| # 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. | |