Repository navigation
2.12.24
2.12.24 (2026-04-20)
Fix
-
fix: remove columns with none (#4446)
-
remove columns with none
-
Apply suggestions from code review
Co-authored-by: Kenneth Enevoldsen <kenevoldsen@pm.me>
Co-authored-by: Kenneth Enevoldsen <kennethcenevoldsen@gmail.com>
Co-authored-by: Kenneth Enevoldsen <kenevoldsen@pm.me> (63c0af6)
Unknown
- [Mveb] vggsound classification (#4444)
[MVEB] Add VGGSound audio-visual classification tasks
Add VGGSoundVAClassification (video+audio, va2c) and VGGSoundVClassification (video-only, v2c) for the VGGSound audio-visual dataset (Chen et al., ICASSP 2020).
Dataset contains 9,888 test clips across 308 sound classes from YouTube videos. Audio is the primary signal in the original task; the v2c variant serves as a
video-only baseline. Uses 5-fold cross-validation since the released split only contains test. Follows the standard MVEB classification task structure. Addresses
part of #4130 (MVEB Overview - Classification).
Co-authored-by: Yashwanth Devavarapu <yashwanthdevavarapu@Yashwanths-MacBook-Pro.local> (bf113b4)
- add mteb/Shot2Story20K dataset (#4449)
add mteb/Shot2Story20K_test dataset (b597f37)
-
Add YouCook2_val retrieval tasks (#4432)
-
Add YouCook2_val retrieval tasks (V2T, T2V, A2T, T2A)
Made-with: Cursor
- Update mteb/tasks/retrieval/eng/youcook2_retrieval.py
Co-authored-by: Roman Solomatin <samoed.roman@gmail.com>
-
add stats
-
update
Co-authored-by: Roman Solomatin <samoed.roman@gmail.com> (f0e5ab6)
-
Add VATEX retrieval tasks (#4433)
-
Add VATEX_test_1k retrieval tasks (V2T, T2V, A2T, T2A)
Made-with: Cursor
- Update mteb/tasks/retrieval/eng/vatex_retrieval.py
Co-authored-by: Roman Solomatin <samoed.roman@gmail.com>
- Update mteb/tasks/retrieval/eng/vatex_retrieval.py
Co-authored-by: Roman Solomatin <samoed.roman@gmail.com>
- update
Co-authored-by: Roman Solomatin <samoed.roman@gmail.com> (f93dc75)
-
model: add BidirLM/BidirLM-Omni-2.5B-Embedding (#4370)
-
feat: add BidirLM/BidirLM-Omni-2.5B-Embedding model implementation
-
fix: address reviewer comments on BidirLM-Omni-2.5B-Embedding:
- Load model via SentenceTransformer with trust_remote_code=True
- Remove the _get_instruction() description fallback. Add explicit
prompts for 22 MIEB/MAEB tasks
-
refactor: update to sentence transformers 5.4 and rely on encode function to get embedding
-
Apply suggestions from code review
Co-authored-by: Roman Solomatin <samoed.roman@gmail.com>
-
Feat: instruct with prompt args chat template
-
Fix: rely on EncodeKwargs for encoder function
-
Feat: improve readability
-
Refactor: Change how modality are passed to encode
-
Fix: lint error
-
Refactor: args encode
-
Refactor: Import from Bidir
-
comments update
-
Simplify get instruction (ne need for _lookup_prompt stripped)
Co-authored-by: Roman Solomatin <samoed.roman@gmail.com> (9e5c592)