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ArXiv:
repcount / README.md
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Clarify QA format and Countix/RepCount attribution
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RepCount

Full-set metadata for lmms-eval task repcount.

Dataset Contents

This repository contains metadata/annotations only. Raw video files are not embedded in this repo.

QA Format

Each row is count-based QA for repetition counting:

  • video / video_id: media reference
  • question: natural-language counting prompt
  • count: integer ground-truth repetition count
  • action_type (optional): action category metadata

In lmms-eval, targets are read from count first (fallbacks: answer, number, gt_count, label), and scored by mae_norm and obo.

Raw Media Requirement

  • Metadata source: https://github.com/sinhasaptarshi/EveryShotCounts (datasets/repcount/*_with_fps.csv)
  • Raw video location: official RepCount downloads / YouTube-derived media (not embedded here)
  • Expected local media root for evaluation: $REPCOUNT_VIDEO_DIR or $HF_HOME/repcount

Attribution and Relationship

RepCount is introduced in TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting (CVPR 2022, arXiv:2204.01018). Countix is a separate dataset introduced in Counting Out Time (CVPR 2020, arXiv:2006.15418). RepCount and Countix are independent datasets from different research groups.