[MAEB] Add GLOBE v3 dataset#4091
Merged
Samoed merged 3 commits intoembeddings-benchmark:maebfrom Feb 13, 2026
Merged
Conversation
Samoed
approved these changes
Feb 12, 2026
Member
There was a problem hiding this comment.
Should it then cross-validation if we use train split?
Collaborator
Author
There was a problem hiding this comment.
sorry got it mixed up. fixed the changes, thanks
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
If you add a model or a dataset, please add the corresponding checklist:
Perf result with
facebook/hubert-base-ls960GLOBE v2 Age perf
{ "dataset_revision": "b36e803c88037b09688f7c915d93b4cd654ba67e", "task_name": "GLOBEV2Age", "mteb_version": "2.7.25", "scores": { "train": [ { "scores_per_experiment": [ { "accuracy": 0.1898, "f1": 0.266879, "f1_weighted": 0.214302, "precision": 0.283884, "precision_weighted": 0.328228, "recall": 0.31934, "recall_weighted": 0.1898, "ap": null, "ap_weighted": null }, { "accuracy": 0.1846, "f1": 0.272757, "f1_weighted": 0.206841, "precision": 0.301653, "precision_weighted": 0.370479, "recall": 0.35243, "recall_weighted": 0.1846, "ap": null, "ap_weighted": null }, { "accuracy": 0.1836, "f1": 0.271033, "f1_weighted": 0.19902, "precision": 0.305808, "precision_weighted": 0.391794, "recall": 0.338014, "recall_weighted": 0.1836, "ap": null, "ap_weighted": null }, { "accuracy": 0.2196, "f1": 0.287799, "f1_weighted": 0.233353, "precision": 0.306469, "precision_weighted": 0.375702, "recall": 0.344944, "recall_weighted": 0.2196, "ap": null, "ap_weighted": null }, { "accuracy": 0.1786, "f1": 0.265259, "f1_weighted": 0.197294, "precision": 0.287822, "precision_weighted": 0.341984, "recall": 0.328891, "recall_weighted": 0.1786, "ap": null, "ap_weighted": null }, { "accuracy": 0.1964, "f1": 0.284313, "f1_weighted": 0.212601, "precision": 0.304775, "precision_weighted": 0.352687, "recall": 0.362618, "recall_weighted": 0.1964, "ap": null, "ap_weighted": null }, { "accuracy": 0.1766, "f1": 0.275949, "f1_weighted": 0.181255, "precision": 0.310505, "precision_weighted": 0.369717, "recall": 0.355163, "recall_weighted": 0.1766, "ap": null, "ap_weighted": null }, { "accuracy": 0.183, "f1": 0.26289, "f1_weighted": 0.197632, "precision": 0.279855, "precision_weighted": 0.321648, "recall": 0.313785, "recall_weighted": 0.183, "ap": null, "ap_weighted": null }, { "accuracy": 0.193, "f1": 0.27208, "f1_weighted": 0.218474, "precision": 0.293903, "precision_weighted": 0.349339, "recall": 0.32361, "recall_weighted": 0.193, "ap": null, "ap_weighted": null }, { "accuracy": 0.203, "f1": 0.283188, "f1_weighted": 0.218452, "precision": 0.296756, "precision_weighted": 0.341485, "recall": 0.348565, "recall_weighted": 0.203, "ap": null, "ap_weighted": null } ], "accuracy": 0.19082, "f1": 0.274215, "f1_weighted": 0.207922, "precision": 0.297143, "precision_weighted": 0.354306, "recall": 0.338736, "recall_weighted": 0.19082, "ap": NaN, "ap_weighted": NaN, "main_score": 0.19082, "hf_subset": "default", "languages": [ "eng-Latn" ] } ] }, "evaluation_time": 111.55904340744019, "kg_co2_emissions": null }GLOBE v3 Age perf
{ "dataset_revision": "f7399f4b836508a178c0913868e82462b4a8919b", "task_name": "GLOBEV3Age", "mteb_version": "2.7.25", "scores": { "test": [ { "scores_per_experiment": [ { "accuracy": 0.118, "f1": 0.096891, "f1_weighted": 0.136906, "precision": 0.12758, "precision_weighted": 0.222275, "recall": 0.168033, "recall_weighted": 0.118, "ap": null, "ap_weighted": null }, { "accuracy": 0.1562, "f1": 0.112519, "f1_weighted": 0.146576, "precision": 0.146326, "precision_weighted": 0.256424, "recall": 0.143233, "recall_weighted": 0.1562, "ap": null, "ap_weighted": null }, { "accuracy": 0.1754, "f1": 0.117358, "f1_weighted": 0.183352, "precision": 0.13677, "precision_weighted": 0.243906, "recall": 0.178396, "recall_weighted": 0.1754, "ap": null, "ap_weighted": null }, { "accuracy": 0.1416, "f1": 0.113694, "f1_weighted": 0.156998, "precision": 0.150704, "precision_weighted": 0.262231, "recall": 0.200381, "recall_weighted": 0.1416, "ap": null, "ap_weighted": null }, { "accuracy": 0.1832, "f1": 0.119853, "f1_weighted": 