# 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.