0.069482 | -0.187886 | 0.426797 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 56,000 | 0.125629 | 0.068697 | -0.17824 | 0.429498 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 57,000 | 0.126156 | 0.069537 | -0.181433 | 0.433745 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 58,000 | 0.122997 | 0.069364 | -0.183824 | 0.429818 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 59,000 | 0.124823 | 0.071376 | -0.190896 | 0.440542 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 60,000 | 0.124877 | 0.069389 | -0.182053 | 0.431807 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 61,000 | 0.11912 | 0.068995 | -0.186069 | 0.424308 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 62,000 | 0.121624 | 0.070295 | -0.189316 | 0.432563 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 63,000 | 0.120522 | 0.069311 | -0.186067 | 0.42711 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 64,000 | 0.11993 | 0.068627 | -0.18363 | 0.42349 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 65,000 | 0.123632 | 0.069262 | -0.18274 | 0.430003 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 66,000 | 0.126907 | 0.0695 | -0.180516 | 0.43433 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 67,000 | 0.123033 | 0.069406 | -0.183973 | 0.430039 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 68,000 | 0.119838 | 0.069266 | -0.186551 | 0.426227 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 69,000 | 0.117953 | 0.069011 | -0.187306 | 0.423212 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 70,000 | 0.121473 | 0.069801 | -0.187282 | 0.430229 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 71,000 | 0.120718 | 0.069481 | -0.186621 | 0.428058 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 72,000 | 0.122137 | 0.069507 | -0.185317 | 0.429592 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 73,000 | 0.122294 | 0.068112 | -0.178991 | 0.423579 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 74,000 | 0.123358 | 0.069748 | -0.185163 | 0.431879 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 75,000 | 0.123367 | 0.068569 | -0.179938 | 0.426672 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 76,000 | 0.121667 | 0.06903 | -0.183674 | 0.427009 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 77,000 | 0.120186 | 0.06844 | -0.182549 | 0.422922 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 78,000 | 0.120844 | 0.069291 | -0.185654 | 0.427343 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 79,000 | 0.120459 | 0.06898 | -0.184666 | 0.425583 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 80,000 | 0.118945 | 0.068899 | -0.185821 | 0.42371 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 81,000 | 0.116564 | 0.068437 | -0.186157 | 0.419284 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 82,000 | 0.121882 | 0.06856 | -0.181384 | 0.425148 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 83,000 | 0.121359 | 0.068902 | -0.183417 | 0.426135 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 84,000 | 0.120011 | 0.069714 | -0.18836 | 0.428382 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 85,000 | 0.120779 | 0.070038 | -0.189024 | 0.430582 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 86,000 | 0.124594 | 0.069441 | -0.182569 | 0.431757 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 87,000 | 0.120256 | 0.069156 | -0.185646 | 0.426157 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 88,000 | 0.1179 | 0.068789 | -0.186379 | 0.422179 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 89,000 | 0.117589 | 0.069234 | -0.188658 | 0.423836 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 90,000 | 0.120905 | 0.069456 | -0.186321 | 0.428131 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 91,000 | 0.11865 | 0.06914 | -0.187182 | 0.424483 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 92,000 | 0.12133 | 0.069381 | -0.185566 | 0.428227 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 93,000 | 0.12067 | 0.069606 | -0.18722 | 0.42856 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 94,000 | 0.118219 | 0.068192 | -0.183419 | 0.419856 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 95,000 | 0.11658 | 0.069864 | -0.192453 | 0.425613 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 96,000 | 0.11471 | 0.068161 | -0.18679 | 0.416209 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 97,000 | 0.11722 | 0.06966 | -0.190911 | 0.425351 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 98,000 | 0.120441 | 0.068905 | -0.184352 | 0.425234 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 99,000 | 0.119353 | 0.068594 | -0.184063 | 0.422768 | 6.9b | sequence_surprisal |
|
1,000 | 0 | 100,000 | 0.121007 | 0.069214 | -0.18515 | 0.427164 | 6.9b | sequence_surprisal |
End of preview. Expand
in Dataset Viewer.
README.md exists but content is empty.
- Downloads last month
- 47
Size of downloaded dataset files:
87.7 MB
Size of the auto-converted Parquet files:
87.7 MB
Number of rows:
2,126,696