0.191343, "precision": 0.146549, "precision_weighted": 0.261196, "recall": 0.128697, "recall_weighted": 0.1832, "ap": null, "ap_weighted": null }, { "accuracy": 0.1368, "f1": 0.104628, "f1_weighted": 0.155017, "precision": 0.143909, "precision_weighted": 0.251367, "recall": 0.125578, "recall_weighted": 0.1368, "ap": null, "ap_weighted": null }, { "accuracy": 0.172, "f1": 0.125526, "f1_weighted": 0.181536, "precision": 0.139052, "precision_weighted": 0.237597, "recall": 0.138361, "recall_weighted": 0.172, "ap": null, "ap_weighted": null }, { "accuracy": 0.1126, "f1": 0.093525, "f1_weighted": 0.121661, "precision": 0.137891, "precision_weighted": 0.243164, "recall": 0.12934, "recall_weighted": 0.1126, "ap": null, "ap_weighted": null }, { "accuracy": 0.1672, "f1": 0.120962, "f1_weighted": 0.176902, "precision": 0.140719, "precision_weighted": 0.244364, "recall": 0.137867, "recall_weighted": 0.1672, "ap": null, "ap_weighted": null }, { "accuracy": 0.1338, "f1": 0.107529, "f1_weighted": 0.147894, "precision": 0.155887, "precision_weighted": 0.272045, "recall": 0.14416, "recall_weighted": 0.1338, "ap": null, "ap_weighted": null } ], "accuracy": 0.14968, "f1": 0.111248, "f1_weighted": 0.159819, "precision": 0.142539, "precision_weighted": 0.249457, "recall": 0.149404, "recall_weighted": 0.14968, "ap": NaN, "ap_weighted": NaN, "main_score": 0.14968, "hf_subset": "default", "languages": [ "eng-Latn" ] } ] }, "evaluation_time": 132.41054725646973, "kg_co2_emissions": null }GLOBE v3 Gender perf
{ "dataset_revision": "7020a6c14ec8a8e967013e04f2a695ead308bee1", "task_name": "GLOBEV3Gender", "mteb_version": "2.7.25", "scores": { "test": [ { "scores_per_experiment": [ { "accuracy": 0.5534, "f1": 0.55297, "f1_weighted": 0.557266, "precision": 0.597859, "precision_weighted": 0.653432, "recall": 0.601604, "recall_weighted": 0.5534, "ap": 0.709482, "ap_weighted": 0.709482 }, { "accuracy": 0.7204, "f1": 0.696982, "f1_weighted": 0.723096, "precision": 0.694011, "precision_weighted": 0.727265, "recall": 0.701648, "recall_weighted": 0.7204, "ap": 0.766489, "ap_weighted": 0.766489 }, { "accuracy": 0.7272, "f1": 0.716531, "f1_weighted": 0.733579, "precision": 0.716427, "precision_weighted": 0.759244, "recall": 0.73798, "recall_weighted": 0.7272, "ap": 0.795322, "ap_weighted": 0.795322 }, { "accuracy": 0.7252, "f1": 0.714773, "f1_weighted": 0.731679, "precision": 0.715106, "precision_weighted": 0.758328, "recall": 0.736728, "recall_weighted": 0.7252, "ap": 0.794581, "ap_weighted": 0.794581 }, { "accuracy": 0.7074, "f1": 0.677993, "f1_weighted": 0.708159, "precision": 0.677119, "precision_weighted": 0.709005, "recall": 0.678967, "recall_weighted": 0.7074, "ap": 0.751317, "ap_weighted": 0.751317 }, { "accuracy": 0.7314, "f1": 0.687009, "f1_weighted": 0.72355, "precision": 0.702476, "precision_weighted": 0.722707, "recall": 0.680002, "recall_weighted": 0.7314, "ap": 0.750354, "ap_weighted": 0.750354 }, { "accuracy": 0.6848, "f1": 0.630814, "f1_weighted": 0.674579, "precision": 0.644115, "precision_weighted": 0.671847, "recall": 0.626459, "recall_weighted": 0.6848, "ap": 0.719009, "ap_weighted": 0.719009 }, { "accuracy": 0.7072, "f1": 0.700387, "f1_weighted": 0.714393, "precision": 0.708517, "precision_weighted": 0.75711, "recall": 0.730669, "recall_weighted": 0.7072, "ap": 0.792718, "ap_weighted": 0.792718 }, { "accuracy": 0.5938, "f1": 0.5938, "f1_weighted": 0.593775, "precision": 0.657043, "precision_weighted": 0.720204, "recall": 0.657, "recall_weighted": 0.5938, "ap": 0.748249, "ap_weighted": 0.748249 }, { "accuracy": 0.7066, "f1": 0.681757, "f1_weighted": 0.709321, "precision": 0.679124, "precision_weighted": 0.713359, "recall": 0.685901, "recall_weighted": 0.7066, "ap": 0.756278, "ap_weighted": 0.756278 } ], "accuracy": 0.68574, "f1": 0.665302, "f1_weighted": 0.68694, "precision": 0.67918, "precision_weighted": 0.71925, "recall": 0.683696, "recall_weighted": 0.68574, "ap": 0.75838, "ap_weighted": 0.75838, "main_score": 0.68574, "hf_subset": "default", "languages": [ "eng-Latn" ] } ] }, "evaluation_time": 126.9462685585022, "kg_co2_emissions": null }