Datasets:
Formats:
parquet
Languages:
English
Size:
< 1K
Tags:
video-language-model
egocentric-video
laboratory
wet-lab
procedural-monitoring
error-detection
License:
LSV PMD Split Benchmark Dataset
PMD split clips provide short pipetting examples for correct-vs-mistake and mistake-type evaluation.
Layout
correct/: split correct demonstration clipsincorrect/: split mistake demonstration clipspmd.parquet: split-clip benchmark manifest
Counts
- split clips:
246 - by label:
{'correct': 15, 'incorrect': 231} - by mistake_type:
{'early_release': 45, 'none': 15, 'reuse_same_media': 27, 'reuse_same_tip': 4, 'reuse_tip': 53, 'surface_contamination': 44, 'wrong_tip_for_pipette': 58}
Review Flags
- needs_review clips:
6
The needs_review and notes columns preserve human review notes for a small number of clips whose source labels required normalization.
Evaluation
Use pmd/pmd.parquet with lsvbench/tasks/prompts/pmd.md or the pmd task in lsvbench.
The prompt preserves detailed answer options (ERROR_REUSE, ERROR_SURFACE, ERROR_RELEASE, ERROR_INSTALL, ERROR_OTHER) for compatibility with existing model outputs. The public benchmark report collapses all non-CORRECT options into binary ERROR and reports only Error Detection metrics.