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VideoSearchR1/charades-stage1_data

VideoSearch-R1 Charades-STA This repository contains the prepared Charades-STA artifacts used by VideoSearch-R1. Paper: VideoSearch-R1: Iterative Video Retrieval and Reasoning via Soft Query Refinement Project Page: https://mlvlab.github.io/VideoSearch-R1/ Repository: https://github.com/mlvlab/VideoSearch-R1 Stage 1 Cold Start SFT Charades_STA_Stage1_ColdStart.jsonl is the Stage 1 cold-start SFT dataset used to train the VideoSearch-R1 verifier/reasoner on… See the full description on the dataset page: https://huggingface.co/datasets/VideoSearchR1/charades-stage1_data.

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VideoSearch-R1 Charades-STA

This repository contains the prepared Charades-STA artifacts used by VideoSearch-R1.

—Paper: VideoSearch-R1: Iterative Video Retrieval and Reasoning via Soft Query Refinement
—Project Page: https://mlvlab.github.io/VideoSearch-R1/
—Repository: https://github.com/mlvlab/VideoSearch-R1

Stage 1 Cold Start SFT

Charades_STA_Stage1_ColdStart.jsonl is the Stage 1 cold-start SFT dataset used to train the VideoSearch-R1 verifier/reasoner on Charades-STA. Each row keeps the ShareGPT-style messages format:

—system: task instruction and output schema
—user: query plus retrieved video placeholder
—assistant: reasoning trace and final match decision

The original training-compatible JSON array is also retained at sft_data/train_oneturn.json. Video paths in each row refer to the prepared training video features under train/video_npy_with_meta